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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 Diego Aguirre</h3></div><div class="js-work-strip profile--work_container" data-work-id="121020236"><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/121020236/Auriculilla_derecha_que_semeja_tumor_residual_en_un_mesotelioma_tratado_con_pleuropericardioneumonectom%C3%ADa_quimioterapia_e_IGRT"><img alt="Research paper thumbnail of Auriculilla derecha que semeja tumor residual en un mesotelioma tratado con pleuropericardioneumonectomía, quimioterapia e IGRT" class="work-thumbnail" src="https://attachments.academia-assets.com/116000988/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/121020236/Auriculilla_derecha_que_semeja_tumor_residual_en_un_mesotelioma_tratado_con_pleuropericardioneumonectom%C3%ADa_quimioterapia_e_IGRT">Auriculilla derecha que semeja tumor residual en un mesotelioma tratado con pleuropericardioneumonectomía, quimioterapia e IGRT</a></div><div class="wp-workCard_item"><span>Revista Colombiana de Hematología y Oncología</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="43f6a7a34f715a260da07b05976c9b6e" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":116000988,"asset_id":121020236,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/116000988/download_file?s=profile"><span><i class="fa 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href="https://www.academia.edu/121020235/Trombosis_cava_con_extensi%C3%B3n_auricular_en_un_paciente_con_hepatocarcinoma">Trombosis cava con extensión auricular en un paciente con hepatocarcinoma</a></div><div class="wp-workCard_item"><span>Revista Colombiana de Hematología y Oncología</span><span>, Jul 1, 2013</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="c1b5eee5e3bea121fd41c877e32e6bd3" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":116000986,"asset_id":121020235,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/116000986/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 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class="wp-workCard_item"><span>Revista Colombiana de Hematología y Oncología</span><span>, Apr 1, 2012</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Genotipo complejo en un paciente con GIST Complex genotype in a GIST patient Resumen Se presenta ...</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">Genotipo complejo en un paciente con GIST Complex genotype in a GIST patient Resumen Se presenta el caso de un hombre de 35 años diagnosticado de un tumor del estroma gastrointestinal (GIST) localizado en el yeyuno proximal y estratificado como de alto riesgo, en quien se resecó el primario sin evidencia de recaída, hasta documentar múltiples lesiones hepáticas, por lo que inició imatinib (Glivec ®) 400 mg/día. Después de encontrar progresión, se aumentaron las dosis del inhibidor sin respuesta, por lo que inició sunitinib (Sutent ®) 50 mg/día con el mismo resultado. Posteriormente, se realizó una reevaluación del histotipo y genotipificación, encontrando positividad para la mutación del exón 9 del gen KIT. A partir de noviembre del 2009, se administró sorafenib (Nexavar ®) 400 mg cada 12 horas, logrando una respuesta metabólica superior al 50% (evaluada por tomografía por emisión de positrones-PET/TAC-) y parcial siguiendo los criterios descritos por Choi y colaboradores. Durante el tratamiento de tercera línea, se efectuó una nueva biopsia del tumor, que demostró un genotipo complejo, incluyendo la mutación V600E del BRAF, y manteniendo el beneficio clínico con la intervención descrita hasta julio del 2011; en el momento, el paciente continúa vivo. A continuación, se plantea un análisis de los mecanismos moleculares que explican la resistencia a los inhibidores de tirosina-quinasa y las implicaciones sobre la terapéutica del GIST.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="9259a29ee4477d3123acb9f7c1230719" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":116000984,"asset_id":121020233,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/116000984/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="121020233"><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="121020233"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 121020233; 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$(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="121020232"><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/121020232/Imaging_manifestations_of_tropical_infectious_diseases_of_the_abdomen"><img alt="Research paper thumbnail of Imaging manifestations of tropical infectious diseases of the abdomen" 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/121020232/Imaging_manifestations_of_tropical_infectious_diseases_of_the_abdomen">Imaging manifestations of tropical infectious diseases of the abdomen</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Poster: &quot;ECR 2018 / C-2974 / Imaging manifestations of tropical infectious diseases of the a...</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">Poster: &quot;ECR 2018 / C-2974 / Imaging manifestations of tropical infectious diseases of the abdomen&quot; by: &quot;J. A. Abreu, M. D. Torres Guzman, D. Aguirre; Bogota/CO&quot;</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="121020232"><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="121020232"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 121020232; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=121020232]").text(description); $(".js-view-count[data-work-id=121020232]").attr('title', description).tooltip(); 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dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=121020232]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":121020232,"title":"Imaging manifestations of tropical infectious diseases of the abdomen","internal_url":"https://www.academia.edu/121020232/Imaging_manifestations_of_tropical_infectious_diseases_of_the_abdomen","owner_id":285439205,"coauthors_can_edit":true,"owner":{"id":285439205,"first_name":"Diego","middle_initials":null,"last_name":"Aguirre","page_name":"DiegoAguirre336","domain_name":"independent","created_at":"2023-09-25T19:00:49.685-07:00","display_name":"Diego Aguirre","url":"https://independent.academia.edu/DiegoAguirre336"},"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="121020229"><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/121020229/An%C3%A1lisis_de_algunos_factores_que_afectan_el_comportamiento_reproductivo_de_varias_razas_de_cerdos_en_una_piara_comercial_de_la_provincia_de_Heredia_Costa_Rica"><img alt="Research paper thumbnail of Análisis de algunos factores que afectan el comportamiento reproductivo de varias razas de cerdos en una piara comercial de la provincia de Heredia, Costa Rica" class="work-thumbnail" src="https://attachments.academia-assets.com/116001011/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/121020229/An%C3%A1lisis_de_algunos_factores_que_afectan_el_comportamiento_reproductivo_de_varias_razas_de_cerdos_en_una_piara_comercial_de_la_provincia_de_Heredia_Costa_Rica">Análisis de algunos factores que afectan el comportamiento reproductivo de varias razas de cerdos en una piara comercial de la provincia de Heredia, Costa Rica</a></div><div class="wp-workCard_item"><span>Uniciencia</span><span>, 2016</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Growth and reproductive records of a swine herd, located in the northern region of Heredia, were ...</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">Growth and reproductive records of a swine herd, located in the northern region of Heredia, were analyzed using least squares methodology in order to estimate the effect of some breed and non-genetical sources of variation. Breeds included in the analysis were Yorkshire, Landrace, Duroc and Hampshire. Crossbred sows were also considered. Studied traits were: litter size and weight at birth and at weaning, mortality from birth to weaning, lactation length, gestation length, rebreeding and farrowing interval. Dam´s breed significantly affected litter at birth meanwhile year of parturition and sire´s breed did not affect considered traits.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="1e72c6c84c0c576807bc6af220e8abc5" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":116001011,"asset_id":121020229,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/116001011/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="121020229"><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="121020229"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 121020229; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=121020229]").text(description); $(".js-view-count[data-work-id=121020229]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 121020229; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='121020229']"); 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: "1e72c6c84c0c576807bc6af220e8abc5" } } $('.js-work-strip[data-work-id=121020229]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":121020229,"title":"Análisis de algunos factores que afectan el comportamiento reproductivo de varias razas de cerdos en una piara comercial de la provincia de Heredia, Costa Rica","internal_url":"https://www.academia.edu/121020229/An%C3%A1lisis_de_algunos_factores_que_afectan_el_comportamiento_reproductivo_de_varias_razas_de_cerdos_en_una_piara_comercial_de_la_provincia_de_Heredia_Costa_Rica","owner_id":285439205,"coauthors_can_edit":true,"owner":{"id":285439205,"first_name":"Diego","middle_initials":null,"last_name":"Aguirre","page_name":"DiegoAguirre336","domain_name":"independent","created_at":"2023-09-25T19:00:49.685-07:00","display_name":"Diego Aguirre","url":"https://independent.academia.edu/DiegoAguirre336"},"attachments":[{"id":116001011,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/116001011/thumbnails/1.jpg","file_name":"5381397.pdf","download_url":"https://www.academia.edu/attachments/116001011/download_file","bulk_download_file_name":"Analisis_de_algunos_factores_que_afectan.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/116001011/5381397-libre.pdf?1718392637=\u0026response-content-disposition=attachment%3B+filename%3DAnalisis_de_algunos_factores_que_afectan.pdf\u0026Expires=1740238804\u0026Signature=A9iCvkabtY~~thsKcb~H4SxyPMkVCdBJfnIsKkJbg-m6Y-G3lqW-VQSP~rZbHWP1A7c1cqoWGMGk3F0Jv--HycSQI8ABXs1J2PYqJY713DpA9rwsIA0UrQ4q8i2TvdUrD3x3kwF5Yi7D26NbrIJfITGZ48~xDgWiaUinHed8TAGnb6P8FBQLGZ7mcoGyXrsE4UyeF3yyt7rcMiaWhsf7FcJSourpdEaJUvnAe5TV9dujz4iECAaESR2tzJjc3DIrYVO-NIPmQ5VK5lrAv~0bLaUeGbZGwK3HnV-cPt7Cv9XbF1n3Vzz0FnJrFh-7IA2GQl0eyQKlvUxptPhHQtwRtA__\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="121020228"><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/121020228/Automated_Evaluation_of_Short_Summaries"><img alt="Research paper thumbnail of Automated Evaluation of Short Summaries" class="work-thumbnail" src="https://attachments.academia-assets.com/116000983/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/121020228/Automated_Evaluation_of_Short_Summaries">Automated Evaluation of Short Summaries</a></div><div class="wp-workCard_item"><span>Int. J. Comput. Linguistics Appl.</span><span>, 2015</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Children in elementary school are not only taught to read, but to understand what they are readin...</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">Children in elementary school are not only taught to read, but to understand what they are reading. To assess and improve their ability to understand concepts, students are often required to write short summaries of articles. Due to their nature, these documents often include misspelled words, missing punctuation, and erroneous grammatical structure. Evaluating these summaries is a laborious task that not only demands a significant amount of time from professors, but also limits the speed in which students can receive feedback. This paper presents a method for evaluating short summaries written by elementary school students. Our experiments show that incorporating semantic similarity/relatedness measures between words benefits the tasks of attribute selection and attribute weighting. We also show that preprocessing steps, such as the correction of misspelled words, are beneficial for the evaluation of short summaries. Our automatic grader has a mean absolute error of 0.98 when compa...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="4b754c89779ce09efa70b22dcbc0f762" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":116000983,"asset_id":121020228,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/116000983/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="121020228"><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="121020228"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 121020228; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=121020228]").text(description); $(".js-view-count[data-work-id=121020228]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 121020228; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='121020228']"); 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: "4b754c89779ce09efa70b22dcbc0f762" } } $('.js-work-strip[data-work-id=121020228]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":121020228,"title":"Automated Evaluation of Short Summaries","internal_url":"https://www.academia.edu/121020228/Automated_Evaluation_of_Short_Summaries","owner_id":285439205,"coauthors_can_edit":true,"owner":{"id":285439205,"first_name":"Diego","middle_initials":null,"last_name":"Aguirre","page_name":"DiegoAguirre336","domain_name":"independent","created_at":"2023-09-25T19:00:49.685-07:00","display_name":"Diego Aguirre","url":"https://independent.academia.edu/DiegoAguirre336"},"attachments":[{"id":116000983,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/116000983/thumbnails/1.jpg","file_name":"IJCLA-2015-1-pp-103-116-Automated-Evaluation-of-Short-Summaries.pdf","download_url":"https://www.academia.edu/attachments/116000983/download_file","bulk_download_file_name":"Automated_Evaluation_of_Short_Summaries.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/116000983/IJCLA-2015-1-pp-103-116-Automated-Evaluation-of-Short-Summaries-libre.pdf?1718392647=\u0026response-content-disposition=attachment%3B+filename%3DAutomated_Evaluation_of_Short_Summaries.pdf\u0026Expires=1740238804\u0026Signature=LOK-KjaaXZAbxk7Tn3oRxo3OJUKgRRmz1tlp2PpS3EoA0rRbLamUBzEtxIBY9Axg9O43KDslZUbknryc6BHRr2cMKJt-F2ZGFp1EkuUoAgwqknWg-tOCw2jD2fpvJ7fPBBlektRMPB9OfwN4BzP9efVJSrXiBGb0FUt2vsewwvGtdYYrChJX5HdQ4JZkCAdb5Tx4V8KeDudMwq6BfLcxl~ZFSvB9wb6kP5WMYYOFegYzJNmKdm~f~NauUWNkSIzv7uAIqu5rixCtnVq8zeU1~b~pY9e-a-VQIWxO~z8Z~a6RqMMu6zuBQDJUHDCE72DfYB3TClZTbPKAEDzGhO2dhQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"},{"id":116000982,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/116000982/thumbnails/1.jpg","file_name":"IJCLA-2015-1-pp-103-116-Automated-Evaluation-of-Short-Summaries.pdf","download_url":"https://www.academia.edu/attachments/116000982/download_file","bulk_download_file_name":"Automated_Evaluation_of_Short_Summaries.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/116000982/IJCLA-2015-1-pp-103-116-Automated-Evaluation-of-Short-Summaries-libre.pdf?1718392645=\u0026response-content-disposition=attachment%3B+filename%3DAutomated_Evaluation_of_Short_Summaries.pdf\u0026Expires=1740238804\u0026Signature=aFbdd6rEI162M6zzEKJ0nq4I4o9Ke7Ptlre7NdMQlgj61n3ejbqMJyDjcCG-B6S-oNHIGc9wIzhr19FRbx4-R5oiLo7Hf0YcPlAOq0bp~yDJOSlfhY7tC6V4ijP6~1JrORndbtt7pFFR9i2CpoLi6yGBLJAw68hZG7iHvgACVHif9g5TlyjE8GORUG~8kSPu8uoPOy7MxCIe2nQyHw7yo1x3l-~O6HyqVFQhEdtIArPUtZ2G04xSSJYBV3A8zqrNKCQvU83DsEBJU4vq56QbS0Zvd8ojowFqa~~Migspnac5L-SPkMVJkOWcUhaBGGZeFpW8x-FPtXlJWaTp3KSOmA__\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="121020227"><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/121020227/A_Novel_Set_Of_Weight_Initialization_Techniques_For_Deep_Learning_Architectures"><img alt="Research paper thumbnail of A Novel Set Of Weight Initialization Techniques For Deep Learning Architectures" class="work-thumbnail" src="https://attachments.academia-assets.com/116000981/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/121020227/A_Novel_Set_Of_Weight_Initialization_Techniques_For_Deep_Learning_Architectures">A Novel Set Of Weight Initialization Techniques For Deep Learning Architectures</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The importance of weight initialization when building a deep learning model is often underappreci...</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 importance of weight initialization when building a deep learning model is often underappreciated. Even though it is usually seen as a minor detail in the model creation cycle, this process has shown to have a strong impact on the training time of a network and the quality of the resulting model (68). In fact, the implications of choosing a poor initialization scheme range from leading to the creation of a poorly performing model to preventing optimization techniques (like stochastic gradient descent) from converging (26). In this work, we introduce and evaluate a set of novel weight initialization techniques for deep learning architectures. These techniques use an initialization data set (extracted from the training data set) to compute the initial values of a layer’s weights. They also use properties about the problem and network architecture to better select initial weight values. The first scheme in our set focuses on the initialization of dense and convolutional layers that...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="9516c176fc09b8af3b1281a4f7e90870" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":116000981,"asset_id":121020227,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/116000981/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="121020227"><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="121020227"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 121020227; 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$(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="121020226"><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/121020226/Smaller_Standard_Deviation_for_Initial_Weights_Improves_Performance_of_Classifying_Neural_Networks_A_Theoretical_Explanation_of_Unexpected_Simulation_Results"><img alt="Research paper thumbnail of Smaller Standard Deviation for Initial Weights Improves Performance of Classifying Neural Networks: A Theoretical Explanation of Unexpected Simulation Results" class="work-thumbnail" src="https://attachments.academia-assets.com/116001010/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/121020226/Smaller_Standard_Deviation_for_Initial_Weights_Improves_Performance_of_Classifying_Neural_Networks_A_Theoretical_Explanation_of_Unexpected_Simulation_Results">Smaller Standard Deviation for Initial Weights Improves Performance of Classifying Neural Networks: A Theoretical Explanation of Unexpected Simulation Results</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Numerical experiments show that for classifying neural networks, it is beneficial to select a sma...</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">Numerical experiments show that for classifying neural networks, it is beneficial to select a smaller deviation for initial weights that what is usually recommended. In this paper, we provide a theoretical explanation for these unexpected simulation results. 1 Formulation of the Problem Classifying neural networks: a brief reminder. In deep learning [2], a neural network that classifies into C classes works as follows: • Computations start with the values x1, . . . , xv describing the object that we need to classify. These values are the input signals for the first layer: si,1 = xi for i = 1, . . . , n0 def = v. • On each layer `, input signals s1,`, . . . , sn`−1,` to this layer get transformed into outputs si,`+1 = max n`−1 ∑ j=1 w (`) i,j · sj,` − w (`) i,0 , 0  ,</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="f9d36d8cf309f9086d0011044009b7b8" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":116001010,"asset_id":121020226,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/116001010/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="121020226"><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="121020226"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 121020226; 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$(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="121020225"><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/121020225/Efecto_de_la_fertilizaci%C3%B3n_nitrogenada_e_intervalos_de_corte_sobre_el_valor_nutritivo_potencial_del_pasto_King_grass_Pennisetum_purpureum_x_Pennisetum_typhoides_Durante_la_%C3%A9poca_lluviosa"><img alt="Research paper thumbnail of Efecto de la fertilización nitrogenada e intervalos de corte sobre el valor nutritivo potencial del pasto King grass. (Pennisetum purpureum x Pennisetum typhoides). Durante la época lluviosa" class="work-thumbnail" src="https://attachments.academia-assets.com/116001008/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/121020225/Efecto_de_la_fertilizaci%C3%B3n_nitrogenada_e_intervalos_de_corte_sobre_el_valor_nutritivo_potencial_del_pasto_King_grass_Pennisetum_purpureum_x_Pennisetum_typhoides_Durante_la_%C3%A9poca_lluviosa">Efecto de la fertilización nitrogenada e intervalos de corte sobre el valor nutritivo potencial del pasto King grass. (Pennisetum purpureum x Pennisetum typhoides). Durante la época lluviosa</a></div><div class="wp-workCard_item"><span>Uniciencia</span><span>, 2016</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Data from a experiment that utilized King Grass forage (Pennisetum purpureum x Pennisetum typhoid...</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">Data from a experiment that utilized King Grass forage (Pennisetum purpureum x Pennisetum typhoides) with four nitrogen fertilization levels (0, 100, 200 and 300 kg Ha -1 ) and five harvest intervals (35, 49, 63, 77 and 91 d) were analyzed by an analysis of variance under an split plot design. The study variables were dry matter production (DM kg Ha -1 harvest -1 ), crude protein production (CP kg Ha -1 harvest -1 ) and its CP% contents and in vitro dry matter digestibility (I.V.D.M.D). The research was done in National University, Santa Lucia Research Farms at Heredia, Costa Rica. The climatic characteristics during the research period were 19.7°C temperature and 2.000 mm rainfall mean. Dry matter production was increased by the nitrogen fertilization (P=&lt;0.05) CP production also was incremented by fertilization. However the I.V.D.M.D. was not affected by the fertilizer treatments. The harvest period did increase the DM production (P=&lt;0.05) and the CP production by cutting bu...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="5d100a277fb689737f1dd95b3e393b84" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":116001008,"asset_id":121020225,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/116001008/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="121020225"><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="121020225"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 121020225; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=121020225]").text(description); $(".js-view-count[data-work-id=121020225]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 121020225; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='121020225']"); 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: "5d100a277fb689737f1dd95b3e393b84" } } $('.js-work-strip[data-work-id=121020225]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":121020225,"title":"Efecto de la fertilización nitrogenada e intervalos de corte sobre el valor nutritivo potencial del pasto King grass. (Pennisetum purpureum x Pennisetum typhoides). Durante la época lluviosa","internal_url":"https://www.academia.edu/121020225/Efecto_de_la_fertilizaci%C3%B3n_nitrogenada_e_intervalos_de_corte_sobre_el_valor_nutritivo_potencial_del_pasto_King_grass_Pennisetum_purpureum_x_Pennisetum_typhoides_Durante_la_%C3%A9poca_lluviosa","owner_id":285439205,"coauthors_can_edit":true,"owner":{"id":285439205,"first_name":"Diego","middle_initials":null,"last_name":"Aguirre","page_name":"DiegoAguirre336","domain_name":"independent","created_at":"2023-09-25T19:00:49.685-07:00","display_name":"Diego Aguirre","url":"https://independent.academia.edu/DiegoAguirre336"},"attachments":[{"id":116001008,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/116001008/thumbnails/1.jpg","file_name":"5238.pdf","download_url":"https://www.academia.edu/attachments/116001008/download_file","bulk_download_file_name":"Efecto_de_la_fertilizacion_nitrogenada_e.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/116001008/5238-libre.pdf?1718392636=\u0026response-content-disposition=attachment%3B+filename%3DEfecto_de_la_fertilizacion_nitrogenada_e.pdf\u0026Expires=1740238804\u0026Signature=ZIVQ6mGhfR25OwN-Sf4KXEsI2AUn1Bi3AfpgAt5Gp22BiyiUsW-y-cYSJ8oU96FOH2hhac1sCNjT2D4pw8rvVShwSoV4aQxsn0GYmtuK9E2QeIBEvSZoNmPq-TdxSwfpb5eaOlRmMLqdqY8WKknM0fOPpRot8XMpMqlQBr1QhoB0kToDRUjXQUi8hQEwnXaXAS6ZjmsNDVF3LHod~cOxg8lboJ0IPBW2xUm7YlCv65nhfufgmfKj6pWTX1cO1u7FRGiahe6g3x7UI63eDA6PISD5jKwVJVivKegqtFJbaQGmmKyLEZd6LyjxxLEkxa~fpNfzlxD1aQ4l9atjiz0Ung__\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="121020224"><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/121020224/Tracking_Dynamic_Properties_of_Civil_Structures_while_Subjected_to_Seismic_Excitations"><img alt="Research paper thumbnail of Tracking Dynamic Properties of Civil Structures while Subjected to Seismic Excitations" class="work-thumbnail" src="https://attachments.academia-assets.com/116000977/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/121020224/Tracking_Dynamic_Properties_of_Civil_Structures_while_Subjected_to_Seismic_Excitations">Tracking Dynamic Properties of Civil Structures while Subjected to Seismic Excitations</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">This article examines the variations of natural frequencies, equivalent damping ratios and the hi...</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">This article examines the variations of natural frequencies, equivalent damping ratios and the high frequency component of the response as damage indicators in reinforced concrete structures subjected to seismic excitations. Experimental and simulated data from a shake table test of a real scale reinforced concrete column subjected to a sequential load protocol of increased intensity is used for this purpose. Conventional methodologies that operate on the free decay and white noise excitation responses are engaged to estimate natural frequencies and damping ratios before and after each earthquake load. Model-free output-only methodologies based on the Continuous Wavelet Transform (CWT) and Fast Wavelet Transform (FWT) of the registered accelerations are used to track frequency shifts and detect anomalies in the high frequency component of the response, respectively. It was found that the frequency shifts identified in the CWT analyses could be partially related to severe inelastic e...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="1b9f435a667bfdae10d23a0ed07f4590" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":116000977,"asset_id":121020224,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/116000977/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="121020224"><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="121020224"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 121020224; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=121020224]").text(description); $(".js-view-count[data-work-id=121020224]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 121020224; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='121020224']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); 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$(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="121020223"><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/121020223/Developing_Distributed_Collaborative_Applications_with_HTML5_under_the_Coupled_Objects_Paradigm"><img alt="Research paper thumbnail of Developing Distributed Collaborative Applications with HTML5 under the Coupled Objects Paradigm" class="work-thumbnail" src="https://attachments.academia-assets.com/116001009/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/121020223/Developing_Distributed_Collaborative_Applications_with_HTML5_under_the_Coupled_Objects_Paradigm">Developing Distributed Collaborative Applications with HTML5 under the Coupled Objects Paradigm</a></div><div class="wp-workCard_item"><span>Journal of Universal Computer Science</span><span>, 2014</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">One of the main tasks in developing distributed collaborative systems is to support synchronizati...</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">One of the main tasks in developing distributed collaborative systems is to support synchronization processes. The Coupled Objects paradigm has emerged as a way to easily support these processes by dynamically coupling arbitrary user interface objects between heterogeneous applications. In this article we present an architecture for developing distributed collaborative applications using HTML5 and show its usage through the design and implementation of a series of collaborative systems in different scenarios. The experience of developing and using this architecture has shown that it is easy to use, robust and has good performance.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="b83fdb48c31434009aa3b1624b73b651" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":116001009,"asset_id":121020223,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/116001009/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="121020223"><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="121020223"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 121020223; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=121020223]").text(description); $(".js-view-count[data-work-id=121020223]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 121020223; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='121020223']"); 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: "b83fdb48c31434009aa3b1624b73b651" } } $('.js-work-strip[data-work-id=121020223]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":121020223,"title":"Developing Distributed Collaborative Applications with HTML5 under the Coupled Objects Paradigm","internal_url":"https://www.academia.edu/121020223/Developing_Distributed_Collaborative_Applications_with_HTML5_under_the_Coupled_Objects_Paradigm","owner_id":285439205,"coauthors_can_edit":true,"owner":{"id":285439205,"first_name":"Diego","middle_initials":null,"last_name":"Aguirre","page_name":"DiegoAguirre336","domain_name":"independent","created_at":"2023-09-25T19:00:49.685-07:00","display_name":"Diego Aguirre","url":"https://independent.academia.edu/DiegoAguirre336"},"attachments":[{"id":116001009,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/116001009/thumbnails/1.jpg","file_name":"cca2014_submission_13.pdf","download_url":"https://www.academia.edu/attachments/116001009/download_file","bulk_download_file_name":"Developing_Distributed_Collaborative_App.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/116001009/cca2014_submission_13-libre.pdf?1718392652=\u0026response-content-disposition=attachment%3B+filename%3DDeveloping_Distributed_Collaborative_App.pdf\u0026Expires=1740238804\u0026Signature=NyHwk~XdeGsGXwqRWoERYpbRAtdV79EkZYVh8fg43eaoP1Da6zR2vcQWJ9p48dFkCHV5zC9rJIYliRFm3~52lUVUz~8a8heAVRyxF66RWawLs-4ry1Ygu0XY6wHk5dRI54calNZeUVHrRQ5zKAd0rv6UfXTchPQqSkOIRkz4XVqKEvo3LFe775azlIgtHd5xkvGV-5059q41rYzHRQcZdMWFPQQahL-aeczCAtnvbEzOoymRlc5mCzEFZ~nCc~XVxWb6R0o~lsOGluZJuDN0-j3CwmgISsdfOBKP-mIzzT96nGV4sNzCk~m3R9~0anA0vc-gc6Dzn02k0qinJXo-hA__\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="121020222"><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/121020222/Improving_Weight_Initialization_of_ReLU_and_Output_Layers"><img alt="Research paper thumbnail of Improving Weight Initialization of ReLU and Output Layers" 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/121020222/Improving_Weight_Initialization_of_ReLU_and_Output_Layers">Improving Weight Initialization of ReLU and Output Layers</a></div><div class="wp-workCard_item"><span>Lecture Notes in Computer Science</span><span>, 2019</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">We introduce a data-dependent weight initialization scheme for ReLU and output layers commonly fo...</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 introduce a data-dependent weight initialization scheme for ReLU and output layers commonly found in modern neural network architectures. An initial feedforward pass through the network is performed using an initialization set (a subset of the training data set). Using statistics obtained from this pass, we initialize the weights of the network, so the following properties are met: (1) weight matrices are orthogonal; (2) ReLU layers produce a predetermined fraction of non-zero activations; (3) the outputs produced by internal layers have a predetermined variance; (4) weights in the last layer are chosen to minimize the squared error in the initialization set. We evaluate our method on popular architectures (VGG16, VGG19, and InceptionV3) and faster convergence rates are achieved on the ImageNet data set when compared to state-of-the-art initialization techniques (LSUV, He, and Glorot).</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="121020222"><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="121020222"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 121020222; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=121020222]").text(description); $(".js-view-count[data-work-id=121020222]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 121020222; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='121020222']"); 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" } } $('.js-work-strip[data-work-id=121020222]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":121020222,"title":"Improving Weight Initialization of ReLU and Output Layers","internal_url":"https://www.academia.edu/121020222/Improving_Weight_Initialization_of_ReLU_and_Output_Layers","owner_id":285439205,"coauthors_can_edit":true,"owner":{"id":285439205,"first_name":"Diego","middle_initials":null,"last_name":"Aguirre","page_name":"DiegoAguirre336","domain_name":"independent","created_at":"2023-09-25T19:00:49.685-07:00","display_name":"Diego Aguirre","url":"https://independent.academia.edu/DiegoAguirre336"},"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="121020221"><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/121020221/Imaging_of_hepatocellular_carcinoma_a_pilot_international_survey"><img alt="Research paper thumbnail of Imaging of hepatocellular carcinoma: a pilot international survey" class="work-thumbnail" src="https://attachments.academia-assets.com/116001007/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/121020221/Imaging_of_hepatocellular_carcinoma_a_pilot_international_survey">Imaging of hepatocellular carcinoma: a pilot international survey</a></div><div class="wp-workCard_item"><span>Abdominal Radiology</span><span>, 2020</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Purpose To perform an international survey on current practices in imaging-based surveillance, di...</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">Purpose To perform an international survey on current practices in imaging-based surveillance, diagnosis, staging, and assessment of treatment response for HCC. Materials and methods Three themes were covered in this international survey: demographics of respondents and liver imaging expertise; imaging practices for screening, surveillance, diagnosis, staging, and assessment of treatment response for HCC; and diagnostic imaging systems used. Descriptive summaries were created.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="62225abb90a559a8ab214b173c1a76f0" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":116001007,"asset_id":121020221,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/116001007/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="121020221"><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="121020221"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 121020221; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=121020221]").text(description); $(".js-view-count[data-work-id=121020221]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 121020221; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='121020221']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); 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$(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="121020219"><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/121020219/Diagnostic_Accuracy_of_Multiparametric_Magnetic_Resonance_Imaging_to_Identify_Clear_Cell_Renal_Cell_Carcinoma_in_cT1a_Renal_Masses"><img alt="Research paper thumbnail of Diagnostic Accuracy of Multiparametric Magnetic Resonance Imaging to Identify Clear Cell Renal Cell Carcinoma in cT1a Renal Masses" class="work-thumbnail" src="https://attachments.academia-assets.com/116001002/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/121020219/Diagnostic_Accuracy_of_Multiparametric_Magnetic_Resonance_Imaging_to_Identify_Clear_Cell_Renal_Cell_Carcinoma_in_cT1a_Renal_Masses">Diagnostic Accuracy of Multiparametric Magnetic Resonance Imaging to Identify Clear Cell Renal Cell Carcinoma in cT1a Renal Masses</a></div><div class="wp-workCard_item"><span>The Journal of urology</span><span>, Jan 27, 2017</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Detection of small renal masses is increasing with the use of cross-sectional imaging, although 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">Detection of small renal masses is increasing with the use of cross-sectional imaging, although many incidental lesions have negligible metastatic potential. Among malignant masses, clear cell renal cell carcinoma is the most prevalent and aggressive subtype, and a method to identify such histology would aid in risk stratification. Our goal was to evaluate a likelihood scale for multiparametric magnetic resonance imaging in the diagnosis of clear cell histology. Patients with cT1a masses who underwent MRI and partial or radical nephrectomy from December 2011 to July 2015 were retrospectively reviewed. Seven radiologists with different levels of experience and blinded to final pathology independently reviewed studies based on a predefined algorithm, and applied a clear cell likelihood score: 1) definitely not, 2) probably not, 3) equivocal, 4) probably, and 5) definitely. Binary classification determined the accuracy of clear cell versus &#39;all other&#39; histologies, and inter-obs...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="e8361755e164e7de57ef10aa53ca190d" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":116001002,"asset_id":121020219,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/116001002/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="121020219"><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="121020219"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 121020219; 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$(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="121020218"><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/121020218/On_the_use_of_numerical_models_for_validation_of_high_frequency_based_damage_detection_methodologies"><img alt="Research paper thumbnail of On the use of numerical models for validation of high frequency based damage detection methodologies" class="work-thumbnail" src="https://attachments.academia-assets.com/116001000/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/121020218/On_the_use_of_numerical_models_for_validation_of_high_frequency_based_damage_detection_methodologies">On the use of numerical models for validation of high frequency based damage detection methodologies</a></div><div class="wp-workCard_item"><span>Structural Monitoring and Maintenance</span><span>, 2015</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">This article identifies and addresses current limitations on the use of numerical models for vali...</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">This article identifies and addresses current limitations on the use of numerical models for validation and/or calibration of damage detection methodologies that are based on the analysis of the high frequency response of the structure to identify the occurrence of abrupt anomalies. Distributed-plasticity non-linear fiber-based models in combination with experimental data from a full-scale reinforced concrete column test are used to point out current modeling techniques limitations. It was found that the numerical model was capable of reproducing the global and local response of the structure at a wide range of inelastic demands, including the occurrences of rebar ruptures. However, when abrupt sudden damage occurs, like rebar fracture, a high frequency pulse is detected in the accelerations recorded in the structure that the numerical model is incapable of reproducing. Since the occurrence of such pulse is fundamental on the detection of damage, it is proposed to add this effect to the simulated response before it is used for validation purposes.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="8dcfa19d617c79d33d727d5b54676aaa" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":116001000,"asset_id":121020218,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/116001000/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="121020218"><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="121020218"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 121020218; 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$(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="121020216"><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/121020216/Evaluation_of_Three_Pneumothorax_Size_Quantification_Methods_on_Digitized_Chest_X_ray_Films_Using_Medical_Grade_Grayscale_and_Consumer_Grade_Color_Displays"><img alt="Research paper thumbnail of Evaluation of Three Pneumothorax Size Quantification Methods on Digitized Chest X-ray Films Using Medical-Grade Grayscale and Consumer-Grade Color Displays" class="work-thumbnail" src="https://attachments.academia-assets.com/116001001/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/121020216/Evaluation_of_Three_Pneumothorax_Size_Quantification_Methods_on_Digitized_Chest_X_ray_Films_Using_Medical_Grade_Grayscale_and_Consumer_Grade_Color_Displays">Evaluation of Three Pneumothorax Size Quantification Methods on Digitized Chest X-ray Films Using Medical-Grade Grayscale and Consumer-Grade Color Displays</a></div><div class="wp-workCard_item"><span>Journal of Digital Imaging</span><span>, 2013</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">This study focused on the effects of pneumothorax size quantification in digital radiology enviro...</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">This study focused on the effects of pneumothorax size quantification in digital radiology environments when a quantification method is selected according to the radiologist's criteria. The objective of this study was to assess the effects of factors, including the radiologist (with different experience), displays (medical-grade and consumer-grade displays), or display calibration, on the Rhea, Collins, and Light quantification methods. This study used a factorial design with 76 cases, including 16 pneumothorax cases observed by six radiologists on three displays with and without the DICOM standard calibration. The gold standard was established by two radiologists by using computed tomography. Analysis of variance (ANOVA) was performed on the pneumothorax sizes. For the three quantifications methods, none of the evaluated factors were significant. We conclude that radiologists, displays, and calibration do not significantly affect the quantification of pneumothorax size in different digital radiology environments.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="e05fc9e25c009ad542a7b445b7ea3cf9" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":116001001,"asset_id":121020216,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/116001001/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="121020216"><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="121020216"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 121020216; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=121020216]").text(description); $(".js-view-count[data-work-id=121020216]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 121020216; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='121020216']"); 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: "e05fc9e25c009ad542a7b445b7ea3cf9" } } $('.js-work-strip[data-work-id=121020216]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":121020216,"title":"Evaluation of Three Pneumothorax Size Quantification Methods on Digitized Chest X-ray Films Using Medical-Grade Grayscale and Consumer-Grade Color Displays","internal_url":"https://www.academia.edu/121020216/Evaluation_of_Three_Pneumothorax_Size_Quantification_Methods_on_Digitized_Chest_X_ray_Films_Using_Medical_Grade_Grayscale_and_Consumer_Grade_Color_Displays","owner_id":285439205,"coauthors_can_edit":true,"owner":{"id":285439205,"first_name":"Diego","middle_initials":null,"last_name":"Aguirre","page_name":"DiegoAguirre336","domain_name":"independent","created_at":"2023-09-25T19:00:49.685-07:00","display_name":"Diego Aguirre","url":"https://independent.academia.edu/DiegoAguirre336"},"attachments":[{"id":116001001,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/116001001/thumbnails/1.jpg","file_name":"pmc3948932.pdf","download_url":"https://www.academia.edu/attachments/116001001/download_file","bulk_download_file_name":"Evaluation_of_Three_Pneumothorax_Size_Qu.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/116001001/pmc3948932-libre.pdf?1718392641=\u0026response-content-disposition=attachment%3B+filename%3DEvaluation_of_Three_Pneumothorax_Size_Qu.pdf\u0026Expires=1740238804\u0026Signature=Xh87v6rY4TtpK3fLPIe8uySXCiJKaA2zR5SQ-m1s7vIGHSLImxOHMh0rBumvB4fDWqphqXIQx-a2Mjn1PcGhz1KAqwAx0ZtOAE6BvuLs~hb9Stl9LJnOlZg0oBz0eUz~G1e4RKvSHKtUuMg2DLeajyCuF0xAbKVM8JxzNRGbUeknZSyvNMA~FUPVkeHjIiyHnuLXLcQ7BeZLwbflqg6H8f8boZoaSHL8wqVMIb-H1zNfpQAX05KyOkaZvluADxfIiefuEMGP-ba9SPGARFrU1UuA3Bl5RzBo-po5GWoZ1aGlsIWEOmmBkj~qB2FQL0Knz~d8jovPfZ8eMbcDVGDigw__\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="121020215"><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/121020215/Comparison_between_Different_Cost_Devices_for_Digital_Capture_of_X_ray_Films_An_Image_Characteristics_Detection_Approach"><img alt="Research paper thumbnail of Comparison between Different Cost Devices for Digital Capture of X-ray Films: An Image Characteristics Detection Approach" class="work-thumbnail" src="https://attachments.academia-assets.com/116000998/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/121020215/Comparison_between_Different_Cost_Devices_for_Digital_Capture_of_X_ray_Films_An_Image_Characteristics_Detection_Approach">Comparison between Different Cost Devices for Digital Capture of X-ray Films: An Image Characteristics Detection Approach</a></div><div class="wp-workCard_item"><span>Journal of Digital Imaging</span><span>, 2011</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">A common teleradiology practice is digitizing films. The costs of specialized digitizers are very...</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">A common teleradiology practice is digitizing films. The costs of specialized digitizers are very high, that is why there is a trend to use conventional scanners and digital cameras. Statistical clinical studies are required to determine the accuracy of these devices, which are very difficult to carry out. The purpose of this study was to compare three capture devices in terms of their capacity to detect several image characteristics. Spatial resolution, contrast, gray levels, and geometric deformation were compared for a specialized digitizer ICR (US$ 15,000), a conventional scanner UMAX (US$ 1,800), and a digital camera LUMIX (US$ 450, but require an additional support system and a light box for about US$ 400). Test patterns printed in films were used. The results detected gray levels lower than real values for all three devices; acceptable contrast and low geometric deformation with three devices. All three devices are appropriate solutions, but a digital camera requires more operator training and more settings.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="225fe2a619dcc306befb97982166a027" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":116000998,"asset_id":121020215,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/116000998/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="121020215"><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="121020215"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 121020215; 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$(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="121020235"><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/121020235/Trombosis_cava_con_extensi%C3%B3n_auricular_en_un_paciente_con_hepatocarcinoma"><img alt="Research paper thumbnail of Trombosis cava con extensión auricular en un paciente con hepatocarcinoma" class="work-thumbnail" src="https://attachments.academia-assets.com/116000986/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/121020235/Trombosis_cava_con_extensi%C3%B3n_auricular_en_un_paciente_con_hepatocarcinoma">Trombosis cava con extensión auricular en un paciente con hepatocarcinoma</a></div><div class="wp-workCard_item"><span>Revista Colombiana de Hematología y Oncología</span><span>, Jul 1, 2013</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="c1b5eee5e3bea121fd41c877e32e6bd3" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":116000986,"asset_id":121020235,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/116000986/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="121020235"><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="121020235"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 121020235; 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$(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="121020233"><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/121020233/Genotipo_complejo_en_un_paciente_con_GIST"><img alt="Research paper thumbnail of Genotipo complejo en un paciente con GIST" class="work-thumbnail" src="https://attachments.academia-assets.com/116000984/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/121020233/Genotipo_complejo_en_un_paciente_con_GIST">Genotipo complejo en un paciente con GIST</a></div><div class="wp-workCard_item"><span>Revista Colombiana de Hematología y Oncología</span><span>, Apr 1, 2012</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Genotipo complejo en un paciente con GIST Complex genotype in a GIST patient Resumen Se presenta ...</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">Genotipo complejo en un paciente con GIST Complex genotype in a GIST patient Resumen Se presenta el caso de un hombre de 35 años diagnosticado de un tumor del estroma gastrointestinal (GIST) localizado en el yeyuno proximal y estratificado como de alto riesgo, en quien se resecó el primario sin evidencia de recaída, hasta documentar múltiples lesiones hepáticas, por lo que inició imatinib (Glivec ®) 400 mg/día. Después de encontrar progresión, se aumentaron las dosis del inhibidor sin respuesta, por lo que inició sunitinib (Sutent ®) 50 mg/día con el mismo resultado. Posteriormente, se realizó una reevaluación del histotipo y genotipificación, encontrando positividad para la mutación del exón 9 del gen KIT. A partir de noviembre del 2009, se administró sorafenib (Nexavar ®) 400 mg cada 12 horas, logrando una respuesta metabólica superior al 50% (evaluada por tomografía por emisión de positrones-PET/TAC-) y parcial siguiendo los criterios descritos por Choi y colaboradores. Durante el tratamiento de tercera línea, se efectuó una nueva biopsia del tumor, que demostró un genotipo complejo, incluyendo la mutación V600E del BRAF, y manteniendo el beneficio clínico con la intervención descrita hasta julio del 2011; en el momento, el paciente continúa vivo. A continuación, se plantea un análisis de los mecanismos moleculares que explican la resistencia a los inhibidores de tirosina-quinasa y las implicaciones sobre la terapéutica del GIST.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="9259a29ee4477d3123acb9f7c1230719" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":116000984,"asset_id":121020233,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/116000984/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="121020233"><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="121020233"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 121020233; 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$(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="121020232"><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/121020232/Imaging_manifestations_of_tropical_infectious_diseases_of_the_abdomen"><img alt="Research paper thumbnail of Imaging manifestations of tropical infectious diseases of the abdomen" 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/121020232/Imaging_manifestations_of_tropical_infectious_diseases_of_the_abdomen">Imaging manifestations of tropical infectious diseases of the abdomen</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Poster: &quot;ECR 2018 / C-2974 / Imaging manifestations of tropical infectious diseases of the a...</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">Poster: &quot;ECR 2018 / C-2974 / Imaging manifestations of tropical infectious diseases of the abdomen&quot; by: &quot;J. A. Abreu, M. D. Torres Guzman, D. Aguirre; Bogota/CO&quot;</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="121020232"><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="121020232"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 121020232; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=121020232]").text(description); $(".js-view-count[data-work-id=121020232]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 121020232; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='121020232']"); 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" } } $('.js-work-strip[data-work-id=121020232]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":121020232,"title":"Imaging manifestations of tropical infectious diseases of the abdomen","internal_url":"https://www.academia.edu/121020232/Imaging_manifestations_of_tropical_infectious_diseases_of_the_abdomen","owner_id":285439205,"coauthors_can_edit":true,"owner":{"id":285439205,"first_name":"Diego","middle_initials":null,"last_name":"Aguirre","page_name":"DiegoAguirre336","domain_name":"independent","created_at":"2023-09-25T19:00:49.685-07:00","display_name":"Diego Aguirre","url":"https://independent.academia.edu/DiegoAguirre336"},"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="121020229"><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/121020229/An%C3%A1lisis_de_algunos_factores_que_afectan_el_comportamiento_reproductivo_de_varias_razas_de_cerdos_en_una_piara_comercial_de_la_provincia_de_Heredia_Costa_Rica"><img alt="Research paper thumbnail of Análisis de algunos factores que afectan el comportamiento reproductivo de varias razas de cerdos en una piara comercial de la provincia de Heredia, Costa Rica" class="work-thumbnail" src="https://attachments.academia-assets.com/116001011/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/121020229/An%C3%A1lisis_de_algunos_factores_que_afectan_el_comportamiento_reproductivo_de_varias_razas_de_cerdos_en_una_piara_comercial_de_la_provincia_de_Heredia_Costa_Rica">Análisis de algunos factores que afectan el comportamiento reproductivo de varias razas de cerdos en una piara comercial de la provincia de Heredia, Costa Rica</a></div><div class="wp-workCard_item"><span>Uniciencia</span><span>, 2016</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Growth and reproductive records of a swine herd, located in the northern region of Heredia, were ...</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">Growth and reproductive records of a swine herd, located in the northern region of Heredia, were analyzed using least squares methodology in order to estimate the effect of some breed and non-genetical sources of variation. Breeds included in the analysis were Yorkshire, Landrace, Duroc and Hampshire. Crossbred sows were also considered. Studied traits were: litter size and weight at birth and at weaning, mortality from birth to weaning, lactation length, gestation length, rebreeding and farrowing interval. Dam´s breed significantly affected litter at birth meanwhile year of parturition and sire´s breed did not affect considered traits.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="1e72c6c84c0c576807bc6af220e8abc5" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":116001011,"asset_id":121020229,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/116001011/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="121020229"><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="121020229"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 121020229; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=121020229]").text(description); $(".js-view-count[data-work-id=121020229]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 121020229; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='121020229']"); 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: "1e72c6c84c0c576807bc6af220e8abc5" } } $('.js-work-strip[data-work-id=121020229]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":121020229,"title":"Análisis de algunos factores que afectan el comportamiento reproductivo de varias razas de cerdos en una piara comercial de la provincia de Heredia, Costa Rica","internal_url":"https://www.academia.edu/121020229/An%C3%A1lisis_de_algunos_factores_que_afectan_el_comportamiento_reproductivo_de_varias_razas_de_cerdos_en_una_piara_comercial_de_la_provincia_de_Heredia_Costa_Rica","owner_id":285439205,"coauthors_can_edit":true,"owner":{"id":285439205,"first_name":"Diego","middle_initials":null,"last_name":"Aguirre","page_name":"DiegoAguirre336","domain_name":"independent","created_at":"2023-09-25T19:00:49.685-07:00","display_name":"Diego Aguirre","url":"https://independent.academia.edu/DiegoAguirre336"},"attachments":[{"id":116001011,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/116001011/thumbnails/1.jpg","file_name":"5381397.pdf","download_url":"https://www.academia.edu/attachments/116001011/download_file","bulk_download_file_name":"Analisis_de_algunos_factores_que_afectan.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/116001011/5381397-libre.pdf?1718392637=\u0026response-content-disposition=attachment%3B+filename%3DAnalisis_de_algunos_factores_que_afectan.pdf\u0026Expires=1740238804\u0026Signature=A9iCvkabtY~~thsKcb~H4SxyPMkVCdBJfnIsKkJbg-m6Y-G3lqW-VQSP~rZbHWP1A7c1cqoWGMGk3F0Jv--HycSQI8ABXs1J2PYqJY713DpA9rwsIA0UrQ4q8i2TvdUrD3x3kwF5Yi7D26NbrIJfITGZ48~xDgWiaUinHed8TAGnb6P8FBQLGZ7mcoGyXrsE4UyeF3yyt7rcMiaWhsf7FcJSourpdEaJUvnAe5TV9dujz4iECAaESR2tzJjc3DIrYVO-NIPmQ5VK5lrAv~0bLaUeGbZGwK3HnV-cPt7Cv9XbF1n3Vzz0FnJrFh-7IA2GQl0eyQKlvUxptPhHQtwRtA__\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="121020228"><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/121020228/Automated_Evaluation_of_Short_Summaries"><img alt="Research paper thumbnail of Automated Evaluation of Short Summaries" class="work-thumbnail" src="https://attachments.academia-assets.com/116000983/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/121020228/Automated_Evaluation_of_Short_Summaries">Automated Evaluation of Short Summaries</a></div><div class="wp-workCard_item"><span>Int. J. Comput. Linguistics Appl.</span><span>, 2015</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Children in elementary school are not only taught to read, but to understand what they are readin...</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">Children in elementary school are not only taught to read, but to understand what they are reading. To assess and improve their ability to understand concepts, students are often required to write short summaries of articles. Due to their nature, these documents often include misspelled words, missing punctuation, and erroneous grammatical structure. Evaluating these summaries is a laborious task that not only demands a significant amount of time from professors, but also limits the speed in which students can receive feedback. This paper presents a method for evaluating short summaries written by elementary school students. Our experiments show that incorporating semantic similarity/relatedness measures between words benefits the tasks of attribute selection and attribute weighting. We also show that preprocessing steps, such as the correction of misspelled words, are beneficial for the evaluation of short summaries. Our automatic grader has a mean absolute error of 0.98 when compa...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="4b754c89779ce09efa70b22dcbc0f762" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":116000983,"asset_id":121020228,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/116000983/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="121020228"><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="121020228"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 121020228; 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$(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="121020227"><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/121020227/A_Novel_Set_Of_Weight_Initialization_Techniques_For_Deep_Learning_Architectures"><img alt="Research paper thumbnail of A Novel Set Of Weight Initialization Techniques For Deep Learning Architectures" class="work-thumbnail" src="https://attachments.academia-assets.com/116000981/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/121020227/A_Novel_Set_Of_Weight_Initialization_Techniques_For_Deep_Learning_Architectures">A Novel Set Of Weight Initialization Techniques For Deep Learning Architectures</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The importance of weight initialization when building a deep learning model is often underappreci...</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 importance of weight initialization when building a deep learning model is often underappreciated. Even though it is usually seen as a minor detail in the model creation cycle, this process has shown to have a strong impact on the training time of a network and the quality of the resulting model (68). In fact, the implications of choosing a poor initialization scheme range from leading to the creation of a poorly performing model to preventing optimization techniques (like stochastic gradient descent) from converging (26). In this work, we introduce and evaluate a set of novel weight initialization techniques for deep learning architectures. These techniques use an initialization data set (extracted from the training data set) to compute the initial values of a layer’s weights. They also use properties about the problem and network architecture to better select initial weight values. The first scheme in our set focuses on the initialization of dense and convolutional layers that...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="9516c176fc09b8af3b1281a4f7e90870" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":116000981,"asset_id":121020227,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/116000981/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="121020227"><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="121020227"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 121020227; 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$(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="121020226"><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/121020226/Smaller_Standard_Deviation_for_Initial_Weights_Improves_Performance_of_Classifying_Neural_Networks_A_Theoretical_Explanation_of_Unexpected_Simulation_Results"><img alt="Research paper thumbnail of Smaller Standard Deviation for Initial Weights Improves Performance of Classifying Neural Networks: A Theoretical Explanation of Unexpected Simulation Results" class="work-thumbnail" src="https://attachments.academia-assets.com/116001010/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/121020226/Smaller_Standard_Deviation_for_Initial_Weights_Improves_Performance_of_Classifying_Neural_Networks_A_Theoretical_Explanation_of_Unexpected_Simulation_Results">Smaller Standard Deviation for Initial Weights Improves Performance of Classifying Neural Networks: A Theoretical Explanation of Unexpected Simulation Results</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Numerical experiments show that for classifying neural networks, it is beneficial to select a sma...</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">Numerical experiments show that for classifying neural networks, it is beneficial to select a smaller deviation for initial weights that what is usually recommended. In this paper, we provide a theoretical explanation for these unexpected simulation results. 1 Formulation of the Problem Classifying neural networks: a brief reminder. In deep learning [2], a neural network that classifies into C classes works as follows: • Computations start with the values x1, . . . , xv describing the object that we need to classify. These values are the input signals for the first layer: si,1 = xi for i = 1, . . . , n0 def = v. • On each layer `, input signals s1,`, . . . , sn`−1,` to this layer get transformed into outputs si,`+1 = max n`−1 ∑ j=1 w (`) i,j · sj,` − w (`) i,0 , 0  ,</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="f9d36d8cf309f9086d0011044009b7b8" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":116001010,"asset_id":121020226,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/116001010/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="121020226"><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="121020226"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 121020226; 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$(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="121020225"><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/121020225/Efecto_de_la_fertilizaci%C3%B3n_nitrogenada_e_intervalos_de_corte_sobre_el_valor_nutritivo_potencial_del_pasto_King_grass_Pennisetum_purpureum_x_Pennisetum_typhoides_Durante_la_%C3%A9poca_lluviosa"><img alt="Research paper thumbnail of Efecto de la fertilización nitrogenada e intervalos de corte sobre el valor nutritivo potencial del pasto King grass. (Pennisetum purpureum x Pennisetum typhoides). Durante la época lluviosa" class="work-thumbnail" src="https://attachments.academia-assets.com/116001008/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/121020225/Efecto_de_la_fertilizaci%C3%B3n_nitrogenada_e_intervalos_de_corte_sobre_el_valor_nutritivo_potencial_del_pasto_King_grass_Pennisetum_purpureum_x_Pennisetum_typhoides_Durante_la_%C3%A9poca_lluviosa">Efecto de la fertilización nitrogenada e intervalos de corte sobre el valor nutritivo potencial del pasto King grass. (Pennisetum purpureum x Pennisetum typhoides). Durante la época lluviosa</a></div><div class="wp-workCard_item"><span>Uniciencia</span><span>, 2016</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Data from a experiment that utilized King Grass forage (Pennisetum purpureum x Pennisetum typhoid...</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">Data from a experiment that utilized King Grass forage (Pennisetum purpureum x Pennisetum typhoides) with four nitrogen fertilization levels (0, 100, 200 and 300 kg Ha -1 ) and five harvest intervals (35, 49, 63, 77 and 91 d) were analyzed by an analysis of variance under an split plot design. The study variables were dry matter production (DM kg Ha -1 harvest -1 ), crude protein production (CP kg Ha -1 harvest -1 ) and its CP% contents and in vitro dry matter digestibility (I.V.D.M.D). The research was done in National University, Santa Lucia Research Farms at Heredia, Costa Rica. The climatic characteristics during the research period were 19.7°C temperature and 2.000 mm rainfall mean. Dry matter production was increased by the nitrogen fertilization (P=&lt;0.05) CP production also was incremented by fertilization. However the I.V.D.M.D. was not affected by the fertilizer treatments. The harvest period did increase the DM production (P=&lt;0.05) and the CP production by cutting bu...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="5d100a277fb689737f1dd95b3e393b84" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":116001008,"asset_id":121020225,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/116001008/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="121020225"><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="121020225"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 121020225; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=121020225]").text(description); $(".js-view-count[data-work-id=121020225]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 121020225; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='121020225']"); 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: "5d100a277fb689737f1dd95b3e393b84" } } $('.js-work-strip[data-work-id=121020225]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":121020225,"title":"Efecto de la fertilización nitrogenada e intervalos de corte sobre el valor nutritivo potencial del pasto King grass. (Pennisetum purpureum x Pennisetum typhoides). Durante la época lluviosa","internal_url":"https://www.academia.edu/121020225/Efecto_de_la_fertilizaci%C3%B3n_nitrogenada_e_intervalos_de_corte_sobre_el_valor_nutritivo_potencial_del_pasto_King_grass_Pennisetum_purpureum_x_Pennisetum_typhoides_Durante_la_%C3%A9poca_lluviosa","owner_id":285439205,"coauthors_can_edit":true,"owner":{"id":285439205,"first_name":"Diego","middle_initials":null,"last_name":"Aguirre","page_name":"DiegoAguirre336","domain_name":"independent","created_at":"2023-09-25T19:00:49.685-07:00","display_name":"Diego Aguirre","url":"https://independent.academia.edu/DiegoAguirre336"},"attachments":[{"id":116001008,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/116001008/thumbnails/1.jpg","file_name":"5238.pdf","download_url":"https://www.academia.edu/attachments/116001008/download_file","bulk_download_file_name":"Efecto_de_la_fertilizacion_nitrogenada_e.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/116001008/5238-libre.pdf?1718392636=\u0026response-content-disposition=attachment%3B+filename%3DEfecto_de_la_fertilizacion_nitrogenada_e.pdf\u0026Expires=1740238804\u0026Signature=ZIVQ6mGhfR25OwN-Sf4KXEsI2AUn1Bi3AfpgAt5Gp22BiyiUsW-y-cYSJ8oU96FOH2hhac1sCNjT2D4pw8rvVShwSoV4aQxsn0GYmtuK9E2QeIBEvSZoNmPq-TdxSwfpb5eaOlRmMLqdqY8WKknM0fOPpRot8XMpMqlQBr1QhoB0kToDRUjXQUi8hQEwnXaXAS6ZjmsNDVF3LHod~cOxg8lboJ0IPBW2xUm7YlCv65nhfufgmfKj6pWTX1cO1u7FRGiahe6g3x7UI63eDA6PISD5jKwVJVivKegqtFJbaQGmmKyLEZd6LyjxxLEkxa~fpNfzlxD1aQ4l9atjiz0Ung__\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="121020224"><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/121020224/Tracking_Dynamic_Properties_of_Civil_Structures_while_Subjected_to_Seismic_Excitations"><img alt="Research paper thumbnail of Tracking Dynamic Properties of Civil Structures while Subjected to Seismic Excitations" class="work-thumbnail" src="https://attachments.academia-assets.com/116000977/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/121020224/Tracking_Dynamic_Properties_of_Civil_Structures_while_Subjected_to_Seismic_Excitations">Tracking Dynamic Properties of Civil Structures while Subjected to Seismic Excitations</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">This article examines the variations of natural frequencies, equivalent damping ratios and the hi...</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">This article examines the variations of natural frequencies, equivalent damping ratios and the high frequency component of the response as damage indicators in reinforced concrete structures subjected to seismic excitations. Experimental and simulated data from a shake table test of a real scale reinforced concrete column subjected to a sequential load protocol of increased intensity is used for this purpose. Conventional methodologies that operate on the free decay and white noise excitation responses are engaged to estimate natural frequencies and damping ratios before and after each earthquake load. Model-free output-only methodologies based on the Continuous Wavelet Transform (CWT) and Fast Wavelet Transform (FWT) of the registered accelerations are used to track frequency shifts and detect anomalies in the high frequency component of the response, respectively. It was found that the frequency shifts identified in the CWT analyses could be partially related to severe inelastic e...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="1b9f435a667bfdae10d23a0ed07f4590" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":116000977,"asset_id":121020224,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/116000977/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="121020224"><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="121020224"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 121020224; 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$(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="121020223"><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/121020223/Developing_Distributed_Collaborative_Applications_with_HTML5_under_the_Coupled_Objects_Paradigm"><img alt="Research paper thumbnail of Developing Distributed Collaborative Applications with HTML5 under the Coupled Objects Paradigm" class="work-thumbnail" src="https://attachments.academia-assets.com/116001009/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/121020223/Developing_Distributed_Collaborative_Applications_with_HTML5_under_the_Coupled_Objects_Paradigm">Developing Distributed Collaborative Applications with HTML5 under the Coupled Objects Paradigm</a></div><div class="wp-workCard_item"><span>Journal of Universal Computer Science</span><span>, 2014</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">One of the main tasks in developing distributed collaborative systems is to support synchronizati...</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">One of the main tasks in developing distributed collaborative systems is to support synchronization processes. The Coupled Objects paradigm has emerged as a way to easily support these processes by dynamically coupling arbitrary user interface objects between heterogeneous applications. In this article we present an architecture for developing distributed collaborative applications using HTML5 and show its usage through the design and implementation of a series of collaborative systems in different scenarios. The experience of developing and using this architecture has shown that it is easy to use, robust and has good performance.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="b83fdb48c31434009aa3b1624b73b651" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":116001009,"asset_id":121020223,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/116001009/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="121020223"><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="121020223"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 121020223; 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$(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="121020222"><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/121020222/Improving_Weight_Initialization_of_ReLU_and_Output_Layers"><img alt="Research paper thumbnail of Improving Weight Initialization of ReLU and Output Layers" 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/121020222/Improving_Weight_Initialization_of_ReLU_and_Output_Layers">Improving Weight Initialization of ReLU and Output Layers</a></div><div class="wp-workCard_item"><span>Lecture Notes in Computer Science</span><span>, 2019</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">We introduce a data-dependent weight initialization scheme for ReLU and output layers commonly fo...</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 introduce a data-dependent weight initialization scheme for ReLU and output layers commonly found in modern neural network architectures. An initial feedforward pass through the network is performed using an initialization set (a subset of the training data set). Using statistics obtained from this pass, we initialize the weights of the network, so the following properties are met: (1) weight matrices are orthogonal; (2) ReLU layers produce a predetermined fraction of non-zero activations; (3) the outputs produced by internal layers have a predetermined variance; (4) weights in the last layer are chosen to minimize the squared error in the initialization set. We evaluate our method on popular architectures (VGG16, VGG19, and InceptionV3) and faster convergence rates are achieved on the ImageNet data set when compared to state-of-the-art initialization techniques (LSUV, He, and Glorot).</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="121020222"><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="121020222"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 121020222; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=121020222]").text(description); $(".js-view-count[data-work-id=121020222]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 121020222; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='121020222']"); 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" } } $('.js-work-strip[data-work-id=121020222]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":121020222,"title":"Improving Weight Initialization of ReLU and Output Layers","internal_url":"https://www.academia.edu/121020222/Improving_Weight_Initialization_of_ReLU_and_Output_Layers","owner_id":285439205,"coauthors_can_edit":true,"owner":{"id":285439205,"first_name":"Diego","middle_initials":null,"last_name":"Aguirre","page_name":"DiegoAguirre336","domain_name":"independent","created_at":"2023-09-25T19:00:49.685-07:00","display_name":"Diego Aguirre","url":"https://independent.academia.edu/DiegoAguirre336"},"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="121020221"><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/121020221/Imaging_of_hepatocellular_carcinoma_a_pilot_international_survey"><img alt="Research paper thumbnail of Imaging of hepatocellular carcinoma: a pilot international survey" class="work-thumbnail" src="https://attachments.academia-assets.com/116001007/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/121020221/Imaging_of_hepatocellular_carcinoma_a_pilot_international_survey">Imaging of hepatocellular carcinoma: a pilot international survey</a></div><div class="wp-workCard_item"><span>Abdominal Radiology</span><span>, 2020</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Purpose To perform an international survey on current practices in imaging-based surveillance, di...</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">Purpose To perform an international survey on current practices in imaging-based surveillance, diagnosis, staging, and assessment of treatment response for HCC. Materials and methods Three themes were covered in this international survey: demographics of respondents and liver imaging expertise; imaging practices for screening, surveillance, diagnosis, staging, and assessment of treatment response for HCC; and diagnostic imaging systems used. Descriptive summaries were created.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="62225abb90a559a8ab214b173c1a76f0" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":116001007,"asset_id":121020221,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/116001007/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="121020221"><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="121020221"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 121020221; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=121020221]").text(description); $(".js-view-count[data-work-id=121020221]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 121020221; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='121020221']"); 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: "62225abb90a559a8ab214b173c1a76f0" } } $('.js-work-strip[data-work-id=121020221]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":121020221,"title":"Imaging of hepatocellular carcinoma: a pilot international survey","internal_url":"https://www.academia.edu/121020221/Imaging_of_hepatocellular_carcinoma_a_pilot_international_survey","owner_id":285439205,"coauthors_can_edit":true,"owner":{"id":285439205,"first_name":"Diego","middle_initials":null,"last_name":"Aguirre","page_name":"DiegoAguirre336","domain_name":"independent","created_at":"2023-09-25T19:00:49.685-07:00","display_name":"Diego Aguirre","url":"https://independent.academia.edu/DiegoAguirre336"},"attachments":[{"id":116001007,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/116001007/thumbnails/1.jpg","file_name":"s00261-020-02598-020240614-1-wvcuv7.pdf","download_url":"https://www.academia.edu/attachments/116001007/download_file","bulk_download_file_name":"Imaging_of_hepatocellular_carcinoma_a_pi.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/116001007/s00261-020-02598-020240614-1-wvcuv7-libre.pdf?1718392641=\u0026response-content-disposition=attachment%3B+filename%3DImaging_of_hepatocellular_carcinoma_a_pi.pdf\u0026Expires=1740238804\u0026Signature=LOhfAiDyaIlq8fdJzyicEdABvjklvSVwbJf6qQwE9DTKeDChwgnxRQvBjzWNS-H-bZNlJ0T8vLLtj7I7A-5G2vrDI4AYVaejI7LRDeRXDvniWrMFaPIQMgYF1eLUHVvIyePEN7xAzo6ad1hfVA5-AOdmrWwNHFJMKd7BjphGI0hO0QrBiSzZHFPDonKNB6DIP~eNgB9aOT2lFv2SowuoLc7AEMAx5v1pOrbk7ECRN96r8VWP1gtsrPUXjxGIWkfpwcHFT2hQfGCWJzAbptwZ4yWWb-I8eFLSObhE9P4scWgPybprPyuMx55HWVVO-p0F7q~hPS7OVmSc0qAf3bk70A__\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="121020219"><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/121020219/Diagnostic_Accuracy_of_Multiparametric_Magnetic_Resonance_Imaging_to_Identify_Clear_Cell_Renal_Cell_Carcinoma_in_cT1a_Renal_Masses"><img alt="Research paper thumbnail of Diagnostic Accuracy of Multiparametric Magnetic Resonance Imaging to Identify Clear Cell Renal Cell Carcinoma in cT1a Renal Masses" class="work-thumbnail" src="https://attachments.academia-assets.com/116001002/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/121020219/Diagnostic_Accuracy_of_Multiparametric_Magnetic_Resonance_Imaging_to_Identify_Clear_Cell_Renal_Cell_Carcinoma_in_cT1a_Renal_Masses">Diagnostic Accuracy of Multiparametric Magnetic Resonance Imaging to Identify Clear Cell Renal Cell Carcinoma in cT1a Renal Masses</a></div><div class="wp-workCard_item"><span>The Journal of urology</span><span>, Jan 27, 2017</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Detection of small renal masses is increasing with the use of cross-sectional imaging, although 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">Detection of small renal masses is increasing with the use of cross-sectional imaging, although many incidental lesions have negligible metastatic potential. Among malignant masses, clear cell renal cell carcinoma is the most prevalent and aggressive subtype, and a method to identify such histology would aid in risk stratification. Our goal was to evaluate a likelihood scale for multiparametric magnetic resonance imaging in the diagnosis of clear cell histology. Patients with cT1a masses who underwent MRI and partial or radical nephrectomy from December 2011 to July 2015 were retrospectively reviewed. Seven radiologists with different levels of experience and blinded to final pathology independently reviewed studies based on a predefined algorithm, and applied a clear cell likelihood score: 1) definitely not, 2) probably not, 3) equivocal, 4) probably, and 5) definitely. Binary classification determined the accuracy of clear cell versus &#39;all other&#39; histologies, and inter-obs...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="e8361755e164e7de57ef10aa53ca190d" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":116001002,"asset_id":121020219,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/116001002/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="121020219"><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="121020219"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 121020219; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=121020219]").text(description); $(".js-view-count[data-work-id=121020219]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 121020219; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='121020219']"); 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: "e8361755e164e7de57ef10aa53ca190d" } } $('.js-work-strip[data-work-id=121020219]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":121020219,"title":"Diagnostic Accuracy of Multiparametric Magnetic Resonance Imaging to Identify Clear Cell Renal Cell Carcinoma in cT1a Renal Masses","internal_url":"https://www.academia.edu/121020219/Diagnostic_Accuracy_of_Multiparametric_Magnetic_Resonance_Imaging_to_Identify_Clear_Cell_Renal_Cell_Carcinoma_in_cT1a_Renal_Masses","owner_id":285439205,"coauthors_can_edit":true,"owner":{"id":285439205,"first_name":"Diego","middle_initials":null,"last_name":"Aguirre","page_name":"DiegoAguirre336","domain_name":"independent","created_at":"2023-09-25T19:00:49.685-07:00","display_name":"Diego Aguirre","url":"https://independent.academia.edu/DiegoAguirre336"},"attachments":[{"id":116001002,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/116001002/thumbnails/1.jpg","file_name":"diagnostic_accuracy_of_multiparametric_magnetic_resonance_imaging_to_identify.pdf","download_url":"https://www.academia.edu/attachments/116001002/download_file","bulk_download_file_name":"Diagnostic_Accuracy_of_Multiparametric_M.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/116001002/diagnostic_accuracy_of_multiparametric_magnetic_resonance_imaging_to_identify-libre.pdf?1718392664=\u0026response-content-disposition=attachment%3B+filename%3DDiagnostic_Accuracy_of_Multiparametric_M.pdf\u0026Expires=1740238804\u0026Signature=Zu3ke6RBoAlqYaz24uPsBzu4L1MWyRQSCNak7pD7t41CZv6vB~lPkqyHkQ1OE6DS1Dt3cAmiFgnM1dSdOCFv6WSt7fuFeeAfdjrh-7mCTQMfNBVL3a~3A6182Yg-l9hniPzUt65pdSFt2CwVHmxUnbfgII~tfHpxCuq0O8s4nxeBUUaFDYRgjNr4P2mH1VZweNTARyRY0Mf5MrxySedZLZjMFsX8tl19XpdBjasxc6~7dLDNb~7l5E62SOVBOMek3F4FFTDikG0WPHkXpM4y8xbdsFWWd8wPq7k049RkLdzew7lVm4gwpBmQEg3Vn~xOAO8dAaWJRIxrv0VUT6TjZg__\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="121020218"><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/121020218/On_the_use_of_numerical_models_for_validation_of_high_frequency_based_damage_detection_methodologies"><img alt="Research paper thumbnail of On the use of numerical models for validation of high frequency based damage detection methodologies" class="work-thumbnail" src="https://attachments.academia-assets.com/116001000/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/121020218/On_the_use_of_numerical_models_for_validation_of_high_frequency_based_damage_detection_methodologies">On the use of numerical models for validation of high frequency based damage detection methodologies</a></div><div class="wp-workCard_item"><span>Structural Monitoring and Maintenance</span><span>, 2015</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">This article identifies and addresses current limitations on the use of numerical models for vali...</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">This article identifies and addresses current limitations on the use of numerical models for validation and/or calibration of damage detection methodologies that are based on the analysis of the high frequency response of the structure to identify the occurrence of abrupt anomalies. Distributed-plasticity non-linear fiber-based models in combination with experimental data from a full-scale reinforced concrete column test are used to point out current modeling techniques limitations. It was found that the numerical model was capable of reproducing the global and local response of the structure at a wide range of inelastic demands, including the occurrences of rebar ruptures. However, when abrupt sudden damage occurs, like rebar fracture, a high frequency pulse is detected in the accelerations recorded in the structure that the numerical model is incapable of reproducing. Since the occurrence of such pulse is fundamental on the detection of damage, it is proposed to add this effect to the simulated response before it is used for validation purposes.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="8dcfa19d617c79d33d727d5b54676aaa" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":116001000,"asset_id":121020218,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/116001000/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="121020218"><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="121020218"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 121020218; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=121020218]").text(description); $(".js-view-count[data-work-id=121020218]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 121020218; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='121020218']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); 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window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=121020217]").text(description); $(".js-view-count[data-work-id=121020217]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 121020217; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='121020217']"); 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: "2c3965337f613d03d0934cb861adc708" } } $('.js-work-strip[data-work-id=121020217]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":121020217,"title":"Coordinación de protectores de la fábrica Cartopel","internal_url":"https://www.academia.edu/121020217/Coordinaci%C3%B3n_de_protectores_de_la_f%C3%A1brica_Cartopel","owner_id":285439205,"coauthors_can_edit":true,"owner":{"id":285439205,"first_name":"Diego","middle_initials":null,"last_name":"Aguirre","page_name":"DiegoAguirre336","domain_name":"independent","created_at":"2023-09-25T19:00:49.685-07:00","display_name":"Diego Aguirre","url":"https://independent.academia.edu/DiegoAguirre336"},"attachments":[{"id":116000972,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/116000972/thumbnails/1.jpg","file_name":"nodisponible.pdf","download_url":"https://www.academia.edu/attachments/116000972/download_file","bulk_download_file_name":"Coordinacion_de_protectores_de_la_fabric.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/116000972/nodisponible-libre.pdf?1718392644=\u0026response-content-disposition=attachment%3B+filename%3DCoordinacion_de_protectores_de_la_fabric.pdf\u0026Expires=1740238804\u0026Signature=MifAnAI8bkJqVuKIk0bVCGPVtdCpT1tCv7DF5MKnuM7PLdvEwY2e4-1VtDXHV1nFTYiIzUN1HKbZh~9eufIgNojgz2yd2AYakisXOk2JBqvjus4dFLDCd1sig-ATVs~YReLRpVhdX1Yr0jGW0s8pgPyGxnEkHugabsMJ~-lvqICbf~rU26~3mLaEJw~nVxzQgOFLWGWb8jmm5et84ALahcH0FDvWZfJRmXy5aTomXRGk-B2rRHCsYdFIQqrUQXmFmTfu9Yr2SE-IGJPo3MD2silykMm1cORTg3eE-JQNqlBpFkF1yZ7XRBuH3mE7hKOXAkjMlV4Db0buMEMN63cI1w__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"},{"id":116000973,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/116000973/thumbnails/1.jpg","file_name":"nodisponible.pdf","download_url":"https://www.academia.edu/attachments/116000973/download_file","bulk_download_file_name":"Coordinacion_de_protectores_de_la_fabric.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/116000973/nodisponible-libre.pdf?1718392643=\u0026response-content-disposition=attachment%3B+filename%3DCoordinacion_de_protectores_de_la_fabric.pdf\u0026Expires=1740238804\u0026Signature=A9q9d3Y1BMj-BTAf1w1XUtwWmaUbfpq~Cmw9qre9B7DkeOInB0mj1AXm13RE7fJteyFTSUY4eID0BDzAysS-FLmDvXD2G3T-SfMcrN2pwelM6gik5IyoZ44kbPHJIb03~GcvgFTiHm9UezptYHWodcTbb2onow4G2pJ0ZEBx-TvURfZcoOJXkh8GGfj-BB~XBZHZ5CLhERAx-qLQO5Oe-IVX1zplIejxeVIA63HtZuwuAzocP9V8jr35gf2W7ULK2gcOw6gLdZramnVD19ptupmSRH2Np8~TPUwCICRdE7hppe0WjktiFtTJtvjgremeNuTCO9z7NJ1hGbkvn5z9iA__\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="121020216"><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/121020216/Evaluation_of_Three_Pneumothorax_Size_Quantification_Methods_on_Digitized_Chest_X_ray_Films_Using_Medical_Grade_Grayscale_and_Consumer_Grade_Color_Displays"><img alt="Research paper thumbnail of Evaluation of Three Pneumothorax Size Quantification Methods on Digitized Chest X-ray Films Using Medical-Grade Grayscale and Consumer-Grade Color Displays" class="work-thumbnail" src="https://attachments.academia-assets.com/116001001/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/121020216/Evaluation_of_Three_Pneumothorax_Size_Quantification_Methods_on_Digitized_Chest_X_ray_Films_Using_Medical_Grade_Grayscale_and_Consumer_Grade_Color_Displays">Evaluation of Three Pneumothorax Size Quantification Methods on Digitized Chest X-ray Films Using Medical-Grade Grayscale and Consumer-Grade Color Displays</a></div><div class="wp-workCard_item"><span>Journal of Digital Imaging</span><span>, 2013</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">This study focused on the effects of pneumothorax size quantification in digital radiology enviro...</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">This study focused on the effects of pneumothorax size quantification in digital radiology environments when a quantification method is selected according to the radiologist's criteria. The objective of this study was to assess the effects of factors, including the radiologist (with different experience), displays (medical-grade and consumer-grade displays), or display calibration, on the Rhea, Collins, and Light quantification methods. This study used a factorial design with 76 cases, including 16 pneumothorax cases observed by six radiologists on three displays with and without the DICOM standard calibration. The gold standard was established by two radiologists by using computed tomography. Analysis of variance (ANOVA) was performed on the pneumothorax sizes. For the three quantifications methods, none of the evaluated factors were significant. We conclude that radiologists, displays, and calibration do not significantly affect the quantification of pneumothorax size in different digital radiology environments.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="e05fc9e25c009ad542a7b445b7ea3cf9" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":116001001,"asset_id":121020216,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/116001001/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="121020216"><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="121020216"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 121020216; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=121020216]").text(description); $(".js-view-count[data-work-id=121020216]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 121020216; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='121020216']"); 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: "e05fc9e25c009ad542a7b445b7ea3cf9" } } $('.js-work-strip[data-work-id=121020216]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":121020216,"title":"Evaluation of Three Pneumothorax Size Quantification Methods on Digitized Chest X-ray Films Using Medical-Grade Grayscale and Consumer-Grade Color Displays","internal_url":"https://www.academia.edu/121020216/Evaluation_of_Three_Pneumothorax_Size_Quantification_Methods_on_Digitized_Chest_X_ray_Films_Using_Medical_Grade_Grayscale_and_Consumer_Grade_Color_Displays","owner_id":285439205,"coauthors_can_edit":true,"owner":{"id":285439205,"first_name":"Diego","middle_initials":null,"last_name":"Aguirre","page_name":"DiegoAguirre336","domain_name":"independent","created_at":"2023-09-25T19:00:49.685-07:00","display_name":"Diego Aguirre","url":"https://independent.academia.edu/DiegoAguirre336"},"attachments":[{"id":116001001,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/116001001/thumbnails/1.jpg","file_name":"pmc3948932.pdf","download_url":"https://www.academia.edu/attachments/116001001/download_file","bulk_download_file_name":"Evaluation_of_Three_Pneumothorax_Size_Qu.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/116001001/pmc3948932-libre.pdf?1718392641=\u0026response-content-disposition=attachment%3B+filename%3DEvaluation_of_Three_Pneumothorax_Size_Qu.pdf\u0026Expires=1740238804\u0026Signature=Xh87v6rY4TtpK3fLPIe8uySXCiJKaA2zR5SQ-m1s7vIGHSLImxOHMh0rBumvB4fDWqphqXIQx-a2Mjn1PcGhz1KAqwAx0ZtOAE6BvuLs~hb9Stl9LJnOlZg0oBz0eUz~G1e4RKvSHKtUuMg2DLeajyCuF0xAbKVM8JxzNRGbUeknZSyvNMA~FUPVkeHjIiyHnuLXLcQ7BeZLwbflqg6H8f8boZoaSHL8wqVMIb-H1zNfpQAX05KyOkaZvluADxfIiefuEMGP-ba9SPGARFrU1UuA3Bl5RzBo-po5GWoZ1aGlsIWEOmmBkj~qB2FQL0Knz~d8jovPfZ8eMbcDVGDigw__\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="121020215"><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/121020215/Comparison_between_Different_Cost_Devices_for_Digital_Capture_of_X_ray_Films_An_Image_Characteristics_Detection_Approach"><img alt="Research paper thumbnail of Comparison between Different Cost Devices for Digital Capture of X-ray Films: An Image Characteristics Detection Approach" class="work-thumbnail" src="https://attachments.academia-assets.com/116000998/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/121020215/Comparison_between_Different_Cost_Devices_for_Digital_Capture_of_X_ray_Films_An_Image_Characteristics_Detection_Approach">Comparison between Different Cost Devices for Digital Capture of X-ray Films: An Image Characteristics Detection Approach</a></div><div class="wp-workCard_item"><span>Journal of Digital Imaging</span><span>, 2011</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">A common teleradiology practice is digitizing films. The costs of specialized digitizers are very...</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">A common teleradiology practice is digitizing films. The costs of specialized digitizers are very high, that is why there is a trend to use conventional scanners and digital cameras. Statistical clinical studies are required to determine the accuracy of these devices, which are very difficult to carry out. The purpose of this study was to compare three capture devices in terms of their capacity to detect several image characteristics. Spatial resolution, contrast, gray levels, and geometric deformation were compared for a specialized digitizer ICR (US$ 15,000), a conventional scanner UMAX (US$ 1,800), and a digital camera LUMIX (US$ 450, but require an additional support system and a light box for about US$ 400). Test patterns printed in films were used. The results detected gray levels lower than real values for all three devices; acceptable contrast and low geometric deformation with three devices. All three devices are appropriate solutions, but a digital camera requires more operator training and more settings.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="225fe2a619dcc306befb97982166a027" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":116000998,"asset_id":121020215,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/116000998/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="121020215"><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="121020215"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 121020215; 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