Navigating Information Literacy captures a range of skills and topics essential for students who intend positioning themselves in academic or workplace environments that are globally connected and competitive.

The clear, well-structured and informative text leads the reader through all aspects of information literacy and provides practical advice and relevant examples from a variety of international contexts.

Quality assurance is an essential aspect for ensuring the success of corporations worldwide. Consistent quality requirements across organizations of similar types ensure that these requirements can be accurately and easily evaluated. Shaping the Future Through Standardization is an essential scholarly book that examines quality and standardization within diverse organizations globally with a special focus on future perspectives, including how standards and standardization may shape the future. Featuring a wide range of topics such as economics, pedagogy, and management, this book is ideal for academicians, researchers, decision makers, policymakers, managers, corporate professionals, and students.

In recent years, many developing regions across the globe have made rigorous efforts to become integrated into the global information society. The development and implementation of information communication technology (ICT) devices and policies within various fields of service have significantly aided in the infrastructural progression of these countries. Despite these considerable advancements, there remains a lack of research and awareness on this imperative subject. Developing Countries and Technology Inclusion in the 21st Century Information Society is an essential reference source that discusses the adoption and impact of ICT tools in developing areas of the world as well as specific challenges and sustainable uses within various professional fields. Featuring research on topics such as policy development, gender differences, and international business, this book is ideally designed for educators, policymakers, researchers, librarians, practitioners, scientists, government officials, and students seeking coverage on modern applications of ICT services in developing countries.

Everyone wants privacy and security online, something that most computer users have more or less given up on as far as their personal data is concerned. There is no shortage of good encryption software, and no shortage of books, articles and essays that purport to be about how to use it. Yet there is precious little for ordinary users who want just enough information about encryption to use it safely and securely and appropriately--WITHOUT having to become experts in cryptography.

Data encryption is a powerful tool, if used properly. Encryption turns ordinary, readable data into what looks like gibberish, but gibberish that only the end user can turn back into readable data again. The difficulty of encryption has much to do with deciding what kinds of threats one needs to protect against and then using the proper tool in the correct way. It's kind of like a manual transmission in a car: learning to drive with one is easy; learning to build one is hard.

The goal of this title is to present just enough for an average reader to begin protecting his or her data, immediately. Books and articles currently available about encryption start out with statistics and reports on the costs of data loss, and quickly get bogged down in cryptographic theory and jargon followed by attempts to comprehensively list all the latest and greatest tools and techniques. After step-by-step walkthroughs of the download and install process, there's precious little room left for what most readers really want: how to encrypt a thumb drive or email message, or digitally sign a data file.

There are terabytes of content that explain how cryptography works, why it's important, and all the different pieces of software that can be used to do it; there is precious little content available that couples concrete threats to data with explicit responses to those threats. This title fills that niche.

By reading this title readers will be provided with a step by step hands-on guide that includes:

Simple descriptions of actual threat scenarios

Simple, step-by-step instructions for securing data

How to use open source, time-proven and peer-reviewed cryptographic software

Easy to follow tips for safer computing

Unbiased and platform-independent coverage of encryption tools and techniques
Simple descriptions of actual threat scenarios Simple, step-by-step instructions for securing dataHow to use open source, time-proven and peer-reviewed cryptographic software Easy-to-follow tips for safer computing Unbiased and platform-independent coverage of encryption tools and techniques

The discipline of engineering presumes certain foundational truths that are not reducible to mathematical formulas. It presupposes certain things about creativity, beauty, and abstraction in order to operate effectively. In short, engineering relies on philosophy. Conversely, philosophy can draw profound truths from principles derived from engineering experience. Engineering and the Ultimate crosses boundaries between a wide variety of disciplines to find truths both new and old that can be transformative to modern thought and practice.

Make the most of your Mac with this witty, authoritative guide to macOS Big Sur. Apple updates its Mac operating system every year, adding new features with every revision. But after twenty years of this updating cycle without a printed user guide to help customers, feature bloat and complexity have begun to weigh down the works. For thirty years, the Mac faithful have turned to David Pogue's Mac books to guide them. With Mac Unlocked, New York Times bestselling author Pogue introduces readers to the most radical Mac software redesign in Apple history, macOS Big Sur. Beginning Mac users and Windows refugees will gain an understanding of the Mac philosophy; Mac veterans will find a concise guide to what's new in Big Sur, including its stunning visual and sonic redesign, the new Control Center for quick settings changes, and the built-in security auditing features. With a 300 annotated illustrations, sparkling humor, and crystal-clear prose, Mac Unlocked is the new gold-standard guide to the Mac.

Information is a recognized fundamental notion across the sciences and humanities, which is crucial to understanding physical computation, communication, and human cognition. The Philosophy of Information brings together the most important perspectives on information. It includes major technical approaches, while also setting out the historical backgrounds of information as well as its contemporary role in many academic fields. Also, special unifying topics are high-lighted that play across many fields, while we also aim at identifying relevant themes for philosophical reflection. There is no established area yet of Philosophy of Information, and this Handbook can help shape one, making sure it is well grounded in scientific expertise. As a side benefit, a book like this can facilitate contacts and collaboration among diverse academic milieus sharing a common interest in information.
- First overview of the formal and technical issues involved in the philosophy of information
- Integrated presentation of major mathematical approaches to information, form computer science, information theory, and logic
- Interdisciplinary themes across the traditional boundaries of natural sciences, social sciences, and humanities.

Philosophical paradigms, theoretical frameworks, and methodologies make up the answering and problem solving systems that define current research approaches. While there are multiple research method books, the subject lacks an update and integrated source of reference for graduate courses. Research Methodologies, Innovations and Philosophies in Software Systems Engineering and Information Systems aims to advance scientific knowledge on research approaches used in systems engineering, software engineering, and information systems and to update and integrate disperse and valuable knowledge on research approaches. This aims to be a collection of knowledge for PhD students, research-oriented faculty, and instructors of graduate courses.

Across numerous industries in modern society, there is a constant need to gather precise and relevant data efficiently and quickly. As such, it is imperative to research new methods and approaches to increase productivity in these areas. Ontologies and Big Data Considerations for Effective Intelligence is a key source on the latest advancements in multidisciplinary research methods and applications and examines effective techniques for managing and utilizing information resources. Featuring extensive coverage across a range of relevant perspectives and topics, such as visual analytics, spatial databases, retrieval systems, and ontology models, this book is ideally designed for researchers, graduate students, academics, and industry professionals seeking ways to optimize knowledge management processes.

This book is specially designed to refresh and elevate the level of understanding of the foundational background in probability and distributional theory required to be successful in a graduate-level statistics program. Advanced undergraduate students and introductory graduate students from a variety of quantitative backgrounds will benefit from the transitional bridge that this volume offers, from a more generalized study of undergraduate mathematics and statistics to the career-focused, applied education at the graduate level. In particular, it focuses on growing fields that will be of potential interest to future M.S. and Ph.D. students, as well as advanced undergraduates heading directly into the workplace: data analytics, statistics and biostatistics, and related areas.

This book tells the story of radical transparency in a datafied world. It is a story that not only includes the beginnings of WikiLeaks and its endings as a weapon of the GRU, but also exposes numerous other decentralised disclosure networks designed to crack open democracy - for good or ill - that followed in its wake. This is a story that can only be understood through rethinking how technologies of government, practices of media, and assumptions of democracy interact. By combining literatures of governmentality, media studies, and democracy, this illuminating account offers novel insights and critiques of the transparency ideal through its material-political practice. Case studies uncover evolving media practices that, regardless of being scraped from public records or leaked from internal sources, still divulge secrets. The narrative also traces new corporate players such as Clearview AI, the civic-minded ICIJ, and state-based public health disclosures in times of pandemic to reveal how they all form unique proto-institutional instances of disclosure as a technology of government. The analysis of novel forms of digital radical transparency - from a trickle of paper-based leaks to the modern digital .torrent - is grounded in analogues from the analogue past, which combine to tell the whole story of how transparency functions in and helps form democracy.

Quantum Computation and Quantum Information (QIP) deals with the identification and use of quantum resources for information processing. This includes three main branches of investigation: quantum algorithm design, quantum simulation and
quantum communication, including quantum cryptography. Along the past few years, QIP has become one of the most active area of
research in both, theoretical and experimental physics, attracting students and researchers fascinated, not only by the potential
practical applications of quantum computers, but also by the possibility of studying fundamental physics at the deepest level of quantum phenomena.
NMR Quantum Computation and Quantum Information Processing describes the fundamentals of NMR QIP, and the main developments which can lead to a large-scale quantum processor.
The text starts with a general chapter on
the interesting topic of the physics of computation. The very first ideas which sparkled the development of QIP came from basic considerations of the physical processes underlying computational actions. In Chapter 2 it is made an introduction to NMR, including the hardware and other experimental aspects of the technique. In
Chapter 3 we revise the fundamentals of Quantum Computation and Quantum Information. The chapter is very much based on the extraordinary book of Michael A. Nielsen and Isaac L. Chuang, with
an upgrade containing some of the latest developments, such as QIP in phase space, and telecloning. Chapter 4 describes how NMR
generates quantum logic gates from radiofrequency pulses, upon which quantum protocols are built. It also describes the important technique of Quantum State Tomography for both, quadrupole and spin
1/2 nuclei. Chapter 5 describes some of the main experiments of quantum algorithm implementation by NMR, quantum simulation and QIP in phase space. The important issue of entanglement in NMR QIP
experiments is discussed in Chapter 6. This has been a particularly exciting topic in the literature. The chapter contains a discussion
on the theoretical aspects of NMR entanglement, as well as some of the main experiments where this phenomenon is reported. Finally, Chapter 7 is an attempt to address the future of NMR QIP, based in
very recent developments in nanofabrication and single-spin detection experiments. Each chapter is followed by a number of problems and solutions.
* Presents a large number of problems with solutions, ideal for students
* Brings together topics in different areas: NMR, nanotechnology, quantum computation
* Extensive references

The Haifa 2000 Workshop on "Inherently Parallel Algorithms for Feasibility and Optimization and their Applications" brought together top scientists in this area. The objective of the Workshop was to discuss, analyze and compare the latest developments in this fast growing field of applied mathematics and to identify topics of research which are of special interest for industrial applications and for further theoretical study.

Inherently parallel algorithms, that is, computational methods which are, by their mathematical nature, parallel, have been studied in various contexts for more than fifty years. However, it was only during the last decade that they have mostly proved their practical usefulness because new generations of computers made their implementation possible in order to solve complex feasibility and optimization problems involving huge amounts of data via parallel processing. These led to an accumulation of computational experience and theoretical information and opened new and challenging questions concerning the behavior of inherently parallel algorithms for feasibility and optimization, their convergence in new environments and in circumstances in which they were not considered before their stability and reliability. Several research groups all over the world focused on these questions and it was the general feeling among scientists involved in this effort that the time has come to survey the latest progress and convey a perspective for further development and concerted scientific investigations. Thus, the editors of this volume, with the support of the Israeli Academy for Sciences and Humanities, took the initiative of organizing a Workshop intended to bring together the leading scientists in the field. The current volume is the Proceedings of the Workshop representing the discussions, debates and communications that took place. Having all that information collected in a single book will provide mathematicians and engineers interested in the theoretical and practical aspects of the inherently parallel algorithms for feasibility and optimization with a tool for determining when, where and which algorithms in this class are fit for solving specific problems, how reliable they are, how they behave and how efficient they were in previous applications. Such a tool will allow software creators to choose ways of better implementing these methods by learning from existing experience.

In this volume, author Tim Gorichanaz seeks to re-frame the discussion of information engagement through the lens of information experience, an exciting emerging area within information science. Unlike traditional information behavior research, which is limited to how people need, seek, and search for information, information experience looks at how people understand, use, and are shaped by information. In this way, information experience connects with other human-centered areas of information research and design, including information literacy and human-computer interaction. Split into three parts, Information Experience in Theory and Design presents a multifaceted investigation of information experience, centered around the themes of understanding, self, and meaning. Part One (Understanding) explores the link between information, understanding and questioning; how moral change arises from information; and how to design for understanding. Part Two (Self) explores the concept of the human self as information; the links between information, identity and society; and how to design for self-care. Finally, Part Three (Meaning) explores the connection between information and meaning; how meaning and craft contribute to the good life; and how to design for meaning. Offering a rigorous theoretical foundation for information experience and insights for design, Gorichanaz brings together research from across the information field as well as philosophy. For researchers or students in any area of the information field, from librarianship to human-computer interaction, this is an exciting new text investigating a fascinating new field of study.

After critiquing chaos, catastrophe, and complexity theories, showing their limitations in the contemporary era, Rich furthers the development of crisis theory and applies the crisis theory approach to biological and social evolution. Treating evolution in the context of crisis theory, he shows that as evolution is both genetic and social, social evolution is an extension of biological evolution. As physical evolution results from problem solving, social evolution develops from the solving of historically significant problems, bringing about, for instance, the post-World War II era of knowledge. In this context, Rich discusses the problems of our era, with an emphasis on the paradox of industrialization and its consequences for wealthy and poor nations alike. The paradox of industrialization is approached in terms of crisis theory and resolved.

Remote control tuning encourages a form of interactive television using a technology already available in 80 percent of American households. Editors Walker and Bellamy have compiled the first book of state-of-the-art research on a topic of growing interest to media researchers, practitioners, and students. Chapter authors combine survey measurements with recorded observations of viewing behavior, an analysis of the program sources accessed during "grazing," experimental studies of remote control use, and historical and critical analyses. Specific topics include: the history of the remote control device, gender differences in its use, family communication and parental control of the device, remote controls and selective exposure to media messages, the impact of remote controls on programming and promotion, remote controls and critical perspective on television, and future technologies. This volume is rooted in social scientific research, but theoretically and methodologically broad in scope.

This book aims at presenting the field of Quantum Information Theory in an intuitive, didactic and self-contained way, taking into account several multidisciplinary aspects. Therefore, this books is particularly suited to students and researchers willing to grasp fundamental concepts in Quantum Computation and Quantum Information areas. The field of Quantum Information Theory has increased significantly over the last three decades. Many results from classical information theory were translated and extended to a scenario where quantum effects become important. Most of the results in this area allows for an asymptotically small probability of error to represent and transmit information efficiently. Claude E.Shannon was the first scientist to realize that error-free classical information transmission can be accomplished under certain conditions. More recently, the concept of error-free classical communication was translated to the quantum context. The so-called Quantum Zero-Error Information Theory completes and extends the Shannon Zero-Error Information Theory.

Deal with information and uncertainty properly and efficiently using tools emerging from generalized information theory
Uncertainty and Information: Foundations of Generalized Information Theory contains comprehensive and up-to-date coverage of results that have emerged from a research program begun by the author in the early 1990s under the name "generalized information theory" (GIT). This ongoing research program aims to develop a formal mathematical treatment of the interrelated concepts of uncertainty and information in all their varieties. In GIT, as in classical information theory, uncertainty (predictive, retrodictive, diagnostic, prescriptive, and the like) is viewed as a manifestation of information deficiency, while information is viewed as anything capable of reducing the uncertainty. A broad conceptual framework for GIT is obtained by expanding the formalized language of classical set theory to include more expressive formalized languages based on fuzzy sets of various types, and by expanding classical theory of additive measures to include more expressive non-additive measures of various types.
This landmark book examines each of several theories for dealing with particular types of uncertainty at the following four levels:
* Mathematical formalization of the conceived type of uncertainty
* Calculus for manipulating this particular type of uncertainty
* Justifiable ways of measuring the amount of uncertainty in any situation formalizable in the theory
* Methodological aspects of the theory
With extensive use of examples and illustrations to clarify complex material and demonstrate practical applications, generous historical and bibliographical notes, end-of-chapter exercises to test readers' newfound knowledge, glossaries, and an Instructor's Manual, this is an excellent graduate-level textbook, as well as an outstanding reference for researchers and practitioners who deal with the various problems involving uncertainty and information.An Instructor's Manual presenting detailed solutions to all the problems in the book is available from the Wiley editorial department.