Objective: To investigate the intervention effects and mechanisms of function-rehabilitation-oriented physical training on the physical health of higher vocational college students, so as to provide replicable strategies for integrating physical education with health education in such institutions. Methods: In March 2024, a cluster random sampling method was employed to select 312 first and second year non sports major students from Chongqing Water Resources and Electric Engineering College as research subjects, and the selected classes were randomly divided into an intervention group ( n =151) and a control group ( n =161) by using a random number table. Both groups received a 16 week intervention program consisting of 2 academic hours per week from Macrh to July 2024. The control group followed the standard teaching curriculum for public physical education courses in higher vocational education, while the intervention group incorporated a function-rehabilitation-oriented physical training module into the regular physical education curriculum. For the module, stratified functional correction was implemented based on pre class functional movement screening results, with dedicated 10-15 minute intervention sessions per lesson accompanied by personalized exercise prescriptions delivered three times weekly. Before and after the intervention, Functional Movement Screen, the Exercise Attitude Scale, and the National Student Physical Health Standards (2014 Revision) were used for pre and post intervention assessments. Main effect of the intervention was examined via repeated measures analysis of variance, while chain mediating effect was analyzed by using the Hayes Process macro program. Results: After the intervention, the scores for functional movement quality (15.82±2.35), physical exercise attitude (237.64±17.22), and physical health level (76.45±7.82) in the intervention group were significantly higher than those before intervention (13.10±2.41, 199.51±15.78, 70.30±8.34) and those in the control group during the same period (13.08±2.81, 199.02±18.67, 71.42±7.56)( t =10.07, 20.34, 6.58; 9.21, 19.17, 5.57, all P < 0.01 ). Function-rehabilitation-oriented physical training directly and positively predicted physical health status ( β =0.18). Functional movement quality (effect size=0.21) and physical exercise attitude (effect size= 0.15 ) each served as independent mediators, their chain mediating effect was statistically significant (effect size=0.10)(all P < 0.01 ), with the total indirect effect accounting for 71.88% of the overall effect. Conclusion Function-rehabilitation-oriented physical training significantly improves the physical health of vocational college students through both direct effects and chain pathways, making it suitable for widespread implementation in vocational education institutions.

Objective: To investigate the weight loss effect of a comprehensive intervention model combining caloric restriction (CR), physical activity (PA), behavioral therapy (BT), breathing exercise (BE), and functional movement corrective training (FMCT)-referred to as the "CPBBF" model in overweight and obese female college students, so as to provide a reference for scientific weight loss interventions for college students. Methods: From March to May 2022, 46 overweight and obese female college students from Chongqing Water Resources and Electric Engineering College were recruited and randomly divided into an experimental group (24 participants) and a control group (22 participants). The control group received CR (prohibiting ad libitum snacking), PA in the first week, high intensity interval training (HIIT) for 30 s, and moderate intensity continuous training (MICT) for 1-5 min alternate 4 sets, duration 15-20 min. From the second week, adjust to HIIT and MICT alternating 3 min each for 5 sets, totaling 30 min, 4 times/week, 70 min/time and BT (60-90 min/session, 3 times/week). The experimental group incorporated FMCT (10-15 min of focused training per session, integrated with PA and daily life) and BE (advocating a gradual transition to proper breathing methods in daily life and low intensity training, 5 sessions/day, 10 min each). Body oxygen level test (BOLT), Functional Movement Screen (FMS), sports exercise attitude, and body composition indicators were measured at baseline (T0), after 12 weeks of intervention (T1), and after one year of follow up (T2). The differences were analyzed between groups through generalized estimation equations, and mixed effect model analysis was employed to explore predictive relationships among variables. Results: The results of the generalized estimation equation showed that time main effects of BOLT values, FMS scores, and exercise attitude among female college students were statistically significant ( Wald χ 2=18.75, 14.89, 12.45, all P <0.01); further intragroup comparisons revealed that BOLT， functional motor screening (FMS) scores, and physical exercise attitudeof female college students in the experimental group increased compared to T0, while the control group only showed an increase at T1 (all P <0.05). The group main effects for the aforementioned three indicators were statistically significant ( Wald χ 2=6.33, 5.21, 4.88), and the time by group interactions of BOLT values and FMS scores were also statistically significant ( Wald χ 2=4.56, 3.97) (all P <0.05). The time main effects of body weight, body mass index (BMI), and body fat ratio(BFR) in female college students were statistically significant ( Wald χ 2=44.27, 13.90, 82.33); further intragroup comparisons revealed that the experimental group of female college students showed a decrease in body weight, BMI and BFR at T1 and T2 compared to T0, while the control group only showed a decrease in these indicators at T1 (all P <0.05). The group main effects of weight and BFR were statistically significant ( Wald χ 2= 4.11 , 6.46), and the time by group interaction of BFR was statistically significant ( Wald χ 2=8.73) (all P <0.05).The results of mixed effect model analysis showed that BOLT ( β =1.52) and FMS ( β =1.81) could both positively predict physical exercise attitude, and physical exercise attitude had statistically significant negative predictive effects on weight, BMI, and BFR ( β =-0.08, -0.03 , -0.03) (all P <0.01). Conclusion The "CPBBF" comprehensive intervention effectively maintains weight loss effects by modulating the energy compensation mechanism with strong robustness.

Five saponins were isolated from the kernels of Momordica cochinchinensis, by macroporous resin, silica gel, ODS column chromatography, and semi preparative HPLC. Based on MS and NMR analysis, combining with alkaline hydrolysis and acid hydrolysis, their structures were identified as: gypsogenin-3-O-{β-D-galactopyranosyl (1→2)-[α-L-rhamnopyranosyl (1→3)]-β-D-glucuropyranonosyl}-28-O-β-D-xylopyranosyl (1→3)-[β-D-xylopyranosyl (1→4)]-α-L-rhamnopyranosyl (1→2)-β-D-fucopyranoside (1), quillaic acid-3-O-{β-D-galactopyranosyl (1→2)-[α-L-rhamnopyranosyl (1→3)]-β-D-glucuropyranonosyl}-28-O-β-D-xylopyranosyl (1→3)-[β-D-xylopyranosyl (1→4)]-α-L-rhamnopyranosyl (1→2)-β-D-fucopyranoside (2), gypsogenin-3-O-β-D-galactopyranosyl (1→2)-[α-L-rhamnopyranosyl (1→3)]-β-D-glucuropyranonoside sodium (3), quillaic acid-3-O-β-D-galactopyranosyl (1→2)-[α-L-rhamnopyranosyl (1→3)]-β-D-glucuropyranonoside sodium (4), 18α-quillaic acid-3-O-β-D-galactopyranosyl (1→2)-[α-L-rhamnopyranosyl (1→3)]-β-D-glucuropyranonoside (5). Compounds 1-5 were new compounds, and named as mubezhisides A, B, C, D, E, respectively. They all could obviously inhibited the growth of Candida albicans, C. parapsilosis, and C. tropicalis.

In view of the few studies on the influence of Armillaria spp. infection on the content of the chemical components in different parts of Polyporus umbellatus sclerotia, this study determined the biomass of P. umbellatus sclerotia and the contents of ergosterol, polyporusterone A, polyporusterone B and polysaccharide in the separated cavity wall of the sclerotia and the uninfected part of the sclerotia in different harvesting years under the conditions of A. gallica and A. mellea infection respectively. According to the difference of content and dynamic changes of the polysaccharide and the steroid substances, the superior Armillaria sp. was screened to obtain the best harvest years of P. umbellatus. Using HPLC and UV-VIS spectrophotometry methods, the contents of ergosterol, polyporusterone A, polyporusterone B and polysaccharide in P. umbellatus sclerotia infected by the two Armillaria spp. in different years were determined. In addition, the differentially expressed genes related to P. umbellatus polysaccharide synthesis were screened according to the transcriptomic data of different parts of P. umbellatus after A. mellea infection. With the increase of years, the biomass of sclerotia infected by different Armillaria spp. had significant differences, and there were significant differences in the four components of sclerotia. The four components of the separated cavity wall of the sclerotia were significantly higher than those of the uninfected part. The best harvest time was the third year after cultivation. Transcriptomic analysis showed that the infection of Armillaria spp. could significantly promote polysaccharide synthesis, which provided a basis for polysaccharide content determination at the molecular level. The study clarified the influence of different Armillaria spp. infection on the accumulation of chemical components of P. umbellatus sclerotia, laying a foundation for exploring the symbiosis mechanism and provided a scientific clue for screening superior Armillaria sp. and guiding the artificial cultivation of P. umbellatus sclerotia.

The Guidelines for Occupational Hazard Assessment and Control of Active Pharmaceutical Ingredient in the Pharmaceutical Industry (T/WSJD 60—2024) is the first guiding standard in the field of health in China that focuses on occupational health protection for active pharmaceutical ingredient (API). It covers the general principles, work procedures, assessment methods, and control strategies for API occupational hazard assessment, providing practical guidance and recommendations for pharmaceutical enterprises to eliminate or reduce occupational health risks associated with API, improve working environment, and enhance refined management practices. This article interpreted and analyzed the background of standard establishment, formulation process, fundamental basis, and main content, to provide scientific and comprehensive technical support for occupational health managers in the pharmaceutical industry to better apply this standard.

Objective To develop and compare prediction models for hyperuricemia(HUA)in perim-enopausal and postmenopausal women using Lasso regression,random forest,and multivariate logistic regres-sion.Methods A multi-stage,stratified cluster sampling method was used to select 12 790 subjects from An-ning City,Yunnan Province.Prediction models for HUA were constructed using Lasso regression,random for-est,and multivariate logistic regression.The efficacy of the model was evaluated by accuracy,sensitivity,speci-ficity,F1 score,and area under the curve(AUC).Results LASSO regression analysis screened 19 variables for inclusion in the model,such as age,waist circumference,diastolic blood pressure,BMI,HDL-C,fasting blood glucose(FBG),etc.The accuracy rate was 0.701,the sensitivity was 0.703,the specificity was 0.680,and the F1 score was 0.806.The AUC(95%CI)was 0.770(0.748-0.792).The results of the random forest model show that variables such as creatinine,triglyceride-glucose index(TyG),TG,BMI,TC,Urea nitrogen(Urea),and ALT were relatively important,with an accuracy rate of 0.663,a sensitivity of 0.653,a specificity of 0.738,and an F1 score of 0.774.The AUC(95%CI)was 0.763(0.741-0.785).Multivariate logistic re-gression results showed that 11 variables including creatinine(Cr),TyG,BMI,Urea,and ALT were included in the model,with an accuracy rate of 0.705,a sensitivity of 0.707,a specificity of 0.686,an F1 score of 0.809,and an AUC(95%CI)of 0.771(0.749-0.793).Conclusion The overall performance of LASSO re-gression and multivariate logistic regression models is better.The random forest model has a strong variable screening ability and high specificity,and can be used as a supplement to provide more accurate predictions.

Gender recognition based on the analysis of fingerprint residue can assist investigators in narrowing down the scope of investigation and play an important role in the field of criminal investigation.This study established a quantitative analysis method for lipid substances in fingerprints based on gas chromatography-mass spectrometry(GC-MS).Fatty acids in fingerprints were methylated using sulfuric acid methanol derivatization reagent(7%,V/V),the extraction reagent was dichloromethane-methanol(1∶1,V/V)solution,the reaction temperature was 70℃and the heating time was 45 min.Quantitative analysis of the relative content of 23 kinds of fatty acids and squalene in fingerprints residue by different genders was conducted,and orthogonal partial least squares-discriminant analysis(OPLS-DA)was used to reduce the dimensionality of the quantitative results.A total of 13 kinds of components in the fingerprints were selected to maximize the difference in relative content between male and female fingerprints.Three machine learning models,including binary logistic regression(BLR),support vector machine(SVM)and random forest(RF),were further used as feature variables to classify the gender of fingerprints.The classification performance of each model was compared through five indicators,and it was found that the most suitable model for binary classification of fingerprint gender was SVM model.The results showed that the SVM fingerprint residual gender binary classification model established based on the relative content data of 13 kinds of lipid substances in fingerprints achieved a classification accuracy of 90%and an area under the receiver operating characteristic curve(AUC)value of 0.98.This study provided a new research method for detecting lipid components in fingerprints and a methodological basis for gender recognition of fingerprints.

The theory of "origin essence-origin qi-origin spirit" is rooted in the theory of "essence-qi-spirit", which explains that origin essence, origin qi, origin spirit as the important material foundation, energy power and regulation center in the process of growth and development of the organism, are mutual and complementary to each other, and operate orderly under the guidance of the ministerial fire. Tumor is essentially an abnormal disorder of the growth and development process of the organism, and its occurrence and development are directly related to the mutation of origin essence and the alienation of ministerial fire, and closely related to the attenuation of origin qi, the departure of ministerial fire, and the inefficiency of origin spirit, and the delusional movement of ministerial fire. Based on the theory of "origin essence-origin qi-origin spirit", the tumor can be treated in the clinic by regulating the ministerial fire suppressing origin essence to inhibit the tumor development, strengthening the spleen and benefiting the qi to slow down the attenuation of origin qi, and nourishing the heart and cultivating the mind to stabilize the power of origin spirit in order to further improve the understanding of TCM on the etiology of tumors, and at the same time, to provide a new direction and ideas for the clinical treatment of tumors.

ObjectiveTo construct a group-based trajectory model (GBTM) for early medication adherence check-in, and to analyze the relationship between different trajectories and treatment outcomes in tuberculosis patients using data that were generated from smart tools for monitoring their medication adherence and check-in. MethodsFrom October 1, 2022 to September 30, 2023, a total of 163 pulmonary tuberculosis patients diagnosed in Fengxian District were selected as the study subjects. The GBTM was utilized to analyze the weekly active check-in trajectories of the subjects during the first 4 weeks and establish different trajectory groups. The χ² tests were employed to compare the differences between groups and logistic regression analysis was conducted to explore the relationship between different trajectory groups and treatment outcomes. ResultsA total of four groups were generated by GBTM analyses, of which a low level of punch card was maintained in group A, 6% of the drug users increased rapidly from a low level in group B, 17% of drug users increased gradually from a low level in group C, and 18% of drug users maintained a high level of punch card in group D. The trajectory group was divided into two groups according to homogeneity, namely the low level medication punch card group (group A) and the high level medication punch card group (group B, group C, and group D). The results of multivariate logistic regression analyses revealed that low-level medication check-in (OR=3.250, 95%CI: 1.089‒9.696), increasing age (OR=1.030, 95%CI: 1.004‒1.056), and not undergoing sputum examination at the end of the fifth month (OR=2.746, 95%CI: 1.090‒7.009) were significantly associated with poor treatment outcomes. ConclusionThe medication check-in trajectory of pulmonary tuberculosis patients within the first 4 weeks is correlated with adverse outcomes, or namely consistent low-level medication adherence check-ins are associated with poor treatment outcomes, while high-level medication adherence check-ins are associated with a lower incidence of adverse outcomes.

Background Although current evidence suggests a link between outdoor air pollution and depressive symptoms, the effect of solid fuel use (a significant indoor air pollutant) on depressive symptoms in China's rural middle-aged and elderly population remains poorly understood. Objective To explore the association between solid fuel use for cooking and depressive symptoms among middle-aged and elderly people in rural areas of China, and to provide a basis for the prevention and control of depressive symptoms among residents in rural areas. Methods Data were obtained from the 2020 China Family Panel Studies (CFPS), depressive symptoms were assessed using 8-item Center for Epidemiologic Studies Depression Scale (CES-D), and cooking fuel type was self-reported. Subsequently, two-level binary unconditional logistic regression models were fitted to assess the impact of solid fuel use for cooking on depressive symptoms. Results A total of 7991 participants aged 45 years and older [mean age (58.52±9.18) years] were included in the study, with a mean CES-D score of 6.07±4.48 and a mean positive depressive symptoms rate of 34% (40.54% in the solid fuel group and 30.81% in the clean fuel group, χ²=74.40, P<0.001). After controlling for potential confounding covariates, rural middle-aged and elderly residents in the solid fuel group had a higher risk of reporting depressive symptoms than those in the clean fuel group (OR=1.36, 95%CI: 1.20-1.54), an association that was unaffected by participant characteristics and was positive across age and gender groups. Conclusion There is a positive association between solid fuel use for cooking and depressive symptoms in middle-aged and elderly people in rural areas of China. It is recommended that rural areas promote the upgrading of stoves through the installation of ventilation equipment or the switch from solid cooking fuel to clean fuel. This approach is directed toward reducing exposure to household air pollution, alleviating the prevalence of depression among middle-aged and elderly residents in vast rural areas, and enhancing their mental health.