Internet of things programming with JavaScript

CUDA is now the dominant language used for programming GPUs, one of the most exciting hardware developments of recent decades. With CUDA, you can use a desktop PC for work that would have previously required a large cluster of PCs or access to a HPC facility. As a result, CUDA is increasingly important in scientific and technical computing across the whole STEM community, from medical physics and financial modelling to big data applications and beyond. This unique book on CUDA draws on the author's passion for and long experience of developing and using computers to acquire and analyse scientific data. The result is an innovative text featuring a much richer set of examples than found in any other comparable book on GPU computing. Much attention has been paid to the C++ coding style, which is compact, elegant and efficient. A code base of examples and supporting material is available online, which readers can build on for their own projects.

Computer scientists often need to learn new programming languages quickly. The best way to prepare for this is to understand the foundational principles that underlie even the most complicated industrial languages. This text for an undergraduate programming languages course distills great languages and their design principles down to easy-to-learn 'bridge' languages implemented by interpreters whose key parts are explained in the text. The book goes deep into the roots of both functional and object-oriented programming, and it shows how types and modules, including generics/polymorphism, contribute to effective programming. The book is not just about programming languages; it is also about programming. Through concepts, examples, and more than 300 practice exercises that exploit the interpreter, students learn not only what programming-language features are but also how to do things with them. Substantial implementation projects include Milner's type inference, both copying and mark-an

The 1898 lynching of Tom Johnson and Joe Kizer is retold in this groundbreaking book. Unlike other histories of lynching that rely on conventional historical records, this study focuses on the objects associated with the lynching, including newspaper articles, fragments of the victims' clothing, photographs, and souvenirs such as sticks from the hanging tree. This material culture approach uncovers how people tried to integrate the meaning of the lynching into their everyday lives through objects. These seemingly ordinary items are repositories for the comprehension, interpretation, and commemoration of racial violence and white supremacy. Elijah Gaddis showcases an approach to objects as materials of history and memory, insisting that we live in a world suffused with the material traces of racial violence, past and present.

Python is one of the most popular programming languages, widely used for data analysis and modelling, and is fast becoming the leading choice for scientists and engineers. Unlike other textbooks introducing Python, typically organised by language syntax, this book uses many examples from across Biology, Chemistry, Physics, Earth science, and Engineering to teach and motivate students in science and engineering. The text is organised by the tasks and workflows students undertake day-to-day, helping them see the connections between programming tools and their disciplines. The pace of study is carefully developed for complete beginners, and a spiral pedagogy is used so concepts are introduced across multiple chapters, allowing readers to engage with topics more than once. “Try This!” exercises and online Jupyter notebooks encourage students to test their new knowledge, and further develop their programming skills. Online solutions are available for instructors, alongside discipline-specif

Psychological science constructs much of the knowledge that we consume in our everyday lives. This book is a systematic analysis of this process, and of the nature of the knowledge it produces. The authors show how mainstream scientific activity treats psychological properties as being fundamentally stable, universal, and isolable. They then challenge this status quo by inviting readers to recognize that dynamics, context-specificity, interconnectedness, and uncertainty, are a natural and exciting part of human psychology – these are not things to be avoided and feared, but instead embraced. This requires a shift toward a process-based approach that recognizes the situated, time-dependent, and fundamentally processual nature of psychological phenomena. With complex dynamic systems as a framework, this book sketches out how we might move toward a process-based praxis that is more suitable and effective for understanding human functioning.

Offering a new perspective, this textbook demystifies the operation of electric machines by providing an integrated understanding of electromagnetic fields, electric circuits, numerical analysis, and computer programming. It presents fundamental concepts in a rigorous manner, emphasising underlying physical modelling assumptions and limitations, and provides detailed explanations of how to implement the finite element method to explore these concepts using Python. It includes explanations of the conversion of concepts into algorithms, and algorithms into code, and examples building in complexity, from simple linear-motion electromagnets to rotating machines. Over 100 theoretical and computational end-of-chapter exercises test understanding, with solutions for instructors and downloadable Python code available online. Ideal for graduates and senior undergraduates studying electric machines, electric machine design and control, and power electronic converters and power systems engineerin

Material culture studies is an interdisciplinary field that examines the relationships between people and their things: the production, history, preservation, and interpretation of objects. It draws on theory and practice from disciplines in the social sciences and humanities, such as anthropology, archaeology, history, and museum studies. Written by leading international scholars, this Handbook provides a comprehensive view of developments, methodologies and theories. It is divided into five broad themes, embracing both classic and emerging areas of research in the field. Chapters outline transformative moments in material culture scholarship, and present research from around the world, focusing on multiple material and digital media that show the scope and breadth of this exciting field. Written in an easy-to-read style, it is essential reading for students, researchers and professionals with an interest in material culture.

Deep brain stimulation (DBS) is now a firmly established treatment for movement disorders, and an increasing body of evidence supports DBS in the treatment of other neurological and psychiatric disorders. This essential reference guide outlines a practical approach to the use of this paradigm-shifting therapy and covers key aspects of DBS practice. Chapters describe how to implement a DBS program and select appropriate patients, device programming to achieve optimal symptom control, and long-term management of patients. Thoroughly revised, this third edition includes additional chapters on managing patients with emerging applications of DBS. An entire chapter is dedicated to troubleshooting common problems with the therapy as many 'failures' are preventable and addressable. With contributions from experts in the field, this is a must-have reference guide for any clinician working with DBS patients.

Through a collaboration among twenty legal scholars from eleven countries in North America, Europe and Asia, Patent Remedies and Complex Products presents an international consensus on the use of patent remedies for complex products such as smartphones, computer networks and the Internet of Things. It covers the application of both monetary remedies like reasonable royalties, lost profits, and enhanced damages, as well as injunctive relief. Readers will also learn about the effect of competition laws and agreements to license standards-essential patents on terms that are 'fair, reasonable and non-discriminatory' (FRAND) on patent remedies. Where national values and policy make consensus difficult, contributors discuss the nature and direction of further research required to resolve disagreements. This title is also available as Open Access on Cambridge Core.

This text provides deep and comprehensive coverage of the mathematical background for data science, including machine learning, optimal recovery, compressed sensing, optimization, and neural networks. In the past few decades, heuristic methods adopted by big tech companies have complemented existing scientific disciplines to form the new field of Data Science. This text embarks the readers on an engaging itinerary through the theory supporting the field. Altogether, twenty-seven lecture-length chapters with exercises provide all the details necessary for a solid understanding of key topics in data science. While the book covers standard material on machine learning and optimization, it also includes distinctive presentations of topics such as reproducing kernel Hilbert spaces, spectral clustering, optimal recovery, compressed sensing, group testing, and applications of semidefinite programming. Students and data scientists with less mathematical background will appreciate the appendice

On social media, new forms of communication arise rapidly, many of which are intense, dispersed, and create new communities at a global scale. Such communities can act as distinct information bubbles with their own perspective on the world, and it is difficult for people to find and monitor all these perspectives and relate the different claims made. Within this digital jungle of perspectives on truth, it is difficult to make informed decisions on important things like vaccinations, democracy, and climate change. Understanding and modeling this phenomenon in its full complexity requires an interdisciplinary approach, utilizing the ample data provided by digital communication to offer new insights and opportunities. This interdisciplinary book gives a comprehensive view on social media communication, the different forms it takes, the impact and the technology used to mine it, and defines the roadmap to a more transparent Web.

Increasingly, conscientious consumers and green marketers are recognizing that material things, not firms, must be made responsible. Even so, many scholars in ethics, sustainability, and governance focus on people and organizations, ignoring the flows of things. In this book, Ryan Burg argues that material things are fundamental features of moral life, serving as both valuable instruments and guides for responsibility. Unless care is taken for these non-living entities, living things cannot be protected. Viewing the global economy as a network of material transfers, Burg argues that to facilitate object care, professionals must act as stewards. By tracing the origins and disposal of workplace objects through this material network, businesses and employees can discover the outcomes for which they are responsible, and managers can align ethics, sustainability and governance with a truly global formulation of responsibility.

All social and policy researchers need to synthesize data into a visual representation. Producing good visualizations combines creativity and technique. This book teaches the techniques and basics to produce a variety of visualizations, allowing readers to communicate data and analyses in a creative and effective way. Visuals for tables, time series, maps, text, and networks are carefully explained and organized, showing how to choose the right plot for the type of data being analysed and displayed. Examples are drawn from public policy, public safety, education, political tweets, and public health. The presentation proceeds step by step, starting from the basics, in the programming languages R and Python so that readers learn the coding skills while simultaneously becoming familiar with the advantages and disadvantages of each visualization. No prior knowledge of either Python or R is required. Code for all the visualizations are available from the book's website.

All social and policy researchers need to synthesize data into a visual representation. Producing good visualizations combines creativity and technique. This book teaches the techniques and basics to produce a variety of visualizations, allowing readers to communicate data and analyses in a creative and effective way. Visuals for tables, time series, maps, text, and networks are carefully explained and organized, showing how to choose the right plot for the type of data being analysed and displayed. Examples are drawn from public policy, public safety, education, political tweets, and public health. The presentation proceeds step by step, starting from the basics, in the programming languages R and Python so that readers learn the coding skills while simultaneously becoming familiar with the advantages and disadvantages of each visualization. No prior knowledge of either Python or R is required. Code for all the visualizations are available from the book's website.

A History of Anti-Semitism examines the history, culture and literature of antisemitism from antiquity to the present. With contributions from an international team of scholars, whose essays were specially commissioned for this volume, it covers the long history of antisemitism starting with ancient Greece and Egypt, through the anti-Judaism of early Christianity, and the medieval era in both the Christian and Muslim worlds when Jews were defined as 'outsiders,' especially in Christian Europe. This portrayal often led to violence, notably pogroms that often accompanied Crusades, as well as to libels against Jews. The volume also explores the roles of Luther and the Reformation, the Enlightenment, the debate over Jewish emancipation, Marxism, and the social disruptions after World War 1 that led to the rise of Nazism and genocide. Finally, it considers current issues, including the dissemination of hate on social media and the internet and questions of definition and method.

A History of Anti-Semitism examines the history, culture and literature of antisemitism from antiquity to the present. With contributions from an international team of scholars, whose essays were specially commissioned for this volume, it covers the long history of antisemitism starting with ancient Greece and Egypt, through the anti-Judaism of early Christianity, and the medieval era in both the Christian and Muslim worlds when Jews were defined as 'outsiders,' especially in Christian Europe. This portrayal often led to violence, notably pogroms that often accompanied Crusades, as well as to libels against Jews. The volume also explores the roles of Luther and the Reformation, the Enlightenment, the debate over Jewish emancipation, Marxism, and the social disruptions after World War 1 that led to the rise of Nazism and genocide. Finally, it considers current issues, including the dissemination of hate on social media and the internet and questions of definition and method.