You may have to register before you can download all our books and magazines, click the sign up button below to create a free account.
A ASSOCIAÇÃO BRASILEIRA DE ADVOGADOS TRABALHISTAS: ABRAT, pensando em marcar e comemorar os 80 anos da Consolidação da Legislação Trabalhista: CLT no ano de 2023, idealizou uma obra coletiva e convidou diversos profissionais e juristas que refletissem em diversas perspectivas, tanto jurídica, quanto histórica, filosófica e sociológica. A obra nos olhares de advogados, professores, pesquisadores e magistrados contempla análises e críticas que traduzem, em especial, a preocupação com o desmonte da Legislação trabalhista no ano de 2017 advinda com a Lei n. 13.467, chamada de reforma trabalhista, objeto de inúmeras críticas já que eivada de inconstitucionalidades. Vale a pena a leitura da obra - 80 anos da CLT. Reflexões e críticas - profundamente enriquecedora e construtiva, já que fruto de pesquisas e desabafos dos autores que construíram seus textos dentro de normas de escrita científica.
This volume provides an overview of the ways sustainable development issues as a whole, and the SDGs in particular, are perceived and practiced in a variety of countries in the Latin America and Caribbean region. It also discusses the extent to which its many socio-economic problems hinder progresses towards the pursuit of a sustainable future, and documents successful experiences from across the region. This book is part of the "100 papers to accelerate the implementation of the UN Sustainable Development Goals initiative".
'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.
Yoshiro thinks he might never die. A hundred years old and counting, he is one of Japan's many 'old-elderly'; men and women who remember a time before the air and the sea were poisoned, before terrible catastrophe promted Japan to shut itself off from the rest of the world. He may live for decades yet, but he knows his beloved great-grandson - born frail and prone to sickness - might not survive to adulthood. Day after day, it takes all of Yoshiro's sagacity to keep Mumei alive. As hopes for Japan's youngest generation fade, a secretive organisation embarks on an audacious plan to find a cure - might Yoshiro's great-grandson be the key to saving the last children of Tokyo?
"Uma história divertida, sensível e esperançosa sobre o amor e o verdadeiro significado de família, que te fará entender por que o Vitor é um dos melhores autores atuais de YA." – Iris Figueiredo, autora de Céu sem estrelas e Confissões on-line Jonas não sabe muito bem o que fazer da vida. Entre suas leituras e ideias para livros anotadas em um caderninho de bolso, ele precisa dar conta de seus turnos no Rocket Café e ainda lidar com o conservadorismo de seus pais. Sua mãe alimenta a esperança de que ele volte a frequentar a igreja, e seu pai não faz muito por ele além de trazer problemas. Mas é quando conhece Arthur, um belo garoto de barba ruiva, que Jonas passa a questionar por quanto tempo conseguirá viver sob as expectativas de seus pais, fingindo ser uma pessoa diferente de quem é de verdade. Buscando conforto em seus amigos (e na sua história sobre dois piratas bonitões que se parecem muito com ele e Arthur), Jonas entenderá o verdadeiro significado de família e amizade, e descobrirá o poder de uma boa história.
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...
Grandes letristas, incluindo Vinicius de Moraes, foram seduzidos pelas belas frases musicais de Ernesto Nazareth e criaram perfeitas simbioses entre letra e música. Agora, Wagner Azevedo nos apresenta este dicionário com as figuras de linguagens encontradas nessas simbioses de sucesso da música brasileira. Primeiro, o autor explica o que são figuras de linguagem e categoriza os diferentes tipos. Em seguida, coloca como entrada deste dicionário as figuras de linguagens encontradas nas letras apostas sobre as Músicas de Ernesto Nazareth e indica os seus respectivos títulos. Como brinde, na segunda parte do dicionário, os verbetes são antropônimos citados pelos autores.
Financial Risk Measurement is a challenging task, because both the types of risk and the techniques evolve very quickly. This book collects a number of novel contributions to the measurement of financial risk, which address either non-fully explored risks or risk takers, and does so in a wide variety of empirical contexts.
Algorithmic Learning in a Random World describes recent theoretical and experimental developments in building computable approximations to Kolmogorov's algorithmic notion of randomness. Based on these approximations, a new set of machine learning algorithms have been developed that can be used to make predictions and to estimate their confidence and credibility in high-dimensional spaces under the usual assumption that the data are independent and identically distributed (assumption of randomness). Another aim of this unique monograph is to outline some limits of predictions: The approach based on algorithmic theory of randomness allows for the proof of impossibility of prediction in certain situations. The book describes how several important machine learning problems, such as density estimation in high-dimensional spaces, cannot be solved if the only assumption is randomness.