Objective:To analyze the changing trends and area specific differences in influenza vaccination coverage in key populations in Shandong Province and provide evidence for influenza prevention and control.Methods:The information about influenza vaccination in Shandong during 2015 to 2024 were collected from the Immunization Information System of Shandong Province, and the annual percentage change and average annual percentage change (AAPC) were calculated by using software Joinpoint 5.3.0. The trend of changes in vaccination coverage was analyzed and area specific differences were compared.Results:From 2015 to 2024, the influenza vaccination coverage in medical personnel ranged from 0.02% to 20.54% in Shandong (AAPC=63.24%, 95% CI: 51.37%-100.65%), showing a rapid increase from 2015 to 2020 ( P<0.001) and a stead decrease from 2020 to 2024 ( P=0.008). The vaccination coverage in teachers and students ranged from 1.51% to 6.88% (AAPC=12.33%, 95% CI: -0.97%-36.27%), with a monotonic increase from 2015 to 2024 ( P=0.070). The vaccination coverage in elderly people aged ≥60 years ranged from 0.03% to 11.68% (AAPC=102.65%, 95% CI: 64.16%-208.69%), with a rapid increase from 2015 to 2017 ( P<0.001), a steady increase from 2017 to 2020 ( P<0.001), and a slower increasee from 2020 to 2024 ( P=0.046). There were area speciific differences in the temporal trend of influenza vaccination coverage. Compared with areas with low gross domestic product (GDP), the areas with high and medium GDP had significantly higher vaccination coverage and increase rates. Conclusions:The influenza vaccination coverage in key populations showed an upward trend in Shandong from 2015 to 2024, and the vaccination coverage in elderly people aged ≥60 years increased significantly. However, it is important to increase vaccination coverage in areas with low GDP and in teachers and students.

Objective: To analyze the institutional and regional differences in influenza vaccination for teachers and students, so as to provide a basis for influenza prevention and control in campus. Methods: Influenza vaccination data for teachers and students in Shandong Province from 2015 to 2024 were collected from Immunization Information Systems. Joinpoint regression models were used to calculate the annual percent change (APC) and average annual percent change (AAPC) in first-dose vaccination rates. Results: The vaccination coverages for the first dose of influenza vaccine among teachers in Shandong Province from 2015 to 2024 were 0.01%, 0.02%, 0.15%, 0.29%, 0.60%, 2.06%, 1.64%, 2.27%, 3.00%, and 2.43%, with a turning point in 2020. For preschools, primary/secondary schools, and higher education institutions, APCs during 2015-2020 were 163.36%, 162.09%, and 174.94%, respectively( P <0.01), declining to 9.53%, 9.92%, and 8.14% during 2020-2024( P >0.05). Corresponding AAPCs were 78.32%, 78.13%, and 81.61%( P <0.01). High, middle, and low GDP regions exhibited APCs of 173.84%, 162.75%, and 136.67% during 2015-2020( P <0.01) and 5.77%, 13.92%, and 11.86% during 2020-2024( P >0.05), with AAPCs of 79.42%, 81.23% , and 69.63%( P <0.01), respectively. Among students, vaccination coverage ranged from 1.59% to 7.20%. Preschool students showed no turning points, with an AAPC of 18.73%( P <0.01). Primary/secondary students had turning points in 2018 and 2022, APCs were -32.59% during 2015-2018( P <0.01), 48.45% during 2018-2022( P <0.01), and -26.25% during 2022-2024( P =0.04), yielding an AAPC of -2.32%( P =0.45). Higher education students had a turning point in 2020, with APCs of 63.27% during 2015-2020( P <0.01) and 4.31% during 2020-2024 ( P =0.77), and the AAPC was 33.79% during 2015-2024 ( P <0.01). High, middle, and low GDP regions for students showed no turning points, with AAPCs of 10.46%( P =0.18), 13.67%( P =0.01), and 10.42%( P = 0.05 ), respectively. Conclusions The influenza vaccination rate among teachers and students in Shandong Province has shown an upward trend from 2015 to 2024, but the overall level is still relatively low. However, continued efforts are needed to enhance health education on influenza and vaccination, to further improve the vaccination rate of teachers and students.

Multibody dynamics simulation of the musculoskeletal system is an essential tool for analyzing the biomechanical mechanisms underlying human motion.Recent research trends have shifted from traditional physics-based models toward data-driven or data-physics hybrid frameworks.This review presents the latest developments in these areas.Physics-based multibody dynamics simulations have undergone significant progress in terms of simulation fidelity,optimization algorithms,and software tools.However,their practical implementation remains constrained by the need for complex experimental data and the computational expense of solving differential equations.Conversely,data-driven method bolstered by advancements in deep learning have demonstrated remarkable efficiency in predicting joint angles,postures,ground reaction forces,joint torques,and muscle forces,as well as developing control algorithms for exoskeletons.However,despite these advantages,data-driven approaches face challenges such as limited generalizability and potential violation of biomechanical principles.To address these limitations,data-physics hybrid approaches(e.g.,physics-informed neural network,PINN)which integrate physical constraints(e.g.,Newton-Euler equations,muscle constitutive laws)with data-driven architectures have been developed.This synergy enhances prediction accuracy while preserving the biological plausibility of solutions.Nevertheless,critical challenges persist,including the integration of multi-scale physical equations and the modeling of multi-joint coordination dynamics.Future research should prioritize:optimizing hybrid model architectures to balance computational efficiency and mechanistic accuracy,incorporating markerless motion capture techniques to improve real-world applicability,exploiting multi-scale physics and personalized parameter inversion to advance precision rehabilitation and motion analysis.These efforts will foster innovations in intelligent rehabilitation systems,clinical motion assessment,and related translational fields.

Objective:To analyze the changing trends and area specific differences in influenza vaccination coverage in key populations in Shandong Province and provide evidence for influenza prevention and control.Methods:The information about influenza vaccination in Shandong during 2015 to 2024 were collected from the Immunization Information System of Shandong Province, and the annual percentage change and average annual percentage change (AAPC) were calculated by using software Joinpoint 5.3.0. The trend of changes in vaccination coverage was analyzed and area specific differences were compared.Results:From 2015 to 2024, the influenza vaccination coverage in medical personnel ranged from 0.02% to 20.54% in Shandong (AAPC=63.24%, 95% CI: 51.37%-100.65%), showing a rapid increase from 2015 to 2020 ( P<0.001) and a stead decrease from 2020 to 2024 ( P=0.008). The vaccination coverage in teachers and students ranged from 1.51% to 6.88% (AAPC=12.33%, 95% CI: -0.97%-36.27%), with a monotonic increase from 2015 to 2024 ( P=0.070). The vaccination coverage in elderly people aged ≥60 years ranged from 0.03% to 11.68% (AAPC=102.65%, 95% CI: 64.16%-208.69%), with a rapid increase from 2015 to 2017 ( P<0.001), a steady increase from 2017 to 2020 ( P<0.001), and a slower increasee from 2020 to 2024 ( P=0.046). There were area speciific differences in the temporal trend of influenza vaccination coverage. Compared with areas with low gross domestic product (GDP), the areas with high and medium GDP had significantly higher vaccination coverage and increase rates. Conclusions:The influenza vaccination coverage in key populations showed an upward trend in Shandong from 2015 to 2024, and the vaccination coverage in elderly people aged ≥60 years increased significantly. However, it is important to increase vaccination coverage in areas with low GDP and in teachers and students.

Multibody dynamics simulation of the musculoskeletal system is an essential tool for analyzing the biomechanical mechanisms underlying human motion.Recent research trends have shifted from traditional physics-based models toward data-driven or data-physics hybrid frameworks.This review presents the latest developments in these areas.Physics-based multibody dynamics simulations have undergone significant progress in terms of simulation fidelity,optimization algorithms,and software tools.However,their practical implementation remains constrained by the need for complex experimental data and the computational expense of solving differential equations.Conversely,data-driven method bolstered by advancements in deep learning have demonstrated remarkable efficiency in predicting joint angles,postures,ground reaction forces,joint torques,and muscle forces,as well as developing control algorithms for exoskeletons.However,despite these advantages,data-driven approaches face challenges such as limited generalizability and potential violation of biomechanical principles.To address these limitations,data-physics hybrid approaches(e.g.,physics-informed neural network,PINN)which integrate physical constraints(e.g.,Newton-Euler equations,muscle constitutive laws)with data-driven architectures have been developed.This synergy enhances prediction accuracy while preserving the biological plausibility of solutions.Nevertheless,critical challenges persist,including the integration of multi-scale physical equations and the modeling of multi-joint coordination dynamics.Future research should prioritize:optimizing hybrid model architectures to balance computational efficiency and mechanistic accuracy,incorporating markerless motion capture techniques to improve real-world applicability,exploiting multi-scale physics and personalized parameter inversion to advance precision rehabilitation and motion analysis.These efforts will foster innovations in intelligent rehabilitation systems,clinical motion assessment,and related translational fields.

In order to clean the endoscopic tube more effectively, a new double-headed endoscopic cleaning brush was used in this study. A total of 130 colonoscopies were selected from the Digestive Endoscopy Center of Ruijin Hospital, Shanghai Jiao Tong University School of Medicine from June 2019 to August 2020. The colonoscopy cleaning sequence was marked with odd and even number. Colonoscopies marked with the odd number were assigned to the conventional group ( n=65) which received back and forth cleaning with the single-headed endoscope cleaning brush. Colonoscopies marked with the even number were assigned to the experimental group ( n=65) which received one-way cleaning with a nylon brush at the head and a dense non-woven brush at the tail. The cleaning methods for endoscopes were in accordance with Flexible Endoscopic Cleaning and Disinfection Technical Specification WS507—2016. ATP bioluminescence tests and bacterial quantitative cultures were applied to evaluate the cleaning effects of the two methods. The results showed that ATP relative light unit (RLU) decreased in both the experimental group and the conventional group [530.63 RLU (26-3 559 RLU) VS 270.87 RLU (20-1 415 RLU)] before and after cleaning the endoscope tube, showing significant difference between the two groups ( Z=-2.894, P<0.05). After scrubbing, the positive rate of bacterial culture on the brush head was 86.2% (56/65) for the double-headed non-woven brush head, 46.2% (30/65) for the double-headed nylon brush head and 32.3% (21/65) for the single-headed nylon brush head with significant differences among the three groups ( χ 2=41.046, P<0.05). The cleaning effect of the new double-headed endoscopic cleaning brush is better than that of the conventional single-headed endoscopic cleaning brush for soft endoscope cleaning. Non-woven brush is better than nylon brush in eliminating bacteria.

Objective To investigate the mechanism of TNF-related apoptosis-inducing ligand (TRAIL) promoting apoptosis of pancreatic cancer cells SW1990, Patu8988 and BxPC3. Methods Three kinds of pancreatic cancer cells SW1990, Patu8988 and BxPC3 were transfected with the pCA13 plasmid carrying TRAIL gene ( pCA13 TRAIL group) and the blank plasmid control ( pCA13 group) , respectively. The expression of TRAIL mRNA in transfected cells was detected by RT-PCR, and the expression of TRAIL protein was detected by Western blot. The apoptosis rate and expression of TRAIL receptor R1 and R2 were detected by flow cytometry. Apoptosis was detected by TUNEL and Hoechst double staining, and observed by electron microscopy. The expression of caspase-3 in transfected cells was detected by immunohistochemistry. Results SW1990, Patu8988 and BxPC3 cells can expresse TRAIL mRNA and protein within 24 h after transfection. The apoptotic rate at 24 h after transfection was (27. 30 ± 5. 14)％, (13. 52 ± 0. 95)％ and (31. 40 ± 8. 70)％,respectively, which was higher than that of pCA13 group [(10. 58 ± 1. 88)％,(8. 42 ± 0. 46)％ and (16.11 ±1.66)％], respectively. The expression rates of TRAIL-R1 were (61.37 ± 3.05)％,(42.10 ± 5. 11)％ and (36. 64 ± 4. 84)％, respectively, and the expression rates of TRAIL-R2 were (36. 20 ± 4. 83)％,(37. 26 ± 8. 46)％ and (24. 32 ± 3. 71)％, respectively,which were higher than those of pCA13 group except PATU8988 cells. Positivity rates of caspase-3 were ( 14. 64 ± 5. 35 )％, ( 9. 92 ± 5. 50 )％ and (16. 12 ± 6. 74)％, which were obviously higher than ( 3. 01 ± 1. 50 )％, ( 1. 75 ± 0. 50 )％ and ( 3. 79 ± 1. 58)％ in pCA13 group,and the differences were statistically significant(P<0. 05). Conclusions TRAIL could up-regulate the expression of TRAIL R1 and R2 in multiple pancreatic cancer cell lines in vitro, and thus promote cell apoptosis.

Objective To analyze the prevalence of Clostridium difficile infection (CDI) in patients with inflammatory bowel disease (IBD) accompanied with diarrhea in order to analyze the possible risk factors and its impact on short-term prognosis.Methods From January 2013 to June 2015,a total of 169 IBD patients with diarrhea who visited Rui Jin Hospital,School of Medicine,Shanghai Jiaotong University were enrolled,and in the same period 184 non-IBD patients with diarrhea were enrolled as control group.Clinical data of IBD patients with diarrhea were collected.Clostridium difficile toxins A and B of stool specimens of all included patients were detected with enzyme immunoassay.T test,chi-square test and logistic regression analysis were performed for statistical analysis.Results Among 169 IBD patients with diarrhea,there were 137 adults and 32 children.The positive rate of CDI of IBD patients with diarrhea (9.5％,16/169) was higher than that of non-IBD patients with diarrhea (1.1％,2/184),and the difference was statistically significant (x2 =12.785,P ＜ 0.0l).The positive rate of CDI in adults and children with IBD accompanied with diarrhea were 7.3％ (10/137),and 18.8％ (6/32),respectively.Among 16 CDI-positive IBD patients with diarrhea,10 patients had hospitalization history before admission,and the rate of previous hospitalizations was higher than that of CDI-negative IBD patients with diarrhea (37.3％,57/153),and the difference was statistically significant (x2 =2.875,P =0.01,odds ratio (OR) =1.26,95％ confidence interval (CI) 0.78 to 2.03).Furthermore,among 16 CDI-positive IBD patients with diarrhea,14 patients had been treated with antibiotic drugs before,the antibiotic utilization rate was higher than that of CDI-negative IBD patients with diarrhea (34.6％,53/153),and the difference was statistically significant (x2 =14.778,P ＜ 0.01,OR =24.74,95％ CI 3.15 to 194.46).However,there was no statistically significant difference in the length of hospitalization,incidence of bowel surgery and usage of inflaximab within six months after Clostridium difficile detection between the CDI-positive group and CDInegative group of 1BD patients with diarrhea (all P ＞ 0.05).Conclusions The incidence of CD1 in IBD patients with diarrhea increases.The risk factors include history of previous hospitalization before admission and antibiotic usage.However there is no significant correlation between CDI and short-term prognosis of IBD.

Diagnosis related-group (DRG) has been widely used in health service performance management and will become an important tool in the reform of health insurance payment system in China. This article introduced the connotation and characteristics of DRG, clarified the scope of DRG application, and then analyzed the opportunities and challenges of DRG introduction to nursing in China. With the development opportunities brought by the macro-environment change, nurses should take positive attitude towards the exploring and demonstrating the significance of nursing in health care, obtain more advancement, and guarantee the sound promotion of nursing in this reform.

Aim To study the anti-inflammatory activity of the Channa argus bile.Methods The bile was isolated and purified by extraction and silica gel column chromatography.Then the compounds were identified by hydrogen and carbon spectra.The spleen lymphocytes proliferation assay and Lipopolysaccharide(LPS) induced mouse macrophage RAW264.7 releasing Nitrogen Monoxide(NO) experiment were used to evaluate the anti-inflammatory activity.Results Compound(C1) of sodium taurocholate and compound(C2) of sodium taurochenodeoxycholate were isolated by activity tracing.The cell relative viabilities of the two compounds on Concanavalin A(Con A) induced spleen lymphocytes proliferation assay were 65.9%±11.7% and 60.5%±9.4%, which were significantly different from the result of model group (P<0.01), respectively.The NO production of LPS-induced RAW264.7 release of NO was (16.4±1.9) μmol·L-1 and (15.5±1.7) μmol·L-1, which were significantly different from the result of model group(P<0.01).Conclusion Sodium taurocholate and sodium taurochenodeoxycholate from Channa argus perform the anti-inflammatory activities but have no cytotoxic effect on spleen lymphocytes and macrophage.