Lina Yan, Jeffrey Huy Khong, Aleksandar Kostadinov, Jerry Ying Hsi Fuh, Chih-Ming Ho
{"title":"A ubiquitous transfer function links interacting elements to emerging property of complex systems","authors":"Lina Yan, Jeffrey Huy Khong, Aleksandar Kostadinov, Jerry Ying Hsi Fuh, Chih-Ming Ho","doi":"arxiv-2408.03347","DOIUrl":null,"url":null,"abstract":"In the field of complex systems, self-organization magnifies the compounding\neffects of element interactions by propagating, modifying, and enhancing\nfunctionality, ultimately leading to emergent system properties. The\nintricacies of self-organization make unveiling the elusive link between\nelement interactions and emergent system properties akin to finding the\nproverbial Holy Grail. In the search for identifying a method to predict\nsystem-level properties, we used an inductive approach to bypass the\nself-organization. By observing drug interactions within biological complex\nsystem, system property, efficacy, emerged as a smooth response surface in the\nmulti-dimensional space of drug-system interactions, which can be represented\nby the Complex System Response (CSR) function. This CSR function has been\nsuccessfully validated across diverse disease models in cell lines, animals,\nand clinical trials. Notably, the CSR function reveals that biological complex\nsystems exhibit second-order non-linearity. In this study, we generalized the\nCSR function to physical complex systems, linking maximum compressive yielding\nstress to impactful manufacturing parameters of the Selective Laser Melting\n(SLM) process. Remarkably though anticipated, the CSR function reveals the\nconnection between the macroscale system property (compressive yielding stress)\nand the microstructure during self-organizing process. In addition, the\nsecond-order non-linear CSR functions ensure a single global optimum in complex\nsystems.","PeriodicalId":501040,"journal":{"name":"arXiv - PHYS - Biological Physics","volume":"79 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - PHYS - Biological Physics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2408.03347","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
In the field of complex systems, self-organization magnifies the compounding
effects of element interactions by propagating, modifying, and enhancing
functionality, ultimately leading to emergent system properties. The
intricacies of self-organization make unveiling the elusive link between
element interactions and emergent system properties akin to finding the
proverbial Holy Grail. In the search for identifying a method to predict
system-level properties, we used an inductive approach to bypass the
self-organization. By observing drug interactions within biological complex
system, system property, efficacy, emerged as a smooth response surface in the
multi-dimensional space of drug-system interactions, which can be represented
by the Complex System Response (CSR) function. This CSR function has been
successfully validated across diverse disease models in cell lines, animals,
and clinical trials. Notably, the CSR function reveals that biological complex
systems exhibit second-order non-linearity. In this study, we generalized the
CSR function to physical complex systems, linking maximum compressive yielding
stress to impactful manufacturing parameters of the Selective Laser Melting
(SLM) process. Remarkably though anticipated, the CSR function reveals the
connection between the macroscale system property (compressive yielding stress)
and the microstructure during self-organizing process. In addition, the
second-order non-linear CSR functions ensure a single global optimum in complex
systems.