CINXE.COM

<!DOCTYPE html> <html lang="en" xmlns:fb="http://www.facebook.com/2008/fbml" class="wf-loading"> <head prefix="og: https://ogp.me/ns# fb: https://ogp.me/ns/fb# academia: https://ogp.me/ns/fb/academia#"> <meta charset="utf-8"> <meta name=viewport content="width=device-width, initial-scale=1"> <meta rel="search" type="application/opensearchdescription+xml" href="/open_search.xml" title="Academia.edu"> <title>Computer Science Research Papers - Academia.edu</title>  <link href="//a.academia-assets.com/images/favicons/favicon-production.ico" rel="shortcut icon" type="image/vnd.microsoft.icon"> <link rel="apple-touch-icon" sizes="57x57" href="//a.academia-assets.com/images/favicons/apple-touch-icon-57x57.png"> <link rel="apple-touch-icon" sizes="60x60" href="//a.academia-assets.com/images/favicons/apple-touch-icon-60x60.png"> <link rel="apple-touch-icon" sizes="72x72" href="//a.academia-assets.com/images/favicons/apple-touch-icon-72x72.png"> <link rel="apple-touch-icon" sizes="76x76" href="//a.academia-assets.com/images/favicons/apple-touch-icon-76x76.png"> <link rel="apple-touch-icon" sizes="114x114" href="//a.academia-assets.com/images/favicons/apple-touch-icon-114x114.png"> <link rel="apple-touch-icon" sizes="120x120" href="//a.academia-assets.com/images/favicons/apple-touch-icon-120x120.png"> <link rel="apple-touch-icon" sizes="144x144" href="//a.academia-assets.com/images/favicons/apple-touch-icon-144x144.png"> <link rel="apple-touch-icon" sizes="152x152" href="//a.academia-assets.com/images/favicons/apple-touch-icon-152x152.png"> <link rel="apple-touch-icon" sizes="180x180" href="//a.academia-assets.com/images/favicons/apple-touch-icon-180x180.png"> <link rel="icon" type="image/png" href="//a.academia-assets.com/images/favicons/favicon-32x32.png" sizes="32x32"> <link rel="icon" type="image/png" href="//a.academia-assets.com/images/favicons/favicon-194x194.png" sizes="194x194"> <link rel="icon" type="image/png" href="//a.academia-assets.com/images/favicons/favicon-96x96.png" sizes="96x96"> <link rel="icon" type="image/png" href="//a.academia-assets.com/images/favicons/android-chrome-192x192.png" sizes="192x192"> <link rel="icon" type="image/png" href="//a.academia-assets.com/images/favicons/favicon-16x16.png" sizes="16x16"> <link rel="manifest" href="//a.academia-assets.com/images/favicons/manifest.json"> <meta name="msapplication-TileColor" content="#2b5797"> <meta name="msapplication-TileImage" content="//a.academia-assets.com/images/favicons/mstile-144x144.png"> <meta name="theme-color" content="#ffffff"> <script> window.performance && window.performance.measure && window.performance.measure("Time To First Byte", "requestStart", "responseStart"); </script> <script> (function() { if (!window.URLSearchParams || !window.history || !window.history.replaceState) { return; } var searchParams = new URLSearchParams(window.location.search); var paramsToDelete = [ 'fs', 'sm', 'swp', 'iid', 'nbs', 'rcc', // related content category 'rcpos', // related content carousel position 'rcpg', // related carousel page 'rchid', // related content hit id 'f_ri', // research interest id, for SEO tracking 'f_fri', // featured research interest, for SEO tracking (param key without value) 'f_rid', // from research interest directory for SEO tracking 'f_loswp', // from research interest pills on LOSWP sidebar for SEO tracking 'rhid', // referrring hit id ]; if (paramsToDelete.every((key) => searchParams.get(key) === null)) { return; } paramsToDelete.forEach((key) => { searchParams.delete(key); }); var cleanUrl = new URL(window.location.href); cleanUrl.search = searchParams.toString(); history.replaceState({}, document.title, cleanUrl); })(); </script> <script async src="https://www.googletagmanager.com/gtag/js?id=G-5VKX33P2DS"></script> <script> window.dataLayer = window.dataLayer || []; function gtag(){dataLayer.push(arguments);} gtag('js', new Date()); gtag('config', 'G-5VKX33P2DS', { cookie_domain: 'academia.edu', send_page_view: false, }); gtag('event', 'page_view', { 'controller': "by_tag", 'action': "show_one", 'controller_action': 'by_tag#show_one', 'logged_in': 'false', 'edge': 'unknown', // Send nil if there is no A/B test bucket, in case some records get logged // with missing data - that way we can distinguish between the two cases. // ab_test_bucket should be of the form <ab_test_name>:<bucket> 'ab_test_bucket': null, }) </script> <script type="text/javascript"> window.sendUserTiming = function(timingName) { if (!(window.performance && window.performance.measure)) return; var entries = window.performance.getEntriesByName(timingName, "measure"); if (entries.length !== 1) return; var timingValue = Math.round(entries[0].duration); gtag('event', 'timing_complete', { name: timingName, value: timingValue, event_category: 'User-centric', }); }; window.sendUserTiming("Time To First Byte"); </script> <meta name="csrf-param" content="authenticity_token" /> <meta name="csrf-token" content="puHHSO_n97a14W40DgnX0LdRQdmNWPkRzVtqSPdt1k41zqiaiPIWQhuv3FNhkAnxqAj51WICgCsRV5kBo-zNXQ" /> <link href="/Documents/in/Computer_Science?after=50%2C79927716" rel="next" /><link crossorigin="" href="https://fonts.gstatic.com/" rel="preconnect" /><link href="https://fonts.googleapis.com/css2?family=DM+Sans:ital,opsz,wght@0,9..40,100..1000;1,9..40,100..1000&family=Gupter:wght@400;500;700&family=IBM+Plex+Mono:wght@300;400&family=Material+Symbols+Outlined:opsz,wght,FILL,GRAD@20,400,0,0&display=swap" rel="stylesheet" /><link rel="stylesheet" media="all" href="//a.academia-assets.com/assets/design_system/common-2b6f90dbd75f5941bc38f4ad716615f3ac449e7398313bb3bc225fba451cd9fa.css" /> <meta name="description" content="View Computer Science Research Papers on Academia.edu for free." /> <meta name="google-site-verification" content="bKJMBZA7E43xhDOopFZkssMMkBRjvYERV-NaN4R6mrs" /> <script> var $controller_name = 'by_tag'; var $action_name = "show_one"; var $rails_env = 'production'; var $app_rev = 'a611251468e7713c7d962d490ecd7448bcc625f4'; var $domain = 'academia.edu'; var $app_host = "academia.edu"; var $asset_host = "academia-assets.com"; var $start_time = new Date().getTime(); var $recaptcha_key = "6LdxlRMTAAAAADnu_zyLhLg0YF9uACwz78shpjJB"; var $recaptcha_invisible_key = "6Lf3KHUUAAAAACggoMpmGJdQDtiyrjVlvGJ6BbAj"; var $disableClientRecordHit = false; </script> <script> window.Aedu = { hit_data: null }; window.Aedu.SiteStats = {"premium_universities_count":14062,"monthly_visitors":"97 million","monthly_visitor_count":97364619,"monthly_visitor_count_in_millions":97,"user_count":281688931,"paper_count":55203019,"paper_count_in_millions":55,"page_count":432000000,"page_count_in_millions":432,"pdf_count":16500000,"pdf_count_in_millions":16}; window.Aedu.serverRenderTime = new Date(1738323191000); window.Aedu.timeDifference = new Date().getTime() - 1738323191000; window.Aedu.isUsingCssV1 = false; window.Aedu.enableLocalization = true; window.Aedu.activateFullstory = false; window.Aedu.serviceAvailability = { status: {"attention_db":"on","bibliography_db":"on","contacts_db":"on","email_db":"on","indexability_db":"on","mentions_db":"on","news_db":"on","notifications_db":"on","offsite_mentions_db":"on","redshift":"on","redshift_exports_db":"on","related_works_db":"on","ring_db":"on","user_tests_db":"on"}, serviceEnabled: function(service) { return this.status[service] === "on"; }, readEnabled: function(service) { return this.serviceEnabled(service) || this.status[service] === "read_only"; }, }; window.Aedu.viewApmTrace = function() { // Check if x-apm-trace-id meta tag is set, and open the trace in APM // in a new window if it is. var apmTraceId = document.head.querySelector('meta[name="x-apm-trace-id"]'); if (apmTraceId) { var traceId = apmTraceId.content; // Use trace ID to construct URL, an example URL looks like: // https://app.datadoghq.com/apm/traces?query=trace_id%31298410148923562634 var apmUrl = 'https://app.datadoghq.com/apm/traces?query=trace_id%3A' + traceId; window.open(apmUrl, '_blank'); } }; </script>  <link href="https://fonts.googleapis.com/css?family=Roboto:100,100i,300,300i,400,400i,500,500i,700,700i,900,900i" rel="stylesheet"> <link rel="preload" href="//maxcdn.bootstrapcdn.com/font-awesome/4.3.0/css/font-awesome.min.css" as="style" onload="this.rel='stylesheet'"> <link rel="stylesheet" media="all" href="//a.academia-assets.com/assets/libraries-a9675dcb01ec4ef6aa807ba772c7a5a00c1820d3ff661c1038a20f80d06bb4e4.css" /> <link rel="stylesheet" media="all" href="//a.academia-assets.com/assets/academia-40698df34f913bd208bb70f09d2feb7c6286046250be17a4db35bba2c08b0e2f.css" /> <link rel="stylesheet" media="all" href="//a.academia-assets.com/assets/design_system_legacy-056a9113b9a0f5343d013b29ee1929d5a18be35fdcdceb616600b4db8bd20054.css" /> <script src="//a.academia-assets.com/assets/webpack_bundles/runtime-bundle-005434038af4252ca37c527588411a3d6a0eabb5f727fac83f8bbe7fd88d93bb.js"></script> <script src="//a.academia-assets.com/assets/webpack_bundles/webpack_libraries_and_infrequently_changed.wjs-bundle-2a11e5acfd6702b5b2863d6ad2388d176a0cb62eb7c364ba6b2ed3639df81221.js"></script> <script src="//a.academia-assets.com/assets/webpack_bundles/core_webpack.wjs-bundle-2cae48e7707ff3932644684a06ac26fe800d7c34641d288f308ebf8fb9016941.js"></script> <script src="//a.academia-assets.com/assets/webpack_bundles/sentry.wjs-bundle-5fe03fddca915c8ba0f7edbe64c194308e8ce5abaed7bffe1255ff37549c4808.js"></script> <script> jade = window.jade || {}; jade.helpers = window.$h; jade._ = window._; </script>  <script id="tag-manager-head-root">(function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start': new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0], j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src= 'https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f); })(window,document,'script','dataLayer_old','GTM-5G9JF7Z');</script>  <script> window.gptadslots = []; window.googletag = window.googletag || {}; window.googletag.cmd = window.googletag.cmd || []; </script> <script type="text/javascript"> // TODO(jacob): This should be defined, may be rare load order problem. // Checking if null is just a quick fix, will default to en if unset. // Better fix is to run this immedietely after I18n is set. if (window.I18n != null) { I18n.defaultLocale = "en"; I18n.locale = "en"; I18n.fallbacks = true; } </script> <link rel="canonical" href="https://www.academia.edu/Documents/in/Computer_Science" /> </head>   <body class='c-by_tag a-show_one logged_out u-bgColorWhite'>  <div id="fb-root"></div><script>window.fbAsyncInit = function() { FB.init({ appId: "2369844204", version: "v8.0", status: true, cookie: true, xfbml: true }); // Additional initialization code. if (window.InitFacebook) { // facebook.ts already loaded, set it up. window.InitFacebook(); } else { // Set a flag for facebook.ts to find when it loads. window.academiaAuthReadyFacebook = true; } };</script><script>window.fbAsyncLoad = function() { // Protection against double calling of this function if (window.FB) { return; } (function(d, s, id){ var js, fjs = d.getElementsByTagName(s)[0]; if (d.getElementById(id)) {return;} js = d.createElement(s); js.id = id; js.src = "//connect.facebook.net/en_US/sdk.js"; fjs.parentNode.insertBefore(js, fjs); }(document, 'script', 'facebook-jssdk')); } if (!window.defer_facebook) { // Autoload if not deferred window.fbAsyncLoad(); } else { // Defer loading by 5 seconds setTimeout(function() { window.fbAsyncLoad(); }, 5000); }</script> <div id="google-root"></div><script>window.loadGoogle = function() { if (window.InitGoogle) { // google.ts already loaded, set it up. window.InitGoogle("331998490334-rsn3chp12mbkiqhl6e7lu2q0mlbu0f1b"); } else { // Set a flag for google.ts to use when it loads. window.GoogleClientID = "331998490334-rsn3chp12mbkiqhl6e7lu2q0mlbu0f1b"; } };</script><script>window.googleAsyncLoad = function() { // Protection against double calling of this function (function(d) { var js; var id = 'google-jssdk'; var ref = d.getElementsByTagName('script')[0]; if (d.getElementById(id)) { return; } js = d.createElement('script'); js.id = id; js.async = true; js.onload = loadGoogle; js.src = "https://accounts.google.com/gsi/client" ref.parentNode.insertBefore(js, ref); }(document)); } if (!window.defer_google) { // Autoload if not deferred window.googleAsyncLoad(); } else { // Defer loading by 5 seconds setTimeout(function() { window.googleAsyncLoad(); }, 5000); }</script> <div id="tag-manager-body-root">  <noscript><iframe src="https://www.googletagmanager.com/ns.html?id=GTM-5G9JF7Z" height="0" width="0" style="display:none;visibility:hidden"></iframe></noscript>   <script> window.addEventListener('load', function() { if (document.querySelector('input[name="commit"]')) { document.querySelector('input[name="commit"]').addEventListener('click', function() { gtag('event', 'click', { event_category: 'button', event_label: 'Log In' }) }) } }); </script> </div> <script>var _comscore = _comscore || []; _comscore.push({ c1: "2", c2: "26766707" }); (function() { var s = document.createElement("script"), el = document.getElementsByTagName("script")[0]; s.async = true; s.src = (document.location.protocol == "https:" ? "https://sb" : "http://b") + ".scorecardresearch.com/beacon.js"; el.parentNode.insertBefore(s, el); })();</script><img src="https://sb.scorecardresearch.com/p?c1=2&c2=26766707&cv=2.0&cj=1" style="position: absolute; visibility: hidden" /> <div id='react-modal'></div> <div class='DesignSystem'> <a class='u-showOnFocus' href='#site'> Skip to main content </a> </div> <div id="upgrade_ie_banner" style="display: none;"><p>Academia.edu no longer supports Internet Explorer.</p><p>To browse Academia.edu and the wider internet faster and more securely, please take a few seconds to <a href="https://www.academia.edu/upgrade-browser">upgrade your browser</a>.</p></div><script>// Show this banner for all versions of IE if (!!window.MSInputMethodContext || /(MSIE)/.test(navigator.userAgent)) { document.getElementById('upgrade_ie_banner').style.display = 'block'; }</script> <div class="DesignSystem bootstrap ShrinkableNav no-sm no-md"><div class="navbar navbar-default main-header"><div class="container-wrapper" id="main-header-container"><div class="container"><div class="navbar-header"><div class="nav-left-wrapper u-mt0x"><div class="nav-logo"><a data-main-header-link-target="logo_home" href="https://www.academia.edu/"><img class="visible-xs-inline-block" style="height: 24px;" alt="Academia.edu" src="//a.academia-assets.com/images/academia-logo-redesign-2015-A.svg" width="24" height="24" /><img width="145.2" height="18" class="hidden-xs" style="height: 24px;" alt="Academia.edu" src="//a.academia-assets.com/images/academia-logo-redesign-2015.svg" /></a></div><div class="nav-search"><div class="SiteSearch-wrapper select2-no-default-pills"><form class="js-SiteSearch-form DesignSystem" action="https://www.academia.edu/search" accept-charset="UTF-8" method="get"><i class="SiteSearch-icon fa fa-search u-fw700 u-positionAbsolute u-tcGrayDark"></i><input class="js-SiteSearch-form-input SiteSearch-form-input form-control" data-main-header-click-target="search_input" name="q" placeholder="Search" type="text" value="" /></form></div></div></div><div class="nav-right-wrapper pull-right"><ul class="NavLinks js-main-nav list-unstyled"><li class="NavLinks-link"><a class="js-header-login-url Button Button--inverseGray Button--sm u-mb4x" id="nav_log_in" rel="nofollow" href="https://www.academia.edu/login">Log In</a></li><li class="NavLinks-link u-p0x"><a class="Button Button--inverseGray Button--sm u-mb4x" rel="nofollow" href="https://www.academia.edu/signup">Sign Up</a></li></ul><button class="hidden-lg hidden-md hidden-sm u-ml4x navbar-toggle collapsed" data-target=".js-mobile-header-links" data-toggle="collapse" type="button"><span class="icon-bar"></span><span class="icon-bar"></span><span class="icon-bar"></span></button></div></div><div class="collapse navbar-collapse js-mobile-header-links"><ul class="nav navbar-nav"><li class="u-borderColorGrayLight u-borderBottom1"><a rel="nofollow" href="https://www.academia.edu/login">Log In</a></li><li class="u-borderColorGrayLight u-borderBottom1"><a rel="nofollow" href="https://www.academia.edu/signup">Sign Up</a></li><li class="u-borderColorGrayLight u-borderBottom1 js-mobile-nav-expand-trigger"><a href="#">more&nbsp<span class="caret"></span></a></li><li><ul class="js-mobile-nav-expand-section nav navbar-nav u-m0x collapse"><li class="u-borderColorGrayLight u-borderBottom1"><a rel="false" href="https://www.academia.edu/about">About</a></li><li class="u-borderColorGrayLight u-borderBottom1"><a rel="nofollow" href="https://www.academia.edu/press">Press</a></li><li class="u-borderColorGrayLight u-borderBottom1"><a rel="false" href="https://www.academia.edu/documents">Papers</a></li><li class="u-borderColorGrayLight u-borderBottom1"><a rel="nofollow" href="https://www.academia.edu/terms">Terms</a></li><li class="u-borderColorGrayLight u-borderBottom1"><a rel="nofollow" href="https://www.academia.edu/privacy">Privacy</a></li><li class="u-borderColorGrayLight u-borderBottom1"><a rel="nofollow" href="https://www.academia.edu/copyright">Copyright</a></li><li class="u-borderColorGrayLight u-borderBottom1"><a rel="nofollow" href="https://www.academia.edu/hiring"><i class="fa fa-briefcase"></i> We're Hiring!</a></li><li class="u-borderColorGrayLight u-borderBottom1"><a rel="nofollow" href="https://support.academia.edu/"><i class="fa fa-question-circle"></i> Help Center</a></li><li class="js-mobile-nav-collapse-trigger u-borderColorGrayLight u-borderBottom1 dropup" style="display:none"><a href="#">less&nbsp<span class="caret"></span></a></li></ul></li></ul></div></div></div><script>(function(){ var $moreLink = $(".js-mobile-nav-expand-trigger"); var $lessLink = $(".js-mobile-nav-collapse-trigger"); var $section = $('.js-mobile-nav-expand-section'); $moreLink.click(function(ev){ ev.preventDefault(); $moreLink.hide(); $lessLink.show(); $section.collapse('show'); }); $lessLink.click(function(ev){ ev.preventDefault(); $moreLink.show(); $lessLink.hide(); $section.collapse('hide'); }); })() if ($a.is_logged_in() || false) { new Aedu.NavigationController({ el: '.js-main-nav', showHighlightedNotification: false }); } else { $(".js-header-login-url").attr("href", $a.loginUrlWithRedirect()); } Aedu.autocompleteSearch = new AutocompleteSearch({el: '.js-SiteSearch-form'});</script></div></div> <div id='site' class='fixed'> <div id="content" class="clearfix"> <script>document.addEventListener('DOMContentLoaded', function(){ var $dismissible = $(".dismissible_banner"); $dismissible.click(function(ev) { $dismissible.hide(); }); });</script> <div class="DesignSystem" style="margin-top:-40px"><div class="PageHeader"><div class="container"><div class="row"><style type="text/css">.sor-abstract { display: -webkit-box; overflow: hidden; text-overflow: ellipsis; -webkit-line-clamp: 3; -webkit-box-orient: vertical; }</style><div class="col-xs-12 clearfix"><div class="u-floatLeft"><h1 class="PageHeader-title u-m0x u-fs30">Computer Science</h1><div class="u-tcGrayDark">6,218,196 Followers</div><div class="u-tcGrayDark u-mt2x">Recent papers in <b>Computer Science</b></div></div></div></div></div></div><div class="TabbedNavigation"><div class="container"><div class="row"><div class="col-xs-12 clearfix"><ul class="nav u-m0x u-p0x list-inline u-displayFlex"><li class="active"><a href="https://www.academia.edu/Documents/in/Computer_Science">Top Papers</a></li><li><a href="https://www.academia.edu/Documents/in/Computer_Science/MostCited">Most Cited Papers</a></li><li><a href="https://www.academia.edu/Documents/in/Computer_Science/MostDownloaded">Most Downloaded Papers</a></li><li><a href="https://www.academia.edu/Documents/in/Computer_Science/MostRecent">Newest Papers</a></li><li><a class="" href="https://www.academia.edu/People/Computer_Science">People</a></li></ul></div><style type="text/css">ul.nav{flex-direction:row}@media(max-width: 567px){ul.nav{flex-direction:column}.TabbedNavigation li{max-width:100%}.TabbedNavigation li.active{background-color:var(--background-grey, #dddde2)}.TabbedNavigation li.active:before,.TabbedNavigation li.active:after{display:none}}</style></div></div></div><div class="container"><div class="row"><div class="col-xs-12"><div class="u-displayFlex"><div class="u-flexGrow1"><div class="works"><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_76119026" data-work_id="76119026" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/76119026/Using_the_Pedagogy_of_Technology_for_Student_Success_through_Media_Centers_Flipping_Multiple_Intelligences_theory_and_other_such_Rott_in_Teacher_Education">Using the Pedagogy of Technology for Student Success through Media Centers, Flipping, Multiple Intelligences theory and other such “Rott” in Teacher Education</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">Media Centers offer an opportunity to diversify optional delivery methods. Coupled with the idea of multiple intelligences – different ways of learning, I was able to put into practice an old strategy into play – offer within the same... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_76119026" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Media Centers offer an opportunity to diversify optional delivery methods. Coupled with the idea of multiple intelligences – different ways of learning, I was able to put into practice an old strategy into play – offer within the same classroom different ways to learn the same lesson. The Media Center offers the opportunity to use different learning stations with three different smart boards, and a fourth station to generate and deliver lessons using technology as well as some students want – a low technology approach. Innovative ideas such as flipping – changing homework into class time activities and classroom activities into homework provide a great opportunity to enhance student success. Optional grading opportunities present themselves such as using the textbook and the test as learning tools and strategy as a by-product of this learning approach. A demonstration of this model and the student success results will be presented.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/76119026" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="f3811daeab17d505726454b44da1b649" rel="nofollow" data-download="{"attachment_id":83791176,"asset_id":76119026,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/83791176/download_file?st=MTczODMyMzE5MCw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="56199922" href="https://independent.academia.edu/WillieDavis3">Willie Davis</a><script data-card-contents-for-user="56199922" type="text/json">{"id":56199922,"first_name":"Willie","last_name":"Davis","domain_name":"independent","page_name":"WillieDavis3","display_name":"Willie Davis","profile_url":"https://independent.academia.edu/WillieDavis3?f_ri=422","photo":"https://0.academia-photos.com/56199922/55005162/43170113/s65_willie.davis.jpeg"}</script></span></span></li><li class="js-paper-rank-work_76119026 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="76119026"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 76119026, container: ".js-paper-rank-work_76119026", }); });</script></li><li class="js-percentile-work_76119026 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 76119026; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_76119026"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_76119026 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="76119026"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 76119026; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=76119026]").text(description); $(".js-view-count-work_76119026").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_76119026").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="76119026"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">2</a>  </div><span class="InlineList-item-text u-textTruncate u-pl9x"><a class="InlineList-item-text" data-has-card-for-ri="422" rel="nofollow" href="https://www.academia.edu/Documents/in/Computer_Science">Computer Science</a>, <script data-card-contents-for-ri="422" type="text/json">{"id":422,"name":"Computer Science","url":"https://www.academia.edu/Documents/in/Computer_Science?f_ri=422","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="2731" rel="nofollow" href="https://www.academia.edu/Documents/in/Mathematics_Education">Mathematics Education</a><script data-card-contents-for-ri="2731" type="text/json">{"id":2731,"name":"Mathematics Education","url":"https://www.academia.edu/Documents/in/Mathematics_Education?f_ri=422","nofollow":true}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=76119026]'), work: {"id":76119026,"title":"Using the Pedagogy of Technology for Student Success through Media Centers, Flipping, Multiple Intelligences theory and other such “Rott” in Teacher Education","created_at":"2022-04-11T06:48:25.505-07:00","url":"https://www.academia.edu/76119026/Using_the_Pedagogy_of_Technology_for_Student_Success_through_Media_Centers_Flipping_Multiple_Intelligences_theory_and_other_such_Rott_in_Teacher_Education?f_ri=422","dom_id":"work_76119026","summary":"Media Centers offer an opportunity to diversify optional delivery methods. Coupled with the idea of multiple intelligences – different ways of learning, I was able to put into practice an old strategy into play – offer within the same classroom different ways to learn the same lesson. The Media Center offers the opportunity to use different learning stations with three different smart boards, and a fourth station to generate and deliver lessons using technology as well as some students want – a low technology approach. Innovative ideas such as flipping – changing homework into class time activities and classroom activities into homework provide a great opportunity to enhance student success. Optional grading opportunities present themselves such as using the textbook and the test as learning tools and strategy as a by-product of this learning approach. A demonstration of this model and the student success results will be presented.","downloadable_attachments":[{"id":83791176,"asset_id":76119026,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":56199922,"first_name":"Willie","last_name":"Davis","domain_name":"independent","page_name":"WillieDavis3","display_name":"Willie Davis","profile_url":"https://independent.academia.edu/WillieDavis3?f_ri=422","photo":"https://0.academia-photos.com/56199922/55005162/43170113/s65_willie.davis.jpeg"}],"research_interests":[{"id":422,"name":"Computer Science","url":"https://www.academia.edu/Documents/in/Computer_Science?f_ri=422","nofollow":true},{"id":2731,"name":"Mathematics Education","url":"https://www.academia.edu/Documents/in/Mathematics_Education?f_ri=422","nofollow":true}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_64920070" data-work_id="64920070" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/64920070/Optimal_preventive_maintenance_for_a_two_dimensional_lease_contract">Optimal preventive maintenance for a two dimensional lease contract</a></div></div><div class="u-pb4x u-mt3x"></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/64920070" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="2ccd739868bb7a31da53962cdff08582" rel="nofollow" data-download="{"attachment_id":76731590,"asset_id":64920070,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/76731590/download_file?st=MTczODMyMzE5MCw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="6746702" href="https://independent.academia.edu/BermawiPriyatnaIskandar">Bermawi Priyatna Iskandar</a><script data-card-contents-for-user="6746702" type="text/json">{"id":6746702,"first_name":"Bermawi Priyatna","last_name":"Iskandar","domain_name":"independent","page_name":"BermawiPriyatnaIskandar","display_name":"Bermawi Priyatna Iskandar","profile_url":"https://independent.academia.edu/BermawiPriyatnaIskandar?f_ri=422","photo":"https://0.academia-photos.com/6746702/3642053/4271336/s65_bermawi_priyatna.iskandar.jpg"}</script></span></span></li><li class="js-paper-rank-work_64920070 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="64920070"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 64920070, container: ".js-paper-rank-work_64920070", }); });</script></li><li class="js-percentile-work_64920070 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 64920070; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_64920070"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_64920070 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="64920070"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 64920070; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=64920070]").text(description); $(".js-view-count-work_64920070").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_64920070").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="64920070"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">3</a>  </div><span class="InlineList-item-text u-textTruncate u-pl9x"><a class="InlineList-item-text" data-has-card-for-ri="48" rel="nofollow" href="https://www.academia.edu/Documents/in/Engineering">Engineering</a>, <script data-card-contents-for-ri="48" type="text/json">{"id":48,"name":"Engineering","url":"https://www.academia.edu/Documents/in/Engineering?f_ri=422","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="422" rel="nofollow" href="https://www.academia.edu/Documents/in/Computer_Science">Computer Science</a>, <script data-card-contents-for-ri="422" type="text/json">{"id":422,"name":"Computer Science","url":"https://www.academia.edu/Documents/in/Computer_Science?f_ri=422","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="80414" rel="nofollow" href="https://www.academia.edu/Documents/in/Mathematical_Sciences">Mathematical Sciences</a><script data-card-contents-for-ri="80414" type="text/json">{"id":80414,"name":"Mathematical Sciences","url":"https://www.academia.edu/Documents/in/Mathematical_Sciences?f_ri=422","nofollow":true}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=64920070]'), work: {"id":64920070,"title":"Optimal preventive maintenance for a two dimensional lease contract","created_at":"2021-12-17T20:21:09.764-08:00","url":"https://www.academia.edu/64920070/Optimal_preventive_maintenance_for_a_two_dimensional_lease_contract?f_ri=422","dom_id":"work_64920070","summary":null,"downloadable_attachments":[{"id":76731590,"asset_id":64920070,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":6746702,"first_name":"Bermawi Priyatna","last_name":"Iskandar","domain_name":"independent","page_name":"BermawiPriyatnaIskandar","display_name":"Bermawi Priyatna Iskandar","profile_url":"https://independent.academia.edu/BermawiPriyatnaIskandar?f_ri=422","photo":"https://0.academia-photos.com/6746702/3642053/4271336/s65_bermawi_priyatna.iskandar.jpg"}],"research_interests":[{"id":48,"name":"Engineering","url":"https://www.academia.edu/Documents/in/Engineering?f_ri=422","nofollow":true},{"id":422,"name":"Computer Science","url":"https://www.academia.edu/Documents/in/Computer_Science?f_ri=422","nofollow":true},{"id":80414,"name":"Mathematical Sciences","url":"https://www.academia.edu/Documents/in/Mathematical_Sciences?f_ri=422","nofollow":true}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_79748907" data-work_id="79748907" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/79748907/An_Emerging_Vocabulary_Architecture_of_Performance">An Emerging Vocabulary: Architecture of Performance</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest">Part of the Architectural Engineering Commons, Construction Engineering Commons, and the Environmental Design Commons Right click to open a feedback form in a new tab to let us know how this document benefits you.</div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/79748907" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="859c548a48a0db9793ac987179ef1c06" rel="nofollow" data-download="{"attachment_id":86358537,"asset_id":79748907,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/86358537/download_file?st=MTczODMyMzE5MCw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="174772381" href="https://independent.academia.edu/LuhanGregory">Gregory Luhan</a><script data-card-contents-for-user="174772381" type="text/json">{"id":174772381,"first_name":"Gregory","last_name":"Luhan","domain_name":"independent","page_name":"LuhanGregory","display_name":"Gregory Luhan","profile_url":"https://independent.academia.edu/LuhanGregory?f_ri=422","photo":"https://0.academia-photos.com/174772381/85880840/74536580/s65_gregory.luhan.jpeg"}</script></span></span></li><li class="js-paper-rank-work_79748907 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="79748907"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 79748907, container: ".js-paper-rank-work_79748907", }); });</script></li><li class="js-percentile-work_79748907 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 79748907; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_79748907"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_79748907 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="79748907"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 79748907; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=79748907]").text(description); $(".js-view-count-work_79748907").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_79748907").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="79748907"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">7</a>  </div><span class="InlineList-item-text u-textTruncate u-pl9x"><a class="InlineList-item-text" data-has-card-for-ri="422" rel="nofollow" href="https://www.academia.edu/Documents/in/Computer_Science">Computer Science</a>, <script data-card-contents-for-ri="422" type="text/json">{"id":422,"name":"Computer Science","url":"https://www.academia.edu/Documents/in/Computer_Science?f_ri=422","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="1372" rel="nofollow" href="https://www.academia.edu/Documents/in/Architecture">Architecture</a>, <script data-card-contents-for-ri="1372" type="text/json">{"id":1372,"name":"Architecture","url":"https://www.academia.edu/Documents/in/Architecture?f_ri=422","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="5412" rel="nofollow" href="https://www.academia.edu/Documents/in/Energy">Energy</a>, <script data-card-contents-for-ri="5412" type="text/json">{"id":5412,"name":"Energy","url":"https://www.academia.edu/Documents/in/Energy?f_ri=422","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="5591" rel="nofollow" href="https://www.academia.edu/Documents/in/Vocabulary">Vocabulary</a><script data-card-contents-for-ri="5591" type="text/json">{"id":5591,"name":"Vocabulary","url":"https://www.academia.edu/Documents/in/Vocabulary?f_ri=422","nofollow":true}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=79748907]'), work: {"id":79748907,"title":"An Emerging Vocabulary: Architecture of Performance","created_at":"2022-05-23T07:59:21.958-07:00","url":"https://www.academia.edu/79748907/An_Emerging_Vocabulary_Architecture_of_Performance?f_ri=422","dom_id":"work_79748907","summary":"Part of the Architectural Engineering Commons, Construction Engineering Commons, and the Environmental Design Commons Right click to open a feedback form in a new tab to let us know how this document benefits you.","downloadable_attachments":[{"id":86358537,"asset_id":79748907,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":174772381,"first_name":"Gregory","last_name":"Luhan","domain_name":"independent","page_name":"LuhanGregory","display_name":"Gregory Luhan","profile_url":"https://independent.academia.edu/LuhanGregory?f_ri=422","photo":"https://0.academia-photos.com/174772381/85880840/74536580/s65_gregory.luhan.jpeg"}],"research_interests":[{"id":422,"name":"Computer Science","url":"https://www.academia.edu/Documents/in/Computer_Science?f_ri=422","nofollow":true},{"id":1372,"name":"Architecture","url":"https://www.academia.edu/Documents/in/Architecture?f_ri=422","nofollow":true},{"id":5412,"name":"Energy","url":"https://www.academia.edu/Documents/in/Energy?f_ri=422","nofollow":true},{"id":5591,"name":"Vocabulary","url":"https://www.academia.edu/Documents/in/Vocabulary?f_ri=422","nofollow":true},{"id":45408,"name":"History of architecture","url":"https://www.academia.edu/Documents/in/History_of_architecture?f_ri=422"},{"id":113229,"name":"Studio","url":"https://www.academia.edu/Documents/in/Studio?f_ri=422"},{"id":184652,"name":"Kaleidoscope","url":"https://www.academia.edu/Documents/in/Kaleidoscope?f_ri=422"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_71127155" data-work_id="71127155" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/71127155/Communicating_in_Groups_Applications_and_Skills">Communicating in Groups: Applications and Skills</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">Part 1: Orientation to Small Group Systems Chapter 1: Small Groups as the Heart of Society Chapter 2: Groups as Structured Open Systems Part 2: Foundations of Small Group Communication Chapter 3: Communication Principles for Group Members... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_71127155" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Part 1: Orientation to Small Group Systems Chapter 1: Small Groups as the Heart of Society Chapter 2: Groups as Structured Open Systems Part 2: Foundations of Small Group Communication Chapter 3: Communication Principles for Group Members Part 3: From Individuals to Group Chapter 4: Becoming a Group Chapter 5: Working with Diversity in a Small Group Part 4: Understanding and Improving Group Throughput Processes Chapter 6: Creative and Critical Thinking in the Small Group Chapter 7: Group Problem Solving Procedures Chapter 8: Managing Conflicts Productively Chapter 9: Applying Leadership Principles. Part 5: Small Group Public Presentations Chapter 10: Planning, Organizing and Presenting Small Group Oral Presentations Appendix: Techniques for Observing Small Groups</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/71127155" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="b4b7acb3f1c8f700dbec83bae7af7fa4" rel="nofollow" data-download="{"attachment_id":80610834,"asset_id":71127155,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/80610834/download_file?st=MTczODMyMzE5MCw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="213953489" href="https://independent.academia.edu/GloriaGalanes">Gloria Galanes</a><script data-card-contents-for-user="213953489" type="text/json">{"id":213953489,"first_name":"Gloria","last_name":"Galanes","domain_name":"independent","page_name":"GloriaGalanes","display_name":"Gloria Galanes","profile_url":"https://independent.academia.edu/GloriaGalanes?f_ri=422","photo":"/images/s65_no_pic.png"}</script></span></span></li><li class="js-paper-rank-work_71127155 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="71127155"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 71127155, container: ".js-paper-rank-work_71127155", }); });</script></li><li class="js-percentile-work_71127155 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 71127155; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_71127155"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_71127155 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="71127155"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 71127155; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=71127155]").text(description); $(".js-view-count-work_71127155").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_71127155").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="71127155"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i></div><span class="InlineList-item-text u-textTruncate u-pl6x"><a class="InlineList-item-text" data-has-card-for-ri="422" rel="nofollow" href="https://www.academia.edu/Documents/in/Computer_Science">Computer Science</a><script data-card-contents-for-ri="422" type="text/json">{"id":422,"name":"Computer Science","url":"https://www.academia.edu/Documents/in/Computer_Science?f_ri=422","nofollow":true}</script></span></li><script>(function(){ if (false) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=71127155]'), work: {"id":71127155,"title":"Communicating in Groups: Applications and Skills","created_at":"2022-02-11T14:31:38.952-08:00","url":"https://www.academia.edu/71127155/Communicating_in_Groups_Applications_and_Skills?f_ri=422","dom_id":"work_71127155","summary":"Part 1: Orientation to Small Group Systems Chapter 1: Small Groups as the Heart of Society Chapter 2: Groups as Structured Open Systems Part 2: Foundations of Small Group Communication Chapter 3: Communication Principles for Group Members Part 3: From Individuals to Group Chapter 4: Becoming a Group Chapter 5: Working with Diversity in a Small Group Part 4: Understanding and Improving Group Throughput Processes Chapter 6: Creative and Critical Thinking in the Small Group Chapter 7: Group Problem Solving Procedures Chapter 8: Managing Conflicts Productively Chapter 9: Applying Leadership Principles. Part 5: Small Group Public Presentations Chapter 10: Planning, Organizing and Presenting Small Group Oral Presentations Appendix: Techniques for Observing Small Groups","downloadable_attachments":[{"id":80610834,"asset_id":71127155,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":213953489,"first_name":"Gloria","last_name":"Galanes","domain_name":"independent","page_name":"GloriaGalanes","display_name":"Gloria Galanes","profile_url":"https://independent.academia.edu/GloriaGalanes?f_ri=422","photo":"/images/s65_no_pic.png"}],"research_interests":[{"id":422,"name":"Computer Science","url":"https://www.academia.edu/Documents/in/Computer_Science?f_ri=422","nofollow":true}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_75677209" data-work_id="75677209" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/75677209/The_influence_of_individual_family_and_social_capital_factors_on_expatriate_adjustment_and_performance_The_moderating_effect_of_psychology_contract_and_organizational_support">The influence of individual, family, and social capital factors on expatriate adjustment and performance: The moderating effect of psychology contract and organizational support</a></div></div><div class="u-pb4x u-mt3x"></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/75677209" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="8af93d88b92c46cdb9578c516b55aebe" rel="nofollow" data-download="{"attachment_id":83352051,"asset_id":75677209,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/83352051/download_file?st=MTczODMyMzE5MCw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="61003225" href="https://unair.academia.edu/NurullailyKartika">Nurullaily Kartika</a><script data-card-contents-for-user="61003225" type="text/json">{"id":61003225,"first_name":"Nurullaily","last_name":"Kartika","domain_name":"unair","page_name":"NurullailyKartika","display_name":"Nurullaily Kartika","profile_url":"https://unair.academia.edu/NurullailyKartika?f_ri=422","photo":"https://0.academia-photos.com/61003225/15870348/16392872/s65_nurullaily.kartika.jpg"}</script></span></span></li><li class="js-paper-rank-work_75677209 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="75677209"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 75677209, container: ".js-paper-rank-work_75677209", }); });</script></li><li class="js-percentile-work_75677209 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 75677209; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_75677209"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_75677209 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="75677209"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 75677209; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=75677209]").text(description); $(".js-view-count-work_75677209").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_75677209").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="75677209"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">14</a>  </div><span class="InlineList-item-text u-textTruncate u-pl10x"><a class="InlineList-item-text" data-has-card-for-ri="221" rel="nofollow" href="https://www.academia.edu/Documents/in/Psychology">Psychology</a>, <script data-card-contents-for-ri="221" type="text/json">{"id":221,"name":"Psychology","url":"https://www.academia.edu/Documents/in/Psychology?f_ri=422","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="422" rel="nofollow" href="https://www.academia.edu/Documents/in/Computer_Science">Computer Science</a>, <script data-card-contents-for-ri="422" type="text/json">{"id":422,"name":"Computer Science","url":"https://www.academia.edu/Documents/in/Computer_Science?f_ri=422","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="2671" rel="nofollow" href="https://www.academia.edu/Documents/in/Emotional_intelligence">Emotional intelligence</a>, <script data-card-contents-for-ri="2671" type="text/json">{"id":2671,"name":"Emotional intelligence","url":"https://www.academia.edu/Documents/in/Emotional_intelligence?f_ri=422","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="4715" rel="nofollow" href="https://www.academia.edu/Documents/in/Social_Interaction">Social Interaction</a><script data-card-contents-for-ri="4715" type="text/json">{"id":4715,"name":"Social Interaction","url":"https://www.academia.edu/Documents/in/Social_Interaction?f_ri=422","nofollow":true}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=75677209]'), work: {"id":75677209,"title":"The influence of individual, family, and social capital factors on expatriate adjustment and performance: The moderating effect of psychology contract and organizational support","created_at":"2022-04-06T20:50:52.185-07:00","url":"https://www.academia.edu/75677209/The_influence_of_individual_family_and_social_capital_factors_on_expatriate_adjustment_and_performance_The_moderating_effect_of_psychology_contract_and_organizational_support?f_ri=422","dom_id":"work_75677209","summary":null,"downloadable_attachments":[{"id":83352051,"asset_id":75677209,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":61003225,"first_name":"Nurullaily","last_name":"Kartika","domain_name":"unair","page_name":"NurullailyKartika","display_name":"Nurullaily Kartika","profile_url":"https://unair.academia.edu/NurullailyKartika?f_ri=422","photo":"https://0.academia-photos.com/61003225/15870348/16392872/s65_nurullaily.kartika.jpg"}],"research_interests":[{"id":221,"name":"Psychology","url":"https://www.academia.edu/Documents/in/Psychology?f_ri=422","nofollow":true},{"id":422,"name":"Computer Science","url":"https://www.academia.edu/Documents/in/Computer_Science?f_ri=422","nofollow":true},{"id":2671,"name":"Emotional intelligence","url":"https://www.academia.edu/Documents/in/Emotional_intelligence?f_ri=422","nofollow":true},{"id":4715,"name":"Social Interaction","url":"https://www.academia.edu/Documents/in/Social_Interaction?f_ri=422","nofollow":true},{"id":5745,"name":"Social Capital","url":"https://www.academia.edu/Documents/in/Social_Capital?f_ri=422"},{"id":6177,"name":"Modeling","url":"https://www.academia.edu/Documents/in/Modeling?f_ri=422"},{"id":13975,"name":"Contract","url":"https://www.academia.edu/Documents/in/Contract?f_ri=422"},{"id":53331,"name":"Social behavior","url":"https://www.academia.edu/Documents/in/Social_behavior?f_ri=422"},{"id":80414,"name":"Mathematical Sciences","url":"https://www.academia.edu/Documents/in/Mathematical_Sciences?f_ri=422"},{"id":97345,"name":"Knowledge Engineering","url":"https://www.academia.edu/Documents/in/Knowledge_Engineering?f_ri=422"},{"id":157262,"name":"Adaptability","url":"https://www.academia.edu/Documents/in/Adaptability?f_ri=422"},{"id":246900,"name":"Business Process","url":"https://www.academia.edu/Documents/in/Business_Process?f_ri=422"},{"id":628583,"name":"Social Behavior","url":"https://www.academia.edu/Documents/in/Social_Behavior-1?f_ri=422"},{"id":1199379,"name":"Social Network","url":"https://www.academia.edu/Documents/in/Social_Network?f_ri=422"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_70207307" data-work_id="70207307" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/70207307/DeepEX_Bridging_the_Gap_Between_Knowledge_and_Data_Driven_Techniques_for_Time_Series_Forecasting">DeepEX: Bridging the Gap Between Knowledge and Data Driven Techniques for Time Series Forecasting</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">Artificial Intelligence (AI) can roughly be categorized into two streams, knowledge driven and data driven both of which have their own advantages. Incorporating knowledge into Deep Neural Networks (DNN), that are purely data driven, can... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_70207307" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Artificial Intelligence (AI) can roughly be categorized into two streams, knowledge driven and data driven both of which have their own advantages. Incorporating knowledge into Deep Neural Networks (DNN), that are purely data driven, can potentially improve the overall performance of the system. This paper presents such a fusion scheme, DeepEX, that combines these seemingly parallel streams of AI, for multi-step time-series forecasting problems. DeepEX achieves this in a way that merges best of both worlds along with a reduction in the amount of data required to train these models. This direction has been explored in the past for single step forecasting by opting for a residual learning scheme. We analyze the shortcomings of this simple residual learning scheme and enable DeepEX to not only avoid these shortcomings but also scale to multi-step prediction problems. DeepEX is tested on two commonly used time series forecasting datasets, CIF2016 and NN5, where it achieves competitive r...</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/70207307" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="8e77755e5d9f4445c7d27ff4b62e4316" rel="nofollow" data-download="{"attachment_id":80047697,"asset_id":70207307,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/80047697/download_file?st=MTczODMyMzE5MSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="83394649" href="https://independent.academia.edu/SherazAhmed45">Sheraz Ahmed</a><script data-card-contents-for-user="83394649" type="text/json">{"id":83394649,"first_name":"Sheraz","last_name":"Ahmed","domain_name":"independent","page_name":"SherazAhmed45","display_name":"Sheraz Ahmed","profile_url":"https://independent.academia.edu/SherazAhmed45?f_ri=422","photo":"/images/s65_no_pic.png"}</script></span></span></li><li class="js-paper-rank-work_70207307 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="70207307"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 70207307, container: ".js-paper-rank-work_70207307", }); });</script></li><li class="js-percentile-work_70207307 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 70207307; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_70207307"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_70207307 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="70207307"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 70207307; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=70207307]").text(description); $(".js-view-count-work_70207307").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_70207307").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="70207307"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i></div><span class="InlineList-item-text u-textTruncate u-pl6x"><a class="InlineList-item-text" data-has-card-for-ri="422" rel="nofollow" href="https://www.academia.edu/Documents/in/Computer_Science">Computer Science</a><script data-card-contents-for-ri="422" type="text/json">{"id":422,"name":"Computer Science","url":"https://www.academia.edu/Documents/in/Computer_Science?f_ri=422","nofollow":true}</script></span></li><script>(function(){ if (false) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=70207307]'), work: {"id":70207307,"title":"DeepEX: Bridging the Gap Between Knowledge and Data Driven Techniques for Time Series Forecasting","created_at":"2022-02-01T02:50:02.550-08:00","url":"https://www.academia.edu/70207307/DeepEX_Bridging_the_Gap_Between_Knowledge_and_Data_Driven_Techniques_for_Time_Series_Forecasting?f_ri=422","dom_id":"work_70207307","summary":"Artificial Intelligence (AI) can roughly be categorized into two streams, knowledge driven and data driven both of which have their own advantages. Incorporating knowledge into Deep Neural Networks (DNN), that are purely data driven, can potentially improve the overall performance of the system. This paper presents such a fusion scheme, DeepEX, that combines these seemingly parallel streams of AI, for multi-step time-series forecasting problems. DeepEX achieves this in a way that merges best of both worlds along with a reduction in the amount of data required to train these models. This direction has been explored in the past for single step forecasting by opting for a residual learning scheme. We analyze the shortcomings of this simple residual learning scheme and enable DeepEX to not only avoid these shortcomings but also scale to multi-step prediction problems. DeepEX is tested on two commonly used time series forecasting datasets, CIF2016 and NN5, where it achieves competitive r...","downloadable_attachments":[{"id":80047697,"asset_id":70207307,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":83394649,"first_name":"Sheraz","last_name":"Ahmed","domain_name":"independent","page_name":"SherazAhmed45","display_name":"Sheraz Ahmed","profile_url":"https://independent.academia.edu/SherazAhmed45?f_ri=422","photo":"/images/s65_no_pic.png"}],"research_interests":[{"id":422,"name":"Computer Science","url":"https://www.academia.edu/Documents/in/Computer_Science?f_ri=422","nofollow":true}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_66440764" data-work_id="66440764" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/66440764/Techniques_for_Resolving_Incomplete_Systems_in_K_Systems_Analysis">Techniques for Resolving Incomplete Systems in K-Systems Analysis</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">K-systems analysis is a generalization of reconstructability analysis (RA), where any general, complete multivariate system (g-system) can be transformed into an isomorphic, dimensionless system (a K-system) that has sufficient properties... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_66440764" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">K-systems analysis is a generalization of reconstructability analysis (RA), where any general, complete multivariate system (g-system) can be transformed into an isomorphic, dimensionless system (a K-system) that has sufficient properties to be analyzed using probabilistic RA algorithms. In particular, a g-system consists o f a set of states formed from a complete combination of the variables assigned specific values from a finite set of possible values and an associated system function value. The gsystem must be complete in that all possible states must have an associated system function value. K-systems analysis has been applied to a variety of systems, but many real-world systems consist o f data that is incomplete. Impediments in real-world systems have been previously identified as state contradictions, data scattering and missing data [JONE 85d]. The problem o f state contradictions has been adequately addressed, but while techniques for the resolution of data scattering and m...</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/66440764" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="cb121b5b02c9e171e335a78230248dd6" rel="nofollow" data-download="{"attachment_id":77630852,"asset_id":66440764,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/77630852/download_file?st=MTczODMyMzE5MSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="20673201" href="https://independent.academia.edu/GaryAsmus">Gary Asmus</a><script data-card-contents-for-user="20673201" type="text/json">{"id":20673201,"first_name":"Gary","last_name":"Asmus","domain_name":"independent","page_name":"GaryAsmus","display_name":"Gary Asmus","profile_url":"https://independent.academia.edu/GaryAsmus?f_ri=422","photo":"https://0.academia-photos.com/20673201/5719484/64112302/s65_gary.asmus.jpg"}</script></span></span></li><li class="js-paper-rank-work_66440764 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="66440764"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 66440764, container: ".js-paper-rank-work_66440764", }); });</script></li><li class="js-percentile-work_66440764 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 66440764; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_66440764"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_66440764 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="66440764"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 66440764; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=66440764]").text(description); $(".js-view-count-work_66440764").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_66440764").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="66440764"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i></div><span class="InlineList-item-text u-textTruncate u-pl6x"><a class="InlineList-item-text" data-has-card-for-ri="422" rel="nofollow" href="https://www.academia.edu/Documents/in/Computer_Science">Computer Science</a><script data-card-contents-for-ri="422" type="text/json">{"id":422,"name":"Computer Science","url":"https://www.academia.edu/Documents/in/Computer_Science?f_ri=422","nofollow":true}</script></span></li><script>(function(){ if (false) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=66440764]'), work: {"id":66440764,"title":"Techniques for Resolving Incomplete Systems in K-Systems Analysis","created_at":"2021-12-29T13:43:56.787-08:00","url":"https://www.academia.edu/66440764/Techniques_for_Resolving_Incomplete_Systems_in_K_Systems_Analysis?f_ri=422","dom_id":"work_66440764","summary":"K-systems analysis is a generalization of reconstructability analysis (RA), where any general, complete multivariate system (g-system) can be transformed into an isomorphic, dimensionless system (a K-system) that has sufficient properties to be analyzed using probabilistic RA algorithms. In particular, a g-system consists o f a set of states formed from a complete combination of the variables assigned specific values from a finite set of possible values and an associated system function value. The gsystem must be complete in that all possible states must have an associated system function value. K-systems analysis has been applied to a variety of systems, but many real-world systems consist o f data that is incomplete. Impediments in real-world systems have been previously identified as state contradictions, data scattering and missing data [JONE 85d]. The problem o f state contradictions has been adequately addressed, but while techniques for the resolution of data scattering and m...","downloadable_attachments":[{"id":77630852,"asset_id":66440764,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":20673201,"first_name":"Gary","last_name":"Asmus","domain_name":"independent","page_name":"GaryAsmus","display_name":"Gary Asmus","profile_url":"https://independent.academia.edu/GaryAsmus?f_ri=422","photo":"https://0.academia-photos.com/20673201/5719484/64112302/s65_gary.asmus.jpg"}],"research_interests":[{"id":422,"name":"Computer Science","url":"https://www.academia.edu/Documents/in/Computer_Science?f_ri=422","nofollow":true}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_66705313" data-work_id="66705313" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/66705313/Performance_Portability_of_Parallel_Programs_on_Networks_of_Workstations">Performance Portability of Parallel Programs on Networks of Workstations</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">Combining easy-to-use parallelism, portability and ef-ciency is a very hard task when traditional programming models are applied to networks of workstations. Even if standard message-passing libraries allow to write code that runs on... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_66705313" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Combining easy-to-use parallelism, portability and ef-ciency is a very hard task when traditional programming models are applied to networks of workstations. Even if standard message-passing libraries allow to write code that runs on various machines (code portabil-ity), the parallel application risks to be ineecient on any other platform for which a diierent domain decomposition would be the best. If we want a parallel application to be portable with eeciency (performance portability) on heterogeneous and nondedicated distributed platforms, the best domain decomposition and communication pattern cannot be chosen during implementation. In this paper, we describe the new architecture of the Dame system that hides to the programmer many details of the actual computing platform, and makes programs self-adaptable to the platform without additional eeorts to the parallelization itself.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/66705313" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="0c2f653b33404d69406d2e9a35e4fab3" rel="nofollow" data-download="{"attachment_id":77794100,"asset_id":66705313,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/77794100/download_file?st=MTczODMyMzE5MSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="40055901" href="https://uniroma2.academia.edu/SalvatoreTucci">Salvatore Tucci</a><script data-card-contents-for-user="40055901" type="text/json">{"id":40055901,"first_name":"Salvatore","last_name":"Tucci","domain_name":"uniroma2","page_name":"SalvatoreTucci","display_name":"Salvatore Tucci","profile_url":"https://uniroma2.academia.edu/SalvatoreTucci?f_ri=422","photo":"https://0.academia-photos.com/40055901/13394446/14617624/s65_salvatore.tucci.jpg"}</script></span></span></li><li class="js-paper-rank-work_66705313 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="66705313"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 66705313, container: ".js-paper-rank-work_66705313", }); });</script></li><li class="js-percentile-work_66705313 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 66705313; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_66705313"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_66705313 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="66705313"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 66705313; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=66705313]").text(description); $(".js-view-count-work_66705313").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_66705313").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="66705313"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i></div><span class="InlineList-item-text u-textTruncate u-pl6x"><a class="InlineList-item-text" data-has-card-for-ri="422" rel="nofollow" href="https://www.academia.edu/Documents/in/Computer_Science">Computer Science</a><script data-card-contents-for-ri="422" type="text/json">{"id":422,"name":"Computer Science","url":"https://www.academia.edu/Documents/in/Computer_Science?f_ri=422","nofollow":true}</script></span></li><script>(function(){ if (false) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=66705313]'), work: {"id":66705313,"title":"Performance Portability of Parallel Programs on Networks of Workstations","created_at":"2021-12-31T05:30:20.926-08:00","url":"https://www.academia.edu/66705313/Performance_Portability_of_Parallel_Programs_on_Networks_of_Workstations?f_ri=422","dom_id":"work_66705313","summary":"Combining easy-to-use parallelism, portability and ef-ciency is a very hard task when traditional programming models are applied to networks of workstations. Even if standard message-passing libraries allow to write code that runs on various machines (code portabil-ity), the parallel application risks to be ineecient on any other platform for which a diierent domain decomposition would be the best. If we want a parallel application to be portable with eeciency (performance portability) on heterogeneous and nondedicated distributed platforms, the best domain decomposition and communication pattern cannot be chosen during implementation. In this paper, we describe the new architecture of the Dame system that hides to the programmer many details of the actual computing platform, and makes programs self-adaptable to the platform without additional eeorts to the parallelization itself.","downloadable_attachments":[{"id":77794100,"asset_id":66705313,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":40055901,"first_name":"Salvatore","last_name":"Tucci","domain_name":"uniroma2","page_name":"SalvatoreTucci","display_name":"Salvatore Tucci","profile_url":"https://uniroma2.academia.edu/SalvatoreTucci?f_ri=422","photo":"https://0.academia-photos.com/40055901/13394446/14617624/s65_salvatore.tucci.jpg"}],"research_interests":[{"id":422,"name":"Computer Science","url":"https://www.academia.edu/Documents/in/Computer_Science?f_ri=422","nofollow":true}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_68699956" data-work_id="68699956" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/68699956/QualiBuild_Train_the_Trainer_Lessons_Learned_from_the_Development_of_a_Program_for_Training_Trainers_of_Construction">QualiBuild Train the Trainer Lessons Learned from the Development of a Program for Training Trainers of Construction</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">In response to recent directives to promote quality energy efficient buildings throughout Europe, the EU funded Build UP Skills Ireland (BUSI) project launched a national skills gap analysis of the construction sector in 2011. Generally,... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_68699956" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">In response to recent directives to promote quality energy efficient buildings throughout Europe, the EU funded Build UP Skills Ireland (BUSI) project launched a national skills gap analysis of the construction sector in 2011. Generally, the gap that was identified was one of knowledge rather than skills. However, this knowledge is fundamental for the successful implementation of low energy buildings. The BUSI analysis also found that the majority of trainers of construction related crafts lacked the experience and knowledge on the implementation of energy efficient buildings. Consequently, the follow on Build UP Skills QualiBuild project focussed on the development and delivery of a Train the Trainer programme which would address this. The QualiBuild Train the Trainer pilot was designed with a focus on active learning, incorporating a flipped learning model for the delivery of a blended learning programme. This was facilitated by the development of learner manuals for each of the p...</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/68699956" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="ba314bb16340a62347d1a490ab8d5b12" rel="nofollow" data-download="{"attachment_id":79087603,"asset_id":68699956,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/79087603/download_file?st=MTczODMyMzE5MSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="28590236" href="https://independent.academia.edu/ShaunFerns">Shaun Ferns</a><script data-card-contents-for-user="28590236" type="text/json">{"id":28590236,"first_name":"Shaun","last_name":"Ferns","domain_name":"independent","page_name":"ShaunFerns","display_name":"Shaun Ferns","profile_url":"https://independent.academia.edu/ShaunFerns?f_ri=422","photo":"https://0.academia-photos.com/28590236/16154578/16596903/s65_shaun.ferns.jpg"}</script></span></span></li><li class="js-paper-rank-work_68699956 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="68699956"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 68699956, container: ".js-paper-rank-work_68699956", }); });</script></li><li class="js-percentile-work_68699956 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 68699956; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_68699956"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_68699956 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="68699956"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 68699956; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=68699956]").text(description); $(".js-view-count-work_68699956").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_68699956").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="68699956"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i></div><span class="InlineList-item-text u-textTruncate u-pl6x"><a class="InlineList-item-text" data-has-card-for-ri="422" rel="nofollow" href="https://www.academia.edu/Documents/in/Computer_Science">Computer Science</a><script data-card-contents-for-ri="422" type="text/json">{"id":422,"name":"Computer Science","url":"https://www.academia.edu/Documents/in/Computer_Science?f_ri=422","nofollow":true}</script></span></li><script>(function(){ if (false) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=68699956]'), work: {"id":68699956,"title":"QualiBuild Train the Trainer Lessons Learned from the Development of a Program for Training Trainers of Construction","created_at":"2022-01-19T09:59:12.067-08:00","url":"https://www.academia.edu/68699956/QualiBuild_Train_the_Trainer_Lessons_Learned_from_the_Development_of_a_Program_for_Training_Trainers_of_Construction?f_ri=422","dom_id":"work_68699956","summary":"In response to recent directives to promote quality energy efficient buildings throughout Europe, the EU funded Build UP Skills Ireland (BUSI) project launched a national skills gap analysis of the construction sector in 2011. Generally, the gap that was identified was one of knowledge rather than skills. However, this knowledge is fundamental for the successful implementation of low energy buildings. The BUSI analysis also found that the majority of trainers of construction related crafts lacked the experience and knowledge on the implementation of energy efficient buildings. Consequently, the follow on Build UP Skills QualiBuild project focussed on the development and delivery of a Train the Trainer programme which would address this. The QualiBuild Train the Trainer pilot was designed with a focus on active learning, incorporating a flipped learning model for the delivery of a blended learning programme. This was facilitated by the development of learner manuals for each of the p...","downloadable_attachments":[{"id":79087603,"asset_id":68699956,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":28590236,"first_name":"Shaun","last_name":"Ferns","domain_name":"independent","page_name":"ShaunFerns","display_name":"Shaun Ferns","profile_url":"https://independent.academia.edu/ShaunFerns?f_ri=422","photo":"https://0.academia-photos.com/28590236/16154578/16596903/s65_shaun.ferns.jpg"}],"research_interests":[{"id":422,"name":"Computer Science","url":"https://www.academia.edu/Documents/in/Computer_Science?f_ri=422","nofollow":true}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_64612640" data-work_id="64612640" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/64612640/Autonomous_Planetary_Landing_via_Deep_Reinforcement_Learning_and_Transfer_Learning">Autonomous Planetary Landing via Deep Reinforcement Learning and Transfer Learning</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">The aim of this work is to develop an application for autonomous landing. We exploit the properties of Deep Reinforcement Learning and Transfer Learning, in order to tackle the problem of planetary landing on unknown or barely-known... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_64612640" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">The aim of this work is to develop an application for autonomous landing. We exploit the properties of Deep Reinforcement Learning and Transfer Learning, in order to tackle the problem of planetary landing on unknown or barely-known extra-terrestrial environments by learning good-performing policies, which are transferable from the training environment to other, new environments, without losing optimality. To this end, we model a real-physics simulator, by means of the Bullet/PyBullet library, composed by a lander, defined through the standard ROS/URDF framework and realistic 3D terrain models, for which we adapt official NASA 3D meshes, reconstructed from the data retrieved during missions. Where such model were not available, we reconstruct the terrain from mission imagery - generally SAR imagery. In this setup, we train a Deep Reinforcement Learning model - using DDPG - to autonomous land on the lunar environment. Moreover, we perform transfer learning on the Mars and Titan envir...</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/64612640" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="19c16f364d3c63a41265226d58d56286" rel="nofollow" data-download="{"attachment_id":76568006,"asset_id":64612640,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/76568006/download_file?st=MTczODMyMzE5MSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="1053412" href="https://jpl-nasa.academia.edu/ShreyanshDaftry">Shreyansh Daftry</a><script data-card-contents-for-user="1053412" type="text/json">{"id":1053412,"first_name":"Shreyansh","last_name":"Daftry","domain_name":"jpl-nasa","page_name":"ShreyanshDaftry","display_name":"Shreyansh Daftry","profile_url":"https://jpl-nasa.academia.edu/ShreyanshDaftry?f_ri=422","photo":"https://0.academia-photos.com/1053412/363221/30429529/s65_shreyansh.daftry.jpg"}</script></span></span></li><li class="js-paper-rank-work_64612640 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="64612640"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 64612640, container: ".js-paper-rank-work_64612640", }); });</script></li><li class="js-percentile-work_64612640 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 64612640; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_64612640"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_64612640 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="64612640"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 64612640; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=64612640]").text(description); $(".js-view-count-work_64612640").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_64612640").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="64612640"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i></div><span class="InlineList-item-text u-textTruncate u-pl6x"><a class="InlineList-item-text" data-has-card-for-ri="422" rel="nofollow" href="https://www.academia.edu/Documents/in/Computer_Science">Computer Science</a><script data-card-contents-for-ri="422" type="text/json">{"id":422,"name":"Computer Science","url":"https://www.academia.edu/Documents/in/Computer_Science?f_ri=422","nofollow":true}</script></span></li><script>(function(){ if (false) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=64612640]'), work: {"id":64612640,"title":"Autonomous Planetary Landing via Deep Reinforcement Learning and Transfer Learning","created_at":"2021-12-16T11:46:33.787-08:00","url":"https://www.academia.edu/64612640/Autonomous_Planetary_Landing_via_Deep_Reinforcement_Learning_and_Transfer_Learning?f_ri=422","dom_id":"work_64612640","summary":"The aim of this work is to develop an application for autonomous landing. We exploit the properties of Deep Reinforcement Learning and Transfer Learning, in order to tackle the problem of planetary landing on unknown or barely-known extra-terrestrial environments by learning good-performing policies, which are transferable from the training environment to other, new environments, without losing optimality. To this end, we model a real-physics simulator, by means of the Bullet/PyBullet library, composed by a lander, defined through the standard ROS/URDF framework and realistic 3D terrain models, for which we adapt official NASA 3D meshes, reconstructed from the data retrieved during missions. Where such model were not available, we reconstruct the terrain from mission imagery - generally SAR imagery. In this setup, we train a Deep Reinforcement Learning model - using DDPG - to autonomous land on the lunar environment. Moreover, we perform transfer learning on the Mars and Titan envir...","downloadable_attachments":[{"id":76568006,"asset_id":64612640,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":1053412,"first_name":"Shreyansh","last_name":"Daftry","domain_name":"jpl-nasa","page_name":"ShreyanshDaftry","display_name":"Shreyansh Daftry","profile_url":"https://jpl-nasa.academia.edu/ShreyanshDaftry?f_ri=422","photo":"https://0.academia-photos.com/1053412/363221/30429529/s65_shreyansh.daftry.jpg"}],"research_interests":[{"id":422,"name":"Computer Science","url":"https://www.academia.edu/Documents/in/Computer_Science?f_ri=422","nofollow":true}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_71880196" data-work_id="71880196" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/71880196/Basic_Issues_in_the_Application_of_Virtual_Reality_for_the_Assessment_and_Rehabilitation_of_Cognitive_Impairments_and_Functional_Disabilities">Basic Issues in the Application of Virtual Reality for the Assessment and Rehabilitation of Cognitive Impairments and Functional Disabilities</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">... complex, dynamic stimulus presentations and the capacity to record and measure all responses precisely within the virtual environ-ment. ... presented, followed by a description of our ongoing work developing a VR mental rotation and... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_71880196" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">... complex, dynamic stimulus presentations and the capacity to record and measure all responses precisely within the virtual environ-ment. ... presented, followed by a description of our ongoing work developing a VR mental rotation and spatial skills cognitive assessment and ...</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/71880196" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="7b9733ffbd28e27d4aab0a69df59e3c1" rel="nofollow" data-download="{"attachment_id":92449132,"asset_id":71880196,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/92449132/download_file?st=MTczODMyMzE5MSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="674319" href="https://usc.academia.edu/SkipRizzo">Skip Rizzo</a><script data-card-contents-for-user="674319" type="text/json">{"id":674319,"first_name":"Skip","last_name":"Rizzo","domain_name":"usc","page_name":"SkipRizzo","display_name":"Skip Rizzo","profile_url":"https://usc.academia.edu/SkipRizzo?f_ri=422","photo":"/images/s65_no_pic.png"}</script></span></span></li><li class="js-paper-rank-work_71880196 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="71880196"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 71880196, container: ".js-paper-rank-work_71880196", }); });</script></li><li class="js-percentile-work_71880196 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 71880196; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_71880196"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_71880196 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="71880196"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 71880196; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=71880196]").text(description); $(".js-view-count-work_71880196").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_71880196").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="71880196"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">9</a>  </div><span class="InlineList-item-text u-textTruncate u-pl9x"><a class="InlineList-item-text" data-has-card-for-ri="37" rel="nofollow" href="https://www.academia.edu/Documents/in/Information_Systems">Information Systems</a>, <script data-card-contents-for-ri="37" type="text/json">{"id":37,"name":"Information Systems","url":"https://www.academia.edu/Documents/in/Information_Systems?f_ri=422","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="221" rel="nofollow" href="https://www.academia.edu/Documents/in/Psychology">Psychology</a>, <script data-card-contents-for-ri="221" type="text/json">{"id":221,"name":"Psychology","url":"https://www.academia.edu/Documents/in/Psychology?f_ri=422","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="237" rel="nofollow" href="https://www.academia.edu/Documents/in/Cognitive_Science">Cognitive Science</a>, <script data-card-contents-for-ri="237" type="text/json">{"id":237,"name":"Cognitive Science","url":"https://www.academia.edu/Documents/in/Cognitive_Science?f_ri=422","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="422" rel="nofollow" href="https://www.academia.edu/Documents/in/Computer_Science">Computer Science</a><script data-card-contents-for-ri="422" type="text/json">{"id":422,"name":"Computer Science","url":"https://www.academia.edu/Documents/in/Computer_Science?f_ri=422","nofollow":true}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=71880196]'), work: {"id":71880196,"title":"Basic Issues in the Application of Virtual Reality for the Assessment and Rehabilitation of Cognitive Impairments and Functional Disabilities","created_at":"2022-02-19T14:35:34.986-08:00","url":"https://www.academia.edu/71880196/Basic_Issues_in_the_Application_of_Virtual_Reality_for_the_Assessment_and_Rehabilitation_of_Cognitive_Impairments_and_Functional_Disabilities?f_ri=422","dom_id":"work_71880196","summary":"... complex, dynamic stimulus presentations and the capacity to record and measure all responses precisely within the virtual environ-ment. ... presented, followed by a description of our ongoing work developing a VR mental rotation and spatial skills cognitive assessment and ...","downloadable_attachments":[{"id":92449132,"asset_id":71880196,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":674319,"first_name":"Skip","last_name":"Rizzo","domain_name":"usc","page_name":"SkipRizzo","display_name":"Skip Rizzo","profile_url":"https://usc.academia.edu/SkipRizzo?f_ri=422","photo":"/images/s65_no_pic.png"}],"research_interests":[{"id":37,"name":"Information Systems","url":"https://www.academia.edu/Documents/in/Information_Systems?f_ri=422","nofollow":true},{"id":221,"name":"Psychology","url":"https://www.academia.edu/Documents/in/Psychology?f_ri=422","nofollow":true},{"id":237,"name":"Cognitive Science","url":"https://www.academia.edu/Documents/in/Cognitive_Science?f_ri=422","nofollow":true},{"id":422,"name":"Computer Science","url":"https://www.academia.edu/Documents/in/Computer_Science?f_ri=422","nofollow":true},{"id":1580,"name":"Cyberpsychology","url":"https://www.academia.edu/Documents/in/Cyberpsychology?f_ri=422"},{"id":50642,"name":"Virtual Reality","url":"https://www.academia.edu/Documents/in/Virtual_Reality?f_ri=422"},{"id":341121,"name":"Cognitive impairment","url":"https://www.academia.edu/Documents/in/Cognitive_impairment?f_ri=422"},{"id":855798,"name":"Cyberpsychology \u0026 Behavior","url":"https://www.academia.edu/Documents/in/Cyberpsychology_and_Behavior?f_ri=422"},{"id":1826000,"name":"Functional Disability","url":"https://www.academia.edu/Documents/in/Functional_Disability?f_ri=422"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_66220487" data-work_id="66220487" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/66220487/Authentic_Literacy_Experiences_in_the_Secondary_Classroom">Authentic Literacy Experiences in the Secondary Classroom</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">This article is a resource for educators looking to offer personal instruction and literacy opportunities to secondary students. It provides a thoughtful and in-depth look at the workshop model in a high school setting. It offers methods... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_66220487" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">This article is a resource for educators looking to offer personal instruction and literacy opportunities to secondary students. It provides a thoughtful and in-depth look at the workshop model in a high school setting. It offers methods and suggestions for setting up the workshop model to methods and strategies for diverse learners. The information will provide teachers with approaches to authentic and differentiated learning opportunities for all students in any secondary classroom. AUTHOR BIOGRAPHY Valerie Brunow is a high school English teacher at Millbrook High School in Millbrook, New York. She is a graduate of Manhattanville College and holds certifications and degrees in Secondary English Education and Secondary Literacy. She currently teaches ninth grade and electives for grades nine through twelve. In her career she has taught students in grades six through twelve, including; Regents, Honors, electives and small Literacy instruction groups. She has worked as a professional...</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/66220487" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="d67960c7324d671e79dcff2ba4027071" rel="nofollow" data-download="{"attachment_id":77497591,"asset_id":66220487,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/77497591/download_file?st=MTczODMyMzE5MSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="132305033" href="https://independent.academia.edu/BrunowValerie">Valerie Brunow</a><script data-card-contents-for-user="132305033" type="text/json">{"id":132305033,"first_name":"Valerie","last_name":"Brunow","domain_name":"independent","page_name":"BrunowValerie","display_name":"Valerie Brunow","profile_url":"https://independent.academia.edu/BrunowValerie?f_ri=422","photo":"https://0.academia-photos.com/132305033/78975708/67534933/s65_valerie.brunow.png"}</script></span></span></li><li class="js-paper-rank-work_66220487 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="66220487"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 66220487, container: ".js-paper-rank-work_66220487", }); });</script></li><li class="js-percentile-work_66220487 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 66220487; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_66220487"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_66220487 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="66220487"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 66220487; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=66220487]").text(description); $(".js-view-count-work_66220487").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_66220487").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="66220487"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i></div><span class="InlineList-item-text u-textTruncate u-pl6x"><a class="InlineList-item-text" data-has-card-for-ri="422" rel="nofollow" href="https://www.academia.edu/Documents/in/Computer_Science">Computer Science</a><script data-card-contents-for-ri="422" type="text/json">{"id":422,"name":"Computer Science","url":"https://www.academia.edu/Documents/in/Computer_Science?f_ri=422","nofollow":true}</script></span></li><script>(function(){ if (false) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=66220487]'), work: {"id":66220487,"title":"Authentic Literacy Experiences in the Secondary Classroom","created_at":"2021-12-28T08:20:00.111-08:00","url":"https://www.academia.edu/66220487/Authentic_Literacy_Experiences_in_the_Secondary_Classroom?f_ri=422","dom_id":"work_66220487","summary":"This article is a resource for educators looking to offer personal instruction and literacy opportunities to secondary students. It provides a thoughtful and in-depth look at the workshop model in a high school setting. It offers methods and suggestions for setting up the workshop model to methods and strategies for diverse learners. The information will provide teachers with approaches to authentic and differentiated learning opportunities for all students in any secondary classroom. AUTHOR BIOGRAPHY Valerie Brunow is a high school English teacher at Millbrook High School in Millbrook, New York. She is a graduate of Manhattanville College and holds certifications and degrees in Secondary English Education and Secondary Literacy. She currently teaches ninth grade and electives for grades nine through twelve. In her career she has taught students in grades six through twelve, including; Regents, Honors, electives and small Literacy instruction groups. She has worked as a professional...","downloadable_attachments":[{"id":77497591,"asset_id":66220487,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":132305033,"first_name":"Valerie","last_name":"Brunow","domain_name":"independent","page_name":"BrunowValerie","display_name":"Valerie Brunow","profile_url":"https://independent.academia.edu/BrunowValerie?f_ri=422","photo":"https://0.academia-photos.com/132305033/78975708/67534933/s65_valerie.brunow.png"}],"research_interests":[{"id":422,"name":"Computer Science","url":"https://www.academia.edu/Documents/in/Computer_Science?f_ri=422","nofollow":true}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_63927187" data-work_id="63927187" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/63927187/Advanced_compiler_design_and_implementation">Advanced compiler design and implementation</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">Scalar replacement of array references Data-cache optimizations r 1 Procedure integration Tail-call optimization, including tail-recursion elimination Scalar replacement of aggregates Sparse conditional constant propagation... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_63927187" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Scalar replacement of array references Data-cache optimizations r 1 Procedure integration Tail-call optimization, including tail-recursion elimination Scalar replacement of aggregates Sparse conditional constant propagation Interprocedural constant propagation Procedure ...</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/63927187" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="b5ed8bbd7c9ff7461c4f3d55b5b62ec4" rel="nofollow" data-download="{"attachment_id":76187425,"asset_id":63927187,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/76187425/download_file?st=MTczODMyMzE5MSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="194082819" href="https://independent.academia.edu/MohamedAmrIbrahim">Mohamed Amr Ibrahim</a><script data-card-contents-for-user="194082819" type="text/json">{"id":194082819,"first_name":"Mohamed Amr","last_name":"Ibrahim","domain_name":"independent","page_name":"MohamedAmrIbrahim","display_name":"Mohamed Amr Ibrahim","profile_url":"https://independent.academia.edu/MohamedAmrIbrahim?f_ri=422","photo":"https://0.academia-photos.com/194082819/56629757/44836599/s65_mohamed_amr.ibrahim.png"}</script></span></span></li><li class="js-paper-rank-work_63927187 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="63927187"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 63927187, container: ".js-paper-rank-work_63927187", }); });</script></li><li class="js-percentile-work_63927187 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 63927187; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_63927187"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_63927187 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="63927187"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 63927187; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=63927187]").text(description); $(".js-view-count-work_63927187").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_63927187").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="63927187"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">2</a>  </div><span class="InlineList-item-text u-textTruncate u-pl9x"><a class="InlineList-item-text" data-has-card-for-ri="422" rel="nofollow" href="https://www.academia.edu/Documents/in/Computer_Science">Computer Science</a>, <script data-card-contents-for-ri="422" type="text/json">{"id":422,"name":"Computer Science","url":"https://www.academia.edu/Documents/in/Computer_Science?f_ri=422","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="231369" rel="nofollow" href="https://www.academia.edu/Documents/in/Compilers_and_Programming_Languages">Compilers and Programming Languages</a><script data-card-contents-for-ri="231369" type="text/json">{"id":231369,"name":"Compilers and Programming Languages","url":"https://www.academia.edu/Documents/in/Compilers_and_Programming_Languages?f_ri=422","nofollow":true}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=63927187]'), work: {"id":63927187,"title":"Advanced compiler design and implementation","created_at":"2021-12-12T13:58:09.339-08:00","url":"https://www.academia.edu/63927187/Advanced_compiler_design_and_implementation?f_ri=422","dom_id":"work_63927187","summary":"Scalar replacement of array references Data-cache optimizations r 1 Procedure integration Tail-call optimization, including tail-recursion elimination Scalar replacement of aggregates Sparse conditional constant propagation Interprocedural constant propagation Procedure ...","downloadable_attachments":[{"id":76187425,"asset_id":63927187,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":194082819,"first_name":"Mohamed Amr","last_name":"Ibrahim","domain_name":"independent","page_name":"MohamedAmrIbrahim","display_name":"Mohamed Amr Ibrahim","profile_url":"https://independent.academia.edu/MohamedAmrIbrahim?f_ri=422","photo":"https://0.academia-photos.com/194082819/56629757/44836599/s65_mohamed_amr.ibrahim.png"}],"research_interests":[{"id":422,"name":"Computer Science","url":"https://www.academia.edu/Documents/in/Computer_Science?f_ri=422","nofollow":true},{"id":231369,"name":"Compilers and Programming Languages","url":"https://www.academia.edu/Documents/in/Compilers_and_Programming_Languages?f_ri=422","nofollow":true}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_77942374" data-work_id="77942374" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/77942374/Using_Myers_Briggs_Type_Indicator_Mbti_for_Assessment_Success_of_Student_Groups_in_Project_Based_Learning">Using Myers-Briggs Type Indicator (Mbti) for Assessment Success of Student Groups in Project Based Learning</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">One of the most used teaching methodologies nowadays is project based learning: organizing students in small groups and provide them with a real-life project to manage with. Group work on a real-life project is a very interesting teaching... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_77942374" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">One of the most used teaching methodologies nowadays is project based learning: organizing students in small groups and provide them with a real-life project to manage with. Group work on a real-life project is a very interesting teaching instrument since groups act as project teams and the project ideas are close to the student field of professional interest. In addition to the technical skills, there are other aspects influencing the result under this paradigm: management and personality. The students should work in a collaborative way in order to achieve the best outcomes. This methodology is very effective for learning and a high student motivation and satisfaction could be reached, but usually conflicts between group members arise, resulting in poor results. The source of conflicts could often be found in the different personalities among group members. The Myers-Briggs Type Indicator (MBTI) has become one of the most widely-used psychometric instruments for assessing personality characteristics regarding work environment. It postulates that four different behaviour stiles give rise to four separate but interrelated ranges of personal preferences or natural tendencies in a given situation. The MBTI suggests that every personality type has a behaviour that could be used to explain some kind of conflicts. Knowing more about the personality of the team members and how different personalities compliment or conflict with each other can be useful information for building and leading a students' group. The results of this study have implications for assessment the success of student groups working in collaborative projects.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/77942374" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="19b87d5833c1a0b4e35119401a1dad77" rel="nofollow" data-download="{"attachment_id":85161694,"asset_id":77942374,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/85161694/download_file?st=MTczODMyMzE5MSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="74813419" href="https://independent.academia.edu/VicenteRodr%C3%ADguezMontequ%C3%ADn">Vicente Rodríguez Montequín</a><script data-card-contents-for-user="74813419" type="text/json">{"id":74813419,"first_name":"Vicente Rodríguez","last_name":"Montequín","domain_name":"independent","page_name":"VicenteRodríguezMontequín","display_name":"Vicente Rodríguez Montequín","profile_url":"https://independent.academia.edu/VicenteRodr%C3%ADguezMontequ%C3%ADn?f_ri=422","photo":"/images/s65_no_pic.png"}</script></span></span></li><li class="js-paper-rank-work_77942374 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="77942374"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 77942374, container: ".js-paper-rank-work_77942374", }); });</script></li><li class="js-percentile-work_77942374 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 77942374; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_77942374"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_77942374 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="77942374"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 77942374; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=77942374]").text(description); $(".js-view-count-work_77942374").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_77942374").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="77942374"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">4</a>  </div><span class="InlineList-item-text u-textTruncate u-pl9x"><a class="InlineList-item-text" data-has-card-for-ri="221" rel="nofollow" href="https://www.academia.edu/Documents/in/Psychology">Psychology</a>, <script data-card-contents-for-ri="221" type="text/json">{"id":221,"name":"Psychology","url":"https://www.academia.edu/Documents/in/Psychology?f_ri=422","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="422" rel="nofollow" href="https://www.academia.edu/Documents/in/Computer_Science">Computer Science</a>, <script data-card-contents-for-ri="422" type="text/json">{"id":422,"name":"Computer Science","url":"https://www.academia.edu/Documents/in/Computer_Science?f_ri=422","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="115430" rel="nofollow" href="https://www.academia.edu/Documents/in/Myers_Briggs_Type_Indicator">Myers Briggs Type Indicator</a>, <script data-card-contents-for-ri="115430" type="text/json">{"id":115430,"name":"Myers Briggs Type Indicator","url":"https://www.academia.edu/Documents/in/Myers_Briggs_Type_Indicator?f_ri=422","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="121381" rel="nofollow" href="https://www.academia.edu/Documents/in/Project_Based_Learning">Project Based Learning</a><script data-card-contents-for-ri="121381" type="text/json">{"id":121381,"name":"Project Based Learning","url":"https://www.academia.edu/Documents/in/Project_Based_Learning?f_ri=422","nofollow":true}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=77942374]'), work: {"id":77942374,"title":"Using Myers-Briggs Type Indicator (Mbti) for Assessment Success of Student Groups in Project Based Learning","created_at":"2022-04-29T02:59:28.973-07:00","url":"https://www.academia.edu/77942374/Using_Myers_Briggs_Type_Indicator_Mbti_for_Assessment_Success_of_Student_Groups_in_Project_Based_Learning?f_ri=422","dom_id":"work_77942374","summary":"One of the most used teaching methodologies nowadays is project based learning: organizing students in small groups and provide them with a real-life project to manage with. Group work on a real-life project is a very interesting teaching instrument since groups act as project teams and the project ideas are close to the student field of professional interest. In addition to the technical skills, there are other aspects influencing the result under this paradigm: management and personality. The students should work in a collaborative way in order to achieve the best outcomes. This methodology is very effective for learning and a high student motivation and satisfaction could be reached, but usually conflicts between group members arise, resulting in poor results. The source of conflicts could often be found in the different personalities among group members. The Myers-Briggs Type Indicator (MBTI) has become one of the most widely-used psychometric instruments for assessing personality characteristics regarding work environment. It postulates that four different behaviour stiles give rise to four separate but interrelated ranges of personal preferences or natural tendencies in a given situation. The MBTI suggests that every personality type has a behaviour that could be used to explain some kind of conflicts. Knowing more about the personality of the team members and how different personalities compliment or conflict with each other can be useful information for building and leading a students' group. The results of this study have implications for assessment the success of student groups working in collaborative projects.","downloadable_attachments":[{"id":85161694,"asset_id":77942374,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":74813419,"first_name":"Vicente Rodríguez","last_name":"Montequín","domain_name":"independent","page_name":"VicenteRodríguezMontequín","display_name":"Vicente Rodríguez Montequín","profile_url":"https://independent.academia.edu/VicenteRodr%C3%ADguezMontequ%C3%ADn?f_ri=422","photo":"/images/s65_no_pic.png"}],"research_interests":[{"id":221,"name":"Psychology","url":"https://www.academia.edu/Documents/in/Psychology?f_ri=422","nofollow":true},{"id":422,"name":"Computer Science","url":"https://www.academia.edu/Documents/in/Computer_Science?f_ri=422","nofollow":true},{"id":115430,"name":"Myers Briggs Type Indicator","url":"https://www.academia.edu/Documents/in/Myers_Briggs_Type_Indicator?f_ri=422","nofollow":true},{"id":121381,"name":"Project Based Learning","url":"https://www.academia.edu/Documents/in/Project_Based_Learning?f_ri=422","nofollow":true}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_73697967" data-work_id="73697967" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/73697967/Understanding_Metadata_What_is_Metadata_and_What_is_it_For">Understanding Metadata: What is Metadata, and What is it For?</a></div></div><div class="u-pb4x u-mt3x"></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/73697967" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="22fe37a8156a699429873ac82eb8b958" rel="nofollow" data-download="{"attachment_id":82117494,"asset_id":73697967,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/82117494/download_file?st=MTczODMyMzE5MSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="26564974" href="https://usu.academia.edu/LizWoolcott">Liz Woolcott</a><script data-card-contents-for-user="26564974" type="text/json">{"id":26564974,"first_name":"Liz","last_name":"Woolcott","domain_name":"usu","page_name":"LizWoolcott","display_name":"Liz Woolcott","profile_url":"https://usu.academia.edu/LizWoolcott?f_ri=422","photo":"https://0.academia-photos.com/26564974/7390909/8308510/s65_liz.woolcott.jpg"}</script></span></span></li><li class="js-paper-rank-work_73697967 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="73697967"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 73697967, container: ".js-paper-rank-work_73697967", }); });</script></li><li class="js-percentile-work_73697967 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 73697967; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_73697967"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_73697967 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="73697967"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 73697967; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=73697967]").text(description); $(".js-view-count-work_73697967").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_73697967").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="73697967"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">2</a>  </div><span class="InlineList-item-text u-textTruncate u-pl9x"><a class="InlineList-item-text" data-has-card-for-ri="422" rel="nofollow" href="https://www.academia.edu/Documents/in/Computer_Science">Computer Science</a>, <script data-card-contents-for-ri="422" type="text/json">{"id":422,"name":"Computer Science","url":"https://www.academia.edu/Documents/in/Computer_Science?f_ri=422","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="59587" rel="nofollow" href="https://www.academia.edu/Documents/in/Library_and_Information_Studies">Library and Information Studies</a><script data-card-contents-for-ri="59587" type="text/json">{"id":59587,"name":"Library and Information Studies","url":"https://www.academia.edu/Documents/in/Library_and_Information_Studies?f_ri=422","nofollow":true}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=73697967]'), work: {"id":73697967,"title":"Understanding Metadata: What is Metadata, and What is it For?","created_at":"2022-03-13T19:08:27.397-07:00","url":"https://www.academia.edu/73697967/Understanding_Metadata_What_is_Metadata_and_What_is_it_For?f_ri=422","dom_id":"work_73697967","summary":null,"downloadable_attachments":[{"id":82117494,"asset_id":73697967,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":26564974,"first_name":"Liz","last_name":"Woolcott","domain_name":"usu","page_name":"LizWoolcott","display_name":"Liz Woolcott","profile_url":"https://usu.academia.edu/LizWoolcott?f_ri=422","photo":"https://0.academia-photos.com/26564974/7390909/8308510/s65_liz.woolcott.jpg"}],"research_interests":[{"id":422,"name":"Computer Science","url":"https://www.academia.edu/Documents/in/Computer_Science?f_ri=422","nofollow":true},{"id":59587,"name":"Library and Information Studies","url":"https://www.academia.edu/Documents/in/Library_and_Information_Studies?f_ri=422","nofollow":true}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_166961" data-work_id="166961" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/166961/An_Epistemological_Model_of_Disability_The_Development_of_Attitudes_Towards_Touch_Blindness_and_The_Arts">An Epistemological Model of Disability: The Development of Attitudes Towards Touch, Blindness & The Arts</a></div></div><div class="u-pb4x u-mt3x"></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/166961" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="1d1c151eee9f2a3a0d001733537541c4" rel="nofollow" data-download="{"attachment_id":90089,"asset_id":166961,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/90089/download_file?st=MTczODMyMzE5MSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="22394" href="https://bath.academia.edu/SimonHayhoe">Simon Hayhoe</a><script data-card-contents-for-user="22394" type="text/json">{"id":22394,"first_name":"Simon","last_name":"Hayhoe","domain_name":"bath","page_name":"SimonHayhoe","display_name":"Simon Hayhoe","profile_url":"https://bath.academia.edu/SimonHayhoe?f_ri=422","photo":"https://0.academia-photos.com/22394/7496/6024275/s65_simon.hayhoe.jpg"}</script></span></span></li><li class="js-paper-rank-work_166961 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="166961"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 166961, container: ".js-paper-rank-work_166961", }); });</script></li><li class="js-percentile-work_166961 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 166961; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_166961"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_166961 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="166961"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 166961; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=166961]").text(description); $(".js-view-count-work_166961").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_166961").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="166961"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">10</a>  </div><span class="InlineList-item-text u-textTruncate u-pl10x"><a class="InlineList-item-text" data-has-card-for-ri="422" rel="nofollow" href="https://www.academia.edu/Documents/in/Computer_Science">Computer Science</a>, <script data-card-contents-for-ri="422" type="text/json">{"id":422,"name":"Computer Science","url":"https://www.academia.edu/Documents/in/Computer_Science?f_ri=422","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="445" rel="nofollow" href="https://www.academia.edu/Documents/in/Computer_Graphics">Computer Graphics</a>, <script data-card-contents-for-ri="445" type="text/json">{"id":445,"name":"Computer Graphics","url":"https://www.academia.edu/Documents/in/Computer_Graphics?f_ri=422","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="472" rel="nofollow" href="https://www.academia.edu/Documents/in/Human_Computer_Interaction">Human Computer Interaction</a>, <script data-card-contents-for-ri="472" type="text/json">{"id":472,"name":"Human Computer Interaction","url":"https://www.academia.edu/Documents/in/Human_Computer_Interaction?f_ri=422","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="803" rel="nofollow" href="https://www.academia.edu/Documents/in/Philosophy">Philosophy</a><script data-card-contents-for-ri="803" type="text/json">{"id":803,"name":"Philosophy","url":"https://www.academia.edu/Documents/in/Philosophy?f_ri=422","nofollow":true}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=166961]'), work: {"id":166961,"title":"An Epistemological Model of Disability: The Development of Attitudes Towards Touch, Blindness \u0026 The Arts","created_at":"2008-12-09T22:28:29.786-08:00","url":"https://www.academia.edu/166961/An_Epistemological_Model_of_Disability_The_Development_of_Attitudes_Towards_Touch_Blindness_and_The_Arts?f_ri=422","dom_id":"work_166961","summary":null,"downloadable_attachments":[{"id":90089,"asset_id":166961,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":22394,"first_name":"Simon","last_name":"Hayhoe","domain_name":"bath","page_name":"SimonHayhoe","display_name":"Simon Hayhoe","profile_url":"https://bath.academia.edu/SimonHayhoe?f_ri=422","photo":"https://0.academia-photos.com/22394/7496/6024275/s65_simon.hayhoe.jpg"}],"research_interests":[{"id":422,"name":"Computer Science","url":"https://www.academia.edu/Documents/in/Computer_Science?f_ri=422","nofollow":true},{"id":445,"name":"Computer Graphics","url":"https://www.academia.edu/Documents/in/Computer_Graphics?f_ri=422","nofollow":true},{"id":472,"name":"Human Computer Interaction","url":"https://www.academia.edu/Documents/in/Human_Computer_Interaction?f_ri=422","nofollow":true},{"id":803,"name":"Philosophy","url":"https://www.academia.edu/Documents/in/Philosophy?f_ri=422","nofollow":true},{"id":1062,"name":"Special Education","url":"https://www.academia.edu/Documents/in/Special_Education?f_ri=422"},{"id":1237,"name":"Social Sciences","url":"https://www.academia.edu/Documents/in/Social_Sciences?f_ri=422"},{"id":1677,"name":"Learning \u0026 Memory","url":"https://www.academia.edu/Documents/in/Learning_and_Memory?f_ri=422"},{"id":2260,"name":"Disability Studies","url":"https://www.academia.edu/Documents/in/Disability_Studies?f_ri=422"},{"id":3512,"name":"Educational Inequalities (class; race; gender etc)","url":"https://www.academia.edu/Documents/in/Educational_Inequalities_class_race_gender_etc_?f_ri=422"},{"id":6791,"name":"Aging","url":"https://www.academia.edu/Documents/in/Aging?f_ri=422"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_75282795" data-work_id="75282795" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/75282795/Problem_Reduction_in_Online_Payment_System_Using_Hybrid_Model">Problem Reduction in Online Payment System Using Hybrid Model</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">Online auction, shopping, electronic billing etc. all such types of application involves problems of fraudulent transactions. Online fraud occurrence and its detection is one of the challenging fields for web development and online... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_75282795" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Online auction, shopping, electronic billing etc. all such types of application involves problems of fraudulent transactions. Online fraud occurrence and its detection is one of the challenging fields for web development and online phantom transaction. As no-secure specification of online frauds is in research database, so the techniques to evaluate and stop them are also in study. We are providing an approach with Hidden Markov Model (HMM) and mobile implicit authentication to find whether the user interacting online is a fraud or not. We propose a model based on these approaches to counter the occurred fraud and prevent the loss of the customer. Our technique is more parameterized than traditional approaches and so, chances of detecting legitimate user as a fraud will reduce.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/75282795" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="dbfb55381457da46389492d2a1d73557" rel="nofollow" data-download="{"attachment_id":83605793,"asset_id":75282795,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/83605793/download_file?st=MTczODMyMzE5MSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="131231876" href="https://independent.academia.edu/ProfVipinTyagi">Prof.Vipin Tyagi</a><script data-card-contents-for-user="131231876" type="text/json">{"id":131231876,"first_name":"Prof.Vipin","last_name":"Tyagi","domain_name":"independent","page_name":"ProfVipinTyagi","display_name":"Prof.Vipin Tyagi","profile_url":"https://independent.academia.edu/ProfVipinTyagi?f_ri=422","photo":"/images/s65_no_pic.png"}</script></span></span></li><li class="js-paper-rank-work_75282795 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="75282795"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 75282795, container: ".js-paper-rank-work_75282795", }); });</script></li><li class="js-percentile-work_75282795 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 75282795; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_75282795"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_75282795 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="75282795"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 75282795; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=75282795]").text(description); $(".js-view-count-work_75282795").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_75282795").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="75282795"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">12</a>  </div><span class="InlineList-item-text u-textTruncate u-pl10x"><a class="InlineList-item-text" data-has-card-for-ri="422" rel="nofollow" href="https://www.academia.edu/Documents/in/Computer_Science">Computer Science</a>, <script data-card-contents-for-ri="422" type="text/json">{"id":422,"name":"Computer Science","url":"https://www.academia.edu/Documents/in/Computer_Science?f_ri=422","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="6101" rel="nofollow" href="https://www.academia.edu/Documents/in/Fraud_Detection_And_Prevention">Fraud Detection And Prevention</a>, <script data-card-contents-for-ri="6101" type="text/json">{"id":6101,"name":"Fraud Detection And Prevention","url":"https://www.academia.edu/Documents/in/Fraud_Detection_And_Prevention?f_ri=422","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="8130" rel="nofollow" href="https://www.academia.edu/Documents/in/Web_Development">Web Development</a>, <script data-card-contents-for-ri="8130" type="text/json">{"id":8130,"name":"Web Development","url":"https://www.academia.edu/Documents/in/Web_Development?f_ri=422","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="68937" rel="nofollow" href="https://www.academia.edu/Documents/in/Hidden_Markov_Models">Hidden Markov Models</a><script data-card-contents-for-ri="68937" type="text/json">{"id":68937,"name":"Hidden Markov Models","url":"https://www.academia.edu/Documents/in/Hidden_Markov_Models?f_ri=422","nofollow":true}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=75282795]'), work: {"id":75282795,"title":"Problem Reduction in Online Payment System Using Hybrid Model","created_at":"2022-04-02T23:30:29.642-07:00","url":"https://www.academia.edu/75282795/Problem_Reduction_in_Online_Payment_System_Using_Hybrid_Model?f_ri=422","dom_id":"work_75282795","summary":"Online auction, shopping, electronic billing etc. all such types of application involves problems of fraudulent transactions. Online fraud occurrence and its detection is one of the challenging fields for web development and online phantom transaction. As no-secure specification of online frauds is in research database, so the techniques to evaluate and stop them are also in study. We are providing an approach with Hidden Markov Model (HMM) and mobile implicit authentication to find whether the user interacting online is a fraud or not. We propose a model based on these approaches to counter the occurred fraud and prevent the loss of the customer. Our technique is more parameterized than traditional approaches and so, chances of detecting legitimate user as a fraud will reduce.","downloadable_attachments":[{"id":83605793,"asset_id":75282795,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":131231876,"first_name":"Prof.Vipin","last_name":"Tyagi","domain_name":"independent","page_name":"ProfVipinTyagi","display_name":"Prof.Vipin Tyagi","profile_url":"https://independent.academia.edu/ProfVipinTyagi?f_ri=422","photo":"/images/s65_no_pic.png"}],"research_interests":[{"id":422,"name":"Computer Science","url":"https://www.academia.edu/Documents/in/Computer_Science?f_ri=422","nofollow":true},{"id":6101,"name":"Fraud Detection And Prevention","url":"https://www.academia.edu/Documents/in/Fraud_Detection_And_Prevention?f_ri=422","nofollow":true},{"id":8130,"name":"Web Development","url":"https://www.academia.edu/Documents/in/Web_Development?f_ri=422","nofollow":true},{"id":68937,"name":"Hidden Markov Models","url":"https://www.academia.edu/Documents/in/Hidden_Markov_Models?f_ri=422","nofollow":true},{"id":143539,"name":"hidden Markov model","url":"https://www.academia.edu/Documents/in/hidden_Markov_model?f_ri=422"},{"id":171574,"name":"Payment System","url":"https://www.academia.edu/Documents/in/Payment_System?f_ri=422"},{"id":621171,"name":"WEB DEVELOPMENT","url":"https://www.academia.edu/Documents/in/WEB_DEVELOPMENT-1?f_ri=422"},{"id":825211,"name":"Mobile Authentication","url":"https://www.academia.edu/Documents/in/Mobile_Authentication?f_ri=422"},{"id":843661,"name":"Online Auction","url":"https://www.academia.edu/Documents/in/Online_Auction?f_ri=422"},{"id":1198434,"name":"User Interaction","url":"https://www.academia.edu/Documents/in/User_Interaction?f_ri=422"},{"id":1290770,"name":"Hybrid Model","url":"https://www.academia.edu/Documents/in/Hybrid_Model?f_ri=422"},{"id":1442333,"name":"Managing Information Technology","url":"https://www.academia.edu/Documents/in/Managing_Information_Technology?f_ri=422"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_78689882" data-work_id="78689882" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/78689882/Design_Deployment_and_Implementation_of_Local_Area_Network_LAN_at_BAEC_Head_Quarter_">Design, Deployment and Implementation of Local Area Network (LAN) at BAEC Head Quarter</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">A local area network (LAN) is a computer network within a small geographical area such as a home, school, computer laboratory, office building or group of buildings. A LAN is composed of interconnected workstations and personal computers... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_78689882" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">A local area network (LAN) is a computer network within a small geographical area such as a home, school, computer laboratory, office building or group of buildings. A LAN is composed of interconnected workstations and personal computers which are each capable of accessing and sharing data and devices, such as printers, scanners and data storage devices, anywhere on the LAN. LANs are characterized by higher communication and data transfer rates and the lack of any need for leased communication lines. Communication between remote parties can be achieved through a process called Networking, involving the connection of computers, media and networking devices. When we talk about networks, we need to keep in mind three concepts, distributed processing, network criteria and network structure. The purpose of this Network is to design a Local Area Network (LAN) for a BAEC (Bangladesh Atomic Energy Commission) Head Quarter and implement security measures to protect network resources and syst...</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/78689882" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="950ea98c9d9fee8536e59a8a52222c79" rel="nofollow" data-download="{"attachment_id":85649166,"asset_id":78689882,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/85649166/download_file?st=MTczODMyMzE5MSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="149778880" href="https://independent.academia.edu/OsmanGoni71">Osman Goni</a><script data-card-contents-for-user="149778880" type="text/json">{"id":149778880,"first_name":"Osman","last_name":"Goni","domain_name":"independent","page_name":"OsmanGoni71","display_name":"Osman Goni","profile_url":"https://independent.academia.edu/OsmanGoni71?f_ri=422","photo":"/images/s65_no_pic.png"}</script></span></span></li><li class="js-paper-rank-work_78689882 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="78689882"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 78689882, container: ".js-paper-rank-work_78689882", }); });</script></li><li class="js-percentile-work_78689882 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 78689882; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_78689882"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_78689882 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="78689882"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 78689882; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=78689882]").text(description); $(".js-view-count-work_78689882").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_78689882").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="78689882"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">7</a>  </div><span class="InlineList-item-text u-textTruncate u-pl9x"><a class="InlineList-item-text" data-has-card-for-ri="422" rel="nofollow" href="https://www.academia.edu/Documents/in/Computer_Science">Computer Science</a>, <script data-card-contents-for-ri="422" type="text/json">{"id":422,"name":"Computer Science","url":"https://www.academia.edu/Documents/in/Computer_Science?f_ri=422","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="491" rel="nofollow" href="https://www.academia.edu/Documents/in/Information_Technology">Information Technology</a>, <script data-card-contents-for-ri="491" type="text/json">{"id":491,"name":"Information Technology","url":"https://www.academia.edu/Documents/in/Information_Technology?f_ri=422","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="18895" rel="nofollow" href="https://www.academia.edu/Documents/in/Bangladesh">Bangladesh</a>, <script data-card-contents-for-ri="18895" type="text/json">{"id":18895,"name":"Bangladesh","url":"https://www.academia.edu/Documents/in/Bangladesh?f_ri=422","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="269983" rel="nofollow" href="https://www.academia.edu/Documents/in/Computer_System">Computer System</a><script data-card-contents-for-ri="269983" type="text/json">{"id":269983,"name":"Computer System","url":"https://www.academia.edu/Documents/in/Computer_System?f_ri=422","nofollow":true}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=78689882]'), work: {"id":78689882,"title":"Design, Deployment and Implementation of Local Area Network (LAN) at BAEC Head Quarter","created_at":"2022-05-07T10:02:34.795-07:00","url":"https://www.academia.edu/78689882/Design_Deployment_and_Implementation_of_Local_Area_Network_LAN_at_BAEC_Head_Quarter_?f_ri=422","dom_id":"work_78689882","summary":"A local area network (LAN) is a computer network within a small geographical area such as a home, school, computer laboratory, office building or group of buildings. A LAN is composed of interconnected workstations and personal computers which are each capable of accessing and sharing data and devices, such as printers, scanners and data storage devices, anywhere on the LAN. LANs are characterized by higher communication and data transfer rates and the lack of any need for leased communication lines. Communication between remote parties can be achieved through a process called Networking, involving the connection of computers, media and networking devices. When we talk about networks, we need to keep in mind three concepts, distributed processing, network criteria and network structure. The purpose of this Network is to design a Local Area Network (LAN) for a BAEC (Bangladesh Atomic Energy Commission) Head Quarter and implement security measures to protect network resources and syst...","downloadable_attachments":[{"id":85649166,"asset_id":78689882,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":149778880,"first_name":"Osman","last_name":"Goni","domain_name":"independent","page_name":"OsmanGoni71","display_name":"Osman Goni","profile_url":"https://independent.academia.edu/OsmanGoni71?f_ri=422","photo":"/images/s65_no_pic.png"}],"research_interests":[{"id":422,"name":"Computer Science","url":"https://www.academia.edu/Documents/in/Computer_Science?f_ri=422","nofollow":true},{"id":491,"name":"Information Technology","url":"https://www.academia.edu/Documents/in/Information_Technology?f_ri=422","nofollow":true},{"id":18895,"name":"Bangladesh","url":"https://www.academia.edu/Documents/in/Bangladesh?f_ri=422","nofollow":true},{"id":269983,"name":"Computer System","url":"https://www.academia.edu/Documents/in/Computer_System?f_ri=422","nofollow":true},{"id":413544,"name":"Computer Systems Engineering","url":"https://www.academia.edu/Documents/in/Computer_Systems_Engineering?f_ri=422"},{"id":457721,"name":"Computer Science Engineering","url":"https://www.academia.edu/Documents/in/Computer_Science_Engineering?f_ri=422"},{"id":1226904,"name":"Computer Science and Engineering","url":"https://www.academia.edu/Documents/in/Computer_Science_and_Engineering-1?f_ri=422"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_71888081" data-work_id="71888081" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/71888081/Processing_Phoneme_Specific_Segments_for_Cleft_Lip_and_Palate_Speech_Enhancement">Processing Phoneme Specific Segments for Cleft Lip and Palate Speech Enhancement</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">The cleft lip and palate (CLP) speech intelligibility is distorted due to the deformation in their articulatory system. For addressing the same, a few previous works perform phoneme specific modification in CLP speech. In CLP speech, both... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_71888081" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">The cleft lip and palate (CLP) speech intelligibility is distorted due to the deformation in their articulatory system. For addressing the same, a few previous works perform phoneme specific modification in CLP speech. In CLP speech, both the articulation error and the nasalization distorts the intelligibility of a word. Consequently, modification of a specific phoneme may not always yield in enhanced entire word-level intelligibility. For such cases, it is important to identify and isolate the phoneme specific error based on the knowledge of acoustic events. Accordingly, the phoneme specific error modification algorithms can be exploited for transforming the specified errors and enhance the wordlevel intelligibility. Motivated by that, in this work, we combine some of salient phoneme specific enhancement approaches and demonstrate their effectiveness in improving the word-level intelligibility of CLP speech. The enhanced speech samples are evaluated using subjective and objective e...</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/71888081" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="c7a2c938043236016c4b242be426cee3" rel="nofollow" data-download="{"attachment_id":81049205,"asset_id":71888081,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/81049205/download_file?st=MTczODMyMzE5MSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="171037510" href="https://mithibai.academia.edu/RohitSinha">Rohit Sinha</a><script data-card-contents-for-user="171037510" type="text/json">{"id":171037510,"first_name":"Rohit","last_name":"Sinha","domain_name":"mithibai","page_name":"RohitSinha","display_name":"Rohit Sinha","profile_url":"https://mithibai.academia.edu/RohitSinha?f_ri=422","photo":"https://0.academia-photos.com/171037510/171049423/161038609/s65_rohit.sinha.png"}</script></span></span></li><li class="js-paper-rank-work_71888081 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="71888081"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 71888081, container: ".js-paper-rank-work_71888081", }); });</script></li><li class="js-percentile-work_71888081 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 71888081; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_71888081"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_71888081 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="71888081"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 71888081; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=71888081]").text(description); $(".js-view-count-work_71888081").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_71888081").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="71888081"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">4</a>  </div><span class="InlineList-item-text u-textTruncate u-pl9x"><a class="InlineList-item-text" data-has-card-for-ri="48" rel="nofollow" href="https://www.academia.edu/Documents/in/Engineering">Engineering</a>, <script data-card-contents-for-ri="48" type="text/json">{"id":48,"name":"Engineering","url":"https://www.academia.edu/Documents/in/Engineering?f_ri=422","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="422" rel="nofollow" href="https://www.academia.edu/Documents/in/Computer_Science">Computer Science</a>, <script data-card-contents-for-ri="422" type="text/json">{"id":422,"name":"Computer Science","url":"https://www.academia.edu/Documents/in/Computer_Science?f_ri=422","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="7710" rel="nofollow" href="https://www.academia.edu/Documents/in/Biology">Biology</a>, <script data-card-contents-for-ri="7710" type="text/json">{"id":7710,"name":"Biology","url":"https://www.academia.edu/Documents/in/Biology?f_ri=422","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="3193313" rel="nofollow" href="https://www.academia.edu/Documents/in/arXiv">arXiv</a><script data-card-contents-for-ri="3193313" type="text/json">{"id":3193313,"name":"arXiv","url":"https://www.academia.edu/Documents/in/arXiv?f_ri=422","nofollow":true}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=71888081]'), work: {"id":71888081,"title":"Processing Phoneme Specific Segments for Cleft Lip and Palate Speech Enhancement","created_at":"2022-02-19T17:06:32.181-08:00","url":"https://www.academia.edu/71888081/Processing_Phoneme_Specific_Segments_for_Cleft_Lip_and_Palate_Speech_Enhancement?f_ri=422","dom_id":"work_71888081","summary":"The cleft lip and palate (CLP) speech intelligibility is distorted due to the deformation in their articulatory system. For addressing the same, a few previous works perform phoneme specific modification in CLP speech. In CLP speech, both the articulation error and the nasalization distorts the intelligibility of a word. Consequently, modification of a specific phoneme may not always yield in enhanced entire word-level intelligibility. For such cases, it is important to identify and isolate the phoneme specific error based on the knowledge of acoustic events. Accordingly, the phoneme specific error modification algorithms can be exploited for transforming the specified errors and enhance the wordlevel intelligibility. Motivated by that, in this work, we combine some of salient phoneme specific enhancement approaches and demonstrate their effectiveness in improving the word-level intelligibility of CLP speech. The enhanced speech samples are evaluated using subjective and objective e...","downloadable_attachments":[{"id":81049205,"asset_id":71888081,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":171037510,"first_name":"Rohit","last_name":"Sinha","domain_name":"mithibai","page_name":"RohitSinha","display_name":"Rohit Sinha","profile_url":"https://mithibai.academia.edu/RohitSinha?f_ri=422","photo":"https://0.academia-photos.com/171037510/171049423/161038609/s65_rohit.sinha.png"}],"research_interests":[{"id":48,"name":"Engineering","url":"https://www.academia.edu/Documents/in/Engineering?f_ri=422","nofollow":true},{"id":422,"name":"Computer Science","url":"https://www.academia.edu/Documents/in/Computer_Science?f_ri=422","nofollow":true},{"id":7710,"name":"Biology","url":"https://www.academia.edu/Documents/in/Biology?f_ri=422","nofollow":true},{"id":3193313,"name":"arXiv","url":"https://www.academia.edu/Documents/in/arXiv?f_ri=422","nofollow":true}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_77876090" data-work_id="77876090" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/77876090/Pruebas_de_sensibilidad_y_resistencia_bacteriana_frente_a_diferentes_concentraciones_de_extracto_de_caesalpinia_coriaria_Guatanam%C3%A1_">Pruebas de sensibilidad y resistencia bacteriana frente a diferentes concentraciones de extracto de caesalpinia coriaria (Guatanamá)</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest">Resumen es: El objetivo general de esta investigacion es determinar la sensibilidad o resistencia de las bacterias Escherichia coli, Pseudomona aeruginosa, Staphyloc...</div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/77876090" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="97e6285cdfd23006a244fa8162f48cab" rel="nofollow" data-download="{"attachment_id":85117625,"asset_id":77876090,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/85117625/download_file?st=MTczODMyMzE5MSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="1694514" href="https://independent.academia.edu/CristianaCruzMinier">Cristiana Cruz Minier</a><script data-card-contents-for-user="1694514" type="text/json">{"id":1694514,"first_name":"Cristiana","last_name":"Cruz Minier","domain_name":"independent","page_name":"CristianaCruzMinier","display_name":"Cristiana Cruz Minier","profile_url":"https://independent.academia.edu/CristianaCruzMinier?f_ri=422","photo":"https://0.academia-photos.com/1694514/585669/20140501/s65_cristiana.cruz_minier.jpg"}</script></span></span></li><li class="js-paper-rank-work_77876090 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="77876090"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 77876090, container: ".js-paper-rank-work_77876090", }); });</script></li><li class="js-percentile-work_77876090 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 77876090; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_77876090"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_77876090 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="77876090"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 77876090; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=77876090]").text(description); $(".js-view-count-work_77876090").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_77876090").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="77876090"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">3</a>  </div><span class="InlineList-item-text u-textTruncate u-pl9x"><a class="InlineList-item-text" data-has-card-for-ri="422" rel="nofollow" href="https://www.academia.edu/Documents/in/Computer_Science">Computer Science</a>, <script data-card-contents-for-ri="422" type="text/json">{"id":422,"name":"Computer Science","url":"https://www.academia.edu/Documents/in/Computer_Science?f_ri=422","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="247924" rel="nofollow" href="https://www.academia.edu/Documents/in/Sistemas_Y_Computacion">Sistemas Y Computacion</a>, <script data-card-contents-for-ri="247924" type="text/json">{"id":247924,"name":"Sistemas Y Computacion","url":"https://www.academia.edu/Documents/in/Sistemas_Y_Computacion?f_ri=422","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="1183643" rel="nofollow" href="https://www.academia.edu/Documents/in/Ciencia_Y_Sociedad">Ciencia Y Sociedad</a><script data-card-contents-for-ri="1183643" type="text/json">{"id":1183643,"name":"Ciencia Y Sociedad","url":"https://www.academia.edu/Documents/in/Ciencia_Y_Sociedad?f_ri=422","nofollow":true}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=77876090]'), work: {"id":77876090,"title":"Pruebas de sensibilidad y resistencia bacteriana frente a diferentes concentraciones de extracto de caesalpinia coriaria (Guatanamá)","created_at":"2022-04-28T08:40:05.175-07:00","url":"https://www.academia.edu/77876090/Pruebas_de_sensibilidad_y_resistencia_bacteriana_frente_a_diferentes_concentraciones_de_extracto_de_caesalpinia_coriaria_Guatanam%C3%A1_?f_ri=422","dom_id":"work_77876090","summary":"Resumen es: El objetivo general de esta investigacion es determinar la sensibilidad o resistencia de las bacterias Escherichia coli, Pseudomona aeruginosa, Staphyloc...","downloadable_attachments":[{"id":85117625,"asset_id":77876090,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":1694514,"first_name":"Cristiana","last_name":"Cruz Minier","domain_name":"independent","page_name":"CristianaCruzMinier","display_name":"Cristiana Cruz Minier","profile_url":"https://independent.academia.edu/CristianaCruzMinier?f_ri=422","photo":"https://0.academia-photos.com/1694514/585669/20140501/s65_cristiana.cruz_minier.jpg"}],"research_interests":[{"id":422,"name":"Computer Science","url":"https://www.academia.edu/Documents/in/Computer_Science?f_ri=422","nofollow":true},{"id":247924,"name":"Sistemas Y Computacion","url":"https://www.academia.edu/Documents/in/Sistemas_Y_Computacion?f_ri=422","nofollow":true},{"id":1183643,"name":"Ciencia Y Sociedad","url":"https://www.academia.edu/Documents/in/Ciencia_Y_Sociedad?f_ri=422","nofollow":true}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_63190669" data-work_id="63190669" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/63190669/Secure_and_smart_Internet_of_things_IoT_using_blockchain_and_AI">Secure and smart Internet of things (IoT) : using blockchain and AI</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">Internet of things what is iot and iot security kaspersky. report most iot transactions are not secure network world. internet of things iot solutions ssl. internet of things iot solutions amp technologies samsung. secure and smart... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_63190669" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Internet of things what is iot and iot security kaspersky. report most iot transactions are not secure network world. internet of things iot solutions ssl. internet of things iot solutions amp technologies samsung. secure and smart internet of things iot using. secure and smart internet of things iot using. internet of things brochure shaping europe s digital. putting the s in iot how to make internet of things. iot security 42 top internet of things security solutions. securing the internet of things a proposed framework. the teamviewer iot solution secure hyperconnectivity. internet of things iot iot security web secure media. internet of things iot security what are the issues. what is iot security internet of things security. mozilla iot. iot for smart things stmicroelectronics. about smart cards applications internet of things iot. plan to secure internet of things with new law bbc news. internet of things. securing the internet of things. internet of things iot of smart home p...</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/63190669" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="97d49ffff040107be849ae225dd15103" rel="nofollow" data-download="{"attachment_id":75697048,"asset_id":63190669,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/75697048/download_file?st=MTczODMyMzE5MSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="13385866" href="https://independent.academia.edu/AhmedBanafa">Ahmed Banafa</a><script data-card-contents-for-user="13385866" type="text/json">{"id":13385866,"first_name":"Ahmed","last_name":"Banafa","domain_name":"independent","page_name":"AhmedBanafa","display_name":"Ahmed Banafa","profile_url":"https://independent.academia.edu/AhmedBanafa?f_ri=422","photo":"https://0.academia-photos.com/13385866/9425740/10503467/s65_ahmed.banafa.jpg"}</script></span></span></li><li class="js-paper-rank-work_63190669 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="63190669"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 63190669, container: ".js-paper-rank-work_63190669", }); });</script></li><li class="js-percentile-work_63190669 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 63190669; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_63190669"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_63190669 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="63190669"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 63190669; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=63190669]").text(description); $(".js-view-count-work_63190669").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_63190669").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="63190669"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i></div><span class="InlineList-item-text u-textTruncate u-pl6x"><a class="InlineList-item-text" data-has-card-for-ri="422" rel="nofollow" href="https://www.academia.edu/Documents/in/Computer_Science">Computer Science</a><script data-card-contents-for-ri="422" type="text/json">{"id":422,"name":"Computer Science","url":"https://www.academia.edu/Documents/in/Computer_Science?f_ri=422","nofollow":true}</script></span></li><script>(function(){ if (false) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=63190669]'), work: {"id":63190669,"title":"Secure and smart Internet of things (IoT) : using blockchain and AI","created_at":"2021-12-04T06:32:47.715-08:00","url":"https://www.academia.edu/63190669/Secure_and_smart_Internet_of_things_IoT_using_blockchain_and_AI?f_ri=422","dom_id":"work_63190669","summary":"Internet of things what is iot and iot security kaspersky. report most iot transactions are not secure network world. internet of things iot solutions ssl. internet of things iot solutions amp technologies samsung. secure and smart internet of things iot using. secure and smart internet of things iot using. internet of things brochure shaping europe s digital. putting the s in iot how to make internet of things. iot security 42 top internet of things security solutions. securing the internet of things a proposed framework. the teamviewer iot solution secure hyperconnectivity. internet of things iot iot security web secure media. internet of things iot security what are the issues. what is iot security internet of things security. mozilla iot. iot for smart things stmicroelectronics. about smart cards applications internet of things iot. plan to secure internet of things with new law bbc news. internet of things. securing the internet of things. internet of things iot of smart home p...","downloadable_attachments":[{"id":75697048,"asset_id":63190669,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":13385866,"first_name":"Ahmed","last_name":"Banafa","domain_name":"independent","page_name":"AhmedBanafa","display_name":"Ahmed Banafa","profile_url":"https://independent.academia.edu/AhmedBanafa?f_ri=422","photo":"https://0.academia-photos.com/13385866/9425740/10503467/s65_ahmed.banafa.jpg"}],"research_interests":[{"id":422,"name":"Computer Science","url":"https://www.academia.edu/Documents/in/Computer_Science?f_ri=422","nofollow":true}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_81850148" data-work_id="81850148" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/81850148/Software_de_Registro_de_Presen%C3%A7a_em_Sistema_Embarcado_com_Integra%C3%A7%C3%A3o_Web">Software de Registro de Presença em Sistema Embarcado com Integração Web</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">O artigo a seguir busca propor um software baseado em um sistema embarcado conectado a um banco de dados que realiza o registro em tempo real de presença de usuários por meio da leitura de cartões emissores de radiofrequência. O hardware... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_81850148" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">O artigo a seguir busca propor um software baseado em um sistema embarcado conectado a um banco de dados que realiza o registro em tempo real de presença de usuários por meio da leitura de cartões emissores de radiofrequência. O hardware pode ser acoplado a qualquer porta, oferecendo processamento suficiente para a leitura e armazenamento dinâmicos. A análise de dados deste sistema é realizada por uma página web construída em Javascript que realiza múltiplas conexões de registro e possui segurança de login, sendo altamente escalável a padrões empresariais. O programa tem como sua vertente principal eliminar os gastos com papel no registro de presença de instituições educacionais e empresariais, oferecendo um caráter mais sustentável a este ramo e eliminando possíveis fraudes de assinatura.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/81850148" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="b86573e6440887b90a05523292d713c9" rel="nofollow" data-download="{"attachment_id":87750507,"asset_id":81850148,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/87750507/download_file?st=MTczODMyMzE5MSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="10922281" href="https://ufrn.academia.edu/RummeniggeDantas">Rummenigge Dantas</a><script data-card-contents-for-user="10922281" type="text/json">{"id":10922281,"first_name":"Rummenigge","last_name":"Dantas","domain_name":"ufrn","page_name":"RummeniggeDantas","display_name":"Rummenigge Dantas","profile_url":"https://ufrn.academia.edu/RummeniggeDantas?f_ri=422","photo":"https://gravatar.com/avatar/a86c87a745b4623bc9115b5dab0b8259?s=65"}</script></span></span></li><li class="js-paper-rank-work_81850148 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="81850148"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 81850148, container: ".js-paper-rank-work_81850148", }); });</script></li><li class="js-percentile-work_81850148 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 81850148; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_81850148"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_81850148 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="81850148"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 81850148; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=81850148]").text(description); $(".js-view-count-work_81850148").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_81850148").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="81850148"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i></div><span class="InlineList-item-text u-textTruncate u-pl6x"><a class="InlineList-item-text" data-has-card-for-ri="422" rel="nofollow" href="https://www.academia.edu/Documents/in/Computer_Science">Computer Science</a><script data-card-contents-for-ri="422" type="text/json">{"id":422,"name":"Computer Science","url":"https://www.academia.edu/Documents/in/Computer_Science?f_ri=422","nofollow":true}</script></span></li><script>(function(){ if (false) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=81850148]'), work: {"id":81850148,"title":"Software de Registro de Presença em Sistema Embarcado com Integração Web","created_at":"2022-06-19T16:23:30.112-07:00","url":"https://www.academia.edu/81850148/Software_de_Registro_de_Presen%C3%A7a_em_Sistema_Embarcado_com_Integra%C3%A7%C3%A3o_Web?f_ri=422","dom_id":"work_81850148","summary":"O artigo a seguir busca propor um software baseado em um sistema embarcado conectado a um banco de dados que realiza o registro em tempo real de presença de usuários por meio da leitura de cartões emissores de radiofrequência. O hardware pode ser acoplado a qualquer porta, oferecendo processamento suficiente para a leitura e armazenamento dinâmicos. A análise de dados deste sistema é realizada por uma página web construída em Javascript que realiza múltiplas conexões de registro e possui segurança de login, sendo altamente escalável a padrões empresariais. O programa tem como sua vertente principal eliminar os gastos com papel no registro de presença de instituições educacionais e empresariais, oferecendo um caráter mais sustentável a este ramo e eliminando possíveis fraudes de assinatura.","downloadable_attachments":[{"id":87750507,"asset_id":81850148,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":10922281,"first_name":"Rummenigge","last_name":"Dantas","domain_name":"ufrn","page_name":"RummeniggeDantas","display_name":"Rummenigge Dantas","profile_url":"https://ufrn.academia.edu/RummeniggeDantas?f_ri=422","photo":"https://gravatar.com/avatar/a86c87a745b4623bc9115b5dab0b8259?s=65"}],"research_interests":[{"id":422,"name":"Computer Science","url":"https://www.academia.edu/Documents/in/Computer_Science?f_ri=422","nofollow":true}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_73302578" data-work_id="73302578" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/73302578/META_GLARE_a_shell_for_CIG_systems">META-GLARE: a shell for CIG systems</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">In the last twenty years, many different approaches to deal with Computer-Interpretable clinical Guidelines (CIGs) have been developed, each one proposing its own representation formalism (mostly based on the Task-Network Model) execution... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_73302578" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">In the last twenty years, many different approaches to deal with Computer-Interpretable clinical Guidelines (CIGs) have been developed, each one proposing its own representation formalism (mostly based on the Task-Network Model) execution engine. We propose META-GLARE a shell for easily defining new CIG systems. Using META-GLARE, CIG system designers can easily define their own systems (basically by defining their representation language), with a minimal programming effort. META-GLARE is thus a flexible and powerful vehicle for research about CIGs, since it supports easy and fast prototyping of new CIG systems.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/73302578" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="b883eb33a7086a563a54c96197231e33" rel="nofollow" data-download="{"attachment_id":81875097,"asset_id":73302578,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/81875097/download_file?st=MTczODMyMzE5MSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="33352421" href="https://laborange.academia.edu/StefaniaRubrichi">Stefania Rubrichi</a><script data-card-contents-for-user="33352421" type="text/json">{"id":33352421,"first_name":"Stefania","last_name":"Rubrichi","domain_name":"laborange","page_name":"StefaniaRubrichi","display_name":"Stefania Rubrichi","profile_url":"https://laborange.academia.edu/StefaniaRubrichi?f_ri=422","photo":"/images/s65_no_pic.png"}</script></span></span></li><li class="js-paper-rank-work_73302578 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="73302578"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 73302578, container: ".js-paper-rank-work_73302578", }); });</script></li><li class="js-percentile-work_73302578 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 73302578; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_73302578"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_73302578 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="73302578"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 73302578; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=73302578]").text(description); $(".js-view-count-work_73302578").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_73302578").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="73302578"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">10</a>  </div><span class="InlineList-item-text u-textTruncate u-pl10x"><a class="InlineList-item-text" data-has-card-for-ri="422" rel="nofollow" href="https://www.academia.edu/Documents/in/Computer_Science">Computer Science</a>, <script data-card-contents-for-ri="422" type="text/json">{"id":422,"name":"Computer Science","url":"https://www.academia.edu/Documents/in/Computer_Science?f_ri=422","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="451" rel="nofollow" href="https://www.academia.edu/Documents/in/Programming_Languages">Programming Languages</a>, <script data-card-contents-for-ri="451" type="text/json">{"id":451,"name":"Programming Languages","url":"https://www.academia.edu/Documents/in/Programming_Languages?f_ri=422","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="1432" rel="nofollow" href="https://www.academia.edu/Documents/in/Natural_Language_Processing">Natural Language Processing</a>, <script data-card-contents-for-ri="1432" type="text/json">{"id":1432,"name":"Natural Language Processing","url":"https://www.academia.edu/Documents/in/Natural_Language_Processing?f_ri=422","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="26327" rel="nofollow" href="https://www.academia.edu/Documents/in/Medicine">Medicine</a><script data-card-contents-for-ri="26327" type="text/json">{"id":26327,"name":"Medicine","url":"https://www.academia.edu/Documents/in/Medicine?f_ri=422","nofollow":true}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=73302578]'), work: {"id":73302578,"title":"META-GLARE: a shell for CIG systems","created_at":"2022-03-08T02:05:34.129-08:00","url":"https://www.academia.edu/73302578/META_GLARE_a_shell_for_CIG_systems?f_ri=422","dom_id":"work_73302578","summary":"In the last twenty years, many different approaches to deal with Computer-Interpretable clinical Guidelines (CIGs) have been developed, each one proposing its own representation formalism (mostly based on the Task-Network Model) execution engine. We propose META-GLARE a shell for easily defining new CIG systems. Using META-GLARE, CIG system designers can easily define their own systems (basically by defining their representation language), with a minimal programming effort. META-GLARE is thus a flexible and powerful vehicle for research about CIGs, since it supports easy and fast prototyping of new CIG systems.","downloadable_attachments":[{"id":81875097,"asset_id":73302578,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":33352421,"first_name":"Stefania","last_name":"Rubrichi","domain_name":"laborange","page_name":"StefaniaRubrichi","display_name":"Stefania Rubrichi","profile_url":"https://laborange.academia.edu/StefaniaRubrichi?f_ri=422","photo":"/images/s65_no_pic.png"}],"research_interests":[{"id":422,"name":"Computer Science","url":"https://www.academia.edu/Documents/in/Computer_Science?f_ri=422","nofollow":true},{"id":451,"name":"Programming Languages","url":"https://www.academia.edu/Documents/in/Programming_Languages?f_ri=422","nofollow":true},{"id":1432,"name":"Natural Language Processing","url":"https://www.academia.edu/Documents/in/Natural_Language_Processing?f_ri=422","nofollow":true},{"id":26327,"name":"Medicine","url":"https://www.academia.edu/Documents/in/Medicine?f_ri=422","nofollow":true},{"id":45213,"name":"Italy","url":"https://www.academia.edu/Documents/in/Italy?f_ri=422"},{"id":53293,"name":"Software","url":"https://www.academia.edu/Documents/in/Software?f_ri=422"},{"id":57939,"name":"Software Design","url":"https://www.academia.edu/Documents/in/Software_Design?f_ri=422"},{"id":59587,"name":"Library and Information Studies","url":"https://www.academia.edu/Documents/in/Library_and_Information_Studies?f_ri=422"},{"id":255453,"name":"Information Storage and Retrieval","url":"https://www.academia.edu/Documents/in/Information_Storage_and_Retrieval?f_ri=422"},{"id":410370,"name":"Public health systems and services research","url":"https://www.academia.edu/Documents/in/Public_health_systems_and_services_research-1?f_ri=422"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_32955339 coauthored" data-work_id="32955339" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/32955339/%D0%92%D0%B8%D0%BA%D0%BE%D1%80%D0%B8%D1%81%D1%82%D0%B0%D0%BD%D0%BD%D1%8F_%D1%96%D0%BD%D1%84%D0%BE%D1%80%D0%BC%D0%B0%D1%86%D1%96%D0%B9%D0%BD%D0%B8%D1%85_%D1%82%D0%B5%D1%85%D0%BD%D0%BE%D0%BB%D0%BE%D0%B3%D1%96%D0%B9_%D0%BF%D1%96%D0%B4_%D1%87%D0%B0%D1%81_%D0%B2%D0%B8%D0%B1%D0%BE%D1%80%D1%87%D0%BE%D0%B3%D0%BE_%D0%BF%D1%80%D0%BE%D1%86%D0%B5%D1%81%D1%83_%D1%8F%D0%BA_%D0%B5%D0%BB%D0%B5%D0%BC%D0%B5%D0%BD%D1%82_%D0%B5%D0%BB%D0%B5%D0%BA%D1%82%D1%80%D0%BE%D0%BD%D0%BD%D0%BE%D1%97_%D0%B4%D0%B5%D0%BC%D0%BE%D0%BA%D1%80%D0%B0%D1%82%D1%96%D1%97">Використання інформаційних технологій під час виборчого процесу як елемент електронної демократії</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest">In the article the use of information technologies in an electoral process as an element of electronic democracy is investigated. Considerable attention is spared to realization of agitation over the Internet or mobile communication.</div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/32955339" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="2381ddee7002b175b1a4f2347a515c82" rel="nofollow" data-download="{"attachment_id":53083166,"asset_id":32955339,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/53083166/download_file?st=MTczODMyMzE5MSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="11861803" href="https://lp.academia.edu/SolomiaFedushko">Solomia Fedushko</a><script data-card-contents-for-user="11861803" type="text/json">{"id":11861803,"first_name":"Solomia","last_name":"Fedushko","domain_name":"lp","page_name":"SolomiaFedushko","display_name":"Solomia Fedushko","profile_url":"https://lp.academia.edu/SolomiaFedushko?f_ri=422","photo":"https://0.academia-photos.com/11861803/4508624/11802683/s65_solomia.fedushko.jpg"}</script></span></span><span class="u-displayInlineBlock InlineList-item-text"> and <span class="u-textDecorationUnderline u-clickable InlineList-item-text js-work-more-authors-32955339">+1</span><div class="hidden js-additional-users-32955339"><div><span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a href="https://lp.academia.edu/ICSConference">ICS Conference</a></span></div></div></span><script>(function(){ var popoverSettings = { el: $('.js-work-more-authors-32955339'), placement: 'bottom', hide_delay: 200, html: true, content: function(){ return $('.js-additional-users-32955339').html(); } } new HoverPopover(popoverSettings); })();</script></li><li class="js-paper-rank-work_32955339 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="32955339"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 32955339, container: ".js-paper-rank-work_32955339", }); });</script></li><li class="js-percentile-work_32955339 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 32955339; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_32955339"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_32955339 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="32955339"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 32955339; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=32955339]").text(description); $(".js-view-count-work_32955339").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_32955339").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="32955339"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">4</a>  </div><span class="InlineList-item-text u-textTruncate u-pl9x"><a class="InlineList-item-text" data-has-card-for-ri="422" rel="nofollow" href="https://www.academia.edu/Documents/in/Computer_Science">Computer Science</a>, <script data-card-contents-for-ri="422" type="text/json">{"id":422,"name":"Computer Science","url":"https://www.academia.edu/Documents/in/Computer_Science?f_ri=422","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="491" rel="nofollow" href="https://www.academia.edu/Documents/in/Information_Technology">Information Technology</a>, <script data-card-contents-for-ri="491" type="text/json">{"id":491,"name":"Information Technology","url":"https://www.academia.edu/Documents/in/Information_Technology?f_ri=422","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="859" rel="nofollow" href="https://www.academia.edu/Documents/in/Communication">Communication</a>, <script data-card-contents-for-ri="859" type="text/json">{"id":859,"name":"Communication","url":"https://www.academia.edu/Documents/in/Communication?f_ri=422","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="1237" rel="nofollow" href="https://www.academia.edu/Documents/in/Social_Sciences">Social Sciences</a><script data-card-contents-for-ri="1237" type="text/json">{"id":1237,"name":"Social Sciences","url":"https://www.academia.edu/Documents/in/Social_Sciences?f_ri=422","nofollow":true}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=32955339]'), work: {"id":32955339,"title":"Використання інформаційних технологій під час виборчого процесу як елемент електронної демократії","created_at":"2017-05-11T05:12:38.294-07:00","url":"https://www.academia.edu/32955339/%D0%92%D0%B8%D0%BA%D0%BE%D1%80%D0%B8%D1%81%D1%82%D0%B0%D0%BD%D0%BD%D1%8F_%D1%96%D0%BD%D1%84%D0%BE%D1%80%D0%BC%D0%B0%D1%86%D1%96%D0%B9%D0%BD%D0%B8%D1%85_%D1%82%D0%B5%D1%85%D0%BD%D0%BE%D0%BB%D0%BE%D0%B3%D1%96%D0%B9_%D0%BF%D1%96%D0%B4_%D1%87%D0%B0%D1%81_%D0%B2%D0%B8%D0%B1%D0%BE%D1%80%D1%87%D0%BE%D0%B3%D0%BE_%D0%BF%D1%80%D0%BE%D1%86%D0%B5%D1%81%D1%83_%D1%8F%D0%BA_%D0%B5%D0%BB%D0%B5%D0%BC%D0%B5%D0%BD%D1%82_%D0%B5%D0%BB%D0%B5%D0%BA%D1%82%D1%80%D0%BE%D0%BD%D0%BD%D0%BE%D1%97_%D0%B4%D0%B5%D0%BC%D0%BE%D0%BA%D1%80%D0%B0%D1%82%D1%96%D1%97?f_ri=422","dom_id":"work_32955339","summary":"In the article the use of information technologies in an electoral process as an element of electronic democracy is investigated. Considerable attention is spared to realization of agitation over the Internet or mobile communication.","downloadable_attachments":[{"id":53083166,"asset_id":32955339,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":11861803,"first_name":"Solomia","last_name":"Fedushko","domain_name":"lp","page_name":"SolomiaFedushko","display_name":"Solomia Fedushko","profile_url":"https://lp.academia.edu/SolomiaFedushko?f_ri=422","photo":"https://0.academia-photos.com/11861803/4508624/11802683/s65_solomia.fedushko.jpg"},{"id":63602285,"first_name":"ICS","last_name":"Conference","domain_name":"lp","page_name":"ICSConference","display_name":"ICS Conference","profile_url":"https://lp.academia.edu/ICSConference?f_ri=422","photo":"https://0.academia-photos.com/63602285/16510559/16849110/s65_ics.conference.jpg"}],"research_interests":[{"id":422,"name":"Computer Science","url":"https://www.academia.edu/Documents/in/Computer_Science?f_ri=422","nofollow":true},{"id":491,"name":"Information Technology","url":"https://www.academia.edu/Documents/in/Information_Technology?f_ri=422","nofollow":true},{"id":859,"name":"Communication","url":"https://www.academia.edu/Documents/in/Communication?f_ri=422","nofollow":true},{"id":1237,"name":"Social Sciences","url":"https://www.academia.edu/Documents/in/Social_Sciences?f_ri=422","nofollow":true}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_82106019" data-work_id="82106019" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/82106019/BCIAUT_P300_A_Multi_Session_and_Multi_Subject_Benchmark_Dataset_on_Autism_for_P300_Based_Brain_Computer_Interfaces">BCIAUT-P300: A Multi-Session and Multi-Subject Benchmark Dataset on Autism for P300-Based Brain-Computer-Interfaces</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">There is a lack of multi-session P300 datasets for Brain-Computer Interfaces (BCI). Publicly available datasets are usually limited by small number of participants with few BCI sessions. In this sense, the lack of large, comprehensive... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_82106019" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">There is a lack of multi-session P300 datasets for Brain-Computer Interfaces (BCI). Publicly available datasets are usually limited by small number of participants with few BCI sessions. In this sense, the lack of large, comprehensive datasets with various individuals and multiple sessions has limited advances in the development of more effective data processing and analysis methods for BCI systems. This is particularly evident to explore the feasibility of deep learning methods that require large datasets. Here we present the BCIAUT-P300 dataset, containing 15 autism spectrum disorder individuals undergoing 7 sessions of P300-based BCI joint-attention training, for a total of 105 sessions. The dataset was used for the 2019 IFMBE Scientific Challenge organized during MEDICON 2019 where, in two phases, teams from all over the world tried to achieve the best possible object-detection accuracy based on the P300 signals. This paper presents the characteristics of the dataset and the approaches followed by the 9 finalist teams during the competition. The winner obtained an average accuracy of 92.3% with a convolutional neural network based on EEGNet. The dataset is now publicly released and stands as a benchmark for future P300-based BCI algorithms based on multiple session data.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/82106019" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="8b79b30a65b21c225d2012c319844359" rel="nofollow" data-download="{"attachment_id":87918535,"asset_id":82106019,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/87918535/download_file?st=MTczODMyMzE5MSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="420632" href="https://triestearchitettura.academia.edu/miladinovic">Aleksandar Miladinović</a><script data-card-contents-for-user="420632" type="text/json">{"id":420632,"first_name":"Aleksandar","last_name":"Miladinović","domain_name":"triestearchitettura","page_name":"miladinovic","display_name":"Aleksandar Miladinović","profile_url":"https://triestearchitettura.academia.edu/miladinovic?f_ri=422","photo":"https://0.academia-photos.com/420632/108600/36758149/s65_aleksandar.miladinovi_.jpg"}</script></span></span></li><li class="js-paper-rank-work_82106019 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="82106019"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 82106019, container: ".js-paper-rank-work_82106019", }); });</script></li><li class="js-percentile-work_82106019 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 82106019; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_82106019"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_82106019 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="82106019"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 82106019; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=82106019]").text(description); $(".js-view-count-work_82106019").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_82106019").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="82106019"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">9</a>  </div><span class="InlineList-item-text u-textTruncate u-pl9x"><a class="InlineList-item-text" data-has-card-for-ri="237" rel="nofollow" href="https://www.academia.edu/Documents/in/Cognitive_Science">Cognitive Science</a>, <script data-card-contents-for-ri="237" type="text/json">{"id":237,"name":"Cognitive Science","url":"https://www.academia.edu/Documents/in/Cognitive_Science?f_ri=422","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="422" rel="nofollow" href="https://www.academia.edu/Documents/in/Computer_Science">Computer Science</a>, <script data-card-contents-for-ri="422" type="text/json">{"id":422,"name":"Computer Science","url":"https://www.academia.edu/Documents/in/Computer_Science?f_ri=422","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="10402" rel="nofollow" href="https://www.academia.edu/Documents/in/EEG">EEG</a>, <script data-card-contents-for-ri="10402" type="text/json">{"id":10402,"name":"EEG","url":"https://www.academia.edu/Documents/in/EEG?f_ri=422","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="11880" rel="nofollow" href="https://www.academia.edu/Documents/in/Brain_Computer_Interface">Brain Computer Interface</a><script data-card-contents-for-ri="11880" type="text/json">{"id":11880,"name":"Brain Computer Interface","url":"https://www.academia.edu/Documents/in/Brain_Computer_Interface?f_ri=422","nofollow":true}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=82106019]'), work: {"id":82106019,"title":"BCIAUT-P300: A Multi-Session and Multi-Subject Benchmark Dataset on Autism for P300-Based Brain-Computer-Interfaces","created_at":"2022-06-23T08:30:20.579-07:00","url":"https://www.academia.edu/82106019/BCIAUT_P300_A_Multi_Session_and_Multi_Subject_Benchmark_Dataset_on_Autism_for_P300_Based_Brain_Computer_Interfaces?f_ri=422","dom_id":"work_82106019","summary":"There is a lack of multi-session P300 datasets for Brain-Computer Interfaces (BCI). Publicly available datasets are usually limited by small number of participants with few BCI sessions. In this sense, the lack of large, comprehensive datasets with various individuals and multiple sessions has limited advances in the development of more effective data processing and analysis methods for BCI systems. This is particularly evident to explore the feasibility of deep learning methods that require large datasets. Here we present the BCIAUT-P300 dataset, containing 15 autism spectrum disorder individuals undergoing 7 sessions of P300-based BCI joint-attention training, for a total of 105 sessions. The dataset was used for the 2019 IFMBE Scientific Challenge organized during MEDICON 2019 where, in two phases, teams from all over the world tried to achieve the best possible object-detection accuracy based on the P300 signals. This paper presents the characteristics of the dataset and the approaches followed by the 9 finalist teams during the competition. The winner obtained an average accuracy of 92.3% with a convolutional neural network based on EEGNet. The dataset is now publicly released and stands as a benchmark for future P300-based BCI algorithms based on multiple session data.","downloadable_attachments":[{"id":87918535,"asset_id":82106019,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":420632,"first_name":"Aleksandar","last_name":"Miladinović","domain_name":"triestearchitettura","page_name":"miladinovic","display_name":"Aleksandar Miladinović","profile_url":"https://triestearchitettura.academia.edu/miladinovic?f_ri=422","photo":"https://0.academia-photos.com/420632/108600/36758149/s65_aleksandar.miladinovi_.jpg"}],"research_interests":[{"id":237,"name":"Cognitive Science","url":"https://www.academia.edu/Documents/in/Cognitive_Science?f_ri=422","nofollow":true},{"id":422,"name":"Computer Science","url":"https://www.academia.edu/Documents/in/Computer_Science?f_ri=422","nofollow":true},{"id":10402,"name":"EEG","url":"https://www.academia.edu/Documents/in/EEG?f_ri=422","nofollow":true},{"id":11880,"name":"Brain Computer Interface","url":"https://www.academia.edu/Documents/in/Brain_Computer_Interface?f_ri=422","nofollow":true},{"id":26327,"name":"Medicine","url":"https://www.academia.edu/Documents/in/Medicine?f_ri=422"},{"id":234882,"name":"Autism Spectrum Disorder","url":"https://www.academia.edu/Documents/in/Autism_Spectrum_Disorder?f_ri=422"},{"id":1187634,"name":"P","url":"https://www.academia.edu/Documents/in/P?f_ri=422"},{"id":1239755,"name":"Neurosciences","url":"https://www.academia.edu/Documents/in/Neurosciences?f_ri=422"},{"id":3984778,"name":"Benchmark dataset","url":"https://www.academia.edu/Documents/in/Benchmark_dataset?f_ri=422"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_75487500" data-work_id="75487500" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/75487500/Neighborhood_based_fast_graph_search_in_large_networks">Neighborhood based fast graph search in large networks</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">Complex social and information network search becomes important with a variety of applications. In the core of these applications, lies a common and critical problem: Given a labeled network and a query graph, how to efficiently search... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_75487500" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Complex social and information network search becomes important with a variety of applications. In the core of these applications, lies a common and critical problem: Given a labeled network and a query graph, how to efficiently search the query graph in the target network. The presence of noise and the incomplete knowledge about the structure and content of the target network make it unrealistic to find an exact match. Rather, it is more appealing to find the top-k approximate matches. In this paper, we propose a neighborhood-based similarity measure that could avoid costly graph isomorphism and edit distance computation. Under this new measure, we prove that subgraph similarity search is NP hard, while graph similarity match is polynomial. By studying the principles behind this measure, we found an information propagation model that is able to convert a large network into a set of multidimensional vectors, where sophisticated indexing and similarity search algorithms are available. The proposed method, called Ness (Neighborhood Based Similarity Search), is appropriate for graphs with low automorphism and high noise, which are common in many social and information networks. Ness is not only efficient, but also robust against structural noise and information loss. Empirical results show that it can quickly and accurately find high-quality matches in large networks, with negligible cost.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/75487500" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="b08200fdd2afe6aaebe008eaf07f218c" rel="nofollow" data-download="{"attachment_id":83237077,"asset_id":75487500,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/83237077/download_file?st=MTczODMyMzE5MSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="172566960" href="https://xidian.academia.edu/ZiyuGuan">Ziyu Guan</a><script data-card-contents-for-user="172566960" type="text/json">{"id":172566960,"first_name":"Ziyu","last_name":"Guan","domain_name":"xidian","page_name":"ZiyuGuan","display_name":"Ziyu Guan","profile_url":"https://xidian.academia.edu/ZiyuGuan?f_ri=422","photo":"/images/s65_no_pic.png"}</script></span></span></li><li class="js-paper-rank-work_75487500 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="75487500"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 75487500, container: ".js-paper-rank-work_75487500", }); });</script></li><li class="js-percentile-work_75487500 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 75487500; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_75487500"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_75487500 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="75487500"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 75487500; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=75487500]").text(description); $(".js-view-count-work_75487500").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_75487500").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="75487500"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">10</a>  </div><span class="InlineList-item-text u-textTruncate u-pl10x"><a class="InlineList-item-text" data-has-card-for-ri="422" rel="nofollow" href="https://www.academia.edu/Documents/in/Computer_Science">Computer Science</a>, <script data-card-contents-for-ri="422" type="text/json">{"id":422,"name":"Computer Science","url":"https://www.academia.edu/Documents/in/Computer_Science?f_ri=422","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="428" rel="nofollow" href="https://www.academia.edu/Documents/in/Algorithms">Algorithms</a>, <script data-card-contents-for-ri="428" type="text/json">{"id":428,"name":"Algorithms","url":"https://www.academia.edu/Documents/in/Algorithms?f_ri=422","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="9043" rel="nofollow" href="https://www.academia.edu/Documents/in/Performance">Performance</a>, <script data-card-contents-for-ri="9043" type="text/json">{"id":9043,"name":"Performance","url":"https://www.academia.edu/Documents/in/Performance?f_ri=422","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="100652" rel="nofollow" href="https://www.academia.edu/Documents/in/RDF">RDF</a><script data-card-contents-for-ri="100652" type="text/json">{"id":100652,"name":"RDF","url":"https://www.academia.edu/Documents/in/RDF?f_ri=422","nofollow":true}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=75487500]'), work: {"id":75487500,"title":"Neighborhood based fast graph search in large networks","created_at":"2022-04-04T22:55:38.242-07:00","url":"https://www.academia.edu/75487500/Neighborhood_based_fast_graph_search_in_large_networks?f_ri=422","dom_id":"work_75487500","summary":"Complex social and information network search becomes important with a variety of applications. In the core of these applications, lies a common and critical problem: Given a labeled network and a query graph, how to efficiently search the query graph in the target network. The presence of noise and the incomplete knowledge about the structure and content of the target network make it unrealistic to find an exact match. Rather, it is more appealing to find the top-k approximate matches. In this paper, we propose a neighborhood-based similarity measure that could avoid costly graph isomorphism and edit distance computation. Under this new measure, we prove that subgraph similarity search is NP hard, while graph similarity match is polynomial. By studying the principles behind this measure, we found an information propagation model that is able to convert a large network into a set of multidimensional vectors, where sophisticated indexing and similarity search algorithms are available. The proposed method, called Ness (Neighborhood Based Similarity Search), is appropriate for graphs with low automorphism and high noise, which are common in many social and information networks. Ness is not only efficient, but also robust against structural noise and information loss. Empirical results show that it can quickly and accurately find high-quality matches in large networks, with negligible cost.","downloadable_attachments":[{"id":83237077,"asset_id":75487500,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":172566960,"first_name":"Ziyu","last_name":"Guan","domain_name":"xidian","page_name":"ZiyuGuan","display_name":"Ziyu Guan","profile_url":"https://xidian.academia.edu/ZiyuGuan?f_ri=422","photo":"/images/s65_no_pic.png"}],"research_interests":[{"id":422,"name":"Computer Science","url":"https://www.academia.edu/Documents/in/Computer_Science?f_ri=422","nofollow":true},{"id":428,"name":"Algorithms","url":"https://www.academia.edu/Documents/in/Algorithms?f_ri=422","nofollow":true},{"id":9043,"name":"Performance","url":"https://www.academia.edu/Documents/in/Performance?f_ri=422","nofollow":true},{"id":100652,"name":"RDF","url":"https://www.academia.edu/Documents/in/RDF?f_ri=422","nofollow":true},{"id":163279,"name":"Similarity Search","url":"https://www.academia.edu/Documents/in/Similarity_Search?f_ri=422"},{"id":247452,"name":"Information Loss","url":"https://www.academia.edu/Documents/in/Information_Loss?f_ri=422"},{"id":788501,"name":"Edit Distance","url":"https://www.academia.edu/Documents/in/Edit_Distance?f_ri=422"},{"id":1991636,"name":"Graph Search","url":"https://www.academia.edu/Documents/in/Graph_Search?f_ri=422"},{"id":1993469,"name":"Graph Isomorphism","url":"https://www.academia.edu/Documents/in/Graph_Isomorphism?f_ri=422"},{"id":2593229,"name":"Information network","url":"https://www.academia.edu/Documents/in/Information_network?f_ri=422"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_79819109" data-work_id="79819109" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/79819109/Leveraging_explainable_machine_learning_to_identify_gait_biomechanical_parameters_associated_with_anterior_cruciate_ligament_injury">Leveraging explainable machine learning to identify gait biomechanical parameters associated with anterior cruciate ligament injury</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">Anterior cruciate ligament (ACL) deficient and reconstructed knees display altered biomechanics during gait. Identifying significant gait changes is important for understanding normal and ACL function and is typically performed by... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_79819109" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Anterior cruciate ligament (ACL) deficient and reconstructed knees display altered biomechanics during gait. Identifying significant gait changes is important for understanding normal and ACL function and is typically performed by statistical approaches. This paper focuses on the development of an explainable machine learning (ML) empowered methodology to: (i) identify important gait kinematic, kinetic parameters and quantify their contribution in the diagnosis of ACL injury and (ii) investigate the differences in sagittal plane kinematics and kinetics of the gait cycle between ACL deficient, ACL reconstructed and healthy individuals. For this aim, an extensive experimental setup was designed in which three-dimensional ground reaction forces and sagittal plane kinematic as well as kinetic parameters were collected from 151 subjects. The effectiveness of the proposed methodology was evaluated using a comparative analysis with eight well-known classifiers. Support Vector Machines were...</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/79819109" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="438e58d283c7f177d663d26ce7361b0f" rel="nofollow" data-download="{"attachment_id":86405509,"asset_id":79819109,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/86405509/download_file?st=MTczODMyMzE5MSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="7153268" href="https://uth.academia.edu/ThemistoklisTsatalas">Themistoklis Tsatalas</a><script data-card-contents-for-user="7153268" type="text/json">{"id":7153268,"first_name":"Themistoklis","last_name":"Tsatalas","domain_name":"uth","page_name":"ThemistoklisTsatalas","display_name":"Themistoklis Tsatalas","profile_url":"https://uth.academia.edu/ThemistoklisTsatalas?f_ri=422","photo":"https://0.academia-photos.com/7153268/5472320/6238099/s65_themis.tsatalas.jpg_oh_fda9273c9727fd2fa2953b9cf1edf2e9_oe_54ac645d___gda___1420891173_06cd80612e15d71ad0082b35a180eae4"}</script></span></span></li><li class="js-paper-rank-work_79819109 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="79819109"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 79819109, container: ".js-paper-rank-work_79819109", }); });</script></li><li class="js-percentile-work_79819109 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 79819109; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_79819109"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_79819109 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="79819109"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 79819109; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=79819109]").text(description); $(".js-view-count-work_79819109").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_79819109").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="79819109"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">9</a>  </div><span class="InlineList-item-text u-textTruncate u-pl9x"><a class="InlineList-item-text" data-has-card-for-ri="422" rel="nofollow" href="https://www.academia.edu/Documents/in/Computer_Science">Computer Science</a>, <script data-card-contents-for-ri="422" type="text/json">{"id":422,"name":"Computer Science","url":"https://www.academia.edu/Documents/in/Computer_Science?f_ri=422","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="3132" rel="nofollow" href="https://www.academia.edu/Documents/in/Biomechanics">Biomechanics</a>, <script data-card-contents-for-ri="3132" type="text/json">{"id":3132,"name":"Biomechanics","url":"https://www.academia.edu/Documents/in/Biomechanics?f_ri=422","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="32001" rel="nofollow" href="https://www.academia.edu/Documents/in/Physical_Medicine_and_Rehabilitation">Physical Medicine and Rehabilitation</a>, <script data-card-contents-for-ri="32001" type="text/json">{"id":32001,"name":"Physical Medicine and Rehabilitation","url":"https://www.academia.edu/Documents/in/Physical_Medicine_and_Rehabilitation?f_ri=422","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="48627" rel="nofollow" href="https://www.academia.edu/Documents/in/Anterior_Cruciate_Ligament">Anterior Cruciate Ligament</a><script data-card-contents-for-ri="48627" type="text/json">{"id":48627,"name":"Anterior Cruciate Ligament","url":"https://www.academia.edu/Documents/in/Anterior_Cruciate_Ligament?f_ri=422","nofollow":true}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=79819109]'), work: {"id":79819109,"title":"Leveraging explainable machine learning to identify gait biomechanical parameters associated with anterior cruciate ligament injury","created_at":"2022-05-24T05:31:45.847-07:00","url":"https://www.academia.edu/79819109/Leveraging_explainable_machine_learning_to_identify_gait_biomechanical_parameters_associated_with_anterior_cruciate_ligament_injury?f_ri=422","dom_id":"work_79819109","summary":"Anterior cruciate ligament (ACL) deficient and reconstructed knees display altered biomechanics during gait. Identifying significant gait changes is important for understanding normal and ACL function and is typically performed by statistical approaches. This paper focuses on the development of an explainable machine learning (ML) empowered methodology to: (i) identify important gait kinematic, kinetic parameters and quantify their contribution in the diagnosis of ACL injury and (ii) investigate the differences in sagittal plane kinematics and kinetics of the gait cycle between ACL deficient, ACL reconstructed and healthy individuals. For this aim, an extensive experimental setup was designed in which three-dimensional ground reaction forces and sagittal plane kinematic as well as kinetic parameters were collected from 151 subjects. The effectiveness of the proposed methodology was evaluated using a comparative analysis with eight well-known classifiers. Support Vector Machines were...","downloadable_attachments":[{"id":86405509,"asset_id":79819109,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":7153268,"first_name":"Themistoklis","last_name":"Tsatalas","domain_name":"uth","page_name":"ThemistoklisTsatalas","display_name":"Themistoklis Tsatalas","profile_url":"https://uth.academia.edu/ThemistoklisTsatalas?f_ri=422","photo":"https://0.academia-photos.com/7153268/5472320/6238099/s65_themis.tsatalas.jpg_oh_fda9273c9727fd2fa2953b9cf1edf2e9_oe_54ac645d___gda___1420891173_06cd80612e15d71ad0082b35a180eae4"}],"research_interests":[{"id":422,"name":"Computer Science","url":"https://www.academia.edu/Documents/in/Computer_Science?f_ri=422","nofollow":true},{"id":3132,"name":"Biomechanics","url":"https://www.academia.edu/Documents/in/Biomechanics?f_ri=422","nofollow":true},{"id":32001,"name":"Physical Medicine and Rehabilitation","url":"https://www.academia.edu/Documents/in/Physical_Medicine_and_Rehabilitation?f_ri=422","nofollow":true},{"id":48627,"name":"Anterior Cruciate Ligament","url":"https://www.academia.edu/Documents/in/Anterior_Cruciate_Ligament?f_ri=422","nofollow":true},{"id":60256,"name":"Gait","url":"https://www.academia.edu/Documents/in/Gait?f_ri=422"},{"id":81812,"name":"Gait Analysis","url":"https://www.academia.edu/Documents/in/Gait_Analysis?f_ri=422"},{"id":90162,"name":"Kinematics","url":"https://www.academia.edu/Documents/in/Kinematics?f_ri=422"},{"id":184618,"name":"ACL injury","url":"https://www.academia.edu/Documents/in/ACL_injury?f_ri=422"},{"id":337498,"name":"Ground Reaction Force","url":"https://www.academia.edu/Documents/in/Ground_Reaction_Force?f_ri=422"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_74523709" data-work_id="74523709" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/74523709/Facebook_usage_by_students_in_higher_education">Facebook usage by students in higher education</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">In this paper I measure first year student Facebook usage as part of a broader PhD study into the influence of social media usage on the success of students in higher education. A total of 906 students were asked to complete 3 surveys on... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_74523709" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">In this paper I measure first year student Facebook usage as part of a broader PhD study into the influence of social media usage on the success of students in higher education. A total of 906 students were asked to complete 3 surveys on Facebook usage with their peers, for two consecutive years (2011-2012 and 2012-2013). The different purposes for Facebook usage, in addition to whether or not students used (self-created) Facebook-groups, were measured and the relationship between the use of pages compared to the purpose of Facebook usage. This resulted in significant correlations between the purpose of Facebook usage and the use of different pages, as well as correlations between the purpose and use of different pages. This study hereby explores the variances in student Facebook usage and provides valuable insight into the potential value of Facebook for students in an educational setting, without the interference of teachers. It is also the next logical step in revising existing i...</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/74523709" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="c76ad1fb092ae1b34d5435ef57988857" rel="nofollow" data-download="{"attachment_id":82645391,"asset_id":74523709,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/82645391/download_file?st=MTczODMyMzE5MSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="15683762" href="https://hvadoo.academia.edu/nathaliewesseling">Nathalie Wesseling</a><script data-card-contents-for-user="15683762" type="text/json">{"id":15683762,"first_name":"Nathalie","last_name":"Wesseling","domain_name":"hvadoo","page_name":"nathaliewesseling","display_name":"Nathalie Wesseling","profile_url":"https://hvadoo.academia.edu/nathaliewesseling?f_ri=422","photo":"https://0.academia-photos.com/15683762/19422259/19339996/s65_nathalie.wesseling.jpg"}</script></span></span></li><li class="js-paper-rank-work_74523709 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="74523709"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 74523709, container: ".js-paper-rank-work_74523709", }); });</script></li><li class="js-percentile-work_74523709 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 74523709; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_74523709"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_74523709 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="74523709"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 74523709; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=74523709]").text(description); $(".js-view-count-work_74523709").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_74523709").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="74523709"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">5</a>  </div><span class="InlineList-item-text u-textTruncate u-pl9x"><a class="InlineList-item-text" data-has-card-for-ri="422" rel="nofollow" href="https://www.academia.edu/Documents/in/Computer_Science">Computer Science</a>, <script data-card-contents-for-ri="422" type="text/json">{"id":422,"name":"Computer Science","url":"https://www.academia.edu/Documents/in/Computer_Science?f_ri=422","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="1237" rel="nofollow" href="https://www.academia.edu/Documents/in/Social_Sciences">Social Sciences</a>, <script data-card-contents-for-ri="1237" type="text/json">{"id":1237,"name":"Social Sciences","url":"https://www.academia.edu/Documents/in/Social_Sciences?f_ri=422","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="2621" rel="nofollow" href="https://www.academia.edu/Documents/in/Higher_Education">Higher Education</a>, <script data-card-contents-for-ri="2621" type="text/json">{"id":2621,"name":"Higher Education","url":"https://www.academia.edu/Documents/in/Higher_Education?f_ri=422","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="9246" rel="nofollow" href="https://www.academia.edu/Documents/in/Social_Media">Social Media</a><script data-card-contents-for-ri="9246" type="text/json">{"id":9246,"name":"Social Media","url":"https://www.academia.edu/Documents/in/Social_Media?f_ri=422","nofollow":true}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=74523709]'), work: {"id":74523709,"title":"Facebook usage by students in higher education","created_at":"2022-03-25T01:29:28.132-07:00","url":"https://www.academia.edu/74523709/Facebook_usage_by_students_in_higher_education?f_ri=422","dom_id":"work_74523709","summary":"In this paper I measure first year student Facebook usage as part of a broader PhD study into the influence of social media usage on the success of students in higher education. A total of 906 students were asked to complete 3 surveys on Facebook usage with their peers, for two consecutive years (2011-2012 and 2012-2013). The different purposes for Facebook usage, in addition to whether or not students used (self-created) Facebook-groups, were measured and the relationship between the use of pages compared to the purpose of Facebook usage. This resulted in significant correlations between the purpose of Facebook usage and the use of different pages, as well as correlations between the purpose and use of different pages. This study hereby explores the variances in student Facebook usage and provides valuable insight into the potential value of Facebook for students in an educational setting, without the interference of teachers. It is also the next logical step in revising existing i...","downloadable_attachments":[{"id":82645391,"asset_id":74523709,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":15683762,"first_name":"Nathalie","last_name":"Wesseling","domain_name":"hvadoo","page_name":"nathaliewesseling","display_name":"Nathalie Wesseling","profile_url":"https://hvadoo.academia.edu/nathaliewesseling?f_ri=422","photo":"https://0.academia-photos.com/15683762/19422259/19339996/s65_nathalie.wesseling.jpg"}],"research_interests":[{"id":422,"name":"Computer Science","url":"https://www.academia.edu/Documents/in/Computer_Science?f_ri=422","nofollow":true},{"id":1237,"name":"Social Sciences","url":"https://www.academia.edu/Documents/in/Social_Sciences?f_ri=422","nofollow":true},{"id":2621,"name":"Higher Education","url":"https://www.academia.edu/Documents/in/Higher_Education?f_ri=422","nofollow":true},{"id":9246,"name":"Social Media","url":"https://www.academia.edu/Documents/in/Social_Media?f_ri=422","nofollow":true},{"id":103108,"name":"Headache","url":"https://www.academia.edu/Documents/in/Headache?f_ri=422"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_81312453 coauthored" data-work_id="81312453" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" rel="nofollow" href="https://www.academia.edu/81312453/Designing_a_High_Performance_Deep_Learning_Theoretical_Model_for_Biomedical_Image_Segmentation_by_Using_Key_Elements_of_the_Latest_U_Net_Based_Architectures">Designing a High-Performance Deep Learning Theoretical Model for Biomedical Image Segmentation by Using Key Elements of the Latest U-Net-Based Architectures</a></div></div><div class="u-pb4x u-mt3x"></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/81312453" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="b85d3004992ce9271527e8053944849f" rel="nofollow" data-download="{"attachment_id":87400007,"asset_id":81312453,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/87400007/download_file?st=MTczODMyMzE5MSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="197471801" rel="nofollow" href="https://umfiasi.academia.edu/TudorFlorinUrsuleanu">Tudor Florin Ursuleanu</a><script data-card-contents-for-user="197471801" type="text/json">{"id":197471801,"first_name":"Tudor Florin","last_name":"Ursuleanu","domain_name":"umfiasi","page_name":"TudorFlorinUrsuleanu","display_name":"Tudor Florin Ursuleanu","profile_url":"https://umfiasi.academia.edu/TudorFlorinUrsuleanu?f_ri=422","photo":"https://0.academia-photos.com/197471801/59894774/48192745/s65_tudor_florin.ursuleanu.jpg"}</script></span></span><span class="u-displayInlineBlock InlineList-item-text"> and <span class="u-textDecorationUnderline u-clickable InlineList-item-text js-work-more-authors-81312453">+1</span><div class="hidden js-additional-users-81312453"><div><span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a rel="nofollow" href="https://wwwmumfiasi.academia.edu/LilianaGheorghe">Liliana Gheorghe</a></span></div></div></span><script>(function(){ var popoverSettings = { el: $('.js-work-more-authors-81312453'), placement: 'bottom', hide_delay: 200, html: true, content: function(){ return $('.js-additional-users-81312453').html(); } } new HoverPopover(popoverSettings); })();</script></li><li class="js-paper-rank-work_81312453 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="81312453"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 81312453, container: ".js-paper-rank-work_81312453", }); });</script></li><li class="js-percentile-work_81312453 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 81312453; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_81312453"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_81312453 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="81312453"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 81312453; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=81312453]").text(description); $(".js-view-count-work_81312453").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_81312453").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="81312453"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">11</a>  </div><span class="InlineList-item-text u-textTruncate u-pl10x"><a class="InlineList-item-text" data-has-card-for-ri="422" rel="nofollow" href="https://www.academia.edu/Documents/in/Computer_Science">Computer Science</a>, <script data-card-contents-for-ri="422" type="text/json">{"id":422,"name":"Computer Science","url":"https://www.academia.edu/Documents/in/Computer_Science?f_ri=422","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="465" rel="nofollow" href="https://www.academia.edu/Documents/in/Artificial_Intelligence">Artificial Intelligence</a>, <script data-card-contents-for-ri="465" type="text/json">{"id":465,"name":"Artificial Intelligence","url":"https://www.academia.edu/Documents/in/Artificial_Intelligence?f_ri=422","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="647" rel="nofollow" href="https://www.academia.edu/Documents/in/Surgery">Surgery</a>, <script data-card-contents-for-ri="647" type="text/json">{"id":647,"name":"Surgery","url":"https://www.academia.edu/Documents/in/Surgery?f_ri=422","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="9351" rel="nofollow" href="https://www.academia.edu/Documents/in/Image_Analysis">Image Analysis</a><script data-card-contents-for-ri="9351" type="text/json">{"id":9351,"name":"Image Analysis","url":"https://www.academia.edu/Documents/in/Image_Analysis?f_ri=422","nofollow":true}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=81312453]'), work: {"id":81312453,"title":"Designing a High-Performance Deep Learning Theoretical Model for Biomedical Image Segmentation by Using Key Elements of the Latest U-Net-Based Architectures","created_at":"2022-06-12T10:30:03.278-07:00","url":"https://www.academia.edu/81312453/Designing_a_High_Performance_Deep_Learning_Theoretical_Model_for_Biomedical_Image_Segmentation_by_Using_Key_Elements_of_the_Latest_U_Net_Based_Architectures?f_ri=422","dom_id":"work_81312453","summary":null,"downloadable_attachments":[{"id":87400007,"asset_id":81312453,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":197471801,"first_name":"Tudor Florin","last_name":"Ursuleanu","domain_name":"umfiasi","page_name":"TudorFlorinUrsuleanu","display_name":"Tudor Florin Ursuleanu","profile_url":"https://umfiasi.academia.edu/TudorFlorinUrsuleanu?f_ri=422","photo":"https://0.academia-photos.com/197471801/59894774/48192745/s65_tudor_florin.ursuleanu.jpg"},{"id":43144687,"first_name":"Liliana","last_name":"Gheorghe","domain_name":"wwwmumfiasi","page_name":"LilianaGheorghe","display_name":"Liliana Gheorghe","profile_url":"https://wwwmumfiasi.academia.edu/LilianaGheorghe?f_ri=422","photo":"https://0.academia-photos.com/43144687/52904611/41023002/s65_liliana.gheorghe.jpeg"}],"research_interests":[{"id":422,"name":"Computer Science","url":"https://www.academia.edu/Documents/in/Computer_Science?f_ri=422","nofollow":true},{"id":465,"name":"Artificial Intelligence","url":"https://www.academia.edu/Documents/in/Artificial_Intelligence?f_ri=422","nofollow":true},{"id":647,"name":"Surgery","url":"https://www.academia.edu/Documents/in/Surgery?f_ri=422","nofollow":true},{"id":9351,"name":"Image Analysis","url":"https://www.academia.edu/Documents/in/Image_Analysis?f_ri=422","nofollow":true},{"id":40458,"name":"General Surgery","url":"https://www.academia.edu/Documents/in/General_Surgery?f_ri=422"},{"id":54123,"name":"Artificial Neural Networks","url":"https://www.academia.edu/Documents/in/Artificial_Neural_Networks?f_ri=422"},{"id":81182,"name":"Deep Learning","url":"https://www.academia.edu/Documents/in/Deep_Learning?f_ri=422"},{"id":90763,"name":"Computer Communications","url":"https://www.academia.edu/Documents/in/Computer_Communications?f_ri=422"},{"id":93217,"name":"Segmentation","url":"https://www.academia.edu/Documents/in/Segmentation?f_ri=422"},{"id":195979,"name":"Colposcopy","url":"https://www.academia.edu/Documents/in/Colposcopy?f_ri=422"},{"id":339107,"name":"Gynecology","url":"https://www.academia.edu/Documents/in/Gynecology?f_ri=422"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_67200148" data-work_id="67200148" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/67200148/IAB_recommended_policy_on_distributing_internet_identifier_assignment_and_IAB_recommended_policy_change_to_internet_connected_status">IAB recommended policy on distributing internet identifier assignment and IAB recommended policy change to internet "connected" status</a></div></div><div class="u-pb4x u-mt3x"></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/67200148" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="18b3e66d218afd269b8ed04acc835218" rel="nofollow" data-download="{"attachment_id":78107039,"asset_id":67200148,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/78107039/download_file?st=MTczODMyMzE5MSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="10847291" href="https://independent.academia.edu/vintcerf">vint cerf</a><script data-card-contents-for-user="10847291" type="text/json">{"id":10847291,"first_name":"vint","last_name":"cerf","domain_name":"independent","page_name":"vintcerf","display_name":"vint cerf","profile_url":"https://independent.academia.edu/vintcerf?f_ri=422","photo":"/images/s65_no_pic.png"}</script></span></span></li><li class="js-paper-rank-work_67200148 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="67200148"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 67200148, container: ".js-paper-rank-work_67200148", }); });</script></li><li class="js-percentile-work_67200148 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 67200148; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_67200148"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_67200148 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="67200148"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 67200148; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=67200148]").text(description); $(".js-view-count-work_67200148").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_67200148").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="67200148"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">2</a>  </div><span class="InlineList-item-text u-textTruncate u-pl9x"><a class="InlineList-item-text" data-has-card-for-ri="422" rel="nofollow" href="https://www.academia.edu/Documents/in/Computer_Science">Computer Science</a>, <script data-card-contents-for-ri="422" type="text/json">{"id":422,"name":"Computer Science","url":"https://www.academia.edu/Documents/in/Computer_Science?f_ri=422","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="1344462" rel="nofollow" href="https://www.academia.edu/Documents/in/RFC">RFC</a><script data-card-contents-for-ri="1344462" type="text/json">{"id":1344462,"name":"RFC","url":"https://www.academia.edu/Documents/in/RFC?f_ri=422","nofollow":true}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=67200148]'), work: {"id":67200148,"title":"IAB recommended policy on distributing internet identifier assignment and IAB recommended policy change to internet \"connected\" status","created_at":"2022-01-05T01:36:40.000-08:00","url":"https://www.academia.edu/67200148/IAB_recommended_policy_on_distributing_internet_identifier_assignment_and_IAB_recommended_policy_change_to_internet_connected_status?f_ri=422","dom_id":"work_67200148","summary":null,"downloadable_attachments":[{"id":78107039,"asset_id":67200148,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":10847291,"first_name":"vint","last_name":"cerf","domain_name":"independent","page_name":"vintcerf","display_name":"vint cerf","profile_url":"https://independent.academia.edu/vintcerf?f_ri=422","photo":"/images/s65_no_pic.png"}],"research_interests":[{"id":422,"name":"Computer Science","url":"https://www.academia.edu/Documents/in/Computer_Science?f_ri=422","nofollow":true},{"id":1344462,"name":"RFC","url":"https://www.academia.edu/Documents/in/RFC?f_ri=422","nofollow":true}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_56643596" data-work_id="56643596" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/56643596/A_Proposed_Mining_Based_Business_Continuity_Information_System_for_Educational_Institutes">A Proposed Mining Based Business Continuity Information System for Educational Institutes</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">It has become an essential element for all organizations to be engaged in a more deliberate transform for prevention, protection, preparedness, mitigation and reaction to Business Continuity Management (BCM) and recovery. It is becoming... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_56643596" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">It has become an essential element for all organizations to be engaged in a more deliberate transform for prevention, protection, preparedness, mitigation and reaction to Business Continuity Management (BCM) and recovery. It is becoming risky for the organization to reply of disaster plan which targets to minimize the causes of the disruption. An organization should take a proactive approach to reduce the likelihood as well as the probability of the disruptions. It involves the development of advanced measures and actions that enable the organization to take action in such a way that the critical and essential functions of business could continue according to the predefined level of change and disruption. Recovering from disruptions is a challenge; it relies on an emergency response plan or uses disaster management strategies that were previously used. BCM is considered mandatory to provide a systematic approach towards crisis response in order to increase organizational resilience capability. It is necessarily required by the organization to protect its reputation, brand, value adding activities and stakeholders' interests. This paper proposes an intelligent framework that applies the business continuity management process on an educational institute which reveals the stakeholder awareness of the business continuity level in their organization. In order to successfully formulate the proposed framework, the research went through a set of phases. The research presented the whole process phases for developing the proposed framework which is based on applying the suitable technique in each phase to guarantee a suitable performance with ensuring the results' validity. The research used 93% confidence, Z = 1.98 with error margin E = 0.03 for sampling selection and the determined association were 94% confidence for 93 rules. Finally, the research discussed the recommendations for successful crisis management process with the support of intelligent techniques.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/56643596" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="ce54b07a7c09b92009b46fc404e74e33" rel="nofollow" data-download="{"attachment_id":71928940,"asset_id":56643596,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/71928940/download_file?st=MTczODMyMzE5MSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="119284217" href="https://independent.academia.edu/MayadaELMoaaz">Mayada EL Moaaz</a><script data-card-contents-for-user="119284217" type="text/json">{"id":119284217,"first_name":"Mayada","last_name":"EL Moaaz","domain_name":"independent","page_name":"MayadaELMoaaz","display_name":"Mayada EL Moaaz","profile_url":"https://independent.academia.edu/MayadaELMoaaz?f_ri=422","photo":"https://0.academia-photos.com/119284217/37674943/31792749/s65_mayada.el_moaaz.jpg"}</script></span></span></li><li class="js-paper-rank-work_56643596 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="56643596"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 56643596, container: ".js-paper-rank-work_56643596", }); });</script></li><li class="js-percentile-work_56643596 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 56643596; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_56643596"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_56643596 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="56643596"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 56643596; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=56643596]").text(description); $(".js-view-count-work_56643596").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_56643596").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="56643596"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i></div><span class="InlineList-item-text u-textTruncate u-pl6x"><a class="InlineList-item-text" data-has-card-for-ri="422" rel="nofollow" href="https://www.academia.edu/Documents/in/Computer_Science">Computer Science</a><script data-card-contents-for-ri="422" type="text/json">{"id":422,"name":"Computer Science","url":"https://www.academia.edu/Documents/in/Computer_Science?f_ri=422","nofollow":true}</script></span></li><script>(function(){ if (false) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=56643596]'), work: {"id":56643596,"title":"A Proposed Mining Based Business Continuity Information System for Educational Institutes","created_at":"2021-10-08T13:35:09.526-07:00","url":"https://www.academia.edu/56643596/A_Proposed_Mining_Based_Business_Continuity_Information_System_for_Educational_Institutes?f_ri=422","dom_id":"work_56643596","summary":"It has become an essential element for all organizations to be engaged in a more deliberate transform for prevention, protection, preparedness, mitigation and reaction to Business Continuity Management (BCM) and recovery. It is becoming risky for the organization to reply of disaster plan which targets to minimize the causes of the disruption. An organization should take a proactive approach to reduce the likelihood as well as the probability of the disruptions. It involves the development of advanced measures and actions that enable the organization to take action in such a way that the critical and essential functions of business could continue according to the predefined level of change and disruption. Recovering from disruptions is a challenge; it relies on an emergency response plan or uses disaster management strategies that were previously used. BCM is considered mandatory to provide a systematic approach towards crisis response in order to increase organizational resilience capability. It is necessarily required by the organization to protect its reputation, brand, value adding activities and stakeholders' interests. This paper proposes an intelligent framework that applies the business continuity management process on an educational institute which reveals the stakeholder awareness of the business continuity level in their organization. In order to successfully formulate the proposed framework, the research went through a set of phases. The research presented the whole process phases for developing the proposed framework which is based on applying the suitable technique in each phase to guarantee a suitable performance with ensuring the results' validity. The research used 93% confidence, Z = 1.98 with error margin E = 0.03 for sampling selection and the determined association were 94% confidence for 93 rules. Finally, the research discussed the recommendations for successful crisis management process with the support of intelligent techniques.","downloadable_attachments":[{"id":71928940,"asset_id":56643596,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":119284217,"first_name":"Mayada","last_name":"EL Moaaz","domain_name":"independent","page_name":"MayadaELMoaaz","display_name":"Mayada EL Moaaz","profile_url":"https://independent.academia.edu/MayadaELMoaaz?f_ri=422","photo":"https://0.academia-photos.com/119284217/37674943/31792749/s65_mayada.el_moaaz.jpg"}],"research_interests":[{"id":422,"name":"Computer Science","url":"https://www.academia.edu/Documents/in/Computer_Science?f_ri=422","nofollow":true}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_69751601" data-work_id="69751601" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/69751601/UsaWeb_A_model_for_usability_evaluation_web_interfaces">UsaWeb. A model for usability evaluation web interfaces</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">Resumo-A investigação aqui descrita explora a avaliação da usabilidade de interfaces de sítios Web sustentada nos fundamentos da IHC e apresenta um novo metamodelo universal de avaliação da usabilidade, designado por UsaWeb, aplicável a... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_69751601" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Resumo-A investigação aqui descrita explora a avaliação da usabilidade de interfaces de sítios Web sustentada nos fundamentos da IHC e apresenta um novo metamodelo universal de avaliação da usabilidade, designado por UsaWeb, aplicável a qualquer interface Web, sendo uma proposta completa e coerente que representa um novo paradigma de avaliação da usabilidade de interfaces Web.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/69751601" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="22c299118c920d788a3eaddc78f6d2c1" rel="nofollow" data-download="{"attachment_id":79726553,"asset_id":69751601,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/79726553/download_file?st=MTczODMyMzE5MSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="1063606" href="https://ipp.academia.edu/AnaAfonso">Ana Afonso</a><script data-card-contents-for-user="1063606" type="text/json">{"id":1063606,"first_name":"Ana","last_name":"Afonso","domain_name":"ipp","page_name":"AnaAfonso","display_name":"Ana Afonso","profile_url":"https://ipp.academia.edu/AnaAfonso?f_ri=422","photo":"https://0.academia-photos.com/1063606/5981307/34336571/s65_ana.afonso.jpg"}</script></span></span></li><li class="js-paper-rank-work_69751601 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="69751601"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 69751601, container: ".js-paper-rank-work_69751601", }); });</script></li><li class="js-percentile-work_69751601 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 69751601; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_69751601"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_69751601 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="69751601"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 69751601; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=69751601]").text(description); $(".js-view-count-work_69751601").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_69751601").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="69751601"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i></div><span class="InlineList-item-text u-textTruncate u-pl6x"><a class="InlineList-item-text" data-has-card-for-ri="422" rel="nofollow" href="https://www.academia.edu/Documents/in/Computer_Science">Computer Science</a><script data-card-contents-for-ri="422" type="text/json">{"id":422,"name":"Computer Science","url":"https://www.academia.edu/Documents/in/Computer_Science?f_ri=422","nofollow":true}</script></span></li><script>(function(){ if (false) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=69751601]'), work: {"id":69751601,"title":"UsaWeb. A model for usability evaluation web interfaces","created_at":"2022-01-28T01:58:54.851-08:00","url":"https://www.academia.edu/69751601/UsaWeb_A_model_for_usability_evaluation_web_interfaces?f_ri=422","dom_id":"work_69751601","summary":"Resumo-A investigação aqui descrita explora a avaliação da usabilidade de interfaces de sítios Web sustentada nos fundamentos da IHC e apresenta um novo metamodelo universal de avaliação da usabilidade, designado por UsaWeb, aplicável a qualquer interface Web, sendo uma proposta completa e coerente que representa um novo paradigma de avaliação da usabilidade de interfaces Web.","downloadable_attachments":[{"id":79726553,"asset_id":69751601,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":1063606,"first_name":"Ana","last_name":"Afonso","domain_name":"ipp","page_name":"AnaAfonso","display_name":"Ana Afonso","profile_url":"https://ipp.academia.edu/AnaAfonso?f_ri=422","photo":"https://0.academia-photos.com/1063606/5981307/34336571/s65_ana.afonso.jpg"}],"research_interests":[{"id":422,"name":"Computer Science","url":"https://www.academia.edu/Documents/in/Computer_Science?f_ri=422","nofollow":true}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_20851616" data-work_id="20851616" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/20851616/User_guide_for_NANO_STATION_2">User guide for NANO STATION 2</a></div></div><div class="u-pb4x u-mt3x"></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/20851616" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="fba362ac9a50c66312a06c659d2b9edf" rel="nofollow" data-download="{"attachment_id":41597974,"asset_id":20851616,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/41597974/download_file?st=MTczODMyMzE5MSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="42158757" href="https://independent.academia.edu/LeePunk">Punk Lee</a><script data-card-contents-for-user="42158757" type="text/json">{"id":42158757,"first_name":"Punk","last_name":"Lee","domain_name":"independent","page_name":"LeePunk","display_name":"Punk Lee","profile_url":"https://independent.academia.edu/LeePunk?f_ri=422","photo":"/images/s65_no_pic.png"}</script></span></span></li><li class="js-paper-rank-work_20851616 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="20851616"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 20851616, container: ".js-paper-rank-work_20851616", }); });</script></li><li class="js-percentile-work_20851616 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 20851616; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_20851616"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_20851616 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="20851616"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 20851616; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=20851616]").text(description); $(".js-view-count-work_20851616").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_20851616").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="20851616"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">3</a>  </div><span class="InlineList-item-text u-textTruncate u-pl9x"><a class="InlineList-item-text" data-has-card-for-ri="422" rel="nofollow" href="https://www.academia.edu/Documents/in/Computer_Science">Computer Science</a>, <script data-card-contents-for-ri="422" type="text/json">{"id":422,"name":"Computer Science","url":"https://www.academia.edu/Documents/in/Computer_Science?f_ri=422","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="1380" rel="nofollow" href="https://www.academia.edu/Documents/in/Computer_Engineering">Computer Engineering</a>, <script data-card-contents-for-ri="1380" type="text/json">{"id":1380,"name":"Computer Engineering","url":"https://www.academia.edu/Documents/in/Computer_Engineering?f_ri=422","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="2345" rel="nofollow" href="https://www.academia.edu/Documents/in/Wireless_Communications">Wireless Communications</a><script data-card-contents-for-ri="2345" type="text/json">{"id":2345,"name":"Wireless Communications","url":"https://www.academia.edu/Documents/in/Wireless_Communications?f_ri=422","nofollow":true}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=20851616]'), work: {"id":20851616,"title":"User guide for NANO STATION 2","created_at":"2016-01-26T14:42:45.027-08:00","url":"https://www.academia.edu/20851616/User_guide_for_NANO_STATION_2?f_ri=422","dom_id":"work_20851616","summary":null,"downloadable_attachments":[{"id":41597974,"asset_id":20851616,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":42158757,"first_name":"Punk","last_name":"Lee","domain_name":"independent","page_name":"LeePunk","display_name":"Punk Lee","profile_url":"https://independent.academia.edu/LeePunk?f_ri=422","photo":"/images/s65_no_pic.png"}],"research_interests":[{"id":422,"name":"Computer Science","url":"https://www.academia.edu/Documents/in/Computer_Science?f_ri=422","nofollow":true},{"id":1380,"name":"Computer Engineering","url":"https://www.academia.edu/Documents/in/Computer_Engineering?f_ri=422","nofollow":true},{"id":2345,"name":"Wireless Communications","url":"https://www.academia.edu/Documents/in/Wireless_Communications?f_ri=422","nofollow":true}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_77201529" data-work_id="77201529" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" rel="nofollow" href="https://www.academia.edu/77201529/Artificial_wisdom_a_philosophical_framework">Artificial wisdom: a philosophical framework</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">Human excellences such as intelligence, morality, and consciousness are investigated by philosophers as well as artificial intelligence researchers. One excellence that has not been widely discussed by AI researchers is practical wisdom,... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_77201529" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Human excellences such as intelligence, morality, and consciousness are investigated by philosophers as well as artificial intelligence researchers. One excellence that has not been widely discussed by AI researchers is practical wisdom, the highest human excellence, or the highest, seventh, stage in Dreyfus’s model of skill acquisition. In this paper, I explain why artificial wisdom matters and how artificial wisdom is possible (in principle and in practice) by responding to two philosophical challenges for building artificial wisdom systems. The result is a conceptual framework that guides future research on creating artificial wisdom.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/77201529" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="1561411" href="https://sinica.academia.edu/ChenghungTsai%E8%94%A1%E6%94%BF%E5%AE%8F">Cheng-hung Tsai (蔡政宏)</a><script data-card-contents-for-user="1561411" type="text/json">{"id":1561411,"first_name":"Cheng-hung","last_name":"Tsai (蔡政宏)","domain_name":"sinica","page_name":"ChenghungTsai蔡政宏","display_name":"Cheng-hung Tsai (蔡政宏)","profile_url":"https://sinica.academia.edu/ChenghungTsai%E8%94%A1%E6%94%BF%E5%AE%8F?f_ri=422","photo":"https://0.academia-photos.com/1561411/549675/14999808/s65_cheng-hung.tsai_.jpg"}</script></span></span></li><li class="js-paper-rank-work_77201529 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="77201529"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 77201529, container: ".js-paper-rank-work_77201529", }); });</script></li><li class="js-percentile-work_77201529 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 77201529; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_77201529"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_77201529 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="77201529"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 77201529; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=77201529]").text(description); $(".js-view-count-work_77201529").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_77201529").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="77201529"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">5</a>  </div><span class="InlineList-item-text u-textTruncate u-pl9x"><a class="InlineList-item-text" data-has-card-for-ri="184" rel="nofollow" href="https://www.academia.edu/Documents/in/Sociology">Sociology</a>, <script data-card-contents-for-ri="184" type="text/json">{"id":184,"name":"Sociology","url":"https://www.academia.edu/Documents/in/Sociology?f_ri=422","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="237" rel="nofollow" href="https://www.academia.edu/Documents/in/Cognitive_Science">Cognitive Science</a>, <script data-card-contents-for-ri="237" type="text/json">{"id":237,"name":"Cognitive Science","url":"https://www.academia.edu/Documents/in/Cognitive_Science?f_ri=422","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="422" rel="nofollow" href="https://www.academia.edu/Documents/in/Computer_Science">Computer Science</a>, <script data-card-contents-for-ri="422" type="text/json">{"id":422,"name":"Computer Science","url":"https://www.academia.edu/Documents/in/Computer_Science?f_ri=422","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="803" rel="nofollow" href="https://www.academia.edu/Documents/in/Philosophy">Philosophy</a><script data-card-contents-for-ri="803" type="text/json">{"id":803,"name":"Philosophy","url":"https://www.academia.edu/Documents/in/Philosophy?f_ri=422","nofollow":true}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=77201529]'), work: {"id":77201529,"title":"Artificial wisdom: a philosophical framework","created_at":"2022-04-21T10:20:00.208-07:00","url":"https://www.academia.edu/77201529/Artificial_wisdom_a_philosophical_framework?f_ri=422","dom_id":"work_77201529","summary":"Human excellences such as intelligence, morality, and consciousness are investigated by philosophers as well as artificial intelligence researchers. One excellence that has not been widely discussed by AI researchers is practical wisdom, the highest human excellence, or the highest, seventh, stage in Dreyfus’s model of skill acquisition. In this paper, I explain why artificial wisdom matters and how artificial wisdom is possible (in principle and in practice) by responding to two philosophical challenges for building artificial wisdom systems. The result is a conceptual framework that guides future research on creating artificial wisdom.","downloadable_attachments":[],"ordered_authors":[{"id":1561411,"first_name":"Cheng-hung","last_name":"Tsai (蔡政宏)","domain_name":"sinica","page_name":"ChenghungTsai蔡政宏","display_name":"Cheng-hung Tsai (蔡政宏)","profile_url":"https://sinica.academia.edu/ChenghungTsai%E8%94%A1%E6%94%BF%E5%AE%8F?f_ri=422","photo":"https://0.academia-photos.com/1561411/549675/14999808/s65_cheng-hung.tsai_.jpg"}],"research_interests":[{"id":184,"name":"Sociology","url":"https://www.academia.edu/Documents/in/Sociology?f_ri=422","nofollow":true},{"id":237,"name":"Cognitive Science","url":"https://www.academia.edu/Documents/in/Cognitive_Science?f_ri=422","nofollow":true},{"id":422,"name":"Computer Science","url":"https://www.academia.edu/Documents/in/Computer_Science?f_ri=422","nofollow":true},{"id":803,"name":"Philosophy","url":"https://www.academia.edu/Documents/in/Philosophy?f_ri=422","nofollow":true},{"id":1690196,"name":"AI \u0026 Society","url":"https://www.academia.edu/Documents/in/AI_and_Society?f_ri=422"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_74665794" data-work_id="74665794" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/74665794/Introduction_to_Quantum_Logical_Information_Theory">Introduction to Quantum Logical Information Theory</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">Logical information theory is the quantitative version of the logic of partitions just as logical probability theory is the quantitative version of the dual Boolean logic of subsets. The resulting notion of information is about... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_74665794" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Logical information theory is the quantitative version of the logic of partitions just as logical probability theory is the quantitative version of the dual Boolean logic of subsets. The resulting notion of information is about distinctions, di¤erences, and distinguishability, and is formalized as the distinctions of a partition (a pair of points distinguished by the partition). All the de-…nitions of simple, joint, conditional, and mutual entropy of Shannon information theory are derived by a uniform transformation from the corresponding de…nitions at the logical level. The purpose of this paper is to give the direct generalization to quantum logical information theory that similarly focuses on the pairs of eigenstates distinguished by an observable, i.e., qubits of an observable. The fundamental theorem for quantum logical entropy and measurement establishes a direct quantitative connection between the increase in quantum logical entropy due to a projective measurement and the eigenstates (cohered together in the pure superposition state being measured) that are distinguished by the measurement (decohered in the post-measurement mixed state). Both the classical and quantum versions of logical entropy have simple interpretations as "two-draw" probabilities. The conclusion is that quantum logical entropy is the simple and natural notion of information for a quantum information theory focusing on the distinguishing of quantum states. Contents Duality of Subsets and Partitions 2 From the logic of partitions to logical information theory 4 The logical theory of information 5 Compound logical entropies 5 Deriving the Shannon entropies from the logical entropies 6 Logical entropy via density matrices 8 Generalization to Quantum Information Theory: Commuting Observables 9 Fundamental Theorem about logical entropy and measurement 11 Generalization to Quantum Information Theory: Non-commuting Observables 12 9.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/74665794" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="4ec1a95d661310b7c59c803478a243e2" rel="nofollow" data-download="{"attachment_id":82736031,"asset_id":74665794,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/82736031/download_file?st=MTczODMyMzE5MSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="2274723" href="https://independent.academia.edu/DavidEllerman">David P Ellerman</a><script data-card-contents-for-user="2274723" type="text/json">{"id":2274723,"first_name":"David","last_name":"Ellerman","domain_name":"independent","page_name":"DavidEllerman","display_name":"David P Ellerman","profile_url":"https://independent.academia.edu/DavidEllerman?f_ri=422","photo":"https://gravatar.com/avatar/f614294fdc866d8e2813c4eec0f231c6?s=65"}</script></span></span></li><li class="js-paper-rank-work_74665794 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="74665794"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 74665794, container: ".js-paper-rank-work_74665794", }); });</script></li><li class="js-percentile-work_74665794 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 74665794; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_74665794"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_74665794 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="74665794"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 74665794; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=74665794]").text(description); $(".js-view-count-work_74665794").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_74665794").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="74665794"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">4</a>  </div><span class="InlineList-item-text u-textTruncate u-pl9x"><a class="InlineList-item-text" data-has-card-for-ri="422" rel="nofollow" href="https://www.academia.edu/Documents/in/Computer_Science">Computer Science</a>, <script data-card-contents-for-ri="422" type="text/json">{"id":422,"name":"Computer Science","url":"https://www.academia.edu/Documents/in/Computer_Science?f_ri=422","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="1410" rel="nofollow" href="https://www.academia.edu/Documents/in/Information_Theory">Information Theory</a>, <script data-card-contents-for-ri="1410" type="text/json">{"id":1410,"name":"Information Theory","url":"https://www.academia.edu/Documents/in/Information_Theory?f_ri=422","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="2640" rel="nofollow" href="https://www.academia.edu/Documents/in/Quantum_Information">Quantum Information</a>, <script data-card-contents-for-ri="2640" type="text/json">{"id":2640,"name":"Quantum Information","url":"https://www.academia.edu/Documents/in/Quantum_Information?f_ri=422","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="69856" rel="nofollow" href="https://www.academia.edu/Documents/in/Social_Science_Research_Network">Social Science Research Network</a><script data-card-contents-for-ri="69856" type="text/json">{"id":69856,"name":"Social Science Research Network","url":"https://www.academia.edu/Documents/in/Social_Science_Research_Network?f_ri=422","nofollow":true}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=74665794]'), work: {"id":74665794,"title":"Introduction to Quantum Logical Information Theory","created_at":"2022-03-26T23:38:22.634-07:00","url":"https://www.academia.edu/74665794/Introduction_to_Quantum_Logical_Information_Theory?f_ri=422","dom_id":"work_74665794","summary":"Logical information theory is the quantitative version of the logic of partitions just as logical probability theory is the quantitative version of the dual Boolean logic of subsets. The resulting notion of information is about distinctions, di¤erences, and distinguishability, and is formalized as the distinctions of a partition (a pair of points distinguished by the partition). All the de-…nitions of simple, joint, conditional, and mutual entropy of Shannon information theory are derived by a uniform transformation from the corresponding de…nitions at the logical level. The purpose of this paper is to give the direct generalization to quantum logical information theory that similarly focuses on the pairs of eigenstates distinguished by an observable, i.e., qubits of an observable. The fundamental theorem for quantum logical entropy and measurement establishes a direct quantitative connection between the increase in quantum logical entropy due to a projective measurement and the eigenstates (cohered together in the pure superposition state being measured) that are distinguished by the measurement (decohered in the post-measurement mixed state). Both the classical and quantum versions of logical entropy have simple interpretations as \"two-draw\" probabilities. The conclusion is that quantum logical entropy is the simple and natural notion of information for a quantum information theory focusing on the distinguishing of quantum states. Contents Duality of Subsets and Partitions 2 From the logic of partitions to logical information theory 4 The logical theory of information 5 Compound logical entropies 5 Deriving the Shannon entropies from the logical entropies 6 Logical entropy via density matrices 8 Generalization to Quantum Information Theory: Commuting Observables 9 Fundamental Theorem about logical entropy and measurement 11 Generalization to Quantum Information Theory: Non-commuting Observables 12 9.","downloadable_attachments":[{"id":82736031,"asset_id":74665794,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":2274723,"first_name":"David","last_name":"Ellerman","domain_name":"independent","page_name":"DavidEllerman","display_name":"David P Ellerman","profile_url":"https://independent.academia.edu/DavidEllerman?f_ri=422","photo":"https://gravatar.com/avatar/f614294fdc866d8e2813c4eec0f231c6?s=65"}],"research_interests":[{"id":422,"name":"Computer Science","url":"https://www.academia.edu/Documents/in/Computer_Science?f_ri=422","nofollow":true},{"id":1410,"name":"Information Theory","url":"https://www.academia.edu/Documents/in/Information_Theory?f_ri=422","nofollow":true},{"id":2640,"name":"Quantum Information","url":"https://www.academia.edu/Documents/in/Quantum_Information?f_ri=422","nofollow":true},{"id":69856,"name":"Social Science Research Network","url":"https://www.academia.edu/Documents/in/Social_Science_Research_Network?f_ri=422","nofollow":true}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_6947958 coauthored" data-work_id="6947958" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/6947958/From_Text_to_Political_Positions_Text_analysis_across_disciplines_ed_by_Kaal_Maks_and_Van_Elfrinkhof">From Text to Political Positions: Text analysis across disciplines, ed. by Kaal, Maks and Van Elfrinkhof</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">From Text to Political Positions addresses cross-disciplinary innovation in political text analysis for party positioning. Drawing on political science, computational methods and discourse analysis, it presents a diverse collection of... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_6947958" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">From Text to Political Positions addresses cross-disciplinary innovation in political text analysis for party positioning. Drawing on political science, computational methods and discourse analysis, it presents a diverse collection of analytical models including pure quantitative and qualitative approaches. By bringing together the prevailing text-analysis methods from each discipline the volume aims to alert researchers to new and exciting possibilities of text analyses across their own disciplinary boundary. <br /> <br />The volume builds on the fact that each of the disciplines has a common interest in extracting information from political texts. The focus on political texts thus facilitates interdisciplinary cross-overs. The volume also includes chapters combining methods as examples of cross-disciplinary endeavors. These chapters present an open discussion of the constraints and (dis)advantages of quantitative and qualitative methods and the affordances of combining them.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/6947958" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="8d9aa311f1928437cb7cb8fa8ce0b0be" rel="nofollow" data-download="{"attachment_id":33617715,"asset_id":6947958,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/33617715/download_file?st=MTczODMyMzE5MSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="86547" href="https://vu-nl.academia.edu/BertieKaal">Bertie Kaal</a><script data-card-contents-for-user="86547" type="text/json">{"id":86547,"first_name":"Bertie","last_name":"Kaal","domain_name":"vu-nl","page_name":"BertieKaal","display_name":"Bertie Kaal","profile_url":"https://vu-nl.academia.edu/BertieKaal?f_ri=422","photo":"https://0.academia-photos.com/86547/24152/163942437/s65_bertie.kaal.jpg"}</script></span></span><span class="u-displayInlineBlock InlineList-item-text"> and <span class="u-textDecorationUnderline u-clickable InlineList-item-text js-work-more-authors-6947958">+4</span><div class="hidden js-additional-users-6947958"><div><span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a href="https://lancaster.academia.edu/VeronikaKoller">Veronika Koller</a></span></div><div><span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a href="https://hu.academia.edu/NicolinaMontesanoMontessori">Nicolina Montesano Montessori</a></span></div><div><span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a href="https://vu-nl.academia.edu/anjaeleveld">anja eleveld</a></span></div><div><span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a href="https://uniromatre.academia.edu/MichaelBoyd">Michael S. Boyd</a></span></div></div></span><script>(function(){ var popoverSettings = { el: $('.js-work-more-authors-6947958'), placement: 'bottom', hide_delay: 200, html: true, content: function(){ return $('.js-additional-users-6947958').html(); } } new HoverPopover(popoverSettings); })();</script></li><li class="js-paper-rank-work_6947958 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="6947958"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 6947958, container: ".js-paper-rank-work_6947958", }); });</script></li><li class="js-percentile-work_6947958 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 6947958; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_6947958"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_6947958 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="6947958"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 6947958; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=6947958]").text(description); $(".js-view-count-work_6947958").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_6947958").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="6947958"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">7</a>  </div><span class="InlineList-item-text u-textTruncate u-pl9x"><a class="InlineList-item-text" data-has-card-for-ri="422" rel="nofollow" href="https://www.academia.edu/Documents/in/Computer_Science">Computer Science</a>, <script data-card-contents-for-ri="422" type="text/json">{"id":422,"name":"Computer Science","url":"https://www.academia.edu/Documents/in/Computer_Science?f_ri=422","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="796" rel="nofollow" href="https://www.academia.edu/Documents/in/Comparative_Politics">Comparative Politics</a>, <script data-card-contents-for-ri="796" type="text/json">{"id":796,"name":"Comparative Politics","url":"https://www.academia.edu/Documents/in/Comparative_Politics?f_ri=422","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="859" rel="nofollow" href="https://www.academia.edu/Documents/in/Communication">Communication</a>, <script data-card-contents-for-ri="859" type="text/json">{"id":859,"name":"Communication","url":"https://www.academia.edu/Documents/in/Communication?f_ri=422","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="1287" rel="nofollow" href="https://www.academia.edu/Documents/in/Political_Parties">Political Parties</a><script data-card-contents-for-ri="1287" type="text/json">{"id":1287,"name":"Political Parties","url":"https://www.academia.edu/Documents/in/Political_Parties?f_ri=422","nofollow":true}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=6947958]'), work: {"id":6947958,"title":"From Text to Political Positions: Text analysis across disciplines, ed. by Kaal, Maks and Van Elfrinkhof","created_at":"2014-05-03T03:29:00.967-07:00","url":"https://www.academia.edu/6947958/From_Text_to_Political_Positions_Text_analysis_across_disciplines_ed_by_Kaal_Maks_and_Van_Elfrinkhof?f_ri=422","dom_id":"work_6947958","summary":"From Text to Political Positions addresses cross-disciplinary innovation in political text analysis for party positioning. Drawing on political science, computational methods and discourse analysis, it presents a diverse collection of analytical models including pure quantitative and qualitative approaches. By bringing together the prevailing text-analysis methods from each discipline the volume aims to alert researchers to new and exciting possibilities of text analyses across their own disciplinary boundary.\r\n\r\nThe volume builds on the fact that each of the disciplines has a common interest in extracting information from political texts. The focus on political texts thus facilitates interdisciplinary cross-overs. The volume also includes chapters combining methods as examples of cross-disciplinary endeavors. These chapters present an open discussion of the constraints and (dis)advantages of quantitative and qualitative methods and the affordances of combining them. ","downloadable_attachments":[{"id":33617715,"asset_id":6947958,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":86547,"first_name":"Bertie","last_name":"Kaal","domain_name":"vu-nl","page_name":"BertieKaal","display_name":"Bertie Kaal","profile_url":"https://vu-nl.academia.edu/BertieKaal?f_ri=422","photo":"https://0.academia-photos.com/86547/24152/163942437/s65_bertie.kaal.jpg"},{"id":252201,"first_name":"Veronika","last_name":"Koller","domain_name":"lancaster","page_name":"VeronikaKoller","display_name":"Veronika Koller","profile_url":"https://lancaster.academia.edu/VeronikaKoller?f_ri=422","photo":"https://0.academia-photos.com/252201/1415894/3842658/s65_veronika.koller.jpg"},{"id":901936,"first_name":"Nicolina","last_name":"Montesano Montessori","domain_name":"hu","page_name":"NicolinaMontesanoMontessori","display_name":"Nicolina Montesano Montessori","profile_url":"https://hu.academia.edu/NicolinaMontesanoMontessori?f_ri=422","photo":"https://0.academia-photos.com/901936/332296/30701067/s65_nicolina.montesano_montessori.jpg"},{"id":4980339,"first_name":"anja","last_name":"eleveld","domain_name":"vu-nl","page_name":"anjaeleveld","display_name":"anja eleveld","profile_url":"https://vu-nl.academia.edu/anjaeleveld?f_ri=422","photo":"https://0.academia-photos.com/4980339/7093621/35935336/s65_anja.eleveld.jpeg"},{"id":1054925,"first_name":"Michael S.","last_name":"Boyd","domain_name":"uniromatre","page_name":"MichaelBoyd","display_name":"Michael S. Boyd","profile_url":"https://uniromatre.academia.edu/MichaelBoyd?f_ri=422","photo":"https://0.academia-photos.com/1054925/363884/2951601/s65_michael_s..boyd.jpg"}],"research_interests":[{"id":422,"name":"Computer Science","url":"https://www.academia.edu/Documents/in/Computer_Science?f_ri=422","nofollow":true},{"id":796,"name":"Comparative Politics","url":"https://www.academia.edu/Documents/in/Comparative_Politics?f_ri=422","nofollow":true},{"id":859,"name":"Communication","url":"https://www.academia.edu/Documents/in/Communication?f_ri=422","nofollow":true},{"id":1287,"name":"Political Parties","url":"https://www.academia.edu/Documents/in/Political_Parties?f_ri=422","nofollow":true},{"id":9389,"name":"Linguistic stylistics","url":"https://www.academia.edu/Documents/in/Linguistic_stylistics?f_ri=422"},{"id":10157,"name":"Corpus Linguistics","url":"https://www.academia.edu/Documents/in/Corpus_Linguistics?f_ri=422"},{"id":18384,"name":"Political Discourse Analysis","url":"https://www.academia.edu/Documents/in/Political_Discourse_Analysis?f_ri=422"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_74705956" data-work_id="74705956" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/74705956/Cognitive_Tools_and_Mindtools_for_Collaborative_Learning">Cognitive Tools and Mindtools for Collaborative Learning</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">When a computer-based tool or application is used to carry out a specific task in a learning situation—that is, it is used for learning—more effectively or efficiently one speaks of learning with the tool or application. When, possibly,... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_74705956" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">When a computer-based tool or application is used to carry out a specific task in a learning situation—that is, it is used for learning—more effectively or efficiently one speaks of learning with the tool or application. When, possibly, that same tool or application is used to enhance the way a learner works and thinks, and as such has effects that reach further than the learning situation in which it is used, then one speaks of learning from the tool or application. This article concentrates on the latter. It zooms in on the use of mindtools in education—computer programs and applications that facilitate meaningful professional thinking and working—because this is the epitome of learning from ICT. Mindtools and cognitive tools help users represent what they know as they transform information into knowledge and are used to engage in, and facilitate, critical thinking and higher order learning. These tools can be as simple as email and or discussion lists and as complicated as argume...</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/74705956" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="f8e1acfbd6fa61f235fd71dec16bdfa4" rel="nofollow" data-download="{"attachment_id":83632743,"asset_id":74705956,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/83632743/download_file?st=MTczODMyMzE5MSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="286220" href="https://uu.academia.edu/GijsbertErkens">Gijsbert Erkens</a><script data-card-contents-for-user="286220" type="text/json">{"id":286220,"first_name":"Gijsbert","last_name":"Erkens","domain_name":"uu","page_name":"GijsbertErkens","display_name":"Gijsbert Erkens","profile_url":"https://uu.academia.edu/GijsbertErkens?f_ri=422","photo":"/images/s65_no_pic.png"}</script></span></span></li><li class="js-paper-rank-work_74705956 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="74705956"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 74705956, container: ".js-paper-rank-work_74705956", }); });</script></li><li class="js-percentile-work_74705956 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 74705956; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_74705956"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_74705956 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="74705956"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 74705956; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=74705956]").text(description); $(".js-view-count-work_74705956").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_74705956").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="74705956"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">8</a>  </div><span class="InlineList-item-text u-textTruncate u-pl9x"><a class="InlineList-item-text" data-has-card-for-ri="422" rel="nofollow" href="https://www.academia.edu/Documents/in/Computer_Science">Computer Science</a>, <script data-card-contents-for-ri="422" type="text/json">{"id":422,"name":"Computer Science","url":"https://www.academia.edu/Documents/in/Computer_Science?f_ri=422","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="1003" rel="nofollow" href="https://www.academia.edu/Documents/in/Educational_Technology">Educational Technology</a>, <script data-card-contents-for-ri="1003" type="text/json">{"id":1003,"name":"Educational Technology","url":"https://www.academia.edu/Documents/in/Educational_Technology?f_ri=422","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="2621" rel="nofollow" href="https://www.academia.edu/Documents/in/Higher_Education">Higher Education</a>, <script data-card-contents-for-ri="2621" type="text/json">{"id":2621,"name":"Higher Education","url":"https://www.academia.edu/Documents/in/Higher_Education?f_ri=422","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="2971" rel="nofollow" href="https://www.academia.edu/Documents/in/Cognitive_development">Cognitive development</a><script data-card-contents-for-ri="2971" type="text/json">{"id":2971,"name":"Cognitive development","url":"https://www.academia.edu/Documents/in/Cognitive_development?f_ri=422","nofollow":true}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=74705956]'), work: {"id":74705956,"title":"Cognitive Tools and Mindtools for Collaborative Learning","created_at":"2022-03-27T09:52:08.927-07:00","url":"https://www.academia.edu/74705956/Cognitive_Tools_and_Mindtools_for_Collaborative_Learning?f_ri=422","dom_id":"work_74705956","summary":"When a computer-based tool or application is used to carry out a specific task in a learning situation—that is, it is used for learning—more effectively or efficiently one speaks of learning with the tool or application. When, possibly, that same tool or application is used to enhance the way a learner works and thinks, and as such has effects that reach further than the learning situation in which it is used, then one speaks of learning from the tool or application. This article concentrates on the latter. It zooms in on the use of mindtools in education—computer programs and applications that facilitate meaningful professional thinking and working—because this is the epitome of learning from ICT. Mindtools and cognitive tools help users represent what they know as they transform information into knowledge and are used to engage in, and facilitate, critical thinking and higher order learning. These tools can be as simple as email and or discussion lists and as complicated as argume...","downloadable_attachments":[{"id":83632743,"asset_id":74705956,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":286220,"first_name":"Gijsbert","last_name":"Erkens","domain_name":"uu","page_name":"GijsbertErkens","display_name":"Gijsbert Erkens","profile_url":"https://uu.academia.edu/GijsbertErkens?f_ri=422","photo":"/images/s65_no_pic.png"}],"research_interests":[{"id":422,"name":"Computer Science","url":"https://www.academia.edu/Documents/in/Computer_Science?f_ri=422","nofollow":true},{"id":1003,"name":"Educational Technology","url":"https://www.academia.edu/Documents/in/Educational_Technology?f_ri=422","nofollow":true},{"id":2621,"name":"Higher Education","url":"https://www.academia.edu/Documents/in/Higher_Education?f_ri=422","nofollow":true},{"id":2971,"name":"Cognitive development","url":"https://www.academia.edu/Documents/in/Cognitive_development?f_ri=422","nofollow":true},{"id":11006,"name":"Computer Mediated Communication","url":"https://www.academia.edu/Documents/in/Computer_Mediated_Communication?f_ri=422"},{"id":35254,"name":"Collaborative Learning","url":"https://www.academia.edu/Documents/in/Collaborative_Learning?f_ri=422"},{"id":43968,"name":"Cooperation","url":"https://www.academia.edu/Documents/in/Cooperation?f_ri=422"},{"id":69342,"name":"Educational computing","url":"https://www.academia.edu/Documents/in/Educational_computing?f_ri=422"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_77666791" data-work_id="77666791" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/77666791/Machine_Learning_in_Mental_Health">Machine Learning in Mental Health</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">High prevalence of mental illness and the need for effective mental health care, combined with recent advances in AI, has led to an increase in explorations of how the field of machine learning (ML) can assist in the detection, diagnosis... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_77666791" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">High prevalence of mental illness and the need for effective mental health care, combined with recent advances in AI, has led to an increase in explorations of how the field of machine learning (ML) can assist in the detection, diagnosis and treatment of mental health problems. ML techniques can potentially offer new routes for learning patterns of human behavior; identifying mental health symptoms and risk factors; developing predictions about disease progression; and personalizing and optimizing therapies. Despite the potential opportunities for using ML within mental health, this is an emerging research area, and the development of effective ML-enabled applications that are implementable in practice is bound up with an array of complex, interwoven challenges. Aiming to guide future research and identify new directions for advancing development in this important domain, this article presents an introduction to, and a systematic review of, current ML work regarding psycho-socially ...</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/77666791" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="3c1b392b4692ee5745d473b59374ec53" rel="nofollow" data-download="{"attachment_id":84975076,"asset_id":77666791,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/84975076/download_file?st=MTczODMyMzE5MSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="210905" href="https://tcd.academia.edu/GavinDoherty">Gavin Doherty</a><script data-card-contents-for-user="210905" type="text/json">{"id":210905,"first_name":"Gavin","last_name":"Doherty","domain_name":"tcd","page_name":"GavinDoherty","display_name":"Gavin Doherty","profile_url":"https://tcd.academia.edu/GavinDoherty?f_ri=422","photo":"/images/s65_no_pic.png"}</script></span></span></li><li class="js-paper-rank-work_77666791 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="77666791"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 77666791, container: ".js-paper-rank-work_77666791", }); });</script></li><li class="js-percentile-work_77666791 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 77666791; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_77666791"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_77666791 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="77666791"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 77666791; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=77666791]").text(description); $(".js-view-count-work_77666791").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_77666791").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="77666791"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">4</a>  </div><span class="InlineList-item-text u-textTruncate u-pl9x"><a class="InlineList-item-text" data-has-card-for-ri="37" rel="nofollow" href="https://www.academia.edu/Documents/in/Information_Systems">Information Systems</a>, <script data-card-contents-for-ri="37" type="text/json">{"id":37,"name":"Information Systems","url":"https://www.academia.edu/Documents/in/Information_Systems?f_ri=422","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="221" rel="nofollow" href="https://www.academia.edu/Documents/in/Psychology">Psychology</a>, <script data-card-contents-for-ri="221" type="text/json">{"id":221,"name":"Psychology","url":"https://www.academia.edu/Documents/in/Psychology?f_ri=422","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="422" rel="nofollow" href="https://www.academia.edu/Documents/in/Computer_Science">Computer Science</a>, <script data-card-contents-for-ri="422" type="text/json">{"id":422,"name":"Computer Science","url":"https://www.academia.edu/Documents/in/Computer_Science?f_ri=422","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="963963" rel="nofollow" href="https://www.academia.edu/Documents/in/ACM_Transactions_on_Computer_Human_Interaction">ACM Transactions on Computer Human Interaction</a><script data-card-contents-for-ri="963963" type="text/json">{"id":963963,"name":"ACM Transactions on Computer Human Interaction","url":"https://www.academia.edu/Documents/in/ACM_Transactions_on_Computer_Human_Interaction?f_ri=422","nofollow":true}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=77666791]'), work: {"id":77666791,"title":"Machine Learning in Mental Health","created_at":"2022-04-26T05:35:31.930-07:00","url":"https://www.academia.edu/77666791/Machine_Learning_in_Mental_Health?f_ri=422","dom_id":"work_77666791","summary":"High prevalence of mental illness and the need for effective mental health care, combined with recent advances in AI, has led to an increase in explorations of how the field of machine learning (ML) can assist in the detection, diagnosis and treatment of mental health problems. ML techniques can potentially offer new routes for learning patterns of human behavior; identifying mental health symptoms and risk factors; developing predictions about disease progression; and personalizing and optimizing therapies. Despite the potential opportunities for using ML within mental health, this is an emerging research area, and the development of effective ML-enabled applications that are implementable in practice is bound up with an array of complex, interwoven challenges. Aiming to guide future research and identify new directions for advancing development in this important domain, this article presents an introduction to, and a systematic review of, current ML work regarding psycho-socially ...","downloadable_attachments":[{"id":84975076,"asset_id":77666791,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":210905,"first_name":"Gavin","last_name":"Doherty","domain_name":"tcd","page_name":"GavinDoherty","display_name":"Gavin Doherty","profile_url":"https://tcd.academia.edu/GavinDoherty?f_ri=422","photo":"/images/s65_no_pic.png"}],"research_interests":[{"id":37,"name":"Information Systems","url":"https://www.academia.edu/Documents/in/Information_Systems?f_ri=422","nofollow":true},{"id":221,"name":"Psychology","url":"https://www.academia.edu/Documents/in/Psychology?f_ri=422","nofollow":true},{"id":422,"name":"Computer Science","url":"https://www.academia.edu/Documents/in/Computer_Science?f_ri=422","nofollow":true},{"id":963963,"name":"ACM Transactions on Computer Human Interaction","url":"https://www.academia.edu/Documents/in/ACM_Transactions_on_Computer_Human_Interaction?f_ri=422","nofollow":true}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_18007104" data-work_id="18007104" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/18007104/Machine_learning_in_computational_docking">Machine learning in computational docking</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">Objective: The objective of this paper is to highlight the state-of-the-art machine learning (ML) techniques in computational docking. The use of smart computational methods in the life cycle of drug design is relatively a recent... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_18007104" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Objective: The objective of this paper is to highlight the state-of-the-art machine learning (ML) techniques in computational docking. The use of smart computational methods in the life cycle of drug design is relatively a recent development that has gained much popularity and interest over the last few years. Central to this methodology is the notion of computational docking which is the process of predicting the best pose (orientation + conformation) of a small molecule (drug candidate) when bound to a target larger receptor molecule (protein) in order to form a stable complex molecule. In computational docking, a large number of binding poses are evaluated and ranked using a scoring function. The scoring function is a mathematical predictive model that produces a score that represents the binding free energy, and hence the stability, of the resulting complex molecule. Generally, such a function should produce a set of plausible ligands ranked according to their binding stability along with their binding poses. In more practical terms, an effective scoring function should produce promising drug candidates which can then be synthesized and physically screened using high throughput screening process. Therefore, the key to computer-aided drug design is the design of an efficient highly accurate scoring function (using ML techniques). Methods: The methods presented in this paper is specifically based on ML techniques. Despite many traditional techniques have been proposed, the performance was generally poor. Only in the last few years started the application of the ML technology in the design of scoring functions; and the results have been very promising.<br />Material: The ML-based techniques are based on various molecular features extracted from the abundance of protein-ligand information in the public molecular databases, e.g., protein data bank bind (PDBbind).<br />Results: In this paper, we present this paradigm shift elaborating on the main constituent elements of the ML approach to molecular docking along with the state-of-the-art research in this area. For instance, the best random forest (RF)-based scoring function (Li, 2014) on PDBbind v2007 achieves a Pear- son correlation coefficient between the predicted and experimentally deter- mined binding affinities of 0.803 while the best conventional scoring function achieves 0.644 (Cheng, 2009). The best RF-based ranking power (Ashtawy, 2012) ranks the ligands correctly based on their experimentally determined binding affinities with accuracy 62.5% and identifies the top binding ligand with accuracy 78.1%.<br />Conclusions: We conclude with open questions and potential future research directions that can be pursued in smart computational docking; using molecular features of different nature (geometrical, energy terms, pharmacophore), advanced ML techniques (e.g., deep learning), combining more than one ML models.<br />Keywords:<br />machine learning, random forest, support vector machine, drug discovery, computational docking, scoring function, virtual screening, complex binding affinity, ligands ranking accuracy, force field interaction, pharmacophore fingerprint.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/18007104" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="c05fdb3bdf2fb5f841dcd0a2d0700060" rel="nofollow" data-download="{"attachment_id":39825375,"asset_id":18007104,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/39825375/download_file?st=MTczODMyMzE5MSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="37877592" href="https://ejust.academia.edu/walid_gomaa">Walid Gomaa</a><script data-card-contents-for-user="37877592" type="text/json">{"id":37877592,"first_name":"Walid","last_name":"Gomaa","domain_name":"ejust","page_name":"walid_gomaa","display_name":"Walid Gomaa","profile_url":"https://ejust.academia.edu/walid_gomaa?f_ri=422","photo":"https://0.academia-photos.com/37877592/10632393/11942071/s65_walid.gomaa.png"}</script></span></span></li><li class="js-paper-rank-work_18007104 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="18007104"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 18007104, container: ".js-paper-rank-work_18007104", }); });</script></li><li class="js-percentile-work_18007104 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 18007104; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_18007104"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_18007104 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="18007104"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 18007104; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=18007104]").text(description); $(".js-view-count-work_18007104").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_18007104").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="18007104"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">18</a>  </div><span class="InlineList-item-text u-textTruncate u-pl10x"><a class="InlineList-item-text" data-has-card-for-ri="422" rel="nofollow" href="https://www.academia.edu/Documents/in/Computer_Science">Computer Science</a>, <script data-card-contents-for-ri="422" type="text/json">{"id":422,"name":"Computer Science","url":"https://www.academia.edu/Documents/in/Computer_Science?f_ri=422","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="10408" rel="nofollow" href="https://www.academia.edu/Documents/in/Support_Vector_Machines">Support Vector Machines</a>, <script data-card-contents-for-ri="10408" type="text/json">{"id":10408,"name":"Support Vector Machines","url":"https://www.academia.edu/Documents/in/Support_Vector_Machines?f_ri=422","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="10640" rel="nofollow" href="https://www.academia.edu/Documents/in/Drug_Discovery">Drug Discovery</a>, <script data-card-contents-for-ri="10640" type="text/json">{"id":10640,"name":"Drug Discovery","url":"https://www.academia.edu/Documents/in/Drug_Discovery?f_ri=422","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="59654" rel="nofollow" href="https://www.academia.edu/Documents/in/Computer-Aided_Drug_Design">Computer-Aided Drug Design</a><script data-card-contents-for-ri="59654" type="text/json">{"id":59654,"name":"Computer-Aided Drug Design","url":"https://www.academia.edu/Documents/in/Computer-Aided_Drug_Design?f_ri=422","nofollow":true}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=18007104]'), work: {"id":18007104,"title":"Machine learning in computational docking","created_at":"2015-11-09T03:29:54.256-08:00","url":"https://www.academia.edu/18007104/Machine_learning_in_computational_docking?f_ri=422","dom_id":"work_18007104","summary":"Objective: The objective of this paper is to highlight the state-of-the-art machine learning (ML) techniques in computational docking. The use of smart computational methods in the life cycle of drug design is relatively a recent development that has gained much popularity and interest over the last few years. Central to this methodology is the notion of computational docking which is the process of predicting the best pose (orientation + conformation) of a small molecule (drug candidate) when bound to a target larger receptor molecule (protein) in order to form a stable complex molecule. In computational docking, a large number of binding poses are evaluated and ranked using a scoring function. The scoring function is a mathematical predictive model that produces a score that represents the binding free energy, and hence the stability, of the resulting complex molecule. Generally, such a function should produce a set of plausible ligands ranked according to their binding stability along with their binding poses. In more practical terms, an effective scoring function should produce promising drug candidates which can then be synthesized and physically screened using high throughput screening process. Therefore, the key to computer-aided drug design is the design of an efficient highly accurate scoring function (using ML techniques). Methods: The methods presented in this paper is specifically based on ML techniques. Despite many traditional techniques have been proposed, the performance was generally poor. Only in the last few years started the application of the ML technology in the design of scoring functions; and the results have been very promising.\nMaterial: The ML-based techniques are based on various molecular features extracted from the abundance of protein-ligand information in the public molecular databases, e.g., protein data bank bind (PDBbind).\nResults: In this paper, we present this paradigm shift elaborating on the main constituent elements of the ML approach to molecular docking along with the state-of-the-art research in this area. For instance, the best random forest (RF)-based scoring function (Li, 2014) on PDBbind v2007 achieves a Pear- son correlation coefficient between the predicted and experimentally deter- mined binding affinities of 0.803 while the best conventional scoring function achieves 0.644 (Cheng, 2009). The best RF-based ranking power (Ashtawy, 2012) ranks the ligands correctly based on their experimentally determined binding affinities with accuracy 62.5% and identifies the top binding ligand with accuracy 78.1%.\nConclusions: We conclude with open questions and potential future research directions that can be pursued in smart computational docking; using molecular features of different nature (geometrical, energy terms, pharmacophore), advanced ML techniques (e.g., deep learning), combining more than one ML models.\nKeywords:\nmachine learning, random forest, support vector machine, drug discovery, computational docking, scoring function, virtual screening, complex binding affinity, ligands ranking accuracy, force field interaction, pharmacophore fingerprint.","downloadable_attachments":[{"id":39825375,"asset_id":18007104,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":37877592,"first_name":"Walid","last_name":"Gomaa","domain_name":"ejust","page_name":"walid_gomaa","display_name":"Walid Gomaa","profile_url":"https://ejust.academia.edu/walid_gomaa?f_ri=422","photo":"https://0.academia-photos.com/37877592/10632393/11942071/s65_walid.gomaa.png"}],"research_interests":[{"id":422,"name":"Computer Science","url":"https://www.academia.edu/Documents/in/Computer_Science?f_ri=422","nofollow":true},{"id":10408,"name":"Support Vector Machines","url":"https://www.academia.edu/Documents/in/Support_Vector_Machines?f_ri=422","nofollow":true},{"id":10640,"name":"Drug Discovery","url":"https://www.academia.edu/Documents/in/Drug_Discovery?f_ri=422","nofollow":true},{"id":59654,"name":"Computer-Aided Drug Design","url":"https://www.academia.edu/Documents/in/Computer-Aided_Drug_Design?f_ri=422","nofollow":true},{"id":70037,"name":"Virtual screening","url":"https://www.academia.edu/Documents/in/Virtual_screening?f_ri=422"},{"id":70995,"name":"Random Forest","url":"https://www.academia.edu/Documents/in/Random_Forest?f_ri=422"},{"id":166266,"name":"Docking Scoring Function","url":"https://www.academia.edu/Documents/in/Docking_Scoring_Function?f_ri=422"},{"id":170056,"name":"Random Forests","url":"https://www.academia.edu/Documents/in/Random_Forests?f_ri=422"},{"id":191289,"name":"Support vector machine","url":"https://www.academia.edu/Documents/in/Support_vector_machine?f_ri=422"},{"id":230896,"name":"Computational Docking","url":"https://www.academia.edu/Documents/in/Computational_Docking?f_ri=422"},{"id":275091,"name":"Computer Aided Drug Designing","url":"https://www.academia.edu/Documents/in/Computer_Aided_Drug_Designing?f_ri=422"},{"id":357523,"name":"Support Vector Machines (SVMs)","url":"https://www.academia.edu/Documents/in/Support_Vector_Machines_SVMs_?f_ri=422"},{"id":395890,"name":"Molecular Docking and Virtual Screening","url":"https://www.academia.edu/Documents/in/Molecular_Docking_and_Virtual_Screening?f_ri=422"},{"id":638101,"name":"Bioinfrmatics","url":"https://www.academia.edu/Documents/in/Bioinfrmatics?f_ri=422"},{"id":970019,"name":"Support Vectort Machines","url":"https://www.academia.edu/Documents/in/Support_Vectort_Machines?f_ri=422"},{"id":1342831,"name":"Random Forest Models","url":"https://www.academia.edu/Documents/in/Random_Forest_Models?f_ri=422"},{"id":1702038,"name":"random forest (RF)","url":"https://www.academia.edu/Documents/in/random_forest_RF_?f_ri=422"},{"id":2225815,"name":"Binding affinity","url":"https://www.academia.edu/Documents/in/Binding_affinity?f_ri=422"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_79627949" data-work_id="79627949" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/79627949/Industrie_4_0_by_Siemens">Industrie 4.0 by Siemens</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">The digital disruption is to transform all industries, leading to new business models based on the new technologies. In manufacturing, one model for digital disruption is Industrie 4.0. Proposals for Industrie 4.0 involve the... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_79627949" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">The digital disruption is to transform all industries, leading to new business models based on the new technologies. In manufacturing, one model for digital disruption is Industrie 4.0. Proposals for Industrie 4.0 involve the virtualization and vertical and horizontal integration of the value chain, digital services, the digital transformation of products, the digital transformation of production equipment, the digital transformation of factories and the digital transformation of supply chains. The former two are already in place today. This article and its follow-up builds an overview of the pillars of Industrie 4.0 as addressed by the proponents of the model, by consultancy companies, by journal research, and by the customer proposition of Siemens. CapGemeni rate General Electric as a key player in the Industrial Internet in the Digital Revolution, and Siemens is its contestant. This article builds a detailed analysis of Siemens&#39; strategy which covers the steps already made an...</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/79627949" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="b2e0e1d082f51f8b258636c3eb46249a" rel="nofollow" data-download="{"attachment_id":86277833,"asset_id":79627949,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/86277833/download_file?st=MTczODMyMzE5MSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="30659838" href="https://independent.academia.edu/ipetrisor">ioan petrisor</a><script data-card-contents-for-user="30659838" type="text/json">{"id":30659838,"first_name":"ioan","last_name":"petrisor","domain_name":"independent","page_name":"ipetrisor","display_name":"ioan petrisor","profile_url":"https://independent.academia.edu/ipetrisor?f_ri=422","photo":"https://0.academia-photos.com/30659838/23873242/22884995/s65_ioan.petrisor.jpg"}</script></span></span></li><li class="js-paper-rank-work_79627949 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="79627949"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 79627949, container: ".js-paper-rank-work_79627949", }); });</script></li><li class="js-percentile-work_79627949 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 79627949; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_79627949"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_79627949 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="79627949"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 79627949; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=79627949]").text(description); $(".js-view-count-work_79627949").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_79627949").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="79627949"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">4</a>  </div><span class="InlineList-item-text u-textTruncate u-pl9x"><a class="InlineList-item-text" data-has-card-for-ri="37" rel="nofollow" href="https://www.academia.edu/Documents/in/Information_Systems">Information Systems</a>, <script data-card-contents-for-ri="37" type="text/json">{"id":37,"name":"Information Systems","url":"https://www.academia.edu/Documents/in/Information_Systems?f_ri=422","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="48" rel="nofollow" href="https://www.academia.edu/Documents/in/Engineering">Engineering</a>, <script data-card-contents-for-ri="48" type="text/json">{"id":48,"name":"Engineering","url":"https://www.academia.edu/Documents/in/Engineering?f_ri=422","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="422" rel="nofollow" href="https://www.academia.edu/Documents/in/Computer_Science">Computer Science</a>, <script data-card-contents-for-ri="422" type="text/json">{"id":422,"name":"Computer Science","url":"https://www.academia.edu/Documents/in/Computer_Science?f_ri=422","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="499251" rel="nofollow" href="https://www.academia.edu/Documents/in/Siemens">Siemens</a><script data-card-contents-for-ri="499251" type="text/json">{"id":499251,"name":"Siemens","url":"https://www.academia.edu/Documents/in/Siemens?f_ri=422","nofollow":true}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=79627949]'), work: {"id":79627949,"title":"Industrie 4.0 by Siemens","created_at":"2022-05-22T00:07:03.290-07:00","url":"https://www.academia.edu/79627949/Industrie_4_0_by_Siemens?f_ri=422","dom_id":"work_79627949","summary":"The digital disruption is to transform all industries, leading to new business models based on the new technologies. In manufacturing, one model for digital disruption is Industrie 4.0. Proposals for Industrie 4.0 involve the virtualization and vertical and horizontal integration of the value chain, digital services, the digital transformation of products, the digital transformation of production equipment, the digital transformation of factories and the digital transformation of supply chains. The former two are already in place today. This article and its follow-up builds an overview of the pillars of Industrie 4.0 as addressed by the proponents of the model, by consultancy companies, by journal research, and by the customer proposition of Siemens. CapGemeni rate General Electric as a key player in the Industrial Internet in the Digital Revolution, and Siemens is its contestant. This article builds a detailed analysis of Siemens\u0026#39; strategy which covers the steps already made an...","downloadable_attachments":[{"id":86277833,"asset_id":79627949,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":30659838,"first_name":"ioan","last_name":"petrisor","domain_name":"independent","page_name":"ipetrisor","display_name":"ioan petrisor","profile_url":"https://independent.academia.edu/ipetrisor?f_ri=422","photo":"https://0.academia-photos.com/30659838/23873242/22884995/s65_ioan.petrisor.jpg"}],"research_interests":[{"id":37,"name":"Information Systems","url":"https://www.academia.edu/Documents/in/Information_Systems?f_ri=422","nofollow":true},{"id":48,"name":"Engineering","url":"https://www.academia.edu/Documents/in/Engineering?f_ri=422","nofollow":true},{"id":422,"name":"Computer Science","url":"https://www.academia.edu/Documents/in/Computer_Science?f_ri=422","nofollow":true},{"id":499251,"name":"Siemens","url":"https://www.academia.edu/Documents/in/Siemens?f_ri=422","nofollow":true}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_70516374" data-work_id="70516374" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" rel="nofollow" href="https://www.academia.edu/70516374/Kinesthetic_Approach_in_Architectural_Space">Kinesthetic Approach in Architectural Space</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">Constructed spaces have the ability to influence the lives of people living in those spaces for good or bad. They have the potential to influence the user&amp;#39;s experience. This can be done by choreographing each area in a building in... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_70516374" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Constructed spaces have the ability to influence the lives of people living in those spaces for good or bad. They have the potential to influence the user&amp;#39;s experience. This can be done by choreographing each area in a building in order to give a person different perceptions when going through those areas. We experience any visual frame as we pass through a built space and view it in relation to the neighboring frame. At the same time, we do not simply see them when moving via a space, but even our senses are also engaged in the space perception process. They are driving our front ward motion unintentionally and our unintentional pauses. As we pass through a construction, we see the various components of the building unfold. One needs to decipher the various layers that articulate these spaces in order to address the kinesthetic factor. The order of spaces not only controls the direction of motion and the pattern of motion, but also indicates that an individual pauses or continues. Many experiences are felt because of the sequential emergence of various spaces when going through Indian traditional architecture. These observations are not accidental but are the result of conscious design decisions. But the concept of kinesthetics is ignored as an incidental phenomenon if we focus at contemporary architecture. Architects have some goals that they tackle any project with. Among them, the user experience is typically given the least importance, even though it is the most vital issue. The opportunity for buildings built with sound kinesthetics is to construct a human environment that is conducive to its inhabitants. This research is an attempt to find out the variables by paying close attention to the kinesthetics of a space from which the experience of the users can be improved.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/70516374" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="184727781" href="https://independent.academia.edu/AjayYadav690">Ajay Yadav</a><script data-card-contents-for-user="184727781" type="text/json">{"id":184727781,"first_name":"Ajay","last_name":"Yadav","domain_name":"independent","page_name":"AjayYadav690","display_name":"Ajay Yadav","profile_url":"https://independent.academia.edu/AjayYadav690?f_ri=422","photo":"/images/s65_no_pic.png"}</script></span></span></li><li class="js-paper-rank-work_70516374 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="70516374"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 70516374, container: ".js-paper-rank-work_70516374", }); });</script></li><li class="js-percentile-work_70516374 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 70516374; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_70516374"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_70516374 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="70516374"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 70516374; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=70516374]").text(description); $(".js-view-count-work_70516374").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_70516374").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="70516374"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">2</a>  </div><span class="InlineList-item-text u-textTruncate u-pl9x"><a class="InlineList-item-text" data-has-card-for-ri="422" rel="nofollow" href="https://www.academia.edu/Documents/in/Computer_Science">Computer Science</a>, <script data-card-contents-for-ri="422" type="text/json">{"id":422,"name":"Computer Science","url":"https://www.academia.edu/Documents/in/Computer_Science?f_ri=422","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="694013" rel="nofollow" href="https://www.academia.edu/Documents/in/Kinaesthetics">Kinaesthetics</a><script data-card-contents-for-ri="694013" type="text/json">{"id":694013,"name":"Kinaesthetics","url":"https://www.academia.edu/Documents/in/Kinaesthetics?f_ri=422","nofollow":true}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=70516374]'), work: {"id":70516374,"title":"Kinesthetic Approach in Architectural Space","created_at":"2022-02-05T02:26:46.996-08:00","url":"https://www.academia.edu/70516374/Kinesthetic_Approach_in_Architectural_Space?f_ri=422","dom_id":"work_70516374","summary":"Constructed spaces have the ability to influence the lives of people living in those spaces for good or bad. They have the potential to influence the user\u0026amp;#39;s experience. This can be done by choreographing each area in a building in order to give a person different perceptions when going through those areas. We experience any visual frame as we pass through a built space and view it in relation to the neighboring frame. At the same time, we do not simply see them when moving via a space, but even our senses are also engaged in the space perception process. They are driving our front ward motion unintentionally and our unintentional pauses. As we pass through a construction, we see the various components of the building unfold. One needs to decipher the various layers that articulate these spaces in order to address the kinesthetic factor. The order of spaces not only controls the direction of motion and the pattern of motion, but also indicates that an individual pauses or continues. Many experiences are felt because of the sequential emergence of various spaces when going through Indian traditional architecture. These observations are not accidental but are the result of conscious design decisions. But the concept of kinesthetics is ignored as an incidental phenomenon if we focus at contemporary architecture. Architects have some goals that they tackle any project with. Among them, the user experience is typically given the least importance, even though it is the most vital issue. The opportunity for buildings built with sound kinesthetics is to construct a human environment that is conducive to its inhabitants. This research is an attempt to find out the variables by paying close attention to the kinesthetics of a space from which the experience of the users can be improved.","downloadable_attachments":[],"ordered_authors":[{"id":184727781,"first_name":"Ajay","last_name":"Yadav","domain_name":"independent","page_name":"AjayYadav690","display_name":"Ajay Yadav","profile_url":"https://independent.academia.edu/AjayYadav690?f_ri=422","photo":"/images/s65_no_pic.png"}],"research_interests":[{"id":422,"name":"Computer Science","url":"https://www.academia.edu/Documents/in/Computer_Science?f_ri=422","nofollow":true},{"id":694013,"name":"Kinaesthetics","url":"https://www.academia.edu/Documents/in/Kinaesthetics?f_ri=422","nofollow":true}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_21418483" data-work_id="21418483" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/21418483/Formal_Verification_of_Informal_Discourse">Formal Verification of Informal Discourse</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">New computer languages have permitted formal verification of much of Mathematics(1,2). I asked to verify informal demonstrations such as in the natural and social sciences, where false conclusions sometimes propagate(4,5). I announce a... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_21418483" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">New computer languages have permitted formal verification of much of Mathematics(1,2). I asked to verify informal demonstrations such as in the natural and social sciences, where false conclusions sometimes propagate(4,5). I announce a program for crowd sourced formal verification of informal rational demonstration. TruthSift addresses a critical problem, deciding truth and publishing a transparent proof, for which the world has not previously had a good solution outside of mathematics. I prove: Theorem 1: In the limit where members bring to bear all<br />their pertinent knowledge, a statement will be rated TE by TruthSift if and only if there is an established proof of it to which no member has a remaining challenge. If it is not rated TE, there is an established proof of a disproof of it, or of every proof of<br />it. I predict crowd-sourced verification will lead to progress on wicked problems(3).</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/21418483" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="365af53ee40d6c3c14e3883bf7cefa00" rel="nofollow" data-download="{"attachment_id":41862626,"asset_id":21418483,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/41862626/download_file?st=MTczODMyMzE5MSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="9388726" href="https://independent.academia.edu/EricBaum">Eric Baum</a><script data-card-contents-for-user="9388726" type="text/json">{"id":9388726,"first_name":"Eric","last_name":"Baum","domain_name":"independent","page_name":"EricBaum","display_name":"Eric Baum","profile_url":"https://independent.academia.edu/EricBaum?f_ri=422","photo":"/images/s65_no_pic.png"}</script></span></span></li><li class="js-paper-rank-work_21418483 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="21418483"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 21418483, container: ".js-paper-rank-work_21418483", }); });</script></li><li class="js-percentile-work_21418483 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 21418483; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_21418483"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_21418483 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="21418483"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 21418483; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=21418483]").text(description); $(".js-view-count-work_21418483").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_21418483").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="21418483"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">6</a>  </div><span class="InlineList-item-text u-textTruncate u-pl9x"><a class="InlineList-item-text" data-has-card-for-ri="422" rel="nofollow" href="https://www.academia.edu/Documents/in/Computer_Science">Computer Science</a>, <script data-card-contents-for-ri="422" type="text/json">{"id":422,"name":"Computer Science","url":"https://www.academia.edu/Documents/in/Computer_Science?f_ri=422","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="472" rel="nofollow" href="https://www.academia.edu/Documents/in/Human_Computer_Interaction">Human Computer Interaction</a>, <script data-card-contents-for-ri="472" type="text/json">{"id":472,"name":"Human Computer Interaction","url":"https://www.academia.edu/Documents/in/Human_Computer_Interaction?f_ri=422","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="815" rel="nofollow" href="https://www.academia.edu/Documents/in/Epistemology">Epistemology</a>, <script data-card-contents-for-ri="815" type="text/json">{"id":815,"name":"Epistemology","url":"https://www.academia.edu/Documents/in/Epistemology?f_ri=422","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="924" rel="nofollow" href="https://www.academia.edu/Documents/in/Logic">Logic</a><script data-card-contents-for-ri="924" type="text/json">{"id":924,"name":"Logic","url":"https://www.academia.edu/Documents/in/Logic?f_ri=422","nofollow":true}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=21418483]'), work: {"id":21418483,"title":"Formal Verification of Informal Discourse","created_at":"2016-02-01T11:10:39.472-08:00","url":"https://www.academia.edu/21418483/Formal_Verification_of_Informal_Discourse?f_ri=422","dom_id":"work_21418483","summary":"New computer languages have permitted formal verification of much of Mathematics(1,2). I asked to verify informal demonstrations such as in the natural and social sciences, where false conclusions sometimes propagate(4,5). I announce a program for crowd sourced formal verification of informal rational demonstration. TruthSift addresses a critical problem, deciding truth and publishing a transparent proof, for which the world has not previously had a good solution outside of mathematics. I prove: Theorem 1: In the limit where members bring to bear all\ntheir pertinent knowledge, a statement will be rated TE by TruthSift if and only if there is an established proof of it to which no member has a remaining challenge. If it is not rated TE, there is an established proof of a disproof of it, or of every proof of\nit. I predict crowd-sourced verification will lead to progress on wicked problems(3).","downloadable_attachments":[{"id":41862626,"asset_id":21418483,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":9388726,"first_name":"Eric","last_name":"Baum","domain_name":"independent","page_name":"EricBaum","display_name":"Eric Baum","profile_url":"https://independent.academia.edu/EricBaum?f_ri=422","photo":"/images/s65_no_pic.png"}],"research_interests":[{"id":422,"name":"Computer Science","url":"https://www.academia.edu/Documents/in/Computer_Science?f_ri=422","nofollow":true},{"id":472,"name":"Human Computer Interaction","url":"https://www.academia.edu/Documents/in/Human_Computer_Interaction?f_ri=422","nofollow":true},{"id":815,"name":"Epistemology","url":"https://www.academia.edu/Documents/in/Epistemology?f_ri=422","nofollow":true},{"id":924,"name":"Logic","url":"https://www.academia.edu/Documents/in/Logic?f_ri=422","nofollow":true},{"id":1237,"name":"Social Sciences","url":"https://www.academia.edu/Documents/in/Social_Sciences?f_ri=422"},{"id":36997,"name":"Emerging Technologies","url":"https://www.academia.edu/Documents/in/Emerging_Technologies?f_ri=422"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_66713376" data-work_id="66713376" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/66713376/INSTA_YOLO_Real_Time_Instance_Segmentation">INSTA-YOLO: Real-Time Instance Segmentation</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">Instance segmentation has gained recently huge attention in various computer vision applications. It aims at providing different IDs to different objects of the scene, even if they belong to the same class. Instance segmentation is... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_66713376" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Instance segmentation has gained recently huge attention in various computer vision applications. It aims at providing different IDs to different objects of the scene, even if they belong to the same class. Instance segmentation is usually performed as a two-stage pipeline. First, an object is detected, then semantic segmentation within the detected box area is performed which involves costly up-sampling. In this paper, we propose Insta-YOLO, a novel one-stage end-to-end deep learning model for real-time instance segmentation. Instead of pixel-wise prediction, our model predicts instances as object contours represented by 2D points in Cartesian space. We evaluate our model on three datasets, namely, Carvana, Cityscapes and Airbus. We compare our results to the state-of-the-art models for instance segmentation. The results show our model achieves competitive accuracy in terms of mAP at twice the speed on GTX-1080 GPU.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/66713376" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="792bd759ec1d0c02389a70a2d5fbe0ac" rel="nofollow" data-download="{"attachment_id":77799101,"asset_id":66713376,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/77799101/download_file?st=MTczODMyMzE5MSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="13167762" href="https://independent.academia.edu/MayadaHadhoud">Mayada Hadhoud</a><script data-card-contents-for-user="13167762" type="text/json">{"id":13167762,"first_name":"Mayada","last_name":"Hadhoud","domain_name":"independent","page_name":"MayadaHadhoud","display_name":"Mayada Hadhoud","profile_url":"https://independent.academia.edu/MayadaHadhoud?f_ri=422","photo":"https://0.academia-photos.com/13167762/29527270/27471128/s65_mayada.hadhoud.jpg"}</script></span></span></li><li class="js-paper-rank-work_66713376 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="66713376"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 66713376, container: ".js-paper-rank-work_66713376", }); });</script></li><li class="js-percentile-work_66713376 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 66713376; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_66713376"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_66713376 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="66713376"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 66713376; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=66713376]").text(description); $(".js-view-count-work_66713376").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_66713376").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="66713376"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">2</a>  </div><span class="InlineList-item-text u-textTruncate u-pl9x"><a class="InlineList-item-text" data-has-card-for-ri="422" rel="nofollow" href="https://www.academia.edu/Documents/in/Computer_Science">Computer Science</a>, <script data-card-contents-for-ri="422" type="text/json">{"id":422,"name":"Computer Science","url":"https://www.academia.edu/Documents/in/Computer_Science?f_ri=422","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="3193313" rel="nofollow" href="https://www.academia.edu/Documents/in/arXiv">arXiv</a><script data-card-contents-for-ri="3193313" type="text/json">{"id":3193313,"name":"arXiv","url":"https://www.academia.edu/Documents/in/arXiv?f_ri=422","nofollow":true}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=66713376]'), work: {"id":66713376,"title":"INSTA-YOLO: Real-Time Instance Segmentation","created_at":"2021-12-31T07:06:25.045-08:00","url":"https://www.academia.edu/66713376/INSTA_YOLO_Real_Time_Instance_Segmentation?f_ri=422","dom_id":"work_66713376","summary":"Instance segmentation has gained recently huge attention in various computer vision applications. It aims at providing different IDs to different objects of the scene, even if they belong to the same class. Instance segmentation is usually performed as a two-stage pipeline. First, an object is detected, then semantic segmentation within the detected box area is performed which involves costly up-sampling. In this paper, we propose Insta-YOLO, a novel one-stage end-to-end deep learning model for real-time instance segmentation. Instead of pixel-wise prediction, our model predicts instances as object contours represented by 2D points in Cartesian space. We evaluate our model on three datasets, namely, Carvana, Cityscapes and Airbus. We compare our results to the state-of-the-art models for instance segmentation. The results show our model achieves competitive accuracy in terms of mAP at twice the speed on GTX-1080 GPU.","downloadable_attachments":[{"id":77799101,"asset_id":66713376,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":13167762,"first_name":"Mayada","last_name":"Hadhoud","domain_name":"independent","page_name":"MayadaHadhoud","display_name":"Mayada Hadhoud","profile_url":"https://independent.academia.edu/MayadaHadhoud?f_ri=422","photo":"https://0.academia-photos.com/13167762/29527270/27471128/s65_mayada.hadhoud.jpg"}],"research_interests":[{"id":422,"name":"Computer Science","url":"https://www.academia.edu/Documents/in/Computer_Science?f_ri=422","nofollow":true},{"id":3193313,"name":"arXiv","url":"https://www.academia.edu/Documents/in/arXiv?f_ri=422","nofollow":true}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_79244310" data-work_id="79244310" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/79244310/Enhancing_Aircraft_Safety_through_Observations_and_Pilot_Verbalisations">Enhancing Aircraft Safety through Observations and Pilot Verbalisations</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">Safety in complex work environments is often an area of focus in the research community. Aviation is a multi-faceted field, but it remains one of the safest work environments in the world. For instance, despite passenger numbers... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_79244310" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Safety in complex work environments is often an area of focus in the research community. Aviation is a multi-faceted field, but it remains one of the safest work environments in the world. For instance, despite passenger numbers increasing worldwide over many decades, the year 2013, when 3.1 billion passengers flew worldwide, is the safest year on record for aviation (Aviation Safety Network, 2017). That year resulted in only 29 fatal crashes and 265 deaths – one per 11,501,886 miles flown. Despite these impressive statistics, every disaster affects the lives of many people and attracts the attention of the general public, who demand answers. As a result, aviation has continually sought to discover new methods for increasing safety. Early in the twentieth century, when aviation was developing as an industry, accidents were decreasing steadily due to technical improvements, such as advances in aircraft structures and materials, aerodynamics, and systems. In the 1970s, as safety impro...</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/79244310" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="4f128404b6bcade632c282b906ec1b07" rel="nofollow" data-download="{"attachment_id":86024494,"asset_id":79244310,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/86024494/download_file?st=MTczODMyMzE5MSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="22464567" href="https://independent.academia.edu/LaurieEarl">Laurie Earl</a><script data-card-contents-for-user="22464567" type="text/json">{"id":22464567,"first_name":"Laurie","last_name":"Earl","domain_name":"independent","page_name":"LaurieEarl","display_name":"Laurie Earl","profile_url":"https://independent.academia.edu/LaurieEarl?f_ri=422","photo":"/images/s65_no_pic.png"}</script></span></span></li><li class="js-paper-rank-work_79244310 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="79244310"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 79244310, container: ".js-paper-rank-work_79244310", }); });</script></li><li class="js-percentile-work_79244310 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 79244310; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_79244310"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_79244310 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="79244310"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 79244310; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=79244310]").text(description); $(".js-view-count-work_79244310").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_79244310").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="79244310"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">2</a>  </div><span class="InlineList-item-text u-textTruncate u-pl9x"><a class="InlineList-item-text" data-has-card-for-ri="422" rel="nofollow" href="https://www.academia.edu/Documents/in/Computer_Science">Computer Science</a>, <script data-card-contents-for-ri="422" type="text/json">{"id":422,"name":"Computer Science","url":"https://www.academia.edu/Documents/in/Computer_Science?f_ri=422","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="181995" rel="nofollow" href="https://www.academia.edu/Documents/in/Aeronautics">Aeronautics</a><script data-card-contents-for-ri="181995" type="text/json">{"id":181995,"name":"Aeronautics","url":"https://www.academia.edu/Documents/in/Aeronautics?f_ri=422","nofollow":true}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=79244310]'), work: {"id":79244310,"title":"Enhancing Aircraft Safety through Observations and Pilot Verbalisations","created_at":"2022-05-16T09:00:55.973-07:00","url":"https://www.academia.edu/79244310/Enhancing_Aircraft_Safety_through_Observations_and_Pilot_Verbalisations?f_ri=422","dom_id":"work_79244310","summary":"Safety in complex work environments is often an area of focus in the research community. Aviation is a multi-faceted field, but it remains one of the safest work environments in the world. For instance, despite passenger numbers increasing worldwide over many decades, the year 2013, when 3.1 billion passengers flew worldwide, is the safest year on record for aviation (Aviation Safety Network, 2017). That year resulted in only 29 fatal crashes and 265 deaths – one per 11,501,886 miles flown. Despite these impressive statistics, every disaster affects the lives of many people and attracts the attention of the general public, who demand answers. As a result, aviation has continually sought to discover new methods for increasing safety. Early in the twentieth century, when aviation was developing as an industry, accidents were decreasing steadily due to technical improvements, such as advances in aircraft structures and materials, aerodynamics, and systems. In the 1970s, as safety impro...","downloadable_attachments":[{"id":86024494,"asset_id":79244310,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":22464567,"first_name":"Laurie","last_name":"Earl","domain_name":"independent","page_name":"LaurieEarl","display_name":"Laurie Earl","profile_url":"https://independent.academia.edu/LaurieEarl?f_ri=422","photo":"/images/s65_no_pic.png"}],"research_interests":[{"id":422,"name":"Computer Science","url":"https://www.academia.edu/Documents/in/Computer_Science?f_ri=422","nofollow":true},{"id":181995,"name":"Aeronautics","url":"https://www.academia.edu/Documents/in/Aeronautics?f_ri=422","nofollow":true}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_72300431" data-work_id="72300431" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/72300431/Learning_in_Small_Task_Oriented_Connectivist_MOOCs_Pedagogical_Issues_and_Implications_for_Higher_Education">Learning in Small Task-Oriented Connectivist MOOCs : Pedagogical Issues and Implications for Higher Education</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">Despite the increase in massive open online courses (MOOCs), evidence about the pedagogy of learning in MOOCs remains limited. This paper reports on an investigation into the pedagogy in one MOOC- Oxford Brookes University’s ‘First Steps... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_72300431" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Despite the increase in massive open online courses (MOOCs), evidence about the pedagogy of learning in MOOCs remains limited. This paper reports on an investigation into the pedagogy in one MOOC- Oxford Brookes University’s ‘First Steps in Learning and Teaching in Higher Education ’ MOOC (FSLT12). FSLT12 was an open and free professional development opportunity for people moving into HE teaching. It was a small course (200 participants registered from 24 countries) which was focused on introducing HE teaching skills, and, uniquely, to deliberately integrate open academic practice as a vital part of professional development for HE teachers. A qualitative, case-study approach was used in the research, based on surveys, interviews, and social media, to provide evidence about how people learned in this course and consider wider implications for teaching and learning in higher education. The evidence shows that participants who completed the course were able to learn autonomously and na...</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/72300431" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="123543fad7700bb0544747bc3663eb7e" rel="nofollow" data-download="{"attachment_id":81282208,"asset_id":72300431,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/81282208/download_file?st=MTczODMyMzE5MSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="491863" href="https://oxfordbrookes.academia.edu/ElizabethLovegrove">Elizabeth Lovegrove</a><script data-card-contents-for-user="491863" type="text/json">{"id":491863,"first_name":"Elizabeth","last_name":"Lovegrove","domain_name":"oxfordbrookes","page_name":"ElizabethLovegrove","display_name":"Elizabeth Lovegrove","profile_url":"https://oxfordbrookes.academia.edu/ElizabethLovegrove?f_ri=422","photo":"https://0.academia-photos.com/491863/168072/25178610/s65_elizabeth.lovegrove.jpg"}</script></span></span></li><li class="js-paper-rank-work_72300431 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="72300431"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 72300431, container: ".js-paper-rank-work_72300431", }); });</script></li><li class="js-percentile-work_72300431 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 72300431; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_72300431"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_72300431 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="72300431"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 72300431; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=72300431]").text(description); $(".js-view-count-work_72300431").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_72300431").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="72300431"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">5</a>  </div><span class="InlineList-item-text u-textTruncate u-pl9x"><a class="InlineList-item-text" data-has-card-for-ri="422" rel="nofollow" href="https://www.academia.edu/Documents/in/Computer_Science">Computer Science</a>, <script data-card-contents-for-ri="422" type="text/json">{"id":422,"name":"Computer Science","url":"https://www.academia.edu/Documents/in/Computer_Science?f_ri=422","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="2621" rel="nofollow" href="https://www.academia.edu/Documents/in/Higher_Education">Higher Education</a>, <script data-card-contents-for-ri="2621" type="text/json">{"id":2621,"name":"Higher Education","url":"https://www.academia.edu/Documents/in/Higher_Education?f_ri=422","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="96047" rel="nofollow" href="https://www.academia.edu/Documents/in/Case_Study">Case Study</a>, <script data-card-contents-for-ri="96047" type="text/json">{"id":96047,"name":"Case Study","url":"https://www.academia.edu/Documents/in/Case_Study?f_ri=422","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="124971" rel="nofollow" href="https://www.academia.edu/Documents/in/Education_Systems">Education Systems</a><script data-card-contents-for-ri="124971" type="text/json">{"id":124971,"name":"Education Systems","url":"https://www.academia.edu/Documents/in/Education_Systems?f_ri=422","nofollow":true}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=72300431]'), work: {"id":72300431,"title":"Learning in Small Task-Oriented Connectivist MOOCs : Pedagogical Issues and Implications for Higher Education","created_at":"2022-02-23T01:36:31.067-08:00","url":"https://www.academia.edu/72300431/Learning_in_Small_Task_Oriented_Connectivist_MOOCs_Pedagogical_Issues_and_Implications_for_Higher_Education?f_ri=422","dom_id":"work_72300431","summary":"Despite the increase in massive open online courses (MOOCs), evidence about the pedagogy of learning in MOOCs remains limited. This paper reports on an investigation into the pedagogy in one MOOC- Oxford Brookes University’s ‘First Steps in Learning and Teaching in Higher Education ’ MOOC (FSLT12). FSLT12 was an open and free professional development opportunity for people moving into HE teaching. It was a small course (200 participants registered from 24 countries) which was focused on introducing HE teaching skills, and, uniquely, to deliberately integrate open academic practice as a vital part of professional development for HE teachers. A qualitative, case-study approach was used in the research, based on surveys, interviews, and social media, to provide evidence about how people learned in this course and consider wider implications for teaching and learning in higher education. The evidence shows that participants who completed the course were able to learn autonomously and na...","downloadable_attachments":[{"id":81282208,"asset_id":72300431,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":491863,"first_name":"Elizabeth","last_name":"Lovegrove","domain_name":"oxfordbrookes","page_name":"ElizabethLovegrove","display_name":"Elizabeth Lovegrove","profile_url":"https://oxfordbrookes.academia.edu/ElizabethLovegrove?f_ri=422","photo":"https://0.academia-photos.com/491863/168072/25178610/s65_elizabeth.lovegrove.jpg"}],"research_interests":[{"id":422,"name":"Computer Science","url":"https://www.academia.edu/Documents/in/Computer_Science?f_ri=422","nofollow":true},{"id":2621,"name":"Higher Education","url":"https://www.academia.edu/Documents/in/Higher_Education?f_ri=422","nofollow":true},{"id":96047,"name":"Case Study","url":"https://www.academia.edu/Documents/in/Case_Study?f_ri=422","nofollow":true},{"id":124971,"name":"Education Systems","url":"https://www.academia.edu/Documents/in/Education_Systems?f_ri=422","nofollow":true},{"id":580226,"name":"MOOCs","url":"https://www.academia.edu/Documents/in/MOOCs?f_ri=422"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_80502021" data-work_id="80502021" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/80502021/EFFECTIVENESS_JUNE2022_new_book_copy">EFFECTIVENESS JUNE2022 new book copy</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">ALREADY LIVE ON AMAZON , buy now this ebook of methods from the world’s best in 63 professions. PEERLESS PRACTICAL TESTED not fact pile “literacy” but procedure literacy!! Essential for parenting and leading by us all. BUT TOUGH for... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_80502021" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">ALREADY LIVE ON AMAZON , buy now this ebook of methods from the world’s best in 63 professions. PEERLESS PRACTICAL TESTED not fact pile “literacy” but procedure literacy!!  Essential for parenting and leading by us all. BUT TOUGH for these methods come from the world’s best——they are not at all the way you now operate & the way I now operate—— they are a leap beyond us! Dozens of my former students have built profitable 10 year plus old consultancies based on single methods of the 100 methods in this book. There is no gigantic global corporation you cannot become VP or CEO of by riding just two or three of these 100 methods——nothing more than that is needed to get to the top. But i warn you—Each method in this book will require deep abiding changes in how you view things, value things, and what you aim for, plus, how you do and implement. The rewards are huge however and immediate! The book is extremely well ordered so you can study any method in any order without getting lost. Each method came from those at the top of 63 fields via being most effective BUT WITH added bits from other eminent ones doing something very similar but slightly better in this or that respect.  No one expert’s way of work was as good therefore in every detail as EACH of this ebook’s 100 methods. Rise above the tops of every field using this ebook!  Magic power!</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/80502021" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="2639febe1fb577f1c9fc3e5085b642cd" rel="nofollow" data-download="{"attachment_id":86862504,"asset_id":80502021,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/86862504/download_file?st=MTczODMyMzE5MSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="2952" href="https://197.academia.edu/RichardTaborGreene">Richard Tabor Greene</a><script data-card-contents-for-user="2952" type="text/json">{"id":2952,"first_name":"Richard Tabor","last_name":"Greene","domain_name":"197","page_name":"RichardTaborGreene","display_name":"Richard Tabor Greene","profile_url":"https://197.academia.edu/RichardTaborGreene?f_ri=422","photo":"https://0.academia-photos.com/2952/1288/3237733/s65_richard_tabor.greene.jpg"}</script></span></span></li><li class="js-paper-rank-work_80502021 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="80502021"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 80502021, container: ".js-paper-rank-work_80502021", }); });</script></li><li class="js-percentile-work_80502021 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 80502021; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_80502021"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_80502021 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="80502021"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 80502021; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=80502021]").text(description); $(".js-view-count-work_80502021").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_80502021").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="80502021"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">12</a>  </div><span class="InlineList-item-text u-textTruncate u-pl10x"><a class="InlineList-item-text" data-has-card-for-ri="26" rel="nofollow" href="https://www.academia.edu/Documents/in/Business">Business</a>, <script data-card-contents-for-ri="26" type="text/json">{"id":26,"name":"Business","url":"https://www.academia.edu/Documents/in/Business?f_ri=422","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="38" rel="nofollow" href="https://www.academia.edu/Documents/in/Management">Management</a>, <script data-card-contents-for-ri="38" type="text/json">{"id":38,"name":"Management","url":"https://www.academia.edu/Documents/in/Management?f_ri=422","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="48" rel="nofollow" href="https://www.academia.edu/Documents/in/Engineering">Engineering</a>, <script data-card-contents-for-ri="48" type="text/json">{"id":48,"name":"Engineering","url":"https://www.academia.edu/Documents/in/Engineering?f_ri=422","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="128" rel="nofollow" href="https://www.academia.edu/Documents/in/History">History</a><script data-card-contents-for-ri="128" type="text/json">{"id":128,"name":"History","url":"https://www.academia.edu/Documents/in/History?f_ri=422","nofollow":true}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=80502021]'), work: {"id":80502021,"title":"EFFECTIVENESS JUNE2022 new book copy","created_at":"2022-06-01T22:42:03.813-07:00","url":"https://www.academia.edu/80502021/EFFECTIVENESS_JUNE2022_new_book_copy?f_ri=422","dom_id":"work_80502021","summary":"ALREADY LIVE ON AMAZON , buy now this ebook of methods from the world’s best in 63 professions. PEERLESS PRACTICAL TESTED not fact pile “literacy” but procedure literacy!! Essential for parenting and leading by us all. BUT TOUGH for these methods come from the world’s best——they are not at all the way you now operate \u0026 the way I now operate—— they are a leap beyond us! Dozens of my former students have built profitable 10 year plus old consultancies based on single methods of the 100 methods in this book. There is no gigantic global corporation you cannot become VP or CEO of by riding just two or three of these 100 methods——nothing more than that is needed to get to the top. But i warn you—Each method in this book will require deep abiding changes in how you view things, value things, and what you aim for, plus, how you do and implement. The rewards are huge however and immediate! The book is extremely well ordered so you can study any method in any order without getting lost. Each method came from those at the top of 63 fields via being most effective BUT WITH added bits from other eminent ones doing something very similar but slightly better in this or that respect. No one expert’s way of work was as good therefore in every detail as EACH of this ebook’s 100 methods. Rise above the tops of every field using this ebook! Magic power!","downloadable_attachments":[{"id":86862504,"asset_id":80502021,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":2952,"first_name":"Richard Tabor","last_name":"Greene","domain_name":"197","page_name":"RichardTaborGreene","display_name":"Richard Tabor Greene","profile_url":"https://197.academia.edu/RichardTaborGreene?f_ri=422","photo":"https://0.academia-photos.com/2952/1288/3237733/s65_richard_tabor.greene.jpg"}],"research_interests":[{"id":26,"name":"Business","url":"https://www.academia.edu/Documents/in/Business?f_ri=422","nofollow":true},{"id":38,"name":"Management","url":"https://www.academia.edu/Documents/in/Management?f_ri=422","nofollow":true},{"id":48,"name":"Engineering","url":"https://www.academia.edu/Documents/in/Engineering?f_ri=422","nofollow":true},{"id":128,"name":"History","url":"https://www.academia.edu/Documents/in/History?f_ri=422","nofollow":true},{"id":184,"name":"Sociology","url":"https://www.academia.edu/Documents/in/Sociology?f_ri=422"},{"id":221,"name":"Psychology","url":"https://www.academia.edu/Documents/in/Psychology?f_ri=422"},{"id":422,"name":"Computer Science","url":"https://www.academia.edu/Documents/in/Computer_Science?f_ri=422"},{"id":724,"name":"Economics","url":"https://www.academia.edu/Documents/in/Economics?f_ri=422"},{"id":767,"name":"Anthropology","url":"https://www.academia.edu/Documents/in/Anthropology?f_ri=422"},{"id":922,"name":"Education","url":"https://www.academia.edu/Documents/in/Education?f_ri=422"},{"id":2418,"name":"Literature","url":"https://www.academia.edu/Documents/in/Literature?f_ri=422"},{"id":4486,"name":"Political Science","url":"https://www.academia.edu/Documents/in/Political_Science?f_ri=422"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_80481116" data-work_id="80481116" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" rel="nofollow" href="https://www.academia.edu/80481116/Digital_Humanities_ovvero_impiego_di_strumenti_informatici_nellambito_del_mondo_del_restauro">Digital Humanities ovvero impiego di strumenti informatici nell'ambito del mondo del restauro</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">Esiste un problema di fondo: il termine informatico che dovrebbe condurre all'identificazione di un determinato tipo di scienziato viene spesso scambiato, anche da persone 'apparentemente evolute', quale tecnico dei computer. Sarebbe come... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_80481116" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Esiste un problema di fondo: il termine informatico che dovrebbe condurre all'identificazione di un determinato tipo di scienziato viene spesso scambiato, anche da persone 'apparentemente evolute', quale tecnico dei<br />computer.<br />Sarebbe come ritenere, ad esempio, che un  archeologo è colui che si limita a manovrare pale, picconi, zappe, carriole, secchi, palette, scopette, spazzole e cazzuole.<br />E chi dovrebbe essere, quindi, a discutere di questioni 'archeologiche'? Tornando al mio stretto ambito sarebbe come mescolare ruoli e competenze di un Steven Paul Jobs con un Richard Stallman...</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/80481116" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="e06a248d11fd52303ca62cac6d7ee2a7" rel="nofollow" data-download="{"attachment_id":86848011,"asset_id":80481116,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/86848011/download_file?st=MTczODMyMzE5MSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="51981387" href="https://laquila.academia.edu/GiancarloBuzzanca">Giancarlo Buzzanca</a><script data-card-contents-for-user="51981387" type="text/json">{"id":51981387,"first_name":"Giancarlo","last_name":"Buzzanca","domain_name":"laquila","page_name":"GiancarloBuzzanca","display_name":"Giancarlo Buzzanca","profile_url":"https://laquila.academia.edu/GiancarloBuzzanca?f_ri=422","photo":"https://0.academia-photos.com/51981387/13756204/154014664/s65_giancarlo.buzzanca.jpg"}</script></span></span></li><li class="js-paper-rank-work_80481116 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="80481116"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 80481116, container: ".js-paper-rank-work_80481116", }); });</script></li><li class="js-percentile-work_80481116 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 80481116; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_80481116"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_80481116 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="80481116"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 80481116; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=80481116]").text(description); $(".js-view-count-work_80481116").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_80481116").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="80481116"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">2</a>  </div><span class="InlineList-item-text u-textTruncate u-pl9x"><a class="InlineList-item-text" data-has-card-for-ri="422" rel="nofollow" href="https://www.academia.edu/Documents/in/Computer_Science">Computer Science</a>, <script data-card-contents-for-ri="422" type="text/json">{"id":422,"name":"Computer Science","url":"https://www.academia.edu/Documents/in/Computer_Science?f_ri=422","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="1197" rel="nofollow" href="https://www.academia.edu/Documents/in/Digital_Humanities">Digital Humanities</a><script data-card-contents-for-ri="1197" type="text/json">{"id":1197,"name":"Digital Humanities","url":"https://www.academia.edu/Documents/in/Digital_Humanities?f_ri=422","nofollow":true}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=80481116]'), work: {"id":80481116,"title":"Digital Humanities ovvero impiego di strumenti informatici nell'ambito del mondo del restauro","created_at":"2022-06-01T13:29:43.391-07:00","url":"https://www.academia.edu/80481116/Digital_Humanities_ovvero_impiego_di_strumenti_informatici_nellambito_del_mondo_del_restauro?f_ri=422","dom_id":"work_80481116","summary":"Esiste un problema di fondo: il termine informatico che dovrebbe condurre all'identificazione di un determinato tipo di scienziato viene spesso scambiato, anche da persone 'apparentemente evolute', quale tecnico dei\ncomputer.\nSarebbe come ritenere, ad esempio, che un archeologo è colui che si limita a manovrare pale, picconi, zappe, carriole, secchi, palette, scopette, spazzole e cazzuole.\nE chi dovrebbe essere, quindi, a discutere di questioni 'archeologiche'? Tornando al mio stretto ambito sarebbe come mescolare ruoli e competenze di un Steven Paul Jobs con un Richard Stallman...","downloadable_attachments":[{"id":86848011,"asset_id":80481116,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":51981387,"first_name":"Giancarlo","last_name":"Buzzanca","domain_name":"laquila","page_name":"GiancarloBuzzanca","display_name":"Giancarlo Buzzanca","profile_url":"https://laquila.academia.edu/GiancarloBuzzanca?f_ri=422","photo":"https://0.academia-photos.com/51981387/13756204/154014664/s65_giancarlo.buzzanca.jpg"}],"research_interests":[{"id":422,"name":"Computer Science","url":"https://www.academia.edu/Documents/in/Computer_Science?f_ri=422","nofollow":true},{"id":1197,"name":"Digital Humanities","url":"https://www.academia.edu/Documents/in/Digital_Humanities?f_ri=422","nofollow":true}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_79927716" data-work_id="79927716" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" rel="nofollow" href="https://www.academia.edu/79927716/AndroCar_Mobile_Powered_Car_Security_System">AndroCar – Mobile Powered Car Security System</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">As smart phones, tablets and many other portable devices are getting closer and closer to the humankind, many technologies are being released day by day. Among them, security has been one major aspect where much research has been done.... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_79927716" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">As smart phones, tablets and many other portable devices are getting closer and closer to the humankind, many technologies are being released day by day. Among them, security has been one major aspect where much research has been done. Though modern vehicle security systems have been developed, there are certain limitations which are experienced in the practical usage of such applications. We realized that though many such systems were available, not many had the capability of providing a video feed via an IP along with triggering an alarm and so forth using a mobile device. The present systems in the market are quite expensive and use too advanced technologies which require specialist installation and maintenance. Mobile integration is also not as optimized as it should be. Therefore our main goal in this research was to “integrate” all these features and build a coherent mobile car security system with a centralized administration. The basic underlying idea of this project therefore is to provide a “practical” and a “cost effective” car security system to the general public. In this project, we provide a camera feed (via IP) of the vehicle to the vehicle owner to his / her mobile device and then enable the user to control the system remotely. It also can detect any human activity, using the switches and report it to the owner via an auto generated sms notification. We have used a web camera which is connected to a Raspberry Pi chipset and powered using a power bank, switches, LED bulbs, 2 speakers and a Wi-Fi adaptor to build the system. When someone tends to open the door lock of the vehicle, a switch which is situated under the door lock of the vehicle, will trigger giving a signal to activate the chipset and send a sms notification to the owner. Then the owner can get an instant view of the situation (on his mobile), and if he wishes to, he can take necessary steps to protect his vehicle from any danger. We have tested the implementation under lab conditions and the results have been quite satisfactory. We were able to achieve the main goals which we wanted to achieve. However it needs to be noted that if this is to be implemented commercially we would have to develop our system to use “port forwarding” (so that the owner may view the video from anywhere in the world), and a city-wide Wi-Fi network or a high-bandwidth data connection would be necessary (HSDPA / WCDMA) for the system to work smoothly.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/79927716" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="55537141" href="https://independent.academia.edu/SamithDilanka">Samith Dilanka</a><script data-card-contents-for-user="55537141" type="text/json">{"id":55537141,"first_name":"Samith","last_name":"Dilanka","domain_name":"independent","page_name":"SamithDilanka","display_name":"Samith Dilanka","profile_url":"https://independent.academia.edu/SamithDilanka?f_ri=422","photo":"/images/s65_no_pic.png"}</script></span></span></li><li class="js-paper-rank-work_79927716 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="79927716"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 79927716, container: ".js-paper-rank-work_79927716", }); });</script></li><li class="js-percentile-work_79927716 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 79927716; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_79927716"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_79927716 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="79927716"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 79927716; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=79927716]").text(description); $(".js-view-count-work_79927716").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_79927716").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="79927716"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">7</a>  </div><span class="InlineList-item-text u-textTruncate u-pl9x"><a class="InlineList-item-text" data-has-card-for-ri="422" rel="nofollow" href="https://www.academia.edu/Documents/in/Computer_Science">Computer Science</a>, <script data-card-contents-for-ri="422" type="text/json">{"id":422,"name":"Computer Science","url":"https://www.academia.edu/Documents/in/Computer_Science?f_ri=422","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="5473" rel="nofollow" href="https://www.academia.edu/Documents/in/Embedded_Systems">Embedded Systems</a>, <script data-card-contents-for-ri="5473" type="text/json">{"id":5473,"name":"Embedded Systems","url":"https://www.academia.edu/Documents/in/Embedded_Systems?f_ri=422","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="5766" rel="nofollow" href="https://www.academia.edu/Documents/in/Wireless_Systems">Wireless Systems</a>, <script data-card-contents-for-ri="5766" type="text/json">{"id":5766,"name":"Wireless Systems","url":"https://www.academia.edu/Documents/in/Wireless_Systems?f_ri=422","nofollow":true}</script><a class="InlineList-item-text" data-has-card-for-ri="37939" rel="nofollow" href="https://www.academia.edu/Documents/in/Arduino">Arduino</a><script data-card-contents-for-ri="37939" type="text/json">{"id":37939,"name":"Arduino","url":"https://www.academia.edu/Documents/in/Arduino?f_ri=422","nofollow":true}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=79927716]'), work: {"id":79927716,"title":"AndroCar – Mobile Powered Car Security System","created_at":"2022-05-25T18:49:28.863-07:00","url":"https://www.academia.edu/79927716/AndroCar_Mobile_Powered_Car_Security_System?f_ri=422","dom_id":"work_79927716","summary":"As smart phones, tablets and many other portable devices are getting closer and closer to the humankind, many technologies are being released day by day. Among them, security has been one major aspect where much research has been done. Though modern vehicle security systems have been developed, there are certain limitations which are experienced in the practical usage of such applications. We realized that though many such systems were available, not many had the capability of providing a video feed via an IP along with triggering an alarm and so forth using a mobile device. The present systems in the market are quite expensive and use too advanced technologies which require specialist installation and maintenance. Mobile integration is also not as optimized as it should be. Therefore our main goal in this research was to “integrate” all these features and build a coherent mobile car security system with a centralized administration. The basic underlying idea of this project therefore is to provide a “practical” and a “cost effective” car security system to the general public. In this project, we provide a camera feed (via IP) of the vehicle to the vehicle owner to his / her mobile device and then enable the user to control the system remotely. It also can detect any human activity, using the switches and report it to the owner via an auto generated sms notification. We have used a web camera which is connected to a Raspberry Pi chipset and powered using a power bank, switches, LED bulbs, 2 speakers and a Wi-Fi adaptor to build the system. When someone tends to open the door lock of the vehicle, a switch which is situated under the door lock of the vehicle, will trigger giving a signal to activate the chipset and send a sms notification to the owner. Then the owner can get an instant view of the situation (on his mobile), and if he wishes to, he can take necessary steps to protect his vehicle from any danger. We have tested the implementation under lab conditions and the results have been quite satisfactory. We were able to achieve the main goals which we wanted to achieve. However it needs to be noted that if this is to be implemented commercially we would have to develop our system to use “port forwarding” (so that the owner may view the video from anywhere in the world), and a city-wide Wi-Fi network or a high-bandwidth data connection would be necessary (HSDPA / WCDMA) for the system to work smoothly.","downloadable_attachments":[],"ordered_authors":[{"id":55537141,"first_name":"Samith","last_name":"Dilanka","domain_name":"independent","page_name":"SamithDilanka","display_name":"Samith Dilanka","profile_url":"https://independent.academia.edu/SamithDilanka?f_ri=422","photo":"/images/s65_no_pic.png"}],"research_interests":[{"id":422,"name":"Computer Science","url":"https://www.academia.edu/Documents/in/Computer_Science?f_ri=422","nofollow":true},{"id":5473,"name":"Embedded Systems","url":"https://www.academia.edu/Documents/in/Embedded_Systems?f_ri=422","nofollow":true},{"id":5766,"name":"Wireless Systems","url":"https://www.academia.edu/Documents/in/Wireless_Systems?f_ri=422","nofollow":true},{"id":37939,"name":"Arduino","url":"https://www.academia.edu/Documents/in/Arduino?f_ri=422","nofollow":true},{"id":158331,"name":"Python Programming","url":"https://www.academia.edu/Documents/in/Python_Programming?f_ri=422"},{"id":165242,"name":"Security Systems","url":"https://www.academia.edu/Documents/in/Security_Systems?f_ri=422"},{"id":563750,"name":"Raspberry Pi","url":"https://www.academia.edu/Documents/in/Raspberry_Pi?f_ri=422"}]}, }) } })();</script></ul></li></ul></div></div></div><div class="u-taCenter Pagination"><ul class="pagination"><li class="next_page"><a href="/Documents/in/Computer_Science?after=50%2C79927716" rel="next">Next</a></li><li class="last next"><a href="/Documents/in/Computer_Science?page=last">Last »</a></li></ul></div></div><div class="hidden-xs hidden-sm"><div class="u-pl6x"><div style="width: 300px;"><div class="panel panel-flat u-mt7x"><div class="panel-heading u-p5x"><div class="u-tcGrayDark u-taCenter u-fw700 u-textUppercase">Related Topics</div></div><ul class="list-group"><li class="list-group-item media_v2 u-mt0x u-p3x"><div class="media-body"><div class="u-tcGrayDarker u-fw700"><a class="u-tcGrayDarker" rel="nofollow" href="https://www.academia.edu/Documents/in/Artificial_Intelligence">Artificial Intelligence</a></div></div><div class="media-right media-middle"><a class="u-tcGreen u-textDecorationNone u-linkUnstyled u-fw500 hidden" data-follow-ri-id="465">Follow</a><a class="u-tcGray u-textDecorationNone u-linkUnstyled u-fw500 hidden" data-unfollow-ri-id="465">Following</a></div></li><li class="list-group-item media_v2 u-mt0x u-p3x"><div class="media-body"><div class="u-tcGrayDarker u-fw700"><a class="u-tcGrayDarker" rel="nofollow" href="https://www.academia.edu/Documents/in/Software_Engineering">Software Engineering</a></div></div><div class="media-right media-middle"><a class="u-tcGreen u-textDecorationNone u-linkUnstyled u-fw500 hidden" data-follow-ri-id="449">Follow</a><a class="u-tcGray u-textDecorationNone u-linkUnstyled u-fw500 hidden" data-unfollow-ri-id="449">Following</a></div></li><li class="list-group-item media_v2 u-mt0x u-p3x"><div class="media-body"><div class="u-tcGrayDarker u-fw700"><a class="u-tcGrayDarker" rel="nofollow" href="https://www.academia.edu/Documents/in/Computer_Vision">Computer Vision</a></div></div><div class="media-right media-middle"><a class="u-tcGreen u-textDecorationNone u-linkUnstyled u-fw500 hidden" data-follow-ri-id="854">Follow</a><a class="u-tcGray u-textDecorationNone u-linkUnstyled u-fw500 hidden" data-unfollow-ri-id="854">Following</a></div></li><li class="list-group-item media_v2 u-mt0x u-p3x"><div class="media-body"><div class="u-tcGrayDarker u-fw700"><a class="u-tcGrayDarker" rel="nofollow" href="https://www.academia.edu/Documents/in/Human_Computer_Interaction">Human Computer Interaction</a></div></div><div class="media-right media-middle"><a class="u-tcGreen u-textDecorationNone u-linkUnstyled u-fw500 hidden" data-follow-ri-id="472">Follow</a><a class="u-tcGray u-textDecorationNone u-linkUnstyled u-fw500 hidden" data-unfollow-ri-id="472">Following</a></div></li><li class="list-group-item media_v2 u-mt0x u-p3x"><div class="media-body"><div class="u-tcGrayDarker u-fw700"><a class="u-tcGrayDarker" rel="nofollow" href="https://www.academia.edu/Documents/in/Machine_Learning">Machine Learning</a></div></div><div class="media-right media-middle"><a class="u-tcGreen u-textDecorationNone u-linkUnstyled u-fw500 hidden" data-follow-ri-id="2008">Follow</a><a class="u-tcGray u-textDecorationNone u-linkUnstyled u-fw500 hidden" data-unfollow-ri-id="2008">Following</a></div></li><li class="list-group-item media_v2 u-mt0x u-p3x"><div class="media-body"><div class="u-tcGrayDarker u-fw700"><a class="u-tcGrayDarker" rel="nofollow" href="https://www.academia.edu/Documents/in/Data_Mining">Data Mining</a></div></div><div class="media-right media-middle"><a class="u-tcGreen u-textDecorationNone u-linkUnstyled u-fw500 hidden" data-follow-ri-id="2009">Follow</a><a class="u-tcGray u-textDecorationNone u-linkUnstyled u-fw500 hidden" data-unfollow-ri-id="2009">Following</a></div></li><li class="list-group-item media_v2 u-mt0x u-p3x"><div class="media-body"><div class="u-tcGrayDarker u-fw700"><a class="u-tcGrayDarker" rel="nofollow" href="https://www.academia.edu/Documents/in/Computer_Graphics">Computer Graphics</a></div></div><div class="media-right media-middle"><a class="u-tcGreen u-textDecorationNone u-linkUnstyled u-fw500 hidden" data-follow-ri-id="445">Follow</a><a class="u-tcGray u-textDecorationNone u-linkUnstyled u-fw500 hidden" data-unfollow-ri-id="445">Following</a></div></li><li class="list-group-item media_v2 u-mt0x u-p3x"><div class="media-body"><div class="u-tcGrayDarker u-fw700"><a class="u-tcGrayDarker" rel="nofollow" href="https://www.academia.edu/Documents/in/Distributed_Computing">Distributed Computing</a></div></div><div class="media-right media-middle"><a class="u-tcGreen u-textDecorationNone u-linkUnstyled u-fw500 hidden" data-follow-ri-id="440">Follow</a><a class="u-tcGray u-textDecorationNone u-linkUnstyled u-fw500 hidden" data-unfollow-ri-id="440">Following</a></div></li><li class="list-group-item media_v2 u-mt0x u-p3x"><div class="media-body"><div class="u-tcGrayDarker u-fw700"><a class="u-tcGrayDarker" rel="nofollow" href="https://www.academia.edu/Documents/in/Computer_Networks">Computer Networks</a></div></div><div class="media-right media-middle"><a class="u-tcGreen u-textDecorationNone u-linkUnstyled u-fw500 hidden" data-follow-ri-id="4252">Follow</a><a class="u-tcGray u-textDecorationNone u-linkUnstyled u-fw500 hidden" data-unfollow-ri-id="4252">Following</a></div></li><li class="list-group-item media_v2 u-mt0x u-p3x"><div class="media-body"><div class="u-tcGrayDarker u-fw700"><a class="u-tcGrayDarker" rel="nofollow" href="https://www.academia.edu/Documents/in/Cloud_Computing">Cloud Computing</a></div></div><div class="media-right media-middle"><a class="u-tcGreen u-textDecorationNone u-linkUnstyled u-fw500 hidden" data-follow-ri-id="26860">Follow</a><a class="u-tcGray u-textDecorationNone u-linkUnstyled u-fw500 hidden" data-unfollow-ri-id="26860">Following</a></div></li></ul></div></div></div></div></div></div><script>// MIT License // Copyright © 2011 Sebastian Tschan, https://blueimp.net // Permission is hereby granted, free of charge, to any person obtaining a copy of // this software and associated documentation files (the "Software"), to deal in // the Software without restriction, including without limitation the rights to // use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of // the Software, and to permit persons to whom the Software is furnished to do so, // subject to the following conditions: // The above copyright notice and this permission notice shall be included in all // copies or substantial portions of the Software. // THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR // IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS // FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR // COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER // IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN // CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. !function(n){"use strict";function d(n,t){var r=(65535&n)+(65535&t);return(n>>16)+(t>>16)+(r>>16)<<16|65535&r}function f(n,t,r,e,o,u){return d((c=d(d(t,n),d(e,u)))<<(f=o)|c>>>32-f,r);var c,f}function l(n,t,r,e,o,u,c){return f(t&r|~t&e,n,t,o,u,c)}function v(n,t,r,e,o,u,c){return f(t&e|r&~e,n,t,o,u,c)}function g(n,t,r,e,o,u,c){return f(t^r^e,n,t,o,u,c)}function m(n,t,r,e,o,u,c){return f(r^(t|~e),n,t,o,u,c)}function i(n,t){var r,e,o,u;n[t>>5]|=128<<t%32,n[14+(t+64>>>9<<4)]=t;for(var c=1732584193,f=-271733879,i=-1732584194,a=271733878,h=0;h<n.length;h+=16)c=l(r=c,e=f,o=i,u=a,n[h],7,-680876936),a=l(a,c,f,i,n[h+1],12,-389564586),i=l(i,a,c,f,n[h+2],17,606105819),f=l(f,i,a,c,n[h+3],22,-1044525330),c=l(c,f,i,a,n[h+4],7,-176418897),a=l(a,c,f,i,n[h+5],12,1200080426),i=l(i,a,c,f,n[h+6],17,-1473231341),f=l(f,i,a,c,n[h+7],22,-45705983),c=l(c,f,i,a,n[h+8],7,1770035416),a=l(a,c,f,i,n[h+9],12,-1958414417),i=l(i,a,c,f,n[h+10],17,-42063),f=l(f,i,a,c,n[h+11],22,-1990404162),c=l(c,f,i,a,n[h+12],7,1804603682),a=l(a,c,f,i,n[h+13],12,-40341101),i=l(i,a,c,f,n[h+14],17,-1502002290),c=v(c,f=l(f,i,a,c,n[h+15],22,1236535329),i,a,n[h+1],5,-165796510),a=v(a,c,f,i,n[h+6],9,-1069501632),i=v(i,a,c,f,n[h+11],14,643717713),f=v(f,i,a,c,n[h],20,-373897302),c=v(c,f,i,a,n[h+5],5,-701558691),a=v(a,c,f,i,n[h+10],9,38016083),i=v(i,a,c,f,n[h+15],14,-660478335),f=v(f,i,a,c,n[h+4],20,-405537848),c=v(c,f,i,a,n[h+9],5,568446438),a=v(a,c,f,i,n[h+14],9,-1019803690),i=v(i,a,c,f,n[h+3],14,-187363961),f=v(f,i,a,c,n[h+8],20,1163531501),c=v(c,f,i,a,n[h+13],5,-1444681467),a=v(a,c,f,i,n[h+2],9,-51403784),i=v(i,a,c,f,n[h+7],14,1735328473),c=g(c,f=v(f,i,a,c,n[h+12],20,-1926607734),i,a,n[h+5],4,-378558),a=g(a,c,f,i,n[h+8],11,-2022574463),i=g(i,a,c,f,n[h+11],16,1839030562),f=g(f,i,a,c,n[h+14],23,-35309556),c=g(c,f,i,a,n[h+1],4,-1530992060),a=g(a,c,f,i,n[h+4],11,1272893353),i=g(i,a,c,f,n[h+7],16,-155497632),f=g(f,i,a,c,n[h+10],23,-1094730640),c=g(c,f,i,a,n[h+13],4,681279174),a=g(a,c,f,i,n[h],11,-358537222),i=g(i,a,c,f,n[h+3],16,-722521979),f=g(f,i,a,c,n[h+6],23,76029189),c=g(c,f,i,a,n[h+9],4,-640364487),a=g(a,c,f,i,n[h+12],11,-421815835),i=g(i,a,c,f,n[h+15],16,530742520),c=m(c,f=g(f,i,a,c,n[h+2],23,-995338651),i,a,n[h],6,-198630844),a=m(a,c,f,i,n[h+7],10,1126891415),i=m(i,a,c,f,n[h+14],15,-1416354905),f=m(f,i,a,c,n[h+5],21,-57434055),c=m(c,f,i,a,n[h+12],6,1700485571),a=m(a,c,f,i,n[h+3],10,-1894986606),i=m(i,a,c,f,n[h+10],15,-1051523),f=m(f,i,a,c,n[h+1],21,-2054922799),c=m(c,f,i,a,n[h+8],6,1873313359),a=m(a,c,f,i,n[h+15],10,-30611744),i=m(i,a,c,f,n[h+6],15,-1560198380),f=m(f,i,a,c,n[h+13],21,1309151649),c=m(c,f,i,a,n[h+4],6,-145523070),a=m(a,c,f,i,n[h+11],10,-1120210379),i=m(i,a,c,f,n[h+2],15,718787259),f=m(f,i,a,c,n[h+9],21,-343485551),c=d(c,r),f=d(f,e),i=d(i,o),a=d(a,u);return[c,f,i,a]}function a(n){for(var t="",r=32*n.length,e=0;e<r;e+=8)t+=String.fromCharCode(n[e>>5]>>>e%32&255);return t}function h(n){var t=[];for(t[(n.length>>2)-1]=void 0,e=0;e<t.length;e+=1)t[e]=0;for(var r=8*n.length,e=0;e<r;e+=8)t[e>>5]|=(255&n.charCodeAt(e/8))<<e%32;return t}function e(n){for(var t,r="0123456789abcdef",e="",o=0;o<n.length;o+=1)t=n.charCodeAt(o),e+=r.charAt(t>>>4&15)+r.charAt(15&t);return e}function r(n){return unescape(encodeURIComponent(n))}function o(n){return a(i(h(t=r(n)),8*t.length));var t}function u(n,t){return function(n,t){var r,e,o=h(n),u=[],c=[];for(u[15]=c[15]=void 0,16<o.length&&(o=i(o,8*n.length)),r=0;r<16;r+=1)u[r]=909522486^o[r],c[r]=1549556828^o[r];return e=i(u.concat(h(t)),512+8*t.length),a(i(c.concat(e),640))}(r(n),r(t))}function t(n,t,r){return t?r?u(t,n):e(u(t,n)):r?o(n):e(o(n))}"function"==typeof define&&define.amd?define(function(){return t}):"object"==typeof module&&module.exports?module.exports=t:n.md5=t}(this);</script><script>window.AbTest = (function() { return { 'ab_test': (uniqueId, test_name, buckets) => { let override = new URLSearchParams(window.location.search).get(`ab_test[${test_name}]`); if ( override ) { return override; } const bucketNames = buckets.map((bucket) => { return typeof bucket === 'string' ? bucket : Object.keys(bucket)[0]; }); const weights = buckets.map((bucket) => { return typeof bucket === 'string' ? 1 : Object.values(bucket)[0]; }); const total = weights.reduce((sum, weight) => sum + weight); const hash = md5(`${uniqueId}${test_name}`); const hashNum = parseInt(hash.slice(-12), 16); let bucketPoint = total * (hashNum % 100000) / 100000; const bucket = bucketNames.find((_, i) => { if (weights[i] > bucketPoint) { return true; } bucketPoint -= weights[i]; return false; }); return bucket; } }; })();</script><div data-auto_select="false" data-client_id="331998490334-rsn3chp12mbkiqhl6e7lu2q0mlbu0f1b" data-landing_url="https://www.academia.edu/Documents/in/Computer_Science" data-login_uri="https://www.academia.edu/registrations/google_one_tap" data-moment_callback="onGoogleOneTapEvent" id="g_id_onload"></div><script>function onGoogleOneTapEvent(event) { var momentType = event.getMomentType(); var momentReason = null; if (event.isNotDisplayed()) { momentReason = event.getNotDisplayedReason(); } else if (event.isSkippedMoment()) { momentReason = event.getSkippedReason(); } else if (event.isDismissedMoment()) { momentReason = event.getDismissedReason(); } Aedu.arbitraryEvents.write('GoogleOneTapEvent', { moment_type: momentType, moment_reason: momentReason, }); }</script><script>(function() { var auvid = unescape( document.cookie .split(/; ?/) .find((s) => s.startsWith('auvid')) .substring(6)); var bucket = AbTest.ab_test(auvid, 'lo_ri_one_tap_google_sign_on', ['control', 'one_tap_google_sign_on']); if (bucket === 'control') return; var oneTapTag = document.createElement('script') oneTapTag.async = true oneTapTag.defer = true oneTapTag.src = 'https://accounts.google.com/gsi/client' document.body.appendChild(oneTapTag) })();</script></div></div></div> </div> <div class="bootstrap login"><div class="modal fade login-modal" id="login-modal"><div class="login-modal-dialog modal-dialog"><div class="modal-content"><div class="modal-header"><button class="close close" data-dismiss="modal" type="button"><span aria-hidden="true">×</span><span class="sr-only">Close</span></button><h4 class="modal-title text-center"><strong>Log In</strong></h4></div><div class="modal-body"><div class="row"><div class="col-xs-10 col-xs-offset-1"><button class="btn btn-fb btn-lg btn-block btn-v-center-content" id="login-facebook-oauth-button"><svg style="float: left; width: 19px; line-height: 1em; margin-right: .3em;" aria-hidden="true" focusable="false" data-prefix="fab" data-icon="facebook-square" class="svg-inline--fa fa-facebook-square fa-w-14" role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 448 512"><path fill="currentColor" d="M400 32H48A48 48 0 0 0 0 80v352a48 48 0 0 0 48 48h137.25V327.69h-63V256h63v-54.64c0-62.15 37-96.48 93.67-96.48 27.14 0 55.52 4.84 55.52 4.84v61h-31.27c-30.81 0-40.42 19.12-40.42 38.73V256h68.78l-11 71.69h-57.78V480H400a48 48 0 0 0 48-48V80a48 48 0 0 0-48-48z"></path></svg><small><strong>Log in</strong> with <strong>Facebook</strong></small></button><br /><button class="btn btn-google btn-lg btn-block btn-v-center-content" id="login-google-oauth-button"><svg style="float: left; width: 22px; line-height: 1em; margin-right: .3em;" aria-hidden="true" focusable="false" data-prefix="fab" data-icon="google-plus" class="svg-inline--fa fa-google-plus fa-w-16" role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 512 512"><path fill="currentColor" d="M256,8C119.1,8,8,119.1,8,256S119.1,504,256,504,504,392.9,504,256,392.9,8,256,8ZM185.3,380a124,124,0,0,1,0-248c31.3,0,60.1,11,83,32.3l-33.6,32.6c-13.2-12.9-31.3-19.1-49.4-19.1-42.9,0-77.2,35.5-77.2,78.1S142.3,334,185.3,334c32.6,0,64.9-19.1,70.1-53.3H185.3V238.1H302.2a109.2,109.2,0,0,1,1.9,20.7c0,70.8-47.5,121.2-118.8,121.2ZM415.5,273.8v35.5H380V273.8H344.5V238.3H380V202.8h35.5v35.5h35.2v35.5Z"></path></svg><small><strong>Log in</strong> with <strong>Google</strong></small></button><br /><style type="text/css">.sign-in-with-apple-button { width: 100%; height: 52px; border-radius: 3px; border: 1px solid black; cursor: pointer; }</style><script src="https://appleid.cdn-apple.com/appleauth/static/jsapi/appleid/1/en_US/appleid.auth.js" type="text/javascript"></script><div class="sign-in-with-apple-button" data-border="false" data-color="white" id="appleid-signin"><span   ="Sign Up with Apple" class="u-fs11"></span></div><script>AppleID.auth.init({ clientId: 'edu.academia.applesignon', scope: 'name email', redirectURI: 'https://www.academia.edu/sessions', state: "c2777bcc6e49dd5a387369da58acf2584ec7c58beba2b1697249f8c6c33e37ff", });</script><script>// Hacky way of checking if on fast loswp if (window.loswp == null) { (function() { const Google = window?.Aedu?.Auth?.OauthButton?.Login?.Google; const Facebook = window?.Aedu?.Auth?.OauthButton?.Login?.Facebook; if (Google) { new Google({ el: '#login-google-oauth-button', rememberMeCheckboxId: 'remember_me', track: null }); } if (Facebook) { new Facebook({ el: '#login-facebook-oauth-button', rememberMeCheckboxId: 'remember_me', track: null }); } })(); }</script></div></div></div><div class="modal-body"><div class="row"><div class="col-xs-10 col-xs-offset-1"><div class="hr-heading login-hr-heading"><span class="hr-heading-text">or</span></div></div></div></div><div class="modal-body"><div class="row"><div class="col-xs-10 col-xs-offset-1"><form class="js-login-form" action="https://www.academia.edu/sessions" accept-charset="UTF-8" method="post"><input type="hidden" name="authenticity_token" value="AoQjTU1mYTIRXVopMYbE6kwOZ7E5UoJh2FWDeAWJ3WaRq0yfKnOAxr8T6E5eHxrLU1ffvdYI-1sEWXAxUQjGdQ" autocomplete="off" /><div class="form-group"><label class="control-label" for="login-modal-email-input" style="font-size: 14px;">Email</label><input class="form-control" id="login-modal-email-input" name="login" type="email" /></div><div class="form-group"><label class="control-label" for="login-modal-password-input" style="font-size: 14px;">Password</label><input class="form-control" id="login-modal-password-input" name="password" type="password" /></div><input type="hidden" name="post_login_redirect_url" id="post_login_redirect_url" value="https://www.academia.edu/Documents/in/Computer_Science" autocomplete="off" /><div class="checkbox"><label><input type="checkbox" name="remember_me" id="remember_me" value="1" checked="checked" /><small style="font-size: 12px; margin-top: 2px; display: inline-block;">Remember me on this computer</small></label></div><br><input type="submit" name="commit" value="Log In" class="btn btn-primary btn-block btn-lg js-login-submit" data-disable-with="Log In" /></br></form><script>typeof window?.Aedu?.recaptchaManagedForm === 'function' && window.Aedu.recaptchaManagedForm( document.querySelector('.js-login-form'), document.querySelector('.js-login-submit') );</script><small style="font-size: 12px;"><br />or <a data-target="#login-modal-reset-password-container" data-toggle="collapse" href="javascript:void(0)">reset password</a></small><div class="collapse" id="login-modal-reset-password-container"><br /><div class="well margin-0x"><form class="js-password-reset-form" action="https://www.academia.edu/reset_password" accept-charset="UTF-8" method="post"><input type="hidden" name="authenticity_token" value="RFKhRVVk55oLouNVWZVB37GviKoIBpU8nm5Rir0eRPrXfc6XMnEGbqXsUTI2DJ_-rvYwpudc7AZCYqLD6Z9f6Q" autocomplete="off" /><p>Enter the email address you signed up with and we'll email you a reset link.</p><div class="form-group"><input class="form-control" name="email" type="email" /></div><script src="https://recaptcha.net/recaptcha/api.js" async defer></script> <script> var invisibleRecaptchaSubmit = function () { var closestForm = function (ele) { var curEle = ele.parentNode; while (curEle.nodeName !== 'FORM' && curEle.nodeName !== 'BODY'){ curEle = curEle.parentNode; } return curEle.nodeName === 'FORM' ? curEle : null }; var eles = document.getElementsByClassName('g-recaptcha'); if (eles.length > 0) { var form = closestForm(eles[0]); if (form) { form.submit(); } } }; </script> <input type="submit" data-sitekey="6Lf3KHUUAAAAACggoMpmGJdQDtiyrjVlvGJ6BbAj" data-callback="invisibleRecaptchaSubmit" class="g-recaptcha btn btn-primary btn-block" value="Email me a link" value=""/> </form></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/collapse-45805421cf446ca5adf7aaa1935b08a3a8d1d9a6cc5d91a62a2a3a00b20b3e6a.js"], function() { // from javascript_helper.rb $("#login-modal-reset-password-container").on("shown.bs.collapse", function() { $(this).find("input[type=email]").focus(); }); }); </script> </div></div></div><div class="modal-footer"><div class="text-center"><small style="font-size: 12px;">Need an account? <a rel="nofollow" href="https://www.academia.edu/signup">Click here to sign up</a></small></div></div></div></div></div></div><script>// If we are on subdomain or non-bootstrapped page, redirect to login page instead of showing modal (function(){ if (typeof $ === 'undefined') return; var host = window.location.hostname; if ((host === $domain || host === "www."+$domain) && (typeof $().modal === 'function')) { $("#nav_log_in").click(function(e) { // Don't follow the link and open the modal e.preventDefault(); $("#login-modal").on('shown.bs.modal', function() { $(this).find("#login-modal-email-input").focus() }).modal('show'); }); } })()</script> <div class="bootstrap" id="footer"><div class="footer-content clearfix text-center padding-top-7x" style="width:100%;"><ul class="footer-links-secondary footer-links-wide list-inline margin-bottom-1x"><li><a href="https://www.academia.edu/about">About</a></li><li><a href="https://www.academia.edu/press">Press</a></li><li><a href="https://www.academia.edu/documents">Papers</a></li><li><a href="https://www.academia.edu/topics">Topics</a></li><li><a href="https://www.academia.edu/journals">Academia.edu Journals</a></li><li><a rel="nofollow" href="https://www.academia.edu/hiring"><svg style="width: 13px; height: 13px;" aria-hidden="true" focusable="false" data-prefix="fas" data-icon="briefcase" class="svg-inline--fa fa-briefcase fa-w-16" role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 512 512"><path fill="currentColor" d="M320 336c0 8.84-7.16 16-16 16h-96c-8.84 0-16-7.16-16-16v-48H0v144c0 25.6 22.4 48 48 48h416c25.6 0 48-22.4 48-48V288H320v48zm144-208h-80V80c0-25.6-22.4-48-48-48H176c-25.6 0-48 22.4-48 48v48H48c-25.6 0-48 22.4-48 48v80h512v-80c0-25.6-22.4-48-48-48zm-144 0H192V96h128v32z"></path></svg> <strong>We're Hiring!</strong></a></li><li><a rel="nofollow" href="https://support.academia.edu/"><svg style="width: 12px; height: 12px;" aria-hidden="true" focusable="false" data-prefix="fas" data-icon="question-circle" class="svg-inline--fa fa-question-circle fa-w-16" role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 512 512"><path fill="currentColor" d="M504 256c0 136.997-111.043 248-248 248S8 392.997 8 256C8 119.083 119.043 8 256 8s248 111.083 248 248zM262.655 90c-54.497 0-89.255 22.957-116.549 63.758-3.536 5.286-2.353 12.415 2.715 16.258l34.699 26.31c5.205 3.947 12.621 3.008 16.665-2.122 17.864-22.658 30.113-35.797 57.303-35.797 20.429 0 45.698 13.148 45.698 32.958 0 14.976-12.363 22.667-32.534 33.976C247.128 238.528 216 254.941 216 296v4c0 6.627 5.373 12 12 12h56c6.627 0 12-5.373 12-12v-1.333c0-28.462 83.186-29.647 83.186-106.667 0-58.002-60.165-102-116.531-102zM256 338c-25.365 0-46 20.635-46 46 0 25.364 20.635 46 46 46s46-20.636 46-46c0-25.365-20.635-46-46-46z"></path></svg> <strong>Help Center</strong></a></li></ul><ul class="footer-links-tertiary list-inline margin-bottom-1x"><li class="small">Find new research papers in:</li><li class="small"><a href="https://www.academia.edu/Documents/in/Physics">Physics</a></li><li class="small"><a href="https://www.academia.edu/Documents/in/Chemistry">Chemistry</a></li><li class="small"><a href="https://www.academia.edu/Documents/in/Biology">Biology</a></li><li class="small"><a href="https://www.academia.edu/Documents/in/Health_Sciences">Health Sciences</a></li><li class="small"><a href="https://www.academia.edu/Documents/in/Ecology">Ecology</a></li><li class="small"><a href="https://www.academia.edu/Documents/in/Earth_Sciences">Earth Sciences</a></li><li class="small"><a href="https://www.academia.edu/Documents/in/Cognitive_Science">Cognitive Science</a></li><li class="small"><a href="https://www.academia.edu/Documents/in/Mathematics">Mathematics</a></li><li class="small"><a href="https://www.academia.edu/Documents/in/Computer_Science">Computer Science</a></li></ul></div></div><div class="DesignSystem" id="credit" style="width:100%;"><ul class="u-pl0x footer-links-legal list-inline"><li><a rel="nofollow" href="https://www.academia.edu/terms">Terms</a></li><li><a rel="nofollow" href="https://www.academia.edu/privacy">Privacy</a></li><li><a rel="nofollow" href="https://www.academia.edu/copyright">Copyright</a></li><li>Academia ©2025</li></ul></div><script> //<![CDATA[ window.detect_gmtoffset = true; window.Academia && window.Academia.set_gmtoffset && Academia.set_gmtoffset('/gmtoffset'); //]]> </script> <div id='overlay_background'></div> <div id='bootstrap-modal-container' class='bootstrap'></div> <div id='ds-modal-container' class='bootstrap DesignSystem'></div> <div id='full-screen-modal'></div> </div> </body> </html>