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This book shall assist the microscopist in a practical way, with the help of three mainstays, a. clinical information, b. the resources a standard histopathology laboratory may offer and c. the light microscope, to approach and solve the diagnostic problems he/she may face in the field of dermatopa¬thology. In fact, this is the way in which the senior author of this book has been successfully working over thirty years in his capacity as director of a private dermatopathology laboratory.
Ana Luiza faleceu jovem, aos 17 anos, em decorrência de um AVC hemorrágico por causa de uma doença congênita. Ela partiu no exato momento em que sua vida estava num crescente: tinha acabado de conseguir emprego com carteira assinada, estava namorando, ia se formar na escola. Estava cheia de planos. Planos que foram interrompidos sem qualquer aviso prévio. Acompanhá-la em coma profundo na UTI, por longos 27 dias, foi uma das missões mais difíceis que nossa família já enfrentou. Mesmo sabendo da gravidade do caso, tínhamos a esperança de que um milagre pudesse acontecer e ela sobrevivesse. Infelizmente, não foi o que aconteceu. Lidar com essa perda tem sido muito difícil. Então,...
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What does it mean to be a citizen? What impact does an active democracy have on its citizenry and why does it fail or succeed in fulfilling its promises? Most modern democracies seem unable to deliver the goods that citizens expect; many politicians seem to have given up on representing the wants and needs of those who elected them and are keener on representing themselves and their financial backers. What will it take to bring democracy back to its original promise of rule by the people? Bernd Reiter’s timely analysis reaches back to ancient Greece and the Roman Republic in search of answers. It examines the European medieval city republics, revolutionary France, and contemporary Brazil, ...
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...