Objective To investigate the prevalence of work-related musculoskeletal disorders (WMSDs) in passenger drivers and its influencing factors. Methods A total of 951 passenger drivers in Guangdong Province were selected as the research subjects using the judgmental sampling method. A Musculoskeletal Injury Questionnaire was employed to assess the prevalence of WMSDs in the past year. Results The prevalence of WMSDs in passenger drivers was 41.11%. The result of multivariable logistic regression analysis showed that married drivers had a higher risk of WMSDs than single drivers (P<0.05). The lower the frequency of physical exercise, the longer the driving time per week, the longer the continuous driving time, the more restricted the driving working space, the poorer the foot comfort during driving, and the more affected the normal meal, the higher the risk of WMSDs (all P<0.05). The risk of WMSDs in drivers with sleep time ≤ 8.0 h/d was higher than that in drivers with sleep time > 8.0 h/d (P<0.01), and the risk of WMSDs in drivers with the same posture for a long time on the shoulder was higher than that in drivers without this poor working posture (P<0.01). Conclusion WMSDs were prevalent among passenger drivers, which was associated with demographic and adverse ergonomic factors. Intervention on lifestyle and adverse ergonomic factors could further reduce the risk of WMSDs of passenger drivers.

Comprehensive occupational hazard risk assessment in employers is a core component of the pilot program for occupational health classification supervision and law enforcement. The quality and effectiveness of classification-based supervision are directly affected by both the assessment process and its outcomes. However, several issues have emerged since the implementation of the pilot program on the comprehensive risk assessment, including an excessive number of self-assessment items, lack of implementation basis for certain self-assessment items, misinterpretation for certain self-assessment items, inconsistencies between evaluation criteria and existing standards, incomplete implementation of some items, omission of comprehensive risk assessment elements, unclear definitions of key industries and key occupational hazards, and inconvenient assessment procedures on comprehensive risk assessment. To enhance the applicability, accuracy, and objectivity of the comprehensive risk assessments conducted by employers, it is recommended to optimize self-assessment items, standardize risk assessment content, tailor comprehensive risk assessments to actual workplace conditions, refine the identification of key industries and key occupational hazards, improve comprehensive risk assessment methodologies, and establish clear grading rules for the comprehensive risk assessment.

ObjectiveThis study aims to develop and validate a novel multimodal predictive model， termed criss-cross network（CCNet）-directed graph neural network（DGNN）（CGN）， for accurate assessment of pulmonary nodule progression in high-risk individuals for lung cancer， by integrating longitudinal chest computed tomography（CT） imaging with both traditional Chinese and western clinical evaluation data. MethodsA cohort of 4 432 patients with pulmonary nodules was retrospectively analyzed. A twin CCNet was employed to extract spatiotemporal representations from paired sequential CT scans. Structured clinical assessment and imaging-derived features were encoded via a multilayer perceptron， and a similarity-based alignment strategy was adopted to harmonize multimodal imaging features across temporal dimensions. Subsequently， a DGNN was constructed to integrate heterogeneous features， where nodes represented modality-specific embeddings and edges denoted inter-modal information flow. Finally， model optimization was performed using a joint loss function combining cross-entropy and cosine similarity loss， facilitating robust classification of nodule progression status. ResultsThe proposed CGN model demonstrated superior predictive performance on the held-out test set， achieving an area under the receiver operating characteristic curve（AUC） of 0.830， accuracy of 0.843， sensitivity of 0.657， specificity of 0.712， Cohen's Kappa of 0.417， and F₁ score of 0.544. Compared with unimodal baselines， the CGN model yielded a 36%-48% relative improvement in AUC. Ablation studies revealed a 2%-22% increase in AUC when compared to simplified architectures lacking key components， substantiating the efficacy of the proposed multimodal fusion strategy and modular design. Incorporation of traditional Chinese medicine （TCM）-specific symptomatology led to an additional 5% improvement in AUC， underscoring the complementary value of integrating TCM and western clinical data. Through gradient-weighted activation mapping visualization analysis， it was found that the model's attention predominantly focused on nodule regions and effectively captured dynamic associations between clinical data and imaging-derived features. ConclusionThe CGN model， by synergistically combining cross-attention encoding with directed graph-based feature integration， enables effective alignment and fusion of heterogeneous multimodal data. The incorporation of both TCM and western clinical information facilitates complementary feature enrichment， thereby enhancing predictive accuracy for pulmonary nodule progression. This approach holds significant potential for supporting intelligent risk stratification and personalized surveillance strategies in lung cancer prevention.

Objective To explore the anti-inflammatory mechanism of the active ingredients of Gubi Formula in treating osteoarthritis.Methods Normal human chondrocytes were cultured in vitro,and lipopolysaccharide(LPS)stimulated inflammation.The cells were divided into control group(normal culture),model group(10 μg·mL-1 LPS),quercetin group(10 μg·mL-1 LPS+8 μmol·L-1 quercetin),formononetin group(10 μg·mL-1 LPS+50 μmol·L-1 formononetin),naringin group(10 μg·mL-1 LPS+10 μmol·L-1 naringin),asperosaponin Ⅵ group(10 μg·mL-1 LPS+50 pmol·L-1 asperosaponin Ⅵ),β-ecdysterone group(10 μg·mL-1 LPS+50 μmol·L-1β-ecdysterone).Cell counting kit-8(CCK8)was used to detect the viability of chondrocytes.Western blot was used to detect the expression of nuclear factor NF-kappa-B p65 subunit(p65),nuclear factor erythroid 2-related factor 2(Nrf2)nuclear protein.Results The cell viability of control group,model group,quercetin group,formononetin group,naringin group,Dipsacoside Ⅵ group,β-ecdysterone group were(103.10±8.55)％,(62.41±2.35)％,(76.92±1.74)％,(77.01±0.60)％,(80.39±3.06)％,(79.43±0.94)％,(55.20±0.99)％;the relative expression of Nrf2 protein were 1.00±0.00,1.01±0.09,1.30±0.15,0.91±0.15,1.23±0.25,0.71±0.19,1.51±0.13,1.26±0.15;the relative expression of P65 protein were 1.00±0.00,2.24±0.85,0.74±0.33,1.49±0.29,0.97±0.06,1.33±0.07,1.67±0.22,1.52±0.17;the relative expression of inflammatory mediators iNOS were 1.00±0.00,1.52±0.27,1.07±0.24,1.25±0.12,1.01±0.30,1.44±0.12,1.07±0.18,1.11±0.16.The above indexes in quercetin group,formononetin group and naringin group were significantly different from those in model group(P＜0.05,P＜0.01 and P＜0.001).Compared with the model group,there was no significant difference in the above indexes between the Asperosaponin Ⅵ group and theβ-ecdysterone group(all P＞0.05).Conclusion The active components of Gubi Formula,including quercetin,mangiferin,and naringin,can activate Nrf2-HO-1 signaling and inhibit the activation of the Nuclear factor-κB(NF-κB)pathway plays an anti-inflammatory role in alleviating osteoarthritis.

The COVID-19 epidemic has spread to the whole world for three years and has had a serious impact on human life, health and economic activities. China's epidemic prevention and control has gone through the following stages: emergency unconventional stage, emergency normalization stage, and the transitional stage from the emergency normalization to the "Category B infectious disease treated as Category B" normalization, and achieved a major and decisive victory. The designated hospitals for prevention and control of COVID-19 epidemic in Tianjin has successfully completed its tasks in all stages of epidemic prevention and control, and has accumulated valuable experience. This article summarizes the experience of constructing a hospital infection prevention and control system during the "Category B infectious disease treated as Category A" period in designated hospital. The experience is summarized as the "Cluster" hospital infection prevention and control system, namely "three rings" outside, middle and inside, "three districts" of green, orange and red, "three things" before, during and after the event, "two-day pre-purification" and "two-director system", and "one zone" management. In emergency situations, we adopt a simplified version of the cluster hospital infection prevention and control system. In emergency situations, a simplified version of the "Cluster" hospital infection prevention and control system can be adopted. This system has the following characteristics: firstly, the system emphasizes the characteristics of "cluster" and the overall management of key measures to avoid any shortcomings. The second, it emphasizes the transformation of infection control concepts to maximize the safety of medical services through infection control. The third, it emphasizes the optimization of the process. The prevention and control measures should be comprehensive and focused, while also preventing excessive use. The measures emphasize the use of the least resources to achieve the best infection control effect. The fourth, it emphasizes the quality control work of infection control, pays attention to the importance of the process, and advocates the concept of "system slimming, process fattening". Fifthly, it emphasizes that the future development depends on artificial intelligence, in order to improve the quality and efficiency of prevention and control to the greatest extent. Sixth, hospitals need to strengthen continuous training and retraining. We utilize diverse training methods, including artificial intelligence, to ensure that infection control policies and procedures are simple. We have established an evaluation and feedback mechanism to ensure that medical personnel are in an emergency state at all times.

ObjectiveA rapid method for identification of chemical constituents in Baoyuantang reference sample was established in order to clarify the material basis of this formula. MethodBased on ultra-performance liquid chromatography-quadrupole-time-of-flight mass spectrometry（UPLC-Q-TOF-MS/MS） and self-established database information， the chemical components in Baoyuantang were systematically characterized and identified. The chromatography was performed on a Waters ACQUITY UPLC HSS T3 column（2.1 mm×100 mm， 1.8 μm） with mobile phase of 0.1% formic acid aqueous solution（A）-0.1% formic acid acetonitrile solution（B） for gradient elution（0-3 min， 2%-19%B； 3-8 min， 19%B； 8-8.1 min， 19%-22%B； 8.1-14 min， 22%-29%B； 14-16 min， 29%B； 16-32 min， 29%-45%B； 32-32.1 min， 45%-90%B； 32.1-35 min， 90%-95%B； 35-36 min， 95%-98%B； 36-37 min， 98%-2%B； 37-40 min， 2%B）. Based on electrospray ionization（ESI）， continuum data format was collected in both positive and negative ion modes with a scanning range of m/z 50-1 500. Chemical constituents in the decoction of Baoyuantang were systematically analyzed by UNIFI 1.9.4 software matching， control comparison， The Encyclopedia of Traditional Chinese Medicine（ETCM） database search and literature reports. ResultA total of 229 components were identified under negative ion mode and 181 under positive ion mode， with a total of 322 components after removing duplicates， including 116 triterpene saponins， 66 flavonoids， 19 organic acids， 6 gingerphenols， 6 gingerols， 5 gingerones， 10 amino acids， 7 saccharides， 5 coumarins and 82 other components. Among them， 83， 141， 39， 35 and 38 components were attributed to Ginseng Radix et Rhizoma， Glycyrrhizae Radix et Rhizoma， Astragali Radix， Cinnamomi Cortex and Zingiberis Rhizoma Recens， respectively. ConclusionIn this study， the rapid characterization and identification of multi-class components in Baoyuantang was realized， and it was confirmed that the material basis of this formula was mainly triterpenoid saponins， flavonoids， gingerols and organic acids， and the chemical composition was attributed and analyzed， which provided a reference for the subsequent quality control research.

Objective To summarize the epidemiological and clinical features of infectious diseases of the central nervous system(CNS)by a single-center analysis.Methods A retrospective analysis was conducted on the data of 1247 cases of CNS infectious diseases diagnosed and treated in the First Medical Center of PLA General Hospital from 2001 to 2020.Results The data for this group of CNS infectious diseases by disease type in descending order of number of cases were viruses 743(59.6％),Mycobacterium tuberculosis 249(20.0％),other bacteria 150(12.0％),fungi 68(5.5％),parasites 18(1.4％),Treponema pallidum 18(1.4％)and rickettsia 1(0.1％).The number of cases increased by 177 cases(33.1％)in the latter 10 years compared to the previous 10 years(P<0.05).No significant difference in seasonal distribution pattern of data between disease types(P>0.05).Male to female ratio is 1.87︰1,mostly under 60 years of age.Viruses are more likely to infect students,most often at university/college level and above,farmers are overrepresented among bacteria and Mycobacterium tuberculosis,and more infections of Treponema pallidum in workers.CNS infectious diseases are characterized by fever,headache and signs of meningeal irritation,with the adductor nerve being the more commonly involved cranial nerve.Matagenomic next-generation sequencing improves clinical diagnostic capabilities.The median hospital days for CNS infectious diseases are 18.00(11.00,27.00)and median hospital costs are ￥29,500(￥16,000,￥59,200).The mortality rate from CNS infectious diseases is 1.6％.Conclusions The incidence of CNS infectious diseases is increasing last ten years,with complex clinical presentation,severe symptoms and poor prognosis.Early and accurate diagnosis and standardized clinical treatment can significantly reduce the morbidity and mortality rate and ease the burden of disease.

Objective To construct reference ranges of cardiac size and morphologic parameters in low-risk fetuses at 28-39 gestational weeks using two-dimensional speckle tracking technique.Methods A prospective collection of 453 low-risk singleton pregnancies with echocardiography at Obstetrics and Gynecology Hospital,Fudan University was used to assess the size(length,width,and area)and morphology(sphericity index,i.e.,the ratio of length to width)of the fetal four-chamber view and two ventricles using two-dimensional speckle tracking technique.Repeated inter-and intra-observer agreement of measurements was assessed using the intraclass correlation coefficients(ICCs).Statistical analysis of cardiac measurement parameters was performed to establish reference ranges of values for cardiac size and morphology in low-risk fetuses.Results The inter-and intra-group ICCs for reproducibility tests of fetal cardiac parameters measurements were 0.691 to 0.980.Fetal four-chamber view and ventricular size increased with gestational week(all P<0.001),the end-diastolic length of the left ventricle was larger than that of the right ventricle,and the end-diastolic diameter was smaller than that of the right ventricle(both P<0.001),while there was no significant difference in the end-diastolic area of the two ventricles(P= 0.050).The spherical index of four-chamber view did not correlate with gestational week(P=0.811).The sphericity index of the basal and intermediate segments of the left ventricle was greater than that of the right ventricle,and the sphericity index of the apical segment was less than that of the right ventricle,the differences were statistically significant(all P<0.01).Conclusion The two-dimensional speckle tracking technique for measuring fetal cardiac parameters has good reproducibility.The reference ranges for cardiac size and morphology in low-risk fetuses developed in this study will be useful for prenatal evaluation of cardiac remodeling.

Obiective Alzheimer’s disease (AD) is a degenerative disease of the central nervous system (CNS) caused by a variety of risk factors. There are various pathological changes, but apoptosis of the neurological meridian cells is one of the most important pathological bases. Hyperlipidemia is a high-risk factor for the development of AD, which can lead to increased levels of oxidized low-density lipoprotein (ox-LDL) in brain tissues. PCSK9 is a protease closely related to lipid metabolism, but studies have shown that it may be related to the development of AD. LRP1 is abundantly expressed in neuronal cells, and it is an important transporter for the clearance of Aβ. There is now a large amount of literature confirming that PCSK9 can induce the degradation of LRP1. PI3K/AKT is an important signaling pathway in vivo, which plays an important role in apoptosis, and there is now a large amount of literature confirming that LRP1 activates the PI3K/AKT pathway, which has an anti-apoptotic effect. So can PCSK9 affect the PI3K/AKT pathway through LRP1 and thus regulate neuronal apoptosis? This deserves further investigation.The aim of this study was to explore the role of PCSK9 in mediating ox-LDL pro-apoptotic neuronal cell death and its mechanism, and then further elaborate the mechanism of hyperlipidemia leading to neurodegenerative diseases such as AD. MethodsFirstly, PC12 cells were treated with different concentrations of ox-LDL (0, 25, 50, 75 and 100 mg/L) for 24 h. Oil red O staining was used to detect lipid accumulation in PC12 cells, Hoechst33258 staining and flow cytometry to detect apoptosis in PC12 cells, ELISA to detect the content of Aβ secreted by PC12, Western blot to detect expression of SREBP2, PCSK9 and LRP1. Then PC12 cells were treated with 75 mg/L ox-LDL for different times (0, 6, 12, 24, 48 h), and Western blot were performed to detect the expression of SREBP2, PCSK9 and LRP1. Finally, after transfecting 100 nmol/L PCSK9 siRNA into PC12 cells for 48 h, PC12 cells were treated with 75 mg/L ox-LDL for 24 h, Hoechst33258 staining and flow cytometry to detect apoptosis rate of PC12 cells, and Western blot to detect PCSK9, LRP1, PI3K, AKT, P-PI3K , P-AKT, NF-κB, Bcl-2, Bax, Caspase-9 and Caspase-3 expression, and ELISA detected Aβ content secreted by PC12 cells. Resultsox-LDL increased lipid accumulation and promoted apoptosis and Aβ secretion in PC12 cells, as well as increasing the expression of SREBP2 and PCSK9 and decreasing the expression of LRP1 in PC12 cells. pCsk9 siRNA could be inhibited through the PI3K/AKT pathway and the NF-κB-Bcl-2/Bax-Caspase-9/3 pathway to inhibit ox-LDL-induced apoptosis in PC12 cells while increasing Aβ secretion in PC12 cells. Conclusionox-LDL plays a bidirectional regulatory role in ox-LDL-induced apoptosis of PC12 cells by inducing an increase in PCSK9 expression and a decrease in LRP1 expression in PC12 cells, which in turn affects different signaling pathways downstream.

Taking Union Hospital Affiliated to Tongji Medical College of Huazhong University of Science and Technology as an example,it discusses the basic ideas and innovative practices of project organization from"passive order taking"to"active planning",platform construction from"free growth"to"directional cultivation",team construction from"wearing hats"to"focusing on actual combat",and achievement transformation from"resource guidance"to"comprehensive policy".It puts forward some suggestions that hospitals should play the leading role of"national team"in organizing scientific research and innovation practice,pay attention to the docking of national strategy,the linkage of university resources.