In this volume, experts analyze the global governance of electronic networks, emphasizing international power dynamics and the concerns of nondominant actors. Each chapter concludes with a set of policy recommendations for the promotion of an open, dynamic and more equitable networld order.
This volume presents a timely and comprehensive overview of biological networks at all organization levels in the spirit of the complex system approach. It discusses the transversal issues and fundamental principles as well as the overall structure, dynamics, and modeling of a wide array of biological networks at the molecular, cellular, and population levels. Anchored in both empirical data and a strong theoretical background, the book therefore lends valuable credence to the complex systems approach.
The Chesapeake Bay is one of the most productive and important ecosystems on earth, and as such is a model for other estuaries facing the demands of commerce, tourism, transportation, recreation, and other uses. Turning the Tide presents a comprehensive look at two decades of efforts to save the bay, outlining which methods have worked and which have not.
This ambitious multidisciplinary volume assembles diverse critical-theory approaches to the current and future states of networked learning. Expert contributors expand upon the existing literature by analyzing the ethical aspects of networked learning and the ongoing need for more open, inclusive, and socially engaged educational practice. Chapters explore in depth evolving concepts of real and virtual, the processes of learning in, against, and beyond the internet, and the role of critical pedagogy in improving social conditions. In all, coverage is both realistic and positive about the potential of digital technologies in higher education as well as social and academic challenges on the horizon. Included among the topics: Counting on use of technology to enhance learning. Decentralized networked learning through online pre-publication. The reality of the online teacher. Moving from urban to virtual spaces and back. The project of a virtual emancipatory pedagogy. Using information technologies in the service of humanity. It is no longer a question of "Can technology enhance learning" it's a given that it does. Critical Learning in Digital Networks offers education researchers, teacher educators, instructional technologists, and instructional designers tools and methods for strengthening this increasingly vital interconnection.
So you want to homeschool but don’t think you can afford it. This book is a compendium of ideas for the family that wants to start or continue homeschooling on a tight budget. You’ll find it all here: • Ideas for making money while staying at home. • Sources for an inexpensive curriculum. • Thousands of ideas for affordable teaching tools. • Hundreds of suggestions for low-cost field trips. • Ways to save on everything from housing to utilities. • Ways to get free or low-cost computers.
Combining and integrating cross-institutional data remains a challenge for both researchers and those involved in patient care. Patient-generated data can contribute precious information to healthcare professionals by enabling monitoring under normal life conditions and also helping patients play a more active role in their own care. This book presents the proceedings of MEDINFO 2019, the 17th World Congress on Medical and Health Informatics, held in Lyon, France, from 25 to 30 August 2019. The theme of this year’s conference was ‘Health and Wellbeing: E-Networks for All’, stressing the increasing importance of networks in healthcare on the one hand, and the patient-centered perspective on the other. Over 1100 manuscripts were submitted to the conference and, after a thorough review process by at least three reviewers and assessment by a scientific program committee member, 285 papers and 296 posters were accepted, together with 47 podium abstracts, 7 demonstrations, 45 panels, 21 workshops and 9 tutorials. All accepted paper and poster contributions are included in these proceedings. The papers are grouped under four thematic tracks: interpreting health and biomedical data, supporting care delivery, enabling precision medicine and public health, and the human element in medical informatics. The posters are divided into the same four groups. The book presents an overview of state-of-the-art informatics projects from multiple regions of the world; it will be of interest to anyone working in the field of medical informatics.
This book is useful for administrators of different levels involved in counteracting COVID-19, surveillance professionals, clinicians, researchers specializing in epidemiology, microbiology, and infectious diseases, and politicians / legislators engaged in public health sector. We use an innovative approach of combining both epidemiological and sociological analyses, as the very problem is mainly an issue of correct governance. A team of authors from Europe, Russia and China summarizes their experience and knowledge useful for containing SARS-CoV-2 and overcoming social and managerial consequences of the pandemic. The editors are sure that sharing our different experience would help to elaborate necessary strategies, protocols, and principles that may be effectively applied in the future to avoid dramatic consequences of not only COVID-19 but also any possible epidemiological hazards for people and medicine.
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.
This very provocative book takes the reader on a “think-out-of-the-box” journey through the development of a treatment regimen for multiple myeloma called “dtZ”. It is a firsthand account of how more than 50 patients with myeloma were given a non-toxic, precisely-targeted, anti-cancer treatment that was specifically adapted to their individual cancers. These Individualized Anti-Cancer Targeted Therapies (smart bombs) have produced amongst the best responses as well as survival rates for myeloma. Accordingly, the author argues that some patients might even have been “cured” of their cancers.The concepts and logic behind “dtZ” are carefully presented in simple language so that both doctors and patients can easily understand them. Numerous tables and figures are provided, together with clear and simple explanations. This book is a valuable resource for all patients with myeloma who want to get the most out of their treatment by individualizing treatment to suit their needs, particularly for patients who have just been diagnosed with myeloma and who are taking that very important first step in their treatment. It is also a useful guide for doctors, nurses and researchers who treat and/or study myeloma.