We systematized the study of the effect of glare on reaction time (RT), for visual conditions similar to the ones found during night driving: Mesopic range of adaptation (0.14 cd/m2), glare levels of the order of those produced by car headlights (E(G)=15, 60 lx), suprathreshold luminance contrasts, and a variety of spatial frequencies covering the selected range of visibility (1, 2, 4, and 8 c/deg). We found that for the no-glare situation, RT increases with decreasing contrast and increasing spatial frequency, which agrees with previous findings. When data are plotted as a function of the inverse of contrast, RT varies linearly, with k--the RT-contrast factor of Pieron's law--representing the slope of the lines. The effect of glare on RT is an increase in the slope of these lines. This effect is different for each spatial frequency, which cannot be accounted for in the classic approach considering that glare can be replaced by a single veiling luminance. We show that the effect of glare on RT must be modeled by an equivalent glare luminance that depends on spatial frequency.
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http://dx.doi.org/10.1364/josaa.25.001790 | DOI Listing |
Eur J Med Res
January 2025
Clinical Research and Big Data Center, South China Research Center for Acupuncture and Moxibustion, Medical College of Acu-Moxi and Rehabilitation, Guangzhou University of Chinese Medicine, Guangzhou, China.
Objectives: Poststroke dysphagia (PSD) is a common complication after stroke but there is limited information on its global prevalence and influencing factors, such as spatial, temporal, demographic characteristics, and stroke-related factors. Our study seeks to fill this knowledge gap by exploring the overall prevalence of PSD and its influencing factors.
Methods: A search of English-language literature from database inception from 2005 until May 2022 was performed using PubMed, Embase, Web of Science, Cochrane Library, and Scopus.
J Expo Sci Environ Epidemiol
January 2025
Environmental Research Group, School of Public Health, Imperial College London, London, UK.
Background: Accurate estimates of personal exposure to ambient air pollution are difficult to obtain and epidemiological studies generally rely on residence-based estimates, averaged spatially and temporally, derived from monitoring networks or models. Few epidemiological studies have compared the associated health effects of personal exposure and residence-based estimates.
Objective: To evaluate the association between exposure to air pollution and cognitive function using exposure estimates taking mobility and location into account.
J R Soc Interface
January 2025
Mathematical Institute, University of Oxford, Oxford, UK.
Random walks and related spatial stochastic models have been used in a range of application areas, including animal and plant ecology, infectious disease epidemiology, developmental biology, wound healing and oncology. Classical random walk models assume that all individuals in a population behave independently, ignoring local physical and biological interactions. This assumption simplifies the mathematical description of the population considerably, enabling continuum-limit descriptions to be derived and used in model analysis and fitting.
View Article and Find Full Text PDFFront Public Health
January 2025
Biosecurity, Los Alamos National Laboratory, Los Alamos, NM, United States.
Research typically promotes two types of outcomes (inventions and discoveries), which induce a virtuous cycle: something suspected or desired (not previously demonstrated) may become known or feasible once a new tool or procedure is invented and, later, the use of this invention may discover new knowledge. Research also promotes the opposite sequence-from new knowledge to new inventions. This bidirectional process is observed in geo-referenced epidemiology-a field that relates to but may also differ from spatial epidemiology.
View Article and Find Full Text PDFBMJ Open
December 2024
Health Policy Research Center, Guangxi Medical University, Nanning, Guangxi, China
Objective: The purpose of this study is to analyse the changes in the equity of intensive care unit (ICU) bed allocation in 14 cities in China's Guangxi Zhuang Autonomous Region from 2018 to 2021, to identify the problems in the process of ICU bed allocation in China's ethnic minority regions.
Design: The Gini coefficient, Theil index, health resource density index, and spatial correlation analysis were used to analyse the current status of ICU bed resource allocation and allocation equity in Guangxi, China, on two dimensions: geography, and population.
Setting: The Guangxi Zhuang Autonomous Region.
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