Restrictions on movement in Beijing to limit the COVID-19 epidemic tended to reduce the emissions of primary pollutants. However, changes in pollutant concentrations are also affected by chemical transformation and meteorology. Decreases in concentrations were also not as obvious in Beijing when compared with Hubei Province, where lockdown was especially strict. Declines in concentrations between 2019 and 2020 are evident for both NO (37.0 to 26.2 μg m) and SO (5.86 to 4.15 μg m), but there was little evidence of change for PM (50.0 to 53.8 μg m) and CO (0.71 to 0.74 mg m). Despite this, Fourier analysis revealed that the weekly cycle of PM evident in 2019 was not apparent in 2020. In 2019, CO showed both diurnal and weekly signals, but these were absent under the restrictions of 2020. This suggests that while concentrations may remain relatively constant, the temporal distribution of pollutants can show subtle changes under restrictions imposed in attempts to limit the spread of the coronavirus.
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http://dx.doi.org/10.1039/d0fd00082e | DOI Listing |
Br J Clin Pharmacol
December 2024
Centre for Drug Safety Science, Department of Pharmacology and Therapeutics, Molecular & Clinical Pharmacology, Institute of Systems, Molecular and Integrative Biology, University of Liverpool, Liverpool, UK.
Aims: The potential of mechanistic biomarkers to improve prediction of drug-induced liver injury (DILI) and hepatic regeneration is widely acknowledged. We sought to determine reference intervals for new biomarkers of DILI and regeneration, as well as to characterize their natural variability and impact of diurnal variation.
Methods: Serum samples from 227 healthy volunteers were recruited as part of a cross-sectional study; of these, 25 subjects had weekly serial sampling over 3 weeks, while 23 had intensive blood sampling over a 24h period.
Sci Total Environ
December 2024
School of Humanities, Social Sciences and Law, University of Dundee, Nethergate, Dundee DD1 4HN, UK; UNESCO Centre for Water Law, Policy and Science, University of Dundee, Perth Road, Dundee DD1 4HN, UK.
Water quality monitoring at high temporal frequency provides a detailed picture of environmental stressors and ecosystem response, which is essential to protect and restore lake and river health. An effective monitoring network requires knowledge on optimal monitoring frequency and data variability. Here, high-frequency hydrochemical datasets (dissolved oxygen, pH, electrical conductivity, turbidity, water temperature, total reactive phosphorus, total phosphorus and nitrate) from six UK catchments were analysed to 1) understand the lowest measurement frequency needed to fully capture the variation in the datasets; and 2) investigate bias caused by sampling at different times of the day.
View Article and Find Full Text PDFAnimals (Basel)
September 2024
Department of Comparative Medicine, Karolinska Institutet, 171 77 Stockholm, Sweden.
J Acoust Soc Am
September 2024
Blue Ridge Research and Consulting, LLC, Asheville, North Carolina 28801, USA.
The National Transportation Noise Map predicts time-averaged road traffic noise across the continental United States (CONUS) based on annual average daily traffic counts. However, traffic noise can vary greatly with time. This paper outlines a method for predicting nationwide hourly varying source traffic sound emissions called the Vehicular Reduced-Order Observation-based Model (VROOM).
View Article and Find Full Text PDFJ Behav Med
October 2024
Department of Psychology, Iowa State University, Ames, USA.
Planning-based interventions are often used to help individuals form habits. Existing literature suggests a one-size-fits all approach to habit formation, but planning interventions may be optimized if tailored to individual differences and/or behavioral complexity. We test the hypothesis that planning to do a relatively complex behaviour (exercise) at a time that matches an individuals' diurnal preference will facilitate behavioral engagement; whereas for a simpler behaviour (calcium supplementation), the optimal time-of-day for a new behavior will occur in the morning.
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