Cardiovascular disease (CVD) is the leading cause of morbidity and mortality in the United States and most westernized nations. Both CVDs and their risk factors confer substantial risk for stroke and dementia, but are also associated with more subtle changes in brain structure and function and cognitive performance prior to such devastating clinical outcomes. It has been suggested that there exists a continuum of brain abnormalities and cognitive difficulties associated with increasingly severe manifestations of cardiovascular risk factors and diseases that precede vascular cognitive impairment and may ultimately culminate in stroke or dementia. This second edition examines the relations of a host of behavioral and biomedical risk factors, in addition to subclinical and clinical CVDs, to brain and cognitive function. Associations with dementia and pre-dementia cognitive performance are reported, described, and discussed with a focus on underlying brain mechanisms. Future research agendas are suggested, and clinical implications are considered. The volume is a resource for professionals and students in neuropsychology, behavioral medicine, neurology, cardiology, cardiovascular and behavioral epidemiology, gerontology, geriatric medicine, nursing, adult developmental psychology, and for other physicians and health care professionals who work with patients with, or at risk for, CVDs.

This book systematically examines and quantifies industrial problems by assessing the complexity and safety of large systems. It includes chapters on system performance management, software reliability assessment, testing, quality management, analysis using soft computing techniques, management analytics, and business analytics, with a clear focus on exploring real-world business issues. Through contributions from researchers working in the area of performance, management, and business analytics, it explores the development of new methods and approaches to improve business by gaining knowledge from bulk data. With system performance analytics, companies are now able to drive performance and provide actionable insights for each level and for every role using key indicators, generate mobile-enabled scorecards, time series-based analysis using charts, and dashboards. In the current dynamic environment, a viable tool known as multi-criteria decision analysis (MCDA) is increasingly being adopted to deal with complex business decisions. MCDA is an important decision support tool for analyzing goals and providing optimal solutions and alternatives. It comprises several distinct techniques, which are implemented by specialized decision-making packages. This book addresses a number of important MCDA methods, such as DEMATEL, TOPSIS, AHP, MAUT, and Intuitionistic Fuzzy MCDM, which make it possible to derive maximum utility in the area of analytics. As such, it is a valuable resource for researchers and academicians, as well as practitioners and business experts.