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This book presents the results of 20 years of atmospheric composition research studies carried out at the high-mountain (2,165 m a.s.l.) Observatory "O. Vittori" in Italy, part of the only global station in the Mediterranean region that belongs to the World Meteorological Organization’s Global Atmosphere Watch (WMO/GAW). It provides a comprehensive study with updated results for the most important atmospheric climate-altering and pollutant compounds based on the continuous observations at Mt. Cimone. Further, the book addresses the following main research topics in atmospheric sciences: non-CO2 greenhouse gases, reactive gases, aerosol particles and natural radioactivity. The book also presents an overview of the measurement site (both in terms of its geographical location and technical facilities), as well as extensive climatology references (in the form of plots and tables) for the atmospheric compounds monitored there. As such, it offers a must-read for atmospheric scientists, stakeholders, undergraduate and graduate students in related fields.
This book constitutes the refereed proceedings of the 11th International Conference of the Italian Association for Artificial Intelligence, AI*IA 2009, held in Reggio Emilia, Italy, in December 2009. The 50 revised full papers presented together with 3 invited talks were carefully reviewed and selected from 83 submissions. The papers are organized in topical sections on knowledge representation and reasoning, machine learning, evolutionary computation, search, natural language processing, multi-agent systems and application.
Current developments in air pollution modelling are explored as a series of contributions from researchers at the forefront of their field. This newest contribution on air pollution modelling and its application is focused on local, urban, regional and intercontinental modelling; long term modelling and trend analysis; data assimilation and air quality forecasting; model assessment and evaluation; aerosol transformation. Additionally, this work also examines the relationship between air quality and human health and the effects of climate change on air quality. This Work is a collection of selected papers presented at the 35th International Technical Meeting on Air Pollution Modeling and its Application, held in Chania (Crete), Greece, Oct 3-7, 2016. The book is intended as reference material for students and professors interested in air pollution modelling at the graduate level as well as researchers and professionals involved in developing and utilizing air pollution models.
This 8-volumes set constitutes the refereed of the 25th International Conference on Pattern Recognition Workshops, ICPR 2020, held virtually in Milan, Italy and rescheduled to January 10 - 11, 2021 due to Covid-19 pandemic. The 416 full papers presented in these 8 volumes were carefully reviewed and selected from about 700 submissions. The 46 workshops cover a wide range of areas including machine learning, pattern analysis, healthcare, human behavior, environment, surveillance, forensics and biometrics, robotics and egovision, cultural heritage and document analysis, retrieval, and women at ICPR2020.
An advanced textbook adopting a theoretical modeling approach to review and discuss the current range and distributions of alien species, their rates of spread, and their impact in human-dominated ecosystems.
Dual graphic narratives by the acclaimed Italian cartoonist demonstrate how the choices our ancestors made dramatically affect generations to come. Silvano Landi is a successful writer who, at the age of 50, sees his family leave him and his life fall apart. Landi's great-grandfather, Mauro, is an anxious soldier being fed to the maw of carnage in the First World War. Alternating between past and present, a psych ward and the bloody trenches, and told through complex clues ― a lone gas station, an apathetic baroness, found love letters, and shifting from scratchy black-and-white to lush watercolors (sometimes on the same page), One Story documents the origins of pain that serve as the roots of a twisted family tree, and allows the reader to trace the branches.
This is the hard hitting story of life in an inner city. Sean Allen reluctantly accepts a teaching position in an urban school and witnesses chaos, intimidation, racism and corruption within the school system, and the city. Encouraged by a basketball buddy, Sean joins a home tutoring program and meets Landi, the mother of a student, who repudiates his presence from the very beginning.The more Landi spurns him the more infatuated he becomes with her and the more he is torn between her and Brenda, a teacher he dates. Their lives become intimately entangled in the present and the past and are punctuated with romance, love, hostility and betrayal. While his encounters with Landi and Brenda spin ...
Renowned Marxist scholar and critical media theorist Christian Fuchs provides a thorough, chapter-by-chapter introduction to Capital Volume 1 that assists readers in making sense of Karl Marx’s most important and groundbreaking work in the information age, exploring Marx’s key concepts through the lens of media and communication studies via contemporary phenomena like the Internet, digital labour, social media, the media industries, and digital class struggles. Through a range of international, current-day examples, Fuchs emphasises the continued importance of Marx and his work in a time when transnational media companies like Amazon, Google, and Facebook play an increasingly important role in global capitalism. Discussion questions and exercises at the end of each chapter help readers to further apply Marx’s work to a modern-day context.
This book investigates tropospheric delays, one of the main error sources in Global Navigation Satellite Systems (GNSS), and its impact plays a crucial role in near real-time weather forecasting. Accessibility and accurate estimation of this parameter are essential for weather and climate research. Advances in GNNS application has allowed the measurements of Zenith Tropospheric Delay (ZTD) in all weather conditions and on a global scale with fine temporal and spatial resolution. However, GPS data are not always available for a full 24-hour period. Using a soft computing technique such as Adaptive Neuro-Fuzzy Inference System (ANFIS) as a new alternative, the ZTD can be determined by using the surface meteorological data as inputs. The estimation and prediction of ZTD value are presented in this book.