This book examines the most frequent form of Jew-hatred: Israel-related antisemitism. After defining this hate ideology in its various manifestations and the role the internet plays in it, the author explores the question of how Israel-related antisemitism is communicated and understood through the language used by readers in below-the-line comments. Drawing on a corpus of over 6,000 comments from traditionally left-wing news outlets The Guardian and Die Zeit, the author examines both implicit and explicit comparisons made between modern-day Israel and both colonial Britain and Nazi Germany. His analyses are placed within the context of resurgent neo-nationalism in both countries, and it is argued that these instances of antisemitism perform a multi-faceted role in absolving guilt, re-writing history, and reinforcing in-group status. This book will be of interest not only to linguistics scholars, but also to academics in fields such as internet studies, Jewish studies, hate speech and antisemitism.
This book examines the most frequent form of Jew-hatred: Israel-related antisemitism. After defining this hate ideology in its various manifestations and the role the internet plays in it, the author explores the question of how Israel-related antisemitism is communicated and understood through the language used by readers in below-the-line comments. Drawing on a corpus of over 6,000 comments from traditionally left-wing news outlets The Guardian and Die Zeit, the author examines both implicit and explicit comparisons made between modern-day Israel and both colonial Britain and Nazi Germany. His analyses are placed within the context of resurgent neo-nationalism in both countries, and it is argued that these instances of antisemitism perform a multi-faceted role in absolving guilt, re-writing history, and reinforcing in-group status. This book will be of interest not only to linguistics scholars, but also to academics in fields such as internet studies, Jewish studies, hate speech and antisemitism.
The spectral geometry of infinite graphs deals with three major themes and their interplay: the spectral theory of the Laplacian, the geometry of the underlying graph, and the heat flow with its probabilistic aspects. In this book, all three themes are brought together coherently under the perspective of Dirichlet forms, providing a powerful and unified approach. The book gives a complete account of key topics of infinite graphs, such as essential self-adjointness, Markov uniqueness, spectral estimates, recurrence, and stochastic completeness. A major feature of the book is the use of intrinsic metrics to capture the geometry of graphs. As for manifolds, Dirichlet forms in the graph setting offer a structural understanding of the interaction between spectral theory, geometry and probability. For graphs, however, the presentation is much more accessible and inviting thanks to the discreteness of the underlying space, laying bare the main concepts while preserving the deep insights ofthe manifold case. Graphs and Discrete Dirichlet Spaces offers a comprehensive treatment of the spectral geometry of graphs, from the very basics to deep and thorough explorations of advanced topics. With modest prerequisites, the book can serve as a basis for a number of topics courses, starting at the undergraduate level.
This open access book suggests new ways of reading nineteenth-century African American literature environmentally. Combining insights from ecocriticism, African American studies, and Foucauldian theory, Matthias Klestil examines forms of environmental knowledge in African American writing ranging from antebellum slave narratives and pamphlets to Charlotte Forten’s journals, Booker T. Washington’s autobiographies, and Charles W. Chesnutt’s short fiction. The volume highlights how literary forms of environmental knowledge in the African American tradition were shaped by the histories of slavery and race, mainstream environmental writing traditions, and African American forms of expression and intertextuality. Turning to the Underground Railroad, debates over education and home-building, and the aesthetics of the pastoral and the georgic, Environmental Knowledge, Race, and African American Literature provides an original perspective on the African American ecoliterary traditionthat uncovers new facets of canonical and understudied texts and offers new directions for ecocriticism and African American studies.
This open access book suggests new ways of reading nineteenth-century African American literature environmentally. Combining insights from ecocriticism, African American studies, and Foucauldian theory, Matthias Klestil examines forms of environmental knowledge in African American writing ranging from antebellum slave narratives and pamphlets to Charlotte Forten's journals, Booker T. Washington's autobiographies, and Charles W. Chesnutt's short fiction. The volume highlights how literary forms of environmental knowledge in the African American tradition were shaped by the histories of slavery and race, mainstream environmental writing traditions, and African American forms of expression and intertextuality. Turning to the Underground Railroad, debates over education and home-building, and the aesthetics of the pastoral and the georgic, Environmental Knowledge, Race, and African American Literature provides an original perspective on the African American ecoliterary tradition that uncovers new facets of canonical and understudied texts and offers new directions for ecocriticism and African American studies.
In this book, a precise treatment of the experimental characterization of advanced composite materials using Digital Image Correlation (DIC) is presented. The text explains test methods, testing setup with 2D- and stereo-DIC, specimen preparation and patterning, testing analysis and data reduction schemes to determine and to compare mechanical properties, such as modulus, strength and fracture toughness of advanced composite materials. Sensitivity and uncertainty studies on the DIC calculated data and mechanical properties for a detailed engineering-based understanding are covered instead of idealized theories and sugarcoated results. The book provides students, instructors, researchers and engineers in industrial or government institutions, and practitioners working in the field of experimental/applied structural mechanics of materials a myriad of color figures from DIC measurements for better explanation, datasets of material properties serving as input parametersfor analytical modelling, raw data and computer codes for data reduction, illustrative graphs for teaching purposes, practice exercises with solutions provided online and extensive references to the literature at the end of each stand-alone chapter.
In this book, a precise treatment of the experimental characterization of advanced composite materials using Digital Image Correlation (DIC) is presented. The text explains test methods, testing setup with 2D- and stereo-DIC, specimen preparation and patterning, testing analysis and data reduction schemes to determine and to compare mechanical properties, such as modulus, strength and fracture toughness of advanced composite materials. Sensitivity and uncertainty studies on the DIC calculated data and mechanical properties for a detailed engineering-based understanding are covered instead of idealized theories and sugarcoated results. The book provides students, instructors, researchers and engineers in industrial or government institutions, and practitioners working in the field of experimental/applied structural mechanics of materials a myriad of color figures from DIC measurements for better explanation, datasets of material properties serving as input parametersfor analytical modelling, raw data and computer codes for data reduction, illustrative graphs for teaching purposes, practice exercises with solutions provided online and extensive references to the literature at the end of each stand-alone chapter.
Large-scale data analytics using machine learning (ML) underpins many modern data-driven applications. ML systems provide means of specifying and executing these ML workloads in an efficient and scalable manner. Data management is at the heart of many ML systems due to data-driven application characteristics, data-centric workload characteristics, and system architectures inspired by classical data management techniques. In this book, we follow this data-centric view of ML systems and aim to provide a comprehensive overview of data management in ML systems for the end-to-end data science or ML lifecycle. We review multiple interconnected lines of work: (1) ML support in database (DB) systems, (2) DB-inspired ML systems, and (3) ML lifecycle systems. Covered topics include: in-database analytics via query generation and user-defined functions, factorized and statistical-relational learning; optimizing compilers for ML workloads; execution strategies and hardware accelerators;data access methods such as compression, partitioning and indexing; resource elasticity and cloud markets; as well as systems for data preparation for ML, model selection, model management, model debugging, and model serving. Given the rapidly evolving field, we strive for a balance between an up-to-date survey of ML systems, an overview of the underlying concepts and techniques, as well as pointers to open research questions. Hence, this book might serve as a starting point for both systems researchers and developers.
The novel finite element formulations fall into the category of geometrically exact Kirchhoff-Love beams. A prominent characteristic of this category is that the absence of shear deformation is strongly enforced by removing two degrees of freedom. Further, the corresponding beam theories exhibit not only translational but also rotational degrees of freedom and their configurations thus form a non-additive and non-commutative space. Sophisticated interpolation schemes are required that need to be tested not only for locking, spatial convergence behavior, and energy conservation, but also for observer invariance and path-independence. For the three novel beam element formulations all these properties are analytically and numerically studied and confirmed, if applicable. Two different rotation parameterization strategies are employed based on the well-known geodesic interpolation used in many Simo-Reissner beams and the lesser known split into the so-called \textit{smallest rotation} and a torsional part. Application of the former parameterization results in a mixed finite element formulation intrinsically free of locking phenomena. Additionally, the first geometrically exact Kirchhoff-Love beam element is presented, which strongly enforces inextensibility by removing another degree of freedom. Furthermore, the numerical efficiency of the new beam formulations is compared to other beam elements that allow for or suppress shear deformation. When modeling very slender beams, the new elements offer distinct numerical advantages.Standard molecular dynamics simulations, which are commonly used to study polymers, suffer from a lack of a careful mathematical basis and the use of an expensive explicit time integration scheme. To circumvent these shortcomings and to be able to simulate stretching experiments on relevant time scales, the problem is described by a stochastic partial differential equation, which can be solved using the finite element method with a backward Euler temporal discretization. In detail, the polymer is represented by a Kirchhoff-Love beam with a linear elastic constitutive model. Inertial and electrostatic forces are neglected. It is deformed by a distributed load mimicking collisions with molecules of the surrounding fluid. Naturally, this load heavily fluctuates over time and space and mean values need to be computed in a Monte Carlo manner. To vastly speed up the fitting process to experimental data in a Bayesian framework, a surrogate model based on a Gaussian process is set up, which directly computes the mean values for given material parameters. The uncertainties and correlations of the material parameters are studied and compared to the literature.
The novel finite element formulations fall into the category of geometrically exact Kirchhoff-Love beams. A prominent characteristic of this category is that the absence of shear deformation is strongly enforced by removing two degrees of freedom. Further, the corresponding beam theories exhibit not only translational but also rotational degrees of freedom and their configurations thus form a non-additive and non-commutative space. Sophisticated interpolation schemes are required that need to be tested not only for locking, spatial convergence behavior, and energy conservation, but also for observer invariance and path-independence. For the three novel beam element formulations all these properties are analytically and numerically studied and confirmed, if applicable. Two different rotation parameterization strategies are employed based on the well-known geodesic interpolation used in many Simo-Reissner beams and the lesser known split into the so-called \textit{smallest rotation} and a torsional part. Application of the former parameterization results in a mixed finite element formulation intrinsically free of locking phenomena. Additionally, the first geometrically exact Kirchhoff-Love beam element is presented, which strongly enforces inextensibility by removing another degree of freedom. Furthermore, the numerical efficiency of the new beam formulations is compared to other beam elements that allow for or suppress shear deformation. When modeling very slender beams, the new elements offer distinct numerical advantages.Standard molecular dynamics simulations, which are commonly used to study polymers, suffer from a lack of a careful mathematical basis and the use of an expensive explicit time integration scheme. To circumvent these shortcomings and to be able to simulate stretching experiments on relevant time scales, the problem is described by a stochastic partial differential equation, which can be solved using the finite element method with a backward Euler temporal discretization. In detail, the polymer is represented by a Kirchhoff-Love beam with a linear elastic constitutive model. Inertial and electrostatic forces are neglected. It is deformed by a distributed load mimicking collisions with molecules of the surrounding fluid. Naturally, this load heavily fluctuates over time and space and mean values need to be computed in a Monte Carlo manner. To vastly speed up the fitting process to experimental data in a Bayesian framework, a surrogate model based on a Gaussian process is set up, which directly computes the mean values for given material parameters. The uncertainties and correlations of the material parameters are studied and compared to the literature.
This handbook supports the identification of inappropriate work design in manual materials handling and thus the prevention of overloading the body and of the development of health disorders. The approach at hand, The Dortmund Lumbar Load Atlas, is focussed exclusively on biomechanical aspects of loading, overload criteria and signs of overloading in the form of verifiable low-back diseases due its strikingly frequently affectedness. Manual materials handling is understood to be the holding, lifting or lowering, pulling or pushing as well as carrying of load objects and thus the application of forces mostly with one or both hands on the item handled. Due to the biomechanical similarity, special handling tasks are also addressed, such as shoveling bulk material, transporting goods via wheelbarrow and moving people manually in the care sector. The book aims to promote interest in biomechanical approaches and provides information to all persons involved in the design, evaluation and redesign of manual materials handling, e.g. ergonomists, occupational physicians, orthopaedists, employers or researchers, lecturers and students. This handbook enables analysis of manual materials handlings regarding potential lumbar overload and contains the following:a comprehensive collection of data on lumbar load in typical manual materials handling activities—a load register on interbranch activities,synopses of previously analysed biomechanically challenging occupational activities—a load register on branch-specific activities,explanations of the methodological approach to predicting moments and forces as well as their components in relation to the lumbar spine via biomechanical modelling andcriteria for the evaluation of load data with regard to potential lumbar overloading during single operations, working shifts and the entire occupational life. Thenew recommendations on maximum daily exposure for lifelong work for both men and women are bridging the former gap of biomechanically justified action frequency limits and now offer the possibility of a completely biomechanical path for risk assessment of manual materials handling. The book provides hence a serious contribution to the objectification of lumbar load and load-bearing capacity aiming at an ergonomic work design of manual materials handling for short- as well as long-term exposures.
This handbook supports the identification of inappropriate work design in manual materials handling and thus the prevention of overloading the body and of the development of health disorders. The approach at hand, The Dortmund Lumbar Load Atlas, is focussed exclusively on biomechanical aspects of loading, overload criteria and signs of overloading in the form of verifiable low-back diseases due its strikingly frequently affectedness. Manual materials handling is understood to be the holding, lifting or lowering, pulling or pushing as well as carrying of load objects and thus the application of forces mostly with one or both hands on the item handled. Due to the biomechanical similarity, special handling tasks are also addressed, such as shoveling bulk material, transporting goods via wheelbarrow and moving people manually in the care sector. The book aims to promote interest in biomechanical approaches and provides information to all persons involved in the design, evaluation and redesign of manual materials handling, e.g. ergonomists, occupational physicians, orthopaedists, employers or researchers, lecturers and students. This handbook enables analysis of manual materials handlings regarding potential lumbar overload and contains the following:a comprehensive collection of data on lumbar load in typical manual materials handling activities—a load register on interbranch activities,synopses of previously analysed biomechanically challenging occupational activities—a load register on branch-specific activities,explanations of the methodological approach to predicting moments and forces as well as their components in relation to the lumbar spine via biomechanical modelling andcriteria for the evaluation of load data with regard to potential lumbar overloading during single operations, working shifts and the entire occupational life. Thenew recommendations on maximum daily exposure for lifelong work for both men and women are bridging the former gap of biomechanically justified action frequency limits and now offer the possibility of a completely biomechanical path for risk assessment of manual materials handling. The book provides hence a serious contribution to the objectification of lumbar load and load-bearing capacity aiming at an ergonomic work design of manual materials handling for short- as well as long-term exposures.
This book proposes a Metamodel for heritage-based urban development, based on urban morphology, governance theory, and the metamodeling concept of John P. Van Gigch. Building on international policies such as the 2011 Recommendation for Historic Urban Landscapes and the results of the 2016 Urban Habitat III Conference, cultural heritage is now regarded as a potential resource for sustainable urban development. While more and more evidence of the potential benefits of cultural heritage for sustainable development has been published, this book is the first to develop and design a Metamodel that can be universally applied in a wide variety of settings. The Metamodel was developed using grounded theory and design research methodology and is based on three successful case-models from European contexts. The book includes three application scenarios that elaborate how the metamodel can be used to design, evaluate, and improve processes where cultural heritage is a starting point forsustainable urban development.
This book proposes a Metamodel for heritage-based urban development, based on urban morphology, governance theory, and the metamodeling concept of John P. Van Gigch. Building on international policies such as the 2011 Recommendation for Historic Urban Landscapes and the results of the 2016 Urban Habitat III Conference, cultural heritage is now regarded as a potential resource for sustainable urban development. While more and more evidence of the potential benefits of cultural heritage for sustainable development has been published, this book is the first to develop and design a Metamodel that can be universally applied in a wide variety of settings. The Metamodel was developed using grounded theory and design research methodology and is based on three successful case-models from European contexts. The book includes three application scenarios that elaborate how the metamodel can be used to design, evaluate, and improve processes where cultural heritage is a starting point forsustainable urban development.
This open access book presents a new translation, interpretation and analysis of selected passages from the so-called Mohist Canon, a Chinese text from ca. 300 BCE, and discusses the role of the text in the world history of science, arguing that it represents an early emergence of theoretical, systematized knowledge that is independent from parallel developments in ancient Greece. It is aimed at historians of science, of knowledge and of philosophy, and generally at readers interested in these topics from an intercultural perspective and particularly with respect to China.
This open access book presents a new translation, interpretation and analysis of selected passages from the so-called Mohist Canon, a Chinese text from ca. 300 BCE, and discusses the role of the text in the world history of science, arguing that it represents an early emergence of theoretical, systematized knowledge that is independent from parallel developments in ancient Greece. It is aimed at historians of science, of knowledge and of philosophy, and generally at readers interested in these topics from an intercultural perspective and particularly with respect to China.
This book deals with a central aspect of Marx’s critique of society that is usually not examined further since it is taken as a matter of course: its scientific claim of being true. But what concept of truth underlies his way of reasoning which attempts to comprehend the social and political circumstances in terms of the possibility of their practical upheaval? In three studies focusing specifically on the development of Marx’s scientific critique of capitalist society, his journalistic commentaries on European politics, and his reflections on the organisation of revolutionary subjectivity, the authors carve out the immanent relation between the scientifically substantiated claim to truth and the revolutionary perspective in Marx's writings. They argue that Marx does not grasp the world ‘as it is’ but conceives it as an inverted state which cannot remain what it is but generates the means by which it can eventually be overcome. This is not something to be taken lightly: Such a concept has theoretical, political and even violent consequences—consequences that nevertheless derive neither from a subjective error nor a contamination of an otherwise ‘pure’ science. By analyzing Marx’s concept of truth the authors also attempt to shed light on a pivotal problematique of any modern critique of society that raises a reasoned claim of being true.
This book deals with a central aspect of Marx’s critique of society that is usually not examined further since it is taken as a matter of course: its scientific claim of being true. But what concept of truth underlies his way of reasoning which attempts to comprehend the social and political circumstances in terms of the possibility of their practical upheaval? In three studies focusing specifically on the development of Marx’s scientific critique of capitalist society, his journalistic commentaries on European politics, and his reflections on the organisation of revolutionary subjectivity, the authors carve out the immanent relation between the scientifically substantiated claim to truth and the revolutionary perspective in Marx's writings. They argue that Marx does not grasp the world ‘as it is’ but conceives it as an inverted state which cannot remain what it is but generates the means by which it can eventually be overcome. This is not something to be taken lightly: Such a concept has theoretical, political and even violent consequences—consequences that nevertheless derive neither from a subjective error nor a contamination of an otherwise ‘pure’ science. By analyzing Marx’s concept of truth the authors also attempt to shed light on a pivotal problematique of any modern critique of society that raises a reasoned claim of being true.
This book explores visualization and imputation techniques for missing values and presents practical applications using the statistical software R. It explains the concepts of common imputation methods with a focus on visualization, description of data problems and practical solutions using R, including modern methods of robust imputation, imputation based on deep learning and imputation for complex data. By describing the advantages, disadvantages and pitfalls of each method, the book presents a clear picture of which imputation methods are applicable given a specific data set at hand.The material covered includes the pre-analysis of data, visualization of missing values in incomplete data, single and multiple imputation, deductive imputation and outlier replacement, model-based methods including methods based on robust estimates, non-linear methods such as tree-based and deep learning methods, imputation of compositional data, imputation quality evaluation from visual diagnostics to precision measures, coverage rates and prediction performance and a description of different model- and design-based simulation designs for the evaluation. The book also features a topic-focused introduction to R and R code is provided in each chapter to explain the practical application of the described methodology. Addressed to researchers, practitioners and students who work with incomplete data, the book offers an introduction to the subject as well as a discussion of recent developments in the field. It is suitable for beginners to the topic and advanced readers alike.
This book explores visualization and imputation techniques for missing values and presents practical applications using the statistical software R. It explains the concepts of common imputation methods with a focus on visualization, description of data problems and practical solutions using R, including modern methods of robust imputation, imputation based on deep learning and imputation for complex data. By describing the advantages, disadvantages and pitfalls of each method, the book presents a clear picture of which imputation methods are applicable given a specific data set at hand.The material covered includes the pre-analysis of data, visualization of missing values in incomplete data, single and multiple imputation, deductive imputation and outlier replacement, model-based methods including methods based on robust estimates, non-linear methods such as tree-based and deep learning methods, imputation of compositional data, imputation quality evaluation from visual diagnostics to precision measures, coverage rates and prediction performance and a description of different model- and design-based simulation designs for the evaluation. The book also features a topic-focused introduction to R and R code is provided in each chapter to explain the practical application of the described methodology. Addressed to researchers, practitioners and students who work with incomplete data, the book offers an introduction to the subject as well as a discussion of recent developments in the field. It is suitable for beginners to the topic and advanced readers alike.
