Böcker utgivna av Springer

The effects of climate change on food safety and plant health represent a relatively new area of study. However, evidence from recent studies is clear: climate change contributes to increased and new food safety & plant health risks as one of several global change factors. This volume analyzes the scientific understanding of the relationship between climate change, food safety, plant pests, plant diseases, and trade. It identifies and discusses four key areas for future policy consideration: risk assessment, SPS capacity in developing countries, climate change resilience, and basic research challenges. We must effectively communicate the impacts of climate change on plant health and build the capacity of national plant protection organizations. More importantly, we need to mobilize resources that will help build stronger national phytosanitary systems that can prevent the spread of plant pests, thereby protecting our food sources and environment, and facilitating safe trade.The present volume is an asset for plant quarantine personnel working in the field, agricultural university students, plant health workers, farmers doing agriculture, plant & seed traders, and all those who use agricultural produce and products. The book is a useful resource for students and professional plant pathologists, entomologists, and plant breeders because it summarizes current knowledge and suggests new research directions. It is also suitable for ecologists & researchers working on crop protection, climate change, and pest control.

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.

Businesses in African countries continued to face crises due to COVID-19, supply chain, and climate change. Governments can take steps to increase businesses' resilience by supporting and promoting sustainable development. In turn, businesses can increase their resilience by promoting the resilience of their employees. This book explores the current state of management and resilience in African nations and discusses issues that revolve around its reciprocal impact on global business, government, and society. Featuring select papers from the 4th Annual Current Business Issue in African Countries (CBIAC) Conference held in Agadir, Morocco in 2023, this book focuses on the synergies between climate change, supply chain and sustainable development, particularly post pandemic featuring content from business and NGO leaders, faculty, and students. The impetus of the CBIAC conference was the discussions held at the United Nations Conference on Trade and Development (UNCTAD) held in Nairobi, Keyna in July 2016 and in Bridgetown, Barbados, and Geneva in October. The goal of the conference is to create long-term collaborative relationships between business leaders, faculty, researchers, students, and community members from different African nations.

This book offers a cutting-edge perspective of design for space to increase astronauts' wellbeing and performance creating a more sustainable and inclusive environment, but without to forget beauty. The relevant aspect is that these design principles are now also supported and promoted by the European Community with the New European Bauhaus project. It is legitimate to affirm that Space Design is a precursor and inspiring these principles. Space exploration has shown us how results of space research inspire management policies addressing important earth issues such as the responsible use of resources as well as ethical behavior leading to sustainable and inclusive choices. The International Space Station (ISS) is the most successful virtuous example of circular economy and sustainability by almost totally recycling the waste produced. Recently the European Space Agency (ESA) launched the first call for "parastronauts" opening the fly possibilities to people with physical disabilities and thus affirming the principle of inclusion in space. Thanks to design--a bridge between science, technology, and beauty--space opens up to new creative experiments, placing the human being at the center of the interplanetary exploration programs to ensure extra-terrestrial habitats safer, more comfortable, and efficient, where crew will feel "like at home".

This book is designed to be the introductory work in the Water-Energy-Environment-Governance from Interdisciplinary Perspectives Series and provides an in-depth look at sustainable development and management in the water sector across. The water-energy-environment nexus (WEEN) represents important interstate connections of water, energy, and the environment. Present day water and energy systems are interdependent. Water is used in all phases of energy production and electricity generation. Energy is required to extract, convey, and deliver water of appropriate quality for diverse human uses and then again to treat waste waters prior to their return to the environment. Security in water, energy, and the environment is associated with human, economic, and environmental sustainability. This interweaving is strengthening under aggregating natural resource scarcity and climate change. This book includes selected papers from the 6th International Symposium on Water Resource and EnvironmentalManagement (WREM 2023) and consists of themes pertaining to water resource and environmental management. It provides readers with comprehensive information, and formulation of solutions leading to a set of Water-Energy-Environment-Governance from Interdisciplinary Perspectives through our forum and the publication of your research. As a reference, it is of interest to students, scientists, engineers, government officials, and water resource managers.

This book explores the complexities of landslide susceptibility and critical rainfall conditions in Lower Austria through a detailed analysis and actionable insights. This work provides a comprehensive approach to understanding LANDSLIDE risks by using data-driven methodologies, run-out models, and economic risk assessments . The book offers two types of scenarios: one that models more fluid LANDLSIDE movements and another that models more solid patterns, each responding differently to triggering events. This dual approach offers a more nuanced understanding of the variables at play, making the book an essential resource for those looking to make informed decisions ON LANSLIDE HAZARDS AND RISKS. If you are a policy-maker, an urban planner, or an environmental scientist, this book provides you with the tools needed to mitigate LANDSLIDE risks and improve safety measures. The focus here is on delivering solutions that have both immediate and long-term applications in the real-world context. The book fills a gap in the existing literature by providing a multi-dimensional, cross-sectoral assessment of landslide HAZARDS AND risks. Using state-of-the-art spatiotemporal LANDSLIDE models, the book goes beyond traditional hazard analysis to integrate critical variables like soil depth, economic impact, and climate conditions, here defined as scenarios. This approach provides a more holistic view of the risks, making it a valuable resource for both research and practical application. The principal audience remains environmental researchers and risk management professionals.

How Geometric Algebra can naturally serve for constructing solutions for pattern recognition, machine learning, data compression, games, robotics, quantum computing, data encoding, to cite a few. Moreover, there is ample evidence that further research on GA and related areas can significantly expand the number of real-world applications in a wide variety of areas. A mathematical system that is very easy to handle, highly robust and superior performance for engineering applications. Good thematic introduction for engineers and researchers new to the subject. Extensive illustrations and code examples. Thematically well structured with many hands on examples. Learning about GA and how to use it for daily tasks in engineering research and development.

Cultivated meat is an emerging substitute for conventional meat that is not associated with animal farming and slaughtering. Instead, animal cells are cultivated in bioreactors and post-processed into "artificial" meat products. Although this new technology solves several ethical and environmental problems, there are techno-economic challenges that need to be addressed to make the commercial-scale production of cultivated meat a real perspective. This book addresses fundamental aspects of new food systems, animal cell culture and cultivated meat production, including cell lines, culture media, microcarriers and scaffolds, bioreactors, downstream processes, formulation, packaging, quality control, scale-up, and waste management. Also, aspects related to commercialization, market, patents, legislation, global and regional policies, and sustainability metrics such as life-cycle assessment, together with a bioeconomy perspective analysis, are reviewed. Finally, case studies are presented and the challenges and future prospects for cultivated meat production are proposed. This book is a collection of 20 chapters written by specialists in the field.

Monte Carlo Methods are among the most used, and useful, computational tools available today. They provide efficient and practical algorithms to solve a wide range of scientific and engineering problems in dozens of areas many of which are covered in this text. These include simulation, optimization, finance, statistical mechanics, birth and death processes, Bayesian inference, quadrature, gambling systems and more.This text is for students of engineering, science, economics and mathematics who want to learn about Monte Carlo methods but have only a passing acquaintance with probability theory. The probability needed to understand the material is developed within the text itself in a direct manner using Monte Carlo experiments for reinforcement. There is a prerequisite of at least one year of calculus and a semester of matrix algebra.Each new idea is carefully motivated by a realistic problem, thus leading to insights into probability theory via examples and numerical simulations. Programming exercises are integrated throughout the text as the primary vehicle for learning the material. All examples in the text are coded in Python as a representative language; the logic is sufficiently clear so as to be easily translated into any other language. Further, Python scripts for each worked example are freely accessible for each chapter. Along the way, most of the basic theory of probability is developed in order to illuminate the solutions to the questions posed. One of the strongest features of the book is the wealth of completely solved example problems. These provide the reader with a sourcebook to follow towards the solution of their own computational problems. Each chapter ends with a large collection of homework problems illustrating and directing the material. This book is suitable as a textbook for students of engineering, finance, and the sciences as well as mathematics. The problem-oriented approach makes it ideal for an applied course in basic probability as well as for a more specialized course in Monte Carlo Methods. Topics include probability distributions, probability calculations, sampling, counting combinatorial objects, Markov chains, random walks, simulated annealing, genetic algorithms, option pricing, gamblers ruin, statistical mechanics, random number generation, Bayesian Inference, Gibbs Sampling and Monte Carlo integration.

This book offers an enhanced and comprehensive understanding of control theory and its practical applications. The theoretical chapters on control tools have been meticulously revised and improved to provide a clearer and more insightful exploration of the fundamental concepts and ideas. The explanations have been refined, and new examples have been added to aid comprehension. Additionally, a new chapter on discrete-time systems has been included, delving into an important aspect of control theory. Advanced topics in control are also covered in greater detail, ensuring a comprehensive treatment of the subject matter. The section on experimental applications has been revamped to showcase the application of control ideas in various scenarios. Several chapters have been replaced with fresh content that focuses on controlling new and different experimental prototypes. These examples illustrate how control concepts can be effectively applied in real-world situations. Furthermore, this book introduces a new approach for control of non-minimum phase systems and explores the concept of differential flatness for multiple-input multiple-output systems. Additionally, a fascinating application involving a wheeled pendulum mobile robot has been included. While some chapters have been replaced, the second edition retains the chapters on the control of DC motors and the control of a magnetic levitation system. However, the material in the former chapter is mostly new, and the latter chapter is entirely supported by new control concepts and ideas.

This book presents a multidisciplinary approach to digital transformation process of organizational transformation, offering support throughout the implementation process to all those interested. The digital transformation (DT) is a priority for many companies in the context of technological evolution. The use of appropriate tools, methodologies, methods, approaches, and techniques for DT, depending on the organizational characteristics, can contribute to a complete approach to organizational processes and to their efficiency. Digital transformation involves the adoption and use of new digital technologies to develop new products and services, modify existing ones and develop new business models to increase efficiency, productivity, and competitiveness. Starting from marketing to culture and education to health, automotive, engineering, mobility and human resources and others, it is addressed to professionals, practitioners, researchers, students, and other interested parties.

This book provides guidance and insight into the development process for safety indicators to comply with general classification rule requirements. The utilisation of this guidance will provide tangible benefits as the marine and offshore industry is able to realise the positive results of tangible safety indicators that are developed correctly and managed appropriately throughout the lifecycle of the vessel or platform. In the marine and offshore industry, design and equipment configurations vary from one system to the next, and systems are in many cases increasingly complex. There are gaps in codes and standards which may lag technological innovations and there are issues related to interfaces between systems. Safety indictors such as risk analyses, FMEA, job safety analyses, management of change procedures, HSQE, technical manuals and reliability-based maintenance provide a formalised approach to identify hazardous situations, address the gaps and interconnection variances, and improve safety, environmental performance and operational downtime. The majority of Classification Societies ('Class') require their clients to develop and submit safety indicators as part of the classification requirements for certain systems and to obtain certain special notations.

This textbook provides researchers, post-graduate students, and practitioners with a systematic framework for coping with uncertainty when making facility location decisions. In addition to in-depth coverage of models and solution techniques, application areas are discussed. The book guides readers through the field, showing how to successfully analyze new problems and handle new applications. Initially, the focus is on base models and concepts. Then, gradually, more comprehensive models and more involved solution algorithms are discussed. Throughout the book, two perspectives are intertwined: the paradigm for capturing uncertainty, and the facility location problem at hand. The former includes stochastic programming, robust optimization, chance-constrained programming, and distributional robust optimization; the latter includes classical facility location problems and those arising in many real-world applications such as hub location, location routing, andlocation inventory.

This book collects the edited and reviewed contribution presented in the 10th iTi conference in Bertinoro, covering fundamental and applied aspects in turbulence. In the spirit of the iTi conference, the book is produced after the conference so that the authors had the opportunity to incorporate comments and discussions raised during the meeting. The iTi has become an established biannual conference on turbulence research with 80 to 100 participants and places value on creating an environment to stimulate discussions and personal contacts in the beautiful town of Bertinoro in Northern Italy close to Bologna, continuing a tradition that has started in Bad Zwischenahn/Germany with the first edition of the conference in 2003. The content-related focus areas of the conference are the interdisciplinary aspects of turbulence, defining the abbreviation iTi¿interdisciplinary turbulence initiative. iTi attracts scientist from the engineering, physics, and mathematics communities.

This volume presents a selection of articles which explore methodological and applicative aspects of textual data analysis. Divided into four parts, it begins by focusing on statistical methods, and then moves on to problems in quantitative language processing. After discussing the challenging task of text mining in relation to emotional and sentiment analyses, the book concludes with a collection of studies in the social sciences and public health which apply textual data analysis methods.The refereed contributions were originally presented at the 16th International Conference on Statistical Analysis of Textual Data (JADT 2022), which took place in Naples, Italy, on July 6-8, 2022. The biennial JADT meeting discusses theories, problems, and practical uses of textual data analysis in various fields, sharing a quantitative approach to the study of lexical, textual, pragmatic or discursive features of information expressed in natural language.

This book delves into the p-adic Simpson correspondence, its construction, and development. Offering fresh and innovative perspectives on this important topic in algebraic geometry, the text serves a dual purpose: it describes an important tool in p-adic Hodge theory, which has recently attracted significant interest, and also provides a comprehensive resource for researchers. Unique among the books in the existing literature in this field, it combines theoretical advances, novel constructions, and connections to Hodge-Tate local systems.This exposition builds upon the foundation laid by Faltings, the collaborative efforts of the two authors with T. Tsuji, and contributions from other researchers. Faltings initiated in 2005 a p-adic analogue of the (complex) Simpson correspondence, whose construction has been taken up in several different ways. Following the approach they initiated with T. Tsuji, the authors develop new features of the p-adic Simpson correspondence, inspired by their construction of the relative Hodge-Tate spectral sequence. First, they address the connection to Hodge-Tate local systems. Then they establish the functoriality of the p-adic Simpson correspondence by proper direct image. Along the way, they expand the scope of their original construction. The book targets a specialist audience interested in the intricate world of p-adic Hodge theory and its applications, algebraic geometry and related areas. Graduate students can use it as a reference or for in-depth study. Mathematicians exploring connections between complex and p-adic geometry will also find it valuable.

Unlike the structured world of computer science, biology is complex, evolving, and often lacks clean abstract models. This book aims to serve as a guide for computer scientists who need to understand cell biology, breaking the field into three parts: biological mechanics, experimental methods, and language/nomenclature. While biological mechanics, which investigates cellular-level details, is covered by many texts, this book also focuses on experimental methods - how biologists conduct experiments and gather data - and on helping the reader understand the language and terminology of biology, which is rich but challenging for non-biologists. A Computer Scientist's Guide to Cell Biology uses a metaphor of biology as a strange land with an unfamiliar language and customs. The goal of the book is to provide a high-level introduction to cell biology, simplifying concepts and relating them to familiar ideas from computer science, so that working computer scientists can more effectively understand read recent research papers and results.This Second Edition contains a number of updates, including discussions of CRISPR, advances in DNA Sequencing, and mRNA vaccines. It serves as an easy-to-read travel guide for computer scientists navigating the intricate and sometimes perplexing terrain of cell biology, offering insights into experimental methods and helping bridge the gap between the structured world of computer science and the complexities of biological systems.

This book explores the multiple facets of habit from diverse and complementary theoretical frameworks. It provides a complete overview of the cognitive, computational, and neural processes underlying the formation of distinct forms of habit. The objective of the book is to cover (1) the multiple definitions of the habit construct and the relation between different habit-related concepts, (2) the underlying brain circuits of habits, and (3) the possible involvement of habits in psychiatric disorders such as alcohol and substance use disorder. This book will be of interest to all researchers in behavioral and computational neuroscience, psychology, and psychiatry who are interested in associative learning and decision making, under normal and pathological conditions.

This book explores the possibility of building the resilience of the UNESCO cultural landscapes, both using theoretical conceptions and practical strategies and actions. Two case studies have been selected, one in Italy and one in China, which have then been explored for the first time in such a comparative way. Different notions of landscape, as well as the driving force of changes affecting these landscapes, are examined and compared. Moreover, the perceptions of the local communities regarding these landscapes are examined, using online questionnaires with over 400 participants. This research highlights the need for an integrated management system, building stronger rural communities able to manage change and continuity. Five pillars to build the resilience of these landscapes have been provided, with schemes and figures, requiring a people-centered approach in their management. This book demonstrates strong connections between identity and landscape resilience, especially in inlandareas where the sense of identity is most prominent. Furthermore, it is structured to make it possible to replicate this investigation in ordinary case studies, i.e. ordinary landscapes. Scholars and professionals interested in cultural landscapes and heritage conservation are target of this book, as well as site managers.

This book continues the mission of the previous text by the author, Lectures on Categorical Data Analysis, by expanding on the introductory concepts from that volume and providing a mathematically rigorous presentation of advanced topics and current research in statistical techniques which can be applied in the social, political, behavioral, and life sciences. It presents an intuitive and unified discussion of an array of themes in categorical data analysis, and the emphasis on structure over stochastics renders many of the methods applicable in machine learning environments and for the analysis of big data. The book focuses on graphical models, their application in causal analysis, the analytical properties of parameterizations of multivariate discrete distributions, marginal models, and coordinate-free relational models. To guide the readers in future research, the volume provides references to original papers and also offers detailed proofs of most of the significant results. Like the previous volume, it features exercises and research questions, making it appropriate for graduate students, as well as for active researchers.

This open access book is an exploration of city responses to migrants with a precarious status in Europe. It provides new evidence and analysis from research on three cities in Austria, Germany and the UK: Vienna, Frankfurt and Cardiff. The book explores strategies and services of municipal authorities towards precarious migrants and their cooperation with non-governmental organisations (NGOs) in service provision. It focuses on healthcare, education, housing and access to advice; and particular attention is given to the situation of women.The book develops the concept of precarity in relation to migration status, and of horizontal governance arrangements within municipal authorities. It explores the tension between exclusion and inclusion of migrants who have limited rights of access to welfare services, and contributes evidence on the factors shaping municipal policy making, as well as on the framing of rationales for providing access to essential services.

The introduction and a theoretical summary of language anxiety research (Chapter 1) are followed by four chapters: Chapter 2 presents a meta-analysis of the widely used Foreign Language Classroom Anxiety Scale¿s (Horwitz, et al., 1986) factorial structure; Chapter 3 reports on a validation study of the Hungarian version of MacIntyre and Gardner¿s (1994) Input, Process, and Output Anxiety Scales; Chapter 4 presents the development of a skills-based anxiety questionnaire through a three-phased study consisting of an exploratory qualitative phase as well as two quantitative phases using Rasch analysis; and Chapter 5 focuses on empirical approaches available for tapping into the dynamic change of this emotion, including the idiodynamic method and quantitative analyses such as latent growth curve modeling and dynamic cluster analysis.

This volume uses aerosol optical depth (AOD) analysis through mapping and remote sensing techniques to derive the relationship between aerosols and hazardous precipitation events, primarily in the form of flooding. Attention is also given to pollution caused by an abundance of particulate matter in the atmosphere and its impacts on human health, which is also assessed via the study of AOD. Background is given on how AOD is retrieved, and why it is a useful tool for estimating atmospheric particle concentration, but also the challenges associated with using this approach. Different aerosol types are introduced to perform a comparative analysis of the most common associations between pollution impacts on temperature and resulting precipitation events. These analyses will help to provide an overview of the best strategies to make informed and sustainable disaster risk management practices and policies. The target audience for the work is students, researchers, and scientists working witha vision towards sustainability, public health safety and air pollution mitigation measures. It will also be a useful text for climate change policy makers, environmental engineers and stakeholders in social development sectors.

Artificial intelligence (AI) has the potential to radically transform our society. It may lead to a massive increase in the capabilities of humankind and allow us to address some of our most intractable challenges. It may also entail profound disruption to structures and processes that have sustained our society over centuries. These developments present a unique challenge to the socio-economic constitutional arrangements which govern our world at national, regional and international level. The deployment of increasingly powerful AI systems, able to function with increasing degree of autonomy, has led to concerns over loss of human control of important societal processes, over the disruption of existing economic, social and legal relationships, and over the empowerment of some societal actors at the expense of others, together with the entrenchment of situations of domination or discrimination. It has also made increasingly clear how tremendous the potential benefits, that these technologies may bring, are to those who successfully develop and deploy them. There is therefore great pressure on governments, international institutions, public authorities, civil society organisations, industry bodies and individual firms to introduce or adapt mechanisms and structures that will avoid the potentially negative outcomes of AI and achieve the positive ones. These mechanisms and structures, which have been given the umbrella term 'AI governance', cover a wide range of approaches, from individual firms introducing ethical principles which they volunteer to abide by, to the European Union legislating an AI Act, which will prohibit certain types of AI applications and impose binding obligations on AI developers and deployers. The fast pace of innovation in the development of AI technologies is mirrored by the fast pace of development of the emerging field of AI governance, where traditional legislation by public bodies is complemented with more innovative approaches, such ashybrid and adaptive governance, ethical alignment, governance by design and the creation of regulatory sandboxes. The chapter "AI and Sensitive Personal Data Under the Law Enforcement Directive: Between Operational Efficiency and Legal Necessity" is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.

This book provides a comprehensive exploration of SU-Field Analysis, a groundbreaking framework that delves into the intricate realms of fields, substances, and interactions. It commences with an introduction to the fundamental concepts (Chapter 1), followed by an elucidation of the basic configurations (Chapter 2) and an in-depth examination of various SU-Field systems (Chapter 3). Within Chapter 3, the text delves into the SU-Field model for fields, types of SU-Field systems for measurement and detection, and various SU-Field models. Subsequently, the book delves into the critical subject of eliminating harmful interactions (Chapter 4), discussing trends, introducing innovative solutions like S3, and exploring the use of substances and fields to decelerate detrimental effects. In Chapter 5, the focus shifts to finding desired effects, while Chapter 6 unveils the Law of Increasing Degree of SU-Field, elucidating its general trends and the forcing of substances and fields. Further insights into this law are presented in Chapter 6.4. Additionally, the book touches upon SU-Field Analysis in the context of information systems (Chapter 7) and introduces a new SU-Field structure (Chapter 8). The latter includes discussions on general concepts, parametric analysis, patterns of control elements, energy and information control, knowledge development, and structural analysis of information processing systems. Throughout, the book offers readers a comprehensive and detailed understanding of SU-Field Analysis, making it an invaluable resource for those seeking to explore this groundbreaking field.

This contributed volume presents an attempt to understand climatic variability and induced risk to livelihood of communities and to offer insights on how catastrophic conditions and crises can be mitigated through public policy interventions. The case studies herein offer insights into different spheres and domains affected by climate change and present models of adaptation possibilities. The book is divided into three thematic sections. The first contains chapters that deal with assessing the effects of climate change. The second section offers perspectives on adaptation and governance, vulnerability in the context of sustainable livelihoods. The third and last section looks at Policy and Governance, with respect to climatic change adaptation and mitigations. The lessons contained in this volume are useful to a wide audience including research scholars, students, policymakers, and planners.

The fast development of intelligent technologies in the previous years, their boost during the COVID crisis, and their huge acceleration with the proliferation of the Large Language Models has led industry, governance, legislators and regulators to race to achieve production control, striving to define regional and global regulatory frameworks, capable of guaranteeing their safe deployment.In an evolving and uneven regulatory context, balancing fast technological development and the safe and ethical use of these new disruptive technologies, with an expected total economic impact of 4.4 trillion dollars annually, becomes presently the biggest challenge. The present book addresses the fundamental role played by the three milestones- Benchmarking, Standardization, and Certification that are part of the developmental loop of all products in developed economies. The essential role played by these milestones and the importance of defining accurate general and specific metrics is addressed in this book with particular case studies in the domains of Robotics and AI-

This is the 28th issue of the Springer's series Eurasian Studies in Business and Economics, which is the official book series of the Eurasia Business and Economics Society (EBES, www.ebesweb.org). This issue includes selected papers presented at the 41st EBES Conference - Berlin that was held on October 12-14, 2022 and jointly be organized with GLO (The Global Labor Organization) and in collaboration with the FOM University of Applied Sciences. The conference was held both in hybrid with both in-person and online paper presentation format.

Traditionally, real estate has been burdened by challenges such as illiquidity, limited accessibility, opacity, complex transactions, high costs, and substantial capital requirements. However, tokenization emerges as a potential solution to many of these issues. In this book, the authors thoroughly investigate the innovative concept of tokenization in the real estate domain. Tokenization involves digitizing real estate assets and ownership, complemented by fractionalization, facilitated through blockchain technology. The book elucidates the fundamental principles, technologies, opportunities, and impediments associated with real estate tokenization. To fully capitalize on the theoretical advantages, the book furnishes specific recommendations for the overall market landscape and active participants, providing crucial guidance to encourage wider adoption and successful realization of the benefits offered by tokenized real estate.

Resource depletion and ecological risks are more than ever at the heart of societal and economic debates. In the 1970s, the developed countries saw the Fordist growth regime crumble in parallel with the growing awareness of the ecological issue. Since the first industrial revolutions, technological dynamics have been the cause of many environmental problems, and there is a consensus on the diagnosis. Integrated technologies reduce resource use and/or pollution at source by using cleaner production methods. This generally leads to a reduction in the by-products, energy inputs and resources used by companies to produce goods. Integrated production technologies reduce negative environmental impacts at source by substituting or modifying cleaner technologies. Examples of integrated, or cleaner, production technologies are the recirculation of materials, the use of environmentally friendly materials (such as the substitution of water for organic solvents), etc. However, the implementation of integrated production technologies is often hampered by obstacles related to cost, coordination and skill inertia problems and to the productive organisation of companies. In addition to the high investment costs of new integrated technologies, additional barriers may emerge depending on the nature of the environmental problem and the type of environmental regulation in question.