Derived from the renowned multi-volume International Encyclopaedia of Laws, this book provides ready access to how the legal dimension of prevention against harm and loss allocation is treated in Germany. This traditional branch of law not only tackles questions which concern every lawyer, whatever his legal expertise, but also concerns each person’s most fundamental rights on a worldwide scale. Following a general introduction that probes the distinction between tort and crime and the relationship between tort and contract, the monograph describes how the concepts of fault and unlawfulness, and of duty of care and negligence, are dealt with in both the legislature and the courts. The book then proceeds to cover specific cases of liability, such as professional liability, liability of public bodies, abuse of rights, injury to reputation and privacy, vicarious liability, liability of parents and teachers, liability for handicapped persons, product liability, environmental liability, and liability connected with road and traffic accidents. Principles of causation, grounds of justification, limitations on recovery, assessment of damages and compensation, and the role of private insurance and social security are all closely considered. Its succinct yet scholarly nature, as well as the practical quality of the information it provides, make this book a valuable resource for lawyers in Germany. Academics and researchers will also welcome this very useful guide, and will appreciate its value not only as a contribution to comparative law but also as a stimulus to harmonization of the rules on tort.
This book is the first to provide a cognitive analysis of the function of biological/medical metaphors in National Socialist racist ideology and their background in historical traditions of Western political theory. Its main arguments are that the metaphor of the German nation as a body that needed to be rescued from a deadly poison must be viewed as the conceptual basis rather than a mere propagandistic by-product of Nazi genocidal policies culminating in the Holocaust, and that this metaphor is closely related to the more general metaphor complex of the nation as a human body/person, which is deeply ingrained in Western political thought. The cognitive approach is crucial to understanding the nature and the origins of this metaphor complex because it goes beyond the rhetorical level by analyzing the ideological and practical implications of the conceptual mapping body-state in detail. It provides an innovative perspective on the problem of how the Nazis managed to ‘revive’ a clichéd metaphor tradition to the point where it became a decisive factor in European and world history. Musolff reveals how such a perspective allows us to explain why the body-state metaphor continues to be attractive for use in contemporary political theories.
The book gives a comprehensive review of the present state-of-the-art in ZnO R+D, including growth, doping, lattice dynamics, electric magnetic and optical properties. The emphasis is on the electric and optical properties, because this is the area where novel applications may be expected with highest promise. The book highlights not only the most recent results but gives both an overview of past research and of the present status -- not avoiding critical and controversial discussions of various aspects such as bank symmetries and laser processes. Intended to have long-lasting impact on ZnO R+D, this monograph addresses (post-)graduate students but also advanced scientists, who want to embark on ZnO research or are already involved, the present state of the art and assists them in avoiding duplication of old results (or mistakes).
Using sources from classical to modern that broach the phenomenon of uncertainty and its relation to risk, this book creates a novel approach to the recognized but theoretically often unattended issue of uncertainty. Andreas Klinke develops a new, general theory of uncertainty that provides a taxonomy of categories which are deduced from a critical inventory in philosophy, social and natural sciences, and risk research. Comprising six parts, the philosophical grounding of uncertainty sets the stage for the following philosophical and social scientific accounts and explanation of four distinctive guises of uncertainty that form a taxonomic notion and rationale: ontological, epistemological, linguistic-communicative, and teleological uncertainty. The theoretical-conceptual rumination provides a complex, differentiated view of the anatomy of uncertainty and an understanding that can be used in further theoretical and empirical research, as well as socio-political practice. The latter is delineated in the final part addressing the societal domestication of uncertainty. This book will be of great interest to scholars and students in philosophy, social and natural sciences, risk research, as well as inter- and transdisciplinary science fields.
Cryptographic Primitives in Blockchain Technology provides an introduction to the mathematical and cryptographic concepts behind blockchain technologies and shows how they are applied in blockchain-based systems.
This book constructs a rigorous framework for analysing selected phenomena in evolutionary theory of populations arising due to the combined effects of migration, selection and mutation in a spatial stochastic population model, namely the evolution towards fitter and fitter types through punctuated equilibria. The discussion is based on a number of new methods, in particular multiple scale analysis, nonlinear Markov processes and their entrance laws, atomic measure-valued evolutions and new forms of duality (for state-dependent mutation and multitype selection) which are used to prove ergodic theorems in this context and are applicable for many other questions and renormalization analysis for a variety of phenomena (stasis, punctuated equilibrium, failure of naive branching approximations, biodiversity) which occur due to the combination of rare mutation, mutation, resampling, migration and selection and make it necessary to mathematically bridge the gap (in the limit) between time and space scales.
Annotation Proceedings of a Rhine-LUCIFS workshop held in Dusseldorf, Germany, in May 2001. Provides a review on concepts for fluvial system research and for modeling the components of large river basins. Reviews the Rhine river system and gives case studies to demonstrate the types of data that can be extracted from sedimentary archives.
This Element investigates the relationship between the narcotics industry and politics and assesses how it influences domestic political dynamics, including economic development prospects in Latin America. It argues that links between criminal organizations, politicians, and state agents give rise to criminal politics (i.e., the interrelated activity of politicians, organized crime actors, and state agents in pursuing their respective agendas and goals). Criminal politics is upending how countries function politically and, consequently, impacting the prospects and nature of their social and economic development. The Element claims that diverse manifestations of criminal politics arise depending on how different phases of drug-trafficking activity (e.g., production, trafficking, and money laundering) interact with countries' distinct politico-institutional endowments. The argument is probed through the systematic examination of four cases that have received scant attention in the specialized literature: Chile,Paraguay, Peru, and Uruguay.
What does the durability of political institutions have to do with how actors form knowledge about them? Andreas Glaeser investigates this question in the context of socialist East Germany's unexpected self-dissolution in 1989 -- Publisher description.
This book introduces the main topics of modern numerical analysis: sequence of linear equations, error analysis, least squares, nonlinear systems, symmetric eigenvalue problems, three-term recursions, interpolation and approximation, large systems and numerical integrations. The presentation draws on geometrical intuition wherever appropriate and is supported by a large number of illustrations, exercises, and examples.
Magnetic Small-Angle Neutron Scattering provides the first extensive treatment of magnetic small-angle neutron scattering (SANS). The theoretical background required to compute magnetic SANS cross sections and correlation functions related to long-wavelength magnetization structures is laidout. The concepts are scrutinized based on the discussion of experimental neutron data. Regarding prior background knowledge, some familiarity with the basic magnetic interactions and phenomena as well as scattering theory is desired.Besides exposing the different origins of magnetic SANS, and furnishing the basics of the magnetic SANS technique in early chapters, a large part of the book is devoted to a comprehensive treatment of the continuum theory of micromagnetics, as it is relevant for the study of the elastic magneticSANS cross section. Analytical expressions for the magnetization Fourier components allow to highlight the essential features of magnetic SANS and to analyze experimental data both in reciprocal, as well as in real space. Later chapters provide an overview on the magnetic SANS of nanoparticles andso-called complex systems (e.g., ferrofluids, magnetic steels, spin glasses and amorphous magnets). It is this subfield where major progress is expected to be made in the coming years, mainly via the increased usage of numerical micromagnetic simulations (Chapter 7), which is a very promisingapproach for the understanding of the magnetic SANS from systems exhibiting nanoscale spin inhomogeneity.
Over the last century, energy storage systems (ESSs) have continued to evolve and adapt to changing energy requirements and technological advances. Energy Storage in Power Systems describes the essential principles needed to understand the role of ESSs in modern electrical power systems, highlighting their application for the grid integration of renewable-based generation. Key features: Defines the basis of electrical power systems, characterized by a high and increasing penetration of renewable-based generation. Describes the fundamentals, main characteristics and components of energy storage technologies, with an emphasis on electrical energy storage types. Contains real examples depicting the application of energy storage systems in the power system. Features case studies with and without solutions on modelling, simulation and optimization techniques. Although primarily targeted at researchers and senior graduate students, Energy Storage in Power Systems is also highly useful to scientists and engineers wanting to gain an introduction to the field of energy storage and more specifically its application to modern power systems.
This book presents methods for estimating optical flow and scene flow motion with high accuracy, focusing on the practical application of these methods in camera-based driver assistance systems. Clearly and logically structured, the book builds from basic themes to more advanced concepts, culminating in the development of a novel, accurate and robust optic flow method. Features: reviews the major advances in motion estimation and motion analysis, and the latest progress of dense optical flow algorithms; investigates the use of residual images for optical flow; examines methods for deriving motion from stereo image sequences; analyses the error characteristics for motion variables, and derives scene flow metrics for movement likelihood and velocity; introduces a framework for scene flow-based moving object detection and segmentation; includes Appendices on data terms and quadratic optimization, and scene flow implementation using Euler-Lagrange equations, in addition to a helpful Glossary.
A comprehensive introduction to various numerical methods used in computational finance today Quantitative skills are a prerequisite for anyone working in finance or beginning a career in the field, as well as risk managers. A thorough grounding in numerical methods is necessary, as is the ability to assess their quality, advantages, and limitations. This book offers a thorough introduction to each method, revealing the numerical traps that practitioners frequently fall into. Each method is referenced with practical, real-world examples in the areas of valuation, risk analysis, and calibration of specific financial instruments and models. It features a strong emphasis on robust schemes for the numerical treatment of problems within computational finance. Methods covered include PDE/PIDE using finite differences or finite elements, fast and stable solvers for sparse grid systems, stabilization and regularization techniques for inverse problems resulting from the calibration of financial models to market data, Monte Carlo and Quasi Monte Carlo techniques for simulating high dimensional systems, and local and global optimization tools to solve the minimization problem.
Career and student counselling is a complex task that requires a high level of professionalism. This book introduces basic counselling skills in vocational and educational guidance. It is based on important scientific models. The book presents internationally recognized counselling approaches which include among others micro counselling, solution focused brief counselling and competence oriented counselling. It also addresses possibilities for the use of artificial intelligence. The book offers direct guidance for the consulting practice and supports competence development through case studies, tasks and didactically designed exercises. It is suitable as a guide for the training of consulting professionals in the field of career guidance.
The history and development of vision and ocular medicine over time always occurred within a framework of many other cultural events. Thus, it is important to understand these factors before one can appreciate how vision and ocular medicine were viewed and practiced at a particular time and in a particular region, and how both slowly progressed over the centuries. Ocular medicine is, and always has been, a part of medicine, and is influenced by its theoretical and practical principles, as well as its diagnostic and therapeutic practices. If the ancient people thought that diseases were caused b.
This textbook teaches underlying mathematics, terminology, and programmatic skills to implement, test, and apply machine learning to real-world problems. Exercises with field data, including well logs and weather measurements, prepare and encourage readers to begin using software to validate results and program their own creative data solutions. As the size and complexity of data soars exponentially, machine learning (ML) has gained prominence in applications in geoscience and related fields. ML-powered technology increasingly rivals or surpasses human performance and fuels a large range of leading-edge research. This textbook teaches the underlying mathematics, terminology, and programmatic skills to implement, test, and apply ML to real-world problems. It builds the mathematical pillars required to thoroughly comprehend and master modern ML concepts and translates the newly gained mathematical understanding into better applied data science. Exercises with raw field data, including well logs and weather measurements, prepare and encourage the reader to begin using software to validate results and program their own creative data solutions. Most importantly, the reader always keeps an eye on the ML’s imperfect data situations as encountered in the real world.
Andreas Loewe and Katherine Firth elucidate Luther’s theory and practice of the arts to reach audiences and convince them of his Reformation message using a range of strategies, including music, images and drama.
This book reviews the algorithms for processing geometric data, with a practical focus on important techniques not covered by traditional courses on computer vision and computer graphics. Features: presents an overview of the underlying mathematical theory, covering vector spaces, metric space, affine spaces, differential geometry, and finite difference methods for derivatives and differential equations; reviews geometry representations, including polygonal meshes, splines, and subdivision surfaces; examines techniques for computing curvature from polygonal meshes; describes algorithms for mesh smoothing, mesh parametrization, and mesh optimization and simplification; discusses point location databases and convex hulls of point sets; investigates the reconstruction of triangle meshes from point clouds, including methods for registration of point clouds and surface reconstruction; provides additional material at a supplementary website; includes self-study exercises throughout the text.
Thank you for visiting our website. Would you like to provide feedback on how we could improve your experience?
This site does not use any third party cookies with one exception — it uses cookies from Google to deliver its services and to analyze traffic.Learn More.