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This volume was first published by Inter-Disciplinary Press in 2016. This volume is designed to introduce readers to the interactions and crossovers between culture and the city. The volume in fact intends to investigate urbanity as a cultural form on the basis of a broader and geographically representative collection of case studies. In particular it offers a stimulating range of inter-disciplinary perspectives showing that urban space manifests itself as an interpretative gaze, anchored in human life not just as something to look at but as a cultural form to live in socially.
This volume is designed to introduce readers to the interactions and crossovers between culture and the city. The volume in fact intends to investigate urbanity as a cultural form on the basis of a broader and geographically representative collection of case studies. In particular it offers a stimulating range of inter-disciplinary perspectives showing that urban space manifests itself as an interpretative gaze, anchored in human life not just as something to look at but as a cultural form to live in socially.
The Atlantic Forest is one of the 36 hotspots for biodiversity conservation worldwide. It is a unique, large biome (more than 3000 km in latitude; 2500 in longitude), marked by high biodiversity, high degree of endemic species and, at the same time, extremely threatened. Approximately 70% of the Brazilian population lives in the area of this biome, which makes the conflict between biodiversity conservation and the sustainability of the human population a relevant issue. This book aims to cover: 1) the historical characterization and geographic variation of the biome; 2) the distribution of the diversity of some relevant taxa; 3) the main threats to biodiversity, and 4) possible opportunities to ensure the biodiversity conservation, and the economic and social sustainability. Also, it is hoped that this book can be useful for those involved in the development of public policies aimed at the conservation of this important global biome.
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...
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