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Cancer Epidemiology
According to the World Health Organization's 2008 GLOBOCAN report, 64% of global cancer deaths -- and 56% of cancer cases -- were registered in countries in Africa, Asia, or Latin America. So while cancer is unquestionably a global burden, its reach in the developing world points to the need for specialized study on cancer in these countries. Cancer Epidemiology: Low- and Middle-Income Countries and Special Populations reviews the current status of cancer epidemiologic research and training -- rationale, requisite infrastructure, methodologic principles, and illustrative examples in low- and middle-income countries -- in order to facilitate future advances by trained health professionals. The result is a valuable resource for both program leaders and graduate and post-graduate students pursuing careers in international cancer epidemiologic research.
Computational Imaging
A comprehensive and up-to-date textbook and reference for computational imaging, which combines vision, graphics, signal processing, and optics. Computational imaging involves the joint design of imaging hardware and computer algorithms to create novel imaging systems with unprecedented capabilities. In recent years such capabilities include cameras that operate at a trillion frames per second, microscopes that can see small viruses long thought to be optically irresolvable, and telescopes that capture images of black holes. This text offers a comprehensive and up-to-date introduction to this rapidly growing field, a convergence of vision, graphics, signal processing, and optics. It can be u...
Statistical Methods and Models for Video-based Tracking, Modeling, and Recognition
Computer vision systems attempt to understand a scene and its components from mostly visual information. The geometry exhibited by the real world, the influence of material properties on scattering of incident light, and the process of imaging introduce constraints and properties that are key to solving some of these tasks. In the presence of noisy observations and other uncertainties, the algorithms make use of statistical methods for robust inference. In this paper, we highlight the role of geometric constraints in statistical estimation methods, and how the interplay of geometry and statistics leads to the choice and design of algorithms. In particular, we illustrate the role of imaging, illumination, and motion constraints in classical vision problems such as tracking, structure from motion, metrology, activity analysis and recognition, and appropriate statistical methods used in each of these problems.
Reasoning in Event-Based Distributed Systems
With the rapid expansion of the Internet over the last 20 years, event-based distributed systems are playing an increasingly important role in a broad range of application domains, including enterprise management, environmental monitoring, information dissemination, finance, pervasive systems, autonomic computing, collaborative working and learning, and geo-spatial systems. Many different architectures, languages and technologies are being used for implementing event-based distributed systems, and much of the development has been undertaken independently by different communities. However, a common factor is an ever-increasing complexity. Users and developers expect that such systems are able...
The Oxford Handbook of the Indian Constitution
The Indian Constitution is one of the world's longest and most important political texts. Its birth, over six decades ago, signalled the arrival of the first major post-colonial constitution and the world's largest and arguably most daring democratic experiment. Apart from greater domestic focus on the Constitution and the institutional role of the Supreme Court within India's democratic framework, recent years have also witnessed enormous comparative interest in India's constitutional experiment. The Oxford Handbook of the Indian Constitution is a wide-ranging, analytical reflection on the major themes and debates that surround India's Constitution. The Handbook provides a comprehensive acc...
Vaccines
Microbes that elude host's defenses and have developed resistance to the existing antibiotic arsenal continuously invade the human body. Cure for such diseases is inevitable as it may result in high morbidity and mortality, if not properly treated. Vaccination represents the most cost-effective way for disease prevention. Vaccines activate sentinels of the immune system including macrophages and T, B, and dendritic cells to release a battery of effector molecules and cytokines and ward off infection. For long-lasting protection, the memory cells also need to be evoked. This book encompasses biotechnological vaccines in clinical use, cocooning, disease resurgence postvaccination and other vaccine adverse effects, prospects of therapeutic versus prophylactic vaccines, and design of effective vaccines using bioinformatic tools and engineering molecular pattern interactions.
Cyber Security Meets Machine Learning
Machine learning boosts the capabilities of security solutions in the modern cyber environment. However, there are also security concerns associated with machine learning models and approaches: the vulnerability of machine learning models to adversarial attacks is a fatal flaw in the artificial intelligence technologies, and the privacy of the data used in the training and testing periods is also causing increasing concern among users. This book reviews the latest research in the area, including effective applications of machine learning methods in cybersecurity solutions and the urgent security risks related to the machine learning models. The book is divided into three parts: Cyber Securit...
The Use of Humic Acid in Nematode Management
Phytonematodes are small microscopic invertebrate animals living in the soil as parasites of many plants. Many plant-parasitic nematodes establish strong host-parasitic relations with major food, fruit, vegetable, and allied crops, resulting in a drastic yield loss globally. To control or manage these nematode menaces, farmers or growers use toxic fumigants, as well as non-fumigant chemical nematicides frequently. It is necessary to adopt eco-friendly products to tackle the nematode problem. This book explains the nature of nematodes, the role of organic methods and organic acids in nematode control, and the role of humic acid in agriculture, plant disease control, phytonematode control, nematode control. It also details the success of research trials on phytonematode control using humic acid on banana and citrus nematodes, as well as its compatibility with available biocontrol agents and its future prospects.
A New Era for Microbial Corrosion Mitigation Using Nanotechnology
This book focuses on corrosion and microbial corrosion, providing solutions for these problems based on nanotechnology and nanobiotechnology. It introduces the causes, consequences, cost and control of corrosion processes. It gives a particular emphasis on microbial corrosion of steel and other metals in oil, gas and shipping industries. The book presents the materials vulnerable to such kind of corrosion, and the use of nanomaterials to control it.
Biocontrol Agents
This book describes entomopathogenic and slug parasitic nematodes as potential biocontrol agents in crop insect and slug pest management. Addressing research on these two nematodes from tropical, subtropical and temperate countries, it covers the new techniques and major developments regarding mass production, formulation, application, commercialization and safety measures. Plans for future strategies to make these beneficial nematodes cost-effective and expand their use by including them in integrated pest management programmes in different agro-ecosystems are also discussed. Biocontrol Agents: Entomopathogenic and Slug Parasitic Nematodes provides a comprehensive review of the topic and is an essential resource for researchers, industry practitioners and advanced students in the fields of biological control and integrated pest management.
