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This book presents selected, peer-reviewed proceedings of the 3rd International Conference on Material, Machines and Methods for Sustainable Development (MMMS2022), held in the city of Can Tho, Vietnam, from 10 to 13 November 2022. The purpose of the conference is to explore and ensure an understanding of the critical aspects contributing to sustainable development with a focus on advanced mechanical engineering, automation, materials, machines and methods. The contributions published in this book come from authors representing universities, research institutes and industrial companies and reflect the results of a very broad spectrum of research, from micro- and nanoscale materials design and processing, to mechanical engineering technology in industry. Many of the contributions selected for these proceedings focus on materials modeling, eco-material processes and mechanical manufacturing.Volume 3 of this book focuses on topics dedicated to sustainable approaches inmachine design, life cycle engineering, and energy management for manufacturing processes.

Relying upon extensive global and multidisciplinary research, this book analyzes the perils of market-driven scenarios and peeps into the possibilities responsible for the failure of traditional approaches. It helps in identifying the goals and approaches amenable to sustainable development reflecting upon an ecologically and inclusively sustainable global future. It enriches knowledge base of all research scholars and professionals as well as paves the way for bravely facing the challenges to the sustainability. The book also sheds light on the current and future trends in the domain of sustainability in terms of scenarios, strategies to be adopted, anticipated transitions in climate, and evolution and adoption of best sustainable practices for the common good.Academicians and researchers and professionals from across universities, research, governmental, and private organizations have made their invaluable contributions. The perspectives contributed are drawn from Central and South America, sub-Saharan Africa, and South and Southeast Asia. They cover a spectrum of topics, covering the philosophy underlying sustainable development, organizations, ethics, belief systems, cultures, use of resources, energy, models, cost-benefit analysis, international trade, financial aid, forestry, wildlife, land rights, fisheries, and more. Irrespective of the reader's interest on sustainable development, this book embodies meaningful and productive intent and content. The chapters present well-known topics but with different perspectives, suggesting ways to enhance the present practices and proposing new avenues in furthering the work. The book is intended to cover a wide range of audiences, catering to the needs of a diverse readership. The value of this book is quantified in terms of new concepts and terminology it generates and works as a reference source.

As new threats emerge, the use of AI technologies to protect the world we live in is topical. This book is divided into three parts: methodological fundamentals of AI, use of AI for critical infrastructure protection, and anomaly detection. The first part describes the latest knowledge about creating safe AIs and using them to enhance protection. The following parts present various domains and examples of AI-driven security. The chapters describe potential methods, demonstrate use cases and discuss the challenges of the evolving field. This includes topics such as defensive use of AI to detect threats, discussion about the offensive use of AI to better understand the future threat landscape, the use of AI for automation in critical infrastructure and overall challenges of AI usage for critical tasks. The chapters cover domains such as small enterprises, logistics, smart grid, software security and mobile networks. Understanding latest advancements in this field should be useful to those who want to comprehend modern cybersecurity in detail, and especially to experts in the field, who want to follow research and latest trends. To this effect, this book brings together a group of international researchers and professionals who present their views on how to create security through AI.

The high-resolution palynological study of the varved sediments of Lake Montcortès has provided a unique record of the regional vegetation shifts over the last 3000 years and of the natural and anthropogenic drivers of ecological change, unparalleled in the Mediterranean. This book shows in detail how the terrestrial ecosystems of Montcortès have responded to climatic events such as the Medieval Climate Anomaly or the Little Ice Age, as well as to varying intensities of anthropogenic pressure from the Bronze Age to the present. The knowledge gained from this palaeoecological study is useful not only for understanding how the modern landscapes of the Pyrenees were shaped, but also for conserving biodiversity and ecosystems in the face of future environmental changes related to ongoing global change. The book is aimed at researchers, university teachers and advanced graduate students in a wide range of disciplines including ecology, palaeoecology, environmental science, biodiversity, geography, sedimentology, archaeology, anthropology, and biodiversity conservation.

This book provides a complete introduction to Artificial Intelligence, covering foundational computational technologies, mathematical principles, philosophical considerations, and engineering disciplines essential for understanding AI. Artificial Intelligence: Principles and Practice emphasizes the interdisciplinary nature of AI, integrating insights from psychology, mathematics, neuroscience, and more. The book addresses limitations, ethical issues, and the future promise of AI, emphasizing the importance of ethical considerations in integrating AI into modern society. With a modular design, it offers flexibility for instructors and students to focus on specific components of AI, while also providing a holistic view of the field. Taking a comprehensive but concise perspective on the major elements of the field; from historical background to design practices, ethical issues and more, Artificial Intelligence: Principles and Practice provides the foundations needed for undergraduate or graduate-level courses. The important design paradigms and approaches to AI are explained in a clear, easy-to-understand manner so that readers will be able to master the algorithms, processes, and methods described. The principal intellectual and ethical foundations for creating artificially intelligent artifacts are presented in Parts I and VIII. Part I offers the philosophical, mathematical, and engineering basis for our current AI practice. Part VIII presents ethical concerns for the development and use of AI. Part VIII also discusses fundamental limiting factors in the development of AI technology as well as hints at AI's promising future. We recommended that PART I be used to introduce the AI discipline and that Part VIII be discussed after the AI practice materials. Parts II through VII present the three main paradigms of current AI practice: the symbol-based, the neural network or connectionist, and the probabilistic. Generous use of examples throughout helps illustrate the concepts, and separate end-of-chapter exercises are included. Teaching resources include a solutions manual for the exercises, PowerPoint presentation, and implementations for the algorithms in the book.

This book constitutes the refereed post proceedings of the 17th Italian Workshop on Artificial Life and Evolutionary Computation, WIVACE 2023, held in Venice, Italy, during September 6-8, 2023.The 30 full papers included in this book were carefully reviewed and selected from 55 submissions. They were organized in topical sections as follows: Algorithms for complex systems, Biologically inspired models, Complex chemical systems, Adaptation and swarms, Learning, Medicine and Social systems.

Among the technologies that significantly change the modern world of human existence, it is worth mentioning, first of all, digital technologies. These technologies are actively and relentlessly implemented and integrated into all spheres of human activity and society, becoming a powerful catalyst and a determining source of social development. According to such a scenario of development, society acquires the features of digital, thus defining digital technologies as its leading technology. This process is called the digital transformation of society. The wide use of digital technologies to provide free access to information and knowledge is a basic principle of the digital society. Digital society significantly changes traditional ideas about work, education, culture, communication, social and political life. The development of citizens' digital culture is the main condition for the successful construction of a digital society. Therefore, it is important to carry out scientific research and targeted training to improve the qualifications of specialists in various branches of the economy, in particular, educators and scientists to acquire digital competence. After all, these specialists are key figures in ensuring the process of digitalization of education and science. The book presents various aspects of the digital transformation of education and science. A comprehensive view of the current state and prospects of the use of digital technologies for education and science is provided. The experience of using digital technologies and tools for training and improving the qualifications of specialists of various specialties, as well as for the preparation of future PhDs, is described. The book is addressed to education workers, managers, scientists, graduate students, librarians, and all those who are interested in the process of digital transformation of education and science.

The main subject is the probabilistic extreme value theory. The purpose is to present recent results related to limiting distributions of maxima in incomplete samples from stationary sequences, and results related to extremal properties of different combinatorial configurations. The necessary contents related to regularly varying functions and basic results of extreme value theory are included in the first two chapters with examples, exercises and supplements. The motivation for consideration maxima in incomplete samples arises from the fact that real data are often incomplete. A sequence of observed random variables from a stationary sequence is also stationary only in very special cases. Hence, the results provided in the third chapter are also related to non-stationary sequences. The proof of theorems related to joint limiting distribution of maxima in complete and incomplete samples requires a non-trivial combination of combinatorics and point process theory. Chapter four provides results on the asymptotic behavior of the extremal characteristics of random permutations, the coupon collector's problem, the polynomial scheme, random trees and random forests, random partitions of finite sets, and the geometric properties of samples of random vectors. The topics presented here provide insight into the natural connections between probability theory and algebra, combinatorics, graph theory and combinatorial geometry. The contents of the book may be useful for graduate students and researchers who are interested in probabilistic extreme value theory and its applications.

This book examines disruptive mood dysregulation disorder (DMDD) during childhood and adolescence. It explores the ways in which explosive anger outbursts and persistent irritability are among the most problematic symptoms in child and adolescent mental health. and may present as a feature of many different psychiatric illnesses. The volume addresses the myriad challenges that youth with a focus on the DMDD diagnosis experience. Chapters focus on key issues of development, behavior, achievement, social relations, and mood. The book describes how to diagnose and conduct clinical assessments of child and adolescent personality and behavior with suspected DMDD.Key areas of coverage include: Comprehensive history of mood dysregulation research and current trends in psychiatric classification (e.g., DSM-5, Research Domain Criteria) and their influence on the clinical assessment of children and adolescents with suspected DMDD.Updates of professional standards to guide clinicians and diagnosticians and discussions of practical considerations in planning and conducting clinical assessments for children with DMDD.Reviews the most recent editions of questionnaires and tests used in the clinical assessment of child and adolescents with suspected DMDD.Differential diagnosis and practical methods for integrating assessment information to develop an effective, multidisciplinary treatment plan.Review of current trends in psychiatric and psychological treatment of DMDD. Clinician Guide to Disruptive Mood Dysregulation Disorder in Children serves as an essential resource for researchers, professors, and graduate students as well as veteran and early-career clinicians and professionals across such interrelated disciplines as school, clinical child, developmental, and educational psychology, child and adolescent psychiatry, school counseling, social work, and public health.

This book introduces a new type of data poisoning attack, dubbed, backdoor attack. In backdoor attacks, an attacker can train the model with poisoned data to obtain a model that performs well on a normal input but behaves wrongly with crafted triggers. Backdoor attacks can occur in many scenarios where the training process is not entirely controlled, such as using third-party datasets, third-party platforms for training, or directly calling models provided by third parties. Due to the enormous threat that backdoor attacks pose to model supply chain security, they have received widespread attention from academia and industry. This book focuses on exploiting backdoor attacks in the three types of DNN applications, which are image classification, natural language processing, and federated learning.Based on the observation that DNN models are vulnerable to small perturbations, this book demonstrates that steganography and regularization can be adopted to enhance the invisibility of backdoor triggers. Based on image similarity measurement, this book presents two metrics to quantitatively measure the invisibility of backdoor triggers. The invisible trigger design scheme introduced in this book achieves a balance between the invisibility and the effectiveness of backdoor attacks. In the natural language processing domain, it is difficult to design and insert a general backdoor in a manner imperceptible to humans. Any corruption to the textual data (e.g., misspelled words or randomly inserted trigger words/sentences) must retain context-awareness and readability to human inspectors. This book introduces two novel hidden backdoor attacks, targeting three major natural language processing tasks, including toxic comment detection, neural machine translation, and question answering, depending on whether the targeted NLP platform accepts raw Unicode characters.The emerged distributed training framework, i.e., federated learning, has advantages in preserving users' privacy. It has been widely used in electronic medical applications, however, it also faced threats derived from backdoor attacks. This book presents a novel backdoor detection framework in FL-based e-Health systems. We hope this book can provide insightful lights on understanding the backdoor attacks in different types of learning-based algorithms, including computer vision, natural language processing, and federated learning. The systematic principle in this book also offers valuable guidance on the defense of backdoor attacks against future learning-based algorithms.

This book presents the latest synthetic protocols for the assembly of functionalized Cp ligands and their transition metal complexes. Cyclopentadienyl (Cp) complexes of transition metals belong to the most important classes of transition metal complexes with tightly bound ligands in the coordination sphere since their discovery in the middle of the last century. Even though they have been known for a long time, this field constantly evolves to deliver novel modified Cp ligands and complexes and to blossom into new fields of application. Beside the synthesis of ligands and metal complexes this book concentrates on novel and prospering fields of their application in organic synthesis. In this respect the Cp complexes have been applied to induce and catalyze various significant chemical transformations such as new C-C bond formation involving unsaturated substrates (e.g. cyclotrimerizations, cycloadditions, carbometallations, etc.), C-H bond and C-C bond activations followed by subsequent reactions (e.g. arylation, alkenylations, annulations, etc.), as well as many other processes. This volume also covers the recent development and application of chiral Cp complexes in enantioselective synthesis.

Details in depth the current novel and future directions of diagnosis, treatment, and analysis of medical problems that relate to virology Provides examples of the practical applications of novel procedures and approachesIncluded are vanguard topics such as the use of Evidence-Based Medicine, Artificial Intelligence, Neural Networks, Fractals

This volume gathers the proceedings of the 7th International Conference on Earthquake Engineering and Seismology (7ICEES), held in Antalya, Turkey on November 6-10, 2023, and affiliated with the 18th World Conference on Seismic Isolation (18WCSI). The conference discussed state-of-the-art information as well as emerging concepts and innovative applications related to earthquake engineering and seismology, in particular structural or non-structural risk mitigation tools for critical infrastructure. The contributions, which are published after a rigorous international peer-review process, highlight numerous exciting ideas that will spur novel research directions and foster multidisciplinary collaboration among different specialists.

This volume contains new papers addressing a number of new and traditional issues pertaining to the roles of representations in visual perception.Among these issues is the one concerning the nature of the perceptual state itself ¿ e. g. on the issue of whether the perceptual state, like its distal objects, is structured, for instance by possessing a spatial character. Other issues include those of whether at least aspects of the distal object are presented immediately to us visually, whether representation plays any (interesting) role in disjunctivist and naïve realist accounts of visual experience and the relationship among visual perception, attention and representation.The anthology includes a wide variety of positions on the subject of the roles of representations in visual perception, which would help to close the literature gap and will be of interest to scholars from all schools and trends of philosophy of mind.

Traditional products are becoming smart products, and smart products are becoming connected. From smart homes to smart cities to smart farms, this trend in product design and development is likely to accelerate and will have a profound impact on the future.This accessible textbook/reference focuses on using the Internet of Things (IoT) to foster sustainability. It guides readers in a step-by-step manner through the creation of example applications designed to promote a clean and healthy environment. Additionally, the book serves as a lesson in systems design, taking the view that the IoT is best understood as an extension of the World Wide Web. Therefore, the exposition examines how the Web was designed and how its principles can be applied to IoT design.The book engages readers with modern IoT technologies, standards, and platforms. It connects sensors and actuators to the cloud, but in a way that is based on sound architectural principles.Topics and features: - Combines principles of computer science with hands-on exercises and programming- Includes the Particle Photon 2 microcontroller, and uses Node.js and Node-RED- Covers cryptocurrencies, machine learning, and identification technologies- Examines sensing and actuation using The Photon 2 and MQTT- Leverages large language models in exercises The IoT has countless applications, making this textbook/reference appealing to a wide variety of readers. In particular, those pursuing or interested in computer science, internet technologies, product design, city planning, sensor networks, or software design will find the book intriguing and useful. Dr. Barry Burd is a Professor at Drew University. Mr. Michael McCarthy is an Associate Teaching Professor at Carnegie Mellon University, and Mr. Ian Pollock is an Associate Professor at California State University, East Bay.

This book constitutes the refereed proceedings of the 30th International Working Conference on Requirements Engineering: Foundation for Software Quality, REFSQ 2024, held in Winterthur, Switzerland, during April 8-12, 2024.The 14 full papers and 8 short papers included in this book were carefully reviewed and selected from 59 submissions. They are organized in topical sections as follows: quality models for requirements engineering; quality requirements; explainability with and in requirements engineering; artificial intelligence for requirements engineering; natural language processing for requirements engineering; requirements engineering for artificial intelligence; crowd-based requirements engineering; and emerging topics and challenges in requirements engineering.

This book proposes a novel connectionist approach to a challenging topic of language modeling within the context of kernel memory and artificial mind system, both proposed previously by the author in the very first volume of the series, Artificial Mind System--Kernel Memory Approach: Studies in Computational Intelligence, Vol. 1. The present volume focuses on how syntactic structures of language are modeled in terms of the respective composite connectionist architectures, each embracing both the nonsymbolic and symbolic parts. These two parts are developed via inter-module processes within the artificial mind system and eventually integrated under a unified framework of kernel memory. The data representation by the networks embodied within the kernel memory principle is essentially local, unlike conventional artificial neural network models such as the pervasive multilayer perceptron-based neural networks. With this locality principle, kernel memory inherently bears many attractive features, such as topologically unconstrained network formation, straightforward network growing, shrinking, and reconfiguration, no requirement of arduous iterative parameter tuning, construction of transparent and hierarchical data structures, and multimodal and temporal data processing via the network representation. Exploiting these multifacet properties of kernel memory with interweaving the notion of inter-module processing within the artificial mind system provides coherent accounts for concept formation and how various linguistic phenomena, viz. word compoundings, morphologies, and multiword constructions, are modeled. The description is then extended to more intricate network models of context-dependent lexical network and syntactic-oriented processing, the latter being the central theme of the present study, and further to those representing a hybrid of nonverbal and verbal thinking, and semantic and pragmatic aspects of sentential meaning. The book is intended for general readers engaging in various areas of study in cognitive science, computer science, engineering, linguistics, philosophy, psycholinguistics, and psychology.

This book provides readers with an introductory overview of art from the perspective of science, technology, engineering, and mathematics. The author utilizes well-known and important works of art to demonstrate how STEM concepts apply to them. The book's examples include a structural analysis of Michelangelo's David. The author covers major breakthroughs in art history, such as the discovery of perspective. The book also discusses other important elements of art, such as color, from a scientific point of view. The author ensures that readers will understand the art terms used by comparing them with terms used in STEM fields of study.

This book thoroughly examines the design of full-duplex medium access control (MAC) protocols in wireless networks. It is organized into three main sections: (a) Fundamentals and preliminaries of full-duplex communications, (b) A comprehensive review of the existing full-duplex MAC protocols, and (c) Designs of full-duplex MAC protocols in three typical wireless networks, i.e., wireless local access networks (WLANs), multi-hop networks and millimeter-wave networks. Also, the authors extensively address key challenges in these three wireless full-duplex networks, such as the hidden-node problem, accumulative interference, and deafness and blockage problems. Solutions to these challenges are meticulously devised to enhance the overall network performance.The wireless full-duplex communication technique, facilitating simultaneous transmission and reception within the same frequency band, holds immense potential for enhancing spectrum efficiency and network capacity. It emerges as a pivotal technology in the sixth-generation (6G) networks. This book provides a comprehensive review and in-depth exploration of full-duplex MAC design across various networks, encompassing WLANs, multi-hop networks, and millimeter-wave networks. Acknowledging the challenges faced by full-duplex WLANs, particularly the hidden-node problem, it also introduces a pioneering hidden-node-free design and a MAC protocol design, which features a full-duplex enhanced carrier-sensing mechanism. Addressing the need to augment end-to-end throughput in multi-hop networks employing full-duplex relaying, the authors present an analytical model for end-to-end throughput and propose a multi-hop full-duplex MAC protocol designed to optimize network performance. Furthermore, the exploration extends to full-duplex millimeter-wave networks, delving into issues of deafness and blockage. A directional full-duplex MAC protocol is introduced to enhance network capacity and mitigate blockage problems. This book concludes by outlining prospective research directions within the related fields of study and offers valuable insights for future exploration.This book targets researchers and advanced level students in computer science and electrical engineering. It also caters to professionals engaged in the fields of wireless networks, full-duplex system, protocol design, and network optimization will also buy this book.

The book tries to answer the most fundamental question of whether there is a link between abundant food supply and economic growth with respect to a higher degree of human development. In order to have flourishing economic growth within a country the need for a food security system is a must. The world as we know is faced with shortages of food supply which has been a major factor in the country's economic development. The book is an attempt to understand the problems and current situation of food systems in the developing world. It focuses on the pathways to understand the challenges that it faces and predict future scenarios. The motive is to create academic literature to understand the basis of sustainable food security. The social, economic, and political factors become the main theme of the book. It focuses on the interdisciplinary nature of food security. Many a time we only understand the idea of food security through the lens of scientific nature but in the meantime, it forgets the other important factors that are governing the issue of food security. The inclusion of the cases section in the book helps to outline the current scenarios of the developing world. It helps to formulate a pathway or a way forward to understand the causes of food security. Food has now become a political context in the international system. The need for analyzing the political angle is necessary. The context of innovations and technological developments forms an important part of food security. The critique of existing policy systems across the developing world is a must need discussion as it is the policies that will make the food systems sustainable. Last but not least is to look at how the global food systems work and how far it has been able to fix the problems of food insecurity in the developing world. Overall, the book is an excellent interdisciplinary food security literature.

Medical imaging is fundamental to modern healthcare, and its widespread use has resulted in creation of image databases. These repositories contain images from a diverse range of modalities, multidimensional as well as co-aligned multimodality images. These image collections offer opportunity for evidence-based diagnosis, teaching, and research. Advances in medical image analysis over last two decades shows there are now many algorithms and ideas available that allow to address medical image analysis tasks in commercial solutions with sufficient performance in terms of accuracy, reliability and speed. Content-based image retrieval (CBIR) is an image search technique that complements the conventional text-based retrieval of images by using visual features, such as color, texture, and shape, as search criteria. This book emphasizes the design of wavelet filter-banks as efficient and effective feature descriptors for medical image retrieval.Firstly, a generalized novel design of a family of multiplier-free orthogonal wavelet filter-banks is presented. In this, the dyadic filter coefficients are obtained based on double-shifting orthogonality property with allowable deviation from original filter coefficients. Next, a low complex symmetric Daub-4 orthogonal wavelet filter-bank is presented. This is achieved by slightly altering the perfect reconstruction condition to make designed filter-bank symmetric and to obtain dyadic filter coefficients. In third contribution, the first dyadic Gabor wavelet filter-bank is presented based on slight alteration in orientation parameter without disturbing remaining Gabor wavelet parameters. In addition, a novel feature descriptor based on the design of adaptive Gabor wavelet filter-bank is presented. The use of Maximum likelihood estimation is suggested to measure the similarity between the feature vectors of heterogeneous medical images. The performance of the suggested methods is evaluated on three different publicly available databases namely NEMA, OASIS and EXACT09. The performance in terms of average retrieval precision, average retrieval recall and computational time are compared with well-known existing methods.

This volume highlights cutting-edge research on Zero waste management and the associated effects of waste on the environment. Predominantly, it focuses on the challenges of dealing with the amassed production of waste and the cumulative impact of increasing waste on the biosphere. Different sections of this book focus on the comprehensive overview of the technological advancements driving the Zero Waste movement. Furthermore, it explores innovations in waste reduction, recycling, and repurposing, from a global perspective, examining the diverse cultural, social, and economic factors influencing the adoption of zero waste strategies worldwide. In addition, it discusses the challenges, and opportunities inherent in promoting a unified global effort toward sustainable resource management. Discover the latest breakthroughs in waste reduction, recycling, and resource optimization. This essential guide empowers you to implement practical, innovative solutions for a greener future. Whether a business owner, environmental enthusiast, or simply curious about sustainable living, this book is a roadmap to a cleaner and healthier planet.

This textbook introduces readers to a comprehensive framework for the application of deterministic optimization strategies in the field of chemical processes, with a strong emphasis on sustainability.The book establishes a vital connection between fundamental deterministic optimization principles, optimization tools, and real-world application instances, all within the context of environmentally responsible practices. The approach put forth in this book is exceptionally versatile, allowing for the use of many optimization software and deterministic techniques.Contained in the book are many fundamental optimization concepts, encompassing linear programming, nonlinear programming, integer programming, and multi-objective optimization, all tailored to promote sustainable decision-making. Furthermore, the book provides practical examples illustrating the application of these techniques within sustainable chemical processes as tutorials.The textbook also explores the utilization of popular optimization software platforms such as GAMS, MATLAB, and Python, demonstrating how these tools can be leveraged for eco-friendly process optimization. Through this comprehensive framework, readers can not only acquire the skills needed to optimize a wide range of processes but also learn how to do so with sustainability at the forefront of their considerations. This approach streamlines the optimization process, eliminating unnecessary complications along the way and ensuring that environmental and ethical considerations are integral to the decision-making process.

This book discusses opportunities, costs, and governance issues within the wildlife tourism space in Southern Africa. Wildlife tourism is a very important sector in Southern Africa. As such, the book discusses sustainable economic benefits local communities derive from wildlife tourism while also supporting wildlife conservation. It addresses several contemporary issues that have affected wildlife tourism, focusing on different countries in the region. These issues include international agreements such as CITES, the decline in wildlife species and reactions from the international community, human-wildlife conflicts and conflicts between states, indigenous communities living adjacent to protected areas hosting wildlife, and how to address these. As such, the book is a useful resource for researchers, tourism stakeholders, policy makers and students, especially those studying natural resource management, tourism and development and sustainable development in Southern Africaand other parts of the developing world.

This book explores and discusses how businesses transit from big data and business analytics to artificial intelligence (AI), by examining advanced technologies and embracing challenges such as ethical issues, governance, security, privacy, and interoperability of capabilities. This book covers a range of topics including the application of cyber accounting and strategic objectives, financial inclusion, big data analytics in telecommunication sector, digital marketing strategies and sports brand loyalty, robotic processes automation in banks, and the applications of AI for decision-making in human resources, healthcare, banking, and many more. The book provides a comprehensive reference for scholars, students, managers, entrepreneurs, and policymakers by examining frameworks and business practice implications through its discussions which embrace a wide variety of unique topics on business analytics, AI, and how it can be applied together to address the challenges of the digital era.

The two open access volumes LNCS 14574 and 14575 constitute the proceedings of the 27th International Conference on Foundations of Software Science and Computation Structures, FOSSACS 2024, which took place in Luxembourg in April 2024.The 24 full papers included in this book were carefully reviewed and selected from 79 submissions. They were organized in topical sections as follows: Part I: Infinite games; categorical semantics; automata and synthesis; Part II: Types and programming languages; logic and proofs; infinite-state systems.

This open access book investigates from a life-course perspective the individualization process and the challenges faced by young adults in post-collectivist China, where people are enjoined to "liberate" (jiefang) their individual capacities, to "rely on themselves" (kao ziji) and to no longer "depend on the state" (kao guojia). Based on unique quantitative and qualitative data, this book provides a solid empirical portrait of Chinese youths and transformation of social policies in post-collectivist ChinaThis book will be a great resource to students, academics as well as social scientists and policy-makers who wish not only to understand how, in such a short period of time, young adults and their families have managed to navigate from a relatively egalitarian society to one of the most unequal, but also how the articulation between socialist and neoliberal ideologies is reconfiguring social and economic relations as well as women's and men's life-course.The basis of the English translation of this book from its French original manuscript was done with the help of artificial intelligence. A subsequent human revision and rewriting of the content was done by the author.

This book demystifies the topic of Artificial Intelligence for readers of varying backgrounds. The content should enable many people to discuss and follow ongoing developments in an informed way, to draw conclusions for their own life and workplace and to acquire the necessary new knowledge. The book strives to provide basic knowledge that will objectify the discussions and relieve some of the creepiness of utopian films. It must also be understood that research results are a necessary condition for progress; they are not sufficient until they can be translated into practice embedded in programs. This difficult relationship between theory and practice has been known for a long time.

This book explores toric topology, polyhedral products and related mathematics from a wide range of perspectives, collectively giving an overview of the potential of the areas while contributing original research to drive the subject forward in interesting new directions. Contributions to this volume were written in connection to the thematic program Toric Topology and Polyhedral Products held at the Fields Institute from January-June 2020. 16 original conributions were inspired or influenced by the program.Toric Topology arose as a subject in its own right about twenty-five years ago. It sits at the intersection of commutative algebra, topology, combinatorics, algebraic geometry, and symplectic and convex geometry. Polyhedral products are a functorial generalization of a construction that is at the centre of Toric Topology. They are of independent interest and unify several constructions that arise in a diverse range of areas, such as geometric group theory, homotopy theory, algebraic combinatorics and subspace arrangements.

This book concentrates on the famous Grothendieck inequality and the continued search for the still unknown best possible value of the real and complex Grothendieck constant (an open problem since 1953). It describes in detail the state of the art in research on this fundamental inequality, including Krivine's recent contributions, and sheds light on related questions in mathematics, physics and computer science, particularly with respect to the foundations of quantum theory and quantum information theory. Unifying the real and complex cases as much as possible, the monograph introduces the reader to a rich collection of results in functional analysis and probability. In particular, it includes a detailed, self-contained analysis of the multivariate distribution of complex Gaussian random vectors. The notion of Completely Correlation Preserving (CCP) functions plays a particularly important role in the exposition.The prerequisites are a basic knowledge of standard functional analysis, complex analysis, probability, optimisation and some number theory and combinatorics. However, readers missing some background will be able to consult the generous bibliography, which contains numerous references to useful textbooks. The book will be of interest to PhD students and researchers in functional analysis, complex analysis, probability, optimisation, number theory and combinatorics, in physics (particularly in relation to the foundations of quantum mechanics) and in computer science (quantum information and complexity theory).