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The Theory and Craft of Digital Preservation

Author : Trevor Owens
Publisher : JHU Press
ISBN 13 : 1421426986
Total Pages : 239 pages
Book Rating : 4.4/5 (214 download)

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Book Synopsis The Theory and Craft of Digital Preservation by : Trevor Owens

Download or read book The Theory and Craft of Digital Preservation written by Trevor Owens and published by JHU Press. This book was released on 2018-12-11 with total page 239 pages. Available in PDF, EPUB and Kindle. Book excerpt: A guide to managing data in the digital age. Winner of the ALCTS Outstanding Publication Award by the Association for Library Collections & Technical Services, Winner of the Waldo Gifford Leland Award by the Society of American Archivists Many people believe that what is on the Internet will be around forever. At the same time, warnings of an impending "digital dark age"—where records of the recent past become completely lost or inaccessible—appear with regular frequency in the popular press. It's as if we need a system to safeguard our digital records for future scholars and researchers. Digital preservation experts, however, suggest that this is an illusory dream not worth chasing. Ensuring long-term access to digital information is not that straightforward; it is a complex issue with a significant ethical dimension. It is a vocation. In The Theory and Craft of Digital Preservation, librarian Trevor Owens establishes a baseline for practice in this field. In the first section of the book, Owens synthesizes work on the history of preservation in a range of areas (archives, manuscripts, recorded sound, etc.) and sets that history in dialogue with work in new media studies, platform studies, and media archeology. In later chapters, Owens builds from this theoretical framework and maps out a more deliberate and intentional approach to digital preservation. A basic introduction to the issues and practices of digital preservation, the book is anchored in an understanding of the traditions of preservation and the nature of digital objects and media. Based on extensive reading, research, and writing on digital preservation, Owens's work will prove an invaluable reference for archivists, librarians, and museum professionals, as well as scholars and researchers in the digital humanities.

Preprint Book

Author : Canadian Pulp and Paper Association. Woodlands Section. Meeting
Publisher :
ISBN 13 :
Total Pages : 206 pages
Book Rating : 4.:/5 (319 download)

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Book Synopsis Preprint Book by : Canadian Pulp and Paper Association. Woodlands Section. Meeting

Download or read book Preprint Book written by Canadian Pulp and Paper Association. Woodlands Section. Meeting and published by . This book was released on with total page 206 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Causal Inference

Author : Miquel A. Hernan
Publisher : CRC Press
ISBN 13 : 9781420076165
Total Pages : 352 pages
Book Rating : 4.0/5 (761 download)

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Book Synopsis Causal Inference by : Miquel A. Hernan

Download or read book Causal Inference written by Miquel A. Hernan and published by CRC Press. This book was released on 2019-07-07 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt: The application of causal inference methods is growing exponentially in fields that deal with observational data. Written by pioneers in the field, this practical book presents an authoritative yet accessible overview of the methods and applications of causal inference. With a wide range of detailed, worked examples using real epidemiologic data as well as software for replicating the analyses, the text provides a thorough introduction to the basics of the theory for non-time-varying treatments and the generalization to complex longitudinal data.

Monthly Catalogue, United States Public Documents

Author :
Publisher :
ISBN 13 :
Total Pages : 1250 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Monthly Catalogue, United States Public Documents by :

Download or read book Monthly Catalogue, United States Public Documents written by and published by . This book was released on 1970 with total page 1250 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Discrete Mathematics

Author : Jean Gallier
Publisher : Springer Science & Business Media
ISBN 13 : 1441980474
Total Pages : 466 pages
Book Rating : 4.4/5 (419 download)

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Book Synopsis Discrete Mathematics by : Jean Gallier

Download or read book Discrete Mathematics written by Jean Gallier and published by Springer Science & Business Media. This book was released on 2011-02-01 with total page 466 pages. Available in PDF, EPUB and Kindle. Book excerpt: This books gives an introduction to discrete mathematics for beginning undergraduates. One of original features of this book is that it begins with a presentation of the rules of logic as used in mathematics. Many examples of formal and informal proofs are given. With this logical framework firmly in place, the book describes the major axioms of set theory and introduces the natural numbers. The rest of the book is more standard. It deals with functions and relations, directed and undirected graphs, and an introduction to combinatorics. There is a section on public key cryptography and RSA, with complete proofs of Fermat's little theorem and the correctness of the RSA scheme, as well as explicit algorithms to perform modular arithmetic. The last chapter provides more graph theory. Eulerian and Hamiltonian cycles are discussed. Then, we study flows and tensions and state and prove the max flow min-cut theorem. We also discuss matchings, covering, bipartite graphs.

Open Access

Author : Peter Suber
Publisher : MIT Press
ISBN 13 : 0262517639
Total Pages : 255 pages
Book Rating : 4.2/5 (625 download)

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Book Synopsis Open Access by : Peter Suber

Download or read book Open Access written by Peter Suber and published by MIT Press. This book was released on 2012-07-20 with total page 255 pages. Available in PDF, EPUB and Kindle. Book excerpt: A concise introduction to the basics of open access, describing what it is (and isn't) and showing that it is easy, fast, inexpensive, legal, and beneficial. The Internet lets us share perfect copies of our work with a worldwide audience at virtually no cost. We take advantage of this revolutionary opportunity when we make our work “open access”: digital, online, free of charge, and free of most copyright and licensing restrictions. Open access is made possible by the Internet and copyright-holder consent, and many authors, musicians, filmmakers, and other creators who depend on royalties are understandably unwilling to give their consent. But for 350 years, scholars have written peer-reviewed journal articles for impact, not for money, and are free to consent to open access without losing revenue. In this concise introduction, Peter Suber tells us what open access is and isn't, how it benefits authors and readers of research, how we pay for it, how it avoids copyright problems, how it has moved from the periphery to the mainstream, and what its future may hold. Distilling a decade of Suber's influential writing and thinking about open access, this is the indispensable book on the subject for researchers, librarians, administrators, funders, publishers, and policy makers.

Statistical Mechanics of Lattice Systems

Author : Sacha Friedli
Publisher : Cambridge University Press
ISBN 13 : 1107184827
Total Pages : 643 pages
Book Rating : 4.1/5 (71 download)

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Book Synopsis Statistical Mechanics of Lattice Systems by : Sacha Friedli

Download or read book Statistical Mechanics of Lattice Systems written by Sacha Friedli and published by Cambridge University Press. This book was released on 2017-11-23 with total page 643 pages. Available in PDF, EPUB and Kindle. Book excerpt: A self-contained, mathematical introduction to the driving ideas in equilibrium statistical mechanics, studying important models in detail.

Book History

Author : Ezra Greenspan
Publisher : Penn State Press
ISBN 13 : 9780271023304
Total Pages : 320 pages
Book Rating : 4.0/5 (233 download)

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Book Synopsis Book History by : Ezra Greenspan

Download or read book Book History written by Ezra Greenspan and published by Penn State Press. This book was released on 2003-09-01 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: Book History is the annual journal of the Society for the History of Authorship, Reading and Publishing, Inc. (SHARP). Book History is devoted to every aspect of the history of the book, broadly defined as the history of the creation, dissemination, and the reception of script and print. Book History publishes research on the social, economic, and cultural history of authorship, editing, printing, the book arts, publishing, the book trade, periodicals, newspapers, ephemera, copyright, censorship, literary agents, libraries, literary criticism, canon formation, literacy, literacy education, reading habits, and reader response.

Graph Representation Learning

Author : William L. William L. Hamilton
Publisher : Springer Nature
ISBN 13 : 3031015886
Total Pages : 141 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Graph Representation Learning by : William L. William L. Hamilton

Download or read book Graph Representation Learning written by William L. William L. Hamilton and published by Springer Nature. This book was released on 2022-06-01 with total page 141 pages. Available in PDF, EPUB and Kindle. Book excerpt: Graph-structured data is ubiquitous throughout the natural and social sciences, from telecommunication networks to quantum chemistry. Building relational inductive biases into deep learning architectures is crucial for creating systems that can learn, reason, and generalize from this kind of data. Recent years have seen a surge in research on graph representation learning, including techniques for deep graph embeddings, generalizations of convolutional neural networks to graph-structured data, and neural message-passing approaches inspired by belief propagation. These advances in graph representation learning have led to new state-of-the-art results in numerous domains, including chemical synthesis, 3D vision, recommender systems, question answering, and social network analysis. This book provides a synthesis and overview of graph representation learning. It begins with a discussion of the goals of graph representation learning as well as key methodological foundations in graph theory and network analysis. Following this, the book introduces and reviews methods for learning node embeddings, including random-walk-based methods and applications to knowledge graphs. It then provides a technical synthesis and introduction to the highly successful graph neural network (GNN) formalism, which has become a dominant and fast-growing paradigm for deep learning with graph data. The book concludes with a synthesis of recent advancements in deep generative models for graphs—a nascent but quickly growing subset of graph representation learning.

Deep Learning

Author : Ian Goodfellow
Publisher : MIT Press
ISBN 13 : 0262337371
Total Pages : 801 pages
Book Rating : 4.2/5 (623 download)

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Book Synopsis Deep Learning by : Ian Goodfellow

Download or read book Deep Learning written by Ian Goodfellow and published by MIT Press. This book was released on 2016-11-10 with total page 801 pages. Available in PDF, EPUB and Kindle. Book excerpt: An introduction to a broad range of topics in deep learning, covering mathematical and conceptual background, deep learning techniques used in industry, and research perspectives. “Written by three experts in the field, Deep Learning is the only comprehensive book on the subject.” —Elon Musk, cochair of OpenAI; cofounder and CEO of Tesla and SpaceX Deep learning is a form of machine learning that enables computers to learn from experience and understand the world in terms of a hierarchy of concepts. Because the computer gathers knowledge from experience, there is no need for a human computer operator to formally specify all the knowledge that the computer needs. The hierarchy of concepts allows the computer to learn complicated concepts by building them out of simpler ones; a graph of these hierarchies would be many layers deep. This book introduces a broad range of topics in deep learning. The text offers mathematical and conceptual background, covering relevant concepts in linear algebra, probability theory and information theory, numerical computation, and machine learning. It describes deep learning techniques used by practitioners in industry, including deep feedforward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and practical methodology; and it surveys such applications as natural language processing, speech recognition, computer vision, online recommendation systems, bioinformatics, and videogames. Finally, the book offers research perspectives, covering such theoretical topics as linear factor models, autoencoders, representation learning, structured probabilistic models, Monte Carlo methods, the partition function, approximate inference, and deep generative models. Deep Learning can be used by undergraduate or graduate students planning careers in either industry or research, and by software engineers who want to begin using deep learning in their products or platforms. A website offers supplementary material for both readers and instructors.

Doing Data Science in R

Author : Mark Andrews
Publisher : SAGE
ISBN 13 : 1529752698
Total Pages : 576 pages
Book Rating : 4.5/5 (297 download)

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Book Synopsis Doing Data Science in R by : Mark Andrews

Download or read book Doing Data Science in R written by Mark Andrews and published by SAGE. This book was released on 2021-03-31 with total page 576 pages. Available in PDF, EPUB and Kindle. Book excerpt: This approachable introduction to doing data science in R provides step-by-step advice on using the tools and statistical methods to carry out data analysis. Introducing the fundamentals of data science and R before moving into more advanced topics like Multilevel Models and Probabilistic Modelling with Stan, it builds knowledge and skills gradually. This book: Focuses on providing practical guidance for all aspects, helping readers get to grips with the tools, software, and statistical methods needed to provide the right type and level of analysis their data requires Explores the foundations of data science and breaks down the processes involved, focusing on the link between data science and practical social science skills Introduces R at the outset and includes extensive worked examples and R code every step of the way, ensuring students see the value of R and its connection to methods while providing hands-on practice in the software Provides examples and datasets from different disciplines and locations demonstrate the widespread relevance, possible applications, and impact of data science across the social sciences.

Entity-Relationship Modeling

Author : Bernhard Thalheim
Publisher : Springer Science & Business Media
ISBN 13 : 3662040581
Total Pages : 640 pages
Book Rating : 4.6/5 (62 download)

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Book Synopsis Entity-Relationship Modeling by : Bernhard Thalheim

Download or read book Entity-Relationship Modeling written by Bernhard Thalheim and published by Springer Science & Business Media. This book was released on 2013-03-09 with total page 640 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a comprehensive presentation of entity-relationship (ER) modeling with regard to an integrated development and modeling of database applications. It comprehensively surveys the achievements of research in this field and deals with the ER model and its extensions. In addition, the book presents techniques for the translation of the ER model into classical database models and languages, such as relational, hierarchical, and network models and languages, as well as into object-oriented models.

Modern Robotics

Author : Kevin M. Lynch
Publisher : Cambridge University Press
ISBN 13 : 1107156300
Total Pages : 545 pages
Book Rating : 4.1/5 (71 download)

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Book Synopsis Modern Robotics by : Kevin M. Lynch

Download or read book Modern Robotics written by Kevin M. Lynch and published by Cambridge University Press. This book was released on 2017-05-25 with total page 545 pages. Available in PDF, EPUB and Kindle. Book excerpt: A modern and unified treatment of the mechanics, planning, and control of robots, suitable for a first course in robotics.

Photonic Crystals

Author : John D. Joannopoulos
Publisher : Princeton University Press
ISBN 13 : 1400828244
Total Pages : 305 pages
Book Rating : 4.4/5 (8 download)

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Book Synopsis Photonic Crystals by : John D. Joannopoulos

Download or read book Photonic Crystals written by John D. Joannopoulos and published by Princeton University Press. This book was released on 2011-10-30 with total page 305 pages. Available in PDF, EPUB and Kindle. Book excerpt: Since it was first published in 1995, Photonic Crystals has remained the definitive text for both undergraduates and researchers on photonic band-gap materials and their use in controlling the propagation of light. This newly expanded and revised edition covers the latest developments in the field, providing the most up-to-date, concise, and comprehensive book available on these novel materials and their applications. Starting from Maxwell's equations and Fourier analysis, the authors develop the theoretical tools of photonics using principles of linear algebra and symmetry, emphasizing analogies with traditional solid-state physics and quantum theory. They then investigate the unique phenomena that take place within photonic crystals at defect sites and surfaces, from one to three dimensions. This new edition includes entirely new chapters describing important hybrid structures that use band gaps or periodicity only in some directions: periodic waveguides, photonic-crystal slabs, and photonic-crystal fibers. The authors demonstrate how the capabilities of photonic crystals to localize light can be put to work in devices such as filters and splitters. A new appendix provides an overview of computational methods for electromagnetism. Existing chapters have been considerably updated and expanded to include many new three-dimensional photonic crystals, an extensive tutorial on device design using temporal coupled-mode theory, discussions of diffraction and refraction at crystal interfaces, and more. Richly illustrated and accessibly written, Photonic Crystals is an indispensable resource for students and researchers. Extensively revised and expanded Features improved graphics throughout Includes new chapters on photonic-crystal fibers and combined index-and band-gap-guiding Provides an introduction to coupled-mode theory as a powerful tool for device design Covers many new topics, including omnidirectional reflection, anomalous refraction and diffraction, computational photonics, and much more.

Deductive Software Verification – The KeY Book

Author : Wolfgang Ahrendt
Publisher : Springer
ISBN 13 : 3319498126
Total Pages : 714 pages
Book Rating : 4.3/5 (194 download)

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Book Synopsis Deductive Software Verification – The KeY Book by : Wolfgang Ahrendt

Download or read book Deductive Software Verification – The KeY Book written by Wolfgang Ahrendt and published by Springer. This book was released on 2016-12-19 with total page 714 pages. Available in PDF, EPUB and Kindle. Book excerpt: Static analysis of software with deductive methods is a highly dynamic field of research on the verge of becoming a mainstream technology in software engineering. It consists of a large portfolio of - mostly fully automated - analyses: formal verification, test generation, security analysis, visualization, and debugging. All of them are realized in the state-of-art deductive verification framework KeY. This book is the definitive guide to KeY that lets you explore the full potential of deductive software verification in practice. It contains the complete theory behind KeY for active researchers who want to understand it in depth or use it in their own work. But the book also features fully self-contained chapters on the Java Modeling Language and on Using KeY that require nothing else than familiarity with Java. All other chapters are accessible for graduate students (M.Sc. level and beyond). The KeY framework is free and open software, downloadable from the book companion website which contains also all code examples mentioned in this book.

COVID-19 Pandemic - E-Book

Author : Jorge Hidalgo
Publisher : Elsevier Health Sciences
ISBN 13 : 0323828612
Total Pages : 252 pages
Book Rating : 4.3/5 (238 download)

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Book Synopsis COVID-19 Pandemic - E-Book by : Jorge Hidalgo

Download or read book COVID-19 Pandemic - E-Book written by Jorge Hidalgo and published by Elsevier Health Sciences. This book was released on 2021-05-29 with total page 252 pages. Available in PDF, EPUB and Kindle. Book excerpt: Providing a broad, global view of all aspects related to preparation for and management of SARS-CoV2, COVID-19 Pandemic: Lessons from the Frontline explores and challenges the basis of knowledge, the transmission of information, and the preparation and epidemiology tactics of healthcare systems worldwide. This timely and provocative volume presents real-world viewpoints from leaders in different areas of health management, who address questions such as: What will we do differently if another pandemic comes? Have we learned from our mistakes? Can we do better? This practical, wide-ranging approach also covers the problem of contrasting sources, health system preparedness, effective preparation of and protection offered to individual healthcare professionals, and the human tragedy surrounding the pandemic. Offers a global perspective on how the COVID-19 pandemic was handled, things that went wrong, and things that could be done differently in the future. Covers multiple aspects of the pandemic, including disaster preparedness; perspectives from patients, families, and healthcare providers; inequity of medical resources; risk exposure on the frontline; government decision making; lockdowns; the role of politics; the burden of COVID-19 in various countries worldwide; and future directions. Reflects on the role of professional societies and NGOs in advising governments and supranational organizations. Features a diverse list of contributors, including health decision makers and frontline healthcare personnel.

Active Inference

Author : Thomas Parr
Publisher : MIT Press
ISBN 13 : 0262362287
Total Pages : 313 pages
Book Rating : 4.2/5 (623 download)

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Book Synopsis Active Inference by : Thomas Parr

Download or read book Active Inference written by Thomas Parr and published by MIT Press. This book was released on 2022-03-29 with total page 313 pages. Available in PDF, EPUB and Kindle. Book excerpt: The first comprehensive treatment of active inference, an integrative perspective on brain, cognition, and behavior used across multiple disciplines. Active inference is a way of understanding sentient behavior—a theory that characterizes perception, planning, and action in terms of probabilistic inference. Developed by theoretical neuroscientist Karl Friston over years of groundbreaking research, active inference provides an integrated perspective on brain, cognition, and behavior that is increasingly used across multiple disciplines including neuroscience, psychology, and philosophy. Active inference puts the action into perception. This book offers the first comprehensive treatment of active inference, covering theory, applications, and cognitive domains. Active inference is a “first principles” approach to understanding behavior and the brain, framed in terms of a single imperative to minimize free energy. The book emphasizes the implications of the free energy principle for understanding how the brain works. It first introduces active inference both conceptually and formally, contextualizing it within current theories of cognition. It then provides specific examples of computational models that use active inference to explain such cognitive phenomena as perception, attention, memory, and planning.