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Sixteenth Marcel Grossmann Meeting, The: On Recent Developments In Theoretical And Experimental General Relativity, Astrophysics, And Relativistic Field Theories - Proceedings Of The Mg16 Meeting On General Relativity (In 4 Volumes)
The proceedings of MG16 give a broad view of all aspects of gravitational physics and astrophysics, from mathematical issues to recent observations and experiments. The scientific program of the meeting included 46 plenary presentations, 3 public lectures, 5 round tables and 81 parallel sessions arranged during the intense six-day online meeting. All talks were recorded and are available on the ICRANet YouTube channel at the following link: www.icranet.org/video_mg16.These proceedings are a representative sample of the very many contributions made at the meeting. They contain 383 papers, among which 14 come from the plenary sessions.The material represented in these proceedings cover the fol...
Fundamentals of Nuclear Physics
Fundamentals of Nuclear Physics gives elementary understanding of nuclear and particle physics. The textbook offers an overview of the subject, providing students with a basic understanding about 1) the atomic structure and the nucleus, 2) equipment such as particle detectors, particle accelerators, and nuclear reactors, 3) radioactivity, and 4) elementary particles. Each chapter provides fundamental theoretical and experimental knowledge required for students to strengthen their concepts. Other key features of the book include: - Structured chapters designed for easy reading and stimulating interest for learners - Sophisticated figures - Thoroughly solved equations - Bibliographic references for further reading - Updated information about different types of nuclear reactors - Information about nuclear astrophysics Fundamentals of Nuclear Physics is suitable for introductory undergraduate courses in nuclear physics as well as more innovative courses geared towards nuclear engineering.
Emerging Networking in the Digital Transformation Age
This book covers a range of leading-edge topics. It is suitable for teaching specialists for advanced lectures in the domains of systems architecture and distributed platforms. Furthermore, it serves as a basis for undergraduates as well as an inspiration for interesting postgraduates, looking for new challenges. It addresses a holistic view of QoS, which becomes nowadays via Digital Transformations less technically and more socially driven. This includes IoT, energy efficiency, secure transactions, blockchains, and smart contracting. Under the term Emerging Networking (EmN), we cover the steadily growing diversity of smart mobile and robotic apps and unmanned scenarios (UAV). EmN supports d...
Applied Survival Analysis Using R
Applied Survival Analysis Using R covers the main principles of survival analysis, gives examples of how it is applied, and teaches how to put those principles to use to analyze data using R as a vehicle. Survival data, where the primary outcome is time to a specific event, arise in many areas of biomedical research, including clinical trials, epidemiological studies, and studies of animals. Many survival methods are extensions of techniques used in linear regression and categorical data, while other aspects of this field are unique to survival data. This text employs numerous actual examples to illustrate survival curve estimation, comparison of survivals of different groups, proper account...
Advances in Industrial Crystallization
This Special Issue is result of a call for papers of the Section Industrial Crystallization of MDPI’s scientific journal Crystals. It addresses scientists and engineers active in research and process & product development in life-science industries (e.g. pharmaceuticals, fine chemicals and biotechnology products) and bulk chemical applications (e.g. desalination) as well. The contributions comprise several fundamental and application-oriented facets of crystallization providing an overview of industrially relevant subjects in the field. Main issues cover phase equilibria and solid-state behavior of crystalline compounds, crystal shape and size and related measurement techniques. Melt and solution crystallization are considered specifically addressing contemporary aspects of continuous crystallization and process intensification.
Six Sigma with R
Six Sigma has arisen in the last two decades as a breakthrough Quality Management Methodology. With Six Sigma, we are solving problems and improving processes using as a basis one of the most powerful tools of human development: the scientific method. For the analysis of data, Six Sigma requires the use of statistical software, being R an Open Source option that fulfills this requirement. R is a software system that includes a programming language widely used in academic and research departments. Nowadays, it is becoming a real alternative within corporate environments. The aim of this book is to show how R can be used as the software tool in the development of Six Sigma projects. The book includes a gentle introduction to Six Sigma and a variety of examples showing how to use R within real situations. It has been conceived as a self contained piece. Therefore, it is addressed not only to Six Sigma practitioners, but also to professionals trying to initiate themselves in this management methodology. The book may be used as a text book as well.
Data Wrangling with R
This guide for practicing statisticians, data scientists, and R users and programmers will teach the essentials of preprocessing: data leveraging the R programming language to easily and quickly turn noisy data into usable pieces of information. Data wrangling, which is also commonly referred to as data munging, transformation, manipulation, janitor work, etc., can be a painstakingly laborious process. Roughly 80% of data analysis is spent on cleaning and preparing data; however, being a prerequisite to the rest of the data analysis workflow (visualization, analysis, reporting), it is essential that one become fluent and efficient in data wrangling techniques. This book will guide the user t...
Bayesian Cost-Effectiveness Analysis with the R package BCEA
The book provides a description of the process of health economic evaluation and modelling for cost-effectiveness analysis, particularly from the perspective of a Bayesian statistical approach. Some relevant theory and introductory concepts are presented using practical examples and two running case studies. The book also describes in detail how to perform health economic evaluations using the R package BCEA (Bayesian Cost-Effectiveness Analysis). BCEA can be used to post-process the results of a Bayesian cost-effectiveness model and perform advanced analyses producing standardised and highly customisable outputs. It presents all the features of the package, including its many functions and their practical application, as well as its user-friendly web interface. The book is a valuable resource for statisticians and practitioners working in the field of health economics wanting to simplify and standardise their workflow, for example in the preparation of dossiers in support of marketing authorisation, or academic and scientific publications.
