Böcker utgivna av Springer International Publishing AG

Over the last several decades, cannabis has been increasingly accepted as a legitimate therapeutic option by the public. Healthcare professionals, most of whom did not learn about cannabis, cannabinoids, or the endocannabinoid system in school, face the challenge of understanding the potential benefits, risks, and role of cannabis-based medicine in patient care. Cannabis Science and Therapeutics: The Essential Guide for Clinicians provides evidence-based information and practical guidance to empower clinicians to navigate the complex scientific and regulatory landscape of cannabis-based medicine.Cannabis Science and Therapeutics begins with an overview of the endocannabinoid system and cannabinoid pharmacology-- the scientific foundation for clinical applications of cannabis-based medicine. It also clarifies what the evidence really says about cannabis use for different medical conditions and how clinicians can interpret clinical and pre-clinical data to make decisions with patients about safe and effective use of cannabis-based medicine. This book includes the most up-to-date guidance on patient selection, administration, dosing, safety monitoring, drug interactions, and harm reduction strategies. A review of public health considerations provides readers with information necessary to engage patients, colleagues, policymakers, and other stakeholders in robust and balanced dialogue about the role of cannabis-based medicine in society. The book briefly overviews federal and state cannabis regulations, with a focus on implications for research. This book is intended both for readers with limited exposure to cannabis-based medicine and those already familiar with it who are seeking a comprehensive resource.

Fidelio Tata is a senior financial markets professional with some 30 years of leadership experience in derivatives marketing, institutional sales, risk management, and global fixed income research. He is a veteran of top Wall Street firms including JPMorgan, Credit Suisse, HSBC, and Societe Generale. His extensive teaching experience includes serving as a frequent guest speaker at conferences and training central banks in asset-liability management for more than 10 years. He is currently a professor of Finance at the International School of Management in Germany. Previously, he held positions at the Berlin School of Economics and Law in Germany, the University of St. Gallen in Switzerland, the London School of Economics and Political Science in the United Kingdom, New York University's Stern School of Business, and Harvard University in the United States.This book provides a practical and intuitive view of how European banks manage asset-liability mismatch risk from both a practitioner and supervisory perspective. After a prolonged period of zero interest rate policy (ZIRP) by central banks around the world, the period from Q1 2022 to Q2 2023 has seen the largest, fastest, and most widespread increase in interest rates since the 1980s, with 1-year euro yields rising by more than 400 bp. The recent market turmoil has exposed the increased vulnerability of banks, particularly those with significant exposures to long-term, fixed income assets, fueled by shorter-term, less stable funding. This challenging interest rate environment reinforces the strategic importance of asset-liability management (ALM) for banks. Indeed, a bank's survival now depends more than ever on prudent ALM. This book introduces the most common components of interest rate risk management within a bank's asset-liability management framework, including the concepts of economic value of equity (EVE), net interest income (NII), funds transfer pricing (FTP), and the replicating model. In addition to bridging the gap between widely used general interest rate risk management techniques in the fixed income area and what is best practice in European banks, the book also provides an update on recent changes in the regulatory framework for European banks' management of interest rate risk in the banking book (IRRBB), including new EBA guidelines. It also covers the latest developments in interest rate risk management, such as rapidly changing interest rates and modeling bank customers' behavior.“Risk management is not just a technique, it is an art. The book connects the dots between established theory, current practice, and emerging regulation. The reader becomes both an engineer and an artist of asset liability management.”¿Joachim Wuermeling, former Executive Board Member, Deutsche Bundesbank“This book skillfully combines established ALM principles with today’s regulatory changes. It provides clear, practical insights into managing interest rate risk, making it an essential resource for both experienced professionals and those new to bank risk management.”¿Pascal Vogt, Partner & Director, Boston Consulting Group

Unlock the intricate language of signals and systems with this in-depth exploration of Fourier and Laplace transforms. Designed for advanced undergraduates, graduate students, and professionals in engineering, physics, and applied mathematics, this book unravels the foundations of signal processing with a rigorous yet engaging approach.Beginning with the fundamentals and building to advanced topics, each chapter guides you through the Fourier series, Fourier, and Laplace transform and into the realms of discrete Fourier and Z transforms, multi-dimensional analysis, and applications of the Fourier Transform in solving PDE, ODE, and Integral equations. The text brings mathematical theory to life through real-world applications in signal synthesis, systems engineering, and differential equations, making complex topics accessible and inspiring.With its unique blend of historical insights, practical applications, and intuitive explanations, this book offers a comprehensive yet approachable journey into the world of transforms. Whether you're a student building your foundation or a professional seeking to deepen your expertise, this book invites you to discover the elegance and utility of transforms in a way that bridges theory with the demands of modern engineering and science.

This book gives an in-depth and up-to-date insight into China's economy from a domestic as well an international perspective. The book covers the reform trajectory and performance of China's economy since Deng Xiaoping kicked-off the reform and opening-up policy in 1978 until the current challenges and economic policies under Xi Jinping including the integration in the world economy.The analysis is based on empirical evidence and respective data. This enables the reader to take an unprejudiced look on China's political economy. The book applies fundamental economic concepts in a non-technical way to the case of China and processes the main relevant scientific and applied research to the topic. Readers gain an in-depth understanding of the second largest global economy that will shape the twenty-first century-its past, present, and future.The book is structured into three concise chapters: the reform trajectory of China's economy since 1978, the domestic and international fundamentals of China's economy today, and the long-term challenges and respective economic policies for the future. One of the key insights of the book is that China's economy and its economic model are at a critical tipping point, after a long period of successful development from a low to a middle-income country. This includes the need for a new growth model and a renewed integration into the world economy. Both challenges pose systemic risks that could seriously impede the future development of China and its economy if not carefully managed.

This book explores the critical issue of cardiovascular prevention (CVP) in socioeconomically disadvantaged populations, highlighting the stark disparities in access to basic health-preserving tools. Despite significant technological advances in CVP over the past decades, many individuals in low-income countries and deprived segments of high-income nations still lack access to essential care for conditions like diabetes, hypertension, and high cholesterol. This volume sheds light on the prevalence and outcomes of major cardiovascular risk factors-such as obesity, heart failure, and stroke-in these underserved communities and explores potential remedial measures.Contributors from diverse regions bring their extensive research expertise to examine the current status of CVP globally. The chapters cover a range of topics, including the prevalence of risk factors and suggestions for improving cardiovascular health in resource-limited settings. Unlike other publications that focus on cutting-edge developments like polygenic risk scores and new therapies, this book emphasizes fundamental CVP tools that can be applied to the largest segments of the world's population. Readers will gain insights into effective strategies for weight control, healthy diets, smoking cessation, and more.This comprehensive resource is invaluable for students and professionals across various fields, including primary care providers, cardiologists, public health experts, social workers, and economists. It is also suitable for graduate and undergraduate readers interested in public health and healthcare disparities. To ensure broad accessibility, an open access option is available for those with limited financial resources.

The inertia tensor is presented as a key to understanding motion ranging from boomerangs to gyroscopes. Chains of transformations unravel the motion of a robot arm.To help the reader visualise motion, ranging from unbalanced rotors to vibrating systems with multiple modes and damping, there are abundant simulation examples on a linked website.

This book provides a comprehensive introduction to statistical approaches for the assessment of complex environmental exposures, such as pollutants and chemical mixtures, within the exposome framework. Environmental mixtures are defined as groups of 3 or more chemical/pollutants, simultaneously present in nature, consumer products, or in the human body. Assessing the health effects of environmental mixtures poses several methodological challenges due to the high levels of correlation that are often present between environmental chemicals, and by the need of incorporating flexible non-additive and non-linear effects that can capture and describe the complex mechanisms by which environmental exposure contribute to diseases. Several statistical approaches are proposed and discussed, including the application of regression-based approaches (e.g. penalized regression such as LASSO and elastic net, or Bayesian variable selection) for environmental exposures, and novel methods (e.g. weighted quantile sum regression, or Bayesian Kernel Machine Regression) that account for specific complexities of environmental exposures. More recent efforts included are the application of machine learning approaches (e.g. gradient boosting) for environmental data. Statistical Methods for Environmental Mixtures describes the statistical challenges that commonly arise when dealing with environmental exposures and provides an introduction to different statistical approaches for such data. Over the last decade, substantial efforts have been made to transition the statistical framework for environmental exposures in epidemiologic studies from a single-chemical/pollutant to a multi-chemicals/pollutants approach. This book provides a comprehensive introduction to this modern multi-chemicals/pollutants framework. Emphasis is given to interpretability, discussing issues with causal interpretation and translation of scientific finding when applying the discussed statistical approaches for complex environmental exposures.The target audience includes researchers in environmental epidemiology and applied statisticians working in the field. As such, while rigorously presenting the statistical methodologies, the book keeps an applied focus, discussing those settings where each method is appropriate for use and for which question it can be applied, providing examples of accurate presentation and interpretation from the literature, including a basic introduction to R packages and tutorials, as well as discussing assumptions and practical challenges when applying these techniques on real data.

This textbook presents basic knowledge and essential toolsets needed for people who want to step into artificial intelligence (AI). The book is especially suitable for those college students, graduate students, instructors, and IT hobbyists who have an engineering mindset. That is, it serves the idea of getting the job done quickly and neatly with an adequate understanding of why and how. It is designed to allow one to obtain a big picture for both AI and essential AI topics within the shortest amount of time. Designed for a typical undergraduate, graduate, or dual-listed course with a semester-based calendar; Puts theory in context, so readers gain knowledge about the most essential concepts and algorithms; Covers essential terms, algorithms, and useful tools for learning and performing contemporary AI.Extra information is available at AI-engineer.org

This book offers an innovative exploration of energy justice, from concept to action, highlighting its role as a crucial tool for navigating the complexities of a just and sustainable energy transition. The book is timely and as the global energy transition rapidly progresses, it will serve as an essential resource, offering practical guidance to advancing a just and sustainable energy future. The perspectives presented in this book are presented by early career energy justice scholars from around the world, each highlighting and proposing ways to navigate the transition. The discussion focuses on three key themes: the integration and repurposing of energy infrastructures with the use of technology, the need for affordable and accessible energy services, and the promotion of responsible governance through effective policymaking and corporate social responsibility. At the heart of this book is the presentation of the 'Toolkit to Achieve the Just Transition using the Energy Justice Framework'. Alicia Phillips is an attorney-at-law and a PhD Researcher at the Université de Pau et des Pays de l'Adour (UPPA), TRansitions Energétiques et Environnementales Laboratory (TREE) & the CNRS- France.Laura Kaschny is a Postdoctoral Researcher in Energy Law at the Erasmus School of Law at Erasmus University Rotterdam, the Netherlands.