This paper presents an integrated exposure monitoring system, based on an expansion of existing air quality monitoring systems using dispersion modelling. The system allows: (1) identifying geographical areas whose inhabitants are most exposed to ambient pollution; (2) identifying how many people in an area are exposed to concentrations of pollution exceeding air quality guidelines; (3) describing the exposure of population subgroups (e.g. children); (4) planning pollution abatement measures and quantifying their effects; (5) establishing risk assessment and management programs, and (6) investigating the short- and long-term effects of both pollutants and pollution sources on public health. The effect of pollution is rarely very large and in order to discover it, exposure estimation must provide data that reflects both spatial and temporal variations. Estimates of pollution exposure are obtained using an integrated approach that combines results of measurements from monitoring programs with dispersion calculations. These values can serve as estimates for individual short-term or long-term exposure. The grouped data allows the expression of ambient pollution concentrations as the spatial distribution of estimates such as the mean or 98th percentile of such compounds as SO2, O3, NO2, PM10 and PM2.5. This integrated approach has been combined into a single software package, AirQUIS.
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BMC Med Res Methodol
January 2025
Prehospital Center Region Zealand, Ringstedgade 61, 14th Floor, Naestved, 4700, Denmark.
Background: Effective interventions to reduce drowning incidents require accurate and reliable data for scientific analysis. However, the lack of high-quality evidence and the variability in drowning terminology, definitions, and outcomes present significant challenges in assessing studies to inform drowning guidelines. Many drowning reports use inappropriate classifications for drowning incidents, which significantly contributes to the underreporting of drowning.
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January 2025
Nursing School, Medical College of Hengyang, University of South China, Hengyang, China.
Background: China is experiencing an increasingly serious aging population. Cognitive function is an important factor and guarantee for the quality of life of older people. Therefore, to achieve healthy aging, this study aimed to examine the sequential multiple mediating effects of indoor ventilation frequency and cognitive function on anxiety and self-rated health in the Chinese older people population.
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January 2025
School of Public Finance and Taxation, Southwestern University of Finance and Economics, Chengdu, 611130, China.
The influence exerted by air pollution on interregional workforce migration has garnered considerable attention in ecological economics over time; however, relatively scant consideration has been given to its effects on occupational transition dynamics. This study presents an empirical examination of the influence of air pollution on job changes among the working population and seeks to understand the underlying causal mechanisms. By merging detailed micro-level survey data with regional Fine particulate matter (PM) data from Chinese counties spanning the years 1997 to 2015, we have constructed an extensive database to support our analysis.
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January 2025
Institute of Agricultural Engineering, Wroclaw University of Environmental and Life Sciences, Chełmońskiego 37/41, Wroclaw, 51-630, Poland.
Humboldt squid (Dosidicus gigas) is the most abundant cephalopod in the fishing industry, and its high nutritional and organoleptic properties make it a go-to food product for consumers. Therefore, developing new processing techniques seems imperative to minimize quality deterioration and provide products with appropriate characteristics. The study aimed to determine the effect of high-pressure impregnation (HPI) pretreatment on hot air-drying kinetics and the quality of Humboldt squid slices.
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January 2025
National Key Lab of Autonomous Intelligent Unmanned Systems, Beijing Institute of Technology, Beijing, 100081, China.
We present an air-to-air multi-sensor and multi-view fixed-wing UAV dataset, MMFW-UAV, in this work. MMFW-UAV contains a total of 147,417 fixed-wing UAVs images captured by multiple types of sensors (zoom, wide-angle, and thermal imaging sensors), displaying the flight status of fixed-wing UAVs of different sizes, appearances, structures, and stabilized flight velocities from multiple aerial perspectives (top-down, horizontal, and bottom-up views), aiming to cover the full-range of perspectives with multi-modal image data. Quality control processes of semi-automatic annotation, manual check, and secondary refinement are performed on each image.
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