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Rural Roads to cognitive Resilience (RRR): A prospective cohort study protocol.
PLoS One
January 2025
C.E. Lynn College of Nursing, Florida Atlantic University, Boca Raton, FL, United States of America.
Background: Ambient air pollution, detrimental built and social environments, social isolation (SI), low socioeconomic status (SES), and rural (versus urban) residence have been associated with cognitive decline and risk of Alzheimer's disease and related dementias (ADRD). Research is needed to investigate the influence of ambient air pollution and built and social environments on SI and cognitive decline among rural, disadvantaged, ethnic minority communities. To address this gap, this cohort study will recruit an ethnoracially diverse, rural Florida sample in geographic proximity to seasonal agricultural burning.
View Article and Find Full Text PDFA Qualitative Model Demonstrating the Adaptation of Amphibians to Semi-Arid and Arid Habitats: Comparing the Green Toad (Pallas, 1771) and (Camerano, 1882).
Animals (Basel)
November 2024
MIGAL-Galilee Research Institute, P.O. Box 831, Kiryat Shmona 1101602, Israel.
In this brief article, the green toad () and the Levant water frog () were compared to better understand the adaptations needed by amphibians, specifically the green toad, to survive in arid regions and to inhabit a wide range of habitats. The information mainly comes from data gathered in Israel, a nation experiencing a shift from Mediterranean to desert ecosystems where both amphibian species can be found. Using these data, a qualitative model is put forward that showcases the differences between these two amphibians and illustrates how the green toad has adapted to arid environments.
View Article and Find Full Text PDFGender disparities in rural motorcycle accidents: A neural network analysis of travel behavior impact.
Accid Anal Prev
February 2025
Department of Production Engineering, Faculty of Engineering, King Mongkut's University of Technology Thonburi, Bangkok, Thailand. Electronic address:
Rural road accidents involving motorcycle riders present a formidable challenge to road safety globally. This study offers a comprehensive gender-based comparative analysis of rural road accidents among motorcycle riders, aimed at illuminating factors contributing to accidents and discerning potential gender disparities in accident rates and severity. Employing a sophisticated Neural Network approach, the research delves into the intricate relationship between various variables and accident outcomes, with a specific emphasis on identifying gender-specific patterns.
View Article and Find Full Text PDFMAGT-toll: A multi-agent reinforcement learning approach to dynamic traffic congestion pricing.
PLoS One
November 2024
School of Management, Chongqing University of Technology, Chongqing, China.
Modern urban centers have one of the most critical challenges of congestion. Traditional electronic toll collection systems attempt to mitigate this issue through pre-defined static congestion pricing methods; however, they are inadequate in addressing the dynamic fluctuations in traffic demand. Dynamic congestion pricing has been identified as a promising approach, yet its implementation is hindered by the computational complexity involved in optimizing long-term objectives and the necessity for coordination across the traffic network.
View Article and Find Full Text PDFPersonality, functional performance, and travel patterns related to older drivers' risky driving behavior: A naturalistic driving study.
Accid Anal Prev
January 2025
Institute of Materials and Systems for Sustainability, Nagoya University, Japan. Electronic address:
Older drivers are among the most vulnerable demographics within the road traffic system. The rising number of elderly motorists has raised public concern regarding their driving safety. It is crucial to understand the factors influencing risky driving behaviors among older drivers to enhance their safety.
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