• Sosa Jantzen posted an update 6 months, 2 weeks ago

    046 and p = .043, respectively). However, other parameters were not affected. In conclusion, it seems that most HRV parameters were not affected by GSM signal exposure in our study. The weak effect observed on HRV frequency-domain is likely to represent a random occurrence rather than a real effect.Obtaining two-dimensional distributions of reactive phosphorus in sediment porewater is very important for understanding fine-scale phosphorus mobilization and sequestration processes in sediments. In this study, the diffusive equilibrium in thin films (DET) measurement based on computer imaging densitometry (CID) was studied in detail with optimal conditions described. This study focuses on evaluating the two-dimensional colorimetric DET method coupled with CID (DET-CID method) for porewater labile phosphate measurements. The result shows that the red channel filter is the optimum channel for sensitivity to process the image. Additionally, staining time and temperature have great influence on the method, and 20 min staining time and ≥25 °C staining temperature were recommended. The minimum detection limit of labile phosphate of this method was 0.300 mg P/L, and the maximum detection limit could reach 50.00 mg P/L. The DET-CID technique can be used to measure labile phosphate in a wide range of acidic and alkaline water bodies (pH = 2-10 and water hardness from 0 to 2000 mg/L as CaCO3). The linear regression analysis shows that this technique presents very similar results compared with other two existing methods (R2 = 0.999). Our results would give insights into the precisely measurements of labile phosphate in field applications.

    Associations between ambient air pollution and stillbirth have recently been explored, but most studies have focused on long-term (trimester or gestational averages) rather than short-term (within one week) air pollution exposures.

    To evaluate whether short-term exposures to criteria air pollutants are associated with increased risk of stillbirth.

    Using air pollution and fetal death certificate data from 1999 to 2009, we assessed associations between acute prenatal air pollution exposure and stillbirth in California. In a time-stratified case-crossover study, we analyzed single day and/or cumulative average days (up to a 6 day lag) of exposure to fine (PM

    ) and coarse particles (PM

    ), ozone (O

    ), nitrogen dioxide (NO

    ), sulfur dioxide (SO

    ), and carbon monoxide (CO) for mothers estimated to reside within 10km of a pollution monitor based on reported zip code. We also examined potential confounding by apparent temperature or co-pollutants, and effect modification by maternal demographic factors, fetence for associations between prenatal short-term air pollution exposure, specifically SO2, O3, and PM10-2.5, and stillbirth in California and warrants replication of findings in other settings.

    Prolonged sleep latency is associated with far-reaching public health consequences. Although evidence about the effect of air pollution on sleep problem has been shown, the effect on sleep latency remained unknown. 3-Methyladenine cell line The study aimed to analyze the association between long-term exposure to air pollution and prolonged sleep latency in rural China.

    In all, 27935 participants were included in the study from Henan Rural Cohort Study. A satellite-based spatiotemporal model was used to evaluate the 3-year average concentration of air pollutants at the home address of participants before the baseline survey. Air pollutants included NO

    (nitrogen dioxide), PM

    (particulate matter with aerodynamic diameters ≤1μm), PM

    (particulate matter with aerodynamic diameters≤2.5μm), and PM

    (particulate matter with aerodynamic diametes≤10μm). A logistic regression model was conducted to assess the odds ratio (OR) and 95% confidence interval (95% CI) between air pollutants and prolonged sleep latency.

    There were 5825 (20.85%) participants with prolonged sleep latency. The average concentration of NO

    , PM

    , PM

    , and PM

    were 38.22 (2.54) μg/m

    , 56.29 (1.75) μg/m

    , 72.30 (1.87) μg/m

    , and 130.01 (4.58) μg/m

    . The odds ratio (95%CI) of prolonged sleep latency with an IQR increase of NO

    , PM

    , PM

    , and PM

    were 1.59 (1.33-1.90), 1.23 (1.13-1.33), 1.28 (1.13-1.45) and 1.43 (1.22-1.67). The stratified analysis showed the effect of air pollutants was stronger among those with stroke.

    Long-term exposure to NO

    , PM

    , PM

    and PM

    were associated with prolonged sleep latency. The adverse impact of air pollution should be considered when treating sleep problems.

    Long-term exposure to NO2, PM1, PM2.5 and PM10 were associated with prolonged sleep latency. The adverse impact of air pollution should be considered when treating sleep problems.This study employs dynamic panel data for 34 Sub Saharan Africa (SSA) countries for the period 1984-2016 to estimate the effects of renewable energy on environmental quality measured by three indicators, namely, per capita CO2 emissions, energy intensity (EI) and Aggregate National Savings (ANS). The study leveraged a battery of second-generation econometric tests and estimation and causality methods to obtain the coefficients between the regressed and the regressors. Results reveal that use of renewable energy reduces CO2 emissions and energy intensity while it enhances ANS. Economic growth still seems to be expensive for the region as it stimulates CO2 emissions. However, it has a positive effect on ANS. As expected, fossil fuels exacerbate CO2 emissions and energy intensity. FDI is found to be detrimental for the environment of SSA region with its positive significant coefficient on CO2 emissions. Financial development is reported to reduce CO2 emissions. Some causal links between variables are also noted.

    Household air pollution (HAP) from combustion of biomass fuel, such as wood and animal dung, is among the leading environmental risk factors for preventable disease. Close to half of the world’s population relies on biomass cookstoves for their daily cooking needs. Understanding factors that affect HAP can inform measures to maximize the effectiveness of cookstove interventions in a cost-effective manner. However, the impact of kitchen and household characteristics, as well as the presence of secondary stoves, on HAP concentrations is poorly understood in Puno, Peru.

    To explore how household characteristics explain variability of kitchen area concentrations and personal exposures to CO, PM

    and BC from biomass cookstoves among women in rural Peru.

    Household characteristics (including kitchen materials and layout, wealth, and cooking behaviors) and HAP measurements were collected from 180 households in Puno, Peru, from baseline measurements of a randomized trial. Kitchen area concentrations and personal exposures to carbon monoxide (CO), fine particulate matter (PM

    ) and black carbon (BC) were sampled for 48h.

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