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Finger veins have been proved to be an effective biometric for personal identification in the recent years. However, finger vein images are easily affected by influences such as image translation, orientation, scale, scattering, finger structure, complicated background, uneven illumination, and collection posture. All these factors may contribute to inaccurate region of interest (ROI) definition, and so degrade the performance of finger vein identification system. To improve this problem, in this paper, we propose a finger vein ROI localization method that has high effectiveness and robustness against the above factors. The proposed method consists of a set of steps to localize ROIs accurately, namely segmentation, orientation correction, and ROI detection. Accurate finger region segmentation and correct calculated orientation can support each other to produce higher accuracy in localizing ROIs. Extensive experiments have been performed on the finger vein image database, MMCBNU_6000, to verify the robustness of the proposed method. The proposed method shows the segmentation accuracy of 100%. Furthermore, the average processing time of the proposed method is 22 ms for an acquired image, which satisfies the criterion of a real-time finger vein identification system.

We evaluated differences in the compositions of faecal microbiota between 52 end stage renal disease (ESRD) patients and 60 healthy controls in southern China using quantitative real-time polymerase chain reaction (qPCR) and high-throughput sequencing (16S ribosomal RNA V4-6 region) methods. The absolute quantification of total bacteria was significantly reduced in ESRD patients (p < 0.01). In three enterotypes, Prevotella was enriched in the healthy group whereas Bacteroides were prevalent in the ESRD group (LDA score > 4.5). 11 bacterial taxa were significantly overrepresented in samples from ESRD and 22 bacterial taxa were overrepresented in samples from healthy controls. The butyrate producing bacteria, Roseburia , Faecalibacterium , Clostridium , Coprococcus and Prevotella were reduced in the ESRD group (LDA values > 2.0). Canonical correspondence analysis (CCA) indicated that Cystatin C (CysC), creatinine and eGFR appeared to be the most important environmental parameters to influence the overall microbial communities. In qPCR analysis, The butyrate producing species Roseburia spp ., Faecalibacterium prausnitzii , Prevotella and Universal bacteria , were negatively related to CRP and CysC. Total bacteria in faeces were reduced in patients with ESRD compared to that in healthy individuals. The enterotypes change from Prevotella to Bacteroides in ESRD patients. The gut microbiota was associated with the inflammatory state and renal function of chronic kidney disease.

This study explored the relationship between classroom environment and perceived sleep disturbance in adolescents and tested the mediating and moderating roles of perfectionism in this relationship. A sample group of 2286 Chinese adolescents with a mean age of 15.0 years (SD = 1.7, ranging from 11 to 18) was recruited from 48 classes, via cluster sampling. These students completed the “My Class” questionnaire, Pittsburgh Sleep Quality Index (PSQI), and Almost Perfectionism Scale-Revised (APS-R). Their responses were analyzed by employing a structural equation model (SEM). The results show that the classroom environment was negatively associated with perceived sleep disturbance. Also, the relationship between classroom environment and perceived sleep quality was mediated by adaptive perfectionism. These conclusions suggest that a positive classroom environment and constructive perfectionism may be beneficial for adolescent sleep quality.

Prolonged elevated heart rate (peHR) is recognized as a risk factor for poor prognosis among critically ill patients. However, there is currently a lack of studies investigating the association between peHR and patients with acute pancreatitis. Multiparameter Intelligent Monitoring in Intensive Care IV (MIMIC-IV) database was used to identify patients with acute pancreatitis. PeHR was defined as a heart rate exceeding 100 beats per minute for at least 11 out of 12 consecutive hours. Cox regression analysis was used to assess the association between peHR and the 90-Day mortality. A total of 364 patients (48.9%) experienced a peHR episode. The 90-day mortality was 25%. PeHR is an independent risk factor for 90-day mortality (HR, 1.98; 95% CI 1.53–2.56; P < 0.001). KM survival curves exhibited a significant decrease in the survival rate at 90 days among patients who experienced a peHR episode (P < 0.001, 84.5% vs. 65.1%). We revealed a significant association of peHR with decreased survival in a large cohort of ICU patients with acute pancreatitis.

Promoting teachers’ deep, sustainable well-being is vital for educational development, but the key emotional resources involved are still not well understood. Drawing on the broaden-and-build theory of positive emotions, this study is the first to model how trait awe influences occupational well-being among primary and secondary school teachers. We conducted a cross-sectional survey with 1,037 teachers in China and used structural equation modeling for data analysis. Results showed that trait awe enhanced teachers’ well-being both directly and indirectly. The indirect effect was mediated by professional identity and work engagement, both independently and sequentially. These findings provide the first empirical evidence that cultivating trait awe can be a powerful lever for supporting teachers’ well-being and driving educational progress.

Although PD-L1/PD-1 blockade therapy has been approved to treat many types of cancers, the majority of patients with solid tumors do not respond well, but the underlying reason remains unclear. Here, we studied ovarian cancer (OvCa), a tumor type generally resistant to current immunotherapies, to investigate PD-1-independent immunosuppression. We found that PD-L1 was not highly expressed in the tumor microenvironment (TME) of human OvCa. Instead, B7-H3, another checkpoint molecule, was highly expressed by both tumor cells and tumor-infiltrating antigen-presenting cells (APCs), which correlated with T-cell exhaustion in patients. Using ID8 OvCa mouse models, we found that B7-H3 expressed on tumor cells, but not host cells, had a dominant role in suppressing antitumor immunity. Therapeutically, B7-H3 blockade, but not PD-1 blockade, prolonged the survival of ID8 tumor-bearing mice. Collectively, our results demonstrate that tumor-expressed B7-H3 inhibits the function of CD8+ T cells and suggest that B7-H3 may be a target in patients who are not responsive to PD-L1/PD-1 inhibition, particularly OvCa patients.

Oxidized low-density lipoprotein (oxLDL)-induced endothelium injury promotes the development of atherosclerosis. It has been reported that homoplantaginin, a flavonoid glycoside from the traditional Chinese medicine R. Br., protected vascular endothelial cells by inhibiting inflammation. However, it is undetermined whether homoplantaginin affects atherosclerosis. In this study, we evaluated the effect of homoplantaginin and its derivative dihydrohomoplantagin on oxLDL-induced endothelial cell injury and atherosclerosis in apoE-/- mice. Our results showedthat both dihydrohomoplantagin and homoplantaginin inhibited apoptosis and the increased level of ICAM-1 and VCAM-1 in oxLDL-stimulated HUVECs and the plaque endothelium of apoE-/- mice. Additionally, both of them restricted atherosclerosis development of apoE-/- mice. Mechanistic studies showed that oxLDL-induced the increase in ROS production, phosphorylation of ERK and nuclear translocation of NF-κB in HUVECs was significantly inhibited by the compounds. Meanwhile, these two compounds promoted Nrf2 nuclear translocation and increased the anti-oxidation downstream HO-1 protein level in HUVECs and plaque endothelium. Notably, knockdown of Nrf2 by siRNA abolished the cell protective effects of compounds and antagonized the inhibition effects of them on ROS production and NF-κB activation in oxLDL-stimulated HUVECs. Collectively, dihydrohomoplantagin and homoplantaginin protected VECs by activating Nrf2 and thus inhibited atherosclerosis in apoE-/- mice.

Intestine contains the body's second largest genetic information, so a relatively stable microbiota ecosystems and interactions between intestinal micro-organisms play a pivotal role in the normal growth and development in animals. The establishment of intestinal microflora is affected by a variety of factors such as species, environmental factors, developmental stage, organizational structure and physiological characteristics of various parts of the digestive tract. Gene editing technology such as ZFN has recently been used as a new approach to replace the traditional transgenic technology and to make genetic modifications in animals. However, it is not known if genetic modification by gene editing technology will have any impact on gut microbiota. In this study, by sequencing 16S rRNA collected from rectum, we investigated the effects of ZFN-mediated myostatin (MSTN) loss-of-function mutation (MSTN-/-) on gut microbiota in Meishan pigs. Our results showed that the fecal microbial composition is very similar between MSTN-/- Meishan pigs and wild type Meishan pigs. Although significant differences in certain individual strains were observed, all the dominant microorganism species are basically the same between MSTN-/- and wild type pigs. However, these differences do not adversely affect MSTN-/- Meishan pigs. Thus, it is concluded that ZFN-mediated MSTN loss-of-function mutation did not have any adverse effect on the gut microbiota in Meishan pigs.

Background Static scorecards dominate hospital outsourcing evaluation, but fixed weights cannot adapt to shifting operational priorities. We developed a dynamic evaluation system that intentionally re-weights indicators each month to steer contractors toward emerging risk areas. Methods A two-campus, 1350-bed medical group was followed for 24 months. During 2023, baseline performance of six domains (service quality, efficiency & timeliness, cost control, compliance, safety, staffing & satisfaction) was captured with equal weights. In 2024, a G1–CRITIC hybrid supplied the initial weight vector, after which an Long Short-Term Memory (LSTM)+Dropout network forecast next-month scores. Weights were automatically up-regulated for indicators predicted to deteriorate and down-regulated for those expected to improve, then normalised to 1. Impact was quantified with interrupted time-series analysis (ITSA). Result The LSTM+Dropout model yielded test RMSE ≤ 1.60 (scale 0–100) across all indicators. After 12 months of dynamic adjustment, ITSA showed immediate and significant improvements in service quality (+23.2 points, p  = 0.001), cost control (+24.6 points, p  = 0.004) and the standardised mean score (+8.5 points, p  = 0.001). No adverse effects were observed in other domains. Conclusions Converting a static scorecard into a self-adjusting steering lever significantly accelerated contractor quality gains. The system requires only routine administrative data and open-source software, offering a readily replicable tool for proactive, data-driven governance of outsourced hospital services.

This study aimed to investigate the effects of dietary supplementation with Selenium nanoparticles (SeNPs) on lactation performance, rumen microbial communities, and metabolism in dairy goats under heat stress conditions. Twenty Guanzhong dairy goats with the same parity, similar lactation period (120 ± 15 days), and similar milk yield (1.20 ± 0.16 kg/day) were randomly divided into two groups, with 10 replicates in each group. The control group was fed a standard diet, while the experimental group was supplemented with 0.5 mg SeNPs/kg DM based on the standard diet. The pretrial period lasted for seven days, followed by a 30-day trial period. The results showed that dietary supplementation with SeNPs significantly increased milk yield, milk fat and lactose content in dairy goats, under heat stress conditions. SeNPs significantly altered the composition of the rumen microbiota, increasing the relative abundance of Prevotella and Ruminococcus while decreasing the relative abundance of Succiniclasticum . This enhanced the rumen’s ability to degrade starch and fiber under heat stress conditions. Non-targeted metabolomic analysis revealed a total of 119 differential metabolites between the two groups, indicating changes in rumen metabolism. Further correlation analysis indicated that Rumen bacterium R-21 was positively correlated with propionate, while Ralstonia insidiosa was negatively correlated with γ-glutamylcysteine. Additionally, several differential microbes, including Succinivibrio dextrinosolvens , Rummeliibacillus pycnus , Ralstonia insidiosa , and Prevotella sp BP1-56 , were significantly correlated with milk composition. In conclusion, dietary supplementation with SeNPs can positively impact milk yield, milk components, and metabolism in dairy goats by improving the composition of the rumen microbiota under heat stress conditions.