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The Science of Influencers and Superspreaders: Using Networks and Artificial Intelligence to Understand Fake News, Pandemics, Markets, and the Brain (Understanding Complex Systems)
by Hernán A. Makse Marta ZavaThis book explores the identification of influencers in complex networks, bridging theoretical approaches with practical applications across diverse fields. It examines interdisciplinary complex systems, including online social media, biological networks, brain networks, socioeconomic and financial systems, and ecosystems. The research presented aims to benefit scientists in relevant areas and inspire new scientific inquiries, potentially advancing the field of influencer identification. In this context, 'influencer' serves as an umbrella term for essential, core, or central nodes within any complex network. The book investigates various manifestations of influencers, such as key figures in social media, critical nodes in genetic and brain networks, keystone species in ecosystems, systemically important banks in financial markets, and disease superspreaders. These diverse scenarios are approached by mapping the influencer identification problem to challenges in physics or computer science. The book caters to readers at three distinct levels: 1. Those seeking mathematically rigorous theories of influencers will find Chapter 2 particularly valuable, as it delves into the mathematical foundations of influencer identification algorithms. Subsequent chapters explore the application of these theories across various disciplines. 2. Data scientists interested in implementing these algorithms in their research and practical work will find relevant information throughout the book. 3. Professionals in finance, marketing, politics, and social media, as well as readers curious about the intersection of big data, influencers, and AI, will gain insights into how these tools can enhance decision-making processes. These readers are encouraged to focus on the introduction and chapters most relevant to their fields, while briefly reviewing the more technical sections. By offering this multi-layered approach, the book aims to provide a comprehensive understanding of influencer identification in complex networks, from theoretical foundations to real-world applications across various domains.
The Science of Measurement: A Historical Survey
by Herbert Arthur Klein"Klein is both a skilled reporter and a wide-ranging humanistic scholar. The book is popular and learned, witty and serious, literary and mathematical -- always solid and entertaining." -- Los Angeles Times.Although the topic of measurement might seem to lend itself to a dry-as-dust treatment, this book is just the opposite: an engrossing, easy-to-read study that treats a multifaceted topic with wit, imagination, and wide-ranging scholarship.Metrology, the science of measurement, usually concerns itself with length, weight, volume, temperature, and time, but in this comprehensive work the topic also encompasses nuclear radiation, thermal power, light, pressure, sound, and many other areas. Representing nearly ten years of research effort, The Science of Measurement is considered a definitive book on the concepts and units by which we measure everything in our universe. Nontechnical in its approach, it is not only completely accessible to the general reader but as entertaining and fun to read as it is informative and comprehensive. " . . . not concerned only with problems of measuring the limits of space or the size of the proton. It is filled with interesting digressions. Not a book for daydreaming, but a book for the curious. Klein's survey of the units and concepts by which we measure everything in the universe helps us understand that universe much better." -- Boston Herald Advertiser
The Science of Sci-Fi Music (Science and Fiction)
by Andrew MayThe 20th century saw radical changes in the way serious music is composed and produced, including the advent of electronic instruments and novel compositional methods such as serialism and stochastic music. Unlike previous artistic revolutions, this one took its cues from the world of science. Creating electronic sounds, in the early days, required a well-equipped laboratory and an understanding of acoustic theory. Composition became increasingly “algorithmic”, with many composers embracing the mathematics of set theory. The result was some of the most intellectually challenging music ever written – yet also some of the best known, thanks to its rapid assimilation into sci-fi movies and TV shows, from the electronic scores of Forbidden Planet and Dr Who to the other-worldly sounds of 2001: A Space Odyssey.This book takes a close look at the science behind "science fiction" music, as well as exploring the way sci-fi imagery found its way into the work of musicians like Sun Ra and David Bowie, and how music influenced the science fiction writings of Philip K. Dick and others.
The Science of Soccer
by John WessonUpdated and revised throughout, this new edition of The Science of Soccer applies scientific analysis to football, giving us the answers to questions like "what's the chance of a team that wins the Premiership also winning the Cup? Can you predict how many goals will be scored? What's the best height for footballers? Is the team that wins the league the best team?" Starting with a qualitative description of the basic physics that relate to the ball and its bounce, the author then moves through kicks and throws, to a simple account of the more complex physics of a ball in flight. Fulfilling your scientific curiosity, this book uncovers aspects of the game that are not normally discussed. It includes a look at game theory, how the rules affect the flow and enjoyment of the game, unusual statistics about players, and an insight into the economics of the game. For those with a more mathematical interest in the physics, the final chapter provides a readable account of the theory behind the beautiful game. Features: Accessible to anyone interested in understanding more about the science behind the sport Updated throughout, with new content on transfer fees, wages, and the top goal-scorers Discusses topics not explored in current literature, including rudimentary game theory
The Science of State Power in the Habsburg Monarchy, 1790-1880 (New Perspectives on Central and Eastern European Studies #5)
by Borbala Zsuzsanna TörökThe formation of modern European states during the long 19th century was a complicated process, challenged by the integration of widely different territories and populations. The Science of State Power in the Habsburg Monarchy, 1790-1880 builds on recent research to investigate the history of statistics as an overlooked part of the sciences of the state in Habsburg legal education as well as within the broader public sphere. By exploring the practices and social spaces of statistics, author Borbála Zsuzsanna Török uncovers its central role in imagining the composite Habsburg Monarchy as a modern and unified administrative space.
Science, Seti, and Mathematics
by Carl L. DeVitoMathematics is as much a part of our humanity as music and art. And it is our mathematics that might be understandable, even familiar, to a distant race and might provide the basis for mutual communication. This book discusses, in a conversational way, the role of mathematics in the search for extraterrestrial intelligence. The author explores the science behind that search, its history, and the many questions associated with it, including those regarding the nature of language and the philosophical/psychological motivation behind this search.
Scientific Computing: An Introductory Survey
by Michael T. HeathThis book presents a broad overview of numerical methods for solving all the major problems in scientific computing.
Scientific Computing and Algorithms in Industrial Simulations
by Michael Griebel Anton Schüller Marc Alexander SchweitzerThe contributions gathered here provide an overview of current research projects and selected software products of the Fraunhofer Institute for Algorithms and Scientific Computing SCAI. They show the wide range of challenges that scientific computing currently faces, the solutions it offers, and its important role in developing applications for industry. Given the exciting field of applied collaborative research and development it discusses, the book will appeal to scientists, practitioners, and students alike. The Fraunhofer Institute for Algorithms and Scientific Computing SCAI combines excellent research and application-oriented development to provide added value for our partners. SCAI develops numerical techniques, parallel algorithms and specialized software tools to support and optimize industrial simulations. Moreover, it implements custom software solutions for production and logistics, and offers calculations on high-performance computers. Its services and products are based on state-of-the-art methods from applied mathematics and information technology.
Scientific Computing and Cultural Heritage
by Hans Georg Bock Michael J. Winckler Willi JägerThe sheer computing power of modern information technology is changing the face of research not just in science, technology and mathematics, but in humanities and cultural studies too. Recent decades have seen a major shift both in attitudes and deployment of computers, which are now vital and highly effective tools in disciplines where they were once viewed as elaborate typewriters. This revealing volume details the vast array of computing applications that researchers in the humanities now have recourse to, including the dissemination of scholarly information through virtual 'co-laboratories', data retrieval, and the modeling of complex processes that contribute to our natural and cultural heritage. One key area covered in this book is the versatility of computers in presenting images and graphics, which is transforming the analysis of data sets and archaeological reconstructions alike. The papers published here are grouped into three broad categories that cover mathematical and computational methods, research developments in information systems, and a detailed portrayal of ongoing work on documenting, restoring and presenting cultural monuments including the temples in Pompeii and the Banteay Chhmar temples of the Angkorian period in present-day Cambodia. Originally presented at a research workshop in Heidelberg, Germany, they reflect the rapidly developing identity of computational humanities as an interdisciplinary field in its own right, as well as demonstrating the breadth of perspectives in this young and vibrant research area.
Scientific Computing, Computer Arithmetic, and Validated Numerics
by Marco Nehmeier Jürgen Wolff von Gudenberg Warwick TuckerThis book constitutes the refereed post proceedings of the16th International Symposium, SCAN 2014, held in Würzburg, Germany, in September 2014. The 22 full papers presented were carefullyreviewed and selected from 60 submissions. The main concerns of research addressed by SCAN conferences are validation, verification or reliable assertions of numerical computations. Interval arithmetic and other treatments of uncertainty are developed as appropriate tools.
Scientific Computing, Computer Arithmetic, and Validated Numerics: 16th International Symposium, SCAN 2014, Würzburg, Germany, September 21-26, 2014. Revised Selected Papers (Lecture Notes in Computer Science #9553)
by Marco Nehmeier Jürgen Wolff von Gudenberg Warwick TuckerThis book constitutes the refereed post proceedings of the 16th International Symposium, SCAN 2014, held in Würzburg, Germany, in September 2014. The 22 full papers presented were carefully reviewed and selected from 60 submissions. The main concerns of research addressed by SCAN conferences are validation, verification or reliable assertions of numerical computations. Interval arithmetic and other treatments of uncertainty are developed as appropriate tools.
Scientific Computing in Electrical Engineering: SCEE 2020, Eindhoven, The Netherlands, February 2020 (Mathematics in Industry #36)
by Martijn Van Beurden Neil Budko Wil SchildersThe conference has an interdisciplinary focus and aims to bring together scientists – mathematicians, electrical engineers, computer scientists, and physicists, from universities and industry – to have in-depth discussions of the latest scientific results in Computational Science and Engineering relevant to Electrical Engineering and to stimulate and inspire active participation of young researchers.
Scientific Computing in Electrical Engineering: SCEE 2022, Amsterdam, The Netherlands, July 2022 (Mathematics in Industry #43)
by Martijn Van Beurden Neil V. Budko Gabriela Ciuprina Wil Schilders Harshit Bansal Ruxandra BarbulescuThis volume comprises selected papers presented at the 14th International Conference on Scientific Computing in Electrical Engineering, SCEE 2022, held in Amsterdam, The Netherlands, in July 2022. The aim of the SCEE 2022 conference was to bring together scientists – mathematicians, electrical engineers, computer scientists, and physicists, from universities and industry – to have in-depth discussions of the latest scientific results in Computational Science and Engineering relevant to Electrical Engineering and to stimulate and inspire active participation of young researchers.This extensive reference work is divided into four parts: Part I Circuit Simulation and Design.- Part II Device Simulation.- Part III Computational Electromagnetics.- Part IV Mathematical and Computational Methods. Each part starts with a general introduction, followed by the respective contributions. The book will appeal to mathematicians and electricalengineers. Further, it introduces algorithm and program developers to recent advances in the other fields, while industry experts will be introduced to new programming tools and mathematical methods.
Scientific Computing in Electrical Engineering: Scee 2016, St. Wolfgang, Austria, October 2016 (Mathematics In Industry Ser. #28)
by Ulrich Langer Wolfgang Amrhein Walter ZulehnerThis collection of selected papers presented at the 11th International Conference on Scientific Computing in Electrical Engineering (SCEE), held in St. Wolfgang, Austria, in 2016, showcases the state of the art in SCEE. The aim of the SCEE 2016 conference was to bring together scientists from academia and industry, mathematicians, electrical engineers, computer scientists, and physicists, and to promote intensive discussions on industrially relevant mathematical problems, with an emphasis on the modeling and numerical simulation of electronic circuits and devices, electromagnetic fields, and coupled problems. The focus in methodology was on model order reduction and uncertainty quantification. This extensive reference work is divided into six parts: Computational Electromagnetics, Circuit and Device Modeling and Simulation, Coupled Problems and Multi‐Scale Approaches in Space and Time, Mathematical and Computational Methods Including Uncertainty Quantification, Model Order Reduction, and Industrial Applications. Each part starts with a general introduction, followed by the respective contributions. This book will appeal to mathematicians and electrical engineers. Further, it introduces algorithm and program developers to recent advances in the other fields, while industry experts will be introduced to new programming tools and mathematical methods.
Scientific Computing in Electrical Engineering: SCEE 2018, Taormina, Italy, September 2018 (Mathematics in Industry #32)
by Giuseppe Nicosia Vittorio RomanoThis collection of selected papers presented at the 12th International Conference on Scientific Computing in Electrical Engineering, SCEE 2018, held in Taormina, Sicily, Italy, in September 2018, showcases the state of the art in SCEE.The aim of the SCEE 2018 conference was to bring together scientists from academia and industry, mathematicians, electrical engineers, computer scientists, and physicists, and to promote intensive discussions on industrially relevant mathematical problems, with an emphasis on the modeling and numerical simulation of electronic circuits and of electromagnetic fields. This extensive reference work is divided into five parts: Computational Electromagnetics, Device Modeling and Simulation, Circuit Simulation, Mathematical and Computational Methods, Model Order Reduction. Each part starts with a general introduction, followed by the respective contributions. The book will appeal to mathematicians and electrical engineers. Further, it introduces algorithm and program developers to recent advances in the other fields, while industry experts will be introduced to new programming tools and mathematical methods.
Scientific Computing with MATLAB
by Dingyu Xue YangQuan ChenScientific Computing with MATLAB®, Second Edition improves students’ ability to tackle mathematical problems. It helps students understand the mathematical background and find reliable and accurate solutions to mathematical problems with the use of MATLAB, avoiding the tedious and complex technical details of mathematics. This edition retains the structure of its predecessor while expanding and updating the content of each chapter. The book bridges the gap between problems and solutions through well-grouped topics and clear MATLAB example scripts and reproducible MATLAB-generated plots. Students can effortlessly experiment with the scripts for a deep, hands-on exploration. Each chapter also includes a set of problems to strengthen understanding of the material.
Scientific Computing with Multicore and Accelerators (Chapman & Hall/CRC Computational Science)
by Jakub Kurzak David A. Bader Jack DongarraThe hybrid/heterogeneous nature of future microprocessors and large high-performance computing systems will result in a reliance on two major types of components: multicore/manycore central processing units and special purpose hardware/massively parallel accelerators. While these technologies have numerous benefits, they also pose substantial perfo
Scientific Data Analysis with R: Biostatistical Applications
by Azizur Rahman Faruq Abdulla Md. Moyazzem HossainIn an era marked by exponential growth in data generation and an unprecedented convergence of technology and healthcare, the intersection of biostatistics and data science has become a pivotal domain. This book is the ideal companion in navigating the convergence of statistical methodologies and data science techniques with diverse applications implemented in the open-source environment of R. It is designed to be a comprehensive guide, marrying the principles of biostatistics with the practical implementation of statistics and data science in R, thereby empowering learners, researchers, and practitioners with the tools necessary to extract meaningful knowledge from biological, health, and medical datasets.This book is intended for students, researchers, and professionals eager to harness the combined power of biostatistics, data science, and the R programming language while gathering vital statistical knowledge needed for cutting-edge scientists in all fields. It is useful for those seeking to understand the basics of data science and statistical analysis, or looking to enhance their skills in handling any simple or complex data including biological, health, medical, and industry data.Key Features: Presents contemporary concepts of data science and biostatistics with real-life data analysis examples Promotes the evolution of fundamental and advanced methods applying to real-life problem-solving cases Explores computational statistical data science techniques from initial conception to recent developments of biostatistics Provides all R codes and real-world datasets to practice and competently apply into reader’s own domains Written in an exclusive state-of-the-art deductive approach without any theoretical hitches to support all contemporary readers
Scientific Data Management: Challenges, Technology, and Deployment
by Arie Shoshani Doron RotemDealing with the volume, complexity, and diversity of data currently being generated by scientific experiments and simulations often causes scientists to waste productive time. Scientific Data Management: Challenges, Technology, and Deployment describes cutting-edge technologies and solutions for managing and analyzing vast amounts of data, helping
Scientific Inference
by Simon Vaughan Aptara. IncProviding the knowledge and practical experience to begin analysing scientific data, this book is ideal for physical sciences students wishing to improve their data handling skills. The book focuses on explaining and developing the practice and understanding of basic statistical analysis, concentrating on a few core ideas, such as the visual display of information, modelling using the likelihood function, and simulating random data. Key concepts are developed through a combination of graphical explanations, worked examples, example computer code and case studies using real data. Students will develop an understanding of the ideas behind statistical methods and gain experience in applying them in practice.
Scientific Inquiry in Mathematics - Theory and Practice: A Stem Perspective
by Andrzej SokolowskiThis valuable resource provides an overview of recent research and strategies in developing and applying modelling to promote practice-based research in STEM education. In doing so, it bridges barriers across academic disciplines by suggesting activities that promote integration of qualitative science concepts with the tools of mathematics and engineering. The volume’s three parts offer a comprehensive review, by 1) Presenting a conceptual background of how scientific inquiry can be induced in mathematics classes considering recommendations of prior research, 2) Collecting case studies that were designed using scientific inquiry process designed for math classes, and 3) Exploring future possibilities and directions for the research included within. Among the topics discussed: · STEM education: A platform for multidisciplinary learning. · Teaching and learning representations in STEM. · Formulating conceptual framework for multidisciplinary STEM modeling. · Exploring function continuity in context. · Exploring function transformations using a dynamic system. Scientific Inquiry in Mathematics - Theory and Practice delivers hands-on and concrete strategies for effective STEM teaching in practice to educators within the fields of mathematics, science, and technology. It will be of interest to practicing and future mathematics teachers at all levels, as well as teacher educators, mathematics education researchers, and undergraduate and graduate mathematics students interested in research based methods for integrating inquiry-based learning into STEM classrooms.
Scientific Method: Applications in Failure Investigation and Forensic Science (International Forensic Science and Investigation)
by Randall K. NoonMost failure or accident investigations begin at the end of the story: after the explosion, after the fire has been extinguished, or after the collapse. In many instances, information about the last event and the starting event is known reasonably well. Information about what occurred between these endpoints, however, is often unclear, confusing, and perhaps contradictory. Scientific Method: Applications in Failure Investigation and Forensic Science explains how scientific investigative methods can best be used to determine why and how a particular event occurred.While employing examples from forensic engineering, the book uses principles and ideas applicable to most of the forensic sciences. The author examines the role of the failure investigator, describes the fundamental method for investigation, discusses the optimal way to organize evidence, and explores the four most common reasons why some investigations fail. The book provides three case studies that exemplify proper report writing, contains a special chapter profiling a criminal case by noted forensic specialist Jon J. Nordby, and offers a reading list of resources for further study.Concise and illustrative, this volume demonstrates how the scientific method can be applied to failure investigation in ways that avoid flawed reasoning while delivering convincing reconstruction scenarios. Investigators can pinpoint where things went wrong, providing valuable information that can prevent another catastrophe.
Scientific Method: How Science Works, Fails to Work, and Pretends to Work
by John StaddonThis book shows how science works, fails to work, or pretends to work, by looking at examples from such diverse fields as physics, biomedicine, psychology, and economics. Social science affects our lives every day through the predictions of experts and the rules and regulations they devise. Sciences like economics, sociology and health are subject to more ‘operating limitations’ than classical fields like physics or chemistry or biology. Yet, their methods and results must also be judged according to the same scientific standards. Every literate citizen should understand these standards and be able to tell the difference between good science and bad. Scientific Method enables readers to develop a critical, informed view of scientific practice by discussing concrete examples of how real scientists have approached the problems of their fields. It is ideal for students and professionals trying to make sense of the role of science in society, and of the meaning, value, and limitations of scientific methodology in the social sciences.
Scientific Method: How Science Works, Fails to Work, and Pretends to Work
by John StaddonThis expanded second edition of Scientific Method shows how science works, fails to work or pretends to work by looking at examples from physics, biomedicine, psychology, sociology and economics.Scientific Method aims to help curious readers understand the idea of science, not by learning a list of techniques but through examples both historical and contemporary. Staddon affirms that if the reader can understand successful studies as well as studies that appear to be scientific but are not, they will become a better judge of the “science” in circulation today. To this end, this new edition includes a new chapter, What is Science?, which points out that science, like any human activity, has its own set of values, with truth being the core. Other new chapters focus on the emergence of AI and machine learning, science and diversity, and behavioral economics. The book also includes textual features such as bullet-points and text boxes on topical issues.Scientific Method is essential reading for students and professionals trying to make sense of the role of science in society, and of the meaning, value and limitations of scientific methodology.
Scientific Philosophy
by Gustavo E. RomeroThis textbook presents the basics of philosophy that are necessary for the student and researcher in science in order to better understand scientific work. The approach is not historical but formative: tools for semantical analysis, ontology of science, epistemology, and scientific ethics are presented in a formal and direct way. The book has two parts: one with the general theory and a second part with application to some problems such as the interpretation of quantum mechanics, the nature of mathematics, and the ontology of spacetime. The book addresses questions such as "What is meaning?", "What is truth?", "What are truth criteria in science?", "What is a theory?", "What is a model?" "What is a datum?", "What is information?", "What does it mean to understand something?", "What is space?", "What is time?", "How are these concepts articulated in science?" "What are values?" "What are the limits of science?", and many more. The philosophical views presented are "scientific" in the sense that they are informed by current science, they are relevant for scientific research, and the method adopted uses the hypothetical-deductive approach that is characteristic of science. The results and conclusions, as any scientific conclusion, are open to revision in the light of future advances. Hence, this philosophical approach opposes to dogmatic philosophy. Supported by end-of-chapter summaries and a list of special symbols used, the material will be of interest for students and researchers in both science and philosophy. The second part will appeal to physicists and mathematicians.