Bio-Algorithms and Med-Systems最新文献_第3页

The Hiatus Between Organism and Machine Evolution: Contrasting Mixed Microbial Communities with Robots 有机体与机器进化之间的间隙:混合微生物群落与机器人的对比

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Bio-Algorithms and Med-Systems Pub Date : 2022-06-29 DOI: 10.48550/arXiv.2206.14916

A. Roli, S. Kauffman

{"title":"The Hiatus Between Organism and Machine Evolution: Contrasting Mixed Microbial Communities with Robots","authors":"A. Roli, S. Kauffman","doi":"10.48550/arXiv.2206.14916","DOIUrl":"https://doi.org/10.48550/arXiv.2206.14916","url":null,"abstract":"Mixed microbial communities, usually composed of various bacterial and fungal species, are fundamental in a plethora of environments, from soil to human gut and skin. Their evolution is a paradigmatic example of intertwined dynamics, where not just the relations among species plays a role, but also the opportunities-and possible harms-that each species presents to the others. These opportunities are in fact affordances, which can be seized by heritable variations and selection. In this paper, starting from a systemic viewpoint of mixed microbial communities, we focus on the pivotal role of affordances in evolution and we contrast it to the artificial evolution of programs and robots. We maintain that the two realms are neatly separated, in that natural evolution proceeds by extending the space of its possibilities in a completely open way, while the latter is inherently limited by the algorithmic framework in which it is defined. This discrepancy characterises also an envisioned setting in which robots evolve in the physical world. We present arguments supporting our claim and we propose an experimental setting for assessing our statements. Rather than just discussing the limitations of the artificial evolution of machines, the aim of this contribution is to emphasize the tremendous potential of the evolution of the biosphere, beautifully represented by the evolution of communities of microbes.","PeriodicalId":42620,"journal":{"name":"Bio-Algorithms and Med-Systems","volume":"1 1","pages":"104775"},"PeriodicalIF":1.2,"publicationDate":"2022-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83029371","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Editorial: 2020 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (IEEE CIBCB 2020) 2020 IEEE生物信息学与计算生物学计算智能会议(IEEE CIBCB 2020)

IF 1.2

Bio-Algorithms and Med-Systems Pub Date : 2022-05-01 DOI: 10.1016/j.biosystems.2022.104698

G. A. Ruz, D. Ashlock, R. Allmendinger, G. Fogel

引用次数: 0

Standard Genetic Code vs. Supersymmetry Genetic Code - Alphabetical table vs. physicochemical table 标准遗传密码vs.超对称遗传密码-字母顺序表vs.物理化学表

IF 1.2

Bio-Algorithms and Med-Systems Pub Date : 2022-05-01 DOI: 10.1016/j.biosystems.2022.104695

M. Rosandić, V. Paar

引用次数: 5

Structural and information-theoretic complexity measures of brain networks: Evolutionary aspects and implications 脑网络的结构和信息论复杂性测量:进化方面和影响

IF 1.2

Bio-Algorithms and Med-Systems Pub Date : 2022-05-01 DOI: 10.1016/j.biosystems.2022.104711

P. Saha, Debasish Sarkar

引用次数: 0

Evolving neural networks through bio-inspired parent selection in dynamic environments 在动态环境中通过生物启发的亲本选择进化神经网络

IF 1.2

Bio-Algorithms and Med-Systems Pub Date : 2022-05-01 DOI: 10.1016/j.biosystems.2022.104686

Junya Sunagawa, Ryo Yamaguchi, S. Nakaoka

引用次数: 0

Assessing normalization methods in mass spectrometry-based proteome profiling of clinical samples 评估基于质谱的临床样品蛋白质组分析的归一化方法

IF 1.2

Bio-Algorithms and Med-Systems Pub Date : 2022-03-02 DOI: 10.1016/j.biosystems.2022.104661

Etienne Dubois, Antonio Núñez Galindo, L. Dayon, O. Cominetti

引用次数: 7

Frontmatter Frontmatter

IF 1.2

Bio-Algorithms and Med-Systems Pub Date : 2022-03-01 DOI: 10.1515/bams-2022-frontmatter1

引用次数: 0

islEHR, a model for electronic health records interoperability islEHR，一种电子健康记录互操作性模型

IF 1.2

Bio-Algorithms and Med-Systems Pub Date : 2022-03-01 DOI: 10.1515/bams-2021-0117

Arwa Najjar, Belal M. Amro, Mário Macedo

{"title":"islEHR, a model for electronic health records interoperability","authors":"Arwa Najjar, Belal M. Amro, Mário Macedo","doi":"10.1515/bams-2021-0117","DOIUrl":"https://doi.org/10.1515/bams-2021-0117","url":null,"abstract":"Abstract Objectives Due to the diversity, volume, and distribution of ingested data, the majority of current healthcare entities operate independently, increasing the problem of data processing and interchange. The goal of this research is to design, implement, and evaluate an electronic health record (EHR) interoperability solution – prototype – among healthcare organizations, whether these organizations do not have systems that are prepared for data sharing, or organizations that have such systems. Methods We established an EHR interoperability prototype model named interoperability smart lane for electronic health record (islEHR), which comprises of three modules: 1) a data fetching APIs for external sharing of patients’ information from participant hospitals; 2) a data integration service, which is the heart of the islEHR that is responsible for extracting, standardizing, and normalizing EHRs data leveraging the fast healthcare interoperability resources (FHIR) and artificial intelligence techniques; 3) a RESTful API that represents the gateway sits between clients and the data integration services. Results The prototype of the islEHR was evaluated on a set of unstructured discharge reports. The performance achieved a total time of execution ranging from 0.04 to 84.49 s. While the accuracy reached an F-Score ranging from 1.0 to 0.89. Conclusions According to the results achieved, the islEHR prototype can be implemented among different heterogeneous systems regardless of their ability to share data. The prototype was built based on international standards and machine learning techniques that are adopted worldwide. Performance and correctness results showed that islEHR outperforms existing models in its diversity as well as correctness and performance.","PeriodicalId":42620,"journal":{"name":"Bio-Algorithms and Med-Systems","volume":"18 1","pages":"39 - 54"},"PeriodicalIF":1.2,"publicationDate":"2022-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41649019","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

What we have learned about evolutionary genome change in the past 7 decades 在过去的70年里，我们对进化基因组变化的了解

IF 1.2

Bio-Algorithms and Med-Systems Pub Date : 2022-03-01 DOI: 10.1016/j.biosystems.2022.104669

James A. Shapiro

引用次数: 7

Evolution, physics, and education 进化、物理和教育

IF 1.2

Bio-Algorithms and Med-Systems Pub Date : 2022-03-01 DOI: 10.1016/j.biosystems.2022.104663

C. Bejan

引用次数: 8