The accumulation of tailings from gold mining and smelting may result in PTE pollution. We investigated PTE contamination from a large amalgamated gold mine tailings pond in Pinggu County, Beijing. In November 2017, 30 soil samples were collected around the tailings pond. The concentrations and pollution degree of PTEs in the samples and the sources of Sb, As, Cd, Cu, Pb, Zn and Hg were analyzed. The average concentration of these elements in soil samples near the tailings pond (16.24, 28.29, 0.99, 171.04, 263.25, 99.73, 0.72 mg/kg, respectively) were higher than their corresponding standard values and background values of the study area. The geoaccumulation index showed that the pollution degree of As, Pb and Hg was moderate, while Sb and Cu present non-pollution to moderate pollution. The average EF values of the elements were Sb (38.31), As (4.23), Cd (0.71), Cu (3.68), Pb (21.24), Zn (0.82) and Hg (5.29), respectively. The environmental risk assessment developed throughout the PERI method indicated that Sb, As, Hg and Pb were the main pollutants in the study area. The three quantitative risk indicators (RI, Igeo and EF) were positively correlated, and all of them indicated that PTEs had significant pollution to the local area. Thus, Sb, As, Pb, Cu, and Hg pollution should be highly concerning. Multivariate statistical analysis shows that the pollution of PTEs was mainly caused by the accumulation of tailings ponds after gold mining and smelting. The research result is of great significance for the prevention and control of soil pollution of PTEs near the tailings pond.Indigenous Australians experience significantly poorer health compared to other Australians, with chronic disease contributing to two-thirds of the health gap. We report on an evaluation of an innovative model that leverages mainstream and Aboriginal health resources to enable safe, supported transfer of care for Aboriginal adults with chronic conditions leaving hospital. The multisite evaluation was Aboriginal-led and underpinned by the principles of self-determination and equity and Indigenous research protocols. The qualitative study documented processes and captured service user and provider experiences. We found benefits for patients and their families, the hospital and the health system. The new model enhanced the patient journey and trust in the health service and was a source of staff satisfaction. Challenges included staff availability, patient identification and complexity and the broader issue of cultural safety. Critical success factors included strong governance with joint cultural and clinical leadership and enduring relationships and partnerships at the service delivery, organisation and system levels. A holistic model of care, bringing together cultural and clinical expertise and partnering with Indigenous community organisations, can enhance care coordination and safety across the hospital-community interface. It is important to consider context as well as specific program elements in design, implementation and evaluation.Physical activity (PA) reduces the risk of cognitive decline (CD) in the general population. However, little is known about whether the presence of the apolipoprotein E epsilon 4 allele (APOE e4) could modify this beneficial effect. The aim of this systematic review was to analyze and synthetize the scientific evidence related to PA levels and CD risk in cognitively healthy APOE e4 carriers. Four electronic databases were analyzed. Only original articles with longitudinal study design were selected to analyze the relationship between PA and CD in APOE e4 carriers. Five studies were included in the systematic review. All studies except one stated that PA is a protective factor against CD in APOE e4 carriers. Moreover, partial support was found for the hypothesis that a greater amount and intensity of PA are more beneficial in CD prevention. The results support the idea that PA is a protective factor against CD in APOE e4 carriers. Nevertheless, it would be necessary to carry out further studies that would allow these findings to be contrasted.Due to the nature of their work, trauma nurses are exposed to traumatic situations and often experience burnout. We conducted a cross-sectional study examining compassion satisfaction, secondary traumatic stress, and burnout among trauma nurses to identify the predictors of burnout. Data were collected from 219 nurses in four trauma centers in South Korea from July to August 2019. We used the Traumatic Events Inventory to measure nurses' traumatic experience and three Professional Quality of Life subscales to measure compassion satisfaction, secondary traumatic stress, and burnout. Multiple regression analysis confirmed that compassion satisfaction and secondary traumatic stress significantly predicted nurses' burnout, with compassion satisfaction being the most potent predictor. The regression model explained 59.2% of the variance. Nurses with high job satisfaction, high compassion satisfaction, and low secondary traumatic stress tend to experience less burnout than their counterparts. Nurse managers should recognize that strategies to enhance job and compassion satisfaction and decrease secondary traumatic stress are required to decrease burnout among nurses in trauma centers.Spectrophotometric techniques provide qualitative but not quantitative data on lung particles. We aimed to quantitate silica content in biopsies of lung-transplanted silicosis patients by applying X-ray fluorescence (XRF) spectrometry. Lung biopsies of 17 lung-transplanted artificial patients were quantitated for silica and other minerals particles by Niton XL3 XRF spectrometry. Occupational and clinical history data were assessed. Lung biopsies of artificial stone-induced silicosis (ASIS) patients contained significantly higher levels of silica compared to those of idiopathic pulmonary fibrosis (IPF) patients (7284.29 ± 4693.75 ppm vs. https://www.selleckchem.com/products/abtl-0812.html 898.88 ± 365.66 ppm, p less then 0.0001). Silica content correlated negatively with age, body mass index, and pulmonary function test results. A 1128 ppm silica cut-off value yielded 100% sensitivity and 94% specificity for predicting ASIS (AUC = 0.94, p less then 0.0001). In conclusion, XRF measurements in lung biopsies can differentiate between silica and mineral particles in ASIS and IPF.