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.

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.

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.

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.

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.

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.