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Author: Jules J. Berman
Publisher: Elsevier
ISBN: 0128029153
Category : Computers
Languages : en
Pages : 169
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Book Description
Repurposing Legacy Data: Innovative Case Studies takes a look at how data scientists have re-purposed legacy data, whether their own, or legacy data that has been donated to the public domain. Most of the data stored worldwide is legacy data—data created some time in the past, for a particular purpose, and left in obsolete formats. As with keepsakes in an attic, we retain this information thinking it may have value in the future, though we have no current use for it. The case studies in this book, from such diverse fields as cosmology, quantum physics, high-energy physics, microbiology, psychiatry, medicine, and hospital administration, all serve to demonstrate how innovative people draw value from legacy data. By following the case examples, readers will learn how legacy data is restored, merged, and analyzed for purposes that were never imagined by the original data creators. - Discusses how combining existing data with other data sets of the same kind can produce an aggregate data set that serves to answer questions that could not be answered with any of the original data - Presents a method for re-analyzing original data sets using alternate or improved methods that can provide outcomes more precise and reliable than those produced in the original analysis - Explains how to integrate heterogeneous data sets for the purpose of answering questions or developing concepts that span several different scientific fields
Author: Jules J. Berman
Publisher: Elsevier
ISBN: 0128029153
Category : Computers
Languages : en
Pages : 169
Get Book Here
Book Description
Repurposing Legacy Data: Innovative Case Studies takes a look at how data scientists have re-purposed legacy data, whether their own, or legacy data that has been donated to the public domain. Most of the data stored worldwide is legacy data—data created some time in the past, for a particular purpose, and left in obsolete formats. As with keepsakes in an attic, we retain this information thinking it may have value in the future, though we have no current use for it. The case studies in this book, from such diverse fields as cosmology, quantum physics, high-energy physics, microbiology, psychiatry, medicine, and hospital administration, all serve to demonstrate how innovative people draw value from legacy data. By following the case examples, readers will learn how legacy data is restored, merged, and analyzed for purposes that were never imagined by the original data creators. - Discusses how combining existing data with other data sets of the same kind can produce an aggregate data set that serves to answer questions that could not be answered with any of the original data - Presents a method for re-analyzing original data sets using alternate or improved methods that can provide outcomes more precise and reliable than those produced in the original analysis - Explains how to integrate heterogeneous data sets for the purpose of answering questions or developing concepts that span several different scientific fields
Author: Lisa Occhipinti
Publisher: Abrams
ISBN: 1683355997
Category : Crafts & Hobbies
Languages : en
Pages : 233
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Book Description
“How-to instructions on crafting with books . . . will inspire you to think about creative ways to make new treasures out of old things” (The Virginian-Pilot). We all love to read and learn from books, but The Repurposed Library takes our passion even further, presenting us with thirty-three projects to make—quite literally—out of books. For these projects, Lisa Occhipinti rescues and repurposes orphaned and outdated books from flea markets and library sales and turns them into new art objects and practical items for the home. Her creations range from artfully constructed mobiles, wreaths, and vases, to functional items like shelves, storage boxes, and even a Kindle “keeper” for those who want to replicate the sensation of holding a “real” book while reading from an e-reader. Projects utilize every imaginable part of a book—from hardback cover to individual pages—and are a DIY celebration of a new way to view a book’s potential. “Occhipinti’s ‘repurposed’ books are truly beautiful art objects, and whether or not you’re crafty enough to give them a try yourself, her book is thoroughly enjoyable.” —Fine Books and Collections “She shows readers how to transform books into mobiles, lamp shades, even clocks.” —National Post
Author: Nancy D. Courtney
Publisher: Bloomsbury Publishing USA
ISBN: 159158941X
Category : Language Arts & Disciplines
Languages : en
Pages : 181
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Book Description
In this valuable book, 11 chapters each overview a technology of interest to librarians working in the field today. From cloud computing to data curation to open-source software, the world of technology offers great opportunity—and potential frustration. Nancy Courtney and her team of IT experts have set out to enhance the former and alleviate the latter. More Technology for the Rest of Us: A Second Primer on Computing for the Non-IT Librarian follows up on Courtney's 2005 technology volume by tackling the most recent advances in IT. Each chapter describes a technology important to the library field, explains how it works in terms a non-IT professional can understand, and describes its uses. The essays in More Technology for the Rest of Us are not meant to make readers experts, but to provide a basic introduction to some of the current technologies impacting libraries and their patrons. Articles are brief and clearly written, and computer jargon is defined and explained. Each chapter lists references for further information, and there is a selected bibliography and glossary at the end of the book.
Author: Farid A. Badria
Publisher: BoD – Books on Demand
ISBN: 1839685204
Category : Medical
Languages : en
Pages : 236
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Book Description
Drug repurposing or drug repositioning is a new approach to presenting new indications for common commercial and clinically approved existing drugs. For example, chloroquine, an old antimalarial drug, showed promising results for treating COVID-19, interfering with MDR in several types of cancer, and chemosensitizing human leukemic cells.This book focuses on the hypothesis, risk/benefits, and economic impacts of drug repurposing on drug discovery in dermatology, infectious diseases, neurological disorders, cancer, and orphan diseases. It brings together up-to-date research to provide readers with an informative, illustrative, and easy-to-read book useful for students, clinicians, and the pharmaceutical industry.
Author: Bren Neale
Publisher: SAGE
ISBN: 1526455153
Category : Social Science
Languages : en
Pages : 416
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Book Description
Brimming with life maps, life history calendars, and extracts from transcripts and diaries, this book illustrates by example the unique principles, challenges, and applications of qualitative longitudinal research. Synthesizing current literature on qualitative longitudinal research, it brings together sociological theory and empirically driven longitudinal studies while also highlighting a range of possible research approaches. With a consistent balance of conceptual discussions with hands-on advice, it provides readers with the foundation to adapt lessons-learned from other researchers to fit their own qualitative longitudinal studies. Supported by research tools such as conceptual road maps, short data extracts, consent forms, and other data organization tools, this book provides everything postgraduate researchers need to transition from the classroom to the field.
Author: Eric Monteiro
Publisher: MIT Press
ISBN: 0262372290
Category : Technology & Engineering
Languages : en
Pages : 229
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Book Description
How is digitalization of the offshore oil industry fundamentally changing how we understand work and ways of knowing? Digitalization sits at the forefront of public and academic conversation today, calling into question how we work and how we know. In Digital Oil, Eric Monteiro uses the Norwegian offshore oil and gas industry as a lens to investigate the effects of digitalization on embodied labor, and in doing so shows how our use of new digital technology transforms work and knowing. For years, roughnecks have performed the dangerous and unwieldy work of extracting the oil that lies three miles below the seabed along the Norwegian Continental Shelf. Today, the Norwegian oil industry is largely digital, operated by sensors and driven by data. Digital representations of physical processes inform work practices and decision-making with remotely operated, unmanned deep-sea facilities. Drawing on two decades of in-depth interviews, observations, news clips, and studies of this industry, Eric Monteiro dismantles the divide between the virtual and the physical in Digital Oil. What is gained or lost when objects and processes become algorithmic phenomena with the digital inferred from the physical? How can data-driven work practices and operational decision-making approximate qualitative interpretation, professional judgement, and evaluation? How are emergent digital platforms and infrastructures, as machineries of knowing, enabling digitalization? In answering these questions Monteiro offers a novel analysis of digitalization as an effort to press the limits of quantification of the qualitative.
Author: Jules J. Berman
Publisher: Academic Press
ISBN: 0128156104
Category : Technology & Engineering
Languages : en
Pages : 482
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Book Description
Principles and Practice of Big Data: Preparing, Sharing, and Analyzing Complex Information, Second Edition updates and expands on the first edition, bringing a set of techniques and algorithms that are tailored to Big Data projects. The book stresses the point that most data analyses conducted on large, complex data sets can be achieved without the use of specialized suites of software (e.g., Hadoop), and without expensive hardware (e.g., supercomputers). The core of every algorithm described in the book can be implemented in a few lines of code using just about any popular programming language (Python snippets are provided). Through the use of new multiple examples, this edition demonstrates that if we understand our data, and if we know how to ask the right questions, we can learn a great deal from large and complex data collections. The book will assist students and professionals from all scientific backgrounds who are interested in stepping outside the traditional boundaries of their chosen academic disciplines. - Presents new methodologies that are widely applicable to just about any project involving large and complex datasets - Offers readers informative new case studies across a range scientific and engineering disciplines - Provides insights into semantics, identification, de-identification, vulnerabilities and regulatory/legal issues - Utilizes a combination of pseudocode and very short snippets of Python code to show readers how they may develop their own projects without downloading or learning new software
Author: Jules J. Berman
Publisher: Morgan Kaufmann
ISBN: 0128038543
Category : Computers
Languages : en
Pages : 400
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Book Description
Data Simplification: Taming Information With Open Source Tools addresses the simple fact that modern data is too big and complex to analyze in its native form. Data simplification is the process whereby large and complex data is rendered usable. Complex data must be simplified before it can be analyzed, but the process of data simplification is anything but simple, requiring a specialized set of skills and tools. This book provides data scientists from every scientific discipline with the methods and tools to simplify their data for immediate analysis or long-term storage in a form that can be readily repurposed or integrated with other data. Drawing upon years of practical experience, and using numerous examples and use cases, Jules Berman discusses the principles, methods, and tools that must be studied and mastered to achieve data simplification, open source tools, free utilities and snippets of code that can be reused and repurposed to simplify data, natural language processing and machine translation as a tool to simplify data, and data summarization and visualization and the role they play in making data useful for the end user. - Discusses data simplification principles, methods, and tools that must be studied and mastered - Provides open source tools, free utilities, and snippets of code that can be reused and repurposed to simplify data - Explains how to best utilize indexes to search, retrieve, and analyze textual data - Shows the data scientist how to apply ontologies, classifications, classes, properties, and instances to data using tried and true methods
Author: Jules J. Berman
Publisher: Academic Press
ISBN: 0323972586
Category : Computers
Languages : en
Pages : 446
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Book Description
Classification Made Relevant: How Scientists Build and Use Classifications and Ontologies explains how classifications and ontologies are designed and used to analyze scientific information. The book presents the fundamentals of classification, leading up to a description of how computer scientists use object-oriented programming languages to model classifications and ontologies. Numerous examples are chosen from the Classification of Life, the Periodic Table of the Elements, and the symmetry relationships contained within the Classification Theorem of Finite Simple Groups. When these three classifications are tied together, they provide a relational hierarchy connecting all of the natural sciences. The book's chapters introduce and describe general concepts that can be understood by any intelligent reader. With each new concept, they follow practical examples selected from various scientific disciplines. In these cases, technical points and specialized vocabulary are linked to glossary items where the item is clarified and expanded. - Explains the theory and practice of classification, emphasizing the importance of classifications and ontologies to the modern fields of mathematics, physics, chemistry, biology and medicine - Includes numerous real-world examples that demonstrate how bad construction technique can destroy the value of classifications and ontologies - Explains how we define and understand the relationships among the classes within a classification and how the properties of a class are inherited by its subclasses - Describes ontologies and how they differ from classifications and explains conditions under which ontologies are useful
Author: Jules J. Berman
Publisher: Academic Press
ISBN: 012817577X
Category : Science
Languages : en
Pages : 402
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Book Description
Taxonomic Guide to Infectious Diseases: Understanding the Biologic Classes of Pathogenic Organisms, Second Edition tackles the complexity of clinical microbiology by assigning every infectious organism to one of 40+ taxonomic classes and providing a description of the defining traits that apply to all the organisms within each class. This edition is an updated, revised and greatly expanded guide to the classes of organisms that infect humans. This book will provide students and clinicians alike with a simplified way to understand the complex fields of clinical microbiology and parasitology. - Focuses on human disease processes and includes numerous clinical tips for healthcare providers - Describes the principles of classification and explains why the science of taxonomy is vital to the fields of bioinformatics and modern disease research - Provides images of prototypical organisms for taxonomic classes - Includes a section that lists common taxonomic pitfalls and how they can be avoided
