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Health of South Asians in the United States
Leading scholars and practitioners come together in this contributed volume to present the most current evidence on cutting edge health issues for South Asian Americans, the fastest growing Asian American population. The book spans a variety of health topics while examining disparities and special health needs for this population. Subjects discussed include: cancer, obesity, HIV/AIDS, women's health, LGBTQ health and mental health. Health of South Asians in the United States presents research-based recommendations to help determine priorities for prevention, diagnosis, treatment, education, and policies which will optimize the health and well-being of South Asian American communities in the United States. Although aimed at both students, healthcare professionals and policy makers, this book will prove to be useful to anyone interested in the health and well-being of the South Asian communities in the United States.
Dying and Living in the Neighborhood
Have neighborhoods been left out of the seismic healthcare reform efforts to connect struggling Americans with the help they need? Even as US spending on healthcare skyrockets, impoverished Americans continue to fall ill and die of preventable conditions. Although the majority of health outcomes are shaped by non-medical factors, public and private healthcare reform efforts have largely ignored the complex local circumstances that make it difficult for struggling men, women, and children to live healthier lives. In Dying and Living in the Neighborhood, Dr. Prabhjot Singh argues that we must look beyond the walls of the hospital and into the neighborhoods where patients live and die to addres...
Economic Incentives for Stormwater Control
Dealing with stormwater runoff in urban areas is a problem that is getting bigger and more expensive. As we cover porous surfaces with impervious structures—commercial buildings, parking lots, roads, and houses—finding places for rainwater and snowmelt to soak in becomes harder. Many landscapers, architects, planners, and others have proposed that the use of "green" localized management practices, such as rain gardens and bio-swales, may function as well as traditional "gray" pipes and basins at reducing the effects of stormwater runoff, and do so in a way that is more attractive in the landscape—and possibly also less expensive. To make stormwater management practices work, however, c...
The Urban Lawyer
The national quarterly on local government law.
Stormwater
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Current Law Index
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The Medical Register
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Challenges and Applications for Implementing Machine Learning in Computer Vision
Machine learning allows for non-conventional and productive answers for issues within various fields, including problems related to visually perceptive computers. Applying these strategies and algorithms to the area of computer vision allows for higher achievement in tasks such as spatial recognition, big data collection, and image processing. There is a need for research that seeks to understand the development and efficiency of current methods that enable machines to see. Challenges and Applications for Implementing Machine Learning in Computer Vision is a collection of innovative research that combines theory and practice on adopting the latest deep learning advancements for machines capable of visual processing. Highlighting a wide range of topics such as video segmentation, object recognition, and 3D modelling, this publication is ideally designed for computer scientists, medical professionals, computer engineers, information technology practitioners, industry experts, scholars, researchers, and students seeking current research on the utilization of evolving computer vision techniques.
