Books published by Springer

This operations manual offers an accessible, step-by-step guide to launching, running, and achieving success with a life science and biotechnology business incubator. Written by the founder and President Emeritus of the Pennsylvania Biotechnology Center (PABC), one of the most successful biotech and drug discovery incubators in the United States, it is designed to introduce researchers and funders to the broad considerations and minute details of managing an incubation program.As of 2023, there are more than 1100 business incubators in the United States alone, and more than 5000 worldwide. One of the fastest-growing industries of the "new economy," science business incubators are a tool for regional economic stimulation and commercial development for universities and research organizations. The PABC was founded in 2006 as a state-of-the-art research facility; its purpose and operation is unusual and its success has been remarkable. It was created by the nonprofit Hepatitis BFoundation and its research arm, the Baruch S. Blumberg Institute, to help their effort to find a cure for hepatitis B. But it has proved to be more than a source of funding for those nonprofits - it has become a major economic driver for its region and Pennsylvania, creating thousands of jobs and bringing in billions of dollars to the local economy. The PABC's model has drawn attention from economists, legislators, and the research community. The strategy of bringing nonprofit research organizations and biotech startups under one roof was a founding principle, and has created powerful, lasting collaborations between scientific innovators, entrepreneurs and investors. The partnerships forged at the PABC have led to the discovery, testing, and FDA approval of new drugs for cancer and gastrointestinal diseases and medical devices, as well as multiple multimillion-dollar IPOs, and thousands of jobs. There are currently more than 50 startups housed in the Center's offices, ranging in focusfrom pharmaceuticals and diagnostics, to medical wearables and nanomedicine research.Curing Disease from the Ground Up: How to Operate a Biotechnology Business Incubator tells both a personal story about the ups and downs of leveraging a business incubator to fund and find a cure for a deadly disease, as well as providing a practical guide to running a business incubator. It is a first-hand, expert perspective for running a science business incubator, and explains how the success of the PABC can be learned and replicated. Whether it is developing a mission-focused framework, the practicalities of managing a scalable, business-savvy research nonprofit, identifying ideal tenant partners, or planning for the infrastructure needs of a large research facility, this manual is the first and last stop for entrepreneurial thinkers in this field.

This volume constitutes the revised selected papers of several workshops which were held in conjunction with the 5th International Conference on Process Mining, ICPM 2023, held in Rome, Italy, in October 23-27, 2023.The 38 revised full papers presented in this book were carefully reviewed and selected from 85 submissions. The book also contains one invited talk. ICPM 2023 presented the following six workshops: - 4th International Workshop on Event Data and Behavioral Analytics (EdbA)- 4th International Workshop on Leveraging Machine Learning in Process Mining (ML4PM)- 6th International Workshop on Process-Oriented Data Science for Healthcare (PODS4H)- 8th International Workshop on Process Querying, Manipulation, and Intelligence (PQMI)- 2nd International Workshop on Education Meets Process Mining (EduPM)- 2nd International Workshop on Collaboration Mining for Distributed Systems (COMINDS).

This volume uses advanced machine learning techniques to analyze government communication to evaluate policy effectiveness. The book develops policy effectiveness foundation models by cohorting historical budget policies with statistical models which are built on well reputed data sources including economic events, macroeconomic trends, and ratings and commerce terms from international institutions. By signal mining policies to the economic outcome patterns, the book aims to create a rich source of successful policy insights in terms of their effectiveness in bringing development to the poor and underserved communities to ensure the spread of wealth, social wellbeing, and standard of living to the common denomination of society rather than a selected quotient. Enabling academics and practitioners across disciplines to develop applications for effective policy interventions, this volume will be of interest to a wide audience including software engineers, data scientists, social scientists, economists, and agriculture practitioners.

This multi- and interdisciplinary book will offer novel environmental history (EH) research on Dinaric Karst, one of European largest continuous karstic areas, from prehistory to contemporary history. Various methodological approaches will be applied (e.g., archival investigations, oral-history interviews, field work and laboratory analyses). Historical human adaptations to karstic environmental conditions, human interventions in environment, environmental dynamics and impacts of environmental change will be dealt with by focusing on historical uses of natural resources, their further ecological implications (e.g., fire hazard) and their change over time, on natural and social impacts of changes in weather and climate, on pollution and on intellectual EH. General characteristics and local peculiarities will be identified based on comparisons with foreign literature. Primary audience are historians, geographers, archaeologists, anthropologists, ethnologists, foresters and landscapearchitects.Chapters 1, 5, 12 and 16 are available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.

This textbook presents the theory of continuous-time and discrete-time signals and systems and shows how it can be used to solve analytically different problems. The book is dedicated to engineering students who are interested in mathematical methods used to solve real technical problems connected with signals and systems. The book covers, both in continuous- and in discrete domains, analysis of signals in time domain; orthogonal signal representation including Fourier series; convolution and correlation of signals; analysis of signals in the frequency domain and signal sampling, including aliasing and stroboscopic effects, among others. The author also emphasizes the role of Fourier-, one-sided Laplace- and one-sided Z transformations in signals and systems. Chosen methods of analog and digital filter design and stability criteria of analog and digital filters are also described. The author presents the necessary theory in the form of a concise "lecture" accompanied with a number of solved original problems. Every chapter ends with examples of complete solutions with explanation and necessary graphical visualization (graphs, schemes etc.).

This book analyses the possible regionalization of global value chains, particularly in manufacturing. Amidst calls for an industrial renaissance in Europe and a resurgence of manufacturing jobs in the United States, the dynamics of global value chains have been reshaped by global pandemics, geopolitical tensions, and increased automation. Employing a multi-regional input-output model, the book scrutinizes the decline in offshoring afer the mid-2010s. It sheds light on regionalization as a pivotal force redefining global markets, and focuses on Europe and North America, revealing the strengthening of regional ties. Discussing future challenges, the book will appeal to scholars, students, and researchers, as well as practitioners and policy-makers interested in a better understanding of (de)globalization nuances connected to the evolving role of manufacturing in global value chains.

This interdisciplinary anthology offers both theoretical reflections and empirical data on past, present and possible future war and crisis situations. In addition, against the background of the authors' academic and practical experience in the field of international political observation and consultancy, proposals are formulated for peacekeeping in crisis regions and with regard to extreme environments. Furthermore it addresses sensory and aesthetic perceptions of war and peace. Unlike other books on the subject, this contributed volume seeks solutions for lasting peace from various fields that could help improve quality of life for people around the world - especially in heterogeneous societies, which are often shaken by religious, ethnic or political crises.

This textbook introduces graduate and upper undergraduate students to Dynamic Stochastic General Equilibrium (DSGE) models. As DSGE models become integral in advanced coursework, this book serves as an invaluable guide, explaining the complexities with a methodological red thread across its five chapters. Starting with the stochastic dynamic models of the Real Business Cycle (RBC) and progressing through the field of New Keynesian Macroeconomics (NKE), it employs DSGE models to shed light on the dynamic nature of economic systems.The book presents the Blanchard-Kahn methodology for theoretical solutions, discussing its usefulness and limitations as models evolve in complexity. The book goes on to explain the shift from analytical to numerical solutions, showcasing the DYNARE software and providing coding insights. Unique to this volume is a chapter on difference equations, equipping students with essential mathematical tools, and a concluding exploration of a medium-sized NewKeynesian Economics model.This book will equip students to navigate the theoretical complexities of the topic and to independently replicate and comprehend the presented results. It bridges the gap between classical and Keynesian paradigms, reviving the debate in today's "RBC vs NKE" landscape. It will enable students to master the essence of macroeconomic theories and methodologies, paving the way for their scholarly pursuits.

This publication includes an unabridged and annotated translation of two works by Johann Heinrich Lambert (1728-1777) written in the 1760s: Vorläufige Kenntnisse für die, so die Quadratur und Rectification des Circuls suchen and Mémoire sur quelques propriétés remarquables des quantités transcendentes circulaires et logarithmiques. The translations are accompanied by a contextualised study of each of these works and provide an overview of Lambert's contributions, showing both the background and the influence of his work. In addition, by adopting a biographical approach, it allows readers to better get to know the scientist himself. Lambert was a highly relevant scientist and polymath in his time, admired by the likes of Kant, who despite having made a wide variety of contributions to different branches of knowledge, later faded into an undeserved secondary place with respect to other scientists of the eighteenth century. In mathematics, in particular, he is famous for his research on non-Euclidean geometries, although he is likely best known for having been the first who proved the irrationality of pi. In his Mémoire, he conducted one of the first studies on hyperbolic functions, offered a surprisingly rigorous proof of the irrationality of pi, established for the first time the modern distinction between algebraic and transcendental numbers, and based on such distinction, he conjectured the transcendence of pi and therefore the impossibility of squaring the circle.

This book offers a broad selection of statistical applications to everyday situations, illustrating how exciting and diverse statistical analysis can be. It covers a wide variety of topics, including offering hearing-impaired people the option to enjoy music, extracting meaningful quantitative data from texts, and modeling flood disasters to help get a better grip on them. Most of the examples are not typically found in textbooks but directly relate to real-life problems encountered by the "average person", including topics relevant for sustainable development.Technical jargon and formalism have been avoided as much as possible, and a detailed statistical background is not assumed of the reader, making the book accessible to anyone interested in current research in statistical applications. Providing an unobscured look at a thoroughly fascinating science, it will help students to develop enthusiasm for statistical issues and methods, and may even inspire ideas for their own projects.

What Evolutionary Medicine and Psychoneuroimmunology Teach About Chronic Inflammation and Aging Pain, Sleep Disorders, and More: Learn how to better understand your illness and aging, and maintain physical and mental performance A scientific non-fiction book from a holistic perspective.

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.

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 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 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 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.

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.

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.

This text is the first comprehensive attempt in decades to integrate reading into the philosophical discussion of the synthesis of experience more generally. It offers a comprehensive critique of three disciplinary approaches to reading: philosophical, literary and empirical/neuroscientific, while developing an innovative and unifying phenomenological account. It discusses texts from a variety of contemporary and historical contexts. It is inclusive, treating non-fiction alongside fiction, literary art alongside everyday texts, and narrative alongside thematic discourse. It addresses all reading practices found today: casual and unreflective reading, close and scholarly reading with re-reading, the analysis of literary art, and sacred text study and memorization. In the current intellectual landscape, the book is unique in bringing all these aspects together in a philosophically coherent discussion. The book provides a critique of philosophical accountsof text meaning and linguistic experience by philosophers from Husserl and Ingarden to Sartre, Merleau-Ponty, Arendt, Gadamer and Derrida, and examines the positions of contemporary 'naturalizing' phenomenologists, such as Varela and Thompson. Also treated are neuroscientists such as Dehaene, and theorists of consciousness such as Kintsch, Flanagan and Dennett. Finally, this volume engages with psychological, linguistic, structuralist, 'theory of mind' and 'experiential' approaches in literary studies, from Bühler and Hamburger to Fludernik, Herman and Kuzmičová. It appeals to students and researchers working in these fields.