Описание: This volume fills the gap in protein review and protocal literature while summarizing recent achievements in the understanding of the relationships between protein misfoldings, aggregation, and development of protein deposition disorders. It is devoted to the general questions of conformational disorders and includes discussion of involvement of such common factors as molecular chaperones, oxidative damage, proteasome, glycosoaminoglycans, serum amyloid protein P and several others in the development of different disorders. Some experimental techniques applicable for the visualization of protein deposition in vivo and in vitro are also present.
Andreas B?rmann develops novel approaches for the solution of network design problems as they arise in various contexts of applied optimization. At the example of an optimal expansion of the German railway network until 2030, the author derives a tailor-made decomposition technique for multi-period network design problems. Next, he develops a general framework for the solution of network design problems via aggregation of the underlying graph structure. This approach is shown to save much computation time as compared to standard techniques. Finally, the author devises a modelling framework for the approximation of the robust counterpart under ellipsoidal uncertainty, an often-studied case in the literature. Each of these three approaches opens up a fascinating branch of research which promises a better theoretical understanding of the problem and an increasing range of solvable application settings at the same time.
This textbook helps future data analysts comprehend aggregation function theory and methods in an accessible way, focusing on a fundamental understanding of the data and summarization tools. Offering a broad overview of recent trends in aggregation research, it complements any study in statistical or machine learning techniques. Readers will learn how to program key functions in R without obtaining an extensive programming background.
Sections of the textbook cover background information and context, aggregating data with averaging functions, power means, and weighted averages including the Borda count. It explains how to transform data using normalization or scaling and standardization, as well as log, polynomial, and rank transforms. The section on averaging with interaction introduces OWS functions and the Choquet integral, simple functions that allow the handling of non-independent inputs. The final chapters examine software analysis with an emphasis on parameter identification rather than technical aspects.
This textbook is designed for students studying computer science or business who are interested in tools for summarizing and interpreting data, without requiring a strong mathematical background. It is also suitable for those working on sophisticated data science techniques who seek a better conception of fundamental data aggregation. Solutions to the practice questions are included in the textbook.
This book reviews current research on the important processes involved in neurodegenerative diseases (e.g. Alzheimer's disease) and the peptides and proteins involved in the amyloidogenic processes. It covers the design and developments of anti-amyloid inhibitors, and gives readers a fundamental understanding of the underlying oligomerization and aggregation processes of these diseases from both computational and experimental points of view.
Описание: Fuzzy Sets and Their Extensions: Representation, Aggregation and Models Intelligent Systems from Decision Making to Data Mining, Web Intelligence and Computer Vision Fuzzy sets are now more than 40 years old, and have come of age. However, the development of fuzzy set theory at the theoretical level, and its successful appli- tions to science and technology have often run in isolation. Only a little part of the theoretical apparatus was effectively used in past applications. The most prominent ones, namely fuzzy rule-based modeling and control engineering, were directly - spired from a seminal paper by Lot? Zadeh in 1973, suggesting how to use expert knowledge for synthetizing control laws, and from the ?rst experiments published by Abe Mamdani. Later in the eighties, when spectacular applications were bl- soming in Japan, fuzzy rule-based systems were systematized and simpli?ed by Michio Sugeno and colleagues, and became a basic approach to non-linear system modeling and control, soon hybridized with neural networks in the nineties. Thus fuzzy systems signi?cantly contributed to the raise of computational intelligence, and a lot of learning techniques for the construction of (supposedly interpretable) fuzzy models from data were developed under the ?ag of soft computing. Even if this area was quite successful, it is patent that the role, in the success of fuzzy logic, of new fuzzy set-related concepts developed quite at the same time in themathematicalnicheofthefuzzyset communitywaslimited.
Автор: Gleb Beliakov; Ana Pradera; Tomasa Calvo Название: Aggregation Functions: A Guide for Practitioners ISBN: 3642092896 ISBN-13(EAN): 9783642092893 Издательство: Springer Цена: 27251.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Averaging Functions.- Conjunctive and Disjunctive Functions.- Mixed Functions.- Choice and Construction of Aggregation Functions.- Interpolatory Type Aggregation Functions.- Other Types of Aggregation and Additional Properties.
Автор: Vladimir N. Uversky; Anthony Fink Название: Protein Misfolding, Aggregation and Conformational Diseases ISBN: 1441938516 ISBN-13(EAN): 9781441938510 Издательство: Springer Рейтинг: Цена: 28732.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Research indicates that most neurodegenerative diseases, systemic amyloidoses and many others, arise from the misfolding and aggregation of an underlying protein. The authors summarize recent progress in the understanding of the relationships between protein misfolding, aggregation and development of protein deposition disorders.
Описание: The second volume continues to fill the gap in protein review and protocal literature while summarizing recent achievements in the understanding of the relationships between protein misfoldings, aggregation, and development of protein deposition disorders. The focus of Part B is the molecular basis of differential disorders.
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