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The articles presented here were selected from preliminary versions presented at the International Conference on Genetic Algorithms in June 1991, as well as at a special Workshop on Genetic Algorithms for Machine Learning at the same Conference. Genetic algorithms are general-purpose search algorithms that use principles inspired by natural population genetics to evolve solutions to problems. The basic idea is to maintain a population of knowledge structure that represent candidate solutions to the problem of interest. The population evolves over time through a process of competition (i.e. survival of the fittest) and controlled variation (i.e. recombination and mutation). Genetic Algorithms for Machine Learning contains articles on three topics that have not been the focus of many previous articles on GAs, namely concept learning from examples, reinforcement learning for control, and theoretical analysis of GAs. It is hoped that this sample will serve to broaden the acquaintance of the general machine learning community with the major areas of work on GAs. The articles in this book address a number of central issues in applying GAs to machine learning problems. For example, the choice of appropriate representation and the corresponding set of genetic learning operators is an important set of decisions facing a user of a genetic algorithm. The study of genetic algorithms is proceeding at a robust pace. If experimental progress and theoretical understanding continue to evolve as expected, genetic algorithms will continue to provide a distinctive approach to machine learning. Genetic Algorithms for Machine Learning is an edited volume of original research made up of invited contributions by leading researchers.

Robotic Renal Surgery: Benign and Cancer Surgery for the Kidneys and Ureters provides a comprehensive review of the role of and technical considerations regarding robotic surgery for conditions of the kidney and associated conditions of the upper urinary tract.  In addition to serving as a reference regarding indications, preoperative and postoperative management, complications, and evidence-based outcomes, this text also serves as a practical guide for surgeons in how to perform the complete array of  robotic kidney and upper tract surgery.  Included are detailed descriptions of positioning, instrumentation, and surgical steps for the surgeon newly adopting robotic surgery or for those refining their techniques.  All chapters are written by recognized and published experts in the various techniques, creating an authoritative text on the subject.  Robotic Renal Surgery: Benign and Cancer Surgery for the Kidneys and Ureters will be of great value to urologists, robotic surgeons, fellows in urologic oncology or endourology as well as urology residents in training and surgical nurses and other surgery team members involved in these procedures.  ¿

¿Information Systems (IS) as a discipline draws on diverse areas including, technology, organisational theory, management and social science. The field is recognized as very broad and encompassing many themes and areas. However, the development of artefacts, or information systems development (ISD), in the broadest sense, is a central concern of the discipline. Significantly, ISD impacts on the organisational and societal contexts through the use of the artefacts constructed by the development. Today, that impact also needs to be evaluated in terms of its effects on the environment. Sustainable, or "green," IT is a catch-all term used to describe the development, manufacture, management, use and disposal of ICT in a way that minimizes damage to the environment. As a result, the term has many different meanings, depending on the role assumed in the life span of the ICT artefact. The theme of the proposed work is to critically examine the whole range of issues around ISD from the perspective of sustainability. Sustainable IT is an emerging theme in academic research and industry practice in response to an individual concern for the environment and the embryonic regulatory environments being enacted globally to address the environmental impact of ICT. In this work we intend to bring together in one volume the diverse research around the development of sustainable IS.

Cardiovascular drug therapy has markedly progressed in the recent decades. Not only have new drugs been introduced to clinical practice, but new classes of drugs have been developed. While in 1960 the practicing cardiolo­ gist had a selection of about only ten drugs, in 1987 about 150 drugs are routinely used in cardiovascular diseases. Elderly patients, however, usually do not enjoy the full benefit of this progress. This might be due to lack of knowledge, a conservative approach, or the worldwide tendency not to try new drugs in the elderly. It is now clear that the majority of patients that will be treated in car­ diovascular clinics will be, in the near future, elderly patients. Even now, elderly patients form about one-third of the patients with cardiovascular diseases. These patients are approached, however, according to criteria devel­ oped for younger populations. This is despite the fact that elderly patients differ from younger ones in most aspects, including pathology, epidemiol­ ogy, pathophysiology, diagnostic approach, management, pharmacology, pharmacokinetics, rehabilitation, and supportive treatment. It is the purpose of this book to present to the clinician all drugs with which there is clinical experience in the elderly or which might be potentially useful for the elderly with cardiovascular diseases. The data are presented without the authors taking a position. This should allow the clinicians to make their own selection and individualize treatment, vii viii Preface based on a wide data base. Comparative data are presented only when specific comparative studies were performed.

How does homebanking work? How are board games developed? How reliable can wind energy get? How do we discover forged paintings? Do smart girls stay single? How dangerous can a bioterrorist get? In all these questions (and many others), mathematics plays a crucial role in the search for an answer.¿This book tells the story behind twenty of these questions. This is explicitly not a mathematics book, but a book about the crucial role that mathematics plays in devising the creative solutions the world needs. The questions are divided into three categories: mathematics in everyday life, mathematics for the workplace, and mathematics for tomorrow's society. The themes illustrate not only the incredibly broad applicability of mathematics in the world around us, but also the great diversity of useful mathematical techniques.

The first edition of the Encyclopedia of Complexity and Systems Science (ECSS, 2009) presented a comprehensive overview of granular computing (GrC) broadly divided into several categories: Granular computing from rough set theory, Granular Computing in Database Theory, Granular Computing in Social Networks, Granular Computing and Fuzzy Set Theory, Grid/Cloud Computing, as well as general issues in granular computing. In 2011, the formal theory of GrC was established, providing an adequate infrastructure to support revolutionary new approaches to computer/data science, including the challenges presented by so-called big data. For this volume of ECSS, Second Edition, many entries have been updated to capture these new developments, together with new chapters on such topics as data clustering, outliers in data mining, qualitative fuzzy sets, and information flow analysis for security applications. Granulations can be seen as a natural and ancient methodology deeply rooted in the human mind. Many daily "things" are routinely granulated into sub "things": The topography of earth is granulated into hills, plateaus, etc., space and time are granulated into infinitesimal granules, and a circle is granulated into polygons of infinitesimal sides. Such granules led to the invention of calculus, topology and non-standard analysis. Formalization of general granulation was difficult but, as shown in this volume, great progress has been made in combing discrete and continuous mathematics under one roof for a broad range of applications in data science.

Assembles a collection of experts to provide a current account of different approaches (e.g., traditional, comparative and experimental) being applied to study mobility. Moreover, the book aims to stimulate new theoretical perspectives that adopt a holistic view of the interaction among intrinsic (i.e. skeletal) and extrinsic (i.e. environmental) factors that influence differential expression of mobility. Since the environment undoubtedly impacts mobility of a wide variety of animals, insights into human mobility, as a concept, can be improved by extending approaches to investigating comparable environmental influences on mobility in animals in general. The book teases apart environmental effects that transcend typical categories (e.g., coastal versus inland, mountainous versus level, arboreal versus terrestrial). Such an approach, when coupled with a new emphasis on mobility as types of activities rather than activity levels, offers a fresh, insightful perspective on mobility and how it might affect the musculoskeletal system.

This volume explores diverse protocols for peptide conjugation, and provides thoroughly tested and scientifically valid techniques that allow researchers and scientists to prepare, purify, characterize, and use peptide conjugation methods for chemical, biochemical, and biological studies. Some of the topics discussed in this book are gold nanoparticles, proteins, pegylated lipids, and vitamins. Chapters also cover enzymatic ligation using sortase A, construction of a phage-displayed cyclic-peptide library, quantum dot-peptide conjugates, and preparation of lipopeptides by CLipPA chemistry. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls. Cutting-edge and comprehensive, Peptide Conjugation: Methodsand Protocols is a valuable resource for experienced researches and undergraduate students alike who are interested in learning more about this exciting and developing field.

This essential volume explores a variety of tools and protocols of structure-based (homology modeling, molecular docking, molecular dynamics, protein-protein interaction network) and ligand-based (pharmacophore mapping, quantitative structure-activity relationships or QSARs) drug design for ranking and prioritization of candidate molecules in search of effective treatment strategy against coronaviruses. Beginning with an introductory section that discusses coronavirus interactions with humanity and COVID-19 in particular, the book then continues with sections on tools and methodologies, literature reports and case studies, as well as online tools and databases that can be used for computational anti-coronavirus drug research. Written for the Methods in Pharmacology and Toxicology series, chapters include the kind of practical detail and implementation advice that ensures high quality results in the lab. Comprehensive and timely, In Silico Modeling ofDrugs Against Coronaviruses: Computational Tools and Protocols is an ideal reference for researchers working on the development of novel anti-coronavirus drugs for SARS-CoV-2 and for coronaviruses that will likely appear in the future.