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Now showing items 401-406 of 406
Measuring and comparing the spatiotemporal evolution of accident hot spots
(University of Missouri--Columbia, 2022)
One reality of transportation systems is that vehicular accidents can happen practically anywhere and at any time. An increasing body of research suggests though that spatial and/or temporal dependencies (i.e., clusters ...
Adaptive apparel advocacy : a case study exploring how Mindy Scheier catalyzed the adaptive apparel market
(University of Missouri--Columbia, 2020)
The purpose of this study is to gain an in-depth, holistic, and contextualized understanding of how Mindy Scheier catalyzed the adaptive apparel market by exploring her role as an adaptive apparel advocate and her collaboration ...
An economic analysis of the agricultural development potential for Southern Honduras
(University of Missouri--Columbia, 1975)
The study was conducted in the Valle and Choluteca Districts of Southern Honduras in 1974. The objectives of the study were (1) to identify input-output relationships for selected crops; (2) determine current and potential ...
Resource extraction, resistance, and religion in Nicaragua
(University of Missouri--Columbia, 2019)
My dissertation examines the causes of protest over resource extraction in Nicaragua, and underlines the role of religion as a catalyst for sustained and successful challenges against resource extraction. With few exceptions, ...
Three studies on psychological distress, health-risk behaviors, and health care access among Chinese, Filipino, and Asian Indian American Subgroups
(University of Missouri--Columbia, 2020)
Asian Americans are the fastest-growing ethnic minority population in the United States. Among this group, Chinese-, Filipino-, and Asian Indian Americans are the most three largest Asian American subgroups. Yet, health-related ...
Power efficient machine learning-based hardware architectures for biomedical applications
(University of Missouri--Columbia, 2023)
The future of critical health diagnosis will involve intelligent and smart devices that are low-cost, wearable, and lightweight, requiring low-power, energy-efficient hardware platforms. Various machine learning models, ...