Objective To explore an artificial intelligence (AI)-based method for automated hand hygiene monitoring and to compare the effectiveness of three algorithms (UniFormerV2, TDN, C3D) in recognizing hand hygiene steps in surgical settings, thereby aiding hospital infection control. Methods From April to October 2024, we non-invasively collected 641 video recordings of healthcare staff performing hand hygiene at four-bay scrub sinks in two tertiary hospitals using overhead HD cameras. The dataset was annotated by five trained experts for model training and validation. Results Following training on 385 samples, internal validation (n=119) showed the C3D model achieved 81% accuracy, 87% recall, and an 83% F1-score. The TDN model achieved 93%, 91%, and 92% for the same metrics. The UniFormerV2 model outperformed both, with an accuracy, recall, and F1-score of 93%—an improvement of over 10 percentage points compared to traditional CNNs (TDN, C3D). It also achieved an 84% accuracy in external validation, demonstrating strong generalization. Conclusion The UniFormerV2 model is more accurate than CNN-based models for hand hygiene step recognition and shows robust performance in external validation. It presents a viable tool for healthcare facilities to enhance hand hygiene management, ultimately improving medical quality and patient safety.

Objective:This study aims to explore the job preferences of county-level Centers for Disease Control and Prevention(CDC)personnel and to provide a basis for the development of effective incentive mechanisms.Methods:This study used a combination of stratified sampling and latent class sampling to investigate 1 809 respondents from 56 county-level CDCs in Shandong Province,Hubei Province,and Guizhou Province.Data were analysed using a mixed logit model and a latent class model,and willingness to pay was calculated.Results:The results of the mixed logit model showed that,all attributes and their levels had a significant influence(P<0.05),with establishment being the most important motivating factor(β=2.249).In the latent class model,respondents were divided into three categories.The main differences between the three classes were the choice of exit options and differences in preferences for job attributes.Conclusion:County-level CDC personnel preferred jobs with higher incomes,very good benefit levels,establishment,low workload,better recognition and respect from the public,more opportunities for career advancement,and abundant training opportunities.It is recommended that the total number of establishment should be rationally controlled and dynamically adjusted to balance the differences between working conditions within and outside the establishment;that a comprehensive approach should be adopted to improve both hygiene and motivation factors;and that different incentives should be adopted for different categories of CDC staff. Those who are willing to make a change should be provided with more opportunities for training and career advancement.

Objective To investigate the effects of electroacupuncture at"Zusanli"(ST36)on type 3 innate lymphoid cells(ILC3s)secreting interleukin(IL)-22 and intestinal cholinergic neurons in the colon of mice with inflammatory bowel disease(IBD),and to explore the mechanisms underlying electroacupuncture-mediated amelioration of IBD.Methods Twenty-four male C57BL/6J mice were divided into a normal group(n=8)and a modeling group(n=16)using the random number table method.The modeling group received 4％dextran sulfate sodium solution ad libitum for 7 days to establish the IBD model.On the fourth day after modeling,the modeling group was divided into a model group and an electroacupuncture group using the random number table method,with eight mice per group.Electroacupuncture intervention was applied bilaterally at"Zusanli"(ST36)in mice of the electroacupuncture group,once daily for 20 min each time,for seven consecutive days.After intervention,stool characteristics and occult blood were assessed.The disease activity index(DAI)of mice in each group was scored,and colon length was measured.The morphology of the colon tissue in mice was observed using hematoxylin-eosin staining,and the histopathological score was determined.A cytometric bead array was used to detect the contents of IL-1β,tumor necrosis factor-α(TNF-α),and IL-6 in colon tissue.Flow cytometry was used to determine the IL-22+ILC3s proportion in lamina propria lymphocytes of colon tissue.The content of IL-22 in colon tissue was detected using an enzyme-linked immunosorbent assay.Immunofluorescence was used to detect the number of choline acetyltransferase(ChAT)+/cellular Fos(c-Fos)+co-labeled neurons in colon tissue.Results Compared with the normal group,mice in the model group exhibited different degrees of loose stools,strongly positive fecal occult blood test,elevated DAI scores,shortened colon length,increased colon histopathological score;increased contents of IL-1β,TNF-α,and IL-6 in colon tissue;and a decreased IL-22+ILC3s proportion in lamina propria lymphocytes of colon tissue(P＜0.05).Compared with the model group,mice in the electroacupuncture group exhibited improved fecal traits,weakly positive fecal occult blood test,decreased DAI score,increased colon length,reduced colon histopathological score;decreased contents of IL-1β,TNF-α,and IL-6 in colon tissues;an increased IL-22+ILC3s proportion in lamina propria lymphocytes of colon tissue;increased IL-22 content in colon tissue;and increased ChAT+/c-Fos+co-labeled neurons in colon tissue(P＜0.05).Conclusion Electroacupuncture at"Zusanli"(ST36)can significantly ameliorate colonic damage and reduce inflammatory responses in IBD mice,and its mechanism may be related to the activation of intestinal cholinergic neurons and the enhancement of colonic ILC3s function.

Objective:To analyze the coupling coordination relationship and spatial correlation among the service demand,resource allocation and utilization efficiency of Traditional Chinese Medicine(TCM),aiming to provide theoretical support and optimization strategies for achieving the coordinated operation of the TCM systems in various provinces and promoting the coordinated development of TCM in different provinces.Methods:The data were collected from the China Health and Family Planning Statistical Yearbook(2013-2017)and the China Health Statistics Yearbook(2018-2023),the entropy method was employed to determine the weight of each evaluation index within the subsystems.A coupling coordination degree model and spatial econometric model were applied to assess the coupling coordination values and spatial correlations of the TCM system across various provinces in China.Results:In 2022,the national average coupling coordination degree was 0.603,with values of 0.648,0.577,and 0.563 for the eastern,central,and western regions,respectively.The western region had the highest number of provinces classified as"disordered type".A spatial clustering effect of the coupling coordination degree across 30 provinces.Conclusions:While the allocation of TCM resources has shown steady improvement,the demand for TCM services and utilization efficiency have exhibited a declining trend.The coupling coordination degree follows a decreasing gradient from east to west and exhibits significant spatial effects,a regional collaborative development mechanism for TCM should be established.

Aim To perform high-throughput screen-ing of immunomodulatory traditional Chinese medicine(TCMs)based on an in vitro B cell differentiation-antibody secretion model,identifying active herbal candidates with immune-enhancing properties to pro-vide novel therapeutic options and theoretical support for influenza virus treatment in immunocompromised in-dividuals.Methods B cells were stimulated with dif-ferent concentrations of cytosine-phosphate-guanine oli-godeoxynucleotide 2006(CpG)and nterleukin-2(IL-2)to promote proliferation,differentiation,and anti-body secretion,and the effects of varying concentra-tions of the solvent DMSO were also evaluated.The op-timal conditions for the B cell differentiation-anti-body secretion model were determined based on the se-cretion levels of three antibody isotypes.The feasibility of the model was further validated using rapamycin,a known B cell function inhibitor.On this basis,a high-throughput screening platform for immunomodulatory a-gents was optimized and established.Subsequently,the immune-enhancing activity of 465 polarity extract from TCMs was evaluated.Results The optimal con-ditions for the model were determined as 2 mg·L-1 CpG,1.67 × 106 nkat·L-1 IL-2,and DMSO with a volume fraction of 0.1％.Rapamycin effectively inhib-ited B cell differentiation into plasmablast and signifi-cantly reduced antibody production,indicating the reli-ability of the model.Multiple rounds of screening re-vealed that the dichloromethane extract of licorice,the dichloromethane extract of Vinegar-processed Curcumae Rhizoma,the cyclohexane extract of Honey-prepared Radix Asteris,and the aqueous extract of Siphonostegia chinensis Benth were identified to significantly promote both B cell proliferation and differentiation and anti-body secretion at a concentration of 600 μg·L-1.Conclusion This study successfully optimizes an in vitro B cell differentiation-antibody secretion model and identifies several TCM extracts,including licorice,with potential immune-enhancing activity.

Aim To perform high-throughput screen-ing of immunomodulatory traditional Chinese medicine(TCMs)based on an in vitro B cell differentiation-antibody secretion model,identifying active herbal candidates with immune-enhancing properties to pro-vide novel therapeutic options and theoretical support for influenza virus treatment in immunocompromised in-dividuals.Methods B cells were stimulated with dif-ferent concentrations of cytosine-phosphate-guanine oli-godeoxynucleotide 2006(CpG)and nterleukin-2(IL-2)to promote proliferation,differentiation,and anti-body secretion,and the effects of varying concentra-tions of the solvent DMSO were also evaluated.The op-timal conditions for the B cell differentiation-anti-body secretion model were determined based on the se-cretion levels of three antibody isotypes.The feasibility of the model was further validated using rapamycin,a known B cell function inhibitor.On this basis,a high-throughput screening platform for immunomodulatory a-gents was optimized and established.Subsequently,the immune-enhancing activity of 465 polarity extract from TCMs was evaluated.Results The optimal con-ditions for the model were determined as 2 mg·L-1 CpG,1.67 × 106 nkat·L-1 IL-2,and DMSO with a volume fraction of 0.1％.Rapamycin effectively inhib-ited B cell differentiation into plasmablast and signifi-cantly reduced antibody production,indicating the reli-ability of the model.Multiple rounds of screening re-vealed that the dichloromethane extract of licorice,the dichloromethane extract of Vinegar-processed Curcumae Rhizoma,the cyclohexane extract of Honey-prepared Radix Asteris,and the aqueous extract of Siphonostegia chinensis Benth were identified to significantly promote both B cell proliferation and differentiation and anti-body secretion at a concentration of 600 μg·L-1.Conclusion This study successfully optimizes an in vitro B cell differentiation-antibody secretion model and identifies several TCM extracts,including licorice,with potential immune-enhancing activity.

Objective To investigate the effects of electroacupuncture at"Zusanli"(ST36)on type 3 innate lymphoid cells(ILC3s)secreting interleukin(IL)-22 and intestinal cholinergic neurons in the colon of mice with inflammatory bowel disease(IBD),and to explore the mechanisms underlying electroacupuncture-mediated amelioration of IBD.Methods Twenty-four male C57BL/6J mice were divided into a normal group(n=8)and a modeling group(n=16)using the random number table method.The modeling group received 4％dextran sulfate sodium solution ad libitum for 7 days to establish the IBD model.On the fourth day after modeling,the modeling group was divided into a model group and an electroacupuncture group using the random number table method,with eight mice per group.Electroacupuncture intervention was applied bilaterally at"Zusanli"(ST36)in mice of the electroacupuncture group,once daily for 20 min each time,for seven consecutive days.After intervention,stool characteristics and occult blood were assessed.The disease activity index(DAI)of mice in each group was scored,and colon length was measured.The morphology of the colon tissue in mice was observed using hematoxylin-eosin staining,and the histopathological score was determined.A cytometric bead array was used to detect the contents of IL-1β,tumor necrosis factor-α(TNF-α),and IL-6 in colon tissue.Flow cytometry was used to determine the IL-22+ILC3s proportion in lamina propria lymphocytes of colon tissue.The content of IL-22 in colon tissue was detected using an enzyme-linked immunosorbent assay.Immunofluorescence was used to detect the number of choline acetyltransferase(ChAT)+/cellular Fos(c-Fos)+co-labeled neurons in colon tissue.Results Compared with the normal group,mice in the model group exhibited different degrees of loose stools,strongly positive fecal occult blood test,elevated DAI scores,shortened colon length,increased colon histopathological score;increased contents of IL-1β,TNF-α,and IL-6 in colon tissue;and a decreased IL-22+ILC3s proportion in lamina propria lymphocytes of colon tissue(P＜0.05).Compared with the model group,mice in the electroacupuncture group exhibited improved fecal traits,weakly positive fecal occult blood test,decreased DAI score,increased colon length,reduced colon histopathological score;decreased contents of IL-1β,TNF-α,and IL-6 in colon tissues;an increased IL-22+ILC3s proportion in lamina propria lymphocytes of colon tissue;increased IL-22 content in colon tissue;and increased ChAT+/c-Fos+co-labeled neurons in colon tissue(P＜0.05).Conclusion Electroacupuncture at"Zusanli"(ST36)can significantly ameliorate colonic damage and reduce inflammatory responses in IBD mice,and its mechanism may be related to the activation of intestinal cholinergic neurons and the enhancement of colonic ILC3s function.

Objective:To analyze the correlation between serum uric acid-to-high-density lipoprotein cholesterol ratio (UHR) and risk of all-cause death or cardiovascular disease (CVD) death among urban and rural elderly in Beijing.Methods:Based on the Beijing Healthy Aging Cohort Study, 9 022 participants with complete baseline data were enrolled, and their survival and death outcomes were followed up. Multivariable Cox proportional hazard regression model were used to analyze the associations between the UHR level and the risks of all-cause mortality and CVD mortality.Results:As of March 31, 2021, the median follow-up time M( Q1, Q3) was 6.18 (5.36, 6.75) years. There were 1 166 all-deaths, with a death density of 19.26 per 1 000 person-years, and 562 CVD deaths, with a death density of 9.28 per 1 000 person-years. After adjusting sociodemographic characteristics and lifestyle factors, multivariable Cox proportional hazard regression model showed that the risk of all-cause mortality increased by 3% ( HR=1.03, 95% CI: 1.02-1.04) and the risk of CVD mortality increased by 4% ( HR=1.04, 95% CI: 1.02-1.06) for every 1% increase in UHR. Compared with the T1 group of UHR tertiles, the T3 group had a 42% increase in the risk of all-cause death ( HR=1.42, 95% CI: 1.22-1.66) and a 53% increase in the risk of CVD death ( HR=1.53, 95% CI: 1.21-1.94). Conclusions:The UHR level is significantly associated with the risks of all-cause mortality and CVD mortality among urban and rural older adults in Beijing. The UHR level may be one of the potential predictors of death risk in community-dwelling older adults.

Objective:To analyze the preferences of medical staff in TCM hospitals in Beijing regarding the achievements transformation of hospital traditional Chinese medicine preparations,and to provide a reference for formulating incentive policies.Methods:233 medical staff from five TCM hospitals in Beijing were taken as the research objects,and surveyed with a questionnaire designed based on the discrete choice experiment(DCE).Mixed logit models and latent class models were then used to analyze their transformation preferences.Results:The mixed Logit model revealed that seven key attributes significantly influenced medical staff's preferences for the achievements transformation of traditional Chinese medicine preparations(P<0.05).Latent class analysis identified three distinct preference groups among respondents:an organization-dependent group(27.0%),a pro-transformation group(61.4%),and a conservative group(11.6%).Conclusions:Medical Staff preferred transformation conditions that increased monthly income;utilized"human use+re-experimentation";involved the hospital's achievements transformation department as the entity;were funded by the hospital;offered a 70%profit share;enabled promotion three years earlier,and assigned patents to the hospital.The study recommends implementing diverse incentive measures and developing differentiated strategies tailored to the distinct Medical Staff categories to facilitate the transformation of hospital traditional Chinese medicine preparations into new drugs.

Schizophrenia (SZ) stands as a severe psychiatric disorder. This study applied diffusion tensor imaging (DTI) data in conjunction with graph neural networks to distinguish SZ patients from normal controls (NCs) and showcases the superior performance of a graph neural network integrating combined fractional anisotropy and fiber number brain network features, achieving an accuracy of 73.79% in distinguishing SZ patients from NCs. Beyond mere discrimination, our study delved deeper into the advantages of utilizing white matter brain network features for identifying SZ patients through interpretable model analysis and gene expression analysis. These analyses uncovered intricate interrelationships between brain imaging markers and genetic biomarkers, providing novel insights into the neuropathological basis of SZ. In summary, our findings underscore the potential of graph neural networks applied to multimodal DTI data for enhancing SZ detection through an integrated analysis of neuroimaging and genetic features.
Humans ; Schizophrenia/pathology* ; Diffusion Tensor Imaging/methods* ; Male ; Female ; Adult ; Brain/metabolism* ; Young Adult ; Middle Aged ; White Matter/pathology* ; Gene Expression ; Nerve Net/diagnostic imaging* ; Graph Neural Networks