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Fifty-five samples were collected from topsoils around a petrochemical industrial area at the east of Algiers (Algeria) and analyzed for 16EPA priority PAHs in the aim to determine the concentrations, the distributions, and the possible sources of polycyclic aromatic hydrocarbons (PAHs). The results of the quantification are then devoted to the assessment of the potential risks as the toxicity, the risk for the ecosystem, and the risk for the human health. The sampling sites were classified into four categories rural, suburban, urban, and industrial-urban. A new extraction method based on the insertion of a preliminary step, using hot water, was proposed to improve the extraction efficiency. selleck inhibitor Principal component analysis (PCA) and selected diagnostic ratio of PAHs were used to investigate the source apportionment of these PAHs. The potential toxicity, the ecological, and human health risk of PAHs in soil were estimated using the toxic equivalent quotient, the risk quotient, and the total lifetime cancer risk (TLCR) methods, respectively. The proposed new protocol gave improved recovery rates for the sixteen EPA PAHs particularly for low molecular weight PAHs, with satisfactory repeatability (RSD rural. The potential cancer of human health risks calculated through TLCR results indicated that the exposure to the 7EPA PAH-contaminated soils produces negligible cancer risk to human health.Heavy metal contamination of Hg, As, Cu, Cr, Zn, and Pb was investigated in three different fractions 45, 125, and 200 μm of road dust in Muscat, Oman. Dust samples were collected from three different traffic roads, viz. high, medium, and low based on traffic volume and then sieved individually before they analyzed using inductively coupled plasma optical emission spectrometry (ICP-OES). Cu has the highest level among the analyzed metals while the lowest amount was for Hg. Most of the metals in all traffic sites have higher concentration in finer fraction and the concentrations of Cu, Pb, and Zn in HT road dust decreased significantly from finer fraction (45 μm) to bigger fraction size (200 μm). The risks of analyzed heavy metals to the urban ecosystem and human health were calculated by the potential ecological risk index and human exposure model, respectively. Risk index levels of studied metals in the three fractions and roads vary from strong to very strong potential. Hg found to have the greatest contribution in risk index in the three different fractions and roads. The values of risk levels for individual metal contamination in the dust street samples from different roads and fractions were ranked in the following order Hg > Cu > Pb > Cr > Zn. Ingestion is the main pathway of exposure to road dust particles for both children and adults, followed by dermal contact absorption. The HI for children and adults exposed to 45- and 125-μm particles were higher than exposed to 200-μm particles, which indicated that finer particles tend to have higher non-carcinogenic risk. The non-carcinogenic risks of the studied heavy metals to children and adults are within safe threshold value; however, health risks of Cr, Pb, and Cu were relatively high for children.This study investigates the relationship between climate change, the area under cultivation, fertilizer consumption, and cotton production in Pakistan from 1980 to 2018. The existence and nature of the short-term and long-term relationships are explored by using an autoregressive distributed lag (ARDL) model bounds testing approach. The estimated result of the ARDL bounds testing approach has shown the presence of cointegration between dependent and explanatory variables. The long-term estimates have revealed that the increasing average temperature has a positive insignificant effect, which implies that rising temperature is not increasing cotton yield in Pakistan. The findings of the area under cultivation and fertilizer consumption have revealed significant positive effects in both the long run and short run. This study urges Pakistan to reduce the pace of climate changes and increase water conservation by planting forests and constructing dams across major rivers along with the adoption of environmentally friendly production techniques and inputs.Introduction Improvement of cognitive function may be desirable for healthy individuals and clinically beneficial for those with cognitive impairment such as from Alzheimer's disease (AD) or mild cognitive impairment (MCI). The aim of this systematic review is to investigate the cognitive effects of oral saffron intake, in patients with MCI/AD and/or in non-demented individuals, by following the PRISMA guidelines. Methods We performed a literature search on MedLine, Cochrane library, and ClinicalTrials.gov to identify randomized controlled trials (RCTs) investigating the effects of oral saffron administration in patients with MCI/AD and/or in non-demented individuals. Results Five studies (enrolling 325 individuals) met our inclusion criteria. Four studies included patients with MCI/AD, and one study included cognitively normal individuals. Saffron was well-tolerated in all groups. Regarding cognitively impaired patients, scores on Alzheimer's Disease Assessment Scale-cognitive subscale or Mini mental state examination were significantly better when saffron was compared with placebo and did not differ significantly when saffron was compared with donepezil or memantine. Saffron effects on functional status were similar with its effects on cognition. Conclusions Saffron was shown to be equally effective to common symptomatic drugs for MCI/AD and resulted in no difference in the incidence of side effects, when compared with placebo or drugs. The promising results should be seen cautiously, since the evidence was derived from studies with potentially high risk of bias (ROB). RCTs with larger sample sizes and low ROB are required to definitively assess the potential role of saffron as an MCI/AD treatment.Purpose We aimed to investigate the association between sleep disturbance and menstrual problems in female Chinese university students. Methods A convenience sample of 1006 female university students participated in this study. Sleep duration, sleep quality, and insomnia symptoms were assessed by the Pittsburgh Sleep Quality Index and the Insomnia Severity Index. A structured questionnaire was used to assess participants' demographics and menstrual characteristics. Results The prevalence rates of irregular menstrual cycle, heavy menstrual bleeding, menstrual flow length ≥ 7 days, period pain, and premenstrual syndrome were significantly higher in participants with sleep disturbance than those without sleep disturbance (all p less then 0.05). After adjusting for potential confounding variables, poor sleep quality and insomnia symptoms were significantly associated with menstrual flow length ≥ 7 days (OR = 1.81, 95% CI = 1.23-2.68, OR = 1.67, 95% CI = 1.13-2.45), period pain (OR = 1.55, 95% CI = 1.02-2.35, OR = 1.

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