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However, the profit of the supply chain under RD case may be lower than that under MD case. Through numerical analysis, we found that the fluctuation of carbon price has a more significant impact on the manufacturer's emission reduction decision under CER mode than that under SER mode. In addition, with the increase of unit carbon price, the RD case performs better than the MD case in promoting supply chain's low-carbon level and profit.Human remains have been interred in burial grounds since historic times. Although the re-use of graveyards differs from one country, region or time period to another, over time, graveyard soil may become contaminated or enriched with heavy metal elements. This paper presents heavy metal element soil analysis from two UK church graveyard study sites with contrasting necrosols, but similar burial densities and known burial ages dating back to the sixteenth century and some possibly older than 1,000 years. Portable X-ray fluorescence element laboratory-based analyses were undertaken on surface and near-surface soil pellets. Results show elevated levels of Fe, Pb, Mn, Cr, Cu, Zn and Ca in both necrosols when compared with background values. Element concentration anomalies remained consistently higher than background samples down to 2 m, but reduced with distance away from church buildings. Element concentration anomalies are higher in the clay-rich necrosol than in sandy necrosol. Study result implications suggest that long-used necrosols are likely to be more contaminated with heavy metal elements than similar soil outside graveyards with implications for burial grounds management, adjacent populations and where burial grounds have been deconsecrated and turned to residential dwellings.Herein, a simple approach was formed based on synthesizing different morphologies of ZnO and Au-ZnO as photocatalyst. In this study, ZnO and Au-ZnO were synthesized via a co-precipitation method and fully characterized via scanning electron microscopy (SEM), X-ray diffraction (XRD), and energy-dispersive X-ray spectroscopy (EDX). Three different ratios of Zn2+OH- (12, 13, and 15) controlled the morphology of samples, which were made into spindle, star, and flower structures, respectively. Then, the photocatalytic activity was studied and compared. Their comparison showed that the flower morphology for ZnO and Au-ZnO was more effective in photocatalytic degradation and decolorization of methyl orange dye. Also, quantum and Monte Carlo (MC) calculations were carried out to investigate the adsorption of methyl orange (MO) molecules on ZnO(111) surface in the presence of Au or without Au in aqueous conditions by Monte Carlo adsorption locator simulations in the Materials Studio 2017 software. Au created a tendency to form a relatively strong interaction of MO with the ZnO(111) surface. The adsorption of MO on Au-ZnO(111) in the presence of Au was more significant than that of MO on ZnO(111), suggesting Au could significantly improve the reactivity of the methyl orange toward the ZnO(111).With the statement of Chinese government on energy saving in 2020 at the United Nations General Assembly, carbon neutral was widely spread as a new concept. As a big country, China has the responsibility and obligation to make its own contribution to global climate change. This paper aims to explore and find effective ways for China to achieve carbon neutrality by 2060. We identify the main factors affecting carbon emissions by STIRPAT model; combined with the scenario analysis, we divide the year 2020 to 2060 into three stages year 2020-2030 is carbon peak stage, year 2030-2050 is rapid emission reduction stage, and year 2050-2060 is complete carbon neutralization stage. At each stage, three development models, high, medium, and low level, were established. There are a total of 27 different scenarios in three stages. A system dynamics model was established to simulate the effects of carbon emission factors and changes in carbon sinks in different scenarios. Finally, 8 paths were found which in line with Chinese current goal of achieving carbon neutrality with treating reach carbon peak in 2030 as an additional filter condition. Comparing per capita GDP levels in different scenarios, we eventually find that keeping economic development at a low level in the first stage, a high level in the second stage, and a medium level in the finally stage, the point where net carbon emissions are less than zero for the first time will appear between year 2056 and 2057. By then, the per capita GDP will reach 144,500 yuan (based on year 2000), nearly four times 2000's. In all, these findings are helpful for policymakers to implement reasonable policies to achieve carbon emission peaking and carbon neutral in China.
This study aimed to determine the rate, timing, and predictors of diabetes and exocrine pancreatic insufficiency after pancreatectomy in order to inform preoperative patient counseling and risk management strategies.
Using prescription claims as a surrogate for disease prevalence, IBM Watson Health MarketScan was queried for claims patterns pre- and post-pancreatectomy. Multivariable models explored associations between clinical characteristics and medication use within 2years of surgery.
In total, 18.96% of 2,848 pancreaticoduodenectomy (PD) patients and 18.95% of 1,858 distal pancreatectomy (DP) patients had preoperative diabetic medication prescription claims. Tivantinib mw Fewer (6.6% and 3.88%, respectively) had pancreatic enzyme replacement therapy (PERT) claims. Diabetic medication claims increased to 28.69% after PD and 38.59% after DP [adjusted relative risk (aRR) = 1.36 (95% CI 1.27, 1.46)]. Other associated factors included age > 45, medical comorbidity, and obesity. The incidence of new diabetic medication claims among medication naïve patients was 13.78% for PD and 24.7% for DP (p < 0.001) with a median 4.7 and 4.9months post-operatively. The prevalence of PERT claims was 55.97% after PD and 17.06% after DP [aRR = 0.32 (0.29, 0.36)]. The incidence of postoperative PERT claims 53.98% (PD) and 14.84% (DP) (p < 0.0001). The median time to new PERT claim was 3.0 (PD) and 3.2 (DP) months, respectively. Claims for both diabetic medications and PERT rose sharply after surgery and plateaued within 6months.
This study defines prevalence, timing, and predictors for post-pancreatectomy insufficiency to inform preoperative counseling, risk modification strategies, and interventions related to quality of life.
This study defines prevalence, timing, and predictors for post-pancreatectomy insufficiency to inform preoperative counseling, risk modification strategies, and interventions related to quality of life.
Abdominal visceral resections incur relatively higher rates of postoperative bleeding and venous thromboembolism (VTE). While guidelines recommend the use of perioperative chemical thromboprophylaxis, the most appropriate time for its initiation is unknown. Here, we investigated whether early (before skin closure) versus postoperative commencement of chemoprophylaxis affected VTE and bleeding rates following abdominal visceral resection.
Retrospective review of all elective abdominal visceral resections undertaken between January 1, 2018, and June 30, 2019, across four tertiary-referral hospitals. Major bleeding was defined as the need for blood transfusion, reintervention, or > 20g/L fall in hemoglobin from baseline. Clinical VTE was defined as imaging-proven symptomatic disease < 30days post-surgery.
A total of 945 cases were analyzed. Chemoprophylaxis was given early in 265 (28.0%) patients and postoperatively in 680 (72.0%) patients. Mean chemoprophylaxis exposure doses were similar between th, postoperative initiation reduces bleeding risk without an increased risk of clinical VTE.
The psychiatric mental status examination is a fundamental aspect of the psychiatric clinical interview. However, despite its importance, little emphasis has been given to evidence-based instructional design. Therefore, this review summarizes the literature from an instructional design perspective with the aim of uncovering design strategies that have been used for teaching the psychiatric interview and mental status examination to health professionals.
The authors conducted a scoping review. Multiple databases, reference lists, and the gray literature were searched for relevant publications across educational levels and professions. A cognitive task analysis and an instructional design framework was used to summarize and chart the findings.
A total of 61 articles from 17 countries in six disciplines and three educational levels were identified for data extraction and analysis. Most studies were from the USA, presented as educational case reports, and carried out in undergraduate education in the field context.In conceptual properties norming studies (CPNs), participants list properties that describe a set of concepts. From CPNs, many different parameters are calculated, such as semantic richness. A generally overlooked issue is that those values are only point estimates of the true unknown population parameters. In the present work, we present an R package that allows us to treat those values as population parameter estimates. Relatedly, a general practice in CPNs is using an equal number of participants who list properties for each concept (i.e., standardizing sample size). As we illustrate through examples, this procedure has negative effects on data's statistical analyses. Here, we argue that a better method is to standardize coverage (i.e., the proportion of sampled properties to the total number of properties that describe a concept), such that a similar coverage is achieved across concepts. When standardizing coverage rather than sample size, it is more likely that the set of concepts in a CPN all exhibit a similar representativeness. Moreover, by computing coverage the researcher can decide whether the CPN reached a sufficiently high coverage, so that its results might be generalizable to other studies. The R package we make available in the current work allows one to compute coverage and to estimate the necessary number of participants to reach a target coverage. We show this sampling procedure by using the R package on real and simulated CPN data.In a simulation study, Stafford et al. (Behavior Research Methods, 52, 2142-2155, 2020) explored the effect of sample size on detecting group differences in ability in the presence of speed-accuracy trade-offs using the Drift Diffusion Model (DDM) and introduced an online tool to perform a power analysis. They found that the DDM approach was superior to analyzing the observed response times and response accuracies alone. In their simulation, they applied the EZ method to estimate the model parameters. In this article, we demonstrate that the EZ method, which cannot estimate the response bias parameter of the DDM, causes severe estimation bias for all parameters if the true response bias is not 0.5. Moreover, the bias patterns differ between EZ and the equivalent maximum likelihood estimation with z fixed at 0.5. This should be taken into consideration when using the otherwise excellent power analysis tool for experimental designs, in which z≠ 0.5 cannot be ruled out or even stipulate it.
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