Optical imaging is a rapidly emerging imaging technique that has been successfjully translated into biomedical applications ranging from clinical diagnosis to molecular biology. This book includes an introductory section to explore various optical imaging devices and their functionality and roles for biomedical applications such as dermatology and ophthalmology. Recent developments as exemplified with the authors research are explored in detail. In depth discussion of other disease conditions and their diagnosis with optical imaging techniques are also covered.

Radar Remote Sensing: Applications and Challenges advances the scientific understanding, development, and application of radar remote sensing using monostatic, bistatic and multi-static radar geometry. This multidisciplinary reference pulls together a collection of the recent developments and applications of radar remote sensing using different radar geometry and platforms at local, regional and global levels. Radar Remote Sensing is for researchers and practitioners with earth and environmental and meteorological sciences, who are interested in radar remote sensing in ground based scatterometer and SAR systems; air borne scatterometer and SAR systems; space borne scatterometer and SAR systems.

Optical imaging is a rapidly emerging imaging technique that has been successfjully translated into biomedical applications ranging from clinical diagnosis to molecular biology. This book includes an introductory section to explore various optical imaging devices and their functionality and roles for biomedical applications such as dermatology and ophthalmology. Recent developments as exemplified with the authors research are explored in detail. In depth discussion of other disease conditions and their diagnosis with optical imaging techniques are also covered.

This book explains the fundamental characteristics and biofunctionality of Alzheimer’s Disease drug targets and provides up-to-date information on the full range of their biomedical applications. An introductory section gives an overview of the recent developments related to drug targets identified and studied related to Alzheimer’s Disease and key developments from preclinical and clinical studies focusing on various molecular targets related to AD and dementia by subject experts all around the globe. Here, individual chapters address the progress and perspectives in human and non-human research, role of various biomarkers as an overview, advanced gene therapy, and novel compounds for therapeutic targets for Alzheimer’s disease. The book will be essential reading for graduate students, scientists, and engineers in any of the biomedical research fields in which efforts are being made to utilize novel drug targets and develop effective strategies for new drug targeting and delivery in Alzheimer’s disease treatment.

Analytical tools and algorithms are essential in business data and information systems. Efficient economic and financial forecasting in machine learning techniques increases gains while reducing risks. Providing research on predictive models with high accuracy, stability, and ease of interpretation is important in improving data preparation, analysis, and implementation processes in business organizations. Machine Learning Techniques for Improved Business Analytics is a collection of innovative research on the methods and applications of artificial intelligence in strategic business decisions and management. Featuring coverage on a broad range of topics such as data mining, portfolio optimization, and social network analysis, this book is ideally designed for business managers and practitioners, upper-level business students, and researchers seeking current research on large-scale information control and evaluation technologies that exceed the functionality of conventional data processing techniques.

The heavy metal Chromium has several oxidation states but it occurs predominantly in two forms: trivalent (Cr3]) and hexavalent (Cr6+) states. Unlike trivalent chromium, the hexavalent form rarely exists naturally being originated by anthropogenic sources. Hexavalent chromium (Cr (VI)) is very often an issue in ecotoxicity studies for two main reasons: (i) due to its importance as a pollutant that threats especially aquatic ecosystems and (ii) due to its value as a reference toxicant in standard toxicity tests. Cr (VI) is used in industry (wood preservation, leather tanning, metal finishing, pigments, refractory, etc., Very often wastes from such industries are used as a fill material at numerous locations where Cr (VI) easily reaches groundwater by leaching and seepage from the soils. The tanning industry especially contributes to chromium aquatic pollution, being estimated that in India alone about 2000 to 3200 tone of elemental chromium escape into the environment annually. Generally these works show that Cr (VI) acts as a strong oxidizing agent.

A book on agriculture microbiology should include a study of the occurrence of microorganisms in the soil, their activities and their role in soil processes. It is this last phase which has been studied least and where the information available is far from satisfactory in explaining what is taking place in the soil. This is due largely to the limitations of the subject which depends for its advance on botany, zoology, bacteriology, chemistry, including biological and physical, and especially upon the advance of our understanding of the physical and chemical conditions of the soil. There are various kinds of audiences to which a book on soil micro-biology may appeal. There is the scientific farmer who may search for a better understanding of the processes taking place in the soil, those processes which control the growth of his crops and indirectly influence the growth of his animals. There is the agronomist, who is interested in the fundamental reactions controlling soil fertility.This book will be useful not only for students, teachers, and researchers but also for those interested in agriculture microbiology, plant pathology, ecology, environmental science, and agronomy.

Today, organizational stress is fetching as a matter of concern to the top management in every organization. Industries, especially financial institutions across the world has witnessed rapid and striking changes at organizational level, that is attributable to economic crisis, globalization, liberalization, increased competition, downsizing, introduction of new technologies, mergers and acquisition etc. Resultant manifestations of these changes are precipitated in the form of acute job stress to both employers as well as employees. Stress affects the human potential in the organization, leads to reduced quality, productivity, health as well as well-being and morale. Even though several studies have been conducted on medical side of stress, there are only a few readings at psycho social level, as far as the banking sector is concerned. This research based book will provide you best of knowledge on occupational stress and coping strategies of employees in banking sector. The objective of this book is to draw attention from the top level decision makers of banking institutions on effective stress management programs.

Analytical tools and algorithms are essential in business data and information systems. Efficient economic and financial forecasting in machine learning techniques increases gains while reducing risks. Providing research on predictive models with high accuracy, stability, and ease of interpretation is important in improving data preparation, analysis, and implementation processes in business organizations. Machine Learning Techniques for Improved Business Analytics is a collection of innovative research on the methods and applications of artificial intelligence in strategic business decisions and management. Featuring coverage on a broad range of topics such as data mining, portfolio optimization, and social network analysis, this book is ideally designed for business managers and practitioners, upper-level business students, and researchers seeking current research on large-scale information control and evaluation technologies that exceed the functionality of conventional data processing techniques.

Diseases have a history, and understanding that history helps us understand how best to treat and control disease today. Today's students are confronted with a panoply of often-frightening illnesses and afflictions - the Biography of Diseases series provides students with the information that they need to understand the origin of various maladies, how they impact contemporary society, and how doctors and diseases researchers from around the world are fighting to devise treatments to alleviate or cure these. This volume, Rabies, examines that disease that caused fear and panic for centuries because of the horror of dying of rabies and the near certainty of death once one has contracted the disease. And despite the famous vaccine discovered by Louis Pasteur in the 19th centuries, thousands still die of rabies every year in developing countries. Rabies addresses all aspects of this horrifying disease: BLThe history and epidemiology of rabies, and the rabies epidemic among wild animals in the use. BLHow rabies is diagnosed, and the frightening symptoms of hydrophobia and aerophobia. BLHow one get rabies, mostly from bats and wild animals. BLThe treatment of rabies -- there's basically none, with few people who have ever survived once symptoms appear. BLResearch and prevention of rabies. The volume includes a glossary of terms and a bibliography of useful sources for learning more about the disease.

DATA STRUCTURES THROUGH C++ discusses concepts with implementations in a way that is easy use for both undergraduate and postgraduate students. The contents help the students design and implement data structures in C++, analyze various data structures in terms of space and time requirements, how to decide between set of data structures for specific use, and test and improve the implementation of each data structure. This book covers the necessary basics required by the reader to learn data structures in Part I. The text guides the students through the development of Abstract Data Types (ADTs) such as stacks, queues, binary search trees, AVL trees, Red-Black trees, splay trees, searching techniques, dictionaries and skip lists, pattern matching algorithms and tries using templates in Part II. KEY FEATURE: * Set of real time examples and hands on exercises * Objective questions at the end of each chapter * Ready-to-use real code for many of the data structures that are being discussed