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Formação docente e currículos em tempos de BNCC
Os estudos desta Coletânea são frutos do projeto de pesquisa “A Base Nacional Comum Curricular e o discurso da qualidade de ensino como indutor de políticas da educação básica e de formação de professores no Brasil” e buscam desvelar a essência dessa política educacional e seus desdobramentos, especialmente quanto à implementação dos currículos nos estados de Mato Grosso, Mato Grosso do Sul e São Paulo; as políticas de formação inicial e continuada de professores; as políticas de materiais didáticos e tecnologias educacionais e as políticas de avaliação em larga escala.
DIREITO EM FOCO: DIREITO ELEITORAL
Este livro, na forma de coletânea de artigos, inclui-se em um processo mais amplo de reflexão sobre o direito contemporâneo que vem sendo desencadeado no ensino jurídico, constituindo importante ponto de inflexão neste processo de sistematização e produção de conhecimentos; o objetivo é aprofundar algumas constatações iniciais do debate jurídico sobre temas coevos, respondendo a determinadas demandas urgentes de fundamentação da prática jurídica no campo do direito eleitoral, como: as candidaturas femininas fictícias e a possibilidade de perda dos mandatos dos eleitos do respectivo partido, via AIME; a cláusula de barreira no sistema eleitoral e o estado democrático de direito; o conflito das candidaturas coletivas em meio à democracia representativa, igualdade entre os candidatos e titularidade da candidatura; a educação eleitoral como razão crítica para o exercício da cidadania por meio do sufrágio; a prestação de contas simplificada e a ampla defesa; as redes sociais como instrumento da propaganda eleitoral; e uma genealogia do voto no Brasil.
Pattern Recognition and Machine Learning
This is the first textbook on pattern recognition to present the Bayesian viewpoint. The book presents approximate inference algorithms that permit fast approximate answers in situations where exact answers are not feasible. It uses graphical models to describe probability distributions when no other books apply graphical models to machine learning. No previous knowledge of pattern recognition or machine learning concepts is assumed. Familiarity with multivariate calculus and basic linear algebra is required, and some experience in the use of probabilities would be helpful though not essential as the book includes a self-contained introduction to basic probability theory.
Encyclopedia of Information Science and Technology
"This set of books represents a detailed compendium of authoritative, research-based entries that define the contemporary state of knowledge on technology"--Provided by publisher.
Building the Future Internet through FIRE
The Internet as we know it today is the result of a continuous activity for improving network communications, end user services, computational processes and also information technology infrastructures. The Internet has become a critical infrastructure for the human-being by offering complex networking services and end-user applications that all together have transformed all aspects, mainly economical, of our lives. Recently, with the advent of new paradigms and the progress in wireless technology, sensor networks and information systems and also the inexorable shift towards everything connected paradigm, first as known as the Internet of Things and lately envisioning into the Internet of Everything, a data-driven society has been created. In a data-driven society, productivity, knowledge, and experience are dependent on increasingly open, dynamic, interdependent and complex Internet services. The challenge for the Internet of the Future design is to build robust enabling technologies, implement and deploy adaptive systems, to create business opportunities considering increasing uncertainties and emergent systemic behaviors where humans and machines seamlessly cooperate.
Reinforcement Learning, second edition
The significantly expanded and updated new edition of a widely used text on reinforcement learning, one of the most active research areas in artificial intelligence. Reinforcement learning, one of the most active research areas in artificial intelligence, is a computational approach to learning whereby an agent tries to maximize the total amount of reward it receives while interacting with a complex, uncertain environment. In Reinforcement Learning, Richard Sutton and Andrew Barto provide a clear and simple account of the field's key ideas and algorithms. This second edition has been significantly expanded and updated, presenting new topics and updating coverage of other topics. Like the fir...
Nanobiotechnology in Diagnosis, Drug Delivery and Treatment
Presents nanobiotechnology in drug delivery and disease management Featuring contributions from noted experts in the field, this book highlights recent advances in the nano-based drug delivery systems. It also covers the diagnosis and role of various nanomaterials in the management of infectious diseases and non-infectious disorders, such as cancers and other malignancies and their role in future medicine. Nanobiotechnology in Diagnosis, Drug Delivery and Treatment starts by introducing how nanotechnology has revolutionized drug delivery, diagnosis, and treatments of diseases. It then focuses on the role of various nanocomposites in diagnosis, drug delivery, and treatment of diseases like ca...
Handbook of Research on ICTs and Management Systems for Improving Efficiency in Healthcare and Social Care
Through the use of ICT tools, such as the internet, portals, and telecommunication devices, the quality of healthcare has improved in local and global health; aiding in the development of a sustainable economy. Handbook of Research on ICTs and Management Systems for Improving Efficiency in Healthcare and Social Care brings together a valuable research collection on ICT elements needed to improve communication and collaboration between global health institutes, public and private organizations, and foundations. Highlighting the adoption and success factors in the development of technologies for healthcare, this book is essential for IT professionals, technology solution providers, researchers, and students interested in technology and its relationship with healthcare and social services.
Advances in Human Factors and System Interactions
This book reports on innovative system interfaces, with a special emphasis on their design, development and testing, and on improving the interaction and integration with the users. Focusing on the advantages and challenges of virtual, augmented and mixed reality systems, it describes novel interface technologies, together with cutting-edge strategies for improving usability and accessibility, and cover a wide range of applications from business organization to disaster and crises management, from smart manufacturing to assistive technologies and transportation. Based on the AHFE 2021 Conference on Human Factors and Systems Interaction, held virtually on July 25–29, 2021, from USA, the book offers a timely survey on systems interfaces for a more efficient and safer human-system integration, addressing systems engineers, UX researchers and technology users alike.
Whose Reality Counts?
This book is a sequel to Rural development : putting the last first (AL. 1719, BRN 32006). It explores methods and approaches of participatory rural appraisal (PRA), which, because of its wide application, should, according to the author, be changed to participatory learning and action (PLA).
