Background/Aims: Non-pharmacological treatments are crucial for managing irritable bowel syndrome (IBS), yet patient engagement remains a challenge. Understanding patients' knowledge, attitudes, and practices regarding these treatments is essential for improving care. Methods: A cross-sectional study was conducted across 5 hospitals, from October 2023 to February 2024. A self-designed knowledge, attitudes, and practices questionnaire along with the IBS quality of life and IBS severity scoring system was administered, and 496 valid responses were analyzed. Statistical analyses included correlation tests, multivariate linear regression, and mediation effect analysis. Results: The median scores for knowledge, attitude, and practice were 28, 25.5, and 21, respectively. Significant positive correlations were found between knowledge-attitude (r = 0.195), knowledge-practice (r = 0.364), and attitude-practice (r = 0.151). The multivariate linear regression analysis further indicated that knowledge (β = 0.399, P < 0.001) and attitude (β = 0.219, P = 0.022) positively correlated with the practical performance. SEM revealed that knowledge had a significant direct effect on both attitude (β = 0.186, P = 0.013) and practice (β = 0.356, P = 0.006). However, the direct effect of attitude on practice was not significant, and attitude did not mediate the relationship between knowledge and practice. Conclusions IBS patients exhibit a significant gap between their positive attitudes and their actual practices concerning non-pharmacological treatments. Knowledge is a direct driver of practice, but positive attitudes alone are insufficient to translate into behavior. Healthcare providers must move beyond simply fostering positive attitudes and focus on targeted educational interventions that provide actionable knowledge and skills to improve patient outcomes.

The functional realization of proteins and other biological macromolecules depends on conformational dynamics and allosteric regulation, and elucidating their molecular mechanisms is an important foundation for understanding life processes. Molecular dynamics simulations are a powerful tool for investigating conformational evolution at the atomic level. However, traditional methods are limited by simulation timescales and high free-energy barriers, making it difficult to effectively capture rare conformations and their transition pathways. As a result, the development of enhanced sampling techniques has become key to overcoming this bottleneck. As a classical enhanced sampling technique, metadynamics suffers from several shortcomings, including strong dependence on collective variables and significant errors caused by bias potential accumulation. This article reviews three major improvement strategies. The first combines stochastic resetting with metadynamics, using trajectory-resetting mechanisms to improve sampling efficiency while avoiding the difficulty of optimizing collective variables. The second, SinkMeta, employs a “sinking” bias effect to enable efficient exploration of specific regions and paths. The third, OPES-based hybrid methods, improve the stability of free-energy estimation by optimizing the target distribution or the way the bias is constructed. These methods provide new ideas for characterizing free-energy landscapes and studying conformational transitions in complex biological systems, while also promoting the continued development of enhanced sampling methodologies.

Encephalomyocarditis virus(EMCV)is a zoonotic pathogen that causes encephalitis and myocarditis as its primary clinical manifestations.To explore effective preventive measures,this study utilized a Bac-to-Bac expression system to insert the EMCV P12A and 3C genes into the pFastBacDual shuttle vector,resulting in the generation of the recombinant baculovirus Ac-P12A-3C.This facilitated the large-scale expression and purification of EMCV virus-like particles(VLPs),which were correctly assembled into particles of approximately 30 nm in diameter,as ob-served by electron microscopy.Immunization and challenge experiments in mice demonstrated that these VLPs could effectively protect against EMCV infection,achieving a protection rate of 100％.Histopathological sections indicated that,compared to the PBS control group,the VLP immuniza-tion group exhibited significantly reduced tissue damage,along with a marked decrease in viral load within the tissues.In piglets,immunization with the VLPs elicited a robust humoral response,with neutralizing antibody titers reaching 1∶320 to 1∶640 after a second immunization,and no signifi-cant adverse reactions were observed throughout the immunization process.This study preliminarily explores the immunogenicity and safety of the VLP vaccine,laying the foundation for the development of a subunit vaccine based on EMCV VLPs and offering a new strategy for the prevention and control of encephalomyocarditis.

Objective To design an intelligent airborne soldier physical training system based on human body composition analysis to solve the problems in diversity of training mode,targeted training plan and high incidence of military training-related injuries.Methods The intelligent airborne military physical training system was designed with B/S architecture and developed with Python language,which was composed of four functional modules for airborne soldier information acquisition,trainee physical fitness state assessment,physical fitness training program recommendation and airborne soldier physical fitness training program evaluation.The airborne soldier information acquisition module collected and analyzed the trainee physiological parameter information with a human body composition analyzer,clarified the parameter characteristics related to physical training with considerations on military physical training requirements and constructed a trainee physical fitness assessment parameter model;the trainee physical fitness state assessment module established an evaluation model based on machine learning to realize stage-by-stage physical fitness evaluation for airborne soldiers;the physical fitness training program recommendation module was constructed based on the physical training feature similarity algorithm and graph embedding theory to provide decision making assistance for program development of airborne military physical training;the airborne soldier physical fitness training program evaluation module compared the physical fitness and evaluation results before and after training by means of list and chart,and updated the training program based on the evaluation results by calling the physical training program recommendation module.Results The intelligent airborne soldier physical training system contributed to forming an individualized physical fitness training recommendation mechanism after trainee body evaluation,modifying training program based on comparison and feedback for stage-by-stage training evaluation,so as to decrease the incidence of military training-related injuries while increasing the training efficiency.Conclusion The system developed improves airborne soldier physical training in rationality and reliability,and provides references for intelligent military training of the PLA.[Chinese Medical Equipment Journal,2025,46(2):16-23]

Objective:To study the influencing factors of postpartum post-traumatic stress disorder(PTSD)in pregnant women in the third trimester of pregnancy based on propensity score matching(PSM).Methods:A retrospective analysis was conducted on clinical data of 220 pregnant women in the third trimester who visited our hospital from October 2022 to October 2024,they were divided into PTSD group(n=52)and non-PTSD group(n=168)based on whether PTSD occurred.PSM was adopted to match the age,body mass index(BMI),educational level,average monthly income per capita,natural conception,premature birth,pregnancy complications,first delivery,insomnia,the progress of labor,parenting methods,infant health status and postpartum depression of the two groups at a 1∶1 ratio.After matching,Logistic regression was used to analyze the influencing factors of postpartum PTSD in pregnant women in the third trimester of pregnancy.Result:When comparing the educational level,natural conception,premature birth,pregnancy complications,progress of labor and postpartum depression of the two groups before matching,the differences were statistically significant(P＜0.05).When comparing the comparisons of educational level,natural conception,premature birth,pregnancy complications,progress of labor and postpartum depression of the two groups after matching,the differences were statistically significant(P＜0.05).Logistic regression analysis showed that junior high school education level or below,non-natural conception,premature birth,pregnancy complications,abnormal labor process and postpartum depression were risk factors for PTSD(P＜0.05).Conclusion:Based on PCM,it was found that low educational level,non-natural conception,premature birth,pregnancy complications,abnormal labor process and postpartum depression are risk factors for postpartum PTSD in pregnant women in the third trimester of pregnancy,and reasonable preventive interventions could be taken as early as possible in pregnant women with high risk of PTSD.

Objective:To study the influencing factors of postpartum post-traumatic stress disorder(PTSD)in pregnant women in the third trimester of pregnancy based on propensity score matching(PSM).Methods:A retrospective analysis was conducted on clinical data of 220 pregnant women in the third trimester who visited our hospital from October 2022 to October 2024,they were divided into PTSD group(n=52)and non-PTSD group(n=168)based on whether PTSD occurred.PSM was adopted to match the age,body mass index(BMI),educational level,average monthly income per capita,natural conception,premature birth,pregnancy complications,first delivery,insomnia,the progress of labor,parenting methods,infant health status and postpartum depression of the two groups at a 1∶1 ratio.After matching,Logistic regression was used to analyze the influencing factors of postpartum PTSD in pregnant women in the third trimester of pregnancy.Result:When comparing the educational level,natural conception,premature birth,pregnancy complications,progress of labor and postpartum depression of the two groups before matching,the differences were statistically significant(P＜0.05).When comparing the comparisons of educational level,natural conception,premature birth,pregnancy complications,progress of labor and postpartum depression of the two groups after matching,the differences were statistically significant(P＜0.05).Logistic regression analysis showed that junior high school education level or below,non-natural conception,premature birth,pregnancy complications,abnormal labor process and postpartum depression were risk factors for PTSD(P＜0.05).Conclusion:Based on PCM,it was found that low educational level,non-natural conception,premature birth,pregnancy complications,abnormal labor process and postpartum depression are risk factors for postpartum PTSD in pregnant women in the third trimester of pregnancy,and reasonable preventive interventions could be taken as early as possible in pregnant women with high risk of PTSD.

Encephalomyocarditis virus(EMCV)is a zoonotic pathogen that causes encephalitis and myocarditis as its primary clinical manifestations.To explore effective preventive measures,this study utilized a Bac-to-Bac expression system to insert the EMCV P12A and 3C genes into the pFastBacDual shuttle vector,resulting in the generation of the recombinant baculovirus Ac-P12A-3C.This facilitated the large-scale expression and purification of EMCV virus-like particles(VLPs),which were correctly assembled into particles of approximately 30 nm in diameter,as ob-served by electron microscopy.Immunization and challenge experiments in mice demonstrated that these VLPs could effectively protect against EMCV infection,achieving a protection rate of 100％.Histopathological sections indicated that,compared to the PBS control group,the VLP immuniza-tion group exhibited significantly reduced tissue damage,along with a marked decrease in viral load within the tissues.In piglets,immunization with the VLPs elicited a robust humoral response,with neutralizing antibody titers reaching 1∶320 to 1∶640 after a second immunization,and no signifi-cant adverse reactions were observed throughout the immunization process.This study preliminarily explores the immunogenicity and safety of the VLP vaccine,laying the foundation for the development of a subunit vaccine based on EMCV VLPs and offering a new strategy for the prevention and control of encephalomyocarditis.

Objective To design an intelligent airborne soldier physical training system based on human body composition analysis to solve the problems in diversity of training mode,targeted training plan and high incidence of military training-related injuries.Methods The intelligent airborne military physical training system was designed with B/S architecture and developed with Python language,which was composed of four functional modules for airborne soldier information acquisition,trainee physical fitness state assessment,physical fitness training program recommendation and airborne soldier physical fitness training program evaluation.The airborne soldier information acquisition module collected and analyzed the trainee physiological parameter information with a human body composition analyzer,clarified the parameter characteristics related to physical training with considerations on military physical training requirements and constructed a trainee physical fitness assessment parameter model;the trainee physical fitness state assessment module established an evaluation model based on machine learning to realize stage-by-stage physical fitness evaluation for airborne soldiers;the physical fitness training program recommendation module was constructed based on the physical training feature similarity algorithm and graph embedding theory to provide decision making assistance for program development of airborne military physical training;the airborne soldier physical fitness training program evaluation module compared the physical fitness and evaluation results before and after training by means of list and chart,and updated the training program based on the evaluation results by calling the physical training program recommendation module.Results The intelligent airborne soldier physical training system contributed to forming an individualized physical fitness training recommendation mechanism after trainee body evaluation,modifying training program based on comparison and feedback for stage-by-stage training evaluation,so as to decrease the incidence of military training-related injuries while increasing the training efficiency.Conclusion The system developed improves airborne soldier physical training in rationality and reliability,and provides references for intelligent military training of the PLA.[Chinese Medical Equipment Journal,2025,46(2):16-23]

OBJECTIVE: This study aimed to explore the association between body mass index (BMI) and mortality based on the 10-year population-based multicenter prospective study. METHODS: A general population-based multicenter prospective study was conducted at four sites in rural China between 2013 and 2023. Multivariate Cox proportional hazards models and restricted cubic spline analyses were used to assess the association between BMI and mortality. Stratified analyses were performed based on the individual characteristics of the participants. RESULTS: Overall, 19,107 participants with a sum of 163,095 person-years were included and 1,910 participants died. The underweight (< 18.5 kg/m ²) presented an increase in all-cause mortality (adjusted hazards ratio [ aHR] = 2.00, 95% confidence interval [ CI]: 1.66-2.41), while overweight (≥ 24.0 to < 28.0 kg/m ²) and obesity (≥ 28.0 kg/m ²) presented a decrease with an aHR of 0.61 (95% CI: 0.52-0.73) and 0.51 (95% CI: 0.37-0.70), respectively. Overweight ( aHR = 0.76, 95% CI: 0.67-0.86) and mild obesity ( aHR = 0.72, 95% CI: 0.59-0.87) had a positive impact on mortality in people older than 60 years. All-cause mortality decreased rapidly until reaching a BMI of 25.7 kg/m ² ( aHR = 0.95, 95% CI: 0.92-0.98) and increased slightly above that value, indicating a U-shaped association. The beneficial impact of being overweight on mortality was robust in most subgroups and sensitivity analyses. CONCLUSION This study provides additional evidence that overweight and mild obesity may be inversely related to the risk of death in individuals older than 60 years. Therefore, it is essential to consider age differences when formulating health and weight management strategies.
Humans ; Body Mass Index ; China/epidemiology* ; Male ; Female ; Middle Aged ; Prospective Studies ; Rural Population/statistics & numerical data* ; Aged ; Follow-Up Studies ; Adult ; Mortality ; Cause of Death ; Obesity/mortality* ; Overweight/mortality*

AIM:To investigate the molecular mechanisms of KG-1 cell proliferation by profiling its responses to various protein kinase inhibitors.METHODS:CCK-8 assay,real time quantitative PCR(qRT-PCR)and Western-blot were used to detect the effect of various protein kinase inhibitors on KG-1 cell proliferation,the expression levels of mRNA and phosphorylation level of signaling pro-teins in the FGFR1 downstream pathways.RE-SULTS:NVP-BGJ398 and PD173074 effectively in-hibited the proliferation of KG-1 cells,indicative of a crucial role of FGFR downstream signaling.After treatment with FGFR inhibitors,the levels of p-FG-FR1OP2-FGFR1 and p-STAT5 decreased significantly(P<0.001),p-AKT decreased slightly(P<0.05),with-out affecting the p-ERK level(P>0.05).CONCLU-SION:FGFR1OP2-FGFR1 mainly acts on the down-stream STAT5 signaling pathway to promote cell proliferation.Comprehensive protein kinase inhibi-tion analysis is a reliable and direct approach to identify functional drivers of cancer cell prolifera-tion.