This book presents the state of the art in mathematical research on modelling the mechanics of biological systems – a science at the intersection between biology, mechanics and mathematics known as mechanobiology. The book gathers comprehensive surveys of the most significant areas of mechanobiology: cell motility and locomotion by shape control (Antonio DeSimone); models of cell motion and tissue growth (Benoît Perthame); numerical simulation of cardiac electromechanics (Alfio Quarteroni); and power-stroke-driven muscle contraction (Lev Truskinovsky). Each section is self-contained in terms of the biomechanical background, and the content is accessible to all readers with a basic understanding of differential equations and numerical analysis. The book disentangles the phenomenological complexity of the biomechanical problems, while at the same time addressing the mathematical complexity with invaluable clarity. The book is intended for a wide audience, in particular graduate students and applied mathematicians interested in entering this fascinating field.
This book presents the state of the art in mathematical research on modelling the mechanics of biological systems – a science at the intersection between biology, mechanics and mathematics known as mechanobiology. The book gathers comprehensive surveys of the most significant areas of mechanobiology: cell motility and locomotion by shape control (Antonio DeSimone); models of cell motion and tissue growth (Benoît Perthame); numerical simulation of cardiac electromechanics (Alfio Quarteroni); and power-stroke-driven muscle contraction (Lev Truskinovsky). Each section is self-contained in terms of the biomechanical background, and the content is accessible to all readers with a basic understanding of differential equations and numerical analysis. The book disentangles the phenomenological complexity of the biomechanical problems, while at the same time addressing the mathematical complexity with invaluable clarity. The book is intended for a wide audience, in particular graduate students and applied mathematicians interested in entering this fascinating field.
Convergence Theorems for Lattice Group-valued Measures explains limit and boundedness theorems for measures taking values in abstract structures. The book begins with a historical survey about these topics since the beginning of the last century, moving on to basic notions and preliminaries on filters/ideals, lattice groups, measures and tools which are featured in the rest of this text. Readers will also find a survey on recent classical results about limit, boundedness and extension theorems for lattice group-valued measures followed by information about recent developments on these kinds of theorems and several results in the setting of filter/ideal convergence. In addition, each chapter has a general description of the topics and an appendix on random variables, concepts and lattices is also provided. Thus readers will benefit from this book through an easy-to-read historical survey about all the problems on convergence and boundedness theorems, and the techniques and tools which are used to prove the main results. The book serves as a primer for undergraduate, postgraduate and Ph. D. students on mathematical lattice and topological groups and filters, and a treatise for expert researchers who aim to extend their knowledge base.
Localization refers to the relationship between the anatomical structures of the brain and their corresponding psychological or behavioral functions. Throughout the history of neuropsychology, there has been considerable debate over how localized mental functions truly are. By the mid-20th century, a formidable amount of evidence strongly supported the "modularity hypothesis" that psychological functions such as language and memory reside in specific neuroanatomical areas. Recent neuroimaging studies suggest a more holistic view - that psychological functions are distributed and dynamically organized across multiple brain regions. This book attempts to reconcile the classic and modern approaches, arguing that newer imaging techniques must be used in conjunction with, rather than replace, traditional neuropsychology approaches such as interviewing, testing, and autopsy exams. Only by triangulating these approaches can neuropsychologists begin to understand the complex relationship between brain structure and mental function that is exhibited across the spectrum of neurological disorders. The perspective offered by Drs. Tonkonogy and Puente on this philosophical and scientific debate is a provocative counterargument to current research that overemphasizes imaging studies to the exclusion of other useful techniques. Key features: Offers systematic descriptions of the clinical manifestations, anatomical data, and history of the various approaches to neuropsychological syndromes Differentiates syndromes characterized by disturbances of conventional versus unconventional information processing Examines both traditional and modern approaches to new neuropsychological syndromes of social agnosia, social apraxia, and agnosia of actions, as well as memory disorders, visual disorders, and more An indispensable resource for clinicians and researchers in neuropsychology and neuroscience, this book serves as a solid frame of reference for the localization of clinical neuropsychological symptoms.
Since 1984, the year of the publication of its first edition, the famous “Blue Guide” has been the international reference for paediatricians and neuropaediatricians with regard to epileptic syndromes in infants, children and adolescents. This 6th edition reviews some of the most noteworthy developments in the field, particularly in epileptic syndromes, but also focuses on the genetic aspects of the syndromes and their development. Progress brought about by advances in neuroimaging is also discussed in addition to specific etiologies such as parasitic diseases and immune and autoimmune diseases. The different backgrounds of the contributors - coordinators and authors – ensure that the book’s longstanding reputation for objectivity and seriousness, built over almost 35 years, remain well-deserved. This book written by the current leading specialists is recognized worldwide as the international reference in epilepsy.
-Numerous illustrations help the reader visualize the anatomy and key operative steps -Written in an accessible, easy-to-read format that allows the reader to understand the steps for the surgical procedure -Comprehensively cover all the material necessary to make competent decisions on treatment -Each chapter is dedicated to one single malformation allowing the reader to fully understand that malformation before moving on
This book provides the latest technical information on sustainable materials that are feedstocks for additive manufacturing (AM). Topics covered include an up-to-date and extensive overview of raw materials, their chemistry, and functional properties of their commercial versions; a description of the relevant AM processes, products, applications, advantages, and limitations; prices and market data; and a forecast of sustainable materials used in AM, their properties, and applications in the near future. Data included are relative to current commercial products and are presented in easy-to-read tables and charts. Features Highlights up-to-date information and data of actual commercial materials Offers a broad survey of state-of the-art information Forecasts future materials, applications, and areas of R&D Contains simple language, explains technical terms, and minimizes technical lingo Includes over 200 tables, nearly 200 figures, and more than 1,700 references to technical publications, mostly very recent Handbook of Sustainable Polymers for Additive Manufacturing appeals to a diverse audience of students and academic, technical, and business professionals in the fields of materials science and mechanical, chemical, and manufacturing engineering.
An accessible, authoritative, and up-to-date computer vision textbook offering a comprehensive introduction to the foundations of the field that incorporates the latest deep learning advances. Machine learning has revolutionized computer vision, but the methods of today have deep roots in the history of the field. Providing a much-needed modern treatment, this accessible and up-to-date textbook comprehensively introduces the foundations of computer vision while incorporating the latest deep learning advances. Taking a holistic approach that goes beyond machine learning, it addresses fundamental issues in the task of vision and the relationship of machine vision to human perception. Foundations of Computer Vision covers topics not standard in other texts, including transformers, diffusion models, statistical image models, issues of fairness and ethics, and the research process. To emphasize intuitive learning, concepts are presented in short, lucid chapters alongside extensive illustrations, questions, and examples. Written by leaders in the field and honed by a decade of classroom experience, this engaging and highly teachable book offers an essential next-generation view of computer vision. Up-to-date treatment integrates classic computer vision and deep learning Accessible approach emphasizes fundamentals and assumes little background knowledge Student-friendly presentation features extensive examples and images Proven in the classroom Instructor resources include slides, solutions, and source code
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