# SCIENCE

This third and last open volume in the series takes the perspective of non-EU countries on immigrant social protection. By focusing on 12 of the largest sending countries to the EU, the book tackles the issue of the multiple areas of sending state intervention towards migrant populations. Two "mirroring" chapters are dedicated to each of ...

This open book presents new developments in the field of demographic forecasting, covering both mortality, fertility and migration. For each component emerging methods to forecast them are presented. Moreover, instruments for forecasting evaluation are provided. Bayesian models, nonparametric models, cohort approaches, elicitation of expert opinion...

This open book provides an overview of the recent advances in representation learning theory, algorithms and applications for natural language processing (NLP). It is divided into three parts. Part I presents the representation learning techniques for multiple language entries, including words, phrases, sentences and documents. Part II then introdu...

This second open access volume of the handbook series deals with detectors, large experimental facilities and data handling, both for accelerator and non-accelerator based experiments. It also covers applications in medicine and life sciences. A joint CERN-Springer initiative, the “Particle Physics Reference Library” provides revised and update...

The importance of demonstrating the value achieved from IT investments is long established in the Computer Science (CS) and Information Systems (IS) literature. However, emerging technologies such as the ever-changing complex area of cloud computing present new challenges and opportunities for demonstrating how IT investments lead to business value...

This open book brings together a unique set of comparative data from Western and Central Europe on how contemporary families live, and discusses the similarities and differences in family lifestyles in this region. The empirical data comes from the authors' original research derived from adult representatives of families with children in the C...

This book started out as about 30 pages of notes for students in my introductory programming class at Mount St. Mary's University. Most of these students have no prior programming experience, and that has affected my approach. I leave out a lot of technical details and sometimes I oversimplify things. Some of these details are filled in later ...

The study of algorithms and data structures is central to understanding what computer science is all about. Learning computer science is not unlike learning any other type of difficult subject matter. The only way to be successful is through deliberate and incremental exposure to the fundamental ideas. A beginning computer scientist needs practice ...

The purpose of this book is to help you program shared-memory parallel systems without risking your sanity. Nevertheless, you should think of the information in this book as a foundation on which to build, rather than as a completed cathedral. Your mission, if you choose to accept, is to help make further progress in the exciting field of parallel ...

How to Think Like a Computer Scientist is an introductory programming book based on the OCaml language. It is a modified version of Think Python by Allen Downey. It is intended for newcomers to programming and also those who know some programming but want to learn programming in the function-oriented paradigm, or those who simply want to learn OCam...

How to Think Like a Computer Scientist: Learning with Python - is an introduction to computer science using the Python programming language. It covers the basics of computer programming, including variables and values, functions, conditionals and control flow, program development and debugging. Later chapters cover basic algorithms and data structu...

If your job involves working with data in any manner, you cannot afford to ignore the R revolution! If your domain is called data analysis, analytics, informatics, data science, reporting, business intelligence, data management, big data, or visualization, you just have to learn R as this programming language is a game-changing sledgehammer. How...

We are entering a new era of technological determinism and solutionism in which governments and business actors are seeking data-driven change, assuming that Artificial Intelligence is now inevitable and ubiquitous. But we have not even started asking the right questions, let alone developed an understanding of the consequences. Urgently needed is ...

This open book aims to provide novice programmers solid foundation of basic knowledge regardless of the programming language. This book covers the fundamentals of programming that have not changed significantly over the last 10 years. Educational content was developed by an authoritative author team led by Svetlin Nakov from the Software University...

It is often assumed that creative people are prone to psychological instability, and that this explains apparent associations between cultural production and mental health problems. In their detailed study of recording and performing artists in the British music industry, Sally Anne Gross and George Musgrave turn this view on its head. By liste...

There is virtually nowhere on Earth today that remains untouched by plastic and ecosystems are evolving to adapt to this new context. While plastics have revolutionized our modern world, new and often unforeseen effects of plastic and its production are continually being discovered. Plastics are entangled in multiple ecological and social crises, f...

This open book is an introduction to algebra for undergraduates who are interested in careers which require a strong background in mathematics. It will benefit students studying computer science and physical sciences, who plan to teach mathematics in schools, or to work in industry or finance. The book assumes that the reader has a solid background...

Lecture notes for the Yale Computer Science course CPSC 469/569 Randomized Algorithms. Suitable for use as a supplementary text for an introductory graduate or advanced undergraduate course on randomized algorithms. Discusses tools from probability theory, including random variables and expectations, union bound arguments, concentration bounds, app...

This edited collection proposes a common good approach to development theory and practice. Rather than focusing on the outcomes or conditions of development, the contributors concentrate on the quality of development processes, suggesting that a common good dynamic is key in order to trigger development. Resulting from more than three years of r...

Everyone needs a little cryptology. The problem with crypto is that it has a reputation of being very hard and mysterious, as well as very easy to get wrong. While there are aspects of crypto that are connected to quite modern and complex theories - such as number theory, an old and deep branch of mathematics; complexity theory, a new(er) and su...

This 2d volume describes the systematic application of Promise Theory to systems, representing a significant step forward in describing functional systems with both dynamics and semantics. By combining quantitative and qualitative descriptions in a single framework, Promise Theory provides the first impartial language for multiscale system phenomen...

This book provides an algorithmic perspective to autonomous robotics to students with a sophomore-level of linear algebra and probability theory. Robotics is an emerging field at the intersection of mechanical engineering, electrical engineering, and computer science. With computers becoming more powerful, making robots smart is getting more and mo...

The world of machine learning is evolving so quickly that it's challenging to find real-life use cases that are relevant to your day-to-day work. That's why we've created this comprehensive guide you can start using right away. Get everything you need - use cases, code samples and notebooks - so you can start putting the Databrick...

Introduction to engineering mechanics: statics, for those who love to learn. Concepts include: particles and rigid body equilibrium equations, distributed loads, shear and moment diagrams, trusses, method of joints and sections, & inertia. This is the first of two courses to describe how objects move and the forces that cause motion. This co...

Julia is a high-level, dynamic programming language. Its features are well suited for numerical analysis and computational science. Julia works with other languages (C, Python, R, Rust, C++, SQL, JavaScript, ...) The Purpose of this open book is to introduce programmers to the Julia programming by example. This is a simplified exposition of the l...

Introduction to Neuroscience is designed for undergraduate students enrolled in introductory neuroscience courses. This book specifically targets students enrolled in Introduction to Neuroscience 1 and Introduction to Neuroscience 2 at Michigan State University and primarily contains topics covered in those courses. This first edition will guide...

Erlang is the result of a project at Ericsson's Computer Science Laboratory to improve the programming of telecommunication applications. A critical requirement was supporting the characteristics of such applications, that include: massive concurrency, fault-tolerance, isolation, dynamic code upgrading at runtime, transactions. Throughout t...

This book is an introduction to the language of systems biology, which is spoken among many disciplines, from biology to engineering. Authors Thomas Sauter and Marco Albrecht draw on a multidisciplinary background and evidence-based learning to facilitate the understanding of biochemical networks, metabolic modeling and system dynamics. Their pe...

The first of its kind, this Open Report is a first step in assessing the state of the humanities worldwide. Based on an extensive literature review and enlightening interviews the book discusses the value of the humanities, the nature of humanities research and the relation between humanities and politics, amongst other issues....

This book is about those who dislike, protest, and try to abstain from media, both new and old. It explains why media resistance persists and answers two questions: What is at stake for resisters and how does media resistance inspire organized action? Yet, despite the interest in media scepticism and dislike, there seems to be no book on the market...

This collection examines how higher education responds to the demands of the automation economy and the fourth industrial revolution. Considering significant trends in how people are learning, coupled with the ways in which different higher education institutions and education stakeholders are implementing adaptations, it looks at new programs ...

How do social networking services earn money?What is the "second hand of the market" and how does it operate? Why does society need so many different kinds of goods? What does happiness economics not reveal about happiness?What is the link between talent, success and "stardom"? What is the business development model for the ent...