Background As a pillar industry in China, the manufacturing sector has a high incidence of non-fatal occupational injuries. The factors influencing non-fatal occupational injuries in this industry are closely related at various levels, including individual, equipment, environment, and management, making the analysis of these influencing factors complex. Objective To identify influencing factors of non-fatal occupational injuries among manufacturing workers, providing a basis for targeted interventions and surveillance. Methods A total of 2243 frontline workers from cable and shipbuilding enterprises were selected as study subjects to investigate the incidence of non-fatal occupational injuries and collect information at four levels: individual, equipment, management, and environment in past 12 months. Data balancing was performed using resampling, and LASSO regression was used to select factors of non-fatal occupational injuries. The influence degree and type of variables were judged based on the magnitude of the estimated coefficients of each variable, where variables with estimated coefficients > 0 are risk factors, and those <0 are protective factors. The area under the receiver operating characteristic (ROC)curve (AUC) was used to test the performance of the model, with an AUC value > 0.7 indicating good model performance. Results Among the 2243 frontline workers, males accounted for 77.7% (1742 out of 2243), with the main age range being 40-49 years old, representing 29.5% (661 out of 2243), 82.7% of the workers (1854 out of 2243) were married, and 55.6% (1248 out of 2243) had a junior middle school education level. The average monthly income for 51.0% (1144 out of 2243) of the workers was between 5000 and 6999 Chinese Yuan. The incidence of non-fatal occupational injuries among the manufacturing workers was 8.4% (189/2243) in the past 12 months. Among the 22 factors associated with the occurrence of non-fatal occupational injuries (P<0.05), 10 were individual-level factors, including gender, smoking, alcohol consumption, colleague relationships, average exercise duration, job burnout, work fatigue, musculoskeletal disorders, cardiovascular diseases, and neurological and sensory organ diseases; 3 were equipment-level factors, including equipment operability, hazardous workpieces, and safety hazards; 5 were environmental-level factors, including low temperatures, special operations, noise, workspace size, and dirty and disorderly environment; and 4 were management-level factors, including daily working hours, weekly working days, overtime, and pre-job technical training. The AUC value of the LASSO regression model was 0.704 and the final model retained a total of 10 variables. Among them, there were 7 risk factors for non-fatal occupational injuries (coefficient > 0), including safety hazards, musculoskeletal disorders, dangerous workpieces, job burnout, dirty and disorderly environment, smoking, and male gender; and 3 protective factors (coefficient < 0), including pre-job technical training, good colleague relationship, and long working days per week. Conclusion Manufacturing enterprises need to focus on the incidence of non-fatal occupational injuries and conduct targeted interventions for non-fatal occupational injuries by controlling potential safety hazards, providing pre-job technical training, reducing dangerous workpieces, rectifying working environment, and reasonably arranging working hours.

Healthy dental pulp is essential for preserving teeth and maintaining their normal function. Vital pulp therapy (VPT) is widely used in clinical applications because it aims to preserve vital pulp and enhance the long-term survival of teeth. An accurate diagnosis of pulp vitality is a prerequisite for successful VPT. However, accurately assessing pulp viability remains challenging in clinical practice. Pulp viability is influenced by various factors, including the type of pulp exposure, caries status, periodontitis, trauma, treatment factors, patient age, and individual differences. Assessing pulp viability requires a comprehensive consideration of medical history and clinical manifestations, along with a combination of various auxiliary methods, such as pulp sensibility tests, pulp blood flow tests, imaging techniques and molecular diagnostics. In the future, the technology for assessing pulp vitality should evolve toward chairside, visualization, and precision techniques, to achieve consistency between clinical and histological diagnoses, thereby providing patients with the most effective treatment.

Objective To explore the construction and visualization for knowledge graph of Ling Shu(Spiritual Pivot),with a view to providing ideas for the structured storage and display of the theoretical knowledge of the ancient Chinese medical books.Methods Using the professional idea of constructing knowledge graphs for reference,text mining technology was applied to construct the thesaurus,and then word division,entity recognition,and relationship extraction for the original text of Ling Shu were performed to get the elements of knowledge graph construction.The graph database Neo4j was used for the storage and query of the knowledge graph,and then the visual display of the knowledge graph was achieved.Results The 1 216 high-quality words consisting of the thesaurus of Ling Shu were obtained,and the construction of the knowledge graph of the theory of Ling Shu was realized.The constructed knowledge graph basically displayed the traditional Chinese medicine theories such as the correlation of visceral manifestations with essence qi,and the relationship between emotions and the five-zang organs described in Ling Shu,which made the retrieval and utilization of the related entities and relationships possible,and provided ideas for the structured storage and display of the theoretical knowledge of the ancient books of Chinese medicine.Conclusion The knowledge graph construction technology can be used to obtain the Chinese medicine theoretical knowledge graph of Ling Shu,and to display the knowledge connections of yin-yang and the five elements,and the internal organs and meridians expressed in the Ling Shu.The construction of the knowledge graph and its storage in the graph database enable the knowledge graph involved in the text of Ling Shu to be displayed in the form of visualized semantic network graph,and also make the embedding of other search systems such as the semantic search and semantic wiki possible,which will be helpful for the development of Chinese medicine intelligent medical services.

Objective·To evaluate the changes in cognitive function in overweight and obese adolescents,and explore the association between cognitive function and fibroblast growth factor 21(FGF21).Methods·A total of 175 adolescents from a senior high school in Shanghai were divided into normal weight group(n=50),overweight group(n=50)and obese group(n=75)based on their body mass index(BMI).General information,anthropometric data and laboratory testing indicators of the adolescents were collected and compared.The cognitive function of the three groups of adolescents was assessed by using the accuracy(ACC)and reaction time of Flanker task and n-back task.Enzyme-linked immunosorbent assay(ELISA)was used to detect the serum FGF21 level of the three groups of adolescents.Partial correlation analysis and multiple linear regression model were used to evaluate the correlation between cognitive task performance and anthropometric data and laboratory testing indicators.Results·Compared with the normal weight group,systolic blood pressure,diastolic blood pressure,and the levels of fasting plasma glucose,glycosylated hemoglobin and triacylglycerol in the obese group were higher(all P<0.05).Under congruent or incongruent stimulus conditions in the Flanker task,there was no significant difference in ACC between any two groups;compared with the normal weight and overweight groups,the reaction time of the adolescents in the obese group was prolonged(all P<0.05).In the n-back task,there were no significant differences in ACC between any two groups,while the obese group had longer reaction time in the 1-back and 2-back tasks compared to the normal weight and overweight groups(all P<0.05).Compared with the normal weight group,serum FGF21 levels of the adolescents in the obese group were higher(P=0.000).Partial correlation analysis showed that the reaction time of the adolescents in Flanker and n-back tasks was correlated with their BMI,body fat mass,waist circumference,waist-to-hip ratio and FGF21 level(all P<0.05).Multiple linear regression analysis further confirmed that BMI was associated with prolonged reaction time in cognitive-related behavioral tasks in the adolescents(all P<0.05),and FGF21 level was associated with ACC in the 2-back task(P=0.000)and reaction time in the incongruent stimulus condition(P=0.048).Conclusion·Overweight and obese adolescents have cognitive impairments,and BMI and serum FGF21 levels are associated with changes in their cognitive function.

Objective To evaluate the safety and efficacy of splenectomy with distal pancreatectomy during cytoreductive surgery in epithelial ovarian cancer(EOC).Methods A total of 17 patients from Zhongshan Hospital,Fudan University and the First Affiliated Hospital of University of Science and Technology of China(Anhui Provincial Hospital)received splenectomy with distal pancreatectomy during cytoreductive surgery in EOC were recruited.Their clinicopathological characteristics,postoperative complications and survival situation were retrospective analyzed.Results Of the 17 patients,there were 13 primary cases and 4 recurrent cases.Eleven cases(64.7%)had preoperative imaging finding with metastatic lesions in the splenic hilum,among whom 6 cases had distal pancreas metastasis during the operation.The drainage was placed in the splenic fossa for the measurement of amylase levels in drain fluid and was removed after 8(3-12)days.There were 4 patients had postoperative pancreatic fistula(POPF)of grade A,3 patients had POPF of grade B and no POPF of grade C occurred.The 2 patients with POPF of grade B improved after percutaneous drainage,and the rest recovered with somatostatin,antibiotic drugs and medicines without perioperative mortality.The interval between surgery to chemotherapy was 17.5(13-37)days.The median follow-up time was 14(4-64)months and the median progression-free survival was 10(5-32)months.Conclusion Splenectomy with distal pancreatectomy as part of cytoreduction surgery in EOC is needed for optimal resection,and the complication of pancreatic fistula could be managed conservatively.

Objective To explore the role of breast/ovarian cancer susceptibility gene 1 associated protein 1(BAP1)in the occurrence and progression of human malignant glioma and the feasibility of BAP1 as a clinical diagnostic marker for malignant glioma.Methods The differential expression of BAP1 in normal and glioma tissue was analyzed based on the GSE4290 and GSE90598 sub-datasets from the gene expression omnibus(GEO)database.Receiver operating characteristic(ROC)curve analysis was conducted to assess the early diagnostic value of BAP1 for malignant glioma.Primary lesion tissues from 28 nonpaired malignant glioma patients and non-tumor brain tissues removed by internal decompression surgery in 5 patients with traumatic brain injury collected independently were collected,and the expression levels of BAP1 were measured using quantitative real-time polymerase chain reaction(qRT-PCR).Specific small interfering RNAs(siRNAs)targeting BAP1 were transiently transfected into U251 cells to further evaluate their interference efficiency.Flow cytometry was employed to analyze changes in the cell cycle and apoptosis of U251 cells with BAP1 knockdown.Results The results of bioinformatics showed that the expression of BAP1 in malignant glioma tissues was lower than that in normal brain tissues(GSE 4290:1 209±18.49 vs 1 476±53.90,GSE 90598:5.19±0.10 vs 5.65±0.21),and the differences were significant(t=5.115,2.267,all P<0.05).ROC curve showed that BAP1 could efficiently differentiate malignant glioma tissue from normal brain tissue(GSE4290:AUC=0.78,GSE90598:AUC=0.75,all P<0.05).The expression level of BAP1 in primary malignant glioma tissue was lower than that in normal brain tissue(0.27±0.04 vs 1.06±0.07),and the difference was significant(t=10.22,P<0.001).After down-regulating the expression of BAP1 in U251 cells,the proportion of S phase cells increased from 17.59%to 27.21%(siBAP1-1)and 25.79%(siBAP1-2),respectively,and the differences were significant(t=6.576,6.642,all P<0.01).However,the apoptosis levels decreased from 10.17%to 2.70%(siBAP-1)and 3.00%(siBAP-2),respectively,and the differences were significant(t=10.31,9.428,all P<0.01).Conclusion Histone H2A deubiquitinase BAP1 could exert the function of tumor suppressor genes by inhibiting rapid cell cycle progression and promoting apoptosis in malignant glioma,and could serve as a potential clinical diagnostic biomarker for malignant glioma.

Objective To establish a method of LC-MS/MS for determining cordycepin(Cor)and 3′-deoxyinosine(3′-Deo)concentration in rat plasma,and to study their pharmacokinetics in rats.Methods Protein was precipitated with methanol using 2-chloadenosine(2-Chl)as an internal standard.The chromatography was performed on Kinetex C18(3 mm×100 mm,2.6 μm,Phenomenex,USA)with gradient elution in aqueous(5 mmol·L-1 ammonium acetate)-methanol solution as mobile phase.ESI ion source was used for mass spectrometry,and positive ion multiple reaction monitoring(MRM)was used for scanning detection.The pharmacokinetics of Cor and 3′-Deo after oral administration of Cor(10 mg·kg-1)were studied in rats.Results Cor at 0.5-100 ng·mL-1 and 3′-Deo at 1-200 ng·mL-1 had good linearity,and the lower limits of quantification were 0.5 and 1 ng·mL-1,respectively.After oral administration of Cor in rats,the plasma concentration of Cor was low,which was mainly converted into the metabolite 3′-Deo.The Cmax of Cor and 3′-Deo were(5.4±3.4)and(142.0±50.0)ng·mL-1,and AUC0-360min min were(658.4±459.3)and(18 034.9±4 981.1)ng·min·mL-1,respectively.Conclusion The method is simple,sensi-tive,and accurate,which is suitable for determining Cor and 3′-Deo concentration in plasma and the pharmacokinetic study.

Protein as the allergens could lead to allergy. In addition, a widespread class of allergens were known as glycans of N-glycoprotein. N-glycoprotein contained oligosaccharide linked by covalent bonds with protein. Recently,studies implicated that allergy was associated with glycans of heterologous N-glycoprotein found in food, inhalants, insect toxins, etc. The N-glycan structure of N-glycoprotein allergen has exerted an influence on the binding between allergens and IgE, while the recognition and presentation of allergens by antigen-presenting cells (APCs) were also affected. Some researches showed thatN-glycan structure of allergen was remodeled by N-glycosidase, such as cFase I, gpcXylase, as binding of allergen and IgE partly decreased. Thus, allergic problems caused by N-glycoproteins could potentially be solved by modifying or altering the structure ofN-glycoprotein allergens, addressing the root of the issue. Mechanism of N-glycans associated allergy could also be elaborated through glycosylation enzymes, alterations of host glycosylation. This article hopes to provide a separate insight for glycoimmunology perspective, and an alternative strategy for clinical prevention or therapy of allergic diseases.

Objective: To explore the correlation between Diabetes Complication Severity Index(DCSI), C-reactive protein/albumin ratio(CAR) and death in patients with diabetic foot ulcer(DFU) and to clarify their predictive value for all-cause death in DFU patients. Methods: Retrospectively analyzed the clinical data of 354 DFU patients who were treated in the Endocrinology Department of the First Affiliated Hospital of Anhui Medical University from July 2019 to December 2022. Based on survival status during follow-up, patients were divided into a survival group(n=268) and a death group(n=86). Univariate and multivariate Cox regression analyses were used to identify risk factors for all-cause death in DFU patients. Receiver operating characteristic(ROC) curves were plotted to evaluate the predictive value of DCSI, CAR, and their combination for all-cause death in DFU patients. Kaplan-Meier curves were used to explore the impact of different DCSI and CAR levels on survival in DFU patients. Results: Univariate Cox regression analysis showed that older age, history of hypertension, higher Wagner classification levels, and elevated levels of CRP, Scr, FDP, DCSI score, and CAR were associated with a higher risk of death in DFU patients(P<0.05). Higher levels of HGB, HCT, ALB, or eGFR were associated with a lower risk of death. Patients receiving combined insulin and oral hypoglycemic medication had a lower risk of death compared to those receiving only insulin therapy(P<0.05). Multivariate Cox regression analysis indicated that older age, higher levels of Scr, DCSI, and CAR were independent risk factors for all-cause death in DFU patients, while higher levels of ALB and combined insulin and oral hypoglycemic therapy were protective factors. ROC curve analysis showed that the AUC values for DCSI, CAR, and their combination were 0.652, 0.633, and 0.686, respectively. Kaplan-Meier curve analysis revealed that patients with high DCSI scores(≥4.5) had a lower survival rate compared to those with lower DCSI scores(<4.5). Similarly, patients with high CAR levels(≥0.124) had a lower survival rate compared to those with lower CAR levels(<0.124). Conclusion High levels of DCSI and CAR are independent risk factors for all-cause death in DFU patients. DCSI, CAR, and their combination have predictive value for all-cause mortality in DFU patients.

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.