Books published by Springer

Biochemistry is concerned with the chemical processes that occur within living organisms and microorganisms. There have been a number of publications focusing on biochemistry and its use for understanding biochemical and molecular mechanisms, with the majority of the literature focusing on bench scale items. To date there has not been a comprehensive work focusing on the techno-economic and industrial aspects of biochemistry from the microeconomic and pilot scales. This text covers current innovations and advances in plant biochemistry, animal biochemistry, microbial biochemistry and medicinal biochemistry plus potential uses of proteomics, genomics, recombinant DNA technology and protein application. Recent Advances in Industrial Biochemistry focuses on methods for recombinant proteins production and purification plus metabolic engineering and other source technologies from the industrial viewpoint, providing comprehensive, up-to-date information and evidence on contemporary development in the field of industrial biochemistry. The major focus of this book is the key issues, opportunities, approaches, advancements, products, innovations and technologies in current biochemistry from micro scale to production at pilot scale. Chapters highlight the many potential commercial prospects in various industries from food to to pharmaceuticals to bioenergy, providing a valuable and unique single resource for researchers.

Over the last 20 years, so-called regression-based normative methods have become increasingly popular. In this approach, regression models for the mean and the residual variance structure are used to derive the normative data. The regression-based normative approach has some important advantages over the traditional normative approach, e.g., it allows for deriving more fine-grained norms and typically requires a substantially smaller sample size to derive accurate norms. This book focuses on regression-based methods to derive normative data. The target audience are psychologists and other researchers in the behavioral sciences who are interested in deriving normative data for psychological tests (e.g., cognitive tests, questionnaires, rating scales, etc.). The book provides the essential theoretical background that is needed to understand the methodology, with a strong emphasis on the practical/real-life application of the methodology. To this end, the book is also accompanied by an open-source software package (the R library NormData) that is used to exemplify how normative data can be derived in several case studies.

This book of Springer Nature is another proof of Springer's outstanding and greatness on the lively interface of Smart Computational Optimization, Green Infrastructure, Innovative Modeling and Deep Learning Architectures! It is a Master Piece of what our community of Academics and Experts can provide when an Interconnected Approach of Joint, Mutual and Meta Learning is supported by Holistic Operational Research and Experience of the World-Leader Springer Nature!  The 7th edition of International Conference on Intelligent Computing and Optimization took place at Baitong Hotel & Resort on October 26-27, 2023, with tremendous support from the global research scholars across the planet. Objective was to celebrate "Global Research Quality with Compassion and Wisdom" with researchers, scholars, experts and investigators in Intelligent Computing and Optimization across the globe, to share knowledge, experience and innovation-a marvelous opportunity for discourse and mutuality by novel research, invention and creativity.  This proceedings book of the 7th ICO'2023 is published by Springer Nature-Creativity Label of Inspiration.

​This book presents smart energy management in the context of energy transition. It presents the motivation, impacts and challenges related to this hot topic. Then, it focuses on the use of techniques and tools based on artificial intelligence (AI) to solve the challenges related to this problem. A global diagram presenting the general principle of these techniques is presented. Then, these techniques are compared according to a set of criteria in order to show their advantages and disadvantages with respect to the conditions and constraints of intelligent energy management applications in the context of energy transition. Several examples are used throughout the white paper to illustrate the concepts and methods presented. An intelligent electrical network (Smart grid--SG) includes heterogeneous and distributed electricity production, transmission, distribution and consumption components. It is the next generation of electricity network able to manage electricity demand (consumption/production/distribution) in a sustainable, reliable and economical way taking into account the penetration of renewable energies (solar, wind, etc.). Therefore, an SG smart grid also includes an intelligent layer that analyzes the data provided by consumers as well as that collected from the production side in order to optimize consumption and production according to weather conditions, the profile and habits of the consumer. In addition, this system can improve the use of green energy through renewable energy penetration and demand response.

This open access book provides multidisciplinary perspectives on the changing dynamics of new working spaces, with insights from various European countries and observing critical theoretical approaches. Divided into two main parts, the first part focuses on the different typologies of new working spaces, identifying the changing nature of these spaces and associated concepts, taxonomies, and specific approaches to this phenomenon. The second part analyzes the location of new working spaces, examining its recent evolution and identifying new factors and geographies, offering an additional empirical analysis of different European realities. The research included in this book contributes to the current discussion of new forms and geographies of work and their impact on the territories and related policies.

An international panel of experts have contributed to create the first comprehensive guide to spiritual care focussing on the palliative care setting from neonatal to aged care, combining the theoretical underpinnings of spirituality research with practical applications for its introduction into patient care. This book is structured to give a detailed understanding of the importance of spirituality for patients approaching the end of life as well as the impact of spiritual care on patients, families and carers. As the first step towards reaching this goal, the need for spiritual care training of clinicians is outlined, including the crucial step of nurturing one's own spiritual life. Ways to identify and assess patients' spiritual needs are explained. The experience of existential suffering is explored along with discussion of the ways it can manifest and how it can be addressed. The implementation of spiritual care in the clinical setting is detailed with illustrations of the roleof each member of the palliative care team and the benefits of an institutional approach. This valuable resource provides not only empirical evidence for the importance of spiritual care but also practical guidance for those wishing to practice it. It is ideal for all those caring for patients of all ages at the end of life, including palliative care clinicians, spiritual care professionals, students and researchers, and anyone interested in creating meaning in the face of imminent death.

Environmental risks put one in six people at risk, as well as our complex ecosystems. Today, IoT sites can monitor the environment and assess risks. Clean technologies can help detect toxic substances, chemical spills, hazardous pollutants, and other issues, enabling both governments and industries to clean or protect the air, land, water, and other environments, and how IoT can support these processes. IoT-enabled environmental intelligence is the constant measurement and collection of our physical environment, through sensors and smart devices. Integrated sensors in irrigation facilities, water supply systems, pipelines, cisterns, weather stations, ocean, and industrial facilities--anywhere on the globe--can record temperature, relative humidity, water content, leaks, and any other physical parameters.

This book focuses on challenges that have arisen because of trash discharges and their potential causes and provides long-term sustainable solutions. Globally, the COVID-19 pandemic has caused immense devastation, leading to numerous fatalities as well as substantial economic losses and health issues. With the rise in COVID-19 cases, the amount of biomedical waste has multiplied, exposing more people to the epidemic. For developing countries, waste management is already a problem, and the waste generated during this pandemic situation has made things worse. If improper waste management techniques are not changed, the world will face a new crisis that could be referred to as a "garbage crisis." The increased quantity of COVID-19-associated waste (CAW) and their presence in the environment make them more vulnerable, potentially increasing the danger of food chain contamination. A few countries have already started putting emergency plans in place to address the "waste crisis." Given the paucity of information on the mutational features and potential hosts of this newly discovered COVID-19, there is a pressing need for an effective plan to protect India's ecosystem against further contamination. To handle the current crisis and prevent the anticipated waste disaster, it is imperative to construct a more effective, automated, computerized, and well-modified waste management system during the COVID-19 period.

By 2027, it had been seven years since the ground-breaking work on artificial psychology that changed the world, especially for the two scientists behind it. The work debut around the same time as the introduction of Large Language Model Chatbots like ChatSmart and Shakespear, and the power of its integration with them put many industries in a tailspin. Though the widespread use of Chatbots was now commonplace for many, the commercial and defense industries were still scrambling to regulate the use of them in research and universities. The scientists signed on to a contract with DARPA to build AI entities, but ultimately the agency decided the technology was too advanced and potential dangerous to dare bring to market and demanded the scientists destroy the entities and all evidence they existed. The researchers couldn't bring themselves to destroy what amounted to 20 years of work, so instead sent the entities to various locations around the world - hiding it in other research labs, hoping DARPA wouldn't find it. Meanwhile, each AI-entity was embracing its new home, growing, adapting, and evolving at an alarming rate. It will take everything the researchers have to find and reel them in, not yet knowing they had evolved beyond what the two of them ever imagined was possible. In the end, when they catch up to each one, the entities have reached a point where they realize they cannot evolve any further unless they can experience physical contact; not physical contact between humans and robots, but physical contact between robot and robot, ushering the world into and new paradigm where the difference between AI-entities and human entities becomes less and less discernible. All the AI and robotic science featured in the book is real; the story line is fictional, but with how fast innovation moves, it's not hard to envision.

This book offers an introduction to quantum technology that is specifically tailored to economists, students of economics, and professionals in the financial and payments industries. The book reviews quantum speedups that have been identified for algorithms used to solve and estimate economic models, including function approximation, linear systems analysis, graphical modeling, Monte Carlo simulation, matrix inversion, principal component analysis, linear regression, dynamic programming, interpolation, numerical differentiation, and true random number generation. It also provides an overview of quantum financial technology and its potential applications in economics and finance. Written by an interdisciplinary team with backgrounds in economics, computer science, and physics, this book offers a valuable guide for researchers and practitioners who want to understand the implications and possibilities of quantum technology for the field of economics.

This volume embarks on a research journey that focuses on the processes of economic and social value creation in the 21st century. Given that value creation is increasingly organized in networks consisting of businesses, governments, academia, civil society, and other societal stakeholders, the contributions address various aspects of and challenges in governing cooperation in value-creating networks. Exploring topics such as relational rationality, cultural complexity, shared value creation, and relational contracts, this book reveals the mechanisms and processes involved in governing the complexities of inter-sectoral relationships in a networked society. Given its scope and focus, this book will appeal to scholars of economics, economic sociology, organizational studies, and related fields.

This volume highlights the plant life of Nepal, which accounts for 20% of the Himalayan biodiversity. For the first time, this group of authors compile over 200 years' worth of local botanical research. Due to the high topographical diversity, Nepal has a very unique flora and vegetation. The chapters focus on cryptogams, phanerogams and alien flora. As an added bonus, historical background for native and invasive species, is explained. Aside from botanical knowledge, the authors also shed a light on Nepali geography, soil, climate and land use. To complete the picture, readers will find data on different plants, maps and photographs of unique species. This book is a valuable resource for Botanists and Ecologists, but also for interested travelers who would like to complement their next trek in Nepal.

This open-access edited volume brings together the latest research on Korean politeness (K-Politeness) from multidisciplinary and multimodal perspectives across a broad range of different interactional contexts and communication platforms, both online and offline. The volume examines how Korean language speakers construct, negotiate, and utilize politeness or impoliteness as discursive practices during daily interaction. The studies not only include intimate interactions between family members and friends, but also institutional interactions between business vendors and customers, doctors and patients, talk show hosts and their guests, as well as politicians. The studies include discussions on the perception of Korean (im)politeness of K-wave viewers and fans. The role of media is discussed and how it influences public discourse and speakers' perception and practice of Korean (im)politeness. This text also examines interactions through instant text messages, chat boxes in livestreaming sites, online chat boxes with business vendors, and related communication channels. Although the disciplines and methodologies may vary, the studies are based on empirical research. This volume provides new insights through contributions from researchers of different disciplines, including communications, sociolinguistics, conversation analysis, discourse analysis, and pragmatics; it appeals to students and researchers in these fields.

This book discusses statistical methods and their innovative applications in precision health. It serves as a valuable resource to foster the development of this growing field within the context of the big data era. The chapters cover a wide range of topics, including foundational principles, statistical theories, new procedures, advanced methods, and practical applications in precision medicine. Particular attention is devoted to the interplay between precision health, big data, and mobile health research, while also exploring precision medicine's role in clinical trials, electronic health record data analysis, survival analysis, and genomic studies. Targeted at data scientists, statisticians, graduate students, and researchers in academia, industry, and government, this book offers insights into the latest advances in personalized medicine using advanced statistical techniques.

This book constitutes revised selected papers from the workshops held at the 29th International Conference on Parallel and Distributed Computing, Euro-Par 2023, which took place in Limassol, Cyprus, during August 28-September 1, 2023. The 42 full papers presented in this book together with 11 symposium papers and 14 demo/poster papers were carefully reviewed and selected from 55 submissions. The papers cover covering all aspects of parallel and distributed processing, ranging from theory to practice, from small to the largest parallel and distributed systems and infrastructures, from fundamental computational problems to applications, from architecture, compiler, language and interface design and implementation, to tools, support infrastructures, and application performance aspects.LNCS 14351: First International Workshop on Scalable Compute Continuum (WSCC 2023). First International Workshop on Tools for Data Locality, Power and Performance (TDLPP 2023). First International Workshop on Urgent Analytics for Distributed Computing (QuickPar 2023). 21st International Workshop on Algorithms, Models and Tools for Parallel Computing on Heterogeneous Platforms (HETEROPAR 2023). LNCS 14352: Second International Workshop on Resource AWareness of Systems and Society (RAW 2023). Third International Workshop on Asynchronous Many-Task systems for Exascale (AMTE 2023). Third International Workshop on Performance and Energy-efficiency in Concurrent and Distributed Systems (PECS 2023) First Minisymposium on Applications and Benefits of UPMEM commercial Massively Parallel Processing-In-Memory Platform (ABUMPIMP 2023). First Minsymposium on Adaptive High Performance Input / Output Systems (ADAPIO 2023).

Die europäischen Grundrechte haben eine intensive Konjunktur vor allem in den Bereichen Daten- und Klimaschutz. Dort haben sie auch eine wichtige Funktion, um die UN-Ziele für eine nachhaltige Entwicklung zu erreichen, welche Maßnahmen zum Klimaschutz umfassen (SDG 13). Inwieweit bestehen Ansprüche auf Klimaschutz parallel zum BVerfG-Klimabeschluss? Die EGMR-Judikatur wird durchgehend stark einbezogen, ist sie doch vielfach noch immer Leitbild für die Auslegung der EGRC. Das gilt vor allem für die kommunikativen Grundrechte mit dem Dauerkonflikt zwischen Medienberichterstattung und Persönlichkeitsrecht. Insgesamt hat sich die EU-Grundrechtsdogmatik sowohl in der Rechtsprechung als auch in der Literatur erheblich fortentwickelt und wird umfassend kritisch gewürdigt - so zur Zulässigkeit der Vorratsdatenspeicherung. Das gilt auch für die neue Rolle des BVerfG zur Durchsetzung der EU-Grundrechte und für die Flüchtlingsproblematik.

Die europäischen Wirtschaftsgrundrechte wurden stark fortentwickelt, indem der EuGH die immer wieder beklagte grobmaschige Prüfungsdichte deutlich erhöht hat. Daraus ergeben sich wichtige Konsequenzen für die Verwirklichung des Klimaschutzes auf EU-Ebene, die mit dem BVerfG-Klimabeschluss abgeglichen werden. Wie können damit die UN-Ziele für eine nachhaltige Entwicklung erreicht werden, zu denen Maßnahmen zum Klimaschutz gehören (SDG 13)? Insoweit von Bedeutung sind auch die solidarischen Grundrechte vor allem in Gestalt des Umweltschutzes. Die sozialen Grundrechte hatten ihre Bewährungsprobe im Zusammenhang mit Covid 19. Ausführlich behandelt werden auch die Gleichheits- und Bürgerrechte, die justiziellen Rechte unter starkem Rückgriff auf die insoweit vielfältige EGMR-Judikatur, aber auch die jüngere EuGH-Rechtsprechung in Kartellsachen. Insgesamt erfolgt eine nähere Bewertung mit Blick auf die konkreten Konsequenzen.

New edition of well-known textbook Invaluable reference for professionals in industry Teaching materials available via editor

This book presents the technological advances in the field of mass spectrometry-based approaches for treating human diseases and diagnostics as well as the application of such approaches to study, in depth, human diseases, biomarkers discovery and validation, and to provide mechanistic insights of potential new therapeutics. This is an ideal book for students, technicians, researchers, and medical doctors that work in the field of mass spectrometry and proteomics

Artificial Intelligence (AI) is already present in our daily routines, and in the future, we will encounter it in almost every aspect of life - from analyzing X-rays for medical diagnosis, driving autonomous cars, maintaining complex machinery, to drafting essays on environmental problems and drawing imaginative pictures. The potentials of AI are enormous, while at the same time many myths, uncertainties and challenges circulate that need to be tackled. The English translation of the book "Künstliche Intelligenz - Was steckt hinter der Technologie der Zukunft?" originally published in German (Springer Vieweg, 2020), this book is addressed to the general public, from interested citizens to corporate executives who want to develop a better and deeper understanding of AI technologies and assess their consequences. Mathematical basics, terminology, and methods are explained in understandable language. Adaptations to different media such as images, text, and speech and the corresponding generative models are introduced. A concluding discussion of opportunities and challenges helps readers evaluate new developments, demystify them, and assess their relevance for the future.

This book is devoted to the fundamentals of order and rank statistics. Primarily focusing on theoretical properties, it also discusses practical aspects, including interesting applications of step and impulse functions for the distribution of random variables, magnitudes, and signs. New concepts are introduced, such as independent and semi-identically distributed random vectors and probability density-mass functions. This book also presents an investigation of relative magnitudes in order statistics, and of correlation coefficients among signs, ranks, and magnitudes. The basic concepts are described in clear terms, and step-by-step details are provided for most of the presented mathematical results. The exposition is accompanied by numerous examples and more than 100 exercises, for which a complete solution manual is available. Providing a useful reference, and requiring only a basic understanding of probability and random variables, the book will appeal to a wide readership.

Power markets are undergoing a major transformation from gas and oil-fueled generation toward renewable electricity production from wind and solar sources. Simultaneously, there is an increasing demand for electrification, coupled with long-term climate-induced weather changes. The uncertainties confronting energy market participants require sophisticated modelling techniques to effectively understand risk, many of which are covered in this book.Comprising invited papers by high-profile researchers, this volume examines the empirical aspects of forward and futures prices, uncovering patterns of noise factors in various European electricity markets. Additionally, it delves into the recent, influential classes of Hawkes and trawl processes, emphasizing their significance in energy markets. The impact of renewables on energy market prices is a pivotal concern for both producers and consumers. Mean-field games provide a powerful mathematical framework for this, and a dedicated chapter outlining their dynamics is included in the book. The book also explores structural financial products and their connection to climate risk as a risk management tool, underscoring the essential need for a comprehensive understanding of these products in the realm of "green finance," to which the energy industry is integral. Lastly, the book thoroughly analyzes spatial smoothing and power purchase (PPA) contracts, addressing central issues in energy system planning and financial operations.Tailored for researchers, PhD students, and industry energy analysts, this volume equips readers with insights and tools to navigate the constantly evolving energy market landscape. It serves as a sequel to the earlier Quantitative Energy Finance book, featuring all-new chapters.

The four-volume set LNICST 532, 533, 534 and 535 constitutes the refereed proceedings of the 5th EAI International Conference on Multimedia Technology and Enhanced Learning, ICMTEL 2023, held in Leicester, UK, during April 28-29, 2023.The 121 papers presented in the proceedings set were carefully reviewed and selected from 285 submissions. They were organized in topical sections as follows: AI-based education and learning systems; medical and healthcare; computer vision and image processing; data mining and machine learning; workshop 1: AI-based data processing, intelligent control and their applications; workshop 2: intelligent application in education; and workshop 3: the control and data fusion for intelligent systems.

The four-volume set LNICST 532, 533, 534 and 535 constitutes the refereed proceedings of the 5th EAI International Conference on Multimedia Technology and Enhanced Learning, ICMTEL 2023, held in Leicester, UK, during April 28-29, 2023.The 121 papers presented in the proceedings set were carefully reviewed and selected from 285 submissions. They were organized in topical sections as follows: AI-based education and learning systems; medical and healthcare; computer vision and image processing; data mining and machine learning; workshop 1: AI-based data processing, intelligent control and their applications; workshop 2: intelligent application in education; and workshop 3: the control and data fusion for intelligent systems.

The four-volume set LNICST 532, 533, 534 and 535 constitutes the refereed proceedings of the 5th EAI International Conference on Multimedia Technology and Enhanced Learning, ICMTEL 2023, held in Leicester, UK, during April 28-29, 2023.The 121 papers presented in the proceedings set were carefully reviewed and selected from 285 submissions. They were organized in topical sections as follows: AI-based education and learning systems; medical and healthcare; computer vision and image processing; data mining and machine learning; workshop 1: AI-based data processing, intelligent control and their applications; workshop 2: intelligent application in education; and workshop 3: the control and data fusion for intelligent systems.

This four-volume set constitutes the post-conference proceedings of the 7th EAI International Conference on Advanced Hybrid Information Processing, ADHIP 2023, held in Harbin, China, during September 22-24, 2023. The 108 full papers presented were selected from 270 submissions and focus on theory and application of hybrid information processing technology for smarter and more effective research and application. The theme of ADHIP 2022 was Hybrid Information Processing in Meta World. The papers are named in topical sections as follows: wireless communication for social information processing, artificial intelligence technology; Mobile education, mobile monitoring, behavior understanding and object tracking; wireless networks for social information processing, image information processing; mobile monitoring, civilian audio and acoustic signal processing.

This four-volume set constitutes the post-conference proceedings of the 7th EAI International Conference on Advanced Hybrid Information Processing, ADHIP 2023, held in Harbin, China, during September 22-24, 2023. The 108 full papers presented were selected from 270 submissions and focus on theory and application of hybrid information processing technology for smarter and more effective research and application. The theme of ADHIP 2022 was Hybrid Information Processing in Meta World. The papers are named in topical sections as follows: wireless communication for social information processing, artificial intelligence technology; Mobile education, mobile monitoring, behavior understanding and object tracking; wireless networks for social information processing, image information processing; mobile monitoring, civilian audio and acoustic signal processing.

This four-volume set constitutes the post-conference proceedings of the 7th EAI International Conference on Advanced Hybrid Information Processing, ADHIP 2023, held in Harbin, China, during September 22-24, 2023. The 108 full papers presented were selected from 270 submissions and focus on theory and application of hybrid information processing technology for smarter and more effective research and application. The theme of ADHIP 2022 was Hybrid Information Processing in Meta World. The papers are named in topical sections as follows: wireless communication for social information processing, artificial intelligence technology; Mobile education, mobile monitoring, behavior understanding and object tracking; wireless networks for social information processing, image information processing; mobile monitoring, civilian audio and acoustic signal processing.

This contributed volume focuses on the Neotropical region, and explores the environmental, ecological and socio-economic components that facilitate the emergence of zoonotic diseases. This book highlights the primary ecological, environmental, social, and economic variables associated with the risk of maintenance, transmission, and dissemination of emerging, re-emerging, and neglected infectious diseases, in which Neotropical vertebrates are involved. It compiles up-to-date knowledge and research for the neotropical region, as well as discusses the current needs of knowledge improvement. The chapters include various examples of the cycles of infectious diseases, all with world-wide relevance where neotropical wild vertebrates are affected or involved.

The book is structured into thirteen chapters; each comes with its own dedicated contributions and future research directions. Chapter 1 introduces IoT and the use of Edge computing, particularly cloud computing, and mobile edge computing. This chapter also mentions the use of edge computing in various real-time applications such as healthcare, manufacturing, agriculture, and transportation. Chapter 2 motivates mathematical modeling for federated learning systems with respect to IoT and its applications. Further Chapter 3 extends the discussion of federated learning for IoT, which has emerged as a privacy-preserving distributed machine learning approach. Chapter 4 provides various machine learning techniques in Industrial IoT to deliver rapid and accurate data analysis, essential for enhancing production quality, sustainability, and safety. Chapter discusses the potential role of data-driven technologies, such as Artificial Intelligence, Machine Learning, and Deep Learning, focuses on their integration with IoT communication technologies. Chapter 6 presents the requirements and challenges to realize IoT deployments in smart cities, including sensing infrastructure, Artificial Intelligence, computing platforms, and enabling communications technologies such as 5G networks. To highlight these challenges in practice, the chapter also presents a real-world case study of a city-scale deployment of IoT air quality monitoring within Helsinki city. Chapter 7 uses digital twins within smart cities to enhance economic progress and facilitate prompt decision-making regarding situational awareness. Chapter 8 provides insights into using Multi-Objective reinforcement learning in future IoT networks, especially for an efficient decision-making system. Chapter 9 offers a comprehensive review of intelligent inference approaches, with a specific emphasis on reducing inference time and minimizing transmitted bandwidth between IoT devices and the cloud. Chapter 10 summarizes the applications of deep learning models in various IoT fields. This chapter also presents an in-depth study of these techniques to examine new horizons of applications of deep learning models in different areas of IoT. Chapter 11 explores the integration of Quantum Key Distribution (QKD) into IoT systems. It delves into the potential benefits, challenges, and practical considerations of incorporating QKD into IoT networks. In chapter 12, a comprehensive overview regarding the current state of quantum IoT in the context of smart healthcare is presented, along with its applications, benefits, challenges, and prospects for the future. Chapter 13 proposes a blockchain-based architecture for securing and managing IoT data in intelligent transport systems, offering advantages like immutability, decentralization, and enhanced security.