https://bulletinbiomath.org/index.php/bulletinbiomath/gateway/plugin/AnnouncementFeedGatewayPlugin/atomBulletin of Biomathematics: Announcements2023-03-18T07:11:12+03:00Open Journal Systems<table style="font-size: 0.875rem;" cellspacing="10" cellpadding="10"> <tbody> <tr> <td valign="top" width="250"> <h3><img src="https://bulletinbiomath.org/index.php/bulletinbiomath/management/settings/undefined" alt="" /><img style="font-size: 0.875rem;" 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" alt="" /></h3> <h3><img style="font-size: 0.875rem;" src="blob:https://bulletinbiomath.org/a2714d2a-5dbf-49c2-baba-6d540d574337" alt="" /><img style="font-size: 0.875rem;" src="blob:https://bulletinbiomath.org/76c04345-fcfe-4502-b5db-52bc6e081112" alt="" /><img style="font-size: 0.875rem;" src="blob:https://bulletinbiomath.org/d337e7f0-2fb6-4e76-b927-13c244fe3ed9" alt="" />ISSN Online: 2980-1869</h3> <p> </p> <div> <div> <div> <h2>Editor-in-Chief<span style="font-size: 0.875rem;"> </span></h2> </div> </div> <p><a title="Editor in Chief" href="https://scholar.google.com.tr/citations?user=ILxNgXgAAAAJ&hl=en" target="_blank" rel="noopener">Mehmet Yavuz</a>, PhD, Necmettin Erbakan University, Türkiye</p> <div> <h3><br />Publisher</h3> </div> <p><a title="Publisher" href="http://fevirgen.baun.edu.tr/" target="_blank" rel="noopener">Fırat Evirgen</a>, PhD, Balıkesir University, Türkiye</p> <p><strong><a href="https://bulletinbiomath.org/index.php/bulletinbiomath/about/editorialTeam" target="_blank" rel="noopener"><em>View the Full Editorial Board</em></a></strong></p> </div> </td> <td valign="top"> <h3>Aims and Scope</h3> <p style="text-align: justify;">The <strong><em>Bulletin of Biomathematics (BBM) </em></strong>is an international research journal, which publishes <strong>top-level original</strong> and review papers, short communications and proceedings for theoretical and application perspectives that give insight into mathematical biology and ecology processes. It covers a very wide range of topics and is of interest to mathematicians, biologists and ecologists in many areas of research.</p> <p style="text-align: justify;">The <strong>BBM</strong> mainly publishes original papers on the interface between applied mathematics, data analysis, and the application of system-oriented ideas to natural and biosciences, and on the analyses of data and mathematical models derived from real-world problems, and focuses on the innovation of theory and research methods, especially the original research results of differential equations, nonlinear dynamical systems and their intersections and applications in related fields.</p> <p style="text-align: justify;">The scope of the journal is devoted to mathematical modelling with sufficiently advanced models, and the works studying mainly the existence and stability of stationary points of ODE systems without applications are not considered. The journal is essentially functioning on the basis of topical issues representing active areas of research. The authors are invited to submit papers to the announced issues or to suggest new issues.<br /><br />The <strong>BBM</strong> publishes all research papers and reviews in the areas of mathematical modeling listed below and will continue to provide information on the latest trends and developments in this ever-expanding topic.</p> <p style="text-align: justify;">Biological topics include but are not limited to, cell and developmental biology, physiology, neurobiology, genetics and population genetics, genomics, ecology, behavioral biology, evolution, epidemiology, immunology, molecular and structural biology, biofluids, oncology, neurobiology, cell biology, biostatistics, bioinformatics, bioengineering, infectious diseases, renewable biological resource, biomechanics, cancer biology, and medicine. <br />Mathematical approaches cover a wide range of mathematical disciplines, such as dynamical systems, differential equations of integer and fractional order, nonlinear and stochastic programming, optimization theory, optimal control theory, adaptive and robust control theory with applications, operational research in life and human sciences, artificial intelligence, as well as computational approaches.</p> </td> </tr> </tbody> </table> <p> </p>