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Public transport brings undisputed benefits to modern-day societies. Aside from providing an affordable means to get around, its supreme efficiency in comparison with private transport plays a crucial role in curbing congestion and pollution, highlighting the importance of adequate design and operation of public transport systems. The first part of this thesis seeks to improve the planning process of public transport operators by integrating planning steps that are traditionally performed sequentially. The first study considers a combination of line planning and vehicle scheduling, and presents methods that estimate how many vehicles are required to operate a line plan, without having to com...
The Internet of Things as an emerging global Internet-based information archit- ture facilitating the exchange of goods and services is gradually developing. While the technology of the Internet of Things is still being discussed and created, the legal framework should be established before the Internet of Things is fully operable, in order to allow for an efective introduction of the new information architecture. If a self-regulatory approach is to be adopted to provide a legal framework for the Internet of Things, and this seems preferable, rulemakers can draw on experiences from the current regime of Internet governance. In the near future, mainly businesses will operate in the Internet o...
It has been acknowledged for some years that the early onset of delinquency can predict a long and serious criminal career. Most resources are targeted at the teenage years but this book argues convincingly that more research and interventions should be aimed at child delinquents aged 12 and under. Tomorrow's Criminals addresses key problems in criminological research and makes studies from the Netherlands more accessible to a wider audience. It provides information and analyses on risk factors and reviews screening tools and risk-focused prevention methods. The contributions increase visibility and accessibility of European policy and practice in the explanation and prevention of child delinquency.
This book gathers a selection of peer-reviewed papers presented at the International Conference on Operations Research (OR 2021), which was hosted online by the University of Bern from August 31 to September 3, 2021, and was jointly organized by the Operations Research Societies of Switzerland (SVOR/ASRO), Germany (GOR e.V.), and Austria (ÖGOR). The respective papers discuss classical mathematical optimization, statistics and simulation techniques. These are complemented by computer science methods, and by tools for processing data, designing and implementing information systems. The book also examines recent advances in information technology, which allow massive volumes of data to be processed and enable real-time predictive and prescriptive business analytics to drive decisions and actions. Lastly, it presents a selection of problems that are modeled and treated while taking into account uncertainty, risk management, behavioral issues, etc.
Point process statistics is successfully used in fields such as material science, human epidemiology, social sciences, animal epidemiology, biology, and seismology. Its further application depends greatly on good software and instructive case studies that show the way to successful work. This book satisfies this need by a presentation of the spatstat package and many statistical examples. Researchers, spatial statisticians and scientists from biology, geosciences, materials sciences and other fields will use this book as a helpful guide to the application of point process statistics. No other book presents so many well-founded point process case studies. From the reviews: "For those interested in analyzing their spatial data, the wide variatey of examples and approaches here give a good idea of the possibilities and suggest reasonable paths to explore." Michael Sherman for the Journal of the American Statistical Association, December 2006
Modern Statistical Methodology and Software for Analyzing Spatial Point PatternsSpatial Point Patterns: Methodology and Applications with R shows scientific researchers and applied statisticians from a wide range of fields how to analyze their spatial point pattern data. Making the techniques accessible to non-mathematicians, the authors draw on th
The book represents a paradigm shift from the traditional static model of investigation of oxidative biology to the dynamic model of vascular oxidative stress. The investigation of vascular biology and cardiovascular medicine is made possible by the use of fluid dynamics, molecular signaling, genomic approach, tissue engineering, stem cell biology, and microfluidics. This is the first book to target a wide readership from academia to industry and government agencies in the field of cardiovascular diseases.