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Migration and the Media
This book analyzes Chinese migration to Italy as it was debated in the news media between 1992 and 2012 by exploring what this migration allowed stakeholders to achieve within the country's media, politics, and popular culture in the age of migration and globalization.
Continuum Mechanics and Applications in Geophysics and the Environment
The topics covered include soil mechanics and porous media, glacier and ice dynamics, climatology and lake physics, climate change as well as numerical algorithms. The book, written by well-known experts, addresses researchers and students interested in physical aspects of our environment.
Trieste
An old Italian woman seeks a reunion with her son, fathered by an SS officer and taken away by German authorities sixty-two years ago, while she remembers and discusses the atrocities committed in Northern Italy during World War II.
Bicuspid aortic valve disease
The main goal of this book is to find the key roots for medical innovation by critically gauging our history and the past literature, rather than to take it for "granted" as we often do. The goal of this book is to promote a new pedagogy and culture that goes beyond the acquisition of notions, a culture that demands a critical and curious posture. These unalienable skills can be explicitly observed, throughout the chapters, by the strong historical grasp that this book proposes. The key value supported here is the consciousness and valorization of the roots of existing medical knowledge. It is only through analyzing and understanding those historical innovations that we can further develop existing cardiological methods. This book also proposes a vast interdisciplinary approach to specific medical diseases, rather than focusing on sectorial analysis. This approach, coupled with a strong analysis of the past academic achievements, positions this book as a "pivot" between the current methodological research and future medical explorations.
Machine Learning, Optimization, and Data Science
This book constitutes the post-conference proceedings of the 5th International Conference on Machine Learning, Optimization, and Data Science, LOD 2019, held in Siena, Italy, in September 2019. The 54 full papers presented were carefully reviewed and selected from 158 submissions. The papers cover topics in the field of machine learning, artificial intelligence, reinforcement learning, computational optimization and data science presenting a substantial array of ideas, technologies, algorithms, methods and applications.
Discovery Science
None
Waves And Stability In Continuous Media - Proceedings Of The 10th Conference On Wascom 99
Mathematical problems concerning time evolution of solutions related to nonlinear systems modelling dynamics of continuous media are of great interest both in wave propagation and in stability problems. During the last few decades many striking developments have taken place, especially in connection with the effects of nonlinearity of the equations describing physical situations.The articles in this book have been written by reputable specialists in the field and represent a valuable contribution to its advancement. The topics are: discontinuity and shock waves; linear and nonlinear stability in fluid dynamics; kinetic theories and comparison with continuum models; propagation and non-equilibrium thermodynamics; exact solutions via group methods; numerical applications.
Scientific Computing in Electrical Engineering SCEE 2008
This book is a collection of 65 selected papers presented at the 7th International Conference on Scientific Computing in Electrical Engineering (SCEE), held in Espoo, Finland, in 2008. The aim of the SCEE 2008 conference was to bring together scientists from academia and industry, e.g. mathematicians, electrical engineers, computer scientists, and physicists, with the goal of intensive discussions on industrially relevant mathematical problems, with an emphasis on modeling and numerical simulation of electronic circuits and devices, electromagnetic fields, and coupled problems.This extensive reference work is divided into five parts: 1. Computational electromagnetics, 2. Circuit simulation, 3. Coupled problems, 4. Mathematical and computational methods, and 5. Model-order reduction. Each part starts with an general introduction followed by the actual papers.
Machine Learning, Optimization, and Big Data
This book constitutes the post-conference proceedings of the Third International Workshop on Machine Learning, Optimization, and Big Data, MOD 2017, held in Volterra, Italy, in September 2017. The 50 full papers presented were carefully reviewed and selected from 126 submissions. The papers cover topics in the field of machine learning, artificial intelligence, computational optimization and data science presenting a substantial array of ideas, technologies, algorithms, methods and applications.
