Lithium-ion Batteries PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Lithium-ion Batteries PDF full book. Access full book title Lithium-ion Batteries by . Download full books in PDF and EPUB format.
Author:
Publisher:
ISBN: 9783030168001
Category : Lithium ion batteries
Languages : en
Pages : 247
Get Book Here
Book Description
"This is the first machine-generated scientific book in chemistry published by Springer Nature. Serving as an innovative prototype defining the current status of the technology, it also provides an overview about the latest trends of lithium-ion batteries research. This book explores future ways of informing researchers and professionals. State-of-the-art computer algorithms were applied to: select relevant sources from Springer Nature publications, arrange these in a topical order, and provide succinct summaries of these articles. The result is a cross-corpora auto-summarization of current texts, organized by means of a similarity-based clustering routine in coherent chapters and sections. This book summarizes more than 150 research articles published from 2016 to 2018 and provides an informative and concise overview of recent research into anode and cathode materials as well as further aspects such as separators, polymer electrolytes, thermal behavior and modelling. With this prototype, Springer Nature has begun an innovative journey to explore the field of machine-generated content and to find answers to the manifold questions on this fascinating topic. Therefore it was intentionally decided not to manually polish or copy-edit any of the texts so as to highlight the current status and remaining boundaries of machine-generated content. Our goal is to initiate a broad discussion, together with the research community and domain experts, about the future opportunities, challenges and limitations of this technology."--Publisher's website.
Author:
Publisher:
ISBN: 9783030168001
Category : Lithium ion batteries
Languages : en
Pages : 247
Get Book Here
Book Description
"This is the first machine-generated scientific book in chemistry published by Springer Nature. Serving as an innovative prototype defining the current status of the technology, it also provides an overview about the latest trends of lithium-ion batteries research. This book explores future ways of informing researchers and professionals. State-of-the-art computer algorithms were applied to: select relevant sources from Springer Nature publications, arrange these in a topical order, and provide succinct summaries of these articles. The result is a cross-corpora auto-summarization of current texts, organized by means of a similarity-based clustering routine in coherent chapters and sections. This book summarizes more than 150 research articles published from 2016 to 2018 and provides an informative and concise overview of recent research into anode and cathode materials as well as further aspects such as separators, polymer electrolytes, thermal behavior and modelling. With this prototype, Springer Nature has begun an innovative journey to explore the field of machine-generated content and to find answers to the manifold questions on this fascinating topic. Therefore it was intentionally decided not to manually polish or copy-edit any of the texts so as to highlight the current status and remaining boundaries of machine-generated content. Our goal is to initiate a broad discussion, together with the research community and domain experts, about the future opportunities, challenges and limitations of this technology."--Publisher's website.
Author: José María Cavanillas
Publisher: Springer
ISBN: 3319215698
Category : Computers
Languages : en
Pages : 312
Get Book Here
Book Description
In this book readers will find technological discussions on the existing and emerging technologies across the different stages of the big data value chain. They will learn about legal aspects of big data, the social impact, and about education needs and requirements. And they will discover the business perspective and how big data technology can be exploited to deliver value within different sectors of the economy. The book is structured in four parts: Part I “The Big Data Opportunity” explores the value potential of big data with a particular focus on the European context. It also describes the legal, business and social dimensions that need to be addressed, and briefly introduces the European Commission’s BIG project. Part II “The Big Data Value Chain” details the complete big data lifecycle from a technical point of view, ranging from data acquisition, analysis, curation and storage, to data usage and exploitation. Next, Part III “Usage and Exploitation of Big Data” illustrates the value creation possibilities of big data applications in various sectors, including industry, healthcare, finance, energy, media and public services. Finally, Part IV “A Roadmap for Big Data Research” identifies and prioritizes the cross-sectorial requirements for big data research, and outlines the most urgent and challenging technological, economic, political and societal issues for big data in Europe. This compendium summarizes more than two years of work performed by a leading group of major European research centers and industries in the context of the BIG project. It brings together research findings, forecasts and estimates related to this challenging technological context that is becoming the major axis of the new digitally transformed business environment.
Author: Gareth James
Publisher: Springer Nature
ISBN: 3031387473
Category : Mathematics
Languages : en
Pages : 617
Get Book Here
Book Description
An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data sets that have emerged in fields ranging from biology to finance, marketing, and astrophysics in the past twenty years. This book presents some of the most important modeling and prediction techniques, along with relevant applications. Topics include linear regression, classification, resampling methods, shrinkage approaches, tree-based methods, support vector machines, clustering, deep learning, survival analysis, multiple testing, and more. Color graphics and real-world examples are used to illustrate the methods presented. This book is targeted at statisticians and non-statisticians alike, who wish to use cutting-edge statistical learning techniques to analyze their data. Four of the authors co-wrote An Introduction to Statistical Learning, With Applications in R (ISLR), which has become a mainstay of undergraduate and graduate classrooms worldwide, as well as an important reference book for data scientists. One of the keys to its success was that each chapter contains a tutorial on implementing the analyses and methods presented in the R scientific computing environment. However, in recent years Python has become a popular language for data science, and there has been increasing demand for a Python-based alternative to ISLR. Hence, this book (ISLP) covers the same materials as ISLR but with labs implemented in Python. These labs will be useful both for Python novices, as well as experienced users.
Author: Marilyn H. Oermann, PhD, RN, ANEF, FAAN
Publisher: Springer Publishing Company
ISBN: 0826147216
Category : Medical
Languages : en
Pages : 386
Get Book Here
Book Description
Designated a Doody's Core Title! “Writing for publication is essential for disseminating nursing knowledge, and this book will surely prepare budding authors and serve as a resource for experienced authors. It is a great reference for authors at all levels." Score: 100, Five Stars --Doody's Medical Reviews This in-depth resource on writing for nurses—clinicians, graduate students, researchers, and faculty—guides users through the entire process of writing evidence-based research papers and journal articles, disseminating clinical project findings and innovations, and preparing manuscripts for publication. The completely updated fourth edition expands the content on conducting and writing systematic, integrative, and literature reviews; disseminating evidence and writing papers on clinical topics; and reporting quality-improvement studies. It provides new examples of excellent writing from a varied selection of nursing journals. Woven throughout is an explanation of current writing guidelines for research such as CONSORT and PRISMA. Also included are electronic versions of useful forms and updated web resources relevant to each chapter. Chapters feature helpful tables, figures, and illustrations; learner exercises to guide development of competencies; and discussion topics designed to address the variety of challenges posed when writing for publication. The print version of the book includes searchable digital access to entire contents. New to the Fourth Edition: Updated chapters and new examples from a wide variety of nursing journals Expanded content on conducting and writing systematic, integrative, and literature reviews Guidelines for reporting different types of research Criteria for evaluating the quality of a nursing journal and avoiding predatory journals Examination of open-access journal markets Strategies for interprofessional collaboration Updated content on quality-improvement reporting Tips to avoid plagiarism Guidance on writing case studies, case reports, policy papers, and articles Expanded discussion and examples of searchable databases Electronic versions of useful forms Updated web resources in each chapter and in an appendix Key Features: Takes the reader step by step through the entire process of writing for publication Covers conducting and writing a literature review and writing research, review, quality-improvement, evidencebased practice, and clinical practice articles Delivers strategies for writing all types of journal articles, chapters, books, and other forms of writing Includes tips for turning dissertations, DNP projects, and course assignments into manuscripts Details the submission, editorial review, and publication processes Includes a module for online courses in each chapter Includes Instructor’s Manual, PowerPoints, and sample syllabus
Author: Pushpendra Singh
Publisher: Springer Nature
ISBN: 9811696772
Category : Technology & Engineering
Languages : en
Pages : 255
Get Book Here
Book Description
The book outlines a pathway to the development of fusion of electromagnetic resonance and artificial intelligence which will dominate the world of communication engineering. Electromagnetic resonance is fundamental to all biomaterials. The authors explore the peculiarities of this typical resonance behaviour in the literatures and provide the key points where the research should direct. Biological antennas are inspiring designing of several electromagnetic devices. From biomimetic engineering to humanoid bots a revolution is undergoing. Authors include entire development in the form of a book along with their contribution to this field.
Author: Léo-Paul Dana
Publisher: Springer Nature
ISBN: 3030970604
Category : Business & Economics
Languages : en
Pages : 258
Get Book Here
Book Description
This book reveals a variety of issues facing entrepreneurs, SMEs, and entrepreneurship development across South America. The authors recognize that when it comes to entrepreneurship, not one size fits all. Therefore, this book has been designed to help business students understand the context of the enterprise. It highlights how countries differ in their scope of entrepreneurship, and how entrepreneurs are impacted by these differences. Each chapter is dedicated to a respective country and describes the status quo, challenges and prospects for entrepreneurship there. Specifically, the book helps students understand the nature of entrepreneurship in Argentina, Bolivia, Chile, Colombia, Ecuador, French Guiana, Guyana, Paraguay, Peru, Surinam, Uruguay and Venezuela.
Author: Wyatt Williams
Publisher: UNC Press Books
ISBN: 1469665492
Category : Cooking
Languages : en
Pages : 97
Get Book Here
Book Description
Drawing on years of investigative reporting, Wyatt Williams offers a powerful look at why we kill and eat animals. In order to understand why we eat meat, the restaurant critic and journalist investigated factory farms, learned to hunt game, worked on a slaughterhouse kill floor, and partook in Indigenous traditions of whale eating in Alaska. In Springer Mountain, he tells about his experiences while charting the history of meat eating and vegetarianism. Williams shows how mysteries springing up from everyday experiences can lead us into the big questions of life while examining the irreconcilable differences between humans and animals. Springer Mountain is a thought-provoking work, one that reveals how what we eat tells us who we are.
Author: James Martell
Publisher: Springer Nature
ISBN: 3030865665
Category : Social Science
Languages : en
Pages : 365
Get Book Here
Book Description
The essays collected in Tattooed Bodies draw on a range of theoretical paradigms and empirical knowledge to investigate tattoos, tattooing, and our complex relations with marks on skin. Engaging with diverse disciplinary perspectives in art history, continental philosophy, media studies, psychoanalysis, critical theory, literary studies, biopolitics, and cultural anthropology, the volume reflects the sheer diversity of meanings attributed to tattoos throughout history and across cultures. Essays explore conceptualizations of tattoos and tattooing in Derrida, Deleuze and Guattari, Lacan, Agamben, and Jean-Luc Nancy, while utilizing theoretical perspectives to interpret tattoos in literary works by Melville, Beckett, Kafka, Genet, and Jeff VanderMeer, among others. Tattooed Bodies prompts readers to explore a few significant questions: Are tattoos unique phenomena or an art medium in need of special theoretical exploration? If so, what conceptual paradigms and theories might best shape our understanding of tattoos and their complex ubiquity in world cultures and histories?
Author: Sharron J. Lennon
Publisher: Bloomsbury Publishing USA
ISBN: 1501313576
Category : Social Science
Languages : en
Pages : 400
Get Book Here
Book Description
Social Psychology of Dress presents and explains the major theories and concepts that are important to understanding relationships between dress and human behavior. These concepts and theories are derived from such disciplines as sociology, psychology, anthropology, communication, and textiles and clothing. Information presented will provide summaries of empirical research, as well as examples from current events or popular culture. The book provides a broad-based and inclusive discussion of the social psychology of dress, including: - The study of dress and how to do it - Cultural topics such as cultural patterns including technology, cultural complexity, normative order, aesthetics, hygiene, ethnicity, ritual - Societal topics such as family, economy-occupation, social organizations and sports, fraternal organizations - Individual-focused theories on deviance, personality variables, self, values, body image and social cognition - Coverage of key theories related to dress and identity provide a strong theoretical foundation for further research Unique chapter features bring in industry application and current events. The end-of-chapter summaries, discussion questions and activities give students opportunities to study and research dress. Teaching resources including an instructor's guide, test bank and PowerPoint presentations with full-color versions of images from the textbook. Social Psychology of Dress STUDIO - Study smarter with self-quizzes featuring scored results and personalized study tips - Review concepts with flashcards of essential vocabulary - Download worksheets to complete chapter activities
Author: Larry Wasserman
Publisher: Springer Science & Business Media
ISBN: 0387217363
Category : Mathematics
Languages : en
Pages : 446
Get Book Here
Book Description
Taken literally, the title "All of Statistics" is an exaggeration. But in spirit, the title is apt, as the book does cover a much broader range of topics than a typical introductory book on mathematical statistics. This book is for people who want to learn probability and statistics quickly. It is suitable for graduate or advanced undergraduate students in computer science, mathematics, statistics, and related disciplines. The book includes modern topics like non-parametric curve estimation, bootstrapping, and classification, topics that are usually relegated to follow-up courses. The reader is presumed to know calculus and a little linear algebra. No previous knowledge of probability and statistics is required. Statistics, data mining, and machine learning are all concerned with collecting and analysing data.
