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Ensino de ciências, currículo e inclusão
A obra Ensino de Ciências, Currículo e Inclusão - diálogos interdisciplinares não poderia ter vindo em melhor hora. Ela se apresenta em uma conjuntura bastante consternadora para a Educação Brasileira, quando são postos à prova todos os avanços que alcançamos até aqui, e que apontavam na direção de um projeto cultural de educação emancipatório e transformador. Para aqueles que comungam da ideia freiriana de que o papel primordial da educação se volta para a comunhão entre humanos mediados por determinado objeto de conhecimento, sendo esta um ato revolucionário que permite ao sujeito entender e ter a capacidade de mudar o mundo, vivemos um momento perturbador. Perturbador porque a educação libertadora e, com ela, o currículo crítico e emancipador, a criatividade, o diálogo, a comunicação, os direitos humanos, a tolerância, a autonomia e a humanidade sustentável se tornaram temas a serem combatidos por uma parcela conservadora de nossa sociedade, dado o contexto de reemergência do reacionarismo no Brasil.
Machine Learning and Knowledge Extraction
This volume LNCS-IFIP constitutes the refereed proceedings of the 7th IFIP TC 5, TC 12, WG 8.4, WG 8.9, WG 12.9 International Cross-Domain Conference, CD-MAKE 2023 in Benevento, Italy, during August 28 – September 1, 2023. The 18 full papers presented together were carefully reviewed and selected from 30 submissions. The conference focuses on integrative machine learning approach, considering the importance of data science and visualization for the algorithmic pipeline with a strong emphasis on privacy, data protection, safety and security.
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...
Autoimmunity, COVID-19, Post-COVID19 Syndrome and COVID-19 Vaccination
Autoimmunity, COVID-19, Post-COVID-19 Syndrome and COVID-19 Vaccination covers all aspects of what is perhaps the most dramatic health crisis in the history of modern medicine. Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) raised major concerns about the association between the virus and various autoimmune manifestations. Over 15 distinct autoantibodies and above 10 different autoimmune diseases were found to develop in COVID-19 patients. Moreover, evidence about recovered COVID-19 patients demonstrates that persistent systemic symptoms, which are believed to have an autoimmune-related mechanism, do exist. As it is of great importance to recognize those autoimmune manifestatio...
Federated Learning
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...
Epigenetic Drug Discovery
Epigenetics is one of the fastest moving fields in drug discovery, with almost every large pharmaceutical company, and a substantial number of biotechnology companies, targeting epigenetic processes to treat diseases ranging from cancer to Huntington’s disease and from inflammation to sickle cell anaemia. This book aims to provide an overview of the key topics adopted in current epigenetic drug discovery programmes with a focus on major developments and new technologies. Importantly, the book incorporates case studies and outlines the key challenges and techniques employed to overcome them. The book is an ideal resource for researchers in both industry and academia with an interest in epigenetic and genetic factors involved in drug discovery, target ID and validation. The book is also an excellent introduction for postgraduates interested in the interface between epigenetics and pharmaceuticals.
Culture, Mind, and Brain
Recent neuroscience research makes it clear that human biology is cultural biology - we develop and live our lives in socially constructed worlds that vary widely in their structure values, and institutions. This integrative volume brings together interdisciplinary perspectives from the human, social, and biological sciences to explore culture, mind, and brain interactions and their impact on personal and societal issues. Contributors provide a fresh look at emerging concepts, models, and applications of the co-constitution of culture, mind, and brain. Chapters survey the latest theoretical and methodological insights alongside the challenges in this area, and describe how these new ideas are being applied in the sciences, humanities, arts, mental health, and everyday life. Readers will gain new appreciation of the ways in which our unique biology and cultural diversity shape behavior and experience, and our ongoing adaptation to a constantly changing world.
