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Conceptual Modelling In Computational Immunology


Conceptual Modelling In Computational Immunology
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Conceptual Modelling In Computational Immunology


Conceptual Modelling In Computational Immunology
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Author : Martina Husáková
language : en
Publisher: Tomáš Bruckner
Release Date : 2015-09-10

Conceptual Modelling In Computational Immunology written by Martina Husáková and has been published by Tomáš Bruckner this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-09-10 with Computers categories.


Computational immunology offers in silico strategies for understanding of complex processes occurring in the natural immune system of a living organism that are difficult to explore by traditional in vivo or in vitro techniques. The monograph introduces conceptual languages and approaches for modelling biological processes. The Agent Modelling Language is investigated for conceptualisation of immune processes. AML-based diagrams represent properties and processes occurring in a lymph node.



Conceptual Modelling In Computational Immunology


Conceptual Modelling In Computational Immunology
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Author : Martina Husakova
language : en
Publisher: Tomas Bruckner
Release Date : 2015-09-10

Conceptual Modelling In Computational Immunology written by Martina Husakova and has been published by Tomas Bruckner this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-09-10 with Computers categories.


The natural immune system is an amazing complex system aiming at the homeostasis maintenance of a living organism. The non-linear, dynamic and complex nature of this system renders the behaviour far from predictable. This fact complicates exploration of immune processes and their understanding with traditional in vivo or in vitro strategies. Techniques of computer science are a promising alternative for the investigation of the natural immune system. Computational immunology investigates an inner life of the natural immune system with the assistance of various approaches of computer science (artificial or computational intelligence), mathematics, physics or statistics. It offers in silico strategies helping with the understanding of phenomena that are difficult to explore through traditional techniques. The monograph introduces the historical context of this research area and the first computer science-based applications. It concentrates mainly on conceptual modelling of various biological processes with the usage of particular conceptual languages and approaches (concept maps, entity-relationship diagrams, ontologies, topic maps, SBML, CellML, SBGN, statecharts and UML) differing in the degree of formality and use. Conceptual models are crucial, because they highlight the most important "players" of immune processes and relations between them. Conceptualisation is inevitable especially if we study really complex system. The primary goal of the monograph is to investigate the usefulness of the Agent Modelling Language for conceptualisation of particular immune processes. The Agent Modelling Language (AML) extends the UML for conceptualisation of multi-agent systems. The natural immune system is perceived as the multi-agent system in the monograph. Selected types of AML-based diagrams represent properties and processes occurring in a secondary lymphoid organ - a lymph node where interactions between T-cells and dendritic cells are mainly taken into account.



Computational Collective Intelligence


Computational Collective Intelligence
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Author : Manuel Núñez
language : en
Publisher: Springer
Release Date : 2015-09-09

Computational Collective Intelligence written by Manuel Núñez and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-09-09 with Computers categories.


This two-volume set (LNAI 9329 and LNAI 9330) constitutes the refereed proceedings of the 7th International Conference on Collective Intelligence, ICCCI 2014, held in Madrid, Spain, in September 2015. The 110 full papers presented were carefully reviewed and selected from 186 submissions. They are organized in topical sections such as multi-agent systems; social networks and NLP; sentiment analysis; computational intelligence and games; ontologies and information extraction; formal methods and simulation; neural networks, SMT and MIS; collective intelligence in Web systems – Web systems analysis; computational swarm intelligence; cooperative strategies for decision making and optimization; advanced networking and security technologies; IT in biomedicine; collective computational intelligence in educational context; science intelligence and data analysis; computational intelligence in financial markets; ensemble learning; big data mining and searching.



New Trends In Intelligent Information And Database Systems


New Trends In Intelligent Information And Database Systems
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Author : Dariusz Barbucha
language : en
Publisher: Springer
Release Date : 2015-03-22

New Trends In Intelligent Information And Database Systems written by Dariusz Barbucha and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-03-22 with Technology & Engineering categories.


Intelligent information and database systems are two closely related subfields of modern computer science which have been known for over thirty years. They focus on the integration of artificial intelligence and classic database technologies to create the class of next generation information systems. The book focuses on new trends in intelligent information and database systems and discusses topics addressed to the foundations and principles of data, information, and knowledge models, methodologies for intelligent information and database systems analysis, design, and implementation, their validation, maintenance and evolution. They cover a broad spectrum of research topics discussed both from the practical and theoretical points of view such as: intelligent information retrieval, natural language processing, semantic web, social networks, machine learning, knowledge discovery, data mining, uncertainty management and reasoning under uncertainty, intelligent optimization techniques in information systems, security in databases systems, and multimedia data analysis. Intelligent information systems and their applications in business, medicine and industry, database systems applications, and intelligent internet systems are also presented and discussed in the book. The book consists of 38 chapters based on original works presented during the 7th Asian Conference on Intelligent Information and Database Systems (ACIIDS 2015) held on 23–25 March 2015 in Bali, Indonesia. The book is divided into six parts related to Advanced Machine Learning and Data Mining, Intelligent Computational Methods in Information Systems, Semantic Web, Social Networks and Recommendation Systems, Cloud Computing and Intelligent Internet Systems, Knowledge and Language Processing, and Intelligent Information and Database Systems: Applications.



Advances In Bioinformatics And Computational Biology


Advances In Bioinformatics And Computational Biology
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Author : Osmar Norberto de Souza
language : en
Publisher: Springer Science & Business Media
Release Date : 2011-07-21

Advances In Bioinformatics And Computational Biology written by Osmar Norberto de Souza and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-07-21 with Computers categories.


This book constitutes the proceedings of the 6th Brazilian Symposium on Bioinformatics, BSB 2011, held in Brasília, Brazil, in August 2011. The 8 full papers and 4 extended abstracts presented were carefully peer-reviewed and selected for inclusion in this book. The BSB topics of interest cover many areas of bioinformatics that range from theoretical aspects of problems in bioinformatics to applications in molecular biology, biochemistry, genetics, and associated subjects.



Complex Systems And Computational Biology Approaches To Acute Inflammation


Complex Systems And Computational Biology Approaches To Acute Inflammation
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Author : Yoram Vodovotz
language : en
Publisher: Springer Nature
Release Date : 2020-11-04

Complex Systems And Computational Biology Approaches To Acute Inflammation written by Yoram Vodovotz and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-11-04 with Medical categories.


This second edition expands upon and updates the vital research covered in its predecessor, by presenting state-of-the-art multidisciplinary and systems-oriented approaches to complex diseases arising from and driven by the acute inflammatory response. The chapters in this volume provide an introduction to different types of computational modeling, and how these methods can be applied to specific inflammatory diseases, with a focus on providing readers a roadmap for integrating advanced mathematical and computational techniques with traditional experimental methods. In this second edition, we cover both well-established and emerging modeling methods, especially state-of-the-art machine learning approaches and the integration of data-driven and mechanistic modeling. This volume introduces the concept of Model-based Precision Medicine as an alternative approach to the current view of Precision Medicine, based on leveraging mechanistic computational modeling to decrease cost while increasing the information value of the data being obtained. By presenting the role of computational modeling as an integrated component of the research process, Complex Systems and Computational Biology Approaches to Acute Inflammation: A Framework for Model-based Precision Medicine offers a window into the recent past, the present, and the future of computationally-augmented biomedical research.



Encyclopedia Of Bioinformatics And Computational Biology


Encyclopedia Of Bioinformatics And Computational Biology
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Author :
language : en
Publisher: Elsevier
Release Date : 2018-08-21

Encyclopedia Of Bioinformatics And Computational Biology written by and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-08-21 with Medical categories.


Encyclopedia of Bioinformatics and Computational Biology: ABC of Bioinformatics, Three Volume Set combines elements of computer science, information technology, mathematics, statistics and biotechnology, providing the methodology and in silico solutions to mine biological data and processes. The book covers Theory, Topics and Applications, with a special focus on Integrative –omics and Systems Biology. The theoretical, methodological underpinnings of BCB, including phylogeny are covered, as are more current areas of focus, such as translational bioinformatics, cheminformatics, and environmental informatics. Finally, Applications provide guidance for commonly asked questions. This major reference work spans basic and cutting-edge methodologies authored by leaders in the field, providing an invaluable resource for students, scientists, professionals in research institutes, and a broad swath of researchers in biotechnology and the biomedical and pharmaceutical industries. Brings together information from computer science, information technology, mathematics, statistics and biotechnology Written and reviewed by leading experts in the field, providing a unique and authoritative resource Focuses on the main theoretical and methodological concepts before expanding on specific topics and applications Includes interactive images, multimedia tools and crosslinking to further resources and databases



The Ontology Of Physics For Biology


The Ontology Of Physics For Biology
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Author : Daniel L. Cook
language : en
Publisher: CRC Press
Release Date : 2023-12-14

The Ontology Of Physics For Biology written by Daniel L. Cook and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-12-14 with Science categories.


This book introduces semantic representations of multiscale, multidomain physiological systems that link to qualitative reasoning and to quantitative analysis of biophysical processes in health and disease. Two major public health problems, diabetes and hypertension, serve as use-cases to illustrate the depth and rigor of such representations for logical inference and quantitative analysis. Central to this approach is the Ontology of Physics for Biology (OPB) that formally represents the foundations of classical physics and engineering system dynamics that are the basis for our understanding of biomedical entities, processes, and functional relationships. Furthermore, we introduce OPB-based software for annotating and abstracting available biosimulation models for reuse, recombination, and for archiving of physics-based biomedical knowledge. We have formalized and leveraged physics-based biological knowledge as a working view of physiology and biophysics from three distinct perspectives: (1) biologists and biomedical investigators, (2) biophysicists and bioengineers, and (3) biomedical ontologists and informaticists. We present a logical and intuitive semantics of classical physics as a tool for mediating and translating biophysical knowledge among biomedical domains. Daniel L. Cook, MD, PhD John H. Gennari, PhD Maxwell L. Neal, PhD



Personalized Learning


Personalized Learning
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Author : Simon Cheung
language : en
Publisher: Taylor & Francis
Release Date : 2023-10-24

Personalized Learning written by Simon Cheung and has been published by Taylor & Francis this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-10-24 with Education categories.


This self-contained monograph reports the recent approaches, methods and practices of technology-enabled personalized learning. It serves to provide some useful references for researchers and practitioners in the field in conceptualizing and deploying personalized learning. Personalized learning emphasizes student-centred learning that addresses individual learning strengths, needs, skills, and interests, and allows flexibility in the learning mode, process, time and space, where students can take ownership of their learning. It has been practiced in educational institutions at both K-12 and higher education level and, as evident from several successful cases, is an enabler of personalized learning. Educational technology incorporated with other forms of innovative pedagogical practices, such as blended learning, makes personalized learning a reality to achieve its aims effectively and efficiently. This book begins with a critical review on the features and trends of personalized learning. This is followed by a number of case studies on personalized learning practices with promising results. The latest research findings on the approaches, methods and strategies on design and implementation of personalized learning are then reported. Lastly, the prospects of personalized learning are discussed. All these provide some useful references for researchers and practitioners in the field in conceptualizing and deploying personalized learning. Personalized Learning will be a key resource for academics, researchers, and advanced students of education, instructional design and technology, educational research, educational technology, research methods, STEM Education, information and communications technology, and curriculum and instruction. The chapters included in this book were originally published as a special issue of Interactive Learning Environments.



Translational Systems Biology


Translational Systems Biology
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Author : Yoram Vodovotz
language : en
Publisher: Elsevier
Release Date : 2014-10-08

Translational Systems Biology written by Yoram Vodovotz and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-10-08 with Technology & Engineering categories.


Are we satisfied with the rate of drug development? Are we happy with the drugs that come to market? Are we getting our money's worth in spending for basic biomedical research? In Translational Systems Biology, Drs. Yoram Vodovotz and Gary An address these questions by providing a foundational description the barriers facing biomedical research today and the immediate future, and how these barriers could be overcome through the adoption of a robust and scalable approach that will form the underpinning of biomedical research for the future. By using a combination of essays providing the intellectual basis of the Translational Dilemma and reports of examples in the study of inflammation, the content of Translational Systems Biology will remain relevant as technology and knowledge advances bring broad translational applicability to other diseases. Translational systems biology is an integrated, multi-scale, evidence-based approach that combines laboratory, clinical and computational methods with an explicit goal of developing effective means of control of biological processes for improving human health and rapid clinical application. This comprehensive approach to date has been utilized for in silico studies of sepsis, trauma, hemorrhage, and traumatic brain injury, acute liver failure, wound healing, and inflammation. - Provides an explicit, reasoned, and systematic approach to dealing with the challenges of translational science across disciplines - Establishes the case for including computational modeling at all stages of biomedical research and healthcare delivery, from early pre-clinical studies to long-term care, by clearly delineating efficiency and costs saving important to business investment - Guides readers on how to communicate across domains and disciplines, particularly between biologists and computational researchers, to effectively develop multi- and trans-disciplinary research teams