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A obra aborda de forma crítica, reflexiva e propositiva uma pluralidade de temáticas que colocam em relevo a interface entre psicologias e decolonialidade. Os capítulos que a compõem anunciam posicionamentos atentos aos dilemas que integram a realidade sociopolítica e seus impactos nos processos de produção de conhecimentos e práticas em Psicologia. As autoras e os autores, ao interrogarem e deslocarem sentidos, convidam-nos a criar sensibilidades, concepções e percursos subversivos de ação e transformação social.
Illustrators Annual 2020 is the 2020 edition of Chronicle Books' yearly publication celebrating artists featured at the Bologna Children's Book Fair. Selected by the year's jury at the fair, these illustrators represent the most daring, exciting artistic minds working across the world. Celebrating debut and storied talent from around the world--talent poised to engage a whole new generation of book lovers--this glorious compendium can be read cover-to-cover or browsed through at random. * An annual publication that brings groundbreaking art from around the world to the English-speaking market * Inspires readers to marvel at the brilliance of the gifts shared by children's book illustrators *...
Vols. for 1963- include as pt. 2 of the Jan. issue: Medical subject headings.
The Atlantic Forest is one of the 36 hotspots for biodiversity conservation worldwide. It is a unique, large biome (more than 3000 km in latitude; 2500 in longitude), marked by high biodiversity, high degree of endemic species and, at the same time, extremely threatened. Approximately 70% of the Brazilian population lives in the area of this biome, which makes the conflict between biodiversity conservation and the sustainability of the human population a relevant issue. This book aims to cover: 1) the historical characterization and geographic variation of the biome; 2) the distribution of the diversity of some relevant taxa; 3) the main threats to biodiversity, and 4) possible opportunities to ensure the biodiversity conservation, and the economic and social sustainability. Also, it is hoped that this book can be useful for those involved in the development of public policies aimed at the conservation of this important global biome.
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...
This book provides a comprehensive and self-contained introduction to federated learning, ranging from the basic knowledge and theories to various key applications. Privacy and incentive issues are the focus of this book. It is timely as federated learning is becoming popular after the release of the General Data Protection Regulation (GDPR). Since federated learning aims to enable a machine model to be collaboratively trained without each party exposing private data to others. This setting adheres to regulatory requirements of data privacy protection such as GDPR. This book contains three main parts. Firstly, it introduces different privacy-preserving methods for protecting a federated lear...
In this volume, 25 scientists from around the world review the most recent advances in the study of how frogs and toads communicate. The contributors - who are experts in disciplines including animal behaviour, developmental biology, endocrinology, evolution, ecology and neurobiology - examine this amphibian order's vocal, visual and chemical signals, the physiology and energetics of their production, neural processing, related behaviours, and evolutionary implications. As the chapters demonstrate, research developments have led to further understanding of the role of the anuran larynx in sound production, how the anuran brain recognizes sound, and how both of these processes are influenced by the animal's physiological state. The contributors also discuss male-to-male call strategies as well as how female preferences for call variation contribute to sexual selection, speciation and hybridization. The text presents material about kin recognition abilities and the surprising range of visual displays by tropical anurans, and examines how the inherent structure of the auditory system might generate sensory biases that influence signal evolution.
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Quais são as possíveis implicações das pesquisas na área da psicologia cognitiva básica e aplicada no cotidiano? Como o conhecimento obtido na pesquisa básica em diversas áreas das neurociências e da psicologia cognitiva pode ser aplicado em diferentes contextos? Em Psicologia cognitiva e neurociências essas questões são abordadas por diversos grupos de pesquisadores que apresentam suas contribuições em cinco grandes seções temáticas. As pesquisas básicas apresentadas na primeira seção tratam da validade do uso de modelos animais no estudo de uma variedade de transtornos mentais, tais como: o Transtorno de Déficit de Atenção e Hiperatividade, a ansiedade e aspectos rel...
This open access 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 introduces the representation techniques for those objects that are closely related to NLP, including entity-based world knowledge, sememe-based linguistic knowledge, networks, and cross-modal entries. Lastly, Part III provides open resource tools for representation learning techniques, and discusses the remaining challenges and future research directions. The theories and algorithms of representation learning presented can also benefit other related domains such as machine learning, social network analysis, semantic Web, information retrieval, data mining and computational biology. This book is intended for advanced undergraduate and graduate students, post-doctoral fellows, researchers, lecturers, and industrial engineers, as well as anyone interested in representation learning and natural language processing.