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Medical Data Analysis
The International Symposium on Medical Data Analysis is an important - riodical opportunity to exchange ideas and ?rst-hand experiences with groups interested in the medical applications of innovative hardware and software tools. The massive information available through continuous improvements in the various modeling approaches to Medical Data Analysis is re?ected in the - sults, dealing with quite di?erent topics, presented during the Third Edition of the Symposium (ISMDA 2002). They have been grouped into the following four categories: (1) Data Mining and Decision Support Systems; (2) Medical Informatics and Modeling; (3) Time-Series Analysis; and (4) Medical Imaging. In setting up the symposium program we tried to avoid, even with the sho- age of time, parallel sessions. Thus, all participants had the chance to catch all the oral presentations, and we hope that this third proceedings volume will extend this chance also to non-participants. As for the previous volumes, it c- tains extensive up-to-date chapters on Medical Data Analysis, packed with ideas, suggestions, and solutions to many problems typical of this ?eld.
Protein and Peptide Folding, Misfolding, and Non-Folding
Sheds new light on intrinsically disordered proteins and peptides, including their role in neurodegenerative diseases With the discovery of intrinsically disordered proteins and peptides (IDPs), researchers realized that proteins do not necessarily adopt a well defined secondary and tertiary structure in order to perform biological functions. In fact, IDPs play biologically relevant roles, acting as inhibitors, scavengers, and even facilitating DNA/RNA-protein interactions. Due to their propensity for self-aggregation and fibril formation, some IDPs are involved in neurodegenerative diseases such as Parkinson's and Alzheimer's. With contributions from leading researchers, this text reviews t...
Handbook on Biological Networks
Networked systems are all around us. The accumulated evidence of systems as complex as a cell cannot be fully understood by studying only their isolated constituents, giving rise to a new area of interest in research OCo the study of complex networks . In a broad sense, biological networks have been one of the most studied networks, and the field has benefited from many important contributions. By understanding and modeling the structure of a biological network, a better perception of its dynamical and functional behavior is to be expected. This unique book compiles the most relevant results and novel insights provided by network theory in the biological sciences, ranging from the structure ...
Intrinsically Disordered Proteins
In this brief, Vladimir Uversky discusses the paradigm-shifting phenomenon of intrinsically disordered proteins (IDPs) and hybrid proteins containing ordered domains and functional IDP regions (IDPRs). Beginning with an introduction to the concept of protein intrinsic disorder, Uversky then goes on to describe the peculiar amino acid sequences of IDPs, their structural heterogeneity, typical functions and disorder-based binding modes. In the final sections, Uversky discusses IDPs in human diseases and as potential drug targets. This volume provides a snapshot to researchers entering the field as well as providing a current overview for more experienced scientists in related areas.
Laboratory Methodology in Biochemistry
Biochemistry Physical Biochemistry Molecular Biology Clinical Biochemistry Biochemical Technology Applied Biochemistry Cellular Biology
Unstable Singularities and Randomness
Traditionally, randomness and determinism have been viewed as being diametrically opposed, based on the idea that causality and determinism is complicated by "noise. Although recent research has suggested that noise can have a productive role, it still views noise as a separate entity. This work suggests that this not need to be so. In an informal presentation, instead, the problem is traced to traditional assumptions regarding dynamical equations and their need for unique solutions. If this requirement is relaxed, the equations admit for instability and stochasticity evolving from the dynamics itself. This allows for a decoupling from the "burden of the past and provides insights into conce...
Recurrence Quantification Analysis
The analysis of recurrences in dynamical systems by using recurrence plots and their quantification is still an emerging field. Over the past decades recurrence plots have proven to be valuable data visualization and analysis tools in the theoretical study of complex, time-varying dynamical systems as well as in various applications in biology, neuroscience, kinesiology, psychology, physiology, engineering, physics, geosciences, linguistics, finance, economics, and other disciplines. This multi-authored book intends to comprehensively introduce and showcase recent advances as well as established best practices concerning both theoretical and practical aspects of recurrence plot based analysis. Edited and authored by leading researcher in the field, the various chapters address an interdisciplinary readership, ranging from theoretical physicists to application-oriented scientists in all data-providing disciplines.
Unfolded Proteins
The word revolution has a number of definitions (The American Heritage Dictionary, 2006). The one most pertinent to this series and volume is 'a sudden or momentous change in a situation'. Recent years have seen an unprecedented explosion of interest in unfolded proteins in all of their various forms. Coupled with this increase in interest we have seen momentous changes in the way unfolded proteins are viewed. Two particular paradigms have come under close scrutiny: unfolded proteins are disordered random coils devoid of persistent structure, and protein function first requires protein structure. The first of these is currently a hotly debated subject. The second paradigm we can safely claim...
Quantitative EEG Analysis Methods and Clinical Applications
This authoritative volume provides an overview of basic and advanced techniques used in quantitative EEG (qEEG) analysis. The book provides a wide range of mathematical tools used in qEEG, from single channel discriptors to the interactions among multi-channel EEG analysis. Moreover, you find coverage of the latest and most popular application in the field, including mental and neurological disease detection/monitoring, physiological and cognitive phenomena research, and fMRI.
Selected Issues in Experimental Economics
The aim of this volume is to provide deep insights and the latest scientific developments and trends in experimental economics. Derived from the 2015 Computational Methods in Experimental Economics (CMEE) conference, this book features papers containing research and analysis of economic experiments concerning research in such areas as management science, decision theory, game theory, marketing and political science. The goal is to present possibilities for using various computer methods in the scope of experimental economics to further provide researchers with a wide variety of tools. The field of experimental economics is rapidly evolving. Modern use of experimental economics requires the i...
