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Dennis Kondrup posted an update 1 year, 6 months ago
The key step for Cl(-I) removal was identified as the formation of ·Cl or ·Cl2- from the oxidation of Cl(-I) by ·SO4- and ·OH, and their contribution ratios were estimated to be 67.4% and 32.6%, respectively.Gold is one of the potential toxic heavy metals. In the present study, Au3+ was detected and removed by newly-designed fluorescent microspheres (MF-CDs), i.e. melamine formaldehyde microspheres incorporated with N and S co-doped carbon dots (N,S-CDs). N,S-CDs played the role as sensing unites and melamine formaldehyde microspheres (MF) as carriers. When MF-CDs were attempted as the fluorescence probe, enhanced fluorescence sensing performance towards Au3+ was achieved with wider linear range (0.05-2 μM) and lower limit of detection (31 nM) compared to the N,S-CDs probe. In addition, when MF-CDs were used as the adsorbent, the adsorption capacity towards Au3+ reached up to 1 mmol g-1, about ten times more than that of MF. Moreover, the Au3+ adsorbed on the MF-CDs could be in-situ transferred to gold nanoparticle (AuNP), forming the immobilized nanocatalyst, i.e. MF-CDs-AuNP, which could further assist the reduction of 4-nitrophenol with acceptable reusability. This study paved an avenue to design the multifunctional materials for simultaneous detection, removal and recycling of environmental concerned pollutants.Carbon dots (CDs) with gradient-changed quantum yield (QY) were prepared by regulating the graphitic N and hydroxyl group contents. Then, the QY effect of CDs on plant photosynthesis was studied using chloroplasts and rice plants. After incubation for 2 h in the dark, CDs entered into the chloroplasts and converted ultraviolet radiation to photosynthetically active radiation. By this mechanism, CD10.2 (300 μg·mL-1) with a moderate QY of 46.42% significantly increased the photosynthetic activity of chloroplast (200 μg·mL-1) to reduce DCPIP and ferricyanide by 43.77% and 25.45%, respectively. Erdafitinib After spraying on rice seedlings, CD10.2 (300 μg·mL-1) was evenly distributed in the leaves and resulted in maximum increases in the electron transport rate and photosynthetic efficiency of photosystem II by 29.81% and 29.88%, respectively. Furthermore, CD10.2 significantly increased the chlorophyll content and RuBisCO carboxylase activity of rice by 64.53% and 23.39%, respectively. Consequently, significant increases were observed in the growth of CD10.2-treated rice, including 18.99%, 64.31%, and 61.79% increases in shoot length, dry weights of shoot and root. These findings contribute to the exploitation of solar energy and agricultural production using CDs in the future.Antibiotics are administered to the vast majority of preterm newborns and to a substantial proportion of term infants in the hours after birth due to risk for early-onset sepsis. The approaches taken to determine which newborns should be evaluated for early-onset sepsis, and what type and duration of antibiotics are administered, are important elements of neonatal antibiotic stewardship. The use of multivariate prediction models for sepsis risk assessment among infants born ≥35 weeks’ gestation can safely reduce the use of empiric antibiotic therapy. Approaches incorporating serial physical examination may also contribute to decreasing empiric antibiotic exposure among such infants. Among infants born less then 35 weeks’ gestation, delivery characteristics can be used to identify preterm infants at low enough risk of early infection that empiric therapies are not required. Data informing the epidemiology, microbiology and antibiotic susceptibility patterns of early-onset sepsis pathogens can be used to optimize antibiotic choice for empiric and targeted antibiotic therapy to ensure that effective therapies are administered, while decreasing the risks associated with broad-spectrum antibiotic exposure. Optimal use of blood culture and time to positivity data can also contribute to decreasing the risks associated with prolonged antibiotic administration in the face of sterile cultures.
We explore whether a cash incentive to see a primary care provider (PCP) improves self-reported depression, anxiety, and pain among low-income patients in a randomized trial.
Secondary outcomes of a randomized controlled trial, enrolling low-income uninsured adults to receive cash incentives ($0, $25, $50) to see a PCP.
Interview data was collected at enrollment and 12 months later. Health outcomes were measured with the PROMIS depression, anxiety, and pain interference scales. We estimated adjusted logistic regressions to determine whether self-reported improvements occurred in depression, anxiety, or pain.
981 subjects completed surveys 12 months following study enrollment (80% retention). Subjects who were incentivized were 5.7 percentage points more likely to see a PCP in the initial six months (p<0.05). Incentivized subjects were 6 percentage points more likely to experience an improvement in depression and pain at 12 months. Among those who reported high levels of depression and pain at baseline, they were 10.6 and 8 percentage points, respectively, to experience an improvement relative to those who were not incentivized.
Meaningful improvements were observed for depression and pain PROMIS domains for subjects randomized to the incentive groups, presumably through their interaction with a PCP and the health care system. This finding was robust for the full sample and a group that reported more severe symptoms at baseline.
Meaningful improvements were observed for depression and pain PROMIS domains for subjects randomized to the incentive groups, presumably through their interaction with a PCP and the health care system. This finding was robust for the full sample and a group that reported more severe symptoms at baseline.We investigate the extent to which small hospitals are associated with lower quality. We first take a patient perspective, and test if, controlling for casemix, patients admitted to small hospitals receive lower quality than those admitted to larger hospitals. We then investigate if differences in quality between large and small hospitals can be explained by hospital characteristics such as hospital type and staffing. We use a range of quality measures including hospital mortality rates (overall and for specific conditions), hospital acquired infection rates, waiting times for emergency patients, and patient perceptions of the care they receive. We find that small hospitals, with fewer than 400 beds, are generally not associated with lower quality before or after controlling for hospital characteristics. The only exception is heart attack mortality, which is generally higher in small hospitals.
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