Risk prediction tools are crucial for population-based management of cardiovascular disease (CVD). However, most prediction models are currently used to assess long-term risk instead of the risk of short-term CVD onset. We developed a Dynamic Risk-based Early wArning Monitoring (DREAM) system using large-scale, real-time electronic health record (EHR) data from 2010 to 2020 from the CHinese Electronic health Records Research in Yinzhou (CHERRY) study. The dynamic risk scores were derived from a 1:5 matched nested case–control set comprising 70,470 individuals (11,745 CVD events) and then validated in a cohort of 81,205 individuals (5950 CVD events). The individuals were Chinese adults aged 40–79 years without a history of CVD at baseline. Eleven predictors related to vital signs, laboratory tests, and health service utilization were selected to establish the dynamic scores. The proposed scores were significantly associated with the subsequent CVD onset (adjusted odds ratio, 1.21; 95% confidence interval, 1.20–1.23). The area under the receiver operating characteristic curves (AUCs) was 0.6010 (0.5929–0.6092) and 0.6021 (0.5937–0.6105) for the long-term 10-year CVD risk <10% and ≥10% groups in the derivation set, respectively. In the long-term 10-year CVD risk ≥10% group in the validation set, the change in AUC in addition to the long-term risk was 0.0235 (0.0155–0.0315). By increasing the risk threshold from 7 to 16 points, the proportion of true subsequent CVD cases among those given alerts increased from 40.61% to 85.31%. In terms of management efficiency, the number needed to manage per CVD case ranged from 2.46 to 1.17 using the risk scores. With the increasing popularity and integration of EHR systems with wearable technology, the DREAM scores can be incorporated into an early-warning system and applied in dynamic, real-time, EHR-based, automated management to support healthcare decision making for individuals, general practitioners, and policymakers.
Chen J, Wu X, Qu T. Early Reflections Based Speech Enhancement, in 2021 4th International Conference on Information Communication and Signal Processing (ICICSP). ShangHai, China; 2021:183-187.
The current study aimed to investigate the damage of long-term high concentrate diet feeding pattern on Yak jejunal structure, physiological function and protein composition during cold season. Twelve Datong male Yak (Bos grunniens) with the same age from cold season were randomly selected and slaughtered to determine Yak jejunal digestive enzyme activity, morphology and protein composition on different feeding patterns in Tibetan Plateau. The results showed that Yak jejunum digestive enzyme activity and morphology of grazing reared group were better than those in the intensively reared group. A total of 96 differentially expressed proteins were identified by label-free Mass Spectrometry (MS), which could be concluded to two predominant themes: protein structure and inflammatory response. Nine differentially expressed proteins were correlated in Yak jejunum damage in different feeding patterns. According to this research, we found that feeding pattern resulted the differences in Yak jejunum physiological function, morphology and protein composition. This fact was confirmed long-term high dietary concentrate feeding could damage the jejunum epithelial morphology and function.
The development of a difference-in-differences estimator is a new move in patent policy evaluation research. However, such an estimator neglects the possibility that academic patent activities follow a spatial autoregressive process with respect to the dependent variable. The objective of this study was to propose a spatial difference-in-differences estimator accounting for possible spatial spillover effects. In this study, an empirical analysis of a sample of 31 Chinese provinces from 2010 to 2019 indicates that an incentive patent policy has a positive impact on the output and commercialization of academic patents, with positive effects also spilling over into neighboring provinces. This study further found that incentive patent policies play a placebo role in academic patent activities. Provincial patent policies are merely a proxy for other variables that characterize the systemic differences between provinces that implement patent policies and those that do not. Therefore, the promotion of academic patent activities cannot be attributed to policy incentives.
<p id="p00005">Comprehensively understanding the mechanisms underlying the formation of ecosystem services is a prerequisite for maintaining the sustainable supply of ecosystem services. Plant functional traits directly participate in a variety of ecosystem processes, which in turn affect the supply of ecosystem services. Revealing the relationship between plant functional traits and ecosystem services is an important way to understand the formation mechanism of ecosystem services. Based on a systematic literature review, 86 papers on plant functional properties and ecosystem services were retrieved in the Web of Science database, and data for 466 pairs of plant functional traits and ecosystem services and 83 plant functional traits were collected. The current status of research on the relationship between plant functional traits and ecosystem services was revealed. Moreover, the main plant functional traits that affect different ecosystem services and their mechanisms underlying their impacts were also demonstrated. The results show that the research on the relationship between plant functional traits and ecosystem services mostly focuses on natural ecosystems such as grasslands and forests. Most of these studies focus on ecosystem products providing and supporting services, including biomass, net primary productivity, and soil fertility. Based on the impacts of plant functional traits on different ecosystem services, the plant functional traits can be clustered into five categories: soil-conservation-related traits, water-cycle-related traits, ecosystem- multifunction- related traits, product-providing-related traits, and pollination-biocontrol-related traits. The impacts of climate change, human activities, and variations in spatial and temporal scales on the relationship between plant functional traits and ecosystem services need to be further explored.</p>
The potential effect of short-term exposure to air pollution on mitochondrial DNA (mtDNA) methylation remains to be explored. This study adopted an experimental exposure protocol nested with an intervention study on L-arginine (L-Arg) supplementation. Participants walked along a traffic road for 2h in the last day of a 14-day intervention to investigate the effects of short-term personal exposure to air pollution on platelet mtDNA methylation and the possible modifying effects of L-Arg supplementation. Results showed that short-term personal exposure to air pollutants was associated with hypomethylation in platelet mtDNA. Specifically, 2-h fine particulate matter (PM2.5) exposure during the outdoor walk was significantly associated with hypomethylation in mt12sRNA and ATP6; 24-h black carbon (BC) exposure from the start of the walk till next morning and 2-h NO2 exposure was significantly associated with hypomethylation in ATP8; and 24-h PM2.5 exposure, 2-h and 24-h BC exposure were significantly associated with hypomethylation in D-loop. Supplementation with L-Arg could mitigate the air pollution effects on methylation in ATP8 and D-loop. These findings suggest that platelet mtDNA methylation may be sensitive effect biomarker for short-term exposure to air pollution and may help deepen the understanding of the epigenetic mechanisms of adverse cardiovascular effects of air pollution.