{"id":"https://openalex.org/W4406379425","doi":"https://doi.org/10.1145/3708360.3708381","title":"Prey predator model with Beddington-DeAngelis functional response","display_name":"Prey predator model with Beddington-DeAngelis functional response","publication_year":2024,"publication_date":"2024-11-08","ids":{"openalex":"https://openalex.org/W4406379425","doi":"https://doi.org/10.1145/3708360.3708381"},"language":"en","primary_location":{"id":"doi:10.1145/3708360.3708381","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3708360.3708381","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 International Conference on Mathematics and Machine Learning","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5086699684","display_name":"Dongyang Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I921716337","display_name":"Northeast Petroleum University","ror":"https://ror.org/03net5943","country_code":"CN","type":"education","lineage":["https://openalex.org/I921716337"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Dongyang Wang","raw_affiliation_strings":["School of Mathematics and Statistics, Northeast Petroleum University, Daqing, Heilongjiang, China"],"affiliations":[{"raw_affiliation_string":"School of Mathematics and Statistics, Northeast Petroleum University, Daqing, Heilongjiang, China","institution_ids":["https://openalex.org/I921716337"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100324802","display_name":"Yang Gao","orcid":"https://orcid.org/0000-0003-1952-3955"},"institutions":[{"id":"https://openalex.org/I921716337","display_name":"Northeast Petroleum University","ror":"https://ror.org/03net5943","country_code":"CN","type":"education","lineage":["https://openalex.org/I921716337"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Gao","raw_affiliation_strings":["School of Mathematics and Statistics, Northeast Petroleum University, Daqing, Heilongjiang, China"],"affiliations":[{"raw_affiliation_string":"School of Mathematics and Statistics, Northeast Petroleum University, Daqing, Heilongjiang, China","institution_ids":["https://openalex.org/I921716337"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5086699684"],"corresponding_institution_ids":["https://openalex.org/I921716337"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.39019832,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"127","last_page":"131"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10482","display_name":"Mathematical and Theoretical Epidemiology and Ecology Models","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2739","display_name":"Public Health, Environmental and Occupational Health"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T10482","display_name":"Mathematical and Theoretical Epidemiology and Ecology Models","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2739","display_name":"Public Health, Environmental and Occupational Health"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10288","display_name":"Fractional Differential Equations Solutions","score":0.9832000136375427,"subfield":{"id":"https://openalex.org/subfields/2611","display_name":"Modeling and Simulation"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11764","display_name":"Evolution and Genetic Dynamics","score":0.9656000137329102,"subfield":{"id":"https://openalex.org/subfields/1311","display_name":"Genetics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/functional-response","display_name":"Functional response","score":0.8956589102745056},{"id":"https://openalex.org/keywords/predation","display_name":"Predation","score":0.7790765166282654},{"id":"https://openalex.org/keywords/predator","display_name":"Predator","score":0.6365115642547607},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5327593684196472},{"id":"https://openalex.org/keywords/ecology","display_name":"Ecology","score":0.23223498463630676},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.20449233055114746}],"concepts":[{"id":"https://openalex.org/C110201527","wikidata":"https://www.wikidata.org/wiki/Q5508845","display_name":"Functional response","level":4,"score":0.8956589102745056},{"id":"https://openalex.org/C188382862","wikidata":"https://www.wikidata.org/wiki/Q170430","display_name":"Predation","level":2,"score":0.7790765166282654},{"id":"https://openalex.org/C96857902","wikidata":"https://www.wikidata.org/wiki/Q2138108","display_name":"Predator","level":3,"score":0.6365115642547607},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5327593684196472},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.23223498463630676},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.20449233055114746}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3708360.3708381","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3708360.3708381","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 International Conference on Mathematics and Machine Learning","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W2022899676","https://openalex.org/W2038985899","https://openalex.org/W2170031024","https://openalex.org/W4210891478","https://openalex.org/W4225412314","https://openalex.org/W4312204786","https://openalex.org/W4366124065","https://openalex.org/W4386100543","https://openalex.org/W4389396069"],"related_works":["https://openalex.org/W2168669462","https://openalex.org/W4233887507","https://openalex.org/W2061879675","https://openalex.org/W2192426841","https://openalex.org/W2067000585","https://openalex.org/W4323811225","https://openalex.org/W2164070575","https://openalex.org/W4311356582","https://openalex.org/W2163677464","https://openalex.org/W2103498027"],"abstract_inverted_index":{"In":[0],"this":[1],"study,":[2],"the":[3,13,16,20,23,32,35,40,45,74,82,86,89,107,119],"prey":[4,52],"predator":[5,17,59],"model":[6,46],"with":[7,53,60],"different":[8],"genotypes":[9],"are":[10,42],"discussed,":[11],"Considering":[12],"interference":[14,114],"within":[15],"population":[18,120],"during":[19],"predation":[21],"process,":[22],"Beddington-DeAngelies":[24],"type":[25],"functional":[26],"response":[27],"function":[28,91],"was":[29],"added":[30],"to":[31,49,66,80,94,105],"model.":[33],"Firstly,":[34],"positive":[36],"and":[37,57,71],"boundedness":[38],"of":[39,85,121],"understanding":[41],"proved,":[43],"Subsequently,":[44],"is":[47,78,92,103],"modified":[48],"include":[50],"a":[51,54,58,61],"single":[55,62],"genotype":[56,63],"in":[64],"order":[65],"analyze":[67],"its":[68,96],"equilibrium":[69],"point":[70],"stability.":[72,99],"Then":[73],"Routh":[75],"Hurwitz":[76],"criterion":[77],"employed":[79],"demonstrate":[81],"local":[83],"stability":[84],"model,":[87],"while":[88],"Lyapunov":[90],"formulated":[93],"establish":[95],"global":[97],"asymptotic":[98],"Finally,":[100],"numerical":[101],"simulation":[102],"used":[104],"verify":[106],"results.":[108],"It":[109],"also":[110],"demonstrated":[111],"that":[112],"moderate":[113],"among":[115],"predators":[116],"can":[117],"regulate":[118],"prey.":[122]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}