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Cenários da Saúde Brasileira:
As metodologias ativas têm como foco, colocar o estudante no centro do processo de construção do conhecimento, nesta perspectiva, considerando a necessidade de produção do conhecimento durante a graduação, é que surgiu a ideia do E-book “Cenários da Saúde Brasileira: Um Olhar Epidemiológico”. Trata-se de um livro, com sete capítulos, desenvolvido no âmbito da disciplina de Epidemiologia II, ofertada pelo Departamento de Saúde Coletiva da Faculdade de Medicina da Universidade Federal do Amazonas.
Cenários da Saúde Brasileira:
As metodologias ativas têm como foco, colocar o estudante no centro do processo de construção do conhecimento, nesta perspectiva, considerando a necessidade de produção do conhecimento durante a graduação, é que surgiu a ideia do E-book “Cenários da Saúde Brasileira: Um Olhar Epidemiológico”. Trata-se de um livro, com sete capítulos, desenvolvido no âmbito da disciplina de Epidemiologia II, ofertada pelo Departamento de Saúde Coletiva da Faculdade de Medicina da Universidade Federal do Amazonas.
Cenários da Saúde Brasileira: um olhar epidemiológico
As metodologias ativas tem como foco, colocar o estudante no centro do processo de construção do conhecimento, nesta perspectiva, considerando a necessidade de produção do conhecimento durante a graduação, é que surgiu a ideia do E-book “Cenários da Saúde Brasileira: Um Olhar Epidemiológico”. Trata-se do volume 2 do e-book, com seis capítulos, desenvolvido no âmbito da disciplina de Epidemiologia II, ofertada pelo Departamento de Saúde Coletiva da Faculdade de Medicina da Universidade Federal do Amazonas.
Fermentation Processes: Emerging and Conventional Technologies
Explores the use of conventional and novel technologies to enhance fermentation processes Fermentation Processes reviews the application of both conventional and emerging technologies for enhancing fermentation conditions, examining the principles and mechanisms of fermentation processes, the microorganisms used in bioprocesses, their implementation in industrial fermentation, and more. Designed for scientists and industry professionals alike, this authoritative and up-to-date volume describes how non-conventional technologies can be used to increase accessibly and bioavailability of substrates by microorganisms during fermentation, which in turn promotes microbial growth and can improve pro...
The Case for Marriage
A groundbreaking look at marriage, one of the most basic and universal of all human institutions, which reveals the emotional, physical, economic, and sexual benefits that marriage brings to individuals and society as a whole. The Case for Marriage is a critically important intervention in the national debate about the future of family. Based on the authoritative research of family sociologist Linda J. Waite, journalist Maggie Gallagher, and a number of other scholars, this book’s findings dramatically contradict the anti-marriage myths that have become the common sense of most Americans. Today a broad consensus holds that marriage is a bad deal for women, that divorce is better for childr...
A History of African Linguistics
The first global history of African linguistics as an emerging autonomous academic discipline, covering Africa, the Americas, Asia, Australia, and Europe.
Graph Representation Learning
Graph-structured data is ubiquitous throughout the natural and social sciences, from telecommunication networks to quantum chemistry. Building relational inductive biases into deep learning architectures is crucial for creating systems that can learn, reason, and generalize from this kind of data. Recent years have seen a surge in research on graph representation learning, including techniques for deep graph embeddings, generalizations of convolutional neural networks to graph-structured data, and neural message-passing approaches inspired by belief propagation. These advances in graph representation learning have led to new state-of-the-art results in numerous domains, including chemical sy...
Science and Football IV
This edited collection brings together the latest research into the range of sports known as football. With contributions by a large number of the leading international researchers in the field, the book aims to bridge the gap between theory and practice in football, and to raise the awareness of the value of a scientific approach to the various football codes. The book contains nearly seventy papers, examining aspects ranging from match analysis and medical aspects of football to metabolism and nutrition, psychology and behaviour, and management and organization. Containing a wealth of research data, and a huge range of examples of how science can be applied; this book represents an invaluable reference for coaches, trainers, managers, medical staff, and all those involved in supporting performers in the many football codes.
Federated Learning
How is it possible to allow multiple data owners to collaboratively train and use a shared prediction model while keeping all the local training data private? Traditional machine learning approaches need to combine all data at one location, typically a data center, which may very well violate the laws on user privacy and data confidentiality. Today, many parts of the world demand that technology companies treat user data carefully according to user-privacy laws. The European Union's General Data Protection Regulation (GDPR) is a prime example. In this book, we describe how federated machine learning addresses this problem with novel solutions combining distributed machine learning, cryptography and security, and incentive mechanism design based on economic principles and game theory. We explain different types of privacy-preserving machine learning solutions and their technological backgrounds, and highlight some representative practical use cases. We show how federated learning can become the foundation of next-generation machine learning that caters to technological and societal needs for responsible AI development and application.
