<?xml version="1.0" encoding="UTF-8"?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-10-29T21:48:09Z</responseDate><request verb="GetRecord" identifier="oai:munzur-rdlopen.rawdatalibrary.net:munzur/4212" metadataPrefix="oai_dc">https://munzur-rdlopen.rawdatalibrary.net/oai/request</request><GetRecord><record><header><identifier>oai:munzur-rdlopen.rawdatalibrary.net:munzur/4212</identifier><datestamp>2026-10-28T15:31:21Z</datestamp><setSpec>openaire</setSpec><setSpec>driver</setSpec><setSpec>com_munzur_1</setSpec><setSpec>col_munzur_2</setSpec><setSpec>com_munzur_8</setSpec><setSpec>col_munzur_154</setSpec></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:title>Regarding on the Prototype Solutions for the Nonlinear Fractional-Order Biological Population Model</dc:title><dc:creator>Baskonus, Haci Mehmet</dc:creator><dc:creator>Bulut, Hasan</dc:creator><dc:contributor>Simos, T</dc:contributor><dc:contributor>Tsitouras, C</dc:contributor><dc:subject>Improved Bernoulli sub-equation function method</dc:subject><dc:subject>Fractional-order biological population model</dc:subject><dc:subject>Exponential function solution</dc:subject><dc:subject>Complex Hyperbolic function solution</dc:subject><dc:subject>Complex trigonometric function solution</dc:subject><dc:description>In this study, we have submitted to literature a method newly extended which is called as Improved Bernoulli sub-equation function method based on the Bernoulli Sub-ODE method. The proposed analytical scheme has been expressed with steps. We have obtained some new analytical solutions to the nonlinear fractional-order biological population model by using this technique. Two and three dimensional surfaces of analytical solutions have been drawn by wolfram Mathematica 9. Finally, a conclusion has been submitted by mentioning important acquisitions founded in this study.</dc:description><dc:publisher>AMER INST PHYSICS</dc:publisher><dc:date>2016</dc:date><dc:type>Conference Object</dc:type><dc:identifier>https://rdlopen.rawdatalibrary.net/r/munzur/4212</dc:identifier><dc:identifier>https://doi.org/10.1063/1.4952076</dc:identifier><dc:identifier>978-0-7354-1392-4</dc:identifier><dc:identifier>0094-243X</dc:identifier><dc:language>en</dc:language><dc:relation>PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON NUMERICAL ANALYSIS AND APPLIED MATHEMATICS 2015 (ICNAAM-2015)</dc:relation><dc:rights>info:eu-repo/semantics/openAccess</dc:rights><dc:type>info:eu-repo/semantics/conferenceObject</dc:type><dc:identifier>https://munzur-rdlopen.rawdatalibrary.net/tr/items/munzur/4212</dc:identifier></oai_dc:dc></metadata></record></GetRecord></OAI-PMH>