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O livro é uma iniciativa da Regional 1 (R1) da Associação Brasileira de Ensino de Biologia. A obra reúne 54 trabalhos apresentados durante o V Encontro Regional de Ensino de Biologia da R1 (MT, MS e SP). Os textos refletem uma diversidade de abordagens e um constante fortalecimento do Ensino de Ciências e Biologia em nosso país.
This book shows the important links between social conditions and health and begins to describe the processes through which these health inequalities may be generated. It reviews a range of methodologies that could be used by health researchers in this field and proposes innovative future research directions.
'NDiaye is a hypnotic storyteller with an unflinching understanding of the rock-bottom reality of most people's life.' New York Times ' One of France's most exciting prose stylists.' The Guardian. Obsessed by her encounters with the mysterious green women, and haunted by the Garonne River, a nameless narrator seeks them out in La Roele, Paris, Marseille, and Ouagadougou. Each encounter reveals different aspects of the women; real or imagined, dead or alive, seductive or suicidal, driving the narrator deeper into her obsession, in this unsettling exploration of identity, memory and paranoia. Self Portrait in Green is the multi-prize winning, Marie NDiaye's brilliant subversion of the memoir. Written in diary entries, with lyrical prose and dreamlike imagery, we start with and return to the river, which mirrors the narrative by posing more questions than it answers.
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...
This handbook discusses the latest developments in biorefinery technologies for waste-to-energy conversion. The growing global population and the accompanying increase in consumption and waste production make it urgent to find the best possible use of our resources. A sustainable waste management under the biorefinery concept has great potential to support a sustainable circular economy and green energy production. This handbook is divided into four parts. First, the reader is introduced to the fundamentals and recent trends of waste-to-energy technologies. The second part describes in detail the current status, challenges, and potential of the different feedstocks used for waste-to-energy c...
The past decade has witnessed dramatic developments in the field of theoretical physics. This book is a comprehensive introduction to these recent developments. It contains a review of the Standard Model, covering non-perturbative topics, and a discussion of grand unified theories and magnetic monopoles. It introduces the basics of supersymmetry and its phenomenology, and includes dynamics, dynamical supersymmetry breaking, and electric-magnetic duality. The book then covers general relativity and the big bang theory, and the basic issues in inflationary cosmologies before discussing the spectra of known string theories and the features of their interactions. The book also includes brief introductions to technicolor, large extra dimensions, and the Randall-Sundrum theory of warped spaces. This will be of great interest to graduates and researchers in the fields of particle theory, string theory, astrophysics and cosmology. The book contains several problems, and password protected solutions will be available to lecturers at www.cambridge.org/9780521858410.
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.
Calcium is the main mineral in the body, involved in a variety of structural and functional roles. The maintenance of calcium homeostasis is perhaps the most studied function of vitamin D. This Special Issue of Nutrients, “Calcium, Vitamin D and Health” contains 12 original publications and two reviews investigating the contribution of (mainly) vitamin D and calcium on relevant health outcomes in a variety of populations, which reflect the evolving and broad interest of researchers on this topic.