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Stadler","profile_url":"https://independent.academia.edu/PeterStadler?f_ri=2963","photo":"/images/s65_no_pic.png"}],"research_interests":[{"id":2963,"name":"Mathematical Biology","url":"https://www.academia.edu/Documents/in/Mathematical_Biology?f_ri=2963","nofollow":false},{"id":4967,"name":"Molecular Evolution","url":"https://www.academia.edu/Documents/in/Molecular_Evolution?f_ri=2963","nofollow":false},{"id":47884,"name":"Biological Sciences","url":"https://www.academia.edu/Documents/in/Biological_Sciences?f_ri=2963","nofollow":false},{"id":80414,"name":"Mathematical Sciences","url":"https://www.academia.edu/Documents/in/Mathematical_Sciences?f_ri=2963","nofollow":false},{"id":86034,"name":"Mathematical Analysis","url":"https://www.academia.edu/Documents/in/Mathematical_Analysis?f_ri=2963"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_14839384" data-work_id="14839384" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/14839384/Global_Stability_Results_in_a_SVIR_Epidemic_Model_with_Immunity_Loss_Rate_Depending_on_the_Vaccine_Age">Global Stability Results in a SVIR Epidemic Model with Immunity Loss Rate Depending on the Vaccine-Age</a></div></div><div class="u-pb4x u-mt3x"></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/14839384" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a 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}); });</script></span><script>$(function() { $(".js-view-count-work_14839384").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="14839384"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i> <a class="InlineList-item-text u-positionRelative">9</a> </div><span class="InlineList-item-text u-textTruncate u-pl9x"><a class="InlineList-item-text" data-has-card-for-ri="2963" href="https://www.academia.edu/Documents/in/Mathematical_Biology">Mathematical Biology</a>, <script data-card-contents-for-ri="2963" type="text/json">{"id":2963,"name":"Mathematical Biology","url":"https://www.academia.edu/Documents/in/Mathematical_Biology?f_ri=2963","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="13398" href="https://www.academia.edu/Documents/in/Mathematical_Epidemiology">Mathematical Epidemiology</a>, <script data-card-contents-for-ri="13398" type="text/json">{"id":13398,"name":"Mathematical Epidemiology","url":"https://www.academia.edu/Documents/in/Mathematical_Epidemiology?f_ri=2963","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="16521" href="https://www.academia.edu/Documents/in/Mathematical_biology_Mathematics_">Mathematical biology (Mathematics)</a>, <script data-card-contents-for-ri="16521" type="text/json">{"id":16521,"name":"Mathematical biology (Mathematics)","url":"https://www.academia.edu/Documents/in/Mathematical_biology_Mathematics_?f_ri=2963","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="67038" href="https://www.academia.edu/Documents/in/Lyapunov_Stability_Theory">Lyapunov Stability Theory</a><script data-card-contents-for-ri="67038" type="text/json">{"id":67038,"name":"Lyapunov Stability 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Miramontes","profile_url":"https://independent.academia.edu/PedroMiramontes?f_ri=2963","photo":"/images/s65_no_pic.png"}],"research_interests":[{"id":2963,"name":"Mathematical Biology","url":"https://www.academia.edu/Documents/in/Mathematical_Biology?f_ri=2963","nofollow":false},{"id":13398,"name":"Mathematical Epidemiology","url":"https://www.academia.edu/Documents/in/Mathematical_Epidemiology?f_ri=2963","nofollow":false},{"id":16521,"name":"Mathematical biology (Mathematics)","url":"https://www.academia.edu/Documents/in/Mathematical_biology_Mathematics_?f_ri=2963","nofollow":false},{"id":67038,"name":"Lyapunov Stability Theory","url":"https://www.academia.edu/Documents/in/Lyapunov_Stability_Theory?f_ri=2963","nofollow":false},{"id":420906,"name":"Lyapunov functions","url":"https://www.academia.edu/Documents/in/Lyapunov_functions?f_ri=2963"},{"id":543165,"name":"direct Lyapunov method","url":"https://www.academia.edu/Documents/in/direct_Lyapunov_method?f_ri=2963"},{"id":543171,"name":"Lyapunov function","url":"https://www.academia.edu/Documents/in/Lyapunov_function?f_ri=2963"},{"id":543197,"name":"Second Method of Lyapunov","url":"https://www.academia.edu/Documents/in/Second_Method_of_Lyapunov?f_ri=2963"},{"id":544875,"name":"Lyapunov techniques","url":"https://www.academia.edu/Documents/in/Lyapunov_techniques?f_ri=2963"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_6141676" data-work_id="6141676" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/6141676/A_graph_theoretic_method_for_the_basic_reproduction_number_in_continuous_time_epidemiological_models">A graph-theoretic method for the basic reproduction number in continuous time epidemiological models</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">In epidemiological models of infectious diseases the basic reproduction number ${\mathcal{R}_0}$ is used as a threshold parameter to determine the threshold between disease extinction and outbreak. A graph-theoretic form of Gaussian... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_6141676" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">In epidemiological models of infectious diseases the basic reproduction number ${\mathcal{R}_0}$ is used as a threshold parameter to determine the threshold between disease extinction and outbreak. A graph-theoretic form of Gaussian elimination using digraph reduction is derived and an algorithm given for calculating the basic reproduction number in continuous time epidemiological models. Examples illustrate how this method can be applied to compartmental models of infectious diseases modelled by a system of ordinary differential equations. We also show with these examples how lower bounds for ${\mathcal{R}_0}$ can be obtained from the digraphs in the reduction process.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/6141676" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="a4795d92b249e24794f259d7bed4c963" rel="nofollow" data-download="{"attachment_id":49001577,"asset_id":6141676,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/49001577/download_file?st=MTczMjk4MzU1Miw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="9324630" href="https://ucr.academia.edu/TomasdeCamino">Tomas de Camino</a><script data-card-contents-for-user="9324630" type="text/json">{"id":9324630,"first_name":"Tomas","last_name":"de Camino","domain_name":"ucr","page_name":"TomasdeCamino","display_name":"Tomas de Camino","profile_url":"https://ucr.academia.edu/TomasdeCamino?f_ri=2963","photo":"/images/s65_no_pic.png"}</script></span></span></li><li class="js-paper-rank-work_6141676 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="6141676"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 6141676, container: ".js-paper-rank-work_6141676", }); 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$(".js-view-count[data-work-id=6141676]").text(description); $(".js-view-count-work_6141676").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_6141676").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="6141676"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i> <a class="InlineList-item-text u-positionRelative">11</a> </div><span class="InlineList-item-text u-textTruncate u-pl10x"><a class="InlineList-item-text" data-has-card-for-ri="428" href="https://www.academia.edu/Documents/in/Algorithms">Algorithms</a>, <script data-card-contents-for-ri="428" type="text/json">{"id":428,"name":"Algorithms","url":"https://www.academia.edu/Documents/in/Algorithms?f_ri=2963","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="2963" href="https://www.academia.edu/Documents/in/Mathematical_Biology">Mathematical Biology</a>, <script data-card-contents-for-ri="2963" type="text/json">{"id":2963,"name":"Mathematical Biology","url":"https://www.academia.edu/Documents/in/Mathematical_Biology?f_ri=2963","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="13734" href="https://www.academia.edu/Documents/in/Communicable_Diseases">Communicable Diseases</a>, <script data-card-contents-for-ri="13734" type="text/json">{"id":13734,"name":"Communicable Diseases","url":"https://www.academia.edu/Documents/in/Communicable_Diseases?f_ri=2963","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="47884" href="https://www.academia.edu/Documents/in/Biological_Sciences">Biological Sciences</a><script data-card-contents-for-ri="47884" type="text/json">{"id":47884,"name":"Biological Sciences","url":"https://www.academia.edu/Documents/in/Biological_Sciences?f_ri=2963","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=6141676]'), work: {"id":6141676,"title":"A graph-theoretic method for the basic reproduction number in continuous time epidemiological models","created_at":"2014-02-19T20:35:23.538-08:00","url":"https://www.academia.edu/6141676/A_graph_theoretic_method_for_the_basic_reproduction_number_in_continuous_time_epidemiological_models?f_ri=2963","dom_id":"work_6141676","summary":"In epidemiological models of infectious diseases the basic reproduction number ${\\mathcal{R}_0}$ is used as a threshold parameter to determine the threshold between disease extinction and outbreak. A graph-theoretic form of Gaussian elimination using digraph reduction is derived and an algorithm given for calculating the basic reproduction number in continuous time epidemiological models. Examples illustrate how this method can be applied to compartmental models of infectious diseases modelled by a system of ordinary differential equations. We also show with these examples how lower bounds for ${\\mathcal{R}_0}$ can be obtained from the digraphs in the reduction process.","downloadable_attachments":[{"id":49001577,"asset_id":6141676,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":9324630,"first_name":"Tomas","last_name":"de Camino","domain_name":"ucr","page_name":"TomasdeCamino","display_name":"Tomas de Camino","profile_url":"https://ucr.academia.edu/TomasdeCamino?f_ri=2963","photo":"/images/s65_no_pic.png"}],"research_interests":[{"id":428,"name":"Algorithms","url":"https://www.academia.edu/Documents/in/Algorithms?f_ri=2963","nofollow":false},{"id":2963,"name":"Mathematical Biology","url":"https://www.academia.edu/Documents/in/Mathematical_Biology?f_ri=2963","nofollow":false},{"id":13734,"name":"Communicable Diseases","url":"https://www.academia.edu/Documents/in/Communicable_Diseases?f_ri=2963","nofollow":false},{"id":47884,"name":"Biological Sciences","url":"https://www.academia.edu/Documents/in/Biological_Sciences?f_ri=2963","nofollow":false},{"id":80414,"name":"Mathematical Sciences","url":"https://www.academia.edu/Documents/in/Mathematical_Sciences?f_ri=2963"},{"id":389519,"name":"Gaussian Elimination","url":"https://www.academia.edu/Documents/in/Gaussian_Elimination?f_ri=2963"},{"id":521862,"name":"West Nile Fever","url":"https://www.academia.edu/Documents/in/West_Nile_Fever?f_ri=2963"},{"id":543163,"name":"Basic Reproduction Number","url":"https://www.academia.edu/Documents/in/Basic_Reproduction_Number?f_ri=2963"},{"id":571143,"name":"Lower Bound","url":"https://www.academia.edu/Documents/in/Lower_Bound?f_ri=2963"},{"id":991097,"name":"Continuous Time Systems","url":"https://www.academia.edu/Documents/in/Continuous_Time_Systems?f_ri=2963"},{"id":1770555,"name":"Ordinary Differential Equation","url":"https://www.academia.edu/Documents/in/Ordinary_Differential_Equation?f_ri=2963"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_12052037" data-work_id="12052037" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/12052037/Computing_the_length_of_the_shortest_telomeres">Computing the length of the shortest telomeres</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">The telomere length can either be shortened or elongated by an enzyme called telomerase after each cell division. Interestingly, the shortest telomere is involved in controlling the ability of a cell to divide. Yet, its dynamics remains... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_12052037" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">The telomere length can either be shortened or elongated by an enzyme called telomerase after each cell <br />division. Interestingly, the shortest telomere is involved in controlling the ability of a cell to divide. Yet, its <br />dynamics remains elusive. We present here a stochastic approach where we model this dynamics using a <br />Markov jump process.We solve the forward Fokker-Planck equation to obtain the steady state distribution <br />and the statistical moments of telomere lengths. We focus specifically on the shortest one and we estimate <br />its length difference with the second shortest telomere. After extracting key parameters such as elongation <br />and shortening dynamics from experimental data, we compute the length of telomeres in yeast and obtain <br />as a possible prediction the minimum concentration of telomerase required to ensure a proper cell <br />division.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/12052037" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="984f7c0e0b84b01b0adf90010a5b83eb" rel="nofollow" data-download="{"attachment_id":37380615,"asset_id":12052037,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/37380615/download_file?st=MTczMjk4MzU1Miw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="21403871" href="https://berkeley.academia.edu/KhanhDaoDuc">Khanh Dao Duc</a><script data-card-contents-for-user="21403871" type="text/json">{"id":21403871,"first_name":"Khanh","last_name":"Dao Duc","domain_name":"berkeley","page_name":"KhanhDaoDuc","display_name":"Khanh Dao Duc","profile_url":"https://berkeley.academia.edu/KhanhDaoDuc?f_ri=2963","photo":"/images/s65_no_pic.png"}</script></span></span></li><li class="js-paper-rank-work_12052037 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="12052037"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 12052037, container: ".js-paper-rank-work_12052037", }); 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$(".js-view-count[data-work-id=12052037]").text(description); $(".js-view-count-work_12052037").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_12052037").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="12052037"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i> <a class="InlineList-item-text u-positionRelative">7</a> </div><span class="InlineList-item-text u-textTruncate u-pl9x"><a class="InlineList-item-text" data-has-card-for-ri="347" href="https://www.academia.edu/Documents/in/Stochastic_Process">Stochastic Process</a>, <script data-card-contents-for-ri="347" type="text/json">{"id":347,"name":"Stochastic Process","url":"https://www.academia.edu/Documents/in/Stochastic_Process?f_ri=2963","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="2963" href="https://www.academia.edu/Documents/in/Mathematical_Biology">Mathematical Biology</a>, <script data-card-contents-for-ri="2963" type="text/json">{"id":2963,"name":"Mathematical Biology","url":"https://www.academia.edu/Documents/in/Mathematical_Biology?f_ri=2963","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="3775" href="https://www.academia.edu/Documents/in/Senescence">Senescence</a>, <script data-card-contents-for-ri="3775" type="text/json">{"id":3775,"name":"Senescence","url":"https://www.academia.edu/Documents/in/Senescence?f_ri=2963","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="4218" href="https://www.academia.edu/Documents/in/Telomeres">Telomeres</a><script data-card-contents-for-ri="4218" type="text/json">{"id":4218,"name":"Telomeres","url":"https://www.academia.edu/Documents/in/Telomeres?f_ri=2963","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=12052037]'), work: {"id":12052037,"title":"Computing the length of the shortest telomeres","created_at":"2015-04-21T11:23:11.283-07:00","url":"https://www.academia.edu/12052037/Computing_the_length_of_the_shortest_telomeres?f_ri=2963","dom_id":"work_12052037","summary":"The telomere length can either be shortened or elongated by an enzyme called telomerase after each cell\r\ndivision. Interestingly, the shortest telomere is involved in controlling the ability of a cell to divide. Yet, its\r\ndynamics remains elusive. We present here a stochastic approach where we model this dynamics using a\r\nMarkov jump process.We solve the forward Fokker-Planck equation to obtain the steady state distribution\r\nand the statistical moments of telomere lengths. We focus specifically on the shortest one and we estimate\r\nits length difference with the second shortest telomere. After extracting key parameters such as elongation\r\nand shortening dynamics from experimental data, we compute the length of telomeres in yeast and obtain\r\nas a possible prediction the minimum concentration of telomerase required to ensure a proper cell\r\ndivision.","downloadable_attachments":[{"id":37380615,"asset_id":12052037,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":21403871,"first_name":"Khanh","last_name":"Dao Duc","domain_name":"berkeley","page_name":"KhanhDaoDuc","display_name":"Khanh Dao Duc","profile_url":"https://berkeley.academia.edu/KhanhDaoDuc?f_ri=2963","photo":"/images/s65_no_pic.png"}],"research_interests":[{"id":347,"name":"Stochastic Process","url":"https://www.academia.edu/Documents/in/Stochastic_Process?f_ri=2963","nofollow":false},{"id":2963,"name":"Mathematical Biology","url":"https://www.academia.edu/Documents/in/Mathematical_Biology?f_ri=2963","nofollow":false},{"id":3775,"name":"Senescence","url":"https://www.academia.edu/Documents/in/Senescence?f_ri=2963","nofollow":false},{"id":4218,"name":"Telomeres","url":"https://www.academia.edu/Documents/in/Telomeres?f_ri=2963","nofollow":false},{"id":4233,"name":"Computational Biology","url":"https://www.academia.edu/Documents/in/Computational_Biology?f_ri=2963"},{"id":39865,"name":"Telomerase","url":"https://www.academia.edu/Documents/in/Telomerase?f_ri=2963"},{"id":159886,"name":"TELOMERE LENGTH","url":"https://www.academia.edu/Documents/in/TELOMERE_LENGTH?f_ri=2963"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_76384794" data-work_id="76384794" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/76384794/Reliable_analysis_for_delay_differential_equations_arising_in_mathematical_biology">Reliable analysis for delay differential equations arising in mathematical biology</a></div></div><div class="u-pb4x u-mt3x"></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/76384794" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="19c1bfa29bb7e3343bfc5723a8fb6f53" rel="nofollow" data-download="{"attachment_id":84110151,"asset_id":76384794,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/84110151/download_file?st=MTczMjk4MzU1Miw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="23332195" href="https://independent.academia.edu/AhmetYILDIRIM6">Ahmet YILDIRIM</a><script data-card-contents-for-user="23332195" type="text/json">{"id":23332195,"first_name":"Ahmet","last_name":"YILDIRIM","domain_name":"independent","page_name":"AhmetYILDIRIM6","display_name":"Ahmet YILDIRIM","profile_url":"https://independent.academia.edu/AhmetYILDIRIM6?f_ri=2963","photo":"/images/s65_no_pic.png"}</script></span></span></li><li class="js-paper-rank-work_76384794 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="76384794"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 76384794, container: ".js-paper-rank-work_76384794", }); 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Very few studies on the burden of TB in... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_37491545" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">The reports published by WHO on a daily basis suggest that tuberculosis (TB) remains the top infectious killer as in 2016 in SouthEast Asia, and hence considered a " burden " in these countries. Very few studies on the burden of TB in SouthEast Asia have been done. One cannot only hypothesize the causes of TB, but also try to venture what forms of medications have been implemented to eradicate the disease. Some of these possibilities have been looked into and analysed in the study of the patients suffering from TB in SouthEast Asian countries (as demarcated by WHO). It has been approximated that there is a total of 95602 TB suffering patients and among them just 1500 of them took different clinical tests to detect for the actual presence of the disease so that they can adopt treatment at the earliest. These patients were either immune to rifampicin or multi-drug treatment. Also, HIV test was done with their dried blood samples, but just a handful of them tested positive for HIV. So there was no reason to treat the HIV+ patients separately while carrying out the analysis. It is seen that women are more prone to running the risk of TB as compared to men. Further, we observe that the disease is not equally distributed in all the countries considered. For, instance there is hardly any new incidence of TB case in Singapore. At the same time, there is an unequal distribution among all the countries with respect to the processing of effective test detection for TB. Moreover, extensively drug-resistant TB has also been reported in Indonesia, Myanmar and Thailand.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/37491545" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="ca10b4613a0994d42f3d0c49c26d8c85" rel="nofollow" data-download="{"attachment_id":57462191,"asset_id":37491545,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/57462191/download_file?st=MTczMjk4MzU1Miw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="807504" href="https://niftem.academia.edu/KalyanDas">Kalyan Das</a><script data-card-contents-for-user="807504" type="text/json">{"id":807504,"first_name":"Kalyan","last_name":"Das","domain_name":"niftem","page_name":"KalyanDas","display_name":"Kalyan Das","profile_url":"https://niftem.academia.edu/KalyanDas?f_ri=2963","photo":"https://0.academia-photos.com/807504/280944/19209742/s65_kalyan.das.jpg"}</script></span></span><span class="u-displayInlineBlock InlineList-item-text"> and <span class="u-textDecorationUnderline u-clickable InlineList-item-text js-work-more-authors-37491545">+1</span><div class="hidden js-additional-users-37491545"><div><span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a href="https://independent.academia.edu/AnishaDas8">Anisha Das</a></span></div></div></span><script>(function(){ var popoverSettings = { el: $('.js-work-more-authors-37491545'), placement: 'bottom', hide_delay: 200, html: true, content: function(){ return $('.js-additional-users-37491545').html(); 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Very few studies on the burden of TB in SouthEast Asia have been done. One cannot only hypothesize the causes of TB, but also try to venture what forms of medications have been implemented to eradicate the disease. Some of these possibilities have been looked into and analysed in the study of the patients suffering from TB in SouthEast Asian countries (as demarcated by WHO). It has been approximated that there is a total of 95602 TB suffering patients and among them just 1500 of them took different clinical tests to detect for the actual presence of the disease so that they can adopt treatment at the earliest. These patients were either immune to rifampicin or multi-drug treatment. Also, HIV test was done with their dried blood samples, but just a handful of them tested positive for HIV. So there was no reason to treat the HIV+ patients separately while carrying out the analysis. It is seen that women are more prone to running the risk of TB as compared to men. Further, we observe that the disease is not equally distributed in all the countries considered. For, instance there is hardly any new incidence of TB case in Singapore. At the same time, there is an unequal distribution among all the countries with respect to the processing of effective test detection for TB. Moreover, extensively drug-resistant TB has also been reported in Indonesia, Myanmar and Thailand.","downloadable_attachments":[{"id":57462191,"asset_id":37491545,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":807504,"first_name":"Kalyan","last_name":"Das","domain_name":"niftem","page_name":"KalyanDas","display_name":"Kalyan Das","profile_url":"https://niftem.academia.edu/KalyanDas?f_ri=2963","photo":"https://0.academia-photos.com/807504/280944/19209742/s65_kalyan.das.jpg"},{"id":83333538,"first_name":"Anisha","last_name":"Das","domain_name":"independent","page_name":"AnishaDas8","display_name":"Anisha Das","profile_url":"https://independent.academia.edu/AnishaDas8?f_ri=2963","photo":"/images/s65_no_pic.png"}],"research_interests":[{"id":2963,"name":"Mathematical Biology","url":"https://www.academia.edu/Documents/in/Mathematical_Biology?f_ri=2963","nofollow":false}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_7593164" data-work_id="7593164" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/7593164/Modeling_Neural_Development">Modeling Neural Development</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">This is one of the first books to study neural development using computational and mathematical modeling. Modeling provides precise and exact ways of expression, which allow us to go beyond the insights that intuitive or commonsense... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_7593164" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">This is one of the first books to study neural development using computational and mathematical modeling. Modeling provides precise and exact ways of expression, which allow us to go beyond the insights that intuitive or commonsense reasoning alone can yield. Most neural modeling focuses on information processing in the adult nervous system; Modeling Neural Development shows how models can be used to study the development of the nervous system at different levels of organization and at different phases of development, from molecule to system and from neurulation to cognition. The book's fourteen chapters follow loosely the chronology of neural development. Chapters 1 and 2 study the very early development of the nervous system, discussing gene networks, cell differentiation, and neural tube development. Chapters 3-5 examine neuronal morphogenesis and neurite outgrowth. Chapters 6-8 study different aspects of the self-organization of neurons into networks. Chapters 9-12 cover refinement of connectivity and the development of specific connectivity patterns. Chapters 13 and 14 focus on some of the functional implications of morphology and development. Each chapter contains an overview of the biology of the topic in question, a review of the modeling efforts in the field, a discussion in more detail of some of the models, and some perspectives on future theoretical and experimental work. The science of studying neural development by computational and mathematical modeling is relatively new; this book, as Dale Purves writes in the foreword, "serves as an important progress report" in the effort to understand the complexities of neural development.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/7593164" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="d21b091e19ffbf6ba055fbfb1b664242" rel="nofollow" data-download="{"attachment_id":51016357,"asset_id":7593164,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/51016357/download_file?st=MTczMjk4MzU1Miw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="13197303" href="https://independent.academia.edu/ArjenvanOoyen">Arjen van Ooyen</a><script data-card-contents-for-user="13197303" type="text/json">{"id":13197303,"first_name":"Arjen","last_name":"van Ooyen","domain_name":"independent","page_name":"ArjenvanOoyen","display_name":"Arjen van Ooyen","profile_url":"https://independent.academia.edu/ArjenvanOoyen?f_ri=2963","photo":"https://0.academia-photos.com/13197303/3721252/4360030/s65_arjen.van_ooyen.jpg"}</script></span></span></li><li class="js-paper-rank-work_7593164 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="7593164"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 7593164, container: ".js-paper-rank-work_7593164", }); 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Modeling provides precise and exact ways of expression, which allow us to go beyond the insights that intuitive or commonsense reasoning alone can yield. Most neural modeling focuses on information processing in the adult nervous system; Modeling Neural Development shows how models can be used to study the development of the nervous system at different levels of organization and at different phases of development, from molecule to system and from neurulation to cognition. The book's fourteen chapters follow loosely the chronology of neural development. Chapters 1 and 2 study the very early development of the nervous system, discussing gene networks, cell differentiation, and neural tube development. Chapters 3-5 examine neuronal morphogenesis and neurite outgrowth. Chapters 6-8 study different aspects of the self-organization of neurons into networks. Chapters 9-12 cover refinement of connectivity and the development of specific connectivity patterns. Chapters 13 and 14 focus on some of the functional implications of morphology and development. Each chapter contains an overview of the biology of the topic in question, a review of the modeling efforts in the field, a discussion in more detail of some of the models, and some perspectives on future theoretical and experimental work. The science of studying neural development by computational and mathematical modeling is relatively new; this book, as Dale Purves writes in the foreword, \"serves as an important progress report\" in the effort to understand the complexities of neural development.","downloadable_attachments":[{"id":51016357,"asset_id":7593164,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":13197303,"first_name":"Arjen","last_name":"van Ooyen","domain_name":"independent","page_name":"ArjenvanOoyen","display_name":"Arjen van Ooyen","profile_url":"https://independent.academia.edu/ArjenvanOoyen?f_ri=2963","photo":"https://0.academia-photos.com/13197303/3721252/4360030/s65_arjen.van_ooyen.jpg"}],"research_interests":[{"id":161,"name":"Neuroscience","url":"https://www.academia.edu/Documents/in/Neuroscience?f_ri=2963","nofollow":false},{"id":1084,"name":"Developmental Neurobiology","url":"https://www.academia.edu/Documents/in/Developmental_Neurobiology?f_ri=2963","nofollow":false},{"id":2963,"name":"Mathematical Biology","url":"https://www.academia.edu/Documents/in/Mathematical_Biology?f_ri=2963","nofollow":false},{"id":5451,"name":"Computational Neuroscience","url":"https://www.academia.edu/Documents/in/Computational_Neuroscience?f_ri=2963","nofollow":false},{"id":8322,"name":"Developmental neuroscience","url":"https://www.academia.edu/Documents/in/Developmental_neuroscience?f_ri=2963"},{"id":26977,"name":"Theoretical biology","url":"https://www.academia.edu/Documents/in/Theoretical_biology?f_ri=2963"},{"id":40540,"name":"Neural Development","url":"https://www.academia.edu/Documents/in/Neural_Development?f_ri=2963"},{"id":49731,"name":"Mathematical Neuroscience","url":"https://www.academia.edu/Documents/in/Mathematical_Neuroscience?f_ri=2963"},{"id":55356,"name":"Theoretical Neuroscience","url":"https://www.academia.edu/Documents/in/Theoretical_Neuroscience?f_ri=2963"},{"id":424012,"name":"Human Nervous System","url":"https://www.academia.edu/Documents/in/Human_Nervous_System?f_ri=2963"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_68173600" data-work_id="68173600" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/68173600/Development_of_a_computational_model_of_glucose_toxicity_in_the_progression_of_diabetes_mellitus">Development of a computational model of glucose toxicity in the progression of diabetes mellitus</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">Diabetes mellitus is a disease characterized by a range of metabolic complications involving an individual&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;#39;s blood glucose levels, and its main regulator, insulin. These... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_68173600" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Diabetes mellitus is a disease characterized by a range of metabolic complications involving an individual&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;#39;s blood glucose levels, and its main regulator, insulin. These complications can vary largely from person to person depending on their current biophysical state. Biomedical research day-by-day makes strides to impact the lives of patients of a variety of diseases, including diabetes. One large stride that is being made is the generation of techniques to assist physicians to ``personalize medicine&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;#39;&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;#39;. From available physiological data, biological understanding of the system, and dimensional analysis, a differential equation-based mathematical model was built in a sequential matter, to be able to elucidate clearly how each parameter correlates to the patient&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;#39;s current physiological state. We developed a simple mathematical model that accurately simulates the dynamics between glucose, insulin, and pancreatic $\beta$-cells throughout disease progression with constraints to maintain biological relevance. The current framework is clearly capable of tracking the patient&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;#39;s current progress through the disease, dependent on factors such as latent insulin resistance or an attrite $\beta$-cell population. Further interests would be to develop tools that allow the direct and feasible testing of how effective a given plan of treatment would be at returning the patient to a desirable biophysical state.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/68173600" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="175566957" href="https://independent.academia.edu/Danilorivera19">Danilo rivera</a><script data-card-contents-for-user="175566957" type="text/json">{"id":175566957,"first_name":"Danilo","last_name":"rivera","domain_name":"independent","page_name":"Danilorivera19","display_name":"Danilo rivera","profile_url":"https://independent.academia.edu/Danilorivera19?f_ri=2963","photo":"/images/s65_no_pic.png"}</script></span></span></li><li class="js-paper-rank-work_68173600 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="68173600"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 68173600, container: ".js-paper-rank-work_68173600", }); 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These complications can vary largely from person to person depending on their current biophysical state. Biomedical research day-by-day makes strides to impact the lives of patients of a variety of diseases, including diabetes. One large stride that is being made is the generation of techniques to assist physicians to ``personalize medicine\u0026amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;#39;\u0026amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;#39;. From available physiological data, biological understanding of the system, and dimensional analysis, a differential equation-based mathematical model was built in a sequential matter, to be able to elucidate clearly how each parameter correlates to the patient\u0026amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;#39;s current physiological state. We developed a simple mathematical model that accurately simulates the dynamics between glucose, insulin, and pancreatic $\\beta$-cells throughout disease progression with constraints to maintain biological relevance. The current framework is clearly capable of tracking the patient\u0026amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;#39;s current progress through the disease, dependent on factors such as latent insulin resistance or an attrite $\\beta$-cell population. Further interests would be to develop tools that allow the direct and feasible testing of how effective a given plan of treatment would be at returning the patient to a desirable biophysical state.","downloadable_attachments":[],"ordered_authors":[{"id":175566957,"first_name":"Danilo","last_name":"rivera","domain_name":"independent","page_name":"Danilorivera19","display_name":"Danilo rivera","profile_url":"https://independent.academia.edu/Danilorivera19?f_ri=2963","photo":"/images/s65_no_pic.png"}],"research_interests":[{"id":72,"name":"Chemical Engineering","url":"https://www.academia.edu/Documents/in/Chemical_Engineering?f_ri=2963","nofollow":false},{"id":305,"name":"Applied Mathematics","url":"https://www.academia.edu/Documents/in/Applied_Mathematics?f_ri=2963","nofollow":false},{"id":1080,"name":"Dynamical Systems","url":"https://www.academia.edu/Documents/in/Dynamical_Systems?f_ri=2963","nofollow":false},{"id":1131,"name":"Biomedical Engineering","url":"https://www.academia.edu/Documents/in/Biomedical_Engineering?f_ri=2963","nofollow":false},{"id":2963,"name":"Mathematical Biology","url":"https://www.academia.edu/Documents/in/Mathematical_Biology?f_ri=2963"},{"id":4581,"name":"Diabetes","url":"https://www.academia.edu/Documents/in/Diabetes?f_ri=2963"},{"id":16221,"name":"Mathematical Modeling","url":"https://www.academia.edu/Documents/in/Mathematical_Modeling?f_ri=2963"},{"id":16521,"name":"Mathematical biology (Mathematics)","url":"https://www.academia.edu/Documents/in/Mathematical_biology_Mathematics_?f_ri=2963"},{"id":71289,"name":"Glucose","url":"https://www.academia.edu/Documents/in/Glucose?f_ri=2963"},{"id":71300,"name":"Blood Glucose","url":"https://www.academia.edu/Documents/in/Blood_Glucose?f_ri=2963"},{"id":71400,"name":"Insulin","url":"https://www.academia.edu/Documents/in/Insulin?f_ri=2963"},{"id":71511,"name":"Diabetes mellitus","url":"https://www.academia.edu/Documents/in/Diabetes_mellitus?f_ri=2963"},{"id":343667,"name":"Theoretical Models","url":"https://www.academia.edu/Documents/in/Theoretical_Models?f_ri=2963"},{"id":842794,"name":"Applied Mathematics and Mathematical Biology","url":"https://www.academia.edu/Documents/in/Applied_Mathematics_and_Mathematical_Biology?f_ri=2963"},{"id":1274741,"name":"Beta Cells","url":"https://www.academia.edu/Documents/in/Beta_Cells?f_ri=2963"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_13362612 coauthored" data-work_id="13362612" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/13362612/Optimal_strategies_in_immunology_III_The_IgM_IgG_switch">Optimal strategies in immunology III. The IgM-IgG switch</a></div></div><div class="u-pb4x u-mt3x"></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/13362612" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="fc402590b61c3a791a91b317a627851a" rel="nofollow" data-download="{"attachment_id":45431329,"asset_id":13362612,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/45431329/download_file?st=MTczMjk4MzU1Miw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="32841145" href="https://independent.academia.edu/GoldsteinByron">Byron Goldstein</a><script data-card-contents-for-user="32841145" type="text/json">{"id":32841145,"first_name":"Byron","last_name":"Goldstein","domain_name":"independent","page_name":"GoldsteinByron","display_name":"Byron Goldstein","profile_url":"https://independent.academia.edu/GoldsteinByron?f_ri=2963","photo":"/images/s65_no_pic.png"}</script></span></span><span class="u-displayInlineBlock InlineList-item-text"> and <span class="u-textDecorationUnderline u-clickable InlineList-item-text js-work-more-authors-13362612">+1</span><div class="hidden js-additional-users-13362612"><div><span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a href="https://lanl.academia.edu/AlanPerelson">Alan Perelson</a></span></div></div></span><script>(function(){ var popoverSettings = { el: $('.js-work-more-authors-13362612'), placement: 'bottom', hide_delay: 200, html: true, content: function(){ return $('.js-additional-users-13362612').html(); 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communication","url":"https://www.academia.edu/Documents/in/Animal_communication?f_ri=2963","nofollow":false},{"id":43774,"name":"Learning","url":"https://www.academia.edu/Documents/in/Learning?f_ri=2963","nofollow":false},{"id":47884,"name":"Biological Sciences","url":"https://www.academia.edu/Documents/in/Biological_Sciences?f_ri=2963"},{"id":80414,"name":"Mathematical Sciences","url":"https://www.academia.edu/Documents/in/Mathematical_Sciences?f_ri=2963"},{"id":151693,"name":"Songbirds","url":"https://www.academia.edu/Documents/in/Songbirds?f_ri=2963"},{"id":343667,"name":"Theoretical Models","url":"https://www.academia.edu/Documents/in/Theoretical_Models?f_ri=2963"},{"id":1208706,"name":"Environment","url":"https://www.academia.edu/Documents/in/Environment?f_ri=2963"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_30753588" data-work_id="30753588" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/30753588/The_effect_of_ureteric_stents_on_urine_flow_Reflux">The effect of ureteric stents on urine flow: Reflux</a></div></div><div class="u-pb4x u-mt3x"></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/30753588" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="e74e3633082ef5886f124a3766282ec2" rel="nofollow" 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type="text/json">{"id":58556947,"first_name":"Linda","last_name":"Cummings","domain_name":"njit","page_name":"LindaCummings","display_name":"Linda Cummings","profile_url":"https://njit.academia.edu/LindaCummings?f_ri=2963","photo":"/images/s65_no_pic.png"}</script></span></span></li><li class="js-paper-rank-work_30753588 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="30753588"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 30753588, container: ".js-paper-rank-work_30753588", }); });</script></li><li class="js-percentile-work_30753588 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 30753588; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_30753588"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_30753588 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="30753588"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 30753588; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=30753588]").text(description); $(".js-view-count-work_30753588").attr('title', description).tooltip(); }); });</script></span><script>$(function() { 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type="text/json">{"id":27521,"name":"Stents","url":"https://www.academia.edu/Documents/in/Stents?f_ri=2963","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="47884" href="https://www.academia.edu/Documents/in/Biological_Sciences">Biological Sciences</a>, <script data-card-contents-for-ri="47884" type="text/json">{"id":47884,"name":"Biological Sciences","url":"https://www.academia.edu/Documents/in/Biological_Sciences?f_ri=2963","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="80414" href="https://www.academia.edu/Documents/in/Mathematical_Sciences">Mathematical Sciences</a><script data-card-contents-for-ri="80414" type="text/json">{"id":80414,"name":"Mathematical Sciences","url":"https://www.academia.edu/Documents/in/Mathematical_Sciences?f_ri=2963","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=30753588]'), work: {"id":30753588,"title":"The effect of ureteric stents on urine flow: Reflux","created_at":"2017-01-04T19:30:22.258-08:00","url":"https://www.academia.edu/30753588/The_effect_of_ureteric_stents_on_urine_flow_Reflux?f_ri=2963","dom_id":"work_30753588","summary":null,"downloadable_attachments":[{"id":51193310,"asset_id":30753588,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":58556947,"first_name":"Linda","last_name":"Cummings","domain_name":"njit","page_name":"LindaCummings","display_name":"Linda Cummings","profile_url":"https://njit.academia.edu/LindaCummings?f_ri=2963","photo":"/images/s65_no_pic.png"}],"research_interests":[{"id":2963,"name":"Mathematical Biology","url":"https://www.academia.edu/Documents/in/Mathematical_Biology?f_ri=2963","nofollow":false},{"id":27521,"name":"Stents","url":"https://www.academia.edu/Documents/in/Stents?f_ri=2963","nofollow":false},{"id":47884,"name":"Biological Sciences","url":"https://www.academia.edu/Documents/in/Biological_Sciences?f_ri=2963","nofollow":false},{"id":80414,"name":"Mathematical Sciences","url":"https://www.academia.edu/Documents/in/Mathematical_Sciences?f_ri=2963","nofollow":false},{"id":213709,"name":"Mathematical","url":"https://www.academia.edu/Documents/in/Mathematical?f_ri=2963"},{"id":2497729,"name":"Ureter","url":"https://www.academia.edu/Documents/in/Ureter?f_ri=2963"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_75367254" data-work_id="75367254" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/75367254/Simulating_the_spread_of_COVID_19_via_a_spatially_resolved_susceptible_exposed_infected_recovered_deceased_SEIRD_model_with_heterogeneous_diffusion">Simulating the spread of COVID-19 via a spatially-resolved susceptible–exposed–infected–recovered–deceased (SEIRD) model with heterogeneous diffusion</a></div></div><div class="u-pb4x u-mt3x"></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/75367254" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="6371c7946e2874c4ea5f02fc45f88bfb" rel="nofollow" data-download="{"attachment_id":83163947,"asset_id":75367254,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/83163947/download_file?st=MTczMjk4MzU1Miw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="135038711" href="https://independent.academia.edu/AlessandroVeneziani">Alessandro Veneziani</a><script data-card-contents-for-user="135038711" 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work-percentile"></span></span><script>$(function () { var workId = 75367254; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_75367254"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_75367254 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="75367254"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 75367254; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=75367254]").text(description); $(".js-view-count-work_75367254").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_75367254").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="75367254"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i> <a class="InlineList-item-text u-positionRelative">12</a> </div><span class="InlineList-item-text u-textTruncate u-pl10x"><a class="InlineList-item-text" data-has-card-for-ri="300" href="https://www.academia.edu/Documents/in/Mathematics">Mathematics</a>, <script data-card-contents-for-ri="300" type="text/json">{"id":300,"name":"Mathematics","url":"https://www.academia.edu/Documents/in/Mathematics?f_ri=2963","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="305" href="https://www.academia.edu/Documents/in/Applied_Mathematics">Applied Mathematics</a>, <script data-card-contents-for-ri="305" type="text/json">{"id":305,"name":"Applied Mathematics","url":"https://www.academia.edu/Documents/in/Applied_Mathematics?f_ri=2963","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="377" href="https://www.academia.edu/Documents/in/Partial_Differential_Equations">Partial Differential Equations</a>, <script data-card-contents-for-ri="377" type="text/json">{"id":377,"name":"Partial Differential Equations","url":"https://www.academia.edu/Documents/in/Partial_Differential_Equations?f_ri=2963","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="422" href="https://www.academia.edu/Documents/in/Computer_Science">Computer Science</a><script data-card-contents-for-ri="422" type="text/json">{"id":422,"name":"Computer Science","url":"https://www.academia.edu/Documents/in/Computer_Science?f_ri=2963","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=75367254]'), work: {"id":75367254,"title":"Simulating the spread of COVID-19 via a spatially-resolved susceptible–exposed–infected–recovered–deceased (SEIRD) model with heterogeneous diffusion","created_at":"2022-04-03T20:34:06.918-07:00","url":"https://www.academia.edu/75367254/Simulating_the_spread_of_COVID_19_via_a_spatially_resolved_susceptible_exposed_infected_recovered_deceased_SEIRD_model_with_heterogeneous_diffusion?f_ri=2963","dom_id":"work_75367254","summary":null,"downloadable_attachments":[{"id":83163947,"asset_id":75367254,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":135038711,"first_name":"Alessandro","last_name":"Veneziani","domain_name":"independent","page_name":"AlessandroVeneziani","display_name":"Alessandro Veneziani","profile_url":"https://independent.academia.edu/AlessandroVeneziani?f_ri=2963","photo":"https://gravatar.com/avatar/b6a2f965b3ad3f8a77c1fae18566a28b?s=65"}],"research_interests":[{"id":300,"name":"Mathematics","url":"https://www.academia.edu/Documents/in/Mathematics?f_ri=2963","nofollow":false},{"id":305,"name":"Applied Mathematics","url":"https://www.academia.edu/Documents/in/Applied_Mathematics?f_ri=2963","nofollow":false},{"id":377,"name":"Partial Differential Equations","url":"https://www.academia.edu/Documents/in/Partial_Differential_Equations?f_ri=2963","nofollow":false},{"id":422,"name":"Computer Science","url":"https://www.academia.edu/Documents/in/Computer_Science?f_ri=2963","nofollow":false},{"id":498,"name":"Physics","url":"https://www.academia.edu/Documents/in/Physics?f_ri=2963"},{"id":2963,"name":"Mathematical Biology","url":"https://www.academia.edu/Documents/in/Mathematical_Biology?f_ri=2963"},{"id":7710,"name":"Biology","url":"https://www.academia.edu/Documents/in/Biology?f_ri=2963"},{"id":13398,"name":"Mathematical Epidemiology","url":"https://www.academia.edu/Documents/in/Mathematical_Epidemiology?f_ri=2963"},{"id":16682,"name":"Mathematical Modelling","url":"https://www.academia.edu/Documents/in/Mathematical_Modelling?f_ri=2963"},{"id":26327,"name":"Medicine","url":"https://www.academia.edu/Documents/in/Medicine?f_ri=2963"},{"id":214192,"name":"Compartmental Models","url":"https://www.academia.edu/Documents/in/Compartmental_Models?f_ri=2963"},{"id":1133506,"name":"Epidemic Model","url":"https://www.academia.edu/Documents/in/Epidemic_Model?f_ri=2963"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_40351361" data-work_id="40351361" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/40351361/2017_Pub_Med_Mathematical_Models_of_College_Myopia_Greene_Grill_Medina">2017 Pub Med, "Mathematical Models of College Myopia", Greene, Grill, Medina</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">Experimental design phase of a pilot study at Annapolis is described, using reading glasses, +1.5 D. to +3.0 D. to alleviate college myopia. College students often become 1.0 to 2.0 diopters more myopic, so reading glasses were explored... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_40351361" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Experimental design phase of a pilot study at Annapolis is described, using reading glasses, +1.5 D. to +3.0 D. to alleviate college myopia. College students often become 1.0 to 2.0 diopters more myopic, so reading glasses were explored to partially cancel the effects of the study environment. N = 25 different sets of (+)Add lenses are evaluated, for required adjustment period and reading comfort. Three computer models are developed to predict refraction versus time. Basic control system equations predict exponential myopia shift of refractive state R(t) with time constant t0 = 100 days. Linear, exponential and Gompertz computer results are compared calculating refraction R(t) during the college years, showing correlation coefficients |r| = 0.96 to 0.97, accurate +/−0.31 D. over a 14 year interval. Typical college myopia rate is −0.3 to −0.4 D/yr. Reading glasses may be a simple, practical solution to stabilize college myopia.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/40351361" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="e050771c1690edeae499a4d4cf5463e8" rel="nofollow" data-download="{"attachment_id":60596849,"asset_id":40351361,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/60596849/download_file?st=MTczMjk4MzU1Miw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="33849221" href="https://greene.academia.edu/PeterGreene">Peter R Greene</a><script data-card-contents-for-user="33849221" type="text/json">{"id":33849221,"first_name":"Peter","last_name":"Greene","domain_name":"greene","page_name":"PeterGreene","display_name":"Peter R Greene","profile_url":"https://greene.academia.edu/PeterGreene?f_ri=2963","photo":"https://0.academia-photos.com/33849221/9961656/11108775/s65_peter.greene.jpg"}</script></span></span></li><li class="js-paper-rank-work_40351361 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="40351361"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 40351361, container: ".js-paper-rank-work_40351361", }); });</script></li><li class="js-percentile-work_40351361 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 40351361; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_40351361"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_40351361 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="40351361"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 40351361; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=40351361]").text(description); $(".js-view-count-work_40351361").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_40351361").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="40351361"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i> <a class="InlineList-item-text u-positionRelative">3</a> </div><span class="InlineList-item-text u-textTruncate u-pl9x"><a class="InlineList-item-text" data-has-card-for-ri="68" href="https://www.academia.edu/Documents/in/Bioengineering">Bioengineering</a>, <script data-card-contents-for-ri="68" type="text/json">{"id":68,"name":"Bioengineering","url":"https://www.academia.edu/Documents/in/Bioengineering?f_ri=2963","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="2963" href="https://www.academia.edu/Documents/in/Mathematical_Biology">Mathematical Biology</a>, <script data-card-contents-for-ri="2963" type="text/json">{"id":2963,"name":"Mathematical Biology","url":"https://www.academia.edu/Documents/in/Mathematical_Biology?f_ri=2963","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="11284" href="https://www.academia.edu/Documents/in/Myopia">Myopia</a><script data-card-contents-for-ri="11284" type="text/json">{"id":11284,"name":"Myopia","url":"https://www.academia.edu/Documents/in/Myopia?f_ri=2963","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=40351361]'), work: {"id":40351361,"title":"2017 Pub Med, \"Mathematical Models of College Myopia\", Greene, Grill, Medina","created_at":"2019-09-14T17:37:46.359-07:00","url":"https://www.academia.edu/40351361/2017_Pub_Med_Mathematical_Models_of_College_Myopia_Greene_Grill_Medina?f_ri=2963","dom_id":"work_40351361","summary":"Experimental design phase of a pilot study at Annapolis is described, using reading glasses, +1.5 D. to +3.0 D. to alleviate college myopia. College students often become 1.0 to 2.0 diopters more myopic, so reading glasses were explored to partially cancel the effects of the study environment. N = 25 different sets of (+)Add lenses are evaluated, for required adjustment period and reading comfort. Three computer models are developed to predict refraction versus time. Basic control system equations predict exponential myopia shift of refractive state R(t) with time constant t0 = 100 days. Linear, exponential and Gompertz computer results are compared calculating refraction R(t) during the college years, showing correlation coefficients |r| = 0.96 to 0.97, accurate +/−0.31 D. over a 14 year interval. Typical college myopia rate is −0.3 to −0.4 D/yr. Reading glasses may be a simple, practical solution to stabilize college myopia.","downloadable_attachments":[{"id":60596849,"asset_id":40351361,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":33849221,"first_name":"Peter","last_name":"Greene","domain_name":"greene","page_name":"PeterGreene","display_name":"Peter R Greene","profile_url":"https://greene.academia.edu/PeterGreene?f_ri=2963","photo":"https://0.academia-photos.com/33849221/9961656/11108775/s65_peter.greene.jpg"}],"research_interests":[{"id":68,"name":"Bioengineering","url":"https://www.academia.edu/Documents/in/Bioengineering?f_ri=2963","nofollow":false},{"id":2963,"name":"Mathematical Biology","url":"https://www.academia.edu/Documents/in/Mathematical_Biology?f_ri=2963","nofollow":false},{"id":11284,"name":"Myopia","url":"https://www.academia.edu/Documents/in/Myopia?f_ri=2963","nofollow":false}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_8753641" data-work_id="8753641" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/8753641/A_New_Approach_to_Generalized_Fractional_Derivatives">A New Approach to Generalized Fractional Derivatives</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">The author \mbox{(Appl. Math. Comput. 218(3):860-865, 2011)} introduced a new fractional integral operator given by, \[ \big({}^\rho \mathcal{I}^\alpha_{a+}f\big)(x) = \frac{\rho^{1- \alpha }}{\Gamma({\alpha})} \int^x_a... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_8753641" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">The author \mbox{(Appl. Math. Comput. 218(3):860-865, 2011)} introduced a new fractional integral operator given by, <br />\[ <br />\big({}^\rho \mathcal{I}^\alpha_{a+}f\big)(x) = \frac{\rho^{1- \alpha }}{\Gamma({\alpha})} \int^x_a \frac{\tau^{\rho-1} f(\tau) }{(x^\rho - \tau^\rho)^{1-\alpha}}\, d\tau, <br />\] <br />which generalizes the well-known Riemann-Liouville and the Hadamard fractional integrals. In this paper we present a new fractional derivative which generalizes the familiar Riemann-Liouville and the Hadamard fractional derivatives to a single form. We also obtain two representations of the generalized derivative in question. An example is given to illustrate the results.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/8753641" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="f1a3a69301fe1eabb6d8e035f11debe0" rel="nofollow" data-download="{"attachment_id":35108235,"asset_id":8753641,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/35108235/download_file?st=MTczMjk4MzU1Miw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="1193935" href="https://indianatech.academia.edu/UditaKatugampola">Udita Katugampola</a><script data-card-contents-for-user="1193935" type="text/json">{"id":1193935,"first_name":"Udita","last_name":"Katugampola","domain_name":"indianatech","page_name":"UditaKatugampola","display_name":"Udita Katugampola","profile_url":"https://indianatech.academia.edu/UditaKatugampola?f_ri=2963","photo":"https://0.academia-photos.com/1193935/427459/18264398/s65_udita.katugampola.jpg"}</script></span></span></li><li class="js-paper-rank-work_8753641 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="8753641"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 8753641, container: ".js-paper-rank-work_8753641", }); 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$(".js-view-count[data-work-id=8753641]").text(description); $(".js-view-count-work_8753641").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_8753641").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="8753641"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i> <a class="InlineList-item-text u-positionRelative">4</a> </div><span class="InlineList-item-text u-textTruncate u-pl9x"><a class="InlineList-item-text" data-has-card-for-ri="2963" href="https://www.academia.edu/Documents/in/Mathematical_Biology">Mathematical Biology</a>, <script data-card-contents-for-ri="2963" type="text/json">{"id":2963,"name":"Mathematical Biology","url":"https://www.academia.edu/Documents/in/Mathematical_Biology?f_ri=2963","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="5436" href="https://www.academia.edu/Documents/in/Combinatorics">Combinatorics</a>, <script data-card-contents-for-ri="5436" type="text/json">{"id":5436,"name":"Combinatorics","url":"https://www.academia.edu/Documents/in/Combinatorics?f_ri=2963","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="16682" href="https://www.academia.edu/Documents/in/Mathematical_Modelling">Mathematical Modelling</a>, <script data-card-contents-for-ri="16682" type="text/json">{"id":16682,"name":"Mathematical Modelling","url":"https://www.academia.edu/Documents/in/Mathematical_Modelling?f_ri=2963","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="56624" href="https://www.academia.edu/Documents/in/Fractional_calculus_and_its_applications">Fractional calculus and its applications</a><script data-card-contents-for-ri="56624" type="text/json">{"id":56624,"name":"Fractional calculus and its applications","url":"https://www.academia.edu/Documents/in/Fractional_calculus_and_its_applications?f_ri=2963","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=8753641]'), work: {"id":8753641,"title":"A New Approach to Generalized Fractional Derivatives","created_at":"2014-10-13T06:21:43.183-07:00","url":"https://www.academia.edu/8753641/A_New_Approach_to_Generalized_Fractional_Derivatives?f_ri=2963","dom_id":"work_8753641","summary":"The author \\mbox{(Appl. Math. Comput. 218(3):860-865, 2011)} introduced a new fractional integral operator given by, \r\n\\[\r\n\\big({}^\\rho \\mathcal{I}^\\alpha_{a+}f\\big)(x) = \\frac{\\rho^{1- \\alpha }}{\\Gamma({\\alpha})} \\int^x_a \\frac{\\tau^{\\rho-1} f(\\tau) }{(x^\\rho - \\tau^\\rho)^{1-\\alpha}}\\, d\\tau, \r\n\\] \r\nwhich generalizes the well-known Riemann-Liouville and the Hadamard fractional integrals. In this paper we present a new fractional derivative which generalizes the familiar Riemann-Liouville and the Hadamard fractional derivatives to a single form. We also obtain two representations of the generalized derivative in question. An example is given to illustrate the results.","downloadable_attachments":[{"id":35108235,"asset_id":8753641,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":1193935,"first_name":"Udita","last_name":"Katugampola","domain_name":"indianatech","page_name":"UditaKatugampola","display_name":"Udita Katugampola","profile_url":"https://indianatech.academia.edu/UditaKatugampola?f_ri=2963","photo":"https://0.academia-photos.com/1193935/427459/18264398/s65_udita.katugampola.jpg"}],"research_interests":[{"id":2963,"name":"Mathematical Biology","url":"https://www.academia.edu/Documents/in/Mathematical_Biology?f_ri=2963","nofollow":false},{"id":5436,"name":"Combinatorics","url":"https://www.academia.edu/Documents/in/Combinatorics?f_ri=2963","nofollow":false},{"id":16682,"name":"Mathematical Modelling","url":"https://www.academia.edu/Documents/in/Mathematical_Modelling?f_ri=2963","nofollow":false},{"id":56624,"name":"Fractional calculus and its applications","url":"https://www.academia.edu/Documents/in/Fractional_calculus_and_its_applications?f_ri=2963","nofollow":false}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_27987575" data-work_id="27987575" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/27987575/Temperature_dependent_predator_prey_mite_ecosystem_on_apple_tree_foliage">Temperature-dependent predator-prey mite ecosystem on apple tree foliage</a></div></div><div class="u-pb4x u-mt3x"></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/27987575" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="8ed8b250f43c36b56573f507c0d3772a" rel="nofollow" data-download="{"attachment_id":48290829,"asset_id":27987575,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/48290829/download_file?st=MTczMjk4MzU1Miw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="52474113" href="https://independent.academia.edu/DWollkind">D. 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href="https://www.academia.edu/36045131/Protective_effect_of_garlic_extract_against_maternal_and_fetal_cerebellar_damage_induced_by_lead_administration_during_pregnancy_in_rats">Protective effect of garlic extract against maternal and fetal cerebellar damage induced by lead administration during pregnancy in rats</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">BACKGROUND: In spite of its indusrial usefulness and varied daily uses, lead (Pb) pollution is a widespread ecological problem that faces the humans in the 21th century. Pb was found to produces a wide range of toxic effects including... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_36045131" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">BACKGROUND:<br />In spite of its indusrial usefulness and varied daily uses, lead (Pb) pollution is a widespread ecological problem that faces the humans in the 21th century. Pb was found to produces a wide range of toxic effects including neurotoxicity especially to the developing and young offspring. Recently, the utilization of herbal plants has received a significant attention where there has been rising awareness in their therapeutic use; among these is the garlic.<br />AIM OF THE WORK:<br />In light of the above, the current study is designed experimentally in female pregnant rats in order to investigate the beneficial role of garlic extract in the protection from the maternal and fetal cerebellar damage that produced by administration of different doses of Pb during pregnancy.<br />MATERIALS AND METHODS:<br />Positively pregnant female rats were divided into five groups; one control group, two Pb-treated groups (exposed to 160 and 320 mg/kg b.wt. of Pb, respectively) and two groups treated with both Pb and garlic (exposed to Pb as previous groups together with 250 mg/ kg b.wt. /day of garlic extract). Treatments started from day 1 till day 20 of pregnancy, where the mother rats of different experimental groups were sacrified to obtain the fetuses. Pb level in the maternal nd fetal blood and cerebellum was estimated by spectrophotometry. Specimens of the cerebellum of different mother and fetal groups were processed to histological and immunohistochemical staining for microscopic examination.<br />RESULTS:<br />The results showed that administration of Pb to pregnant rats resulted in a dose-dependent toxicity for both mothers and fetuses in the form of decrease of maternal weight gain, placental and fetal weights, brain weight and diminished fetal growth parameters, which were prominent in rat's group treated with larger dose of Pb. In Pb-treated rats, Pb level in blood and cerebellum was high when compared to the control. The histopathological examination of the cerebellum of treated dams and fetuses showed marked alterations mainly in the form of Purkinje cell degeneration and lack of deveopmet of fetal cerebellum. Co-treatment of garlic extract along with Pb resulted in a significant decrease in Pb levels as compared with those treated with Pb alone with improvement of the histopathological changes.<br />CONCLUSIONS:<br />This study was useful in evaluating the hazardous effects of uncontrolled use of Pb in general and in assessing the developmental and neurotoxicity of fetuses due to exposure during pregnancy in particular. Co-administration of garlic has beneficial effects in amelioration of Pb-induced neurotoxicity and reversing the histopathological changes of the cerebellum of mother rats and fetuses.<br />KEYWORDS:<br />garlic; glial fibrillary acidic protein; lead; purkinje cells</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/36045131" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="165cc29bc8e599bbfe3e61541d9d8266" rel="nofollow" data-download="{"attachment_id":55931132,"asset_id":36045131,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/55931132/download_file?st=MTczMjk4MzU1Miw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="21972122" href="https://kau.academia.edu/HMustafa">Prof. Hesham N Mustafa</a><script data-card-contents-for-user="21972122" type="text/json">{"id":21972122,"first_name":"Prof. Hesham","last_name":"Mustafa","domain_name":"kau","page_name":"HMustafa","display_name":"Prof. Hesham N Mustafa","profile_url":"https://kau.academia.edu/HMustafa?f_ri=2963","photo":"https://0.academia-photos.com/21972122/6015802/7471085/s65_hesham.mustafa.jpg"}</script></span></span></li><li class="js-paper-rank-work_36045131 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="36045131"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 36045131, container: ".js-paper-rank-work_36045131", }); 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Pb was found to produces a wide range of toxic effects including neurotoxicity especially to the developing and young offspring. Recently, the utilization of herbal plants has received a significant attention where there has been rising awareness in their therapeutic use; among these is the garlic.\nAIM OF THE WORK:\nIn light of the above, the current study is designed experimentally in female pregnant rats in order to investigate the beneficial role of garlic extract in the protection from the maternal and fetal cerebellar damage that produced by administration of different doses of Pb during pregnancy.\nMATERIALS AND METHODS:\nPositively pregnant female rats were divided into five groups; one control group, two Pb-treated groups (exposed to 160 and 320 mg/kg b.wt. of Pb, respectively) and two groups treated with both Pb and garlic (exposed to Pb as previous groups together with 250 mg/ kg b.wt. /day of garlic extract). Treatments started from day 1 till day 20 of pregnancy, where the mother rats of different experimental groups were sacrified to obtain the fetuses. Pb level in the maternal nd fetal blood and cerebellum was estimated by spectrophotometry. Specimens of the cerebellum of different mother and fetal groups were processed to histological and immunohistochemical staining for microscopic examination.\nRESULTS:\nThe results showed that administration of Pb to pregnant rats resulted in a dose-dependent toxicity for both mothers and fetuses in the form of decrease of maternal weight gain, placental and fetal weights, brain weight and diminished fetal growth parameters, which were prominent in rat's group treated with larger dose of Pb. In Pb-treated rats, Pb level in blood and cerebellum was high when compared to the control. The histopathological examination of the cerebellum of treated dams and fetuses showed marked alterations mainly in the form of Purkinje cell degeneration and lack of deveopmet of fetal cerebellum. Co-treatment of garlic extract along with Pb resulted in a significant decrease in Pb levels as compared with those treated with Pb alone with improvement of the histopathological changes.\nCONCLUSIONS:\nThis study was useful in evaluating the hazardous effects of uncontrolled use of Pb in general and in assessing the developmental and neurotoxicity of fetuses due to exposure during pregnancy in particular. Co-administration of garlic has beneficial effects in amelioration of Pb-induced neurotoxicity and reversing the histopathological changes of the cerebellum of mother rats and fetuses.\nKEYWORDS:\ngarlic; glial fibrillary acidic protein; lead; purkinje cells","downloadable_attachments":[{"id":55931132,"asset_id":36045131,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":21972122,"first_name":"Prof. Hesham","last_name":"Mustafa","domain_name":"kau","page_name":"HMustafa","display_name":"Prof. Hesham N Mustafa","profile_url":"https://kau.academia.edu/HMustafa?f_ri=2963","photo":"https://0.academia-photos.com/21972122/6015802/7471085/s65_hesham.mustafa.jpg"}],"research_interests":[{"id":143,"name":"Comparative Anatomy","url":"https://www.academia.edu/Documents/in/Comparative_Anatomy?f_ri=2963","nofollow":false},{"id":144,"name":"Human Anatomy 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This review of existing literature makes... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_30857399" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Sickle cell disorder (SCD) is a chronic illness that in England disproportionately affects marginalized ethnic groups, but has yet to feature extensively within educational or disability research. This review of existing literature makes the case for a sustained developmental research programme around SCD, disability and education. There are potentially life‐saving decisions that could be made by teachers in caring for</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/30857399" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="324b7f7200bb7d7fc009ca4ae818ad06" rel="nofollow" data-download="{"attachment_id":51283866,"asset_id":30857399,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/51283866/download_file?st=MTczMjk4MzU1Miw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="58729460" href="https://independent.academia.edu/KarlAtkin">Karl Atkin</a><script data-card-contents-for-user="58729460" type="text/json">{"id":58729460,"first_name":"Karl","last_name":"Atkin","domain_name":"independent","page_name":"KarlAtkin","display_name":"Karl Atkin","profile_url":"https://independent.academia.edu/KarlAtkin?f_ri=2963","photo":"/images/s65_no_pic.png"}</script></span></span></li><li class="js-paper-rank-work_30857399 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="30857399"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 30857399, container: ".js-paper-rank-work_30857399", }); 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Fefferman","profile_url":"https://rutgers.academia.edu/NinaHFefferman?f_ri=2963","photo":"https://0.academia-photos.com/42174/13686/12804/s65_nina_h..fefferman.jpg"}],"research_interests":[{"id":1088,"name":"Infectious disease epidemiology","url":"https://www.academia.edu/Documents/in/Infectious_disease_epidemiology?f_ri=2963","nofollow":false},{"id":1089,"name":"Social epidemiology","url":"https://www.academia.edu/Documents/in/Social_epidemiology?f_ri=2963","nofollow":false},{"id":2963,"name":"Mathematical Biology","url":"https://www.academia.edu/Documents/in/Mathematical_Biology?f_ri=2963","nofollow":false},{"id":9066,"name":"Social insects","url":"https://www.academia.edu/Documents/in/Social_insects?f_ri=2963","nofollow":false}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_4232110" data-work_id="4232110" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/4232110/Global_stability_in_some_ecological_models_of_commensalism_between_two_species">Global stability in some ecological models of commensalism between two species</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">"""Lyapunov functions for some mathematical models of ecological commensalism between two species are introduced. Global stability of the unique positive equilibrium is thereby established. Keyword: Models of ecological commensalism;... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_4232110" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">"""Lyapunov functions for some mathematical models of ecological commensalism between two species are introduced. Global stability of the unique positive equilibrium is thereby established. <br /> <br />Keyword: Models of ecological commensalism; Lyapunov's asymptotic stability theorem; Global stability"""</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/4232110" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="be06a4fb2d20f749c32302a52d9a7862" rel="nofollow" data-download="{"attachment_id":31745622,"asset_id":4232110,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/31745622/download_file?st=MTczMjk4MzU1Miw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="2121744" href="https://independent.academia.edu/leoncruz82">Cruz Vargas-De-León</a><script data-card-contents-for-user="2121744" type="text/json">{"id":2121744,"first_name":"Cruz","last_name":"Vargas-De-León","domain_name":"independent","page_name":"leoncruz82","display_name":"Cruz Vargas-De-León","profile_url":"https://independent.academia.edu/leoncruz82?f_ri=2963","photo":"https://0.academia-photos.com/2121744/688983/19867024/s65_cruz.vargas-de-le_n.png"}</script></span></span></li><li class="js-paper-rank-work_4232110 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="4232110"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 4232110, container: ".js-paper-rank-work_4232110", }); 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$(".js-view-count[data-work-id=4232110]").text(description); $(".js-view-count-work_4232110").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_4232110").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="4232110"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i> <a class="InlineList-item-text u-positionRelative">12</a> </div><span class="InlineList-item-text u-textTruncate u-pl10x"><a class="InlineList-item-text" data-has-card-for-ri="2963" href="https://www.academia.edu/Documents/in/Mathematical_Biology">Mathematical Biology</a>, <script data-card-contents-for-ri="2963" type="text/json">{"id":2963,"name":"Mathematical Biology","url":"https://www.academia.edu/Documents/in/Mathematical_Biology?f_ri=2963","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="5590" href="https://www.academia.edu/Documents/in/Biomathematics">Biomathematics</a>, <script data-card-contents-for-ri="5590" type="text/json">{"id":5590,"name":"Biomathematics","url":"https://www.academia.edu/Documents/in/Biomathematics?f_ri=2963","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="15396" href="https://www.academia.edu/Documents/in/Mathematical_Ecology">Mathematical Ecology</a>, <script data-card-contents-for-ri="15396" type="text/json">{"id":15396,"name":"Mathematical Ecology","url":"https://www.academia.edu/Documents/in/Mathematical_Ecology?f_ri=2963","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="16521" href="https://www.academia.edu/Documents/in/Mathematical_biology_Mathematics_">Mathematical biology (Mathematics)</a><script data-card-contents-for-ri="16521" type="text/json">{"id":16521,"name":"Mathematical biology (Mathematics)","url":"https://www.academia.edu/Documents/in/Mathematical_biology_Mathematics_?f_ri=2963","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=4232110]'), work: {"id":4232110,"title":"Global stability in some ecological models of commensalism between two species","created_at":"2013-08-13T09:14:11.516-07:00","url":"https://www.academia.edu/4232110/Global_stability_in_some_ecological_models_of_commensalism_between_two_species?f_ri=2963","dom_id":"work_4232110","summary":"\"\"\"Lyapunov functions for some mathematical models of ecological commensalism between two species are introduced. Global stability of the unique positive equilibrium is thereby established.\r\n\r\nKeyword: Models of ecological commensalism; Lyapunov's asymptotic stability theorem; Global stability\"\"\"","downloadable_attachments":[{"id":31745622,"asset_id":4232110,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":2121744,"first_name":"Cruz","last_name":"Vargas-De-León","domain_name":"independent","page_name":"leoncruz82","display_name":"Cruz Vargas-De-León","profile_url":"https://independent.academia.edu/leoncruz82?f_ri=2963","photo":"https://0.academia-photos.com/2121744/688983/19867024/s65_cruz.vargas-de-le_n.png"}],"research_interests":[{"id":2963,"name":"Mathematical Biology","url":"https://www.academia.edu/Documents/in/Mathematical_Biology?f_ri=2963","nofollow":false},{"id":5590,"name":"Biomathematics","url":"https://www.academia.edu/Documents/in/Biomathematics?f_ri=2963","nofollow":false},{"id":15396,"name":"Mathematical Ecology","url":"https://www.academia.edu/Documents/in/Mathematical_Ecology?f_ri=2963","nofollow":false},{"id":16521,"name":"Mathematical biology (Mathematics)","url":"https://www.academia.edu/Documents/in/Mathematical_biology_Mathematics_?f_ri=2963","nofollow":false},{"id":67038,"name":"Lyapunov Stability Theory","url":"https://www.academia.edu/Documents/in/Lyapunov_Stability_Theory?f_ri=2963"},{"id":103214,"name":"Lotka Volterra","url":"https://www.academia.edu/Documents/in/Lotka_Volterra?f_ri=2963"},{"id":141894,"name":"Lotka-Volterra","url":"https://www.academia.edu/Documents/in/Lotka-Volterra?f_ri=2963"},{"id":420906,"name":"Lyapunov functions","url":"https://www.academia.edu/Documents/in/Lyapunov_functions?f_ri=2963"},{"id":543165,"name":"direct Lyapunov method","url":"https://www.academia.edu/Documents/in/direct_Lyapunov_method?f_ri=2963"},{"id":543171,"name":"Lyapunov function","url":"https://www.academia.edu/Documents/in/Lyapunov_function?f_ri=2963"},{"id":543197,"name":"Second Method of Lyapunov","url":"https://www.academia.edu/Documents/in/Second_Method_of_Lyapunov?f_ri=2963"},{"id":544875,"name":"Lyapunov techniques","url":"https://www.academia.edu/Documents/in/Lyapunov_techniques?f_ri=2963"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_26166123" data-work_id="26166123" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/26166123/Richard_Levins">Richard Levins</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">Richard "Dick" Levins (June 1, 1930 – January 19, 2016) was an ex-tropical farmer turned ecologist, a population geneticist, biomathematician, mathematical ecologist, and philosopher of science who had researched diversity in human... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_26166123" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Richard "Dick" Levins (June 1, 1930 – January 19, 2016) was an ex-tropical farmer turned ecologist, a population geneticist, biomathematician, mathematical ecologist, and philosopher of science who had researched diversity in human populations. Until his death, Levins was a university professor at the Harvard T.H. Chan School of Public Health and a long-time political activist. He was best known for his work on evolution and complexity in changing environments and on metapopulations.<br /><br />Levins' writing and speaking is extremely condensed. This, combined with his Marxism, has made his analyses less well-known than those of some other ecologists and evolutionists who were adept at popularization. One story of his Chicago years is that, in order to understand his lectures, his graduate students each needed to attend Levins' courses three times: the first time to acclimate themselves to the speed of his delivery and the difficulty of his mathematics; the second to get the basic ideas down; and the third to pick up his subtleties and profundities.<br /><br />Levins also had written on philosophical issues in biology and modelling. One of his influential articles is "The Strategy of Model Building in Population Biology". He has influenced a number of contemporary philosophers of biology.[citation needed] Levins often boasted publicly that he was a 'fourth generation Marxist' and often had said that the methodology in his Evolution in Changing Environments was based upon the introduction to Marx's Grundrisse, the rough draft of Das Kapital. With the evolutionary geneticist Richard Lewontin (1929–), Levins had written a number of articles on methodology, philosophy, and social implications of biology. Many of these are collected in The Dialectical Biologist. In 2007, the duo published a second thematic collection of essays titled Biology Under the Influence: Dialectical Essays on Ecology, Agriculture, and Health.<br /><br />Also with Lewontin, Levins had co-authored a number of satirical articles criticizing sociobiology, systems modeling in ecology, and other topics under the pseudonym Isadore Nabi. Levins and Lewontin managed to place a ridiculous biography of Nabi and his achievements in American Men of Science, thereby showing how little editorial care and fact-checking work went on in that respected reference work.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/26166123" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="87727b037c73eba4bde9bd86df4e30e1" rel="nofollow" data-download="{"attachment_id":46493733,"asset_id":26166123,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/46493733/download_file?st=MTczMjk4MzU1Miw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="94942" href="https://hsph-harvard.academia.edu/MaynardClark">Maynard S Clark</a><script data-card-contents-for-user="94942" type="text/json">{"id":94942,"first_name":"Maynard","last_name":"Clark","domain_name":"hsph-harvard","page_name":"MaynardClark","display_name":"Maynard S Clark","profile_url":"https://hsph-harvard.academia.edu/MaynardClark?f_ri=2963","photo":"https://0.academia-photos.com/94942/26308/24263/s65_maynard.clark.jpeg"}</script></span></span></li><li class="js-paper-rank-work_26166123 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="26166123"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 26166123, container: ".js-paper-rank-work_26166123", }); 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$(".js-view-count[data-work-id=26166123]").text(description); $(".js-view-count-work_26166123").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_26166123").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="26166123"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i> <a class="InlineList-item-text u-positionRelative">14</a> </div><span class="InlineList-item-text u-textTruncate u-pl10x"><a class="InlineList-item-text" data-has-card-for-ri="1698" href="https://www.academia.edu/Documents/in/Marxism">Marxism</a>, <script data-card-contents-for-ri="1698" type="text/json">{"id":1698,"name":"Marxism","url":"https://www.academia.edu/Documents/in/Marxism?f_ri=2963","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="2963" href="https://www.academia.edu/Documents/in/Mathematical_Biology">Mathematical Biology</a>, <script data-card-contents-for-ri="2963" type="text/json">{"id":2963,"name":"Mathematical Biology","url":"https://www.academia.edu/Documents/in/Mathematical_Biology?f_ri=2963","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="10806" href="https://www.academia.edu/Documents/in/Marxist_theory">Marxist theory</a>, <script data-card-contents-for-ri="10806" type="text/json">{"id":10806,"name":"Marxist theory","url":"https://www.academia.edu/Documents/in/Marxist_theory?f_ri=2963","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="16521" href="https://www.academia.edu/Documents/in/Mathematical_biology_Mathematics_">Mathematical biology (Mathematics)</a><script data-card-contents-for-ri="16521" type="text/json">{"id":16521,"name":"Mathematical biology (Mathematics)","url":"https://www.academia.edu/Documents/in/Mathematical_biology_Mathematics_?f_ri=2963","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=26166123]'), work: {"id":26166123,"title":"Richard Levins","created_at":"2016-06-14T19:52:22.321-07:00","url":"https://www.academia.edu/26166123/Richard_Levins?f_ri=2963","dom_id":"work_26166123","summary":"Richard \"Dick\" Levins (June 1, 1930 – January 19, 2016) was an ex-tropical farmer turned ecologist, a population geneticist, biomathematician, mathematical ecologist, and philosopher of science who had researched diversity in human populations. Until his death, Levins was a university professor at the Harvard T.H. Chan School of Public Health and a long-time political activist. He was best known for his work on evolution and complexity in changing environments and on metapopulations.\n\nLevins' writing and speaking is extremely condensed. This, combined with his Marxism, has made his analyses less well-known than those of some other ecologists and evolutionists who were adept at popularization. One story of his Chicago years is that, in order to understand his lectures, his graduate students each needed to attend Levins' courses three times: the first time to acclimate themselves to the speed of his delivery and the difficulty of his mathematics; the second to get the basic ideas down; and the third to pick up his subtleties and profundities.\n\nLevins also had written on philosophical issues in biology and modelling. One of his influential articles is \"The Strategy of Model Building in Population Biology\". He has influenced a number of contemporary philosophers of biology.[citation needed] Levins often boasted publicly that he was a 'fourth generation Marxist' and often had said that the methodology in his Evolution in Changing Environments was based upon the introduction to Marx's Grundrisse, the rough draft of Das Kapital. With the evolutionary geneticist Richard Lewontin (1929–), Levins had written a number of articles on methodology, philosophy, and social implications of biology. Many of these are collected in The Dialectical Biologist. In 2007, the duo published a second thematic collection of essays titled Biology Under the Influence: Dialectical Essays on Ecology, Agriculture, and Health.\n\nAlso with Lewontin, Levins had co-authored a number of satirical articles criticizing sociobiology, systems modeling in ecology, and other topics under the pseudonym Isadore Nabi. Levins and Lewontin managed to place a ridiculous biography of Nabi and his achievements in American Men of Science, thereby showing how little editorial care and fact-checking work went on in that respected reference work.","downloadable_attachments":[{"id":46493733,"asset_id":26166123,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":94942,"first_name":"Maynard","last_name":"Clark","domain_name":"hsph-harvard","page_name":"MaynardClark","display_name":"Maynard S Clark","profile_url":"https://hsph-harvard.academia.edu/MaynardClark?f_ri=2963","photo":"https://0.academia-photos.com/94942/26308/24263/s65_maynard.clark.jpeg"}],"research_interests":[{"id":1698,"name":"Marxism","url":"https://www.academia.edu/Documents/in/Marxism?f_ri=2963","nofollow":false},{"id":2963,"name":"Mathematical Biology","url":"https://www.academia.edu/Documents/in/Mathematical_Biology?f_ri=2963","nofollow":false},{"id":10806,"name":"Marxist theory","url":"https://www.academia.edu/Documents/in/Marxist_theory?f_ri=2963","nofollow":false},{"id":16521,"name":"Mathematical biology (Mathematics)","url":"https://www.academia.edu/Documents/in/Mathematical_biology_Mathematics_?f_ri=2963","nofollow":false},{"id":19653,"name":"History of Political Activism","url":"https://www.academia.edu/Documents/in/History_of_Political_Activism?f_ri=2963"},{"id":43923,"name":"Social Movements and Political Action","url":"https://www.academia.edu/Documents/in/Social_Movements_and_Political_Action?f_ri=2963"},{"id":70724,"name":"Neo-Marxism","url":"https://www.academia.edu/Documents/in/Neo-Marxism?f_ri=2963"},{"id":101663,"name":"Mathematical Modelling of Biological Systems","url":"https://www.academia.edu/Documents/in/Mathematical_Modelling_of_Biological_Systems?f_ri=2963"},{"id":135891,"name":"Political activism","url":"https://www.academia.edu/Documents/in/Political_activism?f_ri=2963"},{"id":182165,"name":"Cultural and Political Activism of the 1960s and 1970s","url":"https://www.academia.edu/Documents/in/Cultural_and_Political_Activism_of_the_1960s_and_1970s?f_ri=2963"},{"id":240473,"name":"Mathematical Modelling in Biology, Ecology \u0026 Epidemics","url":"https://www.academia.edu/Documents/in/Mathematical_Modelling_in_Biology_Ecology_and_Epidemics?f_ri=2963"},{"id":842794,"name":"Applied Mathematics and Mathematical Biology","url":"https://www.academia.edu/Documents/in/Applied_Mathematics_and_Mathematical_Biology?f_ri=2963"},{"id":2480258,"name":"Harvard School of Public Health","url":"https://www.academia.edu/Documents/in/Harvard_School_of_Public_Health?f_ri=2963"},{"id":2480259,"name":"Harvard T.H. Chan School of Public Health","url":"https://www.academia.edu/Documents/in/Harvard_T.H._Chan_School_of_Public_Health?f_ri=2963"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_72861143 coauthored" data-work_id="72861143" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/72861143/Analysis_and_optimal_control_of_an_HIV_model_based_on_CD4_count">Analysis and optimal control of an HIV model based on CD4 count</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">A non-linear mechanistic model for the transmission dynamics of HIV/AIDS is developed and analyzed. The model classified the infected individuals based on their CD4 count level. Furthermore, education campaign, voluntary testing and... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_72861143" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">A non-linear mechanistic model for the transmission dynamics of HIV/AIDS is developed and analyzed. The model classified the infected individuals based on their CD4 count level. Furthermore, education campaign, voluntary testing and counseling and treatment are considered as intervention strategies for controlling the disease. The analysis of the model reveals that imperfect public enlightenment campaign can induce backward bifurcation. It has been shown that when public enlightenment campaign is [Formula: see text] effective, the disease free equilibrium is globally asymptotically stable for [Formula: see text], whereas for [Formula: see text] the global stability of the endemic equilibrium is proved only in a special case. Time dependent controls of the intervention strategies mentioned above are incorporated into the model and the optimal control strategies with minimal implementation cost are identified. In addition, cost effectiveness analysis in the form of incremental cost effectiveness ratio is carried-out to identify the most cost effective strategies. The results suggest that out of the three non dominated strategies, the strategy of educating the newly entrants only or combination of newly entrants and susceptible individuals is very cost effective using per capita GDP of Nigeria as at 2018. However, the choice of which strategy to implement depends on budgetary allocation and resource availability.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/72861143" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="132556717" href="https://gomsu.academia.edu/ADAMUISHAKU">ADAMU ISHAKU</a><script data-card-contents-for-user="132556717" type="text/json">{"id":132556717,"first_name":"ADAMU","last_name":"ISHAKU","domain_name":"gomsu","page_name":"ADAMUISHAKU","display_name":"ADAMU ISHAKU","profile_url":"https://gomsu.academia.edu/ADAMUISHAKU?f_ri=2963","photo":"/images/s65_no_pic.png"}</script></span></span><span class="u-displayInlineBlock InlineList-item-text"> and <span class="u-textDecorationUnderline u-clickable InlineList-item-text js-work-more-authors-72861143">+2</span><div class="hidden js-additional-users-72861143"><div><span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a href="https://independent.academia.edu/ShuaibuAbdullahi10">Shuaibu Abdullahi</a></span></div><div><span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a href="https://independent.academia.edu/NafiuHussaini1">Nafiu Hussaini</a></span></div></div></span><script>(function(){ var popoverSettings = { el: $('.js-work-more-authors-72861143'), placement: 'bottom', hide_delay: 200, html: true, content: function(){ return $('.js-additional-users-72861143').html(); 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The model classified the infected individuals based on their CD4 count level. Furthermore, education campaign, voluntary testing and counseling and treatment are considered as intervention strategies for controlling the disease. The analysis of the model reveals that imperfect public enlightenment campaign can induce backward bifurcation. It has been shown that when public enlightenment campaign is [Formula: see text] effective, the disease free equilibrium is globally asymptotically stable for [Formula: see text], whereas for [Formula: see text] the global stability of the endemic equilibrium is proved only in a special case. Time dependent controls of the intervention strategies mentioned above are incorporated into the model and the optimal control strategies with minimal implementation cost are identified. In addition, cost effectiveness analysis in the form of incremental cost effectiveness ratio is carried-out to identify the most cost effective strategies. The results suggest that out of the three non dominated strategies, the strategy of educating the newly entrants only or combination of newly entrants and susceptible individuals is very cost effective using per capita GDP of Nigeria as at 2018. However, the choice of which strategy to implement depends on budgetary allocation and resource availability.","downloadable_attachments":[],"ordered_authors":[{"id":132556717,"first_name":"ADAMU","last_name":"ISHAKU","domain_name":"gomsu","page_name":"ADAMUISHAKU","display_name":"ADAMU ISHAKU","profile_url":"https://gomsu.academia.edu/ADAMUISHAKU?f_ri=2963","photo":"/images/s65_no_pic.png"},{"id":97595651,"first_name":"Shuaibu","last_name":"Abdullahi","domain_name":"independent","page_name":"ShuaibuAbdullahi10","display_name":"Shuaibu Abdullahi","profile_url":"https://independent.academia.edu/ShuaibuAbdullahi10?f_ri=2963","photo":"/images/s65_no_pic.png"},{"id":329183727,"first_name":"Nafiu","last_name":"Hussaini","domain_name":"independent","page_name":"NafiuHussaini1","display_name":"Nafiu Hussaini","profile_url":"https://independent.academia.edu/NafiuHussaini1?f_ri=2963","photo":"/images/s65_no_pic.png"}],"research_interests":[{"id":2963,"name":"Mathematical Biology","url":"https://www.academia.edu/Documents/in/Mathematical_Biology?f_ri=2963","nofollow":false},{"id":47884,"name":"Biological Sciences","url":"https://www.academia.edu/Documents/in/Biological_Sciences?f_ri=2963","nofollow":false},{"id":80414,"name":"Mathematical Sciences","url":"https://www.academia.edu/Documents/in/Mathematical_Sciences?f_ri=2963","nofollow":false}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_11966862" data-work_id="11966862" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/11966862/Adaptive_dynamics_a_framework_to_model_evolution_in_the_ecological_theatre">Adaptive dynamics: a framework to model evolution in the ecological theatre</a></div></div><div class="u-pb4x u-mt3x"></div><ul 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protein-coding RNAs (ncRNAs) are a research hotspot in bioinformatics. Recent discoveries have revealed new ncRNA families performing a variety of roles, from gene expression regulation to catalytic activities. It is also believed... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_4568574" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Non protein-coding RNAs (ncRNAs) are a research hotspot in bioinformatics. Recent discoveries have revealed new ncRNA families performing a variety of roles, from gene expression regulation to catalytic activities. It is also believed that other families are still to be unveiled. Computational methods developed for protein coding genes often fail when searching for ncRNAs. Noncoding RNAs functionality is often heavily dependent on their secondary structure, which makes gene discovery very different from protein coding RNA genes. This motivated the development of specific methods for ncRNA research. This article reviews the main approaches used to identify ncRNAs and predict secondary structure.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/4568574" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="b8ae82d09d72d3619bf27cba75a091c9" rel="nofollow" data-download="{"attachment_id":49783252,"asset_id":4568574,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/49783252/download_file?st=MTczMjk4MzU1Miw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="5719926" href="https://usp-br.academia.edu/ArianeMachadoLima">Ariane Machado Lima</a><script data-card-contents-for-user="5719926" type="text/json">{"id":5719926,"first_name":"Ariane","last_name":"Machado Lima","domain_name":"usp-br","page_name":"ArianeMachadoLima","display_name":"Ariane Machado Lima","profile_url":"https://usp-br.academia.edu/ArianeMachadoLima?f_ri=2963","photo":"https://0.academia-photos.com/5719926/30949795/28623252/s65_ariane.machado_lima.jpg"}</script></span></span></li><li class="js-paper-rank-work_4568574 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="4568574"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 4568574, container: ".js-paper-rank-work_4568574", }); 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Network theory focuses on various topological structures and... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_3158697" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">"Networks are mathematically directed (in practical applications also undirected) graphs and a graph is a one-dimensional abstract complex, i.e., a topological space. Network theory focuses on various topological structures and properties, dynamic properties, and functionality-topology relationship, etc. There are some common mathematical foundations, theories and methodology for network analysis, in which graph theory, statistics, and operational research, etc., are the fundamental sciences of network analysis. Various emerging biological networks, at both micro- and macro- levels, will provide numerous sources for the development of general network theory and methodology and also facilitate the development of theory and methodology of biological networks.<br /><br />Biological network analysis is a fast moving science. Many core scientific issues, for example, ecological structure, co-evolution, co-extinction and biodiversity conservation in ecology, and cancer development and metabolic regulation in health science, etc., are expected to be addressed by network approaches and network analysis. Network analysis is becoming the core methodology to treat complex biological systems. As the fast development of this area, more and more papers on biological networks are published. <br /><br />At present explosive numbers of quality papers on biological networks are being published each year. The initiation of the journal, Network Biology, will provide a public and unified platform for the publication of these studies. From this integrated and unique journal, researchers, university teachers and students will thoroughly have an in-depth and complete insight on knowledge, methodology and recent advances of biological networks.<br /><br />In the view of system dynamics, biological networks are always self-organized systems with emergent, autonomous and adaptive properties. Their dynamics can be represented by agent-based modeling, individual-based modeling and some other methodologies like neural network modeling. Therefore, agent-based modeling, individual-based modeling, self-organization of biological systems, and neural network modeling, etc., fall into the aims and scope of the journal, Network Biology. <br /><br />The NETWORK BIOLOGY (ISSN 2220-8879) is an open access, peer-reviewed online journal that considers scientific articles in all different areas of network biology. It is the transactions of the International Society of Network Biology.It dedicates to the latest advances in network biology. The goal of this journal is to keep a record of the state-of-the-art research and promote the research work in these fast moving areas. The topics to be covered by Network Biology include, but are not limited to: <br /><br />•Theories, algorithms and programs of network analysis<br />•Innovations and applications of biological networks<br />•Dynamics, optimization and control of biological networks<br />•Ecological networks, food webs and natural equilibrium<br />•Co-evolution, co-extinction, biodiversity conservation<br />•Metabolic networks, protein-protein interaction networks, biochemical reaction networks, gene networks, transcriptional regulatory networks, cell cycle networks, phylogenetic networks, network motifs<br />•Physiological networks<br />•Network regulation of metabolic processes, human diseases and ecological systems<br />•Social networks, epidemiological networks<br />•System complexity, self-organized systems, emergence of biological systems, agent-based modeling, individual-based modeling, neural network modeling, and other network-based modeling, etc.<br />We are also interested in short communications that clearly address a specific issue or completely present a new ecological network, food web, or metabolic or gene network, etc. <br /><br />Authors can submit their works to the email box of this journal, <a href="mailto:networkbiology@iaees.org" rel="nofollow">networkbiology@iaees.org</a>. All manuscripts submitted to this journal must be previously unpublished and may not be considered for publication elsewhere at any time during review period of this journal. Authors are asked to read Author Guidelines before submitting manuscripts.<br /><br />In addition to free submissions from authors around the world, special issues are also accepted. The organizer of a special issue can collect submissions (yielded from a research project, a research group, etc.) on a specific research topic, or submissions of a scientific conference for publication of special issue. <br /><br />Network Biology <br />ISSN 2220-8879 <br />URL: <a href="http://www.iaees.org/publications/journals/nb/online-version.asp" rel="nofollow">http://www.iaees.org/publications/journals/nb/online-version.asp</a><br />RSS feed: <a href="http://www.iaees.org/publications/journals/nb/rss.xml" rel="nofollow">http://www.iaees.org/publications/journals/nb/rss.xml</a><br />E-mail: <a href="mailto:networkbiology@iaees.org" rel="nofollow">networkbiology@iaees.org</a><br />Editor-in-Chief: WenJun Zhang"</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/3158697" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="54c9f3df2d9f0d4325645c90e531ecd9" rel="nofollow" data-download="{"attachment_id":41547697,"asset_id":3158697,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/41547697/download_file?st=MTczMjk4MzU1Miw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="3573924" href="https://iaees.academia.edu/IAEESPublications">IAEES Publications</a><script data-card-contents-for-user="3573924" type="text/json">{"id":3573924,"first_name":"IAEES","last_name":"Publications","domain_name":"iaees","page_name":"IAEESPublications","display_name":"IAEES Publications","profile_url":"https://iaees.academia.edu/IAEESPublications?f_ri=2963","photo":"https://0.academia-photos.com/3573924/5016887/37919633/s65_iaees.publications.png"}</script></span></span><span class="u-displayInlineBlock InlineList-item-text"> and <span class="u-textDecorationUnderline u-clickable InlineList-item-text js-work-more-authors-3158697">+2</span><div class="hidden js-additional-users-3158697"><div><span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a href="https://newengland.academia.edu/CarrieByron">Carrie Byron</a></span></div><div><span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a href="https://independent.academia.edu/CraigTennenhouse">Craig Tennenhouse</a></span></div></div></span><script>(function(){ var popoverSettings = { el: $('.js-work-more-authors-3158697'), placement: 'bottom', hide_delay: 200, html: true, content: function(){ return $('.js-additional-users-3158697').html(); 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Network theory focuses on various topological structures and properties, dynamic properties, and functionality-topology relationship, etc. There are some common mathematical foundations, theories and methodology for network analysis, in which graph theory, statistics, and operational research, etc., are the fundamental sciences of network analysis. Various emerging biological networks, at both micro- and macro- levels, will provide numerous sources for the development of general network theory and methodology and also facilitate the development of theory and methodology of biological networks.\n\nBiological network analysis is a fast moving science. Many core scientific issues, for example, ecological structure, co-evolution, co-extinction and biodiversity conservation in ecology, and cancer development and metabolic regulation in health science, etc., are expected to be addressed by network approaches and network analysis. Network analysis is becoming the core methodology to treat complex biological systems. As the fast development of this area, more and more papers on biological networks are published. \n\nAt present explosive numbers of quality papers on biological networks are being published each year. The initiation of the journal, Network Biology, will provide a public and unified platform for the publication of these studies. From this integrated and unique journal, researchers, university teachers and students will thoroughly have an in-depth and complete insight on knowledge, methodology and recent advances of biological networks.\n\nIn the view of system dynamics, biological networks are always self-organized systems with emergent, autonomous and adaptive properties. Their dynamics can be represented by agent-based modeling, individual-based modeling and some other methodologies like neural network modeling. Therefore, agent-based modeling, individual-based modeling, self-organization of biological systems, and neural network modeling, etc., fall into the aims and scope of the journal, Network Biology. \n\nThe NETWORK BIOLOGY (ISSN 2220-8879) is an open access, peer-reviewed online journal that considers scientific articles in all different areas of network biology. It is the transactions of the International Society of Network Biology.It dedicates to the latest advances in network biology. The goal of this journal is to keep a record of the state-of-the-art research and promote the research work in these fast moving areas. The topics to be covered by Network Biology include, but are not limited to: \n\n•Theories, algorithms and programs of network analysis\n•Innovations and applications of biological networks\n•Dynamics, optimization and control of biological networks\n•Ecological networks, food webs and natural equilibrium\n•Co-evolution, co-extinction, biodiversity conservation\n•Metabolic networks, protein-protein interaction networks, biochemical reaction networks, gene networks, transcriptional regulatory networks, cell cycle networks, phylogenetic networks, network motifs\n•Physiological networks\n•Network regulation of metabolic processes, human diseases and ecological systems\n•Social networks, epidemiological networks\n•System complexity, self-organized systems, emergence of biological systems, agent-based modeling, individual-based modeling, neural network modeling, and other network-based modeling, etc.\nWe are also interested in short communications that clearly address a specific issue or completely present a new ecological network, food web, or metabolic or gene network, etc. \n\nAuthors can submit their works to the email box of this journal, networkbiology@iaees.org. All manuscripts submitted to this journal must be previously unpublished and may not be considered for publication elsewhere at any time during review period of this journal. Authors are asked to read Author Guidelines before submitting manuscripts.\n\nIn addition to free submissions from authors around the world, special issues are also accepted. The organizer of a special issue can collect submissions (yielded from a research project, a research group, etc.) on a specific research topic, or submissions of a scientific conference for publication of special issue. \n\nNetwork Biology \nISSN 2220-8879 \nURL: http://www.iaees.org/publications/journals/nb/online-version.asp\nRSS feed: http://www.iaees.org/publications/journals/nb/rss.xml\nE-mail: networkbiology@iaees.org\nEditor-in-Chief: WenJun Zhang\"","downloadable_attachments":[{"id":41547697,"asset_id":3158697,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":3573924,"first_name":"IAEES","last_name":"Publications","domain_name":"iaees","page_name":"IAEESPublications","display_name":"IAEES 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Biology","url":"https://www.academia.edu/Documents/in/E.g._Biology?f_ri=2963"},{"id":1115412,"name":"Vector Biology \u0026 Control","url":"https://www.academia.edu/Documents/in/Vector_Biology_and_Control-1?f_ri=2963"},{"id":1681026,"name":"Biochemistry and cell biology","url":"https://www.academia.edu/Documents/in/Biochemistry_and_cell_biology?f_ri=2963"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_15014293" data-work_id="15014293" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/15014293/Lyapunov_functionals_for_global_stability_of_Lotka_Volterra_cooperative_systems_with_discrete_delays">Lyapunov functionals for global stability of Lotka-Volterra cooperative systems with discrete delays</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">This paper addresses the global stability of a two-species Lotka-Volterra cooperative system with four discrete delays via the method of Lyapunov functionals. We apply our Lyapunov functional techniques to prove stability of... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_15014293" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">This paper addresses the global stability of a two-species Lotka-Volterra cooperative system with four discrete delays via the method of Lyapunov functionals. We apply our Lyapunov functional techniques to prove stability of Lotka-Volterra models of mutualism with two delays or without delays. We note that, if all the delayed feedbacks are positive then the stability properties are independent of the values of the delays. We compare our results with known results. <br /> <br />Keywords: Lotka-Volterra cooperative system, discrete delays, delayed positive feedback, Lyapunov functional, global stability.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/15014293" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="59de8f319706b5e4fd0e93f5402be8f1" rel="nofollow" data-download="{"attachment_id":38507010,"asset_id":15014293,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/38507010/download_file?st=MTczMjk4MzU1Miw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="2121744" href="https://independent.academia.edu/leoncruz82">Cruz Vargas-De-León</a><script data-card-contents-for-user="2121744" type="text/json">{"id":2121744,"first_name":"Cruz","last_name":"Vargas-De-León","domain_name":"independent","page_name":"leoncruz82","display_name":"Cruz Vargas-De-León","profile_url":"https://independent.academia.edu/leoncruz82?f_ri=2963","photo":"https://0.academia-photos.com/2121744/688983/19867024/s65_cruz.vargas-de-le_n.png"}</script></span></span></li><li class="js-paper-rank-work_15014293 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="15014293"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 15014293, container: ".js-paper-rank-work_15014293", }); 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We apply our Lyapunov functional techniques to prove stability of Lotka-Volterra models of mutualism with two delays or without delays. We note that, if all the delayed feedbacks are positive then the stability properties are independent of the values of the delays. We compare our results with known results. \r\n\r\nKeywords: Lotka-Volterra cooperative system, discrete delays, delayed positive feedback, Lyapunov functional, global stability.","downloadable_attachments":[{"id":38507010,"asset_id":15014293,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":2121744,"first_name":"Cruz","last_name":"Vargas-De-León","domain_name":"independent","page_name":"leoncruz82","display_name":"Cruz Vargas-De-León","profile_url":"https://independent.academia.edu/leoncruz82?f_ri=2963","photo":"https://0.academia-photos.com/2121744/688983/19867024/s65_cruz.vargas-de-le_n.png"}],"research_interests":[{"id":2963,"name":"Mathematical Biology","url":"https://www.academia.edu/Documents/in/Mathematical_Biology?f_ri=2963","nofollow":false},{"id":15396,"name":"Mathematical Ecology","url":"https://www.academia.edu/Documents/in/Mathematical_Ecology?f_ri=2963","nofollow":false},{"id":16521,"name":"Mathematical biology (Mathematics)","url":"https://www.academia.edu/Documents/in/Mathematical_biology_Mathematics_?f_ri=2963","nofollow":false},{"id":51901,"name":"Time-Delay Systems","url":"https://www.academia.edu/Documents/in/Time-Delay_Systems?f_ri=2963","nofollow":false},{"id":67038,"name":"Lyapunov Stability Theory","url":"https://www.academia.edu/Documents/in/Lyapunov_Stability_Theory?f_ri=2963"},{"id":84487,"name":"Delay Differential Equation","url":"https://www.academia.edu/Documents/in/Delay_Differential_Equation?f_ri=2963"},{"id":136174,"name":"Delay Differential Equations","url":"https://www.academia.edu/Documents/in/Delay_Differential_Equations?f_ri=2963"},{"id":420906,"name":"Lyapunov functions","url":"https://www.academia.edu/Documents/in/Lyapunov_functions?f_ri=2963"},{"id":543165,"name":"direct Lyapunov method","url":"https://www.academia.edu/Documents/in/direct_Lyapunov_method?f_ri=2963"},{"id":543171,"name":"Lyapunov function","url":"https://www.academia.edu/Documents/in/Lyapunov_function?f_ri=2963"},{"id":543197,"name":"Second Method of Lyapunov","url":"https://www.academia.edu/Documents/in/Second_Method_of_Lyapunov?f_ri=2963"},{"id":544875,"name":"Lyapunov techniques","url":"https://www.academia.edu/Documents/in/Lyapunov_techniques?f_ri=2963"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_7001978" data-work_id="7001978" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/7001978/The_Navier_Stokes_Equations_And_Turbulence">The Navier-Stokes Equations And Turbulence</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">The Navier-Stokes differential equations describe the motion of fluids which are incompressible. The three-dimensional Navier-Stokes equations misbehave very badly although they are relatively simple-looking. The solutions could wind up... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_7001978" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">The Navier-Stokes differential equations describe the motion of fluids which are incompressible. The three-dimensional Navier-Stokes equations misbehave very badly although they are relatively simple-looking. The solutions could wind up being extremely unstable even with nice, smooth, reasonably harmless initial conditions. A mathematical understanding of the outrageous behaviour of these equations would dramatically alter the <br />field of fluid mechanics. This paper describes why the three-dimensional Navier-Stokes equations are not solvable, i.e., the equations cannot be used to model turbulence, which is <br />a three-dimensional phenomenon.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/7001978" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="171cd89ee1e8ff2786e296416df8c2c6" rel="nofollow" data-download="{"attachment_id":33905173,"asset_id":7001978,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/33905173/download_file?st=MTczMjk4MzU1Miw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="11414130" href="https://independent.academia.edu/WongBertrand">Bertrand Wong</a><script data-card-contents-for-user="11414130" type="text/json">{"id":11414130,"first_name":"Bertrand","last_name":"Wong","domain_name":"independent","page_name":"WongBertrand","display_name":"Bertrand Wong","profile_url":"https://independent.academia.edu/WongBertrand?f_ri=2963","photo":"https://0.academia-photos.com/11414130/3329015/3917133/s65_bertrand.wong.jpg"}</script></span></span></li><li class="js-paper-rank-work_7001978 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="7001978"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 7001978, container: ".js-paper-rank-work_7001978", }); 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The three-dimensional Navier-Stokes equations misbehave very badly although they are relatively simple-looking. The solutions could wind up being extremely unstable even with nice, smooth, reasonably harmless initial conditions. A mathematical understanding of the outrageous behaviour of these equations would dramatically alter the\r\nfield of fluid mechanics. This paper describes why the three-dimensional Navier-Stokes equations are not solvable, i.e., the equations cannot be used to model turbulence, which is\r\na three-dimensional phenomenon.","downloadable_attachments":[{"id":33905173,"asset_id":7001978,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":11414130,"first_name":"Bertrand","last_name":"Wong","domain_name":"independent","page_name":"WongBertrand","display_name":"Bertrand Wong","profile_url":"https://independent.academia.edu/WongBertrand?f_ri=2963","photo":"https://0.academia-photos.com/11414130/3329015/3917133/s65_bertrand.wong.jpg"}],"research_interests":[{"id":300,"name":"Mathematics","url":"https://www.academia.edu/Documents/in/Mathematics?f_ri=2963","nofollow":false},{"id":305,"name":"Applied Mathematics","url":"https://www.academia.edu/Documents/in/Applied_Mathematics?f_ri=2963","nofollow":false},{"id":307,"name":"Mathematical 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We demonstrate that the growth inhibition can be a result of a systemic level effect, which can be seen in a... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_33039191" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">The aim of this book is to give a contemporary review of tree growth modelling and represent our own results in this field. We demonstrate that the growth inhibition can be a result of a systemic level effect, which can be seen in a whole-tree physiological model which includes submodels for the processes of photosynthesis, mineral nutrition, respiration, phloem and xylem transport, and growth of roots, stems, and leaves. <br /><br />The parts 1, 2 and 3 represent the review and analysis of existing models, beginning with simple growth formulas and then concentrating in contemporary dynamic (ecophysiological) models which contain many state variables and tens of parameters. The analysis of these models is given by the main components of growth process.<br /><br />Part 4 deals with the most important problem of causal tree growth analysis – the reason of growth cessation (self-inhibition) of too big tree. The arguments are given, showing the inadequacy of explanations which are based on Pütter-Bertalanffy equation. In the fig. 4.5 the numerical scheme of carbon balance for whole tree is represented, based on the experimental results of Estonian researchers.<br /><br />In part 5 the description of our model PUU-1 is given. It contains 9 state variables (see List of symbols), 6 driving variables (table 6.1) and 43 parameters (table 6.3). The model enables to analyze both seasonal and ontogenetic dynamics of evergreen tree growth. The summary of all equations of the model is represented in ch. 5.9.<br /><br />Part 6 deals with identification of the model: getting initial values of state variables and values of parameters and driving variables. More than half of them are based on the measurements made by Estonian researchers in Picea abies, others are taken from literature.<br /><br />Part 7 gives the results of numerical experiments with our model – analysis of sensitivity of model variables and parameters, examples of growth dynamics, including numerical experiments with fertilization. The model fits satisfactorily with measured data. The comparison of calculated tree ring dynamics with dendrochronological data shows great perspectives in applying dynamical growth models of whole tree in dendrochronology, as well as in growth analysis and prediction, including situations<br />and problems which arise in agroforestry.<br /><br />The most important theoretical result of our modelling is connected with self-inhibition of growth in tree ontogeny. It is shown, that self-inhibition of growth is taking place even without any aging factor, only because of size effects, which are mostly connected with changes in tree water exchange and trans port of assimilates (supplying of roots with assimilates becoming worse according to monotonous growth of cambium area). In the last chapter (7.6) the perspectives of tree growth modelling are discussed.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/33039191" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="e86718cbd4694a597bf3e8f889236786" rel="nofollow" data-download="{"attachment_id":53148195,"asset_id":33039191,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/53148195/download_file?st=MTczMjk4MzU1Miw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="141980" href="https://ut-ee.academia.edu/KaleviKull">Kalevi Kull</a><script data-card-contents-for-user="141980" type="text/json">{"id":141980,"first_name":"Kalevi","last_name":"Kull","domain_name":"ut-ee","page_name":"KaleviKull","display_name":"Kalevi Kull","profile_url":"https://ut-ee.academia.edu/KaleviKull?f_ri=2963","photo":"https://0.academia-photos.com/141980/37665/34574905/s65_kalevi.kull.jpeg"}</script></span></span></li><li class="js-paper-rank-work_33039191 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="33039191"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 33039191, container: ".js-paper-rank-work_33039191", }); 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$(".js-view-count[data-work-id=33039191]").text(description); $(".js-view-count-work_33039191").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_33039191").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="33039191"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i> <a class="InlineList-item-text u-positionRelative">5</a> </div><span class="InlineList-item-text u-textTruncate u-pl9x"><a class="InlineList-item-text" data-has-card-for-ri="2963" href="https://www.academia.edu/Documents/in/Mathematical_Biology">Mathematical Biology</a>, <script data-card-contents-for-ri="2963" type="text/json">{"id":2963,"name":"Mathematical Biology","url":"https://www.academia.edu/Documents/in/Mathematical_Biology?f_ri=2963","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="9708" href="https://www.academia.edu/Documents/in/System_Dynamics_Modeling">System Dynamics Modeling</a>, <script data-card-contents-for-ri="9708" type="text/json">{"id":9708,"name":"System Dynamics Modeling","url":"https://www.academia.edu/Documents/in/System_Dynamics_Modeling?f_ri=2963","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="37870" href="https://www.academia.edu/Documents/in/Organismal_Biology">Organismal Biology</a>, <script data-card-contents-for-ri="37870" type="text/json">{"id":37870,"name":"Organismal Biology","url":"https://www.academia.edu/Documents/in/Organismal_Biology?f_ri=2963","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="72643" href="https://www.academia.edu/Documents/in/Tree_Physiology">Tree Physiology</a><script data-card-contents-for-ri="72643" type="text/json">{"id":72643,"name":"Tree Physiology","url":"https://www.academia.edu/Documents/in/Tree_Physiology?f_ri=2963","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=33039191]'), work: {"id":33039191,"title":"Динамическое моделирование роста деревьев – Dynamic Modelling of Tree Growth","created_at":"2017-05-16T07:17:13.715-07:00","url":"https://www.academia.edu/33039191/%D0%94%D0%B8%D0%BD%D0%B0%D0%BC%D0%B8%D1%87%D0%B5%D1%81%D0%BA%D0%BE%D0%B5_%D0%BC%D0%BE%D0%B4%D0%B5%D0%BB%D0%B8%D1%80%D0%BE%D0%B2%D0%B0%D0%BD%D0%B8%D0%B5_%D1%80%D0%BE%D1%81%D1%82%D0%B0_%D0%B4%D0%B5%D1%80%D0%B5%D0%B2%D1%8C%D0%B5%D0%B2_Dynamic_Modelling_of_Tree_Growth?f_ri=2963","dom_id":"work_33039191","summary":"The aim of this book is to give a contemporary review of tree growth modelling and represent our own results in this field. We demonstrate that the growth inhibition can be a result of a systemic level effect, which can be seen in a whole-tree physiological model which includes submodels for the processes of photosynthesis, mineral nutrition, respiration, phloem and xylem transport, and growth of roots, stems, and leaves. \n\nThe parts 1, 2 and 3 represent the review and analysis of existing models, beginning with simple growth formulas and then concentrating in contemporary dynamic (ecophysiological) models which contain many state variables and tens of parameters. The analysis of these models is given by the main components of growth process.\n\nPart 4 deals with the most important problem of causal tree growth analysis – the reason of growth cessation (self-inhibition) of too big tree. The arguments are given, showing the inadequacy of explanations which are based on Pütter-Bertalanffy equation. In the fig. 4.5 the numerical scheme of carbon balance for whole tree is represented, based on the experimental results of Estonian researchers.\n\nIn part 5 the description of our model PUU-1 is given. It contains 9 state variables (see List of symbols), 6 driving variables (table 6.1) and 43 parameters (table 6.3). The model enables to analyze both seasonal and ontogenetic dynamics of evergreen tree growth. The summary of all equations of the model is represented in ch. 5.9.\n\nPart 6 deals with identification of the model: getting initial values of state variables and values of parameters and driving variables. More than half of them are based on the measurements made by Estonian researchers in Picea abies, others are taken from literature.\n\nPart 7 gives the results of numerical experiments with our model – analysis of sensitivity of model variables and parameters, examples of growth dynamics, including numerical experiments with fertilization. The model fits satisfactorily with measured data. The comparison of calculated tree ring dynamics with dendrochronological data shows great perspectives in applying dynamical growth models of whole tree in dendrochronology, as well as in growth analysis and prediction, including situations\nand problems which arise in agroforestry.\n\nThe most important theoretical result of our modelling is connected with self-inhibition of growth in tree ontogeny. It is shown, that self-inhibition of growth is taking place even without any aging factor, only because of size effects, which are mostly connected with changes in tree water exchange and trans port of assimilates (supplying of roots with assimilates becoming worse according to monotonous growth of cambium area). In the last chapter (7.6) the perspectives of tree growth modelling are discussed.","downloadable_attachments":[{"id":53148195,"asset_id":33039191,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":141980,"first_name":"Kalevi","last_name":"Kull","domain_name":"ut-ee","page_name":"KaleviKull","display_name":"Kalevi Kull","profile_url":"https://ut-ee.academia.edu/KaleviKull?f_ri=2963","photo":"https://0.academia-photos.com/141980/37665/34574905/s65_kalevi.kull.jpeg"}],"research_interests":[{"id":2963,"name":"Mathematical Biology","url":"https://www.academia.edu/Documents/in/Mathematical_Biology?f_ri=2963","nofollow":false},{"id":9708,"name":"System Dynamics Modeling","url":"https://www.academia.edu/Documents/in/System_Dynamics_Modeling?f_ri=2963","nofollow":false},{"id":37870,"name":"Organismal Biology","url":"https://www.academia.edu/Documents/in/Organismal_Biology?f_ri=2963","nofollow":false},{"id":72643,"name":"Tree Physiology","url":"https://www.academia.edu/Documents/in/Tree_Physiology?f_ri=2963","nofollow":false},{"id":112160,"name":"Forest Growth Modelling","url":"https://www.academia.edu/Documents/in/Forest_Growth_Modelling?f_ri=2963"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_7435756" data-work_id="7435756" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/7435756/Modeling_Plant_Growth_With_Mathematical_Models">Modeling Plant Growth With Mathematical Models</a></div></div><div class="u-pb4x u-mt3x"></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/7435756" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="5eb79d7310a0676823e40f120c6a3161" rel="nofollow" data-download="{"attachment_id":34018879,"asset_id":7435756,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/34018879/download_file?st=MTczMjk4MzU1Miw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="6818463" href="https://mit.academia.edu/ShantanuJakhete">Shantanu Jakhete</a><script data-card-contents-for-user="6818463" type="text/json">{"id":6818463,"first_name":"Shantanu","last_name":"Jakhete","domain_name":"mit","page_name":"ShantanuJakhete","display_name":"Shantanu Jakhete","profile_url":"https://mit.academia.edu/ShantanuJakhete?f_ri=2963","photo":"https://0.academia-photos.com/6818463/3716865/4355200/s65_shantanu.jakhete.jpg"}</script></span></span></li><li class="js-paper-rank-work_7435756 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="7435756"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 7435756, container: ".js-paper-rank-work_7435756", }); 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Thereafter we try to see the behavior of the oscillator near the limit cycle under periodic forcing and and... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_9067342" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">We try to study the general properties of the Van der Pol oscillator like the occurrence of Hopf bifurcation and limit cycles. 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u-tcGrayDarkest"><div class="summarized">This article surveys and synthesizes dynamic systems models of development from biology, neuroscience, and psychology in order to propose an integrated account of growth, learning, and behavior. Key to this account is the concept of... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_33861231" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">This article surveys and synthesizes dynamic systems models of development from biology, neuroscience, and psychology in order to propose an integrated account of growth, learning, and behavior. Key to this account is the concept of self-differentiation or symmetry-breaking. 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u-lineHeight1_5 u-tcGrayDarkest">Includes a description of history of theoretical biology and the author's contributions to the Estonian Spring Schools in Theoretical Biology (1975–2019) – altogether over 50 essays. University of Tartu Press, 495 pp.</div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/38973209" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="ee6c001739169096db12dba457072aaa" rel="nofollow" data-download="{"attachment_id":65404253,"asset_id":38973209,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/65404253/download_file?st=MTczMjk4MzU1Miw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="141980" href="https://ut-ee.academia.edu/KaleviKull">Kalevi Kull</a><script data-card-contents-for-user="141980" type="text/json">{"id":141980,"first_name":"Kalevi","last_name":"Kull","domain_name":"ut-ee","page_name":"KaleviKull","display_name":"Kalevi Kull","profile_url":"https://ut-ee.academia.edu/KaleviKull?f_ri=2963","photo":"https://0.academia-photos.com/141980/37665/34574905/s65_kalevi.kull.jpeg"}</script></span></span></li><li class="js-paper-rank-work_38973209 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="38973209"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 38973209, container: ".js-paper-rank-work_38973209", }); 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"</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">We present 1) a novel unified conception of science, cognition and phenomenology in terms of the Klein Bottle logophysics, 2) as a supradual creative agency based on self and hetero-reference and multistate logic associated to the... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_37424427" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">We present 1) a novel unified conception of science, cognition and phenomenology in terms of the Klein Bottle logophysics, 2) as a supradual creative agency based on self and hetero-reference and multistate logic associated to the non-orientable topologies of the Moebius strip and Klein Bottle surfaces, 3) the Golden ratio in several areas of biology (particularly genomics), cognition, perception, physics and music, and the multiple biochemical codes of life ; 4) semiosis and topological folding in the génesis of life ; 5) the torsion geometries and non-orientable topologies, and apply them to 6) human-bodyplan, neurosciences, music cognition, structure and processes of thinking, particularly Quantum Mechanics, creativity and the logics of the psyche; 7) a universal principle of self-organization and the genesis of life, the π-related visual cortex and holography; 8) as an harmonic principle in the brain's pattern formation, pattern recognition and morphogenesis, and the topological paradigm to neuroscience; 9) higher-order cybernetics, ontopoiesis and autopoiesis in Systems Biology,the psyche's bi-logic; 10) a rebuttal of Dr. Liu et all's PLOS article claiming the appearance of Phi in genomes as accidental, in terms of the supradual ontopoiesis hereby presented and by reviewing several codes of life discovered by Pérez, which elicit their unity already starting at the level of the periodic table of elements and Life compounds atomic mass; and 11) the Golden mean in the rituals of whales.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/37424427" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="af0d8ab1c78be6a9bb67a47de9238d86" rel="nofollow" data-download="{"attachment_id":57389549,"asset_id":37424427,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" 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(Campodonico)","profile_url":"https://unq.academia.edu/DiegoRapoport?f_ri=2963","photo":"https://0.academia-photos.com/1799161/615050/763655/s65_diego.rapoport.jpg"}</script></span></span><span class="u-displayInlineBlock InlineList-item-text"> and <span class="u-textDecorationUnderline u-clickable InlineList-item-text js-work-more-authors-37424427">+1</span><div class="hidden js-additional-users-37424427"><div><span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a href="https://independent.academia.edu/JeanclaudePerez">Jean-claude Perez</a></span></div></div></span><script>(function(){ var popoverSettings = { el: $('.js-work-more-authors-37424427'), placement: 'bottom', hide_delay: 200, html: true, content: function(){ return $('.js-additional-users-37424427').html(); } } new HoverPopover(popoverSettings); })();</script></li><li class="js-paper-rank-work_37424427 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden 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data-has-card-for-ri="98" href="https://www.academia.edu/Documents/in/Semiotics">Semiotics</a>, <script data-card-contents-for-ri="98" type="text/json">{"id":98,"name":"Semiotics","url":"https://www.academia.edu/Documents/in/Semiotics?f_ri=2963","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="146" href="https://www.academia.edu/Documents/in/Bioinformatics">Bioinformatics</a>, <script data-card-contents-for-ri="146" type="text/json">{"id":146,"name":"Bioinformatics","url":"https://www.academia.edu/Documents/in/Bioinformatics?f_ri=2963","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="155" href="https://www.academia.edu/Documents/in/Evolutionary_Biology">Evolutionary Biology</a>, <script data-card-contents-for-ri="155" type="text/json">{"id":155,"name":"Evolutionary Biology","url":"https://www.academia.edu/Documents/in/Evolutionary_Biology?f_ri=2963","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="161" href="https://www.academia.edu/Documents/in/Neuroscience">Neuroscience</a><script data-card-contents-for-ri="161" type="text/json">{"id":161,"name":"Neuroscience","url":"https://www.academia.edu/Documents/in/Neuroscience?f_ri=2963","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=37424427]'), work: {"id":37424427,"title":"Golden ratio and Klein bottle Logophysics: the Keys of the Codes of Life and Cognition (Reply to Liu et al, \" Is the golden ratio a universal constant for self-replication? \"","created_at":"2018-09-16T05:26:10.911-07:00","url":"https://www.academia.edu/37424427/Golden_ratio_and_Klein_bottle_Logophysics_the_Keys_of_the_Codes_of_Life_and_Cognition_Reply_to_Liu_et_al_Is_the_golden_ratio_a_universal_constant_for_self_replication_?f_ri=2963","dom_id":"work_37424427","summary":"We present 1) a novel unified conception of science, cognition and phenomenology in terms of the Klein Bottle logophysics, 2) as a supradual creative agency based on self and hetero-reference and multistate logic associated to the non-orientable topologies of the Moebius strip and Klein Bottle surfaces, 3) the Golden ratio in several areas of biology (particularly genomics), cognition, perception, physics and music, and the multiple biochemical codes of life ; 4) semiosis and topological folding in the génesis of life ; 5) the torsion geometries and non-orientable topologies, and apply them to 6) human-bodyplan, neurosciences, music cognition, structure and processes of thinking, particularly Quantum Mechanics, creativity and the logics of the psyche; 7) a universal principle of self-organization and the genesis of life, the π-related visual cortex and holography; 8) as an harmonic principle in the brain's pattern formation, pattern recognition and morphogenesis, and the topological paradigm to neuroscience; 9) higher-order cybernetics, ontopoiesis and autopoiesis in Systems Biology,the psyche's bi-logic; 10) a rebuttal of Dr. Liu et all's PLOS article claiming the appearance of Phi in genomes as accidental, in terms of the supradual ontopoiesis hereby presented and by reviewing several codes of life discovered by Pérez, which elicit their unity already starting at the level of the periodic table of elements and Life compounds atomic mass; and 11) the Golden mean in the rituals of whales.","downloadable_attachments":[{"id":57389549,"asset_id":37424427,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":1799161,"first_name":"Diego Lucio","last_name":"Rapoport (Campodonico)","domain_name":"unq","page_name":"DiegoRapoport","display_name":"Diego Lucio Rapoport 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