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Association between levels of traffic noise > 55 dB and severe insomnia symptoms (≥ 5 nights/week) in the total study population (OR = 1.31; 95% CI: 1.02, 1.68) was similar to that for insomnia symptoms ≥ 2 nights/week.
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An increasing number of scientific studies have also shown a correlation between levels of traffic-related pollution and respiratory symptoms including asthma, particularly in children.
The objective of the current study is to evaluate the association between levels of traffic-related HAPs and cervical dysplasia, a precursor lesion for cervical cancer, in a multi-ethnic sample of women receiving cervical cancer screening and diagnostic services in Houston, Texas.
Thus, we were able to study the association between levels of nighttime traffic noise with perceived sleep disturbances in a population-level setting in which participants were blinded to the aim of the study.
The paper, analyzing different network topologies under different traffic assumptions, shows that the proposed strategies guarantee a good performance differentiation between two levels of traffic priority.
We will begin by looking at the relationship between overall levels of traffic to the general political articles in different language editions of Wikipedia and electoral turnout.
This paper draws on census data, mode choice, and regional household travel survey data to investigate the relationship between the varying levels of traffic stress (LTS) routes and bicycle travel behavior.
The association between daily levels of traffic-related air pollutants and ER attendance for respiratory causes was analysed by a conditional logistic regression model, and odds ratios (OR) of exposures were calculated to quantify the increase in risk according to an increase of 10 μg/m3 in PM10, NO2, SO2, and 1 mg/m3 in CO exposure; 95% confidence intervals (CI) were calculated.
We observed no consistent associations between levels of PM2.5 or residential traffic exposure and systemic inflammatory markers in women.
We investigated heterogeneity in the association between PM2.5 and BP by levels of traffic related exposures [living close (≤ 300 m) to a highway, surrounded by a high density of roads, high NO2 exposure], for levels of SO2 and CO, and for weather variables.
Relative to more traditional traffic stats services, Clickdensity could use something in between those levels for bloggers with moderate levels of traffic.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com