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>Jason Lee - 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': "profiles/works", 'action': "summary", 'controller_action': 'profiles/works#summary', '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="Gkc0h7nooj4MoEXFLQ_CSRMnHG3Nc6N_f3NeN7_mvccAvm8txOtkd_xJ85IGHFVw5Az--GAPe0tEexMuBqnSvg" /> <link rel="stylesheet" media="all" href="//a.academia-assets.com/assets/wow-3d36c19b4875b226bfed0fcba1dcea3f2fe61148383d97c0465c016b8c969290.css" /><link rel="stylesheet" media="all" href="//a.academia-assets.com/assets/social/home-79e78ce59bef0a338eb6540ec3d93b4a7952115b56c57f1760943128f4544d42.css" /><script type="application/ld+json">{"@context":"https://schema.org","@type":"ProfilePage","mainEntity":{"@context":"https://schema.org","@type":"Person","name":"Jason Lee","url":"https://independent.academia.edu/JasonLee337"},"dateCreated":"2017-07-04T18:00:05-07:00","dateModified":"2017-09-09T16:34:24-07:00"}</script><link rel="stylesheet" media="all" href="//a.academia-assets.com/assets/design_system/heading-95367dc03b794f6737f30123738a886cf53b7a65cdef98a922a98591d60063e3.css" /><link rel="stylesheet" media="all" href="//a.academia-assets.com/assets/design_system/button-8c9ae4b5c8a2531640c354d92a1f3579c8ff103277ef74913e34c8a76d4e6c00.css" /><link rel="stylesheet" media="all" href="//a.academia-assets.com/assets/design_system/body-170d1319f0e354621e81ca17054bb147da2856ec0702fe440a99af314a6338c5.css" /><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="author" content="jason lee" /> <meta name="description" content="Jason Lee: 73 Followers, 1 Following, 196 Research papers. Research interests: Supramolecular self-assembly, Supramolecular Chemistry, and Bioinorganic…" /> <meta name="google-site-verification" content="bKJMBZA7E43xhDOopFZkssMMkBRjvYERV-NaN4R6mrs" /> <script> var $controller_name = 'works'; var $action_name = "summary"; var $rails_env = 'production'; var $app_rev = 'b43f0aba9f037340a252c2534aaaefd344df803d'; 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":14008,"monthly_visitors":"108 million","monthly_visitor_count":108476212,"monthly_visitor_count_in_millions":108,"user_count":283801206,"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(1740599622000); window.Aedu.timeDifference = new Date().getTime() - 1740599622000; 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-1eb081e01ca8bc0c1b1d866df79d9eb4dd2c484e4beecf76e79a7806c72fee08.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-3d6a0fc1a24347dfb16a9ce3dfdd96bbf39cc6e1d390f2e12e20fc6249a397ed.js"></script> <script src="//a.academia-assets.com/assets/webpack_bundles/core_webpack.wjs-bundle-e3dc02fc8ca7230d51ed9d586e67606aa86cc41d5d96aec8224b0cfff74915da.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://independent.academia.edu/JasonLee337" /> </head>   <body class='c-profiles/works a-summary logged_out'>  <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"><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/hc/en-us"><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) { $dismissible.hide(); }); });</script> <script src="//a.academia-assets.com/assets/webpack_bundles/profile.wjs-bundle-558dcdcd1a5a51f573e001ebb5a718529adf360a558d9b2f7b373dc6f0d657af.js" defer="defer"></script><script>$viewedUser = Aedu.User.set_viewed( {"id":66130666,"first_name":"Jason","middle_initials":null,"last_name":"Lee","page_name":"JasonLee337","domain_name":"independent","created_at":"2017-07-04T18:00:05.715-07:00","display_name":"Jason Lee","url":"https://independent.academia.edu/JasonLee337","photo":"/images/s65_no_pic.png","has_photo":false,"is_analytics_public":false,"interests":[{"id":12694,"name":"Supramolecular self-assembly","url":"https://www.academia.edu/Documents/in/Supramolecular_self-assembly"},{"id":4493,"name":"Supramolecular Chemistry","url":"https://www.academia.edu/Documents/in/Supramolecular_Chemistry"},{"id":27426,"name":"Bioinorganic Chemistry","url":"https://www.academia.edu/Documents/in/Bioinorganic_Chemistry"},{"id":40957,"name":"Heterogeneous Catalysis","url":"https://www.academia.edu/Documents/in/Heterogeneous_Catalysis"},{"id":23698,"name":"Porphyrins","url":"https://www.academia.edu/Documents/in/Porphyrins"}]} ); if ($a.is_logged_in() && $viewedUser.is_current_user()) { $('body').addClass('profile-viewed-by-owner'); } $socialProfiles = []</script><div id="js-react-on-rails-context" style="display:none" data-rails-context="{"inMailer":false,"i18nLocale":"en","i18nDefaultLocale":"en","href":"https://independent.academia.edu/JasonLee337","location":"/JasonLee337","scheme":"https","host":"independent.academia.edu","port":null,"pathname":"/JasonLee337","search":null,"httpAcceptLanguage":null,"serverSide":false}"></div> <div class="js-react-on-rails-component" style="display:none" data-component-name="ProfileCheckPaperUpdate" data-props="{}" data-trace="false" data-dom-id="ProfileCheckPaperUpdate-react-component-e8fd6a25-4681-4081-ad00-5de59c12f708"></div> <div id="ProfileCheckPaperUpdate-react-component-e8fd6a25-4681-4081-ad00-5de59c12f708"></div> <div class="DesignSystem"><div class="onsite-ping" id="onsite-ping"></div></div><div class="profile-user-info DesignSystem"><div class="social-profile-container"><div class="left-panel-container"><div class="user-info-component-wrapper"><div class="user-summary-cta-container"><div class="user-summary-container"><div class="social-profile-avatar-container"><img class="profile-avatar u-positionAbsolute" border="0" alt="" src="//a.academia-assets.com/images/s200_no_pic.png" /></div><div class="title-container"><h1 class="ds2-5-heading-sans-serif-sm">Jason Lee</h1><div class="affiliations-container fake-truncate js-profile-affiliations"></div></div></div><div class="sidebar-cta-container"><button class="ds2-5-button hidden profile-cta-button grow js-profile-follow-button" data-broccoli-component="user-info.follow-button" data-click-track="profile-user-info-follow-button" data-follow-user-fname="Jason" data-follow-user-id="66130666" data-follow-user-source="profile_button" data-has-google="false"><span class="material-symbols-outlined" style="font-size: 20px" translate="no">add</span>Follow</button><button class="ds2-5-button hidden profile-cta-button grow js-profile-unfollow-button" data-broccoli-component="user-info.unfollow-button" data-click-track="profile-user-info-unfollow-button" data-unfollow-user-id="66130666"><span class="material-symbols-outlined" style="font-size: 20px" translate="no">done</span>Following</button></div></div><div class="user-stats-container"><a><div class="stat-container js-profile-followers"><p class="label">Followers</p><p class="data">73</p></div></a><a><div class="stat-container js-profile-followees" data-broccoli-component="user-info.followees-count" data-click-track="profile-expand-user-info-following"><p class="label">Following</p><p class="data">1</p></div></a><a><div class="stat-container js-profile-coauthors" data-broccoli-component="user-info.coauthors-count" data-click-track="profile-expand-user-info-coauthors"><p class="label">Co-author</p><p class="data">1</p></div></a><div class="js-mentions-count-container" style="display: none;"><a href="/JasonLee337/mentions"><div class="stat-container"><p class="label">Mentions</p><p class="data"></p></div></a></div><span><div class="stat-container"><p class="label"><span class="js-profile-total-view-text">Public Views</span></p><p class="data"><span class="js-profile-view-count"></span></p></div></span></div><div class="suggested-academics-container"><div class="suggested-academics--header"><p class="ds2-5-body-md-bold">Related Authors</p></div><ul class="suggested-user-card-list"><div class="suggested-user-card"><div class="suggested-user-card__avatar social-profile-avatar-container"><a href="https://saha.academia.edu/AlokmayDatta"><img class="profile-avatar u-positionAbsolute" alt="Alokmay Datta" border="0" onerror="if (this.src != '//a.academia-assets.com/images/s200_no_pic.png') this.src = '//a.academia-assets.com/images/s200_no_pic.png';" width="200" height="200" src="https://0.academia-photos.com/31102/10067/9506/s200_alokmay.datta.jpg" /></a></div><div class="suggested-user-card__user-info"><a class="suggested-user-card__user-info__header ds2-5-body-sm-bold ds2-5-body-link" href="https://saha.academia.edu/AlokmayDatta">Alokmay Datta</a><p class="suggested-user-card__user-info__subheader ds2-5-body-xs">Saha Institute of Nuclear Physics</p></div></div><div class="suggested-user-card"><div class="suggested-user-card__avatar social-profile-avatar-container"><a href="https://amity.academia.edu/SandipChakarborty"><img class="profile-avatar u-positionAbsolute" alt="Sandip Chakrabarti" border="0" onerror="if (this.src != '//a.academia-assets.com/images/s200_no_pic.png') this.src = '//a.academia-assets.com/images/s200_no_pic.png';" width="200" height="200" src="https://0.academia-photos.com/53358/16020/54591/s200_sandip.chakrabarti.53358" /></a></div><div class="suggested-user-card__user-info"><a class="suggested-user-card__user-info__header ds2-5-body-sm-bold ds2-5-body-link" href="https://amity.academia.edu/SandipChakarborty">Sandip Chakrabarti</a><p class="suggested-user-card__user-info__subheader ds2-5-body-xs">Amity University</p></div></div><div class="suggested-user-card"><div class="suggested-user-card__avatar social-profile-avatar-container"><a href="https://jyu.academia.edu/FabienCougnon"><img class="profile-avatar u-positionAbsolute" alt="Fabien Cougnon" border="0" onerror="if (this.src != '//a.academia-assets.com/images/s200_no_pic.png') this.src = '//a.academia-assets.com/images/s200_no_pic.png';" width="200" height="200" src="https://0.academia-photos.com/138293/36693/38851042/s200_fabien.cougnon.png" /></a></div><div class="suggested-user-card__user-info"><a class="suggested-user-card__user-info__header ds2-5-body-sm-bold ds2-5-body-link" href="https://jyu.academia.edu/FabienCougnon">Fabien Cougnon</a><p class="suggested-user-card__user-info__subheader ds2-5-body-xs">University of Jyväskylä</p></div></div><div class="suggested-user-card"><div class="suggested-user-card__avatar social-profile-avatar-container"><a href="https://nitrkl.academia.edu/SujitSen"><img class="profile-avatar u-positionAbsolute" alt="Sujit Sen" border="0" onerror="if (this.src != '//a.academia-assets.com/images/s200_no_pic.png') this.src = '//a.academia-assets.com/images/s200_no_pic.png';" width="200" height="200" src="https://0.academia-photos.com/216198/49328/27862770/s200_sujit.sen.jpg" /></a></div><div class="suggested-user-card__user-info"><a class="suggested-user-card__user-info__header ds2-5-body-sm-bold ds2-5-body-link" href="https://nitrkl.academia.edu/SujitSen">Sujit Sen</a><p class="suggested-user-card__user-info__subheader ds2-5-body-xs">National Institute of Technology Rourkela</p></div></div><div class="suggested-user-card"><div class="suggested-user-card__avatar social-profile-avatar-container"><a href="https://buap.academia.edu/EduardoTorres"><img class="profile-avatar u-positionAbsolute" alt="Eduardo Torres" border="0" onerror="if (this.src != '//a.academia-assets.com/images/s200_no_pic.png') this.src = '//a.academia-assets.com/images/s200_no_pic.png';" width="200" height="200" src="https://0.academia-photos.com/363168/111016/143171838/s200_eduardo.torres.jpg" /></a></div><div class="suggested-user-card__user-info"><a class="suggested-user-card__user-info__header ds2-5-body-sm-bold ds2-5-body-link" href="https://buap.academia.edu/EduardoTorres">Eduardo Torres</a><p class="suggested-user-card__user-info__subheader ds2-5-body-xs">(Benemérita) Universidad Autónoma de Puebla</p></div></div><div class="suggested-user-card"><div class="suggested-user-card__avatar social-profile-avatar-container"><a href="https://utexas.academia.edu/YuebingZheng"><img class="profile-avatar u-positionAbsolute" border="0" alt="" src="//a.academia-assets.com/images/s200_no_pic.png" /></a></div><div class="suggested-user-card__user-info"><a class="suggested-user-card__user-info__header ds2-5-body-sm-bold ds2-5-body-link" href="https://utexas.academia.edu/YuebingZheng">Yuebing Zheng</a><p class="suggested-user-card__user-info__subheader ds2-5-body-xs">The University of Texas at Austin</p></div></div><div class="suggested-user-card"><div class="suggested-user-card__avatar social-profile-avatar-container"><a href="https://upce.academia.edu/ManikannanRamaiyan"><img class="profile-avatar u-positionAbsolute" alt="Manikannan Ramaiyan" border="0" onerror="if (this.src != '//a.academia-assets.com/images/s200_no_pic.png') this.src = '//a.academia-assets.com/images/s200_no_pic.png';" width="200" height="200" src="https://0.academia-photos.com/2120553/688711/4803886/s200_manikannan.ramaiyan.jpg" /></a></div><div class="suggested-user-card__user-info"><a class="suggested-user-card__user-info__header ds2-5-body-sm-bold ds2-5-body-link" href="https://upce.academia.edu/ManikannanRamaiyan">Manikannan Ramaiyan</a><p class="suggested-user-card__user-info__subheader ds2-5-body-xs">University of Pardubice</p></div></div><div class="suggested-user-card"><div class="suggested-user-card__avatar social-profile-avatar-container"><a href="https://upc.academia.edu/ManelLis"><img class="profile-avatar u-positionAbsolute" alt="Manuel J Lis" border="0" onerror="if (this.src != '//a.academia-assets.com/images/s200_no_pic.png') this.src = '//a.academia-assets.com/images/s200_no_pic.png';" width="200" height="200" src="https://0.academia-photos.com/4673815/1964658/2321990/s200_manel.lis.jpg" /></a></div><div class="suggested-user-card__user-info"><a class="suggested-user-card__user-info__header ds2-5-body-sm-bold ds2-5-body-link" href="https://upc.academia.edu/ManelLis">Manuel J Lis</a><p class="suggested-user-card__user-info__subheader ds2-5-body-xs">Universitat Politecnica de Catalunya</p></div></div><div class="suggested-user-card"><div class="suggested-user-card__avatar social-profile-avatar-container"><a href="https://unime.academia.edu/GianmarcoMuna%C3%B2"><img class="profile-avatar u-positionAbsolute" alt="Gianmarco Munaò" border="0" onerror="if (this.src != '//a.academia-assets.com/images/s200_no_pic.png') this.src = '//a.academia-assets.com/images/s200_no_pic.png';" width="200" height="200" src="https://0.academia-photos.com/19095282/5309769/6067079/s200_gianmarco.muna_.jpg" /></a></div><div class="suggested-user-card__user-info"><a class="suggested-user-card__user-info__header ds2-5-body-sm-bold ds2-5-body-link" href="https://unime.academia.edu/GianmarcoMuna%C3%B2">Gianmarco Munaò</a><p class="suggested-user-card__user-info__subheader ds2-5-body-xs">University of Messina</p></div></div><div class="suggested-user-card"><div class="suggested-user-card__avatar social-profile-avatar-container"><a href="https://uniben.academia.edu/estherOlowu"><img class="profile-avatar u-positionAbsolute" alt="Esther F Adeogun" border="0" onerror="if (this.src != '//a.academia-assets.com/images/s200_no_pic.png') this.src = '//a.academia-assets.com/images/s200_no_pic.png';" width="200" height="200" src="https://0.academia-photos.com/26758530/7465979/8388875/s200_esther.olowu.jpg_oh_19842e2422c63b17e95dcfe1c0bc5419_oe_5593b338___gda___1431459196_b8da6b226e840433720c9512008d6604" /></a></div><div class="suggested-user-card__user-info"><a class="suggested-user-card__user-info__header ds2-5-body-sm-bold ds2-5-body-link" href="https://uniben.academia.edu/estherOlowu">Esther F Adeogun</a><p class="suggested-user-card__user-info__subheader ds2-5-body-xs">University of Benin</p></div></div></ul></div><div class="ri-section"><div class="ri-section-header"><span>Interests</span></div><div class="ri-tags-container"><a data-click-track="profile-user-info-expand-research-interests" data-has-card-for-ri-list="66130666" href="https://www.academia.edu/Documents/in/Supramolecular_self-assembly"><div id="js-react-on-rails-context" style="display:none" data-rails-context="{"inMailer":false,"i18nLocale":"en","i18nDefaultLocale":"en","href":"https://independent.academia.edu/JasonLee337","location":"/JasonLee337","scheme":"https","host":"independent.academia.edu","port":null,"pathname":"/JasonLee337","search":null,"httpAcceptLanguage":null,"serverSide":false}"></div> <div class="js-react-on-rails-component" style="display:none" data-component-name="Pill" data-props="{"color":"gray","children":["Supramolecular self-assembly"]}" data-trace="false" data-dom-id="Pill-react-component-586eab3e-73ce-477d-b917-5da13957c826"></div> <div id="Pill-react-component-586eab3e-73ce-477d-b917-5da13957c826"></div> </a><a data-click-track="profile-user-info-expand-research-interests" data-has-card-for-ri-list="66130666" href="https://www.academia.edu/Documents/in/Supramolecular_Chemistry"><div class="js-react-on-rails-component" style="display:none" data-component-name="Pill" data-props="{"color":"gray","children":["Supramolecular Chemistry"]}" data-trace="false" data-dom-id="Pill-react-component-51c6cb7c-a7c9-4f51-8376-9ba76527dae4"></div> <div id="Pill-react-component-51c6cb7c-a7c9-4f51-8376-9ba76527dae4"></div> </a><a data-click-track="profile-user-info-expand-research-interests" data-has-card-for-ri-list="66130666" href="https://www.academia.edu/Documents/in/Bioinorganic_Chemistry"><div class="js-react-on-rails-component" style="display:none" data-component-name="Pill" data-props="{"color":"gray","children":["Bioinorganic Chemistry"]}" data-trace="false" data-dom-id="Pill-react-component-b3385075-a0fe-46f7-9e5c-475c3531f2fe"></div> <div id="Pill-react-component-b3385075-a0fe-46f7-9e5c-475c3531f2fe"></div> </a><a data-click-track="profile-user-info-expand-research-interests" data-has-card-for-ri-list="66130666" href="https://www.academia.edu/Documents/in/Heterogeneous_Catalysis"><div class="js-react-on-rails-component" style="display:none" data-component-name="Pill" data-props="{"color":"gray","children":["Heterogeneous Catalysis"]}" data-trace="false" data-dom-id="Pill-react-component-b2929cda-071b-4255-961b-3ed375c99cf4"></div> <div id="Pill-react-component-b2929cda-071b-4255-961b-3ed375c99cf4"></div> </a><a data-click-track="profile-user-info-expand-research-interests" data-has-card-for-ri-list="66130666" href="https://www.academia.edu/Documents/in/Porphyrins"><div class="js-react-on-rails-component" style="display:none" data-component-name="Pill" data-props="{"color":"gray","children":["Porphyrins"]}" data-trace="false" data-dom-id="Pill-react-component-e9829c63-cc56-4b00-85b5-1f08c3b191b9"></div> <div id="Pill-react-component-e9829c63-cc56-4b00-85b5-1f08c3b191b9"></div> </a></div></div></div></div><div class="right-panel-container"><div class="user-content-wrapper"><div class="uploads-container" id="social-redesign-work-container"><div class="upload-header"><h2 class="ds2-5-heading-sans-serif-xs">Uploads</h2></div><div class="documents-container backbone-social-profile-documents" style="width: 100%;"><div class="u-taCenter"></div><div class="profile--tab_content_container js-tab-pane tab-pane active" id="all"><div class="profile--tab_heading_container js-section-heading" data-section="Papers" id="Papers"><h3 class="profile--tab_heading_container">Papers by Jason Lee</h3></div><div class="js-work-strip profile--work_container" data-work-id="34523557"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/34523557/Mobility_enhancement_of_SSOI_devices_fabricated_with_sacrificial_thin_relaxed_SiGe"><img alt="Research paper thumbnail of Mobility enhancement of SSOI devices fabricated with sacrificial thin relaxed SiGe" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/34523557/Mobility_enhancement_of_SSOI_devices_fabricated_with_sacrificial_thin_relaxed_SiGe">Mobility enhancement of SSOI devices fabricated with sacrificial thin relaxed SiGe</a></div><div class="wp-workCard_item"><span>2004 Ieee International Soi Conference</span><span>, Nov 4, 2004</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">NMOS and PMOS devices have been successfully fabricated on SSOI wafers with a 20 nm strained Si l...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">NMOS and PMOS devices have been successfully fabricated on SSOI wafers with a 20 nm strained Si layer. The electron and hole mobility enhancements are 115% and 45%, respectively. The SSOI wafer was fabricated by direct wafer bonding with the strained Si on thin SiGe (300 nm) virtual substrate transferred to the oxidized handle wafer by splitting. Strained SiGe depositing</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="34523557"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="34523557"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 34523557; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=34523557]").text(description); $(".js-view-count[data-work-id=34523557]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 34523557; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='34523557']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=34523557]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":34523557,"title":"Mobility enhancement of SSOI devices fabricated with sacrificial thin relaxed SiGe","internal_url":"https://www.academia.edu/34523557/Mobility_enhancement_of_SSOI_devices_fabricated_with_sacrificial_thin_relaxed_SiGe","owner_id":66130666,"coauthors_can_edit":true,"owner":{"id":66130666,"first_name":"Jason","middle_initials":null,"last_name":"Lee","page_name":"JasonLee337","domain_name":"independent","created_at":"2017-07-04T18:00:05.715-07:00","display_name":"Jason Lee","url":"https://independent.academia.edu/JasonLee337"},"attachments":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="34523556"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/34523556/An_Evaluation_of_Ballast_Tank_Corrosion_in_Hypoxic_Seawater"><img alt="Research paper thumbnail of An Evaluation of Ballast Tank Corrosion in Hypoxic Seawater" class="work-thumbnail" src="https://attachments.academia-assets.com/54388739/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/34523556/An_Evaluation_of_Ballast_Tank_Corrosion_in_Hypoxic_Seawater">An Evaluation of Ballast Tank Corrosion in Hypoxic Seawater</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The public reporting burden for this collection of information is estimated to average 1 hour per...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">The public reporting burden for this collection of information is estimated to average 1 hour per response, including the time for reviewing instructions, searching existing data sources, gathering and maintaining the data needed, and completing and reviewing the collection of information, Send comments regarding this burden estimate or any other aspect of this collection of information, including suggestions for reducing the burden, to the Department of Defense, Executive Services and Communications Directorate (0704-0188). Respondents should be aware that notwithstanding any other provision of law, no person shall be subject to any penalty for failing to comply with a collection of information if it does not display a currently valid OMB control number.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="d09a0e53e279437a084d4a3c29d3dc66" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":54388739,"asset_id":34523556,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/54388739/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="34523556"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="34523556"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 34523556; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=34523556]").text(description); $(".js-view-count[data-work-id=34523556]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 34523556; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='34523556']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "d09a0e53e279437a084d4a3c29d3dc66" } } $('.js-work-strip[data-work-id=34523556]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":34523556,"title":"An Evaluation of Ballast Tank Corrosion in Hypoxic Seawater","internal_url":"https://www.academia.edu/34523556/An_Evaluation_of_Ballast_Tank_Corrosion_in_Hypoxic_Seawater","owner_id":66130666,"coauthors_can_edit":true,"owner":{"id":66130666,"first_name":"Jason","middle_initials":null,"last_name":"Lee","page_name":"JasonLee337","domain_name":"independent","created_at":"2017-07-04T18:00:05.715-07:00","display_name":"Jason Lee","url":"https://independent.academia.edu/JasonLee337"},"attachments":[{"id":54388739,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/54388739/thumbnails/1.jpg","file_name":"ADA448914.pdf","download_url":"https://www.academia.edu/attachments/54388739/download_file","bulk_download_file_name":"An_Evaluation_of_Ballast_Tank_Corrosion.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/54388739/ADA448914-libre.pdf?1505000467=\u0026response-content-disposition=attachment%3B+filename%3DAn_Evaluation_of_Ballast_Tank_Corrosion.pdf\u0026Expires=1740603222\u0026Signature=e5FcMo02trn~fPZ2GveDPBi-Cuij-~j8GcJKJ2VeJxlsMVYAI5cOEAMkrBAr5ESklyH2itwKCvR1COF6XSmiaCXNRy3OSXx3Ld1qhb9MyyIjkal8Dg1RC8TEXpPcxpbj0LxhmhE3DcgZ5QWdvXuEjyrTJz4lp0hWQRHLCmOtY9YsuVm49TcOKSJ-Y0eCD-imA4rnfN~On-l4s89xjAQvNaH~s8dui5atdxijlC~ubNtrJSe0kxchahnpbHeYoYZlFfG3z7l0wJOuD1gLTkYI~exPlzCUYS2ipVsP-3mHbXIT8MN5SKJ4gqPX7jOY4beQvY35rftxs~~IPww3X3w6WQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="34523555"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/34523555/An_integrated_multimodality_image_guided_robot_system_for_small_animal_imaging_research"><img alt="Research paper thumbnail of An integrated multimodality image-guided robot system for small-animal imaging research" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/34523555/An_integrated_multimodality_image_guided_robot_system_for_small_animal_imaging_research">An integrated multimodality image-guided robot system for small-animal imaging research</a></div><div class="wp-workCard_item"><span>Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment</span><span>, 2011</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">We design and construct an image-guided robot system for use in small-animal imaging research. Th...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">We design and construct an image-guided robot system for use in small-animal imaging research. This device allows the use of co-registered small-animal PET–MRI images to guide the movements of robotic controllers, which will accurately place a needle probe at any predetermined location inside, for example, a mouse tumor, for biological readouts without sacrificing the animal. This system is composed of three major components: an automated robot device, a CCD monitoring mechanism, and a multimodality registration implementation. Specifically, the CCD monitoring mechanism was used for correction and validation of the robot device. To demonstrate the value of the proposed system, we performed a tumor hypoxia study that involved FMISO small-animal PET imaging and the delivering of a pO2 probe into the mouse tumor using the image-guided robot system. During our evaluation, the needle positioning error was found to be within 0.153±0.042mm of desired placement; the phantom simulation errors were within 0.693±0.128mm. In small-animal studies, the pO2 probe measurements in the corresponding hypoxia areas showed good correlation with significant, low tissue oxygen tensions (less than 6mmHg). We have confirmed the feasibility of the system and successfully applied it to small-animal investigations. The system could be easily adapted to extend to other biomedical investigations in the future.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="34523555"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="34523555"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 34523555; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=34523555]").text(description); $(".js-view-count[data-work-id=34523555]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 34523555; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='34523555']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=34523555]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":34523555,"title":"An integrated multimodality image-guided robot system for small-animal imaging research","internal_url":"https://www.academia.edu/34523555/An_integrated_multimodality_image_guided_robot_system_for_small_animal_imaging_research","owner_id":66130666,"coauthors_can_edit":true,"owner":{"id":66130666,"first_name":"Jason","middle_initials":null,"last_name":"Lee","page_name":"JasonLee337","domain_name":"independent","created_at":"2017-07-04T18:00:05.715-07:00","display_name":"Jason Lee","url":"https://independent.academia.edu/JasonLee337"},"attachments":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="34523554"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/34523554/Qualitative_and_semi_quantitative_evaluation_of_myocardium_perfusion_with_3_T_stress_cardiac_MRI"><img alt="Research paper thumbnail of Qualitative and semi-quantitative evaluation of myocardium perfusion with 3 T stress cardiac MRI" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/34523554/Qualitative_and_semi_quantitative_evaluation_of_myocardium_perfusion_with_3_T_stress_cardiac_MRI">Qualitative and semi-quantitative evaluation of myocardium perfusion with 3 T stress cardiac MRI</a></div><div class="wp-workCard_item"><span>BMC cardiovascular disorders</span><span>, Jan 7, 2015</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">3 T MRI has been adopted by some centers as the primary choice for assessment of myocardial perfu...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">3 T MRI has been adopted by some centers as the primary choice for assessment of myocardial perfusion over conventional 1.5 T MRI. However, there is no data published on the potential additional value of incorporating semi-quantitative data from 3 T MRI. This study sought to determine the performance of qualitative 3 T stress magnetic resonance myocardial perfusion imaging (3 T-MRMPI) and the potential incremental benefit of using a semi-quantitative perfusion technique in patients with suspected coronary artery disease (CAD). Fifty eight patients (41 men; mean age: 59 years) referred for elective diagnostic angiography underwent stress 3 T MRMPI with a 32-channel cardiac receiver coil. The MR protocol included gadolinium-enhanced stress first-pass perfusion (0.56 mg/kg, dipyridamole), rest perfusion, and delayed enhancement (DE). Visual analysis was performed in two steps. Ischemia was defined as a territory with perfusion defect at stress study but no DE or a territory with DE but...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="34523554"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="34523554"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 34523554; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=34523554]").text(description); $(".js-view-count[data-work-id=34523554]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 34523554; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='34523554']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=34523554]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":34523554,"title":"Qualitative and semi-quantitative evaluation of myocardium perfusion with 3 T stress cardiac MRI","internal_url":"https://www.academia.edu/34523554/Qualitative_and_semi_quantitative_evaluation_of_myocardium_perfusion_with_3_T_stress_cardiac_MRI","owner_id":66130666,"coauthors_can_edit":true,"owner":{"id":66130666,"first_name":"Jason","middle_initials":null,"last_name":"Lee","page_name":"JasonLee337","domain_name":"independent","created_at":"2017-07-04T18:00:05.715-07:00","display_name":"Jason Lee","url":"https://independent.academia.edu/JasonLee337"},"attachments":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="34523553"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/34523553/Novel_colossal_magnetoresistive_thin_film_nonvolatile_resistance_random_access_memory_RRAM_"><img alt="Research paper thumbnail of Novel colossal magnetoresistive thin film nonvolatile resistance random access memory (RRAM)" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/34523553/Novel_colossal_magnetoresistive_thin_film_nonvolatile_resistance_random_access_memory_RRAM_">Novel colossal magnetoresistive thin film nonvolatile resistance random access memory (RRAM)</a></div><div class="wp-workCard_item"><span>Digest. International Electron Devices Meeting,</span><span>, 2002</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Abstract A novel nonvolatile memory Colossal Magnetoresistive (CMR) thin film resistor for Resist...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Abstract A novel nonvolatile memory Colossal Magnetoresistive (CMR) thin film resistor for Resistance RAM (RRAM) application has been characterized. A 1RIT RRAM test circuit based on 0.5 μm CMOS has been fabricated. RRAM is a low power high-speed memory ...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="34523553"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="34523553"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 34523553; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=34523553]").text(description); $(".js-view-count[data-work-id=34523553]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 34523553; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='34523553']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=34523553]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":34523553,"title":"Novel colossal magnetoresistive thin film nonvolatile resistance random access memory (RRAM)","internal_url":"https://www.academia.edu/34523553/Novel_colossal_magnetoresistive_thin_film_nonvolatile_resistance_random_access_memory_RRAM_","owner_id":66130666,"coauthors_can_edit":true,"owner":{"id":66130666,"first_name":"Jason","middle_initials":null,"last_name":"Lee","page_name":"JasonLee337","domain_name":"independent","created_at":"2017-07-04T18:00:05.715-07:00","display_name":"Jason Lee","url":"https://independent.academia.edu/JasonLee337"},"attachments":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="34523551"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/34523551/Quantification_of_peri_aortic_root_fat_from_non_contrast_ECG_gated_cardiac_computed_tomography"><img alt="Research paper thumbnail of Quantification of peri-aortic root fat from non-contrast ECG-gated cardiac computed tomography" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/34523551/Quantification_of_peri_aortic_root_fat_from_non_contrast_ECG_gated_cardiac_computed_tomography">Quantification of peri-aortic root fat from non-contrast ECG-gated cardiac computed tomography</a></div><div class="wp-workCard_item"><span>Data in Brief</span><span>, 2015</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">In this data, we present the details of the cross-sectional study from Mackay Memorial Hospital, ...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">In this data, we present the details of the cross-sectional study from Mackay Memorial Hospital, Taipei, Taiwan that examined the relationship between three-dimensional (3D) peri-aortic root fat (PARF) volumes, cardiometabolic risk profiles, carotid artery morphology and remodeling. Our sample is composed of a total 1492 adults who underwent an annual cardiovascular risk survey in Taiwan. PARF was measured using images of gated non-contrast cardiac computed tomography (CT) and a dedicated workstation (Aquarius 3D Workstation, TeraRecon, San Mateo, CA, USA). The stratified analyses were performed in order to assess the association between carotid morphology, remodeling and PARF by tertile. For further analyses and discussion, please see &amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;quot;The Association among Peri-Aortic Root Adipose Tissue, Metabolic derangements and Burden of Atherosclerosis in Asymptomatic Population&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;quot; by Yun et al. (2015) [1].</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="34523551"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="34523551"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 34523551; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=34523551]").text(description); $(".js-view-count[data-work-id=34523551]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 34523551; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='34523551']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=34523551]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":34523551,"title":"Quantification of peri-aortic root fat from non-contrast ECG-gated cardiac computed tomography","internal_url":"https://www.academia.edu/34523551/Quantification_of_peri_aortic_root_fat_from_non_contrast_ECG_gated_cardiac_computed_tomography","owner_id":66130666,"coauthors_can_edit":true,"owner":{"id":66130666,"first_name":"Jason","middle_initials":null,"last_name":"Lee","page_name":"JasonLee337","domain_name":"independent","created_at":"2017-07-04T18:00:05.715-07:00","display_name":"Jason Lee","url":"https://independent.academia.edu/JasonLee337"},"attachments":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="34523550"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/34523550/A_positron_emission_tomography_computed_tomography_PET_CT_acquisition_protocol_for_CT_radiation_dose_optimization"><img alt="Research paper thumbnail of A positron emission tomography/computed tomography (PET/CT) acquisition protocol for CT radiation dose optimization" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/34523550/A_positron_emission_tomography_computed_tomography_PET_CT_acquisition_protocol_for_CT_radiation_dose_optimization">A positron emission tomography/computed tomography (PET/CT) acquisition protocol for CT radiation dose optimization</a></div><div class="wp-workCard_item"><span>Nuclear Medicine Communications</span><span>, 2005</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="34523550"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="34523550"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 34523550; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=34523550]").text(description); $(".js-view-count[data-work-id=34523550]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 34523550; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='34523550']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=34523550]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":34523550,"title":"A positron emission tomography/computed tomography (PET/CT) acquisition protocol for CT radiation dose optimization","internal_url":"https://www.academia.edu/34523550/A_positron_emission_tomography_computed_tomography_PET_CT_acquisition_protocol_for_CT_radiation_dose_optimization","owner_id":66130666,"coauthors_can_edit":true,"owner":{"id":66130666,"first_name":"Jason","middle_initials":null,"last_name":"Lee","page_name":"JasonLee337","domain_name":"independent","created_at":"2017-07-04T18:00:05.715-07:00","display_name":"Jason Lee","url":"https://independent.academia.edu/JasonLee337"},"attachments":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="34523549"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/34523549/The_association_among_peri_aortic_root_adipose_tissue_metabolic_derangements_and_burden_of_atherosclerosis_in_asymptomatic_population"><img alt="Research paper thumbnail of The association among peri-aortic root adipose tissue, metabolic derangements and burden of atherosclerosis in asymptomatic population" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/34523549/The_association_among_peri_aortic_root_adipose_tissue_metabolic_derangements_and_burden_of_atherosclerosis_in_asymptomatic_population">The association among peri-aortic root adipose tissue, metabolic derangements and burden of atherosclerosis in asymptomatic population</a></div><div class="wp-workCard_item"><span>Journal of cardiovascular computed tomography</span><span>, Jan 22, 2015</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">To describe the relationship between a novel measurement of peri-arotic root fat and ultrasound m...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">To describe the relationship between a novel measurement of peri-arotic root fat and ultrasound measures of carotid artery remodeling. We studied 1492 consecutive subjects (mean age: 51.04 ± 8.97 years, 27% females) who underwent an annual cardiovascular risk survey in Taiwan. Peri-aortic root fat (PARF) was assessed by cardiac CT using three-dimensional (3D) volume assessment. Carotid artery morphology and remodeling were assessed by ultrasound. We explored the relationships between PARF volumes, cardiometabolic risk profiles and carotid morphology and remodeling. Mean PARF volume in current study was 20.8 ± 10.6 ml. PARF was positively correlated with measures of general adiposity, systemic inflammation, and several traditional cardiometabolic risk profiles (all p &lt; 0.001) and successfully predicted metabolic syndrome (MetS) (AUROC: 0.75, 95%, confidence interval: 0.72-0.77). Higher PARF was independently associated with increased carotid artery intima-media thickness (IMT) (β-...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="34523549"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="34523549"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 34523549; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=34523549]").text(description); $(".js-view-count[data-work-id=34523549]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 34523549; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='34523549']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=34523549]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":34523549,"title":"The association among peri-aortic root adipose tissue, metabolic derangements and burden of atherosclerosis in asymptomatic population","internal_url":"https://www.academia.edu/34523549/The_association_among_peri_aortic_root_adipose_tissue_metabolic_derangements_and_burden_of_atherosclerosis_in_asymptomatic_population","owner_id":66130666,"coauthors_can_edit":true,"owner":{"id":66130666,"first_name":"Jason","middle_initials":null,"last_name":"Lee","page_name":"JasonLee337","domain_name":"independent","created_at":"2017-07-04T18:00:05.715-07:00","display_name":"Jason Lee","url":"https://independent.academia.edu/JasonLee337"},"attachments":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="34523548"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/34523548/Integrating_Service_Level_Agreements_Optimising_Your_OSS_for_SLA_Delivery"><img alt="Research paper thumbnail of Integrating Service Level Agreements: Optimising Your OSS for SLA Delivery" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/34523548/Integrating_Service_Level_Agreements_Optimising_Your_OSS_for_SLA_Delivery">Integrating Service Level Agreements: Optimising Your OSS for SLA Delivery</a></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="34523548"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="34523548"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 34523548; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=34523548]").text(description); $(".js-view-count[data-work-id=34523548]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 34523548; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='34523548']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=34523548]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":34523548,"title":"Integrating Service Level Agreements: Optimising Your OSS for SLA Delivery","internal_url":"https://www.academia.edu/34523548/Integrating_Service_Level_Agreements_Optimising_Your_OSS_for_SLA_Delivery","owner_id":66130666,"coauthors_can_edit":true,"owner":{"id":66130666,"first_name":"Jason","middle_initials":null,"last_name":"Lee","page_name":"JasonLee337","domain_name":"independent","created_at":"2017-07-04T18:00:05.715-07:00","display_name":"Jason Lee","url":"https://independent.academia.edu/JasonLee337"},"attachments":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="34523547"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/34523547/Characterization_of_the_Univariate_and_Multivariate_Techniques_on_the_Analysis_of_Simulated_and_fMRI_Datasets_with_Visual_Task"><img alt="Research paper thumbnail of Characterization of the Univariate and Multivariate Techniques on the Analysis of Simulated and fMRI Datasets with Visual Task" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/34523547/Characterization_of_the_Univariate_and_Multivariate_Techniques_on_the_Analysis_of_Simulated_and_fMRI_Datasets_with_Visual_Task">Characterization of the Univariate and Multivariate Techniques on the Analysis of Simulated and fMRI Datasets with Visual Task</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Current analytical techniques applied to functional MRI (fMRI) data may be generally divided into...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Current analytical techniques applied to functional MRI (fMRI) data may be generally divided into two parts: univariate and multivariate techniques. It is therefore our attempt to evaluate and intercompare their respective algorithms on simulated and fMRI visual task data sets. In this study, the two representative univariate approaches, including the correlation and the specified-resolution wavelet analytical methods, and three multivariate based independent component analysis (ICA) approaches; including the Infomax ICA, the Fast ICA, and the JADE ICA are used for the purposes. Two simulated spatial sources with different time courses and noise levels and one fMRI dataset with visual task were employed for intercomparisons. Strategies for quantifying the performance of these techniques, the correlation analysis and receiver operating characteristics (ROC) are used to evaluate their respective accuracies on estimated time-courses and spatial layouts from the simulated and the fMRI v...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="34523547"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="34523547"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 34523547; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=34523547]").text(description); $(".js-view-count[data-work-id=34523547]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 34523547; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='34523547']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=34523547]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":34523547,"title":"Characterization of the Univariate and Multivariate Techniques on the Analysis of Simulated and fMRI Datasets with Visual Task","internal_url":"https://www.academia.edu/34523547/Characterization_of_the_Univariate_and_Multivariate_Techniques_on_the_Analysis_of_Simulated_and_fMRI_Datasets_with_Visual_Task","owner_id":66130666,"coauthors_can_edit":true,"owner":{"id":66130666,"first_name":"Jason","middle_initials":null,"last_name":"Lee","page_name":"JasonLee337","domain_name":"independent","created_at":"2017-07-04T18:00:05.715-07:00","display_name":"Jason Lee","url":"https://independent.academia.edu/JasonLee337"},"attachments":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="34523546"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/34523546/Evaluation_of_material_property_requirements_and_performance_of_ultra_low_dielectric_constant_insulators_for_inlaid_copper_metallization"><img alt="Research paper thumbnail of Evaluation of material property requirements and performance of ultra-low dielectric constant insulators for inlaid copper metallization" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/34523546/Evaluation_of_material_property_requirements_and_performance_of_ultra_low_dielectric_constant_insulators_for_inlaid_copper_metallization">Evaluation of material property requirements and performance of ultra-low dielectric constant insulators for inlaid copper metallization</a></div><div class="wp-workCard_item"><span>International Electron Devices Meeting. Technical Digest (Cat. No.01CH37224)</span><span>, 2001</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Technological challenges for selection and integration of ultra-low dielectric constant insulator...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Technological challenges for selection and integration of ultra-low dielectric constant insulators are discussed. Correlations of material properties with their performance in 1 level-metal inlaid copper integration are established. Dielectric constants of candidate materials are estimated from line-to-line capacitance measurements and FEM. Implications regarding the changes in dielectric constant are discussed</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="34523546"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="34523546"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 34523546; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=34523546]").text(description); $(".js-view-count[data-work-id=34523546]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 34523546; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='34523546']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=34523546]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":34523546,"title":"Evaluation of material property requirements and performance of ultra-low dielectric constant insulators for inlaid copper metallization","internal_url":"https://www.academia.edu/34523546/Evaluation_of_material_property_requirements_and_performance_of_ultra_low_dielectric_constant_insulators_for_inlaid_copper_metallization","owner_id":66130666,"coauthors_can_edit":true,"owner":{"id":66130666,"first_name":"Jason","middle_initials":null,"last_name":"Lee","page_name":"JasonLee337","domain_name":"independent","created_at":"2017-07-04T18:00:05.715-07:00","display_name":"Jason Lee","url":"https://independent.academia.edu/JasonLee337"},"attachments":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="34523545"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/34523545/The_computing_brain_abacus_based_mental_calculation_correlation_between_abacus_experts_and_normal_subjects_in_PET_study"><img alt="Research paper thumbnail of The computing brain: abacus-based mental calculation correlation between abacus experts and normal subjects in PET study" class="work-thumbnail" src="https://attachments.academia-assets.com/54388738/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/34523545/The_computing_brain_abacus_based_mental_calculation_correlation_between_abacus_experts_and_normal_subjects_in_PET_study">The computing brain: abacus-based mental calculation correlation between abacus experts and normal subjects in PET study</a></div><div class="wp-workCard_item"><span>First International IEEE EMBS Conference on Neural Engineering, 2003. Conference Proceedings.</span><span>, 2003</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Abacus-based mental calculation has been a unique Chinese culture for a long time. The abacus exp...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Abacus-based mental calculation has been a unique Chinese culture for a long time. The abacus experts can perform complex computations mentally with exceptionally fast speed and high accuracy. However, these neural bases of computation rocessing are not yet clearly known. I n this study, rCBF with 0 -water P E T in experts and normal subjects were measured, and to investigate activation differences between the two groups in different level of computation abilities. Three paradigms were given during the testing, including covert reading, simple and complex contiguous addition problems. All the data were analyzed using SPM99 a n d MNI template. From the results, different ways of performing calculations between the two groups were seen. In the experts, tend to perform</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="c6e5fe449f04986cf8ead9e00e3dfbb2" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":54388738,"asset_id":34523545,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/54388738/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="34523545"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="34523545"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 34523545; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=34523545]").text(description); $(".js-view-count[data-work-id=34523545]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 34523545; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='34523545']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "c6e5fe449f04986cf8ead9e00e3dfbb2" } } $('.js-work-strip[data-work-id=34523545]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":34523545,"title":"The computing brain: abacus-based mental calculation correlation between abacus experts and normal subjects in PET study","internal_url":"https://www.academia.edu/34523545/The_computing_brain_abacus_based_mental_calculation_correlation_between_abacus_experts_and_normal_subjects_in_PET_study","owner_id":66130666,"coauthors_can_edit":true,"owner":{"id":66130666,"first_name":"Jason","middle_initials":null,"last_name":"Lee","page_name":"JasonLee337","domain_name":"independent","created_at":"2017-07-04T18:00:05.715-07:00","display_name":"Jason Lee","url":"https://independent.academia.edu/JasonLee337"},"attachments":[{"id":54388738,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/54388738/thumbnails/1.jpg","file_name":"cne.2003.119688920170909-27201-sna94n.pdf","download_url":"https://www.academia.edu/attachments/54388738/download_file","bulk_download_file_name":"The_computing_brain_abacus_based_mental.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/54388738/cne.2003.119688920170909-27201-sna94n-libre.pdf?1505000467=\u0026response-content-disposition=attachment%3B+filename%3DThe_computing_brain_abacus_based_mental.pdf\u0026Expires=1740603222\u0026Signature=ZOa6D3JI9VGaXKIs~NM7wkU9cbGPslGWeyw8CMd0fzblaw2SwQ4suHfDHRbTBJWK34CrZihBPSmCiy6BE~mtbJje2DCEipK6PaYHD8H4lSwNeW4YklUeVMh16RdWrznJLlwkJ8GdmjZbsckLhPrIml7Do2kwg5lpzbVAozq-8ncW9ienoKUivA3-c-p0Rt5xmgtQ6AN2nlGCXQzJBiWdfaW-NvhViucKccH5fN6Zfd1IhPRKFhA2PkesGc6ADzUFF2N79e2kqcp9UuZFDxGhsabUx7rCtikcDy7n0sZr2up9lKR9hJw86k0LPMnFcc-fXl8I4MctOBjcmrvlJHlrpw__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="34523544"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/34523544/Validation_of_GATE_Monte_Carlo_simulation_of_the_performance_characteristics_of_a_GE_eXplore_VISTA_small_animal_PET_system"><img alt="Research paper thumbnail of Validation of GATE Monte Carlo simulation of the performance characteristics of a GE eXplore VISTA small animal PET system" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/34523544/Validation_of_GATE_Monte_Carlo_simulation_of_the_performance_characteristics_of_a_GE_eXplore_VISTA_small_animal_PET_system">Validation of GATE Monte Carlo simulation of the performance characteristics of a GE eXplore VISTA small animal PET system</a></div><div class="wp-workCard_item"><span>2007 IEEE Nuclear Science Symposium Conference Record</span><span>, 2007</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">ABSTRACT</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="34523544"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="34523544"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 34523544; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=34523544]").text(description); $(".js-view-count[data-work-id=34523544]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 34523544; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='34523544']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=34523544]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":34523544,"title":"Validation of GATE Monte Carlo simulation of the performance characteristics of a GE eXplore VISTA small animal PET system","internal_url":"https://www.academia.edu/34523544/Validation_of_GATE_Monte_Carlo_simulation_of_the_performance_characteristics_of_a_GE_eXplore_VISTA_small_animal_PET_system","owner_id":66130666,"coauthors_can_edit":true,"owner":{"id":66130666,"first_name":"Jason","middle_initials":null,"last_name":"Lee","page_name":"JasonLee337","domain_name":"independent","created_at":"2017-07-04T18:00:05.715-07:00","display_name":"Jason Lee","url":"https://independent.academia.edu/JasonLee337"},"attachments":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="34523543"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/34523543/A_monitoring_sensor_management_system_for_grid_environments"><img alt="Research paper thumbnail of A monitoring sensor management system for grid environments" class="work-thumbnail" src="https://attachments.academia-assets.com/54388741/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/34523543/A_monitoring_sensor_management_system_for_grid_environments">A monitoring sensor management system for grid environments</a></div><div class="wp-workCard_item"><span>Proceedings the Ninth International Symposium on High-Performance Distributed Computing</span><span>, 2000</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Large distributed systems such as Computational Grids require a large amount of monitoring data b...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Large distributed systems such as Computational Grids require a large amount of monitoring data be collected for a variety of tasks such as fault detection, performance analysis, performance tuning, performance prediction, and scheduling. Ensuring that all necessary monitoring is turned on and that data is being collected can be a very tedious and error-prone task. We have developed an agent-based system to automate the execution of monitoring sensors and the collection of event data.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="9dd5ec4c3943bd3eaf2909ff60d5214b" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":54388741,"asset_id":34523543,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/54388741/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="34523543"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="34523543"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 34523543; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=34523543]").text(description); $(".js-view-count[data-work-id=34523543]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 34523543; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='34523543']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "9dd5ec4c3943bd3eaf2909ff60d5214b" } } $('.js-work-strip[data-work-id=34523543]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":34523543,"title":"A monitoring sensor management system for grid environments","internal_url":"https://www.academia.edu/34523543/A_monitoring_sensor_management_system_for_grid_environments","owner_id":66130666,"coauthors_can_edit":true,"owner":{"id":66130666,"first_name":"Jason","middle_initials":null,"last_name":"Lee","page_name":"JasonLee337","domain_name":"independent","created_at":"2017-07-04T18:00:05.715-07:00","display_name":"Jason Lee","url":"https://independent.academia.edu/JasonLee337"},"attachments":[{"id":54388741,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/54388741/thumbnails/1.jpg","file_name":"A_Monitoring_Sensor_Management_System_fo20170909-27209-1tft889.pdf","download_url":"https://www.academia.edu/attachments/54388741/download_file","bulk_download_file_name":"A_monitoring_sensor_management_system_fo.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/54388741/A_Monitoring_Sensor_Management_System_fo20170909-27209-1tft889-libre.pdf?1505000465=\u0026response-content-disposition=attachment%3B+filename%3DA_monitoring_sensor_management_system_fo.pdf\u0026Expires=1740603222\u0026Signature=ScbudeQjIGeB4RHSEpeYCnSqCwODB52o5h6adHDgQbHnyE8u3v5H8RkiOzsWOCSB1aeUoDFoZAQntzw7l9SgI92Kz1KCAq1BnN1LXOeBRS7lvK03i93lSQT0xNN3ZnSUzRUIptcKTyp-LWlk33S1lu5yagrevI2tWejMr7DmNjKuVSoSaH5M9jpCF5H5csyV1~cseQjNU8ib4OzsDNlR0y8P4-3puJQaGVzvUO-iu~FMcrUzGg3KI0Ca707N9dQSwanJsWN2~WZsz0hwQHW85AoCasVrg4YhDBHfy1RjZMItiOQ6avHpcpoubZiuTqq6qH~Wf-906ARVyaUUeQKW7w__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="34523542"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/34523542/Filtering_effects_on_polarimetric_SAR_image_classification"><img alt="Research paper thumbnail of Filtering effects on polarimetric SAR image classification" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/34523542/Filtering_effects_on_polarimetric_SAR_image_classification">Filtering effects on polarimetric SAR image classification</a></div><div class="wp-workCard_item"><span>Geoscience and Remote Sensing IEEE International Symposium</span><span>, 1997</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Feature extraction from SAR images is usually impeded by the presence of speckle noise. This beco...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Feature extraction from SAR images is usually impeded by the presence of speckle noise. This becomes more serious in the case of polarimetric SAR system. A polarimetric filter recently proposed by Lee et al. [1997] emphasizes not introducing additional cross-talk and statistical correlation between channels, preserving polarimetric information and not degrading the image quality. This paper exams its effects on</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="34523542"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="34523542"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 34523542; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=34523542]").text(description); $(".js-view-count[data-work-id=34523542]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 34523542; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='34523542']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=34523542]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":34523542,"title":"Filtering effects on polarimetric SAR image classification","internal_url":"https://www.academia.edu/34523542/Filtering_effects_on_polarimetric_SAR_image_classification","owner_id":66130666,"coauthors_can_edit":true,"owner":{"id":66130666,"first_name":"Jason","middle_initials":null,"last_name":"Lee","page_name":"JasonLee337","domain_name":"independent","created_at":"2017-07-04T18:00:05.715-07:00","display_name":"Jason Lee","url":"https://independent.academia.edu/JasonLee337"},"attachments":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="34523541"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/34523541/Radiation_dose_to_patients_and_image_quality_evaluation_from_coronary_256_slice_computed_tomographic_angiography"><img alt="Research paper thumbnail of Radiation dose to patients and image quality evaluation from coronary 256-slice computed tomographic angiography" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/34523541/Radiation_dose_to_patients_and_image_quality_evaluation_from_coronary_256_slice_computed_tomographic_angiography">Radiation dose to patients and image quality evaluation from coronary 256-slice computed tomographic angiography</a></div><div class="wp-workCard_item"><span>Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment</span><span>, 2010</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The aim of this study is to assess radiation dose and the corresponding image quality from sugges...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">The aim of this study is to assess radiation dose and the corresponding image quality from suggested CT protocols which depends on different mean heart rate and high heart rate variability by using 256-slice CT. Fifty consecutive patients referred for a cardiac CT examination were included in this study. All coronary computed tomographic angiography (CCTA) examinations were performed on a 256-slice CT scanner with one of five different protocols: retrospective ECG-gating (RGH) with full dose exposure in all R–R intervals (protocol A), RGH of 30–80% pulsing window with tube current modulation (B), RGH of 78±5% pulsing window with tube current modulation (C), prospective ECG-triggering (PGT) of 78% R–R interval with 5% padding window (D) and PGT of 78% R–R interval without padding window (E). Radiation dose parameters and image quality scoring were determined and compared. In this study, no significant differences were found in comparison on image quality of the five different protocols. Protocol A obtained the highest radiation dose comparing with those of protocols B, C, D and E by a factor of 1.6, 2.4, 2.5 and 4.3, respectively (p&lt;0.001), which were ranged between 2.7 and 11.8mSv. The PGT could significantly reduce radiation dose delivered to patients, as compared to the RGH. However, the use of PGT has limitations and is only good in assessing cases with lower mean heart rate and stable heart rate variability. With higher mean heart rate and high heart rate variability circumstances, the RGH within 30–80% of R–R interval pulsing window is suggested as a feasible technique for assessing diagnostic performance.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="34523541"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="34523541"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 34523541; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=34523541]").text(description); $(".js-view-count[data-work-id=34523541]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 34523541; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='34523541']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=34523541]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":34523541,"title":"Radiation dose to patients and image quality evaluation from coronary 256-slice computed tomographic angiography","internal_url":"https://www.academia.edu/34523541/Radiation_dose_to_patients_and_image_quality_evaluation_from_coronary_256_slice_computed_tomographic_angiography","owner_id":66130666,"coauthors_can_edit":true,"owner":{"id":66130666,"first_name":"Jason","middle_initials":null,"last_name":"Lee","page_name":"JasonLee337","domain_name":"independent","created_at":"2017-07-04T18:00:05.715-07:00","display_name":"Jason Lee","url":"https://independent.academia.edu/JasonLee337"},"attachments":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="34523540"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/34523540/Evaluation_of_radiation_dose_of_triple_rule_out_coronary_angiography_protocols_with_different_scan_length_using_256_slice_CT"><img alt="Research paper thumbnail of Evaluation of radiation dose of triple rule-out coronary angiography protocols with different scan length using 256-slice CT" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/34523540/Evaluation_of_radiation_dose_of_triple_rule_out_coronary_angiography_protocols_with_different_scan_length_using_256_slice_CT">Evaluation of radiation dose of triple rule-out coronary angiography protocols with different scan length using 256-slice CT</a></div><div class="wp-workCard_item"><span>Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment</span><span>, 2011</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Triple rule-out coronary CT angiography (TRO-CTA) is a new approach for providing noninvasive vis...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Triple rule-out coronary CT angiography (TRO-CTA) is a new approach for providing noninvasive visualization of coronary arteries with simultaneous evaluation of pulmonary arteries, thoracic aorta and other intrathoracic structures. The increasing use of TRO-CTA examination with longer scan length is associated with the concerns about radiation dose and their corresponding cancer risk. The purpose of this study is to evaluate</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="34523540"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="34523540"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 34523540; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=34523540]").text(description); $(".js-view-count[data-work-id=34523540]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 34523540; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='34523540']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=34523540]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":34523540,"title":"Evaluation of radiation dose of triple rule-out coronary angiography protocols with different scan length using 256-slice CT","internal_url":"https://www.academia.edu/34523540/Evaluation_of_radiation_dose_of_triple_rule_out_coronary_angiography_protocols_with_different_scan_length_using_256_slice_CT","owner_id":66130666,"coauthors_can_edit":true,"owner":{"id":66130666,"first_name":"Jason","middle_initials":null,"last_name":"Lee","page_name":"JasonLee337","domain_name":"independent","created_at":"2017-07-04T18:00:05.715-07:00","display_name":"Jason Lee","url":"https://independent.academia.edu/JasonLee337"},"attachments":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="34523539"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/34523539/CDF_Run_IIb_Silicon_The_innermost_layer"><img alt="Research paper thumbnail of CDF Run IIb Silicon: The innermost layer" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/34523539/CDF_Run_IIb_Silicon_The_innermost_layer">CDF Run IIb Silicon: The innermost layer</a></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="34523539"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="34523539"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 34523539; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=34523539]").text(description); $(".js-view-count[data-work-id=34523539]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 34523539; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='34523539']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=34523539]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":34523539,"title":"CDF Run IIb Silicon: The innermost layer","internal_url":"https://www.academia.edu/34523539/CDF_Run_IIb_Silicon_The_innermost_layer","owner_id":66130666,"coauthors_can_edit":true,"owner":{"id":66130666,"first_name":"Jason","middle_initials":null,"last_name":"Lee","page_name":"JasonLee337","domain_name":"independent","created_at":"2017-07-04T18:00:05.715-07:00","display_name":"Jason Lee","url":"https://independent.academia.edu/JasonLee337"},"attachments":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="34523538"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/34523538/Comparison_of_DC_RF_and_Dispersion_Properties_of_SOI_and_Strained_SOI_N_MOSFETs"><img alt="Research paper thumbnail of Comparison of DC, RF, and Dispersion Properties of SOI and Strained-SOI N-MOSFETs" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/34523538/Comparison_of_DC_RF_and_Dispersion_Properties_of_SOI_and_Strained_SOI_N_MOSFETs">Comparison of DC, RF, and Dispersion Properties of SOI and Strained-SOI N-MOSFETs</a></div><div class="wp-workCard_item"><span>Proceedings of the IEEE International Symposium on Industrial Electronics, 2005. ISIE 2005.</span><span>, 2005</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The operating performance of SOI and strained-SOI N-MOSFETs are compared. In particular, these pr...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">The operating performance of SOI and strained-SOI N-MOSFETs are compared. In particular, these properties are examined in detail: 1) electron mobility and DC characteristics, 2) high frequency behavior, 3) dispersion and self-heating effects, and 4) buried oxide interface trap density. Our results demonstrate that SSOI technology can improve ft and fmax conservatively by up to 50% without excessive dispersion/self-heating. Furthermore,</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="34523538"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="34523538"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 34523538; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=34523538]").text(description); $(".js-view-count[data-work-id=34523538]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 34523538; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='34523538']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=34523538]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":34523538,"title":"Comparison of DC, RF, and Dispersion Properties of SOI and Strained-SOI N-MOSFETs","internal_url":"https://www.academia.edu/34523538/Comparison_of_DC_RF_and_Dispersion_Properties_of_SOI_and_Strained_SOI_N_MOSFETs","owner_id":66130666,"coauthors_can_edit":true,"owner":{"id":66130666,"first_name":"Jason","middle_initials":null,"last_name":"Lee","page_name":"JasonLee337","domain_name":"independent","created_at":"2017-07-04T18:00:05.715-07:00","display_name":"Jason Lee","url":"https://independent.academia.edu/JasonLee337"},"attachments":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="34523537"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/34523537/The_effects_of_the_spl_infin_Fe_precipitation_on_the_coercive_force_of_the_rapidly_quenched_Pr_Fe_B_Zr_alloys"><img alt="Research paper thumbnail of The effects of the /spl infin/-Fe precipitation on the coercive force of the rapidly quenched Pr-Fe-B-Zr alloys" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/34523537/The_effects_of_the_spl_infin_Fe_precipitation_on_the_coercive_force_of_the_rapidly_quenched_Pr_Fe_B_Zr_alloys">The effects of the /spl infin/-Fe precipitation on the coercive force of the rapidly quenched Pr-Fe-B-Zr alloys</a></div><div class="wp-workCard_item"><span>International Conference on Magnetics</span><span>, 1990</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="34523537"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="34523537"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 34523537; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=34523537]").text(description); $(".js-view-count[data-work-id=34523537]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 34523537; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='34523537']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=34523537]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":34523537,"title":"The effects of the /spl infin/-Fe precipitation on the coercive force of the rapidly quenched Pr-Fe-B-Zr alloys","internal_url":"https://www.academia.edu/34523537/The_effects_of_the_spl_infin_Fe_precipitation_on_the_coercive_force_of_the_rapidly_quenched_Pr_Fe_B_Zr_alloys","owner_id":66130666,"coauthors_can_edit":true,"owner":{"id":66130666,"first_name":"Jason","middle_initials":null,"last_name":"Lee","page_name":"JasonLee337","domain_name":"independent","created_at":"2017-07-04T18:00:05.715-07:00","display_name":"Jason Lee","url":"https://independent.academia.edu/JasonLee337"},"attachments":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> </div><div class="profile--tab_content_container js-tab-pane tab-pane" data-section-id="7197593" id="papers"><div class="js-work-strip profile--work_container" data-work-id="34523557"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/34523557/Mobility_enhancement_of_SSOI_devices_fabricated_with_sacrificial_thin_relaxed_SiGe"><img alt="Research paper thumbnail of Mobility enhancement of SSOI devices fabricated with sacrificial thin relaxed SiGe" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/34523557/Mobility_enhancement_of_SSOI_devices_fabricated_with_sacrificial_thin_relaxed_SiGe">Mobility enhancement of SSOI devices fabricated with sacrificial thin relaxed SiGe</a></div><div class="wp-workCard_item"><span>2004 Ieee International Soi Conference</span><span>, Nov 4, 2004</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">NMOS and PMOS devices have been successfully fabricated on SSOI wafers with a 20 nm strained Si l...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">NMOS and PMOS devices have been successfully fabricated on SSOI wafers with a 20 nm strained Si layer. The electron and hole mobility enhancements are 115% and 45%, respectively. The SSOI wafer was fabricated by direct wafer bonding with the strained Si on thin SiGe (300 nm) virtual substrate transferred to the oxidized handle wafer by splitting. Strained SiGe depositing</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="34523557"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="34523557"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 34523557; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=34523557]").text(description); $(".js-view-count[data-work-id=34523557]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 34523557; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='34523557']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=34523557]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":34523557,"title":"Mobility enhancement of SSOI devices fabricated with sacrificial thin relaxed SiGe","internal_url":"https://www.academia.edu/34523557/Mobility_enhancement_of_SSOI_devices_fabricated_with_sacrificial_thin_relaxed_SiGe","owner_id":66130666,"coauthors_can_edit":true,"owner":{"id":66130666,"first_name":"Jason","middle_initials":null,"last_name":"Lee","page_name":"JasonLee337","domain_name":"independent","created_at":"2017-07-04T18:00:05.715-07:00","display_name":"Jason Lee","url":"https://independent.academia.edu/JasonLee337"},"attachments":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="34523556"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/34523556/An_Evaluation_of_Ballast_Tank_Corrosion_in_Hypoxic_Seawater"><img alt="Research paper thumbnail of An Evaluation of Ballast Tank Corrosion in Hypoxic Seawater" class="work-thumbnail" src="https://attachments.academia-assets.com/54388739/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/34523556/An_Evaluation_of_Ballast_Tank_Corrosion_in_Hypoxic_Seawater">An Evaluation of Ballast Tank Corrosion in Hypoxic Seawater</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The public reporting burden for this collection of information is estimated to average 1 hour per...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">The public reporting burden for this collection of information is estimated to average 1 hour per response, including the time for reviewing instructions, searching existing data sources, gathering and maintaining the data needed, and completing and reviewing the collection of information, Send comments regarding this burden estimate or any other aspect of this collection of information, including suggestions for reducing the burden, to the Department of Defense, Executive Services and Communications Directorate (0704-0188). Respondents should be aware that notwithstanding any other provision of law, no person shall be subject to any penalty for failing to comply with a collection of information if it does not display a currently valid OMB control number.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="d09a0e53e279437a084d4a3c29d3dc66" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":54388739,"asset_id":34523556,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/54388739/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="34523556"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="34523556"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 34523556; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=34523556]").text(description); $(".js-view-count[data-work-id=34523556]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 34523556; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='34523556']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "d09a0e53e279437a084d4a3c29d3dc66" } } $('.js-work-strip[data-work-id=34523556]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":34523556,"title":"An Evaluation of Ballast Tank Corrosion in Hypoxic Seawater","internal_url":"https://www.academia.edu/34523556/An_Evaluation_of_Ballast_Tank_Corrosion_in_Hypoxic_Seawater","owner_id":66130666,"coauthors_can_edit":true,"owner":{"id":66130666,"first_name":"Jason","middle_initials":null,"last_name":"Lee","page_name":"JasonLee337","domain_name":"independent","created_at":"2017-07-04T18:00:05.715-07:00","display_name":"Jason Lee","url":"https://independent.academia.edu/JasonLee337"},"attachments":[{"id":54388739,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/54388739/thumbnails/1.jpg","file_name":"ADA448914.pdf","download_url":"https://www.academia.edu/attachments/54388739/download_file","bulk_download_file_name":"An_Evaluation_of_Ballast_Tank_Corrosion.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/54388739/ADA448914-libre.pdf?1505000467=\u0026response-content-disposition=attachment%3B+filename%3DAn_Evaluation_of_Ballast_Tank_Corrosion.pdf\u0026Expires=1740603222\u0026Signature=e5FcMo02trn~fPZ2GveDPBi-Cuij-~j8GcJKJ2VeJxlsMVYAI5cOEAMkrBAr5ESklyH2itwKCvR1COF6XSmiaCXNRy3OSXx3Ld1qhb9MyyIjkal8Dg1RC8TEXpPcxpbj0LxhmhE3DcgZ5QWdvXuEjyrTJz4lp0hWQRHLCmOtY9YsuVm49TcOKSJ-Y0eCD-imA4rnfN~On-l4s89xjAQvNaH~s8dui5atdxijlC~ubNtrJSe0kxchahnpbHeYoYZlFfG3z7l0wJOuD1gLTkYI~exPlzCUYS2ipVsP-3mHbXIT8MN5SKJ4gqPX7jOY4beQvY35rftxs~~IPww3X3w6WQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="34523555"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/34523555/An_integrated_multimodality_image_guided_robot_system_for_small_animal_imaging_research"><img alt="Research paper thumbnail of An integrated multimodality image-guided robot system for small-animal imaging research" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/34523555/An_integrated_multimodality_image_guided_robot_system_for_small_animal_imaging_research">An integrated multimodality image-guided robot system for small-animal imaging research</a></div><div class="wp-workCard_item"><span>Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment</span><span>, 2011</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">We design and construct an image-guided robot system for use in small-animal imaging research. Th...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">We design and construct an image-guided robot system for use in small-animal imaging research. This device allows the use of co-registered small-animal PET–MRI images to guide the movements of robotic controllers, which will accurately place a needle probe at any predetermined location inside, for example, a mouse tumor, for biological readouts without sacrificing the animal. This system is composed of three major components: an automated robot device, a CCD monitoring mechanism, and a multimodality registration implementation. Specifically, the CCD monitoring mechanism was used for correction and validation of the robot device. To demonstrate the value of the proposed system, we performed a tumor hypoxia study that involved FMISO small-animal PET imaging and the delivering of a pO2 probe into the mouse tumor using the image-guided robot system. During our evaluation, the needle positioning error was found to be within 0.153±0.042mm of desired placement; the phantom simulation errors were within 0.693±0.128mm. In small-animal studies, the pO2 probe measurements in the corresponding hypoxia areas showed good correlation with significant, low tissue oxygen tensions (less than 6mmHg). We have confirmed the feasibility of the system and successfully applied it to small-animal investigations. The system could be easily adapted to extend to other biomedical investigations in the future.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="34523555"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="34523555"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 34523555; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=34523555]").text(description); $(".js-view-count[data-work-id=34523555]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 34523555; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='34523555']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=34523555]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":34523555,"title":"An integrated multimodality image-guided robot system for small-animal imaging research","internal_url":"https://www.academia.edu/34523555/An_integrated_multimodality_image_guided_robot_system_for_small_animal_imaging_research","owner_id":66130666,"coauthors_can_edit":true,"owner":{"id":66130666,"first_name":"Jason","middle_initials":null,"last_name":"Lee","page_name":"JasonLee337","domain_name":"independent","created_at":"2017-07-04T18:00:05.715-07:00","display_name":"Jason Lee","url":"https://independent.academia.edu/JasonLee337"},"attachments":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="34523554"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/34523554/Qualitative_and_semi_quantitative_evaluation_of_myocardium_perfusion_with_3_T_stress_cardiac_MRI"><img alt="Research paper thumbnail of Qualitative and semi-quantitative evaluation of myocardium perfusion with 3 T stress cardiac MRI" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/34523554/Qualitative_and_semi_quantitative_evaluation_of_myocardium_perfusion_with_3_T_stress_cardiac_MRI">Qualitative and semi-quantitative evaluation of myocardium perfusion with 3 T stress cardiac MRI</a></div><div class="wp-workCard_item"><span>BMC cardiovascular disorders</span><span>, Jan 7, 2015</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">3 T MRI has been adopted by some centers as the primary choice for assessment of myocardial perfu...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">3 T MRI has been adopted by some centers as the primary choice for assessment of myocardial perfusion over conventional 1.5 T MRI. However, there is no data published on the potential additional value of incorporating semi-quantitative data from 3 T MRI. This study sought to determine the performance of qualitative 3 T stress magnetic resonance myocardial perfusion imaging (3 T-MRMPI) and the potential incremental benefit of using a semi-quantitative perfusion technique in patients with suspected coronary artery disease (CAD). Fifty eight patients (41 men; mean age: 59 years) referred for elective diagnostic angiography underwent stress 3 T MRMPI with a 32-channel cardiac receiver coil. The MR protocol included gadolinium-enhanced stress first-pass perfusion (0.56 mg/kg, dipyridamole), rest perfusion, and delayed enhancement (DE). Visual analysis was performed in two steps. Ischemia was defined as a territory with perfusion defect at stress study but no DE or a territory with DE but...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="34523554"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="34523554"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 34523554; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=34523554]").text(description); $(".js-view-count[data-work-id=34523554]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 34523554; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='34523554']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=34523554]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":34523554,"title":"Qualitative and semi-quantitative evaluation of myocardium perfusion with 3 T stress cardiac MRI","internal_url":"https://www.academia.edu/34523554/Qualitative_and_semi_quantitative_evaluation_of_myocardium_perfusion_with_3_T_stress_cardiac_MRI","owner_id":66130666,"coauthors_can_edit":true,"owner":{"id":66130666,"first_name":"Jason","middle_initials":null,"last_name":"Lee","page_name":"JasonLee337","domain_name":"independent","created_at":"2017-07-04T18:00:05.715-07:00","display_name":"Jason Lee","url":"https://independent.academia.edu/JasonLee337"},"attachments":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="34523553"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/34523553/Novel_colossal_magnetoresistive_thin_film_nonvolatile_resistance_random_access_memory_RRAM_"><img alt="Research paper thumbnail of Novel colossal magnetoresistive thin film nonvolatile resistance random access memory (RRAM)" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/34523553/Novel_colossal_magnetoresistive_thin_film_nonvolatile_resistance_random_access_memory_RRAM_">Novel colossal magnetoresistive thin film nonvolatile resistance random access memory (RRAM)</a></div><div class="wp-workCard_item"><span>Digest. International Electron Devices Meeting,</span><span>, 2002</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Abstract A novel nonvolatile memory Colossal Magnetoresistive (CMR) thin film resistor for Resist...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Abstract A novel nonvolatile memory Colossal Magnetoresistive (CMR) thin film resistor for Resistance RAM (RRAM) application has been characterized. A 1RIT RRAM test circuit based on 0.5 μm CMOS has been fabricated. RRAM is a low power high-speed memory ...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="34523553"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="34523553"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 34523553; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=34523553]").text(description); $(".js-view-count[data-work-id=34523553]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 34523553; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='34523553']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=34523553]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":34523553,"title":"Novel colossal magnetoresistive thin film nonvolatile resistance random access memory (RRAM)","internal_url":"https://www.academia.edu/34523553/Novel_colossal_magnetoresistive_thin_film_nonvolatile_resistance_random_access_memory_RRAM_","owner_id":66130666,"coauthors_can_edit":true,"owner":{"id":66130666,"first_name":"Jason","middle_initials":null,"last_name":"Lee","page_name":"JasonLee337","domain_name":"independent","created_at":"2017-07-04T18:00:05.715-07:00","display_name":"Jason Lee","url":"https://independent.academia.edu/JasonLee337"},"attachments":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="34523551"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/34523551/Quantification_of_peri_aortic_root_fat_from_non_contrast_ECG_gated_cardiac_computed_tomography"><img alt="Research paper thumbnail of Quantification of peri-aortic root fat from non-contrast ECG-gated cardiac computed tomography" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/34523551/Quantification_of_peri_aortic_root_fat_from_non_contrast_ECG_gated_cardiac_computed_tomography">Quantification of peri-aortic root fat from non-contrast ECG-gated cardiac computed tomography</a></div><div class="wp-workCard_item"><span>Data in Brief</span><span>, 2015</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">In this data, we present the details of the cross-sectional study from Mackay Memorial Hospital, ...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">In this data, we present the details of the cross-sectional study from Mackay Memorial Hospital, Taipei, Taiwan that examined the relationship between three-dimensional (3D) peri-aortic root fat (PARF) volumes, cardiometabolic risk profiles, carotid artery morphology and remodeling. Our sample is composed of a total 1492 adults who underwent an annual cardiovascular risk survey in Taiwan. PARF was measured using images of gated non-contrast cardiac computed tomography (CT) and a dedicated workstation (Aquarius 3D Workstation, TeraRecon, San Mateo, CA, USA). The stratified analyses were performed in order to assess the association between carotid morphology, remodeling and PARF by tertile. For further analyses and discussion, please see &amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;quot;The Association among Peri-Aortic Root Adipose Tissue, Metabolic derangements and Burden of Atherosclerosis in Asymptomatic Population&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;quot; by Yun et al. (2015) [1].</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="34523551"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="34523551"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 34523551; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=34523551]").text(description); $(".js-view-count[data-work-id=34523551]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 34523551; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='34523551']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=34523551]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":34523551,"title":"Quantification of peri-aortic root fat from non-contrast ECG-gated cardiac computed tomography","internal_url":"https://www.academia.edu/34523551/Quantification_of_peri_aortic_root_fat_from_non_contrast_ECG_gated_cardiac_computed_tomography","owner_id":66130666,"coauthors_can_edit":true,"owner":{"id":66130666,"first_name":"Jason","middle_initials":null,"last_name":"Lee","page_name":"JasonLee337","domain_name":"independent","created_at":"2017-07-04T18:00:05.715-07:00","display_name":"Jason Lee","url":"https://independent.academia.edu/JasonLee337"},"attachments":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="34523550"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/34523550/A_positron_emission_tomography_computed_tomography_PET_CT_acquisition_protocol_for_CT_radiation_dose_optimization"><img alt="Research paper thumbnail of A positron emission tomography/computed tomography (PET/CT) acquisition protocol for CT radiation dose optimization" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/34523550/A_positron_emission_tomography_computed_tomography_PET_CT_acquisition_protocol_for_CT_radiation_dose_optimization">A positron emission tomography/computed tomography (PET/CT) acquisition protocol for CT radiation dose optimization</a></div><div class="wp-workCard_item"><span>Nuclear Medicine Communications</span><span>, 2005</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="34523550"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="34523550"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 34523550; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=34523550]").text(description); $(".js-view-count[data-work-id=34523550]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 34523550; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='34523550']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=34523550]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":34523550,"title":"A positron emission tomography/computed tomography (PET/CT) acquisition protocol for CT radiation dose optimization","internal_url":"https://www.academia.edu/34523550/A_positron_emission_tomography_computed_tomography_PET_CT_acquisition_protocol_for_CT_radiation_dose_optimization","owner_id":66130666,"coauthors_can_edit":true,"owner":{"id":66130666,"first_name":"Jason","middle_initials":null,"last_name":"Lee","page_name":"JasonLee337","domain_name":"independent","created_at":"2017-07-04T18:00:05.715-07:00","display_name":"Jason Lee","url":"https://independent.academia.edu/JasonLee337"},"attachments":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="34523549"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/34523549/The_association_among_peri_aortic_root_adipose_tissue_metabolic_derangements_and_burden_of_atherosclerosis_in_asymptomatic_population"><img alt="Research paper thumbnail of The association among peri-aortic root adipose tissue, metabolic derangements and burden of atherosclerosis in asymptomatic population" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/34523549/The_association_among_peri_aortic_root_adipose_tissue_metabolic_derangements_and_burden_of_atherosclerosis_in_asymptomatic_population">The association among peri-aortic root adipose tissue, metabolic derangements and burden of atherosclerosis in asymptomatic population</a></div><div class="wp-workCard_item"><span>Journal of cardiovascular computed tomography</span><span>, Jan 22, 2015</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">To describe the relationship between a novel measurement of peri-arotic root fat and ultrasound m...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">To describe the relationship between a novel measurement of peri-arotic root fat and ultrasound measures of carotid artery remodeling. We studied 1492 consecutive subjects (mean age: 51.04 ± 8.97 years, 27% females) who underwent an annual cardiovascular risk survey in Taiwan. Peri-aortic root fat (PARF) was assessed by cardiac CT using three-dimensional (3D) volume assessment. Carotid artery morphology and remodeling were assessed by ultrasound. We explored the relationships between PARF volumes, cardiometabolic risk profiles and carotid morphology and remodeling. Mean PARF volume in current study was 20.8 ± 10.6 ml. PARF was positively correlated with measures of general adiposity, systemic inflammation, and several traditional cardiometabolic risk profiles (all p &lt; 0.001) and successfully predicted metabolic syndrome (MetS) (AUROC: 0.75, 95%, confidence interval: 0.72-0.77). Higher PARF was independently associated with increased carotid artery intima-media thickness (IMT) (β-...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="34523549"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="34523549"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 34523549; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=34523549]").text(description); $(".js-view-count[data-work-id=34523549]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 34523549; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='34523549']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=34523549]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":34523549,"title":"The association among peri-aortic root adipose tissue, metabolic derangements and burden of atherosclerosis in asymptomatic population","internal_url":"https://www.academia.edu/34523549/The_association_among_peri_aortic_root_adipose_tissue_metabolic_derangements_and_burden_of_atherosclerosis_in_asymptomatic_population","owner_id":66130666,"coauthors_can_edit":true,"owner":{"id":66130666,"first_name":"Jason","middle_initials":null,"last_name":"Lee","page_name":"JasonLee337","domain_name":"independent","created_at":"2017-07-04T18:00:05.715-07:00","display_name":"Jason Lee","url":"https://independent.academia.edu/JasonLee337"},"attachments":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="34523548"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/34523548/Integrating_Service_Level_Agreements_Optimising_Your_OSS_for_SLA_Delivery"><img alt="Research paper thumbnail of Integrating Service Level Agreements: Optimising Your OSS for SLA Delivery" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/34523548/Integrating_Service_Level_Agreements_Optimising_Your_OSS_for_SLA_Delivery">Integrating Service Level Agreements: Optimising Your OSS for SLA Delivery</a></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="34523548"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="34523548"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 34523548; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=34523548]").text(description); $(".js-view-count[data-work-id=34523548]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 34523548; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='34523548']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=34523548]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":34523548,"title":"Integrating Service Level Agreements: Optimising Your OSS for SLA Delivery","internal_url":"https://www.academia.edu/34523548/Integrating_Service_Level_Agreements_Optimising_Your_OSS_for_SLA_Delivery","owner_id":66130666,"coauthors_can_edit":true,"owner":{"id":66130666,"first_name":"Jason","middle_initials":null,"last_name":"Lee","page_name":"JasonLee337","domain_name":"independent","created_at":"2017-07-04T18:00:05.715-07:00","display_name":"Jason Lee","url":"https://independent.academia.edu/JasonLee337"},"attachments":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="34523547"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/34523547/Characterization_of_the_Univariate_and_Multivariate_Techniques_on_the_Analysis_of_Simulated_and_fMRI_Datasets_with_Visual_Task"><img alt="Research paper thumbnail of Characterization of the Univariate and Multivariate Techniques on the Analysis of Simulated and fMRI Datasets with Visual Task" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/34523547/Characterization_of_the_Univariate_and_Multivariate_Techniques_on_the_Analysis_of_Simulated_and_fMRI_Datasets_with_Visual_Task">Characterization of the Univariate and Multivariate Techniques on the Analysis of Simulated and fMRI Datasets with Visual Task</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Current analytical techniques applied to functional MRI (fMRI) data may be generally divided into...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Current analytical techniques applied to functional MRI (fMRI) data may be generally divided into two parts: univariate and multivariate techniques. It is therefore our attempt to evaluate and intercompare their respective algorithms on simulated and fMRI visual task data sets. In this study, the two representative univariate approaches, including the correlation and the specified-resolution wavelet analytical methods, and three multivariate based independent component analysis (ICA) approaches; including the Infomax ICA, the Fast ICA, and the JADE ICA are used for the purposes. Two simulated spatial sources with different time courses and noise levels and one fMRI dataset with visual task were employed for intercomparisons. Strategies for quantifying the performance of these techniques, the correlation analysis and receiver operating characteristics (ROC) are used to evaluate their respective accuracies on estimated time-courses and spatial layouts from the simulated and the fMRI v...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="34523547"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="34523547"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 34523547; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=34523547]").text(description); $(".js-view-count[data-work-id=34523547]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 34523547; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='34523547']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=34523547]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":34523547,"title":"Characterization of the Univariate and Multivariate Techniques on the Analysis of Simulated and fMRI Datasets with Visual Task","internal_url":"https://www.academia.edu/34523547/Characterization_of_the_Univariate_and_Multivariate_Techniques_on_the_Analysis_of_Simulated_and_fMRI_Datasets_with_Visual_Task","owner_id":66130666,"coauthors_can_edit":true,"owner":{"id":66130666,"first_name":"Jason","middle_initials":null,"last_name":"Lee","page_name":"JasonLee337","domain_name":"independent","created_at":"2017-07-04T18:00:05.715-07:00","display_name":"Jason Lee","url":"https://independent.academia.edu/JasonLee337"},"attachments":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="34523546"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/34523546/Evaluation_of_material_property_requirements_and_performance_of_ultra_low_dielectric_constant_insulators_for_inlaid_copper_metallization"><img alt="Research paper thumbnail of Evaluation of material property requirements and performance of ultra-low dielectric constant insulators for inlaid copper metallization" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/34523546/Evaluation_of_material_property_requirements_and_performance_of_ultra_low_dielectric_constant_insulators_for_inlaid_copper_metallization">Evaluation of material property requirements and performance of ultra-low dielectric constant insulators for inlaid copper metallization</a></div><div class="wp-workCard_item"><span>International Electron Devices Meeting. Technical Digest (Cat. No.01CH37224)</span><span>, 2001</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Technological challenges for selection and integration of ultra-low dielectric constant insulator...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Technological challenges for selection and integration of ultra-low dielectric constant insulators are discussed. Correlations of material properties with their performance in 1 level-metal inlaid copper integration are established. Dielectric constants of candidate materials are estimated from line-to-line capacitance measurements and FEM. Implications regarding the changes in dielectric constant are discussed</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="34523546"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="34523546"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 34523546; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=34523546]").text(description); $(".js-view-count[data-work-id=34523546]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 34523546; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='34523546']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=34523546]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":34523546,"title":"Evaluation of material property requirements and performance of ultra-low dielectric constant insulators for inlaid copper metallization","internal_url":"https://www.academia.edu/34523546/Evaluation_of_material_property_requirements_and_performance_of_ultra_low_dielectric_constant_insulators_for_inlaid_copper_metallization","owner_id":66130666,"coauthors_can_edit":true,"owner":{"id":66130666,"first_name":"Jason","middle_initials":null,"last_name":"Lee","page_name":"JasonLee337","domain_name":"independent","created_at":"2017-07-04T18:00:05.715-07:00","display_name":"Jason Lee","url":"https://independent.academia.edu/JasonLee337"},"attachments":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="34523545"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/34523545/The_computing_brain_abacus_based_mental_calculation_correlation_between_abacus_experts_and_normal_subjects_in_PET_study"><img alt="Research paper thumbnail of The computing brain: abacus-based mental calculation correlation between abacus experts and normal subjects in PET study" class="work-thumbnail" src="https://attachments.academia-assets.com/54388738/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/34523545/The_computing_brain_abacus_based_mental_calculation_correlation_between_abacus_experts_and_normal_subjects_in_PET_study">The computing brain: abacus-based mental calculation correlation between abacus experts and normal subjects in PET study</a></div><div class="wp-workCard_item"><span>First International IEEE EMBS Conference on Neural Engineering, 2003. Conference Proceedings.</span><span>, 2003</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Abacus-based mental calculation has been a unique Chinese culture for a long time. The abacus exp...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Abacus-based mental calculation has been a unique Chinese culture for a long time. The abacus experts can perform complex computations mentally with exceptionally fast speed and high accuracy. However, these neural bases of computation rocessing are not yet clearly known. I n this study, rCBF with 0 -water P E T in experts and normal subjects were measured, and to investigate activation differences between the two groups in different level of computation abilities. Three paradigms were given during the testing, including covert reading, simple and complex contiguous addition problems. All the data were analyzed using SPM99 a n d MNI template. From the results, different ways of performing calculations between the two groups were seen. In the experts, tend to perform</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="c6e5fe449f04986cf8ead9e00e3dfbb2" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":54388738,"asset_id":34523545,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/54388738/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="34523545"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="34523545"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 34523545; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=34523545]").text(description); $(".js-view-count[data-work-id=34523545]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 34523545; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='34523545']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "c6e5fe449f04986cf8ead9e00e3dfbb2" } } $('.js-work-strip[data-work-id=34523545]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":34523545,"title":"The computing brain: abacus-based mental calculation correlation between abacus experts and normal subjects in PET study","internal_url":"https://www.academia.edu/34523545/The_computing_brain_abacus_based_mental_calculation_correlation_between_abacus_experts_and_normal_subjects_in_PET_study","owner_id":66130666,"coauthors_can_edit":true,"owner":{"id":66130666,"first_name":"Jason","middle_initials":null,"last_name":"Lee","page_name":"JasonLee337","domain_name":"independent","created_at":"2017-07-04T18:00:05.715-07:00","display_name":"Jason Lee","url":"https://independent.academia.edu/JasonLee337"},"attachments":[{"id":54388738,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/54388738/thumbnails/1.jpg","file_name":"cne.2003.119688920170909-27201-sna94n.pdf","download_url":"https://www.academia.edu/attachments/54388738/download_file","bulk_download_file_name":"The_computing_brain_abacus_based_mental.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/54388738/cne.2003.119688920170909-27201-sna94n-libre.pdf?1505000467=\u0026response-content-disposition=attachment%3B+filename%3DThe_computing_brain_abacus_based_mental.pdf\u0026Expires=1740603222\u0026Signature=ZOa6D3JI9VGaXKIs~NM7wkU9cbGPslGWeyw8CMd0fzblaw2SwQ4suHfDHRbTBJWK34CrZihBPSmCiy6BE~mtbJje2DCEipK6PaYHD8H4lSwNeW4YklUeVMh16RdWrznJLlwkJ8GdmjZbsckLhPrIml7Do2kwg5lpzbVAozq-8ncW9ienoKUivA3-c-p0Rt5xmgtQ6AN2nlGCXQzJBiWdfaW-NvhViucKccH5fN6Zfd1IhPRKFhA2PkesGc6ADzUFF2N79e2kqcp9UuZFDxGhsabUx7rCtikcDy7n0sZr2up9lKR9hJw86k0LPMnFcc-fXl8I4MctOBjcmrvlJHlrpw__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="34523544"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/34523544/Validation_of_GATE_Monte_Carlo_simulation_of_the_performance_characteristics_of_a_GE_eXplore_VISTA_small_animal_PET_system"><img alt="Research paper thumbnail of Validation of GATE Monte Carlo simulation of the performance characteristics of a GE eXplore VISTA small animal PET system" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/34523544/Validation_of_GATE_Monte_Carlo_simulation_of_the_performance_characteristics_of_a_GE_eXplore_VISTA_small_animal_PET_system">Validation of GATE Monte Carlo simulation of the performance characteristics of a GE eXplore VISTA small animal PET system</a></div><div class="wp-workCard_item"><span>2007 IEEE Nuclear Science Symposium Conference Record</span><span>, 2007</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">ABSTRACT</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="34523544"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="34523544"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 34523544; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=34523544]").text(description); $(".js-view-count[data-work-id=34523544]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 34523544; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='34523544']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=34523544]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":34523544,"title":"Validation of GATE Monte Carlo simulation of the performance characteristics of a GE eXplore VISTA small animal PET system","internal_url":"https://www.academia.edu/34523544/Validation_of_GATE_Monte_Carlo_simulation_of_the_performance_characteristics_of_a_GE_eXplore_VISTA_small_animal_PET_system","owner_id":66130666,"coauthors_can_edit":true,"owner":{"id":66130666,"first_name":"Jason","middle_initials":null,"last_name":"Lee","page_name":"JasonLee337","domain_name":"independent","created_at":"2017-07-04T18:00:05.715-07:00","display_name":"Jason Lee","url":"https://independent.academia.edu/JasonLee337"},"attachments":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="34523543"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/34523543/A_monitoring_sensor_management_system_for_grid_environments"><img alt="Research paper thumbnail of A monitoring sensor management system for grid environments" class="work-thumbnail" src="https://attachments.academia-assets.com/54388741/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/34523543/A_monitoring_sensor_management_system_for_grid_environments">A monitoring sensor management system for grid environments</a></div><div class="wp-workCard_item"><span>Proceedings the Ninth International Symposium on High-Performance Distributed Computing</span><span>, 2000</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Large distributed systems such as Computational Grids require a large amount of monitoring data b...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Large distributed systems such as Computational Grids require a large amount of monitoring data be collected for a variety of tasks such as fault detection, performance analysis, performance tuning, performance prediction, and scheduling. Ensuring that all necessary monitoring is turned on and that data is being collected can be a very tedious and error-prone task. We have developed an agent-based system to automate the execution of monitoring sensors and the collection of event data.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="9dd5ec4c3943bd3eaf2909ff60d5214b" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":54388741,"asset_id":34523543,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/54388741/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="34523543"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="34523543"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 34523543; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=34523543]").text(description); $(".js-view-count[data-work-id=34523543]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 34523543; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='34523543']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "9dd5ec4c3943bd3eaf2909ff60d5214b" } } $('.js-work-strip[data-work-id=34523543]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":34523543,"title":"A monitoring sensor management system for grid environments","internal_url":"https://www.academia.edu/34523543/A_monitoring_sensor_management_system_for_grid_environments","owner_id":66130666,"coauthors_can_edit":true,"owner":{"id":66130666,"first_name":"Jason","middle_initials":null,"last_name":"Lee","page_name":"JasonLee337","domain_name":"independent","created_at":"2017-07-04T18:00:05.715-07:00","display_name":"Jason Lee","url":"https://independent.academia.edu/JasonLee337"},"attachments":[{"id":54388741,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/54388741/thumbnails/1.jpg","file_name":"A_Monitoring_Sensor_Management_System_fo20170909-27209-1tft889.pdf","download_url":"https://www.academia.edu/attachments/54388741/download_file","bulk_download_file_name":"A_monitoring_sensor_management_system_fo.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/54388741/A_Monitoring_Sensor_Management_System_fo20170909-27209-1tft889-libre.pdf?1505000465=\u0026response-content-disposition=attachment%3B+filename%3DA_monitoring_sensor_management_system_fo.pdf\u0026Expires=1740603222\u0026Signature=ScbudeQjIGeB4RHSEpeYCnSqCwODB52o5h6adHDgQbHnyE8u3v5H8RkiOzsWOCSB1aeUoDFoZAQntzw7l9SgI92Kz1KCAq1BnN1LXOeBRS7lvK03i93lSQT0xNN3ZnSUzRUIptcKTyp-LWlk33S1lu5yagrevI2tWejMr7DmNjKuVSoSaH5M9jpCF5H5csyV1~cseQjNU8ib4OzsDNlR0y8P4-3puJQaGVzvUO-iu~FMcrUzGg3KI0Ca707N9dQSwanJsWN2~WZsz0hwQHW85AoCasVrg4YhDBHfy1RjZMItiOQ6avHpcpoubZiuTqq6qH~Wf-906ARVyaUUeQKW7w__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="34523542"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/34523542/Filtering_effects_on_polarimetric_SAR_image_classification"><img alt="Research paper thumbnail of Filtering effects on polarimetric SAR image classification" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/34523542/Filtering_effects_on_polarimetric_SAR_image_classification">Filtering effects on polarimetric SAR image classification</a></div><div class="wp-workCard_item"><span>Geoscience and Remote Sensing IEEE International Symposium</span><span>, 1997</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Feature extraction from SAR images is usually impeded by the presence of speckle noise. This beco...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Feature extraction from SAR images is usually impeded by the presence of speckle noise. This becomes more serious in the case of polarimetric SAR system. A polarimetric filter recently proposed by Lee et al. [1997] emphasizes not introducing additional cross-talk and statistical correlation between channels, preserving polarimetric information and not degrading the image quality. This paper exams its effects on</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="34523542"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="34523542"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 34523542; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=34523542]").text(description); $(".js-view-count[data-work-id=34523542]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 34523542; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='34523542']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=34523542]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":34523542,"title":"Filtering effects on polarimetric SAR image classification","internal_url":"https://www.academia.edu/34523542/Filtering_effects_on_polarimetric_SAR_image_classification","owner_id":66130666,"coauthors_can_edit":true,"owner":{"id":66130666,"first_name":"Jason","middle_initials":null,"last_name":"Lee","page_name":"JasonLee337","domain_name":"independent","created_at":"2017-07-04T18:00:05.715-07:00","display_name":"Jason Lee","url":"https://independent.academia.edu/JasonLee337"},"attachments":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="34523541"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/34523541/Radiation_dose_to_patients_and_image_quality_evaluation_from_coronary_256_slice_computed_tomographic_angiography"><img alt="Research paper thumbnail of Radiation dose to patients and image quality evaluation from coronary 256-slice computed tomographic angiography" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/34523541/Radiation_dose_to_patients_and_image_quality_evaluation_from_coronary_256_slice_computed_tomographic_angiography">Radiation dose to patients and image quality evaluation from coronary 256-slice computed tomographic angiography</a></div><div class="wp-workCard_item"><span>Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment</span><span>, 2010</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The aim of this study is to assess radiation dose and the corresponding image quality from sugges...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">The aim of this study is to assess radiation dose and the corresponding image quality from suggested CT protocols which depends on different mean heart rate and high heart rate variability by using 256-slice CT. Fifty consecutive patients referred for a cardiac CT examination were included in this study. All coronary computed tomographic angiography (CCTA) examinations were performed on a 256-slice CT scanner with one of five different protocols: retrospective ECG-gating (RGH) with full dose exposure in all R–R intervals (protocol A), RGH of 30–80% pulsing window with tube current modulation (B), RGH of 78±5% pulsing window with tube current modulation (C), prospective ECG-triggering (PGT) of 78% R–R interval with 5% padding window (D) and PGT of 78% R–R interval without padding window (E). Radiation dose parameters and image quality scoring were determined and compared. In this study, no significant differences were found in comparison on image quality of the five different protocols. Protocol A obtained the highest radiation dose comparing with those of protocols B, C, D and E by a factor of 1.6, 2.4, 2.5 and 4.3, respectively (p&lt;0.001), which were ranged between 2.7 and 11.8mSv. The PGT could significantly reduce radiation dose delivered to patients, as compared to the RGH. However, the use of PGT has limitations and is only good in assessing cases with lower mean heart rate and stable heart rate variability. With higher mean heart rate and high heart rate variability circumstances, the RGH within 30–80% of R–R interval pulsing window is suggested as a feasible technique for assessing diagnostic performance.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="34523541"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="34523541"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 34523541; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=34523541]").text(description); $(".js-view-count[data-work-id=34523541]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 34523541; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='34523541']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=34523541]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":34523541,"title":"Radiation dose to patients and image quality evaluation from coronary 256-slice computed tomographic angiography","internal_url":"https://www.academia.edu/34523541/Radiation_dose_to_patients_and_image_quality_evaluation_from_coronary_256_slice_computed_tomographic_angiography","owner_id":66130666,"coauthors_can_edit":true,"owner":{"id":66130666,"first_name":"Jason","middle_initials":null,"last_name":"Lee","page_name":"JasonLee337","domain_name":"independent","created_at":"2017-07-04T18:00:05.715-07:00","display_name":"Jason Lee","url":"https://independent.academia.edu/JasonLee337"},"attachments":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="34523540"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/34523540/Evaluation_of_radiation_dose_of_triple_rule_out_coronary_angiography_protocols_with_different_scan_length_using_256_slice_CT"><img alt="Research paper thumbnail of Evaluation of radiation dose of triple rule-out coronary angiography protocols with different scan length using 256-slice CT" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/34523540/Evaluation_of_radiation_dose_of_triple_rule_out_coronary_angiography_protocols_with_different_scan_length_using_256_slice_CT">Evaluation of radiation dose of triple rule-out coronary angiography protocols with different scan length using 256-slice CT</a></div><div class="wp-workCard_item"><span>Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment</span><span>, 2011</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Triple rule-out coronary CT angiography (TRO-CTA) is a new approach for providing noninvasive vis...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Triple rule-out coronary CT angiography (TRO-CTA) is a new approach for providing noninvasive visualization of coronary arteries with simultaneous evaluation of pulmonary arteries, thoracic aorta and other intrathoracic structures. The increasing use of TRO-CTA examination with longer scan length is associated with the concerns about radiation dose and their corresponding cancer risk. The purpose of this study is to evaluate</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="34523540"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="34523540"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 34523540; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=34523540]").text(description); $(".js-view-count[data-work-id=34523540]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 34523540; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='34523540']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=34523540]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":34523540,"title":"Evaluation of radiation dose of triple rule-out coronary angiography protocols with different scan length using 256-slice CT","internal_url":"https://www.academia.edu/34523540/Evaluation_of_radiation_dose_of_triple_rule_out_coronary_angiography_protocols_with_different_scan_length_using_256_slice_CT","owner_id":66130666,"coauthors_can_edit":true,"owner":{"id":66130666,"first_name":"Jason","middle_initials":null,"last_name":"Lee","page_name":"JasonLee337","domain_name":"independent","created_at":"2017-07-04T18:00:05.715-07:00","display_name":"Jason Lee","url":"https://independent.academia.edu/JasonLee337"},"attachments":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="34523539"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/34523539/CDF_Run_IIb_Silicon_The_innermost_layer"><img alt="Research paper thumbnail of CDF Run IIb Silicon: The innermost layer" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/34523539/CDF_Run_IIb_Silicon_The_innermost_layer">CDF Run IIb Silicon: The innermost layer</a></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="34523539"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="34523539"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 34523539; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=34523539]").text(description); $(".js-view-count[data-work-id=34523539]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 34523539; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='34523539']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=34523539]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":34523539,"title":"CDF Run IIb Silicon: The innermost layer","internal_url":"https://www.academia.edu/34523539/CDF_Run_IIb_Silicon_The_innermost_layer","owner_id":66130666,"coauthors_can_edit":true,"owner":{"id":66130666,"first_name":"Jason","middle_initials":null,"last_name":"Lee","page_name":"JasonLee337","domain_name":"independent","created_at":"2017-07-04T18:00:05.715-07:00","display_name":"Jason Lee","url":"https://independent.academia.edu/JasonLee337"},"attachments":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="34523538"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/34523538/Comparison_of_DC_RF_and_Dispersion_Properties_of_SOI_and_Strained_SOI_N_MOSFETs"><img alt="Research paper thumbnail of Comparison of DC, RF, and Dispersion Properties of SOI and Strained-SOI N-MOSFETs" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/34523538/Comparison_of_DC_RF_and_Dispersion_Properties_of_SOI_and_Strained_SOI_N_MOSFETs">Comparison of DC, RF, and Dispersion Properties of SOI and Strained-SOI N-MOSFETs</a></div><div class="wp-workCard_item"><span>Proceedings of the IEEE International Symposium on Industrial Electronics, 2005. ISIE 2005.</span><span>, 2005</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The operating performance of SOI and strained-SOI N-MOSFETs are compared. In particular, these pr...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">The operating performance of SOI and strained-SOI N-MOSFETs are compared. In particular, these properties are examined in detail: 1) electron mobility and DC characteristics, 2) high frequency behavior, 3) dispersion and self-heating effects, and 4) buried oxide interface trap density. Our results demonstrate that SSOI technology can improve ft and fmax conservatively by up to 50% without excessive dispersion/self-heating. Furthermore,</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="34523538"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="34523538"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 34523538; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=34523538]").text(description); $(".js-view-count[data-work-id=34523538]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 34523538; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='34523538']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=34523538]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":34523538,"title":"Comparison of DC, RF, and Dispersion Properties of SOI and Strained-SOI N-MOSFETs","internal_url":"https://www.academia.edu/34523538/Comparison_of_DC_RF_and_Dispersion_Properties_of_SOI_and_Strained_SOI_N_MOSFETs","owner_id":66130666,"coauthors_can_edit":true,"owner":{"id":66130666,"first_name":"Jason","middle_initials":null,"last_name":"Lee","page_name":"JasonLee337","domain_name":"independent","created_at":"2017-07-04T18:00:05.715-07:00","display_name":"Jason Lee","url":"https://independent.academia.edu/JasonLee337"},"attachments":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="34523537"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/34523537/The_effects_of_the_spl_infin_Fe_precipitation_on_the_coercive_force_of_the_rapidly_quenched_Pr_Fe_B_Zr_alloys"><img alt="Research paper thumbnail of The effects of the /spl infin/-Fe precipitation on the coercive force of the rapidly quenched Pr-Fe-B-Zr alloys" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/34523537/The_effects_of_the_spl_infin_Fe_precipitation_on_the_coercive_force_of_the_rapidly_quenched_Pr_Fe_B_Zr_alloys">The effects of the /spl infin/-Fe precipitation on the coercive force of the rapidly quenched Pr-Fe-B-Zr alloys</a></div><div class="wp-workCard_item"><span>International Conference on Magnetics</span><span>, 1990</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="34523537"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="34523537"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 34523537; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=34523537]").text(description); $(".js-view-count[data-work-id=34523537]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 34523537; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='34523537']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=34523537]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":34523537,"title":"The effects of the /spl infin/-Fe precipitation on the coercive force of the rapidly quenched Pr-Fe-B-Zr alloys","internal_url":"https://www.academia.edu/34523537/The_effects_of_the_spl_infin_Fe_precipitation_on_the_coercive_force_of_the_rapidly_quenched_Pr_Fe_B_Zr_alloys","owner_id":66130666,"coauthors_can_edit":true,"owner":{"id":66130666,"first_name":"Jason","middle_initials":null,"last_name":"Lee","page_name":"JasonLee337","domain_name":"independent","created_at":"2017-07-04T18:00:05.715-07:00","display_name":"Jason Lee","url":"https://independent.academia.edu/JasonLee337"},"attachments":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> </div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/google_contacts-0dfb882d836b94dbcb4a2d123d6933fc9533eda5be911641f20b4eb428429600.js"], function() { // from javascript_helper.rb $('.js-google-connect-button').click(function(e) { e.preventDefault(); GoogleContacts.authorize_and_show_contacts(); Aedu.Dismissibles.recordClickthrough("WowProfileImportContactsPrompt"); }); $('.js-update-biography-button').click(function(e) { e.preventDefault(); Aedu.Dismissibles.recordClickthrough("UpdateUserBiographyPrompt"); $.ajax({ url: $r.api_v0_profiles_update_about_path({ subdomain_param: 'api', about: "", }), type: 'PUT', success: function(response) { location.reload(); } }); }); $('.js-work-creator-button').click(function (e) { e.preventDefault(); window.location = $r.upload_funnel_document_path({ source: encodeURIComponent(""), }); }); $('.js-video-upload-button').click(function (e) { e.preventDefault(); window.location = $r.upload_funnel_video_path({ source: encodeURIComponent(""), }); }); $('.js-do-this-later-button').click(function() { $(this).closest('.js-profile-nag-panel').remove(); Aedu.Dismissibles.recordDismissal("WowProfileImportContactsPrompt"); }); $('.js-update-biography-do-this-later-button').click(function(){ $(this).closest('.js-profile-nag-panel').remove(); Aedu.Dismissibles.recordDismissal("UpdateUserBiographyPrompt"); }); $('.wow-profile-mentions-upsell--close').click(function(){ $('.wow-profile-mentions-upsell--panel').hide(); Aedu.Dismissibles.recordDismissal("WowProfileMentionsUpsell"); }); $('.wow-profile-mentions-upsell--button').click(function(){ Aedu.Dismissibles.recordClickthrough("WowProfileMentionsUpsell"); }); new WowProfile.SocialRedesignUserWorks({ initialWorksOffset: 20, allWorksOffset: 20, maxSections: 1 }) }); </script> </div></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile_edit-5ea339ee107c863779f560dd7275595239fed73f1a13d279d2b599a28c0ecd33.js","https://a.academia-assets.com/assets/add_coauthor-22174b608f9cb871d03443cafa7feac496fb50d7df2d66a53f5ee3c04ba67f53.js","https://a.academia-assets.com/assets/tab-dcac0130902f0cc2d8cb403714dd47454f11fc6fb0e99ae6a0827b06613abc20.js","https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js"], function() { // from javascript_helper.rb window.ae = window.ae || {}; window.ae.WowProfile = window.ae.WowProfile || {}; if(Aedu.User.current && Aedu.User.current.id === $viewedUser.id) { window.ae.WowProfile.current_user_edit = {}; new WowProfileEdit.EditUploadView({ el: '.js-edit-upload-button-wrapper', model: window.$current_user, }); new AddCoauthor.AddCoauthorsController(); } var userInfoView = new WowProfile.SocialRedesignUserInfo({ recaptcha_key: "6LdxlRMTAAAAADnu_zyLhLg0YF9uACwz78shpjJB" }); WowProfile.router = new WowProfile.Router({ userInfoView: userInfoView }); Backbone.history.start({ pushState: true, root: "/" + $viewedUser.page_name }); new WowProfile.UserWorksNav() }); </script> </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; } .sign-in-with-apple-button > div { margin: 0 auto; / This centers the Apple-rendered button horizontally }</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: "f342e14a0082f52d211796e8bd8367f905fa366e741e6b210b312175d92b2fdb", });</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="N1gpo8LDn1dPk-JG793Ue0TyxoaMYsV9NwhCMLwJ2dQtoXIJv8BZHr96VBHEzkNCs9kkEyEeHUkMAA8pBUa2rQ" 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://independent.academia.edu/JasonLee337" 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="xULFAC9EccjR2bIop-Az4eR5UM6jocUzIuNiMP8Pruzfu56qUke3gSEwBH-M86TYE1KyWw7dHQcZ6y8pRkDBlQ" 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/hc/en-us"><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>