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Mongolia (Archaeology)","url":"https://www.academia.edu/Documents/in/Bronze_Age_Mongolia_Archaeology_"}]} ); if ($a.is_logged_in() && $viewedUser.is_current_user()) { $('body').addClass('profile-viewed-by-owner'); } $socialProfiles = []</script><div id="js-react-on-rails-context" style="display:none" data-rails-context="{"inMailer":false,"i18nLocale":"en","i18nDefaultLocale":"en","href":"https://indiana.academia.edu/JamesGlazier","location":"/JamesGlazier","scheme":"https","host":"indiana.academia.edu","port":null,"pathname":"/JamesGlazier","search":null,"httpAcceptLanguage":null,"serverSide":false}"></div> <div class="js-react-on-rails-component" style="display:none" data-component-name="ProfileCheckPaperUpdate" data-props="{}" data-trace="false" data-dom-id="ProfileCheckPaperUpdate-react-component-df2ee6fe-9164-4969-a4c3-1adeffc40dcd"></div> <div id="ProfileCheckPaperUpdate-react-component-df2ee6fe-9164-4969-a4c3-1adeffc40dcd"></div> <div class="DesignSystem"><div class="onsite-ping" id="onsite-ping"></div></div><div class="profile-user-info DesignSystem"><div class="social-profile-container"><div class="left-panel-container"><div class="user-info-component-wrapper"><div class="user-summary-cta-container"><div class="user-summary-container"><div class="social-profile-avatar-container"><img class="profile-avatar u-positionAbsolute" alt="James Glazier" border="0" onerror="if (this.src != '//a.academia-assets.com/images/s200_no_pic.png') this.src = '//a.academia-assets.com/images/s200_no_pic.png';" width="200" height="200" src="https://0.academia-photos.com/1776753/608490/755868/s200_james.glazier.jpg" /></div><div class="title-container"><h1 class="ds2-5-heading-sans-serif-sm">James Glazier</h1><div class="affiliations-container fake-truncate js-profile-affiliations"><div><a class="u-tcGrayDarker" href="https://indiana.academia.edu/">Indiana University</a>, <a class="u-tcGrayDarker" 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class="ds2-5-heading-sans-serif-xs">Uploads</h2></div><div class="documents-container backbone-social-profile-documents" style="width: 100%;"><div class="u-taCenter"></div><div class="profile--tab_content_container js-tab-pane tab-pane active" id="all"><div class="profile--tab_heading_container js-section-heading" data-section="Papers" id="Papers"><h3 class="profile--tab_heading_container">Papers by James Glazier</h3></div><div class="js-work-strip profile--work_container" data-work-id="102464930"><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/102464930/Model_of_Convergent_Extension_in_Animal_Morphogenesis"><img alt="Research paper thumbnail of Model of Convergent Extension in Animal Morphogenesis" class="work-thumbnail" src="https://attachments.academia-assets.com/102728433/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/102464930/Model_of_Convergent_Extension_in_Animal_Morphogenesis">Model of Convergent Extension in Animal Morphogenesis</a></div><div class="wp-workCard_item"><span>Physical Review Letters</span><span>, 2000</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="d5bf2e0df4cccc9754a0f86ecc8dcfe4" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":102728433,"asset_id":102464930,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/102728433/download_file?st=MTczMjQ4MDM5Myw4LjIyMi4yMDguMTQ2&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" 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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="102464929"><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/102464929/Stochastic_simulation_of_benign_avascular_tumour_growth_using_the_Potts_model"><img alt="Research paper thumbnail of Stochastic simulation of benign avascular tumour growth using the Potts model" 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/102464929/Stochastic_simulation_of_benign_avascular_tumour_growth_using_the_Potts_model">Stochastic simulation of benign avascular tumour growth using the Potts model</a></div><div class="wp-workCard_item"><span>Mathematical and Computer Modelling</span><span>, 1999</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The simulated tumour initially grows exponentially, then forms three concentric shells as the nut...</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 simulated tumour initially grows exponentially, then forms three concentric shells as the nutrient level supplied to the core by diffusion decreases: the outer shell consists of live proliferating cells, the middle of quiescent cells and the centre is a necrotic core, where the nutrient ...</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="102464929"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="102464929"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 102464929; 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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="100112656"><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/100112656/Building_digital_twins_of_the_human_immune_system_toward_a_roadmap"><img alt="Research paper thumbnail of Building digital twins of the human immune system: toward a roadmap" class="work-thumbnail" src="https://attachments.academia-assets.com/101023127/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/100112656/Building_digital_twins_of_the_human_immune_system_toward_a_roadmap">Building digital twins of the human immune system: toward a roadmap</a></div><div class="wp-workCard_item"><span>npj Digital Medicine</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Digital twins, customized simulation models pioneered in industry, are beginning to be deployed i...</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">Digital twins, customized simulation models pioneered in industry, are beginning to be deployed in medicine and healthcare, with some major successes, for instance in cardiovascular diagnostics and in insulin pump control. Personalized computational models are also assisting in applications ranging from drug development to treatment optimization. More advanced medical digital twins will be essential to making precision medicine a reality. Because the immune system plays an important role in such a wide range of diseases and health conditions, from fighting pathogens to autoimmune disorders, digital twins of the immune system will have an especially high impact. However, their development presents major challenges, stemming from the inherent complexity of the immune system and the difficulty of measuring many aspects of a patient’s immune state in vivo. This perspective outlines a roadmap for meeting these challenges and building a prototype of an immune digital twin. It is structure...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="fc5d5787b24e04e87a6c6349a5083fdc" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":101023127,"asset_id":100112656,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/101023127/download_file?st=MTczMjQ4MDM5Myw4LjIyMi4yMDguMTQ2&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="100112656"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="100112656"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 100112656; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=100112656]").text(description); $(".js-view-count[data-work-id=100112656]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 100112656; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='100112656']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 100112656, container: "", }); });</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-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.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: "fc5d5787b24e04e87a6c6349a5083fdc" } } $('.js-work-strip[data-work-id=100112656]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":100112656,"title":"Building digital twins of the human immune system: toward a roadmap","translated_title":"","metadata":{"abstract":"Digital twins, customized simulation models pioneered in industry, are beginning to be deployed in medicine and healthcare, with some major successes, for instance in cardiovascular diagnostics and in insulin pump control. 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="100112655"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/100112655/1_Organogenesis_and_Tissue_Mechanics"><img alt="Research paper thumbnail of 1 Organogenesis and Tissue Mechanics" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/100112655/1_Organogenesis_and_Tissue_Mechanics">1 Organogenesis and Tissue Mechanics</a></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="100112655"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="100112655"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 100112655; 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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="100112654"><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/100112654/Energy_landscape_of_2D_uid_foams"><img alt="Research paper thumbnail of Energy landscape of 2D uid foams" class="work-thumbnail" src="https://attachments.academia-assets.com/101023125/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/100112654/Energy_landscape_of_2D_uid_foams">Energy landscape of 2D uid foams</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">We study the equilibrium energies of 2D non-coarsening uid foams which consist of bubbles with xe...</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 study the equilibrium energies of 2D non-coarsening uid foams which consist of bubbles with xed areas. The equilibrium states correspond to local minima of the total perimeter. (i) We nd an approximate value of the global minimum perimeter, and a marker to determine directly from an image how far a foam is from its ground state. (ii) For (small) area disorder, small bubbles tend to sort inwards and large bubbles sort outwards. (iii) Topological charges of the same signs `repel&#39; while charges of the opposite signs `attract&#39;. (iv) We also discuss : boundary conditions; uniqueness of pattern when topology is prescribed; extensions to 3D.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="4078fe57a73b58787bf9c9df21a862d1" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":101023125,"asset_id":100112654,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/101023125/download_file?st=MTczMjQ4MDM5Myw4LjIyMi4yMDguMTQ2&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="100112654"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="100112654"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 100112654; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=100112654]").text(description); $(".js-view-count[data-work-id=100112654]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 100112654; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='100112654']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 100112654, container: "", }); });</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-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.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: "4078fe57a73b58787bf9c9df21a862d1" } } $('.js-work-strip[data-work-id=100112654]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":100112654,"title":"Energy landscape of 2D uid foams","translated_title":"","metadata":{"abstract":"We study the equilibrium energies of 2D non-coarsening uid foams which consist of bubbles with xed areas. 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Modeling Of Early Stage Chick Limb Development</a></div><div class="wp-workCard_item"><span>Microscopy and Microanalysis</span><span>, 2013</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Extended abstract of a paper presented at Microscopy and Microanalysis 2013 in Indianapolis, Indi...</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">Extended abstract of a paper presented at Microscopy and Microanalysis 2013 in Indianapolis, Indiana, USA, August 4 – August 8, 2013.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="6a1a7eac2e7e0acaad3907daf84f8ffc" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" 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data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/100112651/High_Rayleigh_Number_Turbulence_of_a_Low_Prandtl_Number_Fluid"><img alt="Research paper thumbnail of High Rayleigh Number Turbulence of a Low Prandtl Number Fluid" 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/100112651/High_Rayleigh_Number_Turbulence_of_a_Low_Prandtl_Number_Fluid">High Rayleigh Number Turbulence of a Low Prandtl Number Fluid</a></div><div class="wp-workCard_item"><span>Flow at Ultra-High Reynolds and Rayleigh Numbers</span><span>, 1998</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">We have studied the scaling properties of thermal turbulence in a low Prandtl number, Pr, fluid u...</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 have studied the scaling properties of thermal turbulence in a low Prandtl number, Pr, fluid using liquid Hg (Pr = 0.024). The length scale of thermal and viscous boundary layers are analyzed from time series of movable thermistors near the boundary. It revealed that the thermal and viscous layer had crossed over the observed range of Rayleigh numbers (106 &lt; Ra &lt; 108). The frequency spectrum of the temperature fluctuations and the scaling of the cutoff frequency differed from those of He. The cascade range was smaller than expected. Characters of high Rayleigh number flow of a low Prandtl number fluid is discussed.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="100112651"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="100112651"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 100112651; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=100112651]").text(description); $(".js-view-count[data-work-id=100112651]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 100112651; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='100112651']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 100112651, container: "", }); });</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-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.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" } } $('.js-work-strip[data-work-id=100112651]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":100112651,"title":"High Rayleigh Number Turbulence of a Low Prandtl Number Fluid","translated_title":"","metadata":{"abstract":"We have studied the scaling properties of thermal turbulence in a low Prandtl number, Pr, fluid using liquid Hg (Pr = 0.024). The length scale of thermal and viscous boundary layers are analyzed from time series of movable thermistors near the boundary. It revealed that the thermal and viscous layer had crossed over the observed range of Rayleigh numbers (106 \u0026lt; Ra \u0026lt; 108). The frequency spectrum of the temperature fluctuations and the scaling of the cutoff frequency differed from those of He. The cascade range was smaller than expected. Characters of high Rayleigh number flow of a low Prandtl number fluid is discussed.","publisher":"Springer, New York, NY","publication_date":{"day":null,"month":null,"year":1998,"errors":{}},"publication_name":"Flow at Ultra-High Reynolds and Rayleigh Numbers"},"translated_abstract":"We have studied the scaling properties of thermal turbulence in a low Prandtl number, Pr, fluid using liquid Hg (Pr = 0.024). The length scale of thermal and viscous boundary layers are analyzed from time series of movable thermistors near the boundary. It revealed that the thermal and viscous layer had crossed over the observed range of Rayleigh numbers (106 \u0026lt; Ra \u0026lt; 108). The frequency spectrum of the temperature fluctuations and the scaling of the cutoff frequency differed from those of He. The cascade range was smaller than expected. Characters of high Rayleigh number flow of a low Prandtl number fluid is discussed.","internal_url":"https://www.academia.edu/100112651/High_Rayleigh_Number_Turbulence_of_a_Low_Prandtl_Number_Fluid","translated_internal_url":"","created_at":"2023-04-12T11:16:37.569-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":1776753,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[],"slug":"High_Rayleigh_Number_Turbulence_of_a_Low_Prandtl_Number_Fluid","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":1776753,"first_name":"James","middle_initials":null,"last_name":"Glazier","page_name":"JamesGlazier","domain_name":"indiana","created_at":"2012-05-19T02:05:49.783-07:00","display_name":"James Glazier","url":"https://indiana.academia.edu/JamesGlazier"},"attachments":[],"research_interests":[{"id":498,"name":"Physics","url":"https://www.academia.edu/Documents/in/Physics"},{"id":512,"name":"Mechanics","url":"https://www.academia.edu/Documents/in/Mechanics"},{"id":2802,"name":"Turbulence","url":"https://www.academia.edu/Documents/in/Turbulence"},{"id":238230,"name":"Scaling","url":"https://www.academia.edu/Documents/in/Scaling"},{"id":685326,"name":"Boundary Layer","url":"https://www.academia.edu/Documents/in/Boundary_Layer"},{"id":715244,"name":"Prandtl Number","url":"https://www.academia.edu/Documents/in/Prandtl_Number"},{"id":2473898,"name":"Rayleigh Number","url":"https://www.academia.edu/Documents/in/Rayleigh_Number"}],"urls":[{"id":30587998,"url":"https://doi.org/10.1007/978-1-4612-2230-9_16"}]}, dispatcherData: dispatcherData }); 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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="100112649"><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/100112649/Networks_of_Droplets_Induced_by_Coalescence_Application_to_Cell_Sorting"><img alt="Research paper thumbnail of Networks of Droplets Induced by Coalescence: Application to Cell Sorting" 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/100112649/Networks_of_Droplets_Induced_by_Coalescence_Application_to_Cell_Sorting">Networks of Droplets Induced by Coalescence: Application to Cell Sorting</a></div><div class="wp-workCard_item"><span>Dynamical Networks in Physics and Biology</span><span>, 1998</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">A common goal in physical, chemical and life sciences is to understand the connection between the...</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 goal in physical, chemical and life sciences is to understand the connection between the growth and the morphology of developing patterns. A general process is fusion or coalescence of interacting domains, especially in mixtures of immiscible liquids or tissues, where the coalescence of two drops or clusters is the basic phenomenon which governs the morphology and the kinetics of developing patterns (Steinberg, 1963).</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="100112649"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="100112649"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 100112649; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=100112649]").text(description); $(".js-view-count[data-work-id=100112649]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 100112649; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='100112649']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 100112649, container: "", }); });</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-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.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" } } $('.js-work-strip[data-work-id=100112649]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":100112649,"title":"Networks of Droplets Induced by Coalescence: Application to Cell Sorting","translated_title":"","metadata":{"abstract":"A common goal in physical, chemical and life sciences is to understand the connection between the growth and the morphology of developing patterns. A general process is fusion or coalescence of interacting domains, especially in mixtures of immiscible liquids or tissues, where the coalescence of two drops or clusters is the basic phenomenon which governs the morphology and the kinetics of developing patterns (Steinberg, 1963).","publication_date":{"day":null,"month":null,"year":1998,"errors":{}},"publication_name":"Dynamical Networks in Physics and Biology"},"translated_abstract":"A common goal in physical, chemical and life sciences is to understand the connection between the growth and the morphology of developing patterns. A general process is fusion or coalescence of interacting domains, especially in mixtures of immiscible liquids or tissues, where the coalescence of two drops or clusters is the basic phenomenon which governs the morphology and the kinetics of developing patterns (Steinberg, 1963).","internal_url":"https://www.academia.edu/100112649/Networks_of_Droplets_Induced_by_Coalescence_Application_to_Cell_Sorting","translated_internal_url":"","created_at":"2023-04-12T11:16:37.201-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":1776753,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[],"slug":"Networks_of_Droplets_Induced_by_Coalescence_Application_to_Cell_Sorting","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":1776753,"first_name":"James","middle_initials":null,"last_name":"Glazier","page_name":"JamesGlazier","domain_name":"indiana","created_at":"2012-05-19T02:05:49.783-07:00","display_name":"James Glazier","url":"https://indiana.academia.edu/JamesGlazier"},"attachments":[],"research_interests":[{"id":511,"name":"Materials Science","url":"https://www.academia.edu/Documents/in/Materials_Science"}],"urls":[]}, 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="100112648"><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/100112648/Anomalous_DI_Usion_and_Non_Gaussian_Velocity_Distribution_of_Hydra_Cells_in_Cellular_Aggregates"><img alt="Research paper thumbnail of Anomalous DI Usion and Non-Gaussian Velocity Distribution of Hydra Cells in Cellular Aggregates" 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/100112648/Anomalous_DI_Usion_and_Non_Gaussian_Velocity_Distribution_of_Hydra_Cells_in_Cellular_Aggregates">Anomalous DI Usion and Non-Gaussian Velocity Distribution of Hydra Cells in Cellular Aggregates</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Abstract We study the center of mass motion of single endodermal Hydra cells in two kinds of cell...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Abstract We study the center of mass motion of single endodermal Hydra cells in two kinds of cellular aggregates: endodermal and ectodermal. The mean square displacement displays anomalous super-di usion with x 2 ∼ t where ¿1. The velocity distribution function is non-Gaussian and ÿts well the q-distribution function of velocities within the framework of the non-extensive thermostatistics proposed by Tsallis. Our results indicate that cell motion in two-dimensional cellular aggregates can be described by a &amp;quot;correlated-type&amp;quot; anomalous di usion.</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="100112648"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="100112648"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 100112648; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=100112648]").text(description); $(".js-view-count[data-work-id=100112648]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 100112648; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='100112648']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 100112648, container: "", }); });</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-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.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" } } $('.js-work-strip[data-work-id=100112648]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":100112648,"title":"Anomalous DI Usion and Non-Gaussian Velocity Distribution of Hydra Cells in Cellular Aggregates","translated_title":"","metadata":{"abstract":"Abstract We study the center of mass motion of single endodermal Hydra cells in two kinds of cellular aggregates: endodermal and ectodermal. The mean square displacement displays anomalous super-di usion with x 2 ∼ t where ¿1. The velocity distribution function is non-Gaussian and ÿts well the q-distribution function of velocities within the framework of the non-extensive thermostatistics proposed by Tsallis. Our results indicate that cell motion in two-dimensional cellular aggregates can be described by a \u0026amp;quot;correlated-type\u0026amp;quot; anomalous di usion.","publication_date":{"day":null,"month":null,"year":2001,"errors":{}}},"translated_abstract":"Abstract We study the center of mass motion of single endodermal Hydra cells in two kinds of cellular aggregates: endodermal and ectodermal. The mean square displacement displays anomalous super-di usion with x 2 ∼ t where ¿1. The velocity distribution function is non-Gaussian and ÿts well the q-distribution function of velocities within the framework of the non-extensive thermostatistics proposed by Tsallis. 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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="100112646"><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/100112646/Monte_Carlo_Study_of_2D_Foams_Under_Stress"><img alt="Research paper thumbnail of Monte Carlo Study of 2D Foams Under Stress" 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/100112646/Monte_Carlo_Study_of_2D_Foams_Under_Stress">Monte Carlo Study of 2D Foams Under Stress</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Foams have unique rheological properties that range from solid-like to fluid-like flow behavior. ...</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">Foams have unique rheological properties that range from solid-like to fluid-like flow behavior. We study foams under periodic shear stress in a Monte Carlo simulation (using the extended large-Q Potts model) and find three different types of hysteresis in the stress-strain relationship, which correspond to elastic, viscoelastic and fluid-like properties of foams. We relate this wide-ranging mechanical response of foams</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="100112646"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="100112646"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 100112646; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=100112646]").text(description); $(".js-view-count[data-work-id=100112646]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 100112646; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='100112646']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 100112646, container: "", }); });</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-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.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" } } $('.js-work-strip[data-work-id=100112646]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":100112646,"title":"Monte Carlo Study of 2D Foams Under Stress","translated_title":"","metadata":{"abstract":"Foams have unique rheological properties that range from solid-like to fluid-like flow behavior. We study foams under periodic shear stress in a Monte Carlo simulation (using the extended large-Q Potts model) and find three different types of hysteresis in the stress-strain relationship, which correspond to elastic, viscoelastic and fluid-like properties of foams. We relate this wide-ranging mechanical response of foams"},"translated_abstract":"Foams have unique rheological properties that range from solid-like to fluid-like flow behavior. We study foams under periodic shear stress in a Monte Carlo simulation (using the extended large-Q Potts model) and find three different types of hysteresis in the stress-strain relationship, which correspond to elastic, viscoelastic and fluid-like properties of foams. We relate this wide-ranging mechanical response of foams","internal_url":"https://www.academia.edu/100112646/Monte_Carlo_Study_of_2D_Foams_Under_Stress","translated_internal_url":"","created_at":"2023-04-12T11:16:36.731-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":1776753,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[],"slug":"Monte_Carlo_Study_of_2D_Foams_Under_Stress","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":1776753,"first_name":"James","middle_initials":null,"last_name":"Glazier","page_name":"JamesGlazier","domain_name":"indiana","created_at":"2012-05-19T02:05:49.783-07:00","display_name":"James Glazier","url":"https://indiana.academia.edu/JamesGlazier"},"attachments":[],"research_interests":[{"id":4392,"name":"Monte Carlo Simulation","url":"https://www.academia.edu/Documents/in/Monte_Carlo_Simulation"},{"id":173495,"name":"APS","url":"https://www.academia.edu/Documents/in/APS"},{"id":175859,"name":"Shear Stress","url":"https://www.academia.edu/Documents/in/Shear_Stress"},{"id":285668,"name":"Rheological properties","url":"https://www.academia.edu/Documents/in/Rheological_properties"},{"id":789709,"name":"Yield stress","url":"https://www.academia.edu/Documents/in/Yield_stress"},{"id":878377,"name":"Stress (Linguistics)","url":"https://www.academia.edu/Documents/in/Stress_Linguistics_"},{"id":1174261,"name":"Potts Model","url":"https://www.academia.edu/Documents/in/Potts_Model"},{"id":1333436,"name":"Monte Carlo Method","url":"https://www.academia.edu/Documents/in/Monte_Carlo_Method"}],"urls":[]}, 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="100112645"><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/100112645/Dynamics_of_Cellular_Pattern_Evolution_Under_Stress_Hysteresis_and_Avalanches"><img alt="Research paper thumbnail of Dynamics of Cellular Pattern Evolution Under Stress: Hysteresis and Avalanches" 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/100112645/Dynamics_of_Cellular_Pattern_Evolution_Under_Stress_Hysteresis_and_Avalanches">Dynamics of Cellular Pattern Evolution Under Stress: Hysteresis and Avalanches</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">We study the evolution of cellular patterns in 2D, specifically a hexagonal-rectangular transform...</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 study the evolution of cellular patterns in 2D, specifically a hexagonal-rectangular transformation induced by applied fields (such as stress). We impose an area constraint so as to prevent the destruction of cells. When sufficiently stressed, the system undergoes irreversible local cellular rearrangement via neighbor switching (T1 switches). Monte Carlo based simulations of the large-Q Potts model display both topological</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="100112645"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="100112645"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 100112645; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=100112645]").text(description); $(".js-view-count[data-work-id=100112645]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 100112645; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='100112645']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 100112645, container: "", }); });</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-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.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" } } $('.js-work-strip[data-work-id=100112645]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":100112645,"title":"Dynamics of Cellular Pattern Evolution Under Stress: Hysteresis and Avalanches","translated_title":"","metadata":{"abstract":"We study the evolution of cellular patterns in 2D, specifically a hexagonal-rectangular transformation induced by applied fields (such as stress). 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Monte Carlo based simulations of the large-Q Potts model display both topological","internal_url":"https://www.academia.edu/100112645/Dynamics_of_Cellular_Pattern_Evolution_Under_Stress_Hysteresis_and_Avalanches","translated_internal_url":"","created_at":"2023-04-12T11:16:36.541-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":1776753,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[],"slug":"Dynamics_of_Cellular_Pattern_Evolution_Under_Stress_Hysteresis_and_Avalanches","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":1776753,"first_name":"James","middle_initials":null,"last_name":"Glazier","page_name":"JamesGlazier","domain_name":"indiana","created_at":"2012-05-19T02:05:49.783-07:00","display_name":"James Glazier","url":"https://indiana.academia.edu/JamesGlazier"},"attachments":[],"research_interests":[{"id":511,"name":"Materials Science","url":"https://www.academia.edu/Documents/in/Materials_Science"},{"id":6974,"name":"Monte Carlo","url":"https://www.academia.edu/Documents/in/Monte_Carlo"},{"id":43005,"name":"Hysteresis","url":"https://www.academia.edu/Documents/in/Hysteresis"},{"id":173495,"name":"APS","url":"https://www.academia.edu/Documents/in/APS"},{"id":428849,"name":"Memory Effect","url":"https://www.academia.edu/Documents/in/Memory_Effect"},{"id":952571,"name":"Music Information Dynamics","url":"https://www.academia.edu/Documents/in/Music_Information_Dynamics"},{"id":1174261,"name":"Potts Model","url":"https://www.academia.edu/Documents/in/Potts_Model"}],"urls":[{"id":30587995,"url":"http://adsabs.harvard.edu/abs/1997APS..MAR.R2705J"}]}, 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="100112644"><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/100112644/Simulation_of_the_differential_adhesion_driven_rearrangement_of_biological_cells"><img alt="Research paper thumbnail of Simulation of the differential adhesion driven rearrangement of biological cells" class="work-thumbnail" src="https://attachments.academia-assets.com/101023158/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/100112644/Simulation_of_the_differential_adhesion_driven_rearrangement_of_biological_cells">Simulation of the differential adhesion driven rearrangement of biological cells</a></div><div class="wp-workCard_item"><span>Physical Review E</span><span>, 1993</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="4a5f95b4a359ed5af91076b367f6d078" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":101023158,"asset_id":100112644,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/101023158/download_file?st=MTczMjQ4MDM5Myw4LjIyMi4yMDguMTQ2&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="100112644"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="100112644"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 100112644; 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The burst is quantitatively characterized by discontinuous change of the pressure of the aggregate. The influence of dimensionality on the process and its relevance for development are discussed.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="22f0badec8aeb00f6fb312b0726cbe3e" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":101023152,"asset_id":100112643,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/101023152/download_file?st=MTczMjQ4MDM5Myw4LjIyMi4yMDguMTQ2&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="100112643"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="100112643"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 100112643; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=100112643]").text(description); $(".js-view-count[data-work-id=100112643]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 100112643; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='100112643']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 100112643, container: "", }); });</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-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.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: "22f0badec8aeb00f6fb312b0726cbe3e" } } $('.js-work-strip[data-work-id=100112643]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":100112643,"title":"Simulating Bursts in Aggregates of Cells","translated_title":"","metadata":{"abstract":"We present a simulation in two dimensions of an important process of biological development: the burst of an aggregate of cells due to the expansion of an internal cavity by influx of external medium. 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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="102464929"><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/102464929/Stochastic_simulation_of_benign_avascular_tumour_growth_using_the_Potts_model"><img alt="Research paper thumbnail of Stochastic simulation of benign avascular tumour growth using the Potts model" 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/102464929/Stochastic_simulation_of_benign_avascular_tumour_growth_using_the_Potts_model">Stochastic simulation of benign avascular tumour growth using the Potts model</a></div><div class="wp-workCard_item"><span>Mathematical and Computer Modelling</span><span>, 1999</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The simulated tumour initially grows exponentially, then forms three concentric shells as the nut...</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 simulated tumour initially grows exponentially, then forms three concentric shells as the nutrient level supplied to the core by diffusion decreases: the outer shell consists of live proliferating cells, the middle of quiescent cells and the centre is a necrotic core, where the nutrient ...</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="102464929"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="102464929"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 102464929; 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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="100112656"><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/100112656/Building_digital_twins_of_the_human_immune_system_toward_a_roadmap"><img alt="Research paper thumbnail of Building digital twins of the human immune system: toward a roadmap" class="work-thumbnail" src="https://attachments.academia-assets.com/101023127/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/100112656/Building_digital_twins_of_the_human_immune_system_toward_a_roadmap">Building digital twins of the human immune system: toward a roadmap</a></div><div class="wp-workCard_item"><span>npj Digital Medicine</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Digital twins, customized simulation models pioneered in industry, are beginning to be deployed i...</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">Digital twins, customized simulation models pioneered in industry, are beginning to be deployed in medicine and healthcare, with some major successes, for instance in cardiovascular diagnostics and in insulin pump control. Personalized computational models are also assisting in applications ranging from drug development to treatment optimization. More advanced medical digital twins will be essential to making precision medicine a reality. Because the immune system plays an important role in such a wide range of diseases and health conditions, from fighting pathogens to autoimmune disorders, digital twins of the immune system will have an especially high impact. However, their development presents major challenges, stemming from the inherent complexity of the immune system and the difficulty of measuring many aspects of a patient’s immune state in vivo. This perspective outlines a roadmap for meeting these challenges and building a prototype of an immune digital twin. It is structure...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="fc5d5787b24e04e87a6c6349a5083fdc" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":101023127,"asset_id":100112656,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/101023127/download_file?st=MTczMjQ4MDM5Myw4LjIyMi4yMDguMTQ2&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="100112656"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="100112656"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 100112656; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=100112656]").text(description); $(".js-view-count[data-work-id=100112656]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 100112656; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='100112656']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 100112656, container: "", }); });</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-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.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: "fc5d5787b24e04e87a6c6349a5083fdc" } } $('.js-work-strip[data-work-id=100112656]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":100112656,"title":"Building digital twins of the human immune system: toward a roadmap","translated_title":"","metadata":{"abstract":"Digital twins, customized simulation models pioneered in industry, are beginning to be deployed in medicine and healthcare, with some major successes, for instance in cardiovascular diagnostics and in insulin pump control. 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The equilibrium states correspond to local minima of the total perimeter. (i) We nd an approximate value of the global minimum perimeter, and a marker to determine directly from an image how far a foam is from its ground state. (ii) For (small) area disorder, small bubbles tend to sort inwards and large bubbles sort outwards. (iii) Topological charges of the same signs `repel&#39; while charges of the opposite signs `attract&#39;. 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Modeling Of Early Stage Chick Limb Development</a></div><div class="wp-workCard_item"><span>Microscopy and Microanalysis</span><span>, 2013</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Extended abstract of a paper presented at Microscopy and Microanalysis 2013 in Indianapolis, Indi...</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">Extended abstract of a paper presented at Microscopy and Microanalysis 2013 in Indianapolis, Indiana, USA, August 4 – August 8, 2013.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="6a1a7eac2e7e0acaad3907daf84f8ffc" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" 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in a low Prandtl number, Pr, fluid u...</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 have studied the scaling properties of thermal turbulence in a low Prandtl number, Pr, fluid using liquid Hg (Pr = 0.024). The length scale of thermal and viscous boundary layers are analyzed from time series of movable thermistors near the boundary. It revealed that the thermal and viscous layer had crossed over the observed range of Rayleigh numbers (106 &lt; Ra &lt; 108). The frequency spectrum of the temperature fluctuations and the scaling of the cutoff frequency differed from those of He. The cascade range was smaller than expected. Characters of high Rayleigh number flow of a low Prandtl number fluid is discussed.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="100112651"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="100112651"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 100112651; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=100112651]").text(description); $(".js-view-count[data-work-id=100112651]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 100112651; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='100112651']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 100112651, container: "", }); });</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-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.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" } } $('.js-work-strip[data-work-id=100112651]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":100112651,"title":"High Rayleigh Number Turbulence of a Low Prandtl Number Fluid","translated_title":"","metadata":{"abstract":"We have studied the scaling properties of thermal turbulence in a low Prandtl number, Pr, fluid using liquid Hg (Pr = 0.024). 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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="100112649"><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/100112649/Networks_of_Droplets_Induced_by_Coalescence_Application_to_Cell_Sorting"><img alt="Research paper thumbnail of Networks of Droplets Induced by Coalescence: Application to Cell Sorting" 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/100112649/Networks_of_Droplets_Induced_by_Coalescence_Application_to_Cell_Sorting">Networks of Droplets Induced by Coalescence: Application to Cell Sorting</a></div><div class="wp-workCard_item"><span>Dynamical Networks in Physics and Biology</span><span>, 1998</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">A common goal in physical, chemical and life sciences is to understand the connection between the...</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 goal in physical, chemical and life sciences is to understand the connection between the growth and the morphology of developing patterns. A general process is fusion or coalescence of interacting domains, especially in mixtures of immiscible liquids or tissues, where the coalescence of two drops or clusters is the basic phenomenon which governs the morphology and the kinetics of developing patterns (Steinberg, 1963).</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="100112649"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="100112649"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 100112649; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=100112649]").text(description); $(".js-view-count[data-work-id=100112649]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 100112649; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='100112649']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 100112649, container: "", }); });</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-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.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" } } $('.js-work-strip[data-work-id=100112649]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":100112649,"title":"Networks of Droplets Induced by Coalescence: Application to Cell Sorting","translated_title":"","metadata":{"abstract":"A common goal in physical, chemical and life sciences is to understand the connection between the growth and the morphology of developing patterns. 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A general process is fusion or coalescence of interacting domains, especially in mixtures of immiscible liquids or tissues, where the coalescence of two drops or clusters is the basic phenomenon which governs the morphology and the kinetics of developing patterns (Steinberg, 1963).","internal_url":"https://www.academia.edu/100112649/Networks_of_Droplets_Induced_by_Coalescence_Application_to_Cell_Sorting","translated_internal_url":"","created_at":"2023-04-12T11:16:37.201-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":1776753,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[],"slug":"Networks_of_Droplets_Induced_by_Coalescence_Application_to_Cell_Sorting","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":1776753,"first_name":"James","middle_initials":null,"last_name":"Glazier","page_name":"JamesGlazier","domain_name":"indiana","created_at":"2012-05-19T02:05:49.783-07:00","display_name":"James Glazier","url":"https://indiana.academia.edu/JamesGlazier"},"attachments":[],"research_interests":[{"id":511,"name":"Materials Science","url":"https://www.academia.edu/Documents/in/Materials_Science"}],"urls":[]}, 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="100112648"><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/100112648/Anomalous_DI_Usion_and_Non_Gaussian_Velocity_Distribution_of_Hydra_Cells_in_Cellular_Aggregates"><img alt="Research paper thumbnail of Anomalous DI Usion and Non-Gaussian Velocity Distribution of Hydra Cells in Cellular Aggregates" 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/100112648/Anomalous_DI_Usion_and_Non_Gaussian_Velocity_Distribution_of_Hydra_Cells_in_Cellular_Aggregates">Anomalous DI Usion and Non-Gaussian Velocity Distribution of Hydra Cells in Cellular Aggregates</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Abstract We study the center of mass motion of single endodermal Hydra cells in two kinds of cell...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Abstract We study the center of mass motion of single endodermal Hydra cells in two kinds of cellular aggregates: endodermal and ectodermal. The mean square displacement displays anomalous super-di usion with x 2 ∼ t where ¿1. The velocity distribution function is non-Gaussian and ÿts well the q-distribution function of velocities within the framework of the non-extensive thermostatistics proposed by Tsallis. Our results indicate that cell motion in two-dimensional cellular aggregates can be described by a &amp;quot;correlated-type&amp;quot; anomalous di usion.</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="100112648"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="100112648"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 100112648; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=100112648]").text(description); $(".js-view-count[data-work-id=100112648]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 100112648; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='100112648']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 100112648, container: "", }); });</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-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.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" } } $('.js-work-strip[data-work-id=100112648]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":100112648,"title":"Anomalous DI Usion and Non-Gaussian Velocity Distribution of Hydra Cells in Cellular Aggregates","translated_title":"","metadata":{"abstract":"Abstract We study the center of mass motion of single endodermal Hydra cells in two kinds of cellular aggregates: endodermal and ectodermal. The mean square displacement displays anomalous super-di usion with x 2 ∼ t where ¿1. The velocity distribution function is non-Gaussian and ÿts well the q-distribution function of velocities within the framework of the non-extensive thermostatistics proposed by Tsallis. Our results indicate that cell motion in two-dimensional cellular aggregates can be described by a \u0026amp;quot;correlated-type\u0026amp;quot; anomalous di usion.","publication_date":{"day":null,"month":null,"year":2001,"errors":{}}},"translated_abstract":"Abstract We study the center of mass motion of single endodermal Hydra cells in two kinds of cellular aggregates: endodermal and ectodermal. The mean square displacement displays anomalous super-di usion with x 2 ∼ t where ¿1. The velocity distribution function is non-Gaussian and ÿts well the q-distribution function of velocities within the framework of the non-extensive thermostatistics proposed by Tsallis. Our results indicate that cell motion in two-dimensional cellular aggregates can be described by a \u0026amp;quot;correlated-type\u0026amp;quot; anomalous di usion.","internal_url":"https://www.academia.edu/100112648/Anomalous_DI_Usion_and_Non_Gaussian_Velocity_Distribution_of_Hydra_Cells_in_Cellular_Aggregates","translated_internal_url":"","created_at":"2023-04-12T11:16:37.069-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":1776753,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[],"slug":"Anomalous_DI_Usion_and_Non_Gaussian_Velocity_Distribution_of_Hydra_Cells_in_Cellular_Aggregates","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":1776753,"first_name":"James","middle_initials":null,"last_name":"Glazier","page_name":"JamesGlazier","domain_name":"indiana","created_at":"2012-05-19T02:05:49.783-07:00","display_name":"James Glazier","url":"https://indiana.academia.edu/JamesGlazier"},"attachments":[],"research_interests":[{"id":3364406,"name":"Velocity Distribution","url":"https://www.academia.edu/Documents/in/Velocity_Distribution"}],"urls":[]}, dispatcherData: dispatcherData }); 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We study foams under periodic shear stress in a Monte Carlo simulation (using the extended large-Q Potts model) and find three different types of hysteresis in the stress-strain relationship, which correspond to elastic, viscoelastic and fluid-like properties of foams. We relate this wide-ranging mechanical response of foams</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="100112646"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="100112646"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 100112646; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=100112646]").text(description); $(".js-view-count[data-work-id=100112646]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 100112646; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='100112646']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 100112646, container: "", }); });</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-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.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" } } $('.js-work-strip[data-work-id=100112646]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":100112646,"title":"Monte Carlo Study of 2D Foams Under Stress","translated_title":"","metadata":{"abstract":"Foams have unique rheological properties that range from solid-like to fluid-like flow behavior. 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We impose an area constraint so as to prevent the destruction of cells. When sufficiently stressed, the system undergoes irreversible local cellular rearrangement via neighbor switching (T1 switches). Monte Carlo based simulations of the large-Q Potts model display both topological</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="100112645"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="100112645"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 100112645; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=100112645]").text(description); $(".js-view-count[data-work-id=100112645]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 100112645; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='100112645']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 100112645, container: "", }); });</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-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.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" } } $('.js-work-strip[data-work-id=100112645]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":100112645,"title":"Dynamics of Cellular Pattern Evolution Under Stress: Hysteresis and Avalanches","translated_title":"","metadata":{"abstract":"We study the evolution of cellular patterns in 2D, specifically a hexagonal-rectangular transformation induced by applied fields (such as stress). 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src="https://attachments.academia-assets.com/101023155/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/100112641/Anomalous_diffusion_and_non_Gaussian_velocity_distribution_of_Hydra_cells_in_cellular_aggregates">Anomalous diffusion and non-Gaussian velocity distribution of Hydra cells in cellular aggregates</a></div><div class="wp-workCard_item"><span>Physica A: Statistical Mechanics and its Applications</span><span>, 2001</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="a08d522a61ff2c8ac10f3d2bc74300d2" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":101023155,"asset_id":100112641,"asset_type":"Work","button_location":"profile"}" 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series using Potts Model on a pinned lattice</a></div><div class="wp-workCard_item"><span>Journal of Computational Physics</span><span>, 2003</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="f2447b654495f680dd755552f8b8add6" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":101023151,"asset_id":100112638,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/101023151/download_file?st=MTczMjQ4MDM5Myw4LjIyMi4yMDguMTQ2&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="100112638"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa 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