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Advancements in Science and Technology for Healthcare, Agriculture, and Environmental Sustainability: A Review of the Latest Research and Innovations
by Dimitrios A Karras Sai Kiran Oruganti Srinesh ThakurThis book is the collection of selected articles that appeared at the First International Analytics Conference 2023 held in Hyderabad in virtual mode on February 2nd the 3rd 2023. This informative volume offers a window into recent breakthroughs shaping healthcare, agriculture, and environmental sustainability. It showcases the cutting-edge developments in these essential fields. Explore the progress in healthcare, from personalized medicine to telemedicine and innovative treatments, demonstrating how technology is enhancing patient care and transforming global health. Dive into the agricultural sector, where precision farming, genetic engineering, and sustainable practices are revolutionizing food production. Science and innovation play a key role in building a more resilient and food-secure future.
Advancements in Science and Technology for Healthcare, Agriculture, and Environmental Sustainability: A Review of the Latest Research and Innovations
by Sai Kiran Oruganti Dimitrios A. Karras Srinesh ThakurThis book is the collection of selected articles that appeared at the First International Analytics Conference 2023 held in Hyderabad in virtual mode on February 2nd the 3rd 2023. This informative volume offers a window into recent breakthroughs shaping healthcare, agriculture, and environmental sustainability. It showcases the cutting-edge developments in these essential fields. Explore the progress in healthcare, from personalized medicine to telemedicine and innovative treatments, demonstrating how technology is enhancing patient care and transforming global health. Dive into the agricultural sector, where precision farming, genetic engineering, and sustainable practices are revolutionizing food production. Science and innovation play a key role in building a more resilient and food-secure future.
The Mathematical Resilience Book: How Everyone Can Progress in Mathematics
by Sue Johnston-Wilder Clare LeeThis book is about mathematical resilience: what it is, why it is important, how learners can develop it and how teachers can teach in ways that help learners become mathematically resilient. Teaching for mathematical resilience helps mitigate mathematics anxiety, which is often hidden from view as poor behaviour, avoidance and underachievement and can have long-term implications especially for people’s employment opportunities and career progression.Written by a team of expert contributors that specialise in teaching every age of learner from primary school through to adult, the book shows that everyone can progress in mathematics if they have Mathematical Resilience and sets out practical strategies to support learners in developing this important attribute. Chapters cover: How to measure mathematics anxiety and resilience Tools for building mathematical resilience Building a resilient mathematical learning environment The power of coaching Working with groups, individuals and support staff Supporting parents and carers The world faces huge challenges that involve mathematical thinking, including climate change and economic injustice. This valuable text shows teachers how they can help learners to engage positively with mathematical learning and reach their full potential.
The Mathematical Resilience Book: How Everyone Can Progress in Mathematics
by Sue Johnston-Wilder Clare LeeThis book is about mathematical resilience: what it is, why it is important, how learners can develop it and how teachers can teach in ways that help learners become mathematically resilient. Teaching for mathematical resilience helps mitigate mathematics anxiety, which is often hidden from view as poor behaviour, avoidance and underachievement and can have long-term implications especially for people’s employment opportunities and career progression.Written by a team of expert contributors that specialise in teaching every age of learner from primary school through to adult, the book shows that everyone can progress in mathematics if they have Mathematical Resilience and sets out practical strategies to support learners in developing this important attribute. Chapters cover: How to measure mathematics anxiety and resilience Tools for building mathematical resilience Building a resilient mathematical learning environment The power of coaching Working with groups, individuals and support staff Supporting parents and carers The world faces huge challenges that involve mathematical thinking, including climate change and economic injustice. This valuable text shows teachers how they can help learners to engage positively with mathematical learning and reach their full potential.
Urban Village Redevelopment in Beijing, China: New Housing Opportunities for Migrant Workers
by Ran LiuThe book provides a multi-stage assessment of the changing housing opportunities of migrant workers in the three stages of Beijing’s urban village development (emergence, erasure and preservation). The volume re-theorizes Henry Lefebvre’s notion of the “right to the city” as a largely property-based concept that falls within the city’s hybrid tenure matrix of varying degrees of tenure security and formality that is undergoing entrepreneurialization or gentrification. This is another highly valuable contribution to China studies from the geographical perspective of the “territorial politics” at play in the process of urban village redevelopment, which has fostered a new propertied landowning class as winners, while moving low-wage migrants. The book takes the reader on a fascinating journey from peri-urban villages to IT worker villages to artists’ villages, revealing a restless landscape of urbanism and state-centered governance, as well as bottom-up counterplots. The fieldwork explores the contradictions of urban village redevelopment in Beijing. On the one hand, it is state-dominated and yet creates new housing opportunities for migrants; on the other, it disrupts old orders but also encourages new forms of grassroots alliances. The empirical studies of Beijing’s urban villages enrich Henry Lefebvre’s discourse on “planetary urbanisation,” Gilles Deleuze and Félix Guattari’s notion of the “rhizome,” and Elinor Ostrom’s ideas on the wise management of the “commons.”
Quantum Computing: Applications and Challenges (Information Systems Engineering and Management #2)
by Farouk Yalaoui Habiba DriasThis book is intended for academics, researchers, Ph.D. students, and industrials to learn about quantum computing and prepare them to understand the future with its cutting-edge tools. Quantum computing holds great promise in terms of human life quality especially when combined with artificial intelligence. In addition to quantum computing, the book focuses on quantum artificial intelligence, quantum machine and deep learning, quantum cryptography, and quantum logistics optimization. Applications in weather forecasting, digital soil mapping, skin lesion classification, combinatorial optimization, and urgent transportation, among others, are presented.
Financial Mathematics, Derivatives and Structured Products
by Raymond H. Chan Spike T. Lee Xun Li Yves ZY. GuoThis book introduces readers to the financial markets, derivatives, structured products and how the products are modelled and implemented by practitioners. In addition, it equips readers with the necessary knowledge of financial markets needed in order to work as product structurers, traders, sales or risk managers.This second edition substantially extends, updates and clarifies the previous edition. New materials and enhanced contents include, but not limited to, the role of central counterparties for derivatives transactions, the reference rates to replace LIBOR, risk-neutral modelling for futures and forward, discussions and analysis on risk-neutral framework and numéraires, discrete dividend modelling, variance reduction techniques for Monte Carlo method, finite difference method analysis, tree method, FX modelling, multi-name credit derivatives modelling, local volatility model, forward variance model and local-stochastic volatility model to reflect market practice.As the book seeks to unify the derivatives modelling and the financial engineering practice in the market, it will be of interest to financial practitioners and academic researchers alike. The book can also be used as a textbook for the following courses:• Financial Mathematics (undergraduate level)• Stochastic Modelling in Finance (postgraduate level)• Financial Markets and Derivatives (undergraduate level)• Structured Products and Solutions (undergraduate/postgraduate level)
Handbook of Graph Theory, Combinatorial Optimization, and Algorithms (Chapman & Hall/CRC Computer and Information Science Series)
by Andreas Brandstädt Subramanian Arumugam Takao NishizekiThis handbook is the first to present a unified, comprehensive treatment of graph theory, combinatorial optimization, and related algorithmic issues. It covers numerous topics of interest in applications in electrical, communication, computer, social, transportation, biological, and other networks. The book provides readers with the algorithmic and theoretical foundations to understand phenomena as shaped by their graph structures, develop needed algorithmic and optimization tools for the study of graph structures, and design and plan graph structures that lead to certain desirable behavior.
Materials Data Science: Introduction to Data Mining, Machine Learning, and Data-Driven Predictions for Materials Science and Engineering (The Materials Research Society Series)
by Stefan SandfeldThis text covers all of the data science, machine learning, and deep learning topics relevant to materials science and engineering, accompanied by numerous examples and applications. Almost all methods and algorithms introduced are implemented “from scratch” using Python and NumPy. The book starts with an introduction to statistics and probabilities, explaining important concepts such as random variables and probability distributions, Bayes’ theorem and correlations, sampling techniques, and exploratory data analysis, and puts them in the context of materials science and engineering. Therefore, it serves as a valuable primer for both undergraduate and graduate students, as well as a review for research scientists and practicing engineers. The second part provides an in-depth introduction of (statistical) machine learning. It begins with outlining fundamental concepts and proceeds to explore a variety of supervised learning techniques for regression and classification, including advanced methods such as kernel regression and support vector machines. The section on unsupervised learning emphasizes principal component analysis, and also covers manifold learning (t-SNE and UMAP) and clustering techniques. Additionally, feature engineering, feature importance, and cross-validation are introduced. The final part on neural networks and deep learning aims to promote an understanding of these methods and dispel misconceptions that they are a “black box”. The complexity gradually increases until fully connected networks can be implemented. Advanced techniques and network architectures, including GANs, are implemented “from scratch” using Python and NumPy, which facilitates a comprehensive understanding of all the details and enables the user to conduct their own experiments in Deep Learning.
Human-Centric Decision and Negotiation Support for Societal Transitions: 24th International Conference on Group Decision and Negotiation, GDN 2024, Porto, Portugal, June 3–5, 2024, Proceedings (Lecture Notes in Business Information Processing #509)
by Pascale Zaraté Yu Maemura Marta Campos Ferreira Thomasz WachowiczThis book constitutes the refereed proceedings of the 24th International Conference on Group Decision and Negotiation, GDN 2024, which took place in Porto, Portugal, during June 2–5, 2024. The field of Group Decision and Negotiation focuses on decision processes with at least two participants and a common goal but conflicting individual goals. Research areas of Group Decision and Negotiation include electronic negotiations, experiments, the role of emotions in group decision and negotiations, preference elicitation and decision support for group decisions and negotiations, and conflict resolution principles. The 13 full papers presented in this volume were carefully reviewed and selected from 100 submissions. They were organized in the following topical sections: Conflict Resolution; Preference Modeling for Group Decision and Negotiation; Collaborative and Responsible Negotiation Support Systems and Studies.
Universal Logic, Ethics, and Truth: Essays in Honor of John Corcoran (1937-2021) (Studies in Universal Logic)
by Jean-Yves Béziau Timothy J. MadiganJohn Corcoran was a very well-known logician who worked on several areas of logic. He produced decisive works giving a better understanding of two major figures in the history of logic, Aristotle and Boole. Corcoran had a close association with Alfred Tarski, a prominent 20th-century logician. This collaboration manifested in Corcoran's substantial introduction to Tarski's seminal book, Logic, Semantics, Metamathematics (1956). Additionally, Corcoran's posthumous editorial involvement in 'What are logical notions?' (1986) breathed new life into this seminal paper authored by Tarski. His scholarly pursuits extended to the intricate explication of fundamental concepts in modern logic, including variables, propositions, truth, consequences, and categoricity. Corcoran's academic curiosity extended further to the intersection of ethics and logic, reflecting his contemplation of their interrelation. Beyond these theoretical contributions, Corcoran was deeply engaged in the pedagogical dimensions of logic instruction. This volume serves as a compilation of articles contributed by Corcoran's students, colleagues, and international peers. By encompassing a diverse range of subjects, this collection aptly mirrors Corcoran's wide-ranging interests, offering insights that not only deepen our understanding of his work but also advance the theoretical frameworks he explored.
Accelerating Discoveries in Data Science and Artificial Intelligence II: ICDSAI 2023, LIET Vizianagaram, India, April 24–25 (Springer Proceedings in Mathematics & Statistics #438)
by Nishtha Kesswani Frank M. Lin Ashokkumar Patel Bosubabu SambanaThis edited volume on machine learning and big data analytics (Proceedings of ICDSAI 2023), that was held on April 24-25, 2023 by CSUSB USA, International Association of Academicians (IAASSE), and Lendi Institute of Engineering and Technology, Vizianagaram, India is intended to be used as a reference book for researchers and practitioners in the disciplines of AI and Data Science. With the fascinating development of technologies in several industries, there are numerous opportunities to develop innovative intelligence technologies to solve a wide range of uncertainties in various real-life problems. Researchers and academics have been drawn to building creative AI strategies by combining data science with classic mathematical methodologies. The book brings together leading researchers who wish to continue to advance the field and create a broad knowledge about the most recent research.
Type-3 Fuzzy Logic in Time Series Prediction (SpringerBriefs in Applied Sciences and Technology)
by Oscar Castillo Patricia MelinThis book focuses on the field of type-3 fuzzy logic for applications in time series prediction. The main idea is that a higher type and order of fuzzy logic can help in solving various prediction problems and find better results. In addition, neural networks and fractal theory are employed in enhancing prediction results. In this regard, several hybrid intelligent methods are offered. In this book we test the proposed methods using several prediction problems, like predicting COVID-19 and the stock market. We can notice that when Type-3 fuzzy systems are implemented to model the behavior of systems, the results in prediction are enhanced, because the management of uncertainty is better. For this reason, we consider in this book the proposed methods using type-3 fuzzy systems, neural networks and fractal theory to improve the prediction behavior of the complex nonlinear systems. This book is intended to be a reference for scientists and engineers interested in applying type-3 fuzzy logic techniques for solving complex prediction problems. This book can also be used as a reference for graduate courses like the following: soft computing, fuzzy logic, neural networks, bio-inspired algorithms, intelligent prediction, and similar ones. We consider that this book can also be used to get novel ideas for new lines of research, or to continue the lines of research proposed by the authors of the book.
Complex and Adaptive Dynamical Systems: A Comprehensive Introduction
by Claudius GrosThis textbook offers a comprehensive introduction to the concepts underpinning our modern understanding of complex and emergent behavior. Mathematical methods necessary for the discussion are introduced and explained on the run. All derivations are presented step-by-step. This new fifth edition has been fully revised and includes a new chapter, a range of new sections, figures and exercises. The Solution chapter has been reorganized for clarity.The core aspects of modern complex system sciences are presented in the first chapters, covering the foundations of network- and dynamical system theory, with a particular focus on scale-free networks and tipping phenomena. The notion of deterministic chaos is treated together with bifurcation theory and the intricacies of time delays. Modern information theoretical principles are discussed in further chapters, together with the notion of self-organized criticality, synchronization phenomena, and a game-theoretical treatment of the tragedy of the commons. The dynamical systems view of modern machine learning is presented in a new chapter.Chapters include exercises and suggestions for further reading. The textbook is suitable for graduate and advanced undergraduate students. The prerequisites are the basic mathematical tools of courses in natural sciences, computer science or engineering.
Insurance, Biases, Discrimination and Fairness (Springer Actuarial)
by Arthur CharpentierThis book offers an introduction to the technical foundations of discrimination and equity issues in insurance models, catering to undergraduates, postgraduates, and practitioners. It is a self-contained resource, accessible to those with a basic understanding of probability and statistics. Designed as both a reference guide and a means to develop fairer models, the book acknowledges the complexity and ambiguity surrounding the question of discrimination in insurance. In insurance, proposing differentiated premiums that accurately reflect policyholders' true risk—termed "actuarial fairness" or "legitimate discrimination"—is economically and ethically motivated. However, such segmentation can appear discriminatory from a legal perspective. By intertwining real-life examples with academic models, the book incorporates diverse perspectives from philosophy, social sciences, economics, mathematics, and computer science. Although discrimination has long been a subject of inquiry in economics and philosophy, it has gained renewed prominence in the context of "big data," with an abundance of proxy variables capturing sensitive attributes, and "artificial intelligence" or specifically "machine learning" techniques, which often involve less interpretable black box algorithms.The book distinguishes between models and data to enhance our comprehension of why a model may appear unfair. It reminds us that while a model may not be inherently good or bad, it is never neutral and often represents a formalization of a world seen through potentially biased data. Furthermore, the book equips actuaries with technical tools to quantify and mitigate potential discrimination, featuring dedicated chapters that delve into these methods.
The Art of Statistics: Learning from Data (Pelican Books)
by David Spiegelhalter'A statistical national treasure' Jeremy Vine, BBC Radio 2'Required reading for all politicians, journalists, medics and anyone who tries to influence people (or is influenced) by statistics. A tour de force' Popular ScienceDo busier hospitals have higher survival rates? How many trees are there on the planet? Why do old men have big ears? David Spiegelhalter reveals the answers to these and many other questions - questions that can only be addressed using statistical science.Statistics has played a leading role in our scientific understanding of the world for centuries, yet we are all familiar with the way statistical claims can be sensationalised, particularly in the media. In the age of big data, as data science becomes established as a discipline, a basic grasp of statistical literacy is more important than ever. In The Art of Statistics, David Spiegelhalter guides the reader through the essential principles we need in order to derive knowledge from data. Drawing on real world problems to introduce conceptual issues, he shows us how statistics can help us determine the luckiest passenger on the Titanic, whether serial killer Harold Shipman could have been caught earlier, and if screening for ovarian cancer is beneficial. 'Shines a light on how we can use the ever-growing deluge of data to improve our understanding of the world' Nature
Introduction to Analytical Mechanics
by Amitabha GhoshThis comprehensive, introductory textbook on Analytical Mechanics is designed for both seasoned researchers and budding students of Mechanics. This book meticulously outlines the whole route to analytical treatment of the 'science of motion'. Authored with years of teaching expertise, this book unravels new concepts beyond the traditional Newtonian framework, ensuring clarity for beginners. The book is tailored to focus primarily upon areas essential in a first-level course. Unveil innovative treatments helpful in taking the first-time reader through the labyrinthian path along which often analytical mechanics progresses. Ideal for a semester-long study at senior undergraduate and junior postgraduate levels, our text features ample solved examples to reinforce theoretical applications.
Risk Parity Fundamentals
by Edward E. QianWritten by an experienced researcher and portfolio manager who coined the term "risk parity," this book provides readers with a practical understanding of the risk parity investment approach. It uses fundamental, quantitative, and historical analysis to address the merit of risk parity as well as the practical and underlying aspects of risk parity investing. Requiring no advanced degrees in quantitative fields, the book analyzes risk parity performance from historical periods and more recent market environments.
Power Analysis of Trials with Multilevel Data (Chapman & Hall/CRC Interdisciplinary Statistics)
by Mirjam Moerbeek Steven TeerenstraPower Analysis of Trials with Multilevel Data is a valuable reference for anyone who wants to perform power calculations on trials with hierarchical data. It provides a thorough overview of power analysis, familiarizing you with terminology and notation, outlining the key concepts of statistical power and power analysis, and covering all common hierarchical designs.
Information Systems: What Every Business Student Needs to Know (Chapman & Hall/CRC Textbooks in Computing)
by Efrem G. MallachMost information systems (IS) texts overwhelm business students with overly technical information they may not need in their careers. This textbook takes a new approach to the required IS course for business majors. For each topic covered, the text highlights key "Take-Aways" that alert students to material they will need to remember during their careers. Sections titled "Where You Fit In" and "Why This Chapter Matters" explain how the topics being covered will impact students once they are on the job. Review questions, discussion questions, and summaries are included in each chapter.
Using R and RStudio for Data Management, Statistical Analysis, and Graphics
by Nicholas J. Horton Ken KleinmanIncorporating the latest R packages as well as new case studies and applications, Using R and RStudio for Data Management, Statistical Analysis, and Graphics, Second Edition covers the aspects of R most often used by statistical analysts. New users of R will find the book's simple approach easy to understand while more sophisticated users will appreciate the invaluable source of task-oriented information.New to the Second Edition: The use of RStudio, which increases the productivity of R users and helps users avoid error-prone cut-and-paste workflows New chapter of case studies illustrating examples of useful data management tasks, reading complex files, making and annotating maps, "scraping" data from the web, mining text files, and generating dynamic graphics New chapter on special topics that describes key features, such as processing by group, and explores important areas of statistics, including Bayesian methods, propensity scores, and bootstrapping New chapter on simulation that includes examples of data generated from complex models and distributions A detailed discussion of the philosophy and use of the knitr and markdown packages for R New packages that extend the functionality of R and facilitate sophisticated analyses Reorganized and enhanced chapters on data input and output, data management, statistical and mathematical functions, programming, high-level graphics plots, and the customization of plots Easily Find Your Desired TaskConveniently organized by short, clear descriptive entries, this edition continues to show users how to easily perform an analytical task in R. Users can quickly find and implement the material they need through the extensive indexing, cross-referencing, and worked examples in the text. Datasets and code are available for download on a supplementary website.
Statistical Analysis of Questionnaires: A Unified Approach Based on R and Stata (Chapman & Hall/CRC Interdisciplinary Statistics)
by Michela Gnaldi Silvia Bacci Francesco BartolucciStatistical Analysis of Questionnaires: A Unified Approach Based on R and Stata presents special statistical methods for analyzing data collected by questionnaires. The book takes an applied approach to testing and measurement tasks, mirroring the growing use of statistical methods and software in education, psychology, sociology, and other fields.
Probability and Statistics with R
by Ana F. Militino Alan T. Arnholt Maria Dolores UgarteCohesively Incorporates Statistical Theory with R ImplementationSince the publication of the popular first edition of this comprehensive textbook, the contributed R packages on CRAN have increased from around 1,000 to over 6,000. Designed for an intermediate undergraduate course, Probability and Statistics with R, Second Edition explores how some o
Handbook of Linear Partial Differential Equations for Engineers and Scientists
by Andrei D. Polyanin Vladimir E. NazaikinskiiIncludes nearly 4,000 linear partial differential equations (PDEs) with solutionsPresents solutions of numerous problems relevant to heat and mass transfer, wave theory, hydrodynamics, aerodynamics, elasticity, acoustics, electrodynamics, diffraction theory, quantum mechanics, chemical engineering sciences, electrical engineering, and other fieldsO
Vulnerability, Territory, Population: From Critique to Public Policy
by Samuel Rufat Pascale MetzgerDuring the Covid-19 pandemic, the term "vulnerable" was applied to "individuals" and to "populations", "groups" and "countries" in discussions, laws and regulations; now it applies to all objects in relation to all kinds of threats. However, rather than a label for governing people and places, the notion of "vulnerability" was expected to become an instrument to tackle the root causes of disasters, poverty and maldevelopment, as well as the inequalities and injustices they bring, whether social, political, economic or environmental. Despite this radical dimension, vulnerability has gradually been incorporated into public policies and international recommendations for global risk and disaster management. This book is intended for researchers, students, managers and decision makers concerned with the management of not only risks and crises but also climate and environmental change. The first part examines the multiple theoretical and conceptual approaches; the second explores vulnerability assessments, using examples from the Global North and Global South; and the third discusses tools, public policies and actions taken to reduce vulnerability.