Erwin Bauer, Miklós Müller, Abir U Igamberdiev, Gábor Elek, George E Mikhailovsky
{"title":"生物学作为一门纯粹的自然科学的基本原理及其在生理学和病理学中的应用。","authors":"Erwin Bauer, Miklós Müller, Abir U Igamberdiev, Gábor Elek, George E Mikhailovsky","doi":"10.1016/j.biosystems.2025.105425","DOIUrl":null,"url":null,"abstract":"","PeriodicalId":50730,"journal":{"name":"Biosystems","volume":" ","pages":"105425"},"PeriodicalIF":2.0000,"publicationDate":"2025-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Fundamental principles of biology as a pure natural science and their applications in physiology and pathology.\",\"authors\":\"Erwin Bauer, Miklós Müller, Abir U Igamberdiev, Gábor Elek, George E Mikhailovsky\",\"doi\":\"10.1016/j.biosystems.2025.105425\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\",\"PeriodicalId\":50730,\"journal\":{\"name\":\"Biosystems\",\"volume\":\" \",\"pages\":\"105425\"},\"PeriodicalIF\":2.0000,\"publicationDate\":\"2025-02-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Biosystems\",\"FirstCategoryId\":\"99\",\"ListUrlMain\":\"https://doi.org/10.1016/j.biosystems.2025.105425\",\"RegionNum\":4,\"RegionCategory\":\"生物学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"BIOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Biosystems","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1016/j.biosystems.2025.105425","RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"BIOLOGY","Score":null,"Total":0}
期刊介绍:
BioSystems encourages experimental, computational, and theoretical articles that link biology, evolutionary thinking, and the information processing sciences. The link areas form a circle that encompasses the fundamental nature of biological information processing, computational modeling of complex biological systems, evolutionary models of computation, the application of biological principles to the design of novel computing systems, and the use of biomolecular materials to synthesize artificial systems that capture essential principles of natural biological information processing.