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Complex Systems Science in Biomedicine
Complex Systems Science in Biomedicine Thomas S. Deisboeck and J. Yasha Kresh Complex Systems Science in Biomedicine covers the emerging field of systems science involving the application of physics, mathematics, engineering and computational methods and techniques to the study of biomedicine including nonlinear dynamics at the molecular, cellular, multi-cellular tissue, and organismic level. With all chapters helmed by leading scientists in the field, Complex Systems Science in Biomedicine's goal is to offer its audience a timely compendium of the ongoing research directed to the understanding of biological processes as whole systems instead of as isolated component parts. In Parts I & II, ...
Computational Neurogenetic Modeling
This is a student text, introducing the scope and problems of a new scientific discipline - Computational Neurogenetic Modeling (CNGM). CNGM is concerned with the study and development of dynamic neuronal models for modeling brain functions with respect to genes and dynamic interactions between genes. These include neural network models and their integration with gene network models. This new area brings together knowledge from various scientific disciplines.
Coronavirus Disease (COVID-19): Pathophysiology, Epidemiology, Clinical Management and Public Health Response
Volume I.A An outbreak of a respiratory disease first reported in Wuhan, China in December 2019 and the causative agent was discovered in January 2020 to be a novel betacoronovirus of the same subgenus as SARS-CoV and named severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Coronavirus disease 2019 (COVID-19) has rapidly disseminated worldwide, with clinical manifestations ranging from mild respiratory symptoms to severe pneumonia and a fatality rate estimated around 2%. Person to person transmission is occurring both in the community and healthcare settings. The World Health Organization (WHO) has recently declared the COVID-19 epidemic a public health emergency of international ...
Unifying Themes in Complex Systems
In recent years, scientists have applied the principles of complex systems science to increasingly diverse fields. The results have been nothing short of remarkable. The Third International Conference on Complex Systems attracted over 400 researchers from around the world. The conference aimed to encourage cross-fertilization between the many disciplines represented and to deepen our understanding of the properties common to all complex systems.
Federalism and Subsidiarity
"In Federalism and Subsidiarity, a distinguished interdisciplinary group of scholars in political science, law, and philosophy address the application and interaction of the concept of federalism within law and government. What are the best justifications for and conceptions of federalism? What are the most useful criteria for deciding what powers should be allocated to national governments and what powers reserved to state or provincial governments? What are the implications of the principle of subsidiarity for such questions? What should be the constitutional standing of cities in federations? Do we need to "remap" federalism to reckon with the emergence of translocal and transnational organizations with porous boundaries that are not reflected in traditional jurisdictional conceptions? Examining these questions and more, this latest installation in the NOMOS series sheds new light on the allocation of power within federations"--
Knowledge Guided Machine Learning
Given their tremendous success in commercial applications, machine learning (ML) models are increasingly being considered as alternatives to science-based models in many disciplines. Yet, these "black-box" ML models have found limited success due to their inability to work well in the presence of limited training data and generalize to unseen scenarios. As a result, there is a growing interest in the scientific community on creating a new generation of methods that integrate scientific knowledge in ML frameworks. This emerging field, called scientific knowledge-guided ML (KGML), seeks a distinct departure from existing "data-only" or "scientific knowledge-only" methods to use knowledge and d...
Humanities, Science, Scimat: From Two Cultures To Bettering Humanity
The humanities (and social science) are the disciplines that study human, which are essential in helping us to understand ourselves and others and the world around us. Since science is the study of everything in the universe and human is a material system consisting of the same atoms that make up other nonhuman systems, humanities are part of science. Thus, understanding correctly what science is about will be helpful in making progress in the humanities. To patch up the gap between the 'two cultures' derived from these two branches of knowledge, the best way is to recognize their common root in science and work through humanities-science synthesis, as advocated by Scimat, the new multidisci...
Data Integration in the Life Sciences
For several years now, there has been an exponential growth of the amount of life science data (e. g. , sequenced complete genomes, 3D structures, DNA chips, mass spectroscopy data), most of which are generated by high-throughput - periments. This exponentialcorpusof data is storedand made availablethrough a large number of databases and resources over the Web, but unfortunately still with a high degreeof semantic heterogeneity and varying levels of quality. These data must be combined together and processed by bioinformatics tools deployed on powerful and e?cient platforms to permit the uncovering of patterns, s- ilarities and in general to help in the process of discovery. Analyzing comple...
Contemporary research in minoritized and diaspora languages of Europe
This volume provides a collection of research reports on multilingualism and language contact ranging from Romance, to Germanic, Greco and Slavic languages in situations of contact and diaspora. Most of the contributions are empirically-oriented studies presenting first-hand data based on original fieldwork, and a few focus directly on the methodological issues in such research. Owing to the multifaceted nature of contact and diaspora phenomena (e.g. the intrinsic transnational essence of contact and diaspora, and the associated interplay between majority and minoritized languages and multilingual practices in different contact settings, contact-induced language change, and issues relating t...
Simulation Modeling
The book presents some recent specialized works of a theoretical and practical nature in the field of simulation modeling, which is being addressed to a large number of specialists, mathematicians, doctors, engineers, economists, professors, and students. The book comprises 11 chapters that promote modern mathematical algorithms and simulation modeling techniques, in practical applications, in the following thematic areas: mathematics, biomedicine, systems of systems, materials science and engineering, energy systems, and economics. This project presents scientific papers and applications that emphasize the capabilities of simulation modeling methods, helping readers to understand the phenomena that take place in the real world, the conditions of their development, and their effects, at a high scientific and technical level. The authors have published work examples and case studies that resulted from their researches in the field. The readers get new solutions and answers to questions related to the emerging applications of simulation modeling and their advantages.
