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Basic Immunology and Its Clinical Application (Advances in Experimental Medicine and Biology #1444)
by Mitsuru MatsumotoThis book overviews ongoing and upcoming clinical applications of basic immunology. Recent advances in our knowledge of immunology coupled with new technologies have aided in the development of efficient cancer immunotherapy, as well as the control of emerging microorganisms such as SARS-CoV-2. However, knowledge of basic immunology has not been fully utilized even after the discoveries of immune checkpoint inhibition for cancer immunotherapy and the development of mRNA vaccination against SARS-CoV-2. There is still room for improving the clinical application of basic immunology. The book summarizes the achievements in clinical applications of basic immunology and highlights what can be further extended to make immunology a more practical human science. Basic immunology and its clinical applications are two wheels of the same cart in the immunology field, which aids in the development of more efficient cancer immunotherapy and rapid control of infectious diseases against microorganisms, including new viruses and classical toxoplasmosis. The exploration of ongoing and upcoming applications of basic immunology in this book makes it a useful resource for immunologists, physicians, molecular and genome biologists, bioinformaticians, and students in these fields.
Bayesian Nonparametrics for Causal Inference and Missing Data (Chapman & Hall/CRC Monographs on Statistics and Applied Probability #124)
by Michael J. Daniels Antonio Linero Jason RoyBayesian Nonparametrics for Causal Inference and Missing Data provides an overview of flexible Bayesian nonparametric (BNP) methods for modeling joint or conditional distributions and functional relationships, and their interplay with causal inference and missing data. This book emphasizes the importance of making untestable assumptions to identify estimands of interest, such as missing at random assumption for missing data and unconfoundedness for causal inference in observational studies. Unlike parametric methods, the BNP approach can account for possible violations of assumptions and minimize concerns about model misspecification. The overall strategy is to first specify BNP models for observed data and then to specify additional uncheckable assumptions to identify estimands of interest. The book is divided into three parts. Part I develops the key concepts in causal inference and missing data and reviews relevant concepts in Bayesian inference. Part II introduces the fundamental BNP tools required to address causal inference and missing data problems. Part III shows how the BNP approach can be applied in a variety of case studies. The datasets in the case studies come from electronic health records data, survey data, cohort studies, and randomized clinical trials. Features • Thorough discussion of both BNP and its interplay with causal inference and missing data • How to use BNP and g-computation for causal inference and non-ignorable missingness • How to derive and calibrate sensitivity parameters to assess sensitivity to deviations from uncheckable causal and/or missingness assumptions • Detailed case studies illustrating the application of BNP methods to causal inference and missing data • R code and/or packages to implement BNP in causal inference and missing data problems The book is primarily aimed at researchers and graduate students from statistics and biostatistics. It will also serve as a useful practical reference for mathematically sophisticated epidemiologists and medical researchers.
Bayesian Precision Medicine (Chapman & Hall/CRC Biostatistics Series)
by Peter F. ThallBayesian Precision Medicine presents modern Bayesian statistical models and methods for identifying treatments tailored to individual patients using their prognostic variables and predictive biomarkers. The process of evaluating and comparing treatments is explained and illustrated by practical examples, followed by a discussion of causal analysis and its relationship to statistical inference. A wide array of modern Bayesian clinical trial designs are presented, including applications to many oncology trials. The later chapters describe Bayesian nonparametric regression analyses of datasets arising from multistage chemotherapy for acute leukemia, allogeneic stem cell transplantation, and targeted agents for treating advanced breast cancer.Features: Describes the connection between causal analysis and statistical inference Reviews modern personalized Bayesian clinical trial designs for dose-finding, treatment screening, basket trials, enrichment, incorporating historical data, and confirmatory treatment comparison, illustrated by real-world applications Presents adaptive methods for clustering similar patient subgroups to improve efficiency Describes Bayesian nonparametric regression analyses of real-world datasets from oncology Provides pointers to software for implementation Bayesian Precision Medicine is primarily aimed at biostatisticians and medical researchers who desire to apply modern Bayesian methods to their own clinical trials and data analyses. It also might be used to teach a special topics course on precision medicine using a Bayesian approach to postgraduate biostatistics students. The main goal of the book is to show how Bayesian thinking can provide a practical scientific basis for tailoring treatments to individual patients.
Be a Champion: 40 Facts You Didn't Know About Sports and Science (Copernicus Books)
by Amandine AftalionWhy do you lean in a bend? Why does a sprinter slow down before the finish line? Why do golf balls have dimples? Why do you swim better slightly underwater? Why, on a bike, the faster you go, the more stable you are? Why shouldn’t you rely on doping tests too much? Is there a law of evolution of records?These are some of the 40 questions that Amandine Aftalion answers in this book using simple physics and mathematics, and some humor. Not only will it allow you to improve yourself in sports, but it will also but it will also give way to understanding how champions do.An easy book to read and the must to have if you are a sports addict or if you watch sports on TV and ask yourself “why?”.Amandine Aftalion is a French mathematician. She is a CNRS senior scientist and graduated from École normale supérieure in Paris. She has given talks all over the world, as a specialist of models coming from low temperature physics. She has written a book on vortices in Bose–Einstein condensates. More recently, she has used energy minimization to study an optimal control problem coming from human energy: optimizing running. She has written papers on sports aimed at coaches. Part of her latest results have inspired the first chapter of this book. She is the producer and director of a French YouTube channel for the popularization of mathematics, Videodimath, elected as one of the 5 best French YouTube channels for popular mathematics.
Before It's Gone: Stories from the Front Lines of Climate Change in Small-Town America
by Jonathan VigliottiFrom CBS News national correspondent Jonathan Vigliotti, a &“vivid&” (Elizabeth Kolbert, Pulitzer Prize–winning author) and &“stunning&” (Booklist) character-driven call to action on our climate, told through the stories of the pioneering Americans working to persevere as leadership inaction risks the very survival of our heartland and hometowns.Discussion of the climate crisis has always suffered from a problem of abstraction. Data points and warnings of an overheated future struggle to break through the noise of everyday life. Deniers often portray climate solutions as inconvenient, expensive, and unnecessary. And many politicians, cloistered by status and focused always on their next election, do not yet see climate as a winning issue in the short run, so they don&’t take any action at all. But climate change, and its devastating consequences, has kept apace whether we want to pay attention or not. CBS News national correspondent Jonathan Vigliotti has seen that crisis unfold for himself, spending nearly two decades reporting across the United States (and the world) documenting the people, communities, landmarks, and traditions we&’ve already surrendered. Vigliotti shares with urgency and personal touch the story of an America on the brink. Before It&’s Gone traces Vigliotti&’s travels across the country, taking him to the frontlines of climate disaster and revealing the genuine impacts of climate change that countless Americans have already been forced to confront. From massive forest fires in California to hurricanes in Louisiana, receding coastlines in Massachusetts and devastated fisheries in Alaska, we learn that warnings of a future impacted by climate are no more; the climate catastrophe is already here. This is the story of America, and Americans, on the edge, and a powerful argument that radical action on climate change with a respect for its people and traditions is not only possible, but also the only way to preserve what we love.
The Bergman Kernel and Related Topics: Hayama Symposium on SCV XXIII, Kanagawa, Japan, July 2022 (Springer Proceedings in Mathematics & Statistics #447)
by Kengo Hirachi Takeo Ohsawa Shigeharu Takayama Joe KamimotoThis volume consists of 15 papers contributing to the Hayama Symposium on Complex Analysis in Several Variables XXIII, which was dedicated to the 100th anniversary of the creation of the Bergman kernel. The symposium took place in Hayama and Tokyo in July 2022. Each article is closely related to the Bergman kernel, covering topics in complex analysis, differential geometry, representation theory, PDE, operator theory, and complex algebraic geometry. Specifically, some papers address the L2 extension operators from a newly opened viewpoint after solving Suita's conjecture for the logarithmic capacity. They are also continuations of quantitative solutions to the openness conjecture for the multiplier ideal sheaves. The study involves estimates for the solutions of the d-bar equations, focusing on the existence of compact Levi-flat hypersurfaces in complex manifolds. The collection also reports progress on various topics, including the existence of extremal Kähler metrics on compact manifolds, Lp variants of the Bergman kernel, Wehrl-type inequalities, homogeneous Kähler metrics on bounded homogeneous domains, asymptotics of the Bergman kernels, and harmonic Szegő kernels and operators on the Bergman spaces and Segal-Bargmann spaces. Some of the papers are written in an easily accessible way for beginners. Overall, this collection updates how a basic notion provides strong insights into the internal relationships between independently found phenomena.
Bertrand Russell, Feminism, and Women Philosophers in his Circle (History of Analytic Philosophy)
by Landon D. C. Elkind Alexander Mugar KleinThis book examines Bertrand Russell’s complicated relationships to the women around him, and to feminism more generally. The essays in this volume offer scholarly reassessments of these relationships and their import for the history of feminism and of analytic philosophy.Russell is a founder of analytic philosophy. He has also been called a feminist due to his public, decades-long advocacy for women’s rights and equality of the sexes. But his private behavior towards wives and sexual partners, and his apparently dismissive (occasionally public) responses to some women philosophers, raises the question of what sort of feminist (or chauvinist) Russell actually was.Focusing on women in Russell’s circle of acquaintance, including feminist activists and his philosophical interlocutors, this book casts new light on a timeless thinker’s feminism and the women who played critical roles in the making of analytic philosophy.
Bertrand’s Paradox and the Principle of Indifference (Routledge Studies in the Philosophy of Mathematics and Physics)
by Nicholas ShackelEvents between which we have no epistemic reason to discriminate have equal epistemic probabilities. Bertrand’s chord paradox, however, appears to show this to be false, and thereby poses a general threat to probabilities for continuum sized state spaces. Articulating the nature of such spaces involves some deep mathematics and that is perhaps why the recent literature on Bertrand’s Paradox has been almost entirely from mathematicians and physicists, who have often deployed elegant mathematics of considerable sophistication. At the same time, the philosophy of probability has been left out. In particular, left out entirely are the philosophical ground of the principle of indifference, the nature of the principle itself, the stringent constraint this places on the mathematical representation of the principle needed for its application to continuum sized event spaces, and what these entail for rigour in developing the paradox itself. This book puts the philosophy and its entailments back in and in so doing casts a new light on the paradox, giving original analyses of the paradox, its possible solutions, the source of the paradox, the philosophical errors we make in attempting to solve it and what the paradox proves for the philosophy of probability. The book finishes with the author’s proposed solution—a solution in the spirit of Bertrand’s, indeed—in which an epistemic principle more general than the principle of indifference offers a principled restriction of the domain of the principle of indifference.Bertrand's Paradox and the Principle of Indifference will appeal to scholars and advanced students working in the philosophy of mathematics, epistemology, philosophy of science, probability theory and mathematical physics.
Bidirectional Comparison of Nominal Sets: Asymmetry of Proximity (Studies in Computational Intelligence #1140)
by Grażyna Szkatuła Maciej KrawczakThe authors propose a novel measure of proximity between two sets of nominal elements. This measure describes the changes in the first set after adding the second set or changes in the second set after adding the first set.It is crucial to note that this measure is not symmetric, it means that the perturbation of the first set on the second set can be different than the perturbation of the opposition direction. The introduced set impact measure allows for the direct treatment of objects described by nominal-valued attributes. The ordinary sets, multisets, fuzzy sets, and the intuitionistic fuzzy sets are considered. The book is intended for data science professionals, philosophers as well as cognitive psychologists, who struggle with practical problems in which asymmetry of proximity of objects cannot be neglected. The use of the proposed measures of perturbation between compared objects can be very important in data mining or in exploration of Internetresources.
Big Data Analytics: A Guide to Data Science Practitioners Making the Transition to Big Data (Chapman & Hall/CRC Data Science Series)
by Ulrich MatterSuccessfully navigating the data-driven economy presupposes a certain understanding of the technologies and methods to gain insights from Big Data. This book aims to help data science practitioners to successfully manage the transition to Big Data. Building on familiar content from applied econometrics and business analytics, this book introduces the reader to the basic concepts of Big Data Analytics. The focus of the book is on how to productively apply econometric and machine learning techniques with large, complex data sets, as well as on all the steps involved before analysing the data (data storage, data import, data preparation). The book combines conceptual and theoretical material with the practical application of the concepts using R and SQL. The reader will thus acquire the skills to analyse large data sets, both locally and in the cloud. Various code examples and tutorials, focused on empirical economic and business research, illustrate practical techniques to handle and analyse Big Data. Key Features: - Includes many code examples in R and SQL, with R/SQL scripts freely provided online. - Extensive use of real datasets from empirical economic research and business analytics, with data files freely provided online. - Leads students and practitioners to think critically about where the bottlenecks are in practical data analysis tasks with large data sets, and how to address them. The book is a valuable resource for data science practitioners, graduate students and researchers who aim to gain insights from big data in the context of research questions in business, economics, and the social sciences.
Big Data Analytics: Theory, Techniques, Platforms, and Applications
by Ümit Demirbaga Gagangeet Singh Aujla Anish Jindal Oğuzhan KalyonThis book introduces readers to big data analytics. It covers the background to and the concepts of big data, big data analytics, and cloud computing, along with the process of setting up, configuring, and getting familiar with the big data analytics working environments in the first two chapters. The third chapter provides comprehensive information on big data processing systems - from installing these systems to implementing real-world data applications, along with the necessary codes. The next chapter dives into the details of big data storage technologies, including their types, essentiality, durability, and availability, and reveals their differences in their properties. The fifth and sixth chapters guide the reader through understanding, configuring, and performing the monitoring and debugging of big data systems and present the available commercial and open-source tools for this purpose. Chapter seven gives information about a trending machine learning, Bayesian network: a probabilistic graphical model, by presenting a real-world probabilistic application to understand causal, complex, and hidden relationships for diagnosis and forecasting in a scalable manner for big data. Special sections throughout the eighth chapter present different case studies and applications to help the readers to develop their big data analytics skills using various big data analytics frameworks.The book will be of interest to business executives and IT managers as well as university students and their course leaders, in fact all those who want to get involved in the big data world.
Big Data Analytics in Intelligent IoT and Cyber-Physical Systems (Transactions on Computer Systems and Networks)
by Nonita Sharma Monika Mangla Subhash K. ShindeThis book explores the complete system perspective, underlying theories, modeling, and applications of cyber-physical systems (CPS). Considering the interest of researchers and academicians, the editors present this book in a multidimensional perspective covering CPS at breadth. It covers topics ranging from discussion of rudiments of the system and efficient management to recent research challenges and issues. This book is divided into four sections discussing the fundamentals of CPS, engineering-based solutions, its applications, and advanced research challenges. The contents highlight the concept map of CPS including the latest technological interventions, issues, challenges, and the integration of CPS with IoT and big data analytics, modeling solutions, distributed management, efficient energy management, cyber-physical systems research, and education with applications in industrial, agriculture, and medical domains. This book is of immense interest to those in academia and industry.
Big Data and Data Science Engineering: Volume 6 (Studies in Computational Intelligence #1139)
by Roger LeeThe book reports state-of-the-art results in Big Data and Data Science Engineering in both printed and electronic form. Studies in Computation Intelligence (SCI) has grown into the most comprehensive computational intelligence research forum available in the world. This book publishes original papers on both theory and practice that address foundations, state-of-the-art problems and solutions, and crucial challenges.
Big Data und Advanced Analytics im Controlling: Potenziale, Herausforderungen und Implikationen für die Praxis
by Andreas VorndranDie Digitalisierung und Entwicklungen im Gebiet der künstlichen Intelligenz haben in den letzten Jahren erhebliche Veränderungen in der Gesellschaft und der Unternehmenspraxis hervorgerufen. Aufkommende Technologien in den Feldern Big Data und Advanced Analytics werden auch im Controlling zunehmend diskutiert oder bereits eingesetzt. Dabei befinden sich der Wissensstand, inwieweit Big Data und Advanced Analytics das Controlling beeinflussen und verändern können, und die praktische Anwendung noch in einem frühen Stadium. Diese Arbeit befasst sich deshalb mit der Untersuchung der möglichen Auswirkungen von Big Data und Advanced Analytics im Controlling. Vor diesem Hintergrund werden die Einflüsse dieser digitalen Trends auf den Informationsversorgungsprozess des Controllings, auf die Erfüllung Controlling-spezifischer Anforderungen an Informationen und auf das Forecasting, die Budgetierung und die strategische Planung analysiert. Ferner werden praxisrelevante Herausforderungen, Grenzen und Risiken bei der Implementierung und Nutzung identifiziert sowie Implikationen zu deren Umgang zur Ausschöpfung der Potenziale abgeleitet.
Bio-Inspired Computing: 18th International Conference, BIC-TA 2023, Changsha, China, December 15–17, 2023, Revised Selected Papers, Part I (Communications in Computer and Information Science #2061)
by Linqiang Pan Yong Wang Jianqing LinThe two-volume set CCIS 2061 and 2062 constitutes the refereed post-conference proceedings of the 18th International Conference on Bio-Inspired Computing: Theories and Applications, BIC-TA 2023, held in Changsha, China, during December 15–17, 2023.The 64 revised full papers presented in these proceedings were carefully reviewed and selected from 168 submissions. The papers are organized in the following topical sections: Volume I: Evolutionary Computation and Swarm Intelligence; and Membrane Computing and DNA ComputingVolume II: Machine Learning and Applications; and Intelligent Control and Application.
Bio-Inspired Computing: 18th International Conference, BIC-TA 2023, Changsha, China, December 15–17, 2023, Revised Selected Papers, Part II (Communications in Computer and Information Science #2062)
by Linqiang Pan Yong Wang Jianqing LinThe two-volume set CCIS 2061 and 2062 constitutes the refereed post-conference proceedings of the 18th International Conference on Bio-Inspired Computing: Theories and Applications, BIC-TA 2023, held in Changsha, China, during December 15–17, 2023.The 64 revised full papers presented in these proceedings were carefully reviewed and selected from 168 submissions. The papers are organized in the following topical sections: Volume I: Evolutionary Computation and Swarm Intelligence; and Membrane Computing and DNA ComputingVolume II: Machine Learning and Applications; and Intelligent Control and Application.
Biologically Inspired Cognitive Architectures 2023: Proceedings of the 14th Annual Meeting of the BICA Society (Studies in Computational Intelligence #1130)
by Alexei V. Samsonovich Tingting LiuThe book focuses on original approaches intended to support the development of biologically inspired cognitive architectures. It bridges together different disciplines, including artificial intelligence, linguistics, neuro- and social sciences, psychology and philosophy of mind, among others. The chapters are based on contributions presented at the 2023 Annual International Conference on Brain-Inspired Cognitive Architectures for Artificial Intelligence (the 14th Annual Meeting of the BICA Society, BICA*AI 2023), organized in collaboration with the University of Ningbo and held on October 13-15, 2023, in Ningbo, China. The book discusses emerging methods, theories and ideas towards the realization of general-purpose humanlike artificial intelligence or fostering a better understanding of the ways the human mind works. It provides engineers, mathematicians, psychologists, computer scientists and other experts with a timely snapshot of recent research and a source of inspiration for future developments in the broadly intended areas of artificial intelligence and biological inspiration.
Biomedical Engineering Science and Technology: Second International Conference, ICBEST 2023, Raipur, India, February 10–11, 2023, Revised Selected Papers (Communications in Computer and Information Science #2003)
by Bikesh Kumar Singh G. R. Sinha Rishikesh PandeyThis CCIS post conference volume constitutes the proceedings of the Second International Conference, ICBEST 2023, in Raipur, India, in February 2023. The 32 full papers together in this volume were carefully reviewed and selected from 60 submissions. The conference's fundamental theme was "Computing in Biomedical Research". They were organized in three tracks as follows: Artificial Intelligence in Healthcare; Computational Mechanics in Healthcare and Health Informatics.
Biomedical Image Analysis: Special Applications in MRIs and CT scans (Brain Informatics and Health)
by Pritpal SinghThis book provides an in-depth study of biomedical image analysis. Itreviews and summarizes previous research work in biomedical image analysis andalso provides a brief introduction to other computation techniques, such asfuzzy sets, neutrosophic sets, clustering algorithm and fast forward quantumoptimization algorithm, focusing on how these techniques can be integrated intodifferent phases of the biomedical image analysis. In particular, this bookdescribes novel methods resulting from the fuzzy sets, neutrosophic sets,clustering algorithm and fast forward quantum optimization algorithm. It alsodemonstrates how a new quantum-clustering based model can be successfullyapplied in the context of clustering the COVID-19 CT scans. Thanks to itseasy-to-read style and the clear explanations of the models, the book can beused as a concise yet comprehensive reference guide to biomedical imageanalysis, and will be valuable not only for graduate students, but also forresearchers and professionals working for academic, business and governmentinstitutes and medical colleges.
Birkhoff–James Orthogonality and Geometry of Operator Spaces (Infosys Science Foundation Series)
by Arpita Mal Kallol Paul Debmalya SainThis book provides an insight into the geometric aspects of the spaces of operators studied by using the notion of Birkhoff–James orthogonality. It studies the norm attainment set of an operator and its properties, the notion of which plays a very important role in the characterization of B-J orthogonality of operators. The structure of the norm attainment set is studied for Hilbert space operators and is yet to be understood completely for operators between Banach spaces. The book explores the interrelation between B-J orthogonality in the ground space and in the space of operators in its fullest generality. The book further explores the concept of approximate B-J orthogonality and investigated its geometry both in the ground space as well as in the space of operators. It highlights important geometric properties like smoothness and k-smoothness of bounded linear operators, extreme contractions and symmetricity of bounded linear operators defined between Hilbert spaces as well as Banach spaces.
Blockchain Technology and Emerging Applications: Third EAI International Conference, BlockTEA 2023, Wuhan, China, December 2-3, 2023, Proceedings (Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering #577)
by Jiageng Chen Zhe XiaThis book constitutes the refereed proceedings of the Third International Conference on Blockchain Technology and Emerging Applications, BlockTEA 2023, held in December 2-3, 2023 in Wuhan, China. The 10 regular papers presented were carefully reviewed and selected from 41 submissions. Blockchain technology has been emerging as a potential technology to be applied in various domains, including finance, computer science, electronic engineering, agriculture, healthcare and more. The blockchain-based applications are able to aid the current systems and networks by leveraging the benefits provided by blockchain technology, such as a decentralized, immutable, and cryptographically secured ledger.
The Blue Book: Smart sustainable coastal cities and blue growth strategies for marine and maritime environments
by Stamatina Th. RassiaThis volume offers a wealth of results written by experts from interdisciplinary fields, contributing on a diversity of topics targeting marine and maritime environmental sustainability in coastal and ocean-related areas. The reader will benefit from the diversity and breadth of topical coverage as well as concepts conveyed from a variety researchers. The book serves as an open knowledge platform combining many aspects of SDG #11 including naval architecture and marine engineering, ecology, biomedical informatics, public health, architecture engineering and building physics, nanotechnology as well as advanced technologies, innovation and related fields. The broad range of topics cover ecology, shipping, and health related issues. Specifically, the book presents chapters on the following: · Shipping and ecology · Topics of ocean wildlife and mega-fauna protection · Big Data and sustainable applications for healthy and safe coastal cities · Smart sustainable humanitarian assistance methods using large vessels · Smart coastal city tourist activity, mobility management · Urban climate condition mitigation · Historical analysis of the case of disease outbreaks onboard ships · Monitoring, simulating and decision making while developing housing at sea, such as in cruise-ships · Conducting feasibility assessment for outbreak prevention following real-time, systematic disease detection on cruise ships · Technological approaches for cruise ship disease propagation monitoring · Scenario testing for sensors and actuators deployment to prevent and mitigate epidemics on cruise ships, as well as methods for improving biological safety on ships using nanotechnology The book is expected to engage researchers in multidisciplinary areas as well as students and interested readers.
Boolean Networks as Predictive Models of Emergent Biological Behaviors (Elements in the Structure and Dynamics of Complex Networks)
by null Jordan C. Rozum null Colin Campbell null Eli Newby null Fatemeh Sadat Nasrollahi null Réka AlbertInteracting biological systems at all organizational levels display emergent behavior. Modeling these systems is made challenging by the number and variety of biological components and interactions – from molecules in gene regulatory networks to species in ecological networks – and the often-incomplete state of system knowledge, such as the unknown values of kinetic parameters for biochemical reactions. Boolean networks have emerged as a powerful tool for modeling these systems. This Element provides a methodological overview of Boolean network models of biological systems. After a brief introduction, the authors describe the process of building, analyzing, and validating a Boolean model. They then present the use of the model to make predictions about the system's response to perturbations and about how to control its behavior. The Element emphasizes the interplay between structural and dynamical properties of Boolean networks and illustrates them in three case studies from disparate levels of biological organization.
Boundary Value Problems: Advanced Fractional Dynamic Equations on Time Scales (Synthesis Lectures on Mathematics & Statistics)
by Svetlin GeorgievThis book explores boundary value problems for fractional dynamic equations on arbitrary time scales, including Caputo fractional dynamic equations, impulsive Caputo fractional dynamic equations, and impulsive Riemann-Liouville fractional dynamic equations. The author provides an introduction to each fractional dynamic equation before delving into the problems. The book also covers initial value problems, boundary value problems, initial boundary value problems for each type of equation. The author provides integral representations of the solutions and proves the existence and uniqueness of the solutions.
Brain-like Super Intelligence from Bio-electromagnetism (Studies in Rhythm Engineering)
by Anirban Bandyopadhyay Kanad RayThis book discusses various aspects of bioinspired technologies but with an additional emphasis on the medical science, starting from the popular article on neurobiology to pure biophysics that ends with the superintelligence of biological systems that could be reverse engineered. It covers eight different aspects of natural intelligence, starting from the fundamental electromagnetic properties of a protein to the vibrations and the resonance of the entire biomaterial system. It also covers a wide spectrum of hierarchical communication among different biological systems for intelligence and then medical science is applied.