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Dynamics of Complex Interconnected Systems: Networks and Bioprocesses

Dynamics of Complex Interconnected Systems: Networks and Bioprocesses
Author: Arne T. Skjeltorp
Publisher: Springer Science & Business Media
Total Pages: 222
Release: 2006-12-22
Genre: Science
ISBN: 1402050305

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This book reviews the synergism between various fields of research that are confronted with networks, such as genetic and metabolic networks, social networks, the Internet and ecological systems. In many cases, the interacting networks manifest so-called emergent properties that are not possessed by any of the individual components. Knowledge gained from the study of complex non-biological systems can be applied to the intricate braided relationships that govern cellular functions.


Dynamics of Complex Interconnected Biological Systems

Dynamics of Complex Interconnected Biological Systems
Author: Jennings
Publisher: Springer Science & Business Media
Total Pages: 345
Release: 2012-12-06
Genre: Mathematics
ISBN: 1468467840

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This volume contains the proceedings of the U.S. Australia workshop on Complex Interconnected Biological Systems held in Albany, Western Australia January 1-5, 1989. The workshop was jointly sponsored by the Department of Industry, Trade and Commerce (Australia), and the Na tional Science Foundation (USA) under the US-Australia agreement. Biological systems are typically hard to study mathematically. This is particularly so in the case of systems with strong interconnections, such as ecosystems or networks of neurons. In the past few years there have been substantial improvements in the mathematical tools available for study ing complexity. Theoretical advances include substantially improved un derstanding of the features of nonlinear systems that lead to important behaviour patterns such as chaos. Practical advances include improved modelling techniques, and deeper understanding of complexity indicators such as fractal dimension. Game theory is now playing an increasingly important role in under standing and describing evolutionary processes in interconnected systems. The strategies of individuals which affect each other's fitness may be incor porated into models as parameters. Strategies which have the property of evolutionary stabilty result from particular parameter values which may be the main feature of living determined using game theoretic methods. Since systems is that they evolve, it seems appropriate that any model used to describe such systems should have this feature as well. Evolutionary game theory should lead the way in the development of such methods.


Statistical Bioinformatics

Statistical Bioinformatics
Author: Jae K. Lee
Publisher: John Wiley & Sons
Total Pages: 337
Release: 2011-09-20
Genre: Medical
ISBN: 1118211529

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This book provides an essential understanding of statistical concepts necessary for the analysis of genomic and proteomic data using computational techniques. The author presents both basic and advanced topics, focusing on those that are relevant to the computational analysis of large data sets in biology. Chapters begin with a description of a statistical concept and a current example from biomedical research, followed by more detailed presentation, discussion of limitations, and problems. The book starts with an introduction to probability and statistics for genome-wide data, and moves into topics such as clustering, classification, multi-dimensional visualization, experimental design, statistical resampling, and statistical network analysis. Clearly explains the use of bioinformatics tools in life sciences research without requiring an advanced background in math/statistics Enables biomedical and life sciences researchers to successfully evaluate the validity of their results and make inferences Enables statistical and quantitative researchers to rapidly learn novel statistical concepts and techniques appropriate for large biological data analysis Carefully revisits frequently used statistical approaches and highlights their limitations in large biological data analysis Offers programming examples and datasets Includes chapter problem sets, a glossary, a list of statistical notations, and appendices with references to background mathematical and technical material Features supplementary materials, including datasets, links, and a statistical package available online Statistical Bioinformatics is an ideal textbook for students in medicine, life sciences, and bioengineering, aimed at researchers who utilize computational tools for the analysis of genomic, proteomic, and many other emerging high-throughput molecular data. It may also serve as a rapid introduction to the bioinformatics science for statistical and computational students and audiences who have not experienced such analysis tasks before.


Dynamics On and Of Complex Networks

Dynamics On and Of Complex Networks
Author: Niloy Ganguly
Publisher: Springer Science & Business Media
Total Pages: 310
Release: 2009-04-14
Genre: Computers
ISBN: 0817647503

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This self-contained book systematically explores the statistical dynamics on and of complex networks having relevance across a large number of scientific disciplines. The theories related to complex networks are increasingly being used by researchers for their usefulness in harnessing the most difficult problems of a particular discipline. The book is a collection of surveys and cutting-edge research contributions exploring the interdisciplinary relationship of dynamics on and of complex networks. Topics covered include complex networks found in nature—genetic pathways, ecological networks, linguistic systems, and social systems—as well as man-made systems such as the World Wide Web and peer-to-peer networks. The contributed chapters in this volume are intended to promote cross-fertilization in several research areas, and will be valuable to newcomers in the field, experienced researchers, practitioners, and graduate students interested in systems exhibiting an underlying complex network structure in disciplines such as computer science, biology, statistical physics, nonlinear dynamics, linguistics, and the social sciences.


Visual Information Communication

Visual Information Communication
Author: Mao Lin Huang
Publisher: Springer Science & Business Media
Total Pages: 375
Release: 2009-10-20
Genre: Computers
ISBN: 1441903127

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Visual communication through graphical and sign languages has long been conducted among human beings of different backgrounds and cultures, and in recent decades between human and machine. In today's digital world, visual information is typically encoded with various metaphors commonly used in daily life to facilitate rapid comprehension and easy analysis during the communication process. Visual information communication generally encompasses information visualization, graphical user-interfaces, visual analytics, visual languages and multi-media processing. It has been successfully employed in knowledge discovery, end-user programming, modeling, rapid systems prototyping, education, and design activities by people of many disciplines including architects, artists, children, engineers, and scientists. In addition, visual information is increasingly being used to facilitate human-human communication through the Internet and Web technology, and electronic mobile devices. This manuscript provides the cutting-edge techniques, approaches and the latest ongoing researches in the context of visual information communication. It is a collection of 24 chapters selected from more than 60 submissions to the VINCI'09 - 2009 Visual Information Communications International Conference, that is held in Sydney Australia, September 2009. These chapters were selected through a stringent review process to ensure their high standard in quality, significance and relevance. Each chapter was reviewed by at least two international Program Committee members of VINCI’09. The book covers a broad range of contents in five key sub-areas of visual information communication, including.


Modeling Excitable Tissue

Modeling Excitable Tissue
Author: Aslak Tveito
Publisher: Springer Nature
Total Pages: 116
Release: 2020-10-30
Genre: Mathematics
ISBN: 3030611574

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This open access volume presents a novel computational framework for understanding how collections of excitable cells work. The key approach in the text is to model excitable tissue by representing the individual cells constituting the tissue. This is in stark contrast to the common approach where homogenization is used to develop models where the cells are not explicitly present. The approach allows for very detailed analysis of small collections of excitable cells, but computational challenges limit the applicability in the presence of large collections of cells.


Rock Physics and Natural Hazards

Rock Physics and Natural Hazards
Author: Sergio Vinciguerra
Publisher: Springer Science & Business Media
Total Pages: 426
Release: 2009-11-28
Genre: Science
ISBN: 3034601220

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Natural hazards events such as earthquakes or volcanic eruptions involve activation of coupled thermo-hydro-chemo-mechanical processes in rocks. The present book assembles unpublished contributions to the 7th Euro-Conference on Rock Physics and Geomechanics, held in 2007 in Erice, Italy. It presents new laboratory data, theoretical and numerical rock physics models and field observations relevant to the study of natural hazards. In particular, several papers are devoted to rock failure and explore the relationship between the competing deformation micro-mechanisms. Several others investigate shear-induced anisotropy of mechanical and/or transport properties, both in large-scale geologic objects and in laboratory samples. The remaining papers treat various aspects of rock physics and their industrial applications such as geothermics and reservoir characterization.


Evolution from Cellular to Social Scales

Evolution from Cellular to Social Scales
Author: Arne T. Skjeltorp
Publisher: Springer Science & Business Media
Total Pages: 197
Release: 2008-09-26
Genre: Science
ISBN: 1402087616

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Evolution is a critical challenge for many areas of science, technology and development of society. The book reviews general evolutionary facts such as origin of life and evolution of the genome and clues to evolution through simple systems. Emerging areas of science such as "systems biology" and "bio-complexity" are founded on the idea that phenomena need to be understood in the context of highly interactive processes operating at different levels and on different scales. This is where physics meets complexity in nature, and where we must begin to learn about complexity if we are to understand it. Similarly, there is an increasingly urgent need to understand and predict the evolutionary behavior of highly interacting man-made systems, in areas such as communications and transport, which permeate the modern world. The same applies to the evolution of human networks such as social, political and financial systems, where technology has tended to vastly increase both the complexity and speed of interaction, which is sometimes effectively instantaneous. The book contains reviews on such diverse areas as evolution experiments with microorganisms, the origin and evolution of viruses, evolutionary dynamics of genes and environment in cancer development, aging as an evolution-facilitating program, evolution of vision and evolution of financial markets.