Objective: To evaluate the current situation of thermal environment in primary and secondary school classrooms during winter, and to analyze students thermal comfort needs, so as to provide a basis for improving classroom thermal environment. Methods: From December 16 to 26, 2024, a stratified cluster random sampling method was used to select 90 classrooms from 15 primary and secondary schools in centralized/air conditioned heating areas(Liaoning Province, Tianjin City, Shanghai City) and naturally ventilated areas(Anhui Province and Jiangxi Province)for on site environmental measurement. A questionnaire survey was conducted among 743 students. The differences between groups using the χ 2 test were compared. Based on actual measurement data, a predicted mean vote prepared percentage of dissatisfied (PMV-PPD) model for centralized/air conditioned classrooms and an adaptive model for naturally ventilated classrooms were established, and the thermal neutral temperature and comfort interval were calculated. Results: The average outdoor temperature during on site measurement was 4.00(0.20，7.00)℃. In classrooms with centralized or air conditioned heating systems, the measured average temperature was (19.33±2.59)℃, with a thermal comfort range of 20.35-25.35 ℃ and a thermal neutral temperature of 22.85 ℃. And 13.92% of students reported feeling cold, while 80.80% felt comfortable. In classrooms with natural ventilation, the measured average temperature was (12.26±1.83)℃, with a thermal neutral temperature of 19.67 ℃ and a thermal comfort range of 16.17-23.17 ℃. About 48.33% of students reported feeling cold, and 49.81 % felt comfortable.The results of univariate analysis showed that there were statistically significant differences in shoe thickness, temperature sensation, relative humidity sensation and wind speed sensation between centralized/air conditioned heating areas ( χ 2= 7.01 , 31.47, 13.57, 13.80,all P <0.05). There were also statistically significant differences in school stage for primary and secondary school students, body mass index, classroom location for seat, temperature sensation, relative humidity sensation and wind speed sensation between naturally ventilated areas ( χ 2=42.13, 11.13, 11.04, 60.39, 29.27, 38.46,all P <0.05). Conclusions There are differences in thermal environment and students subjective thermal comfort in primary and secondary schools under different ventilation modes in winter. The temperature standards for heated classrooms should be revised, and differentiated environmental regulation strategies should be adopted based on different ventilation methods to improve students health and comfort levels.

ObjectiveTo observe the effect of functional pelvic floor muscle training on pelvic floor muscle function, incontinence symptoms and quality of life in female patients with stress urinary incontinence (SUI). MethodsFrom February, 2024 to July, 2025, 40 female patients with SUI were recruited from Beijing Bo'ai Hospital and advertisements. They were randomly divided into control group (n = 20) and experimental group (n = 20). The control group received conventional pelvic floor muscle contraction and relaxation training, and the experimental group received functional pelvic floor muscle contraction and relaxation training, for eight weeks. The data of pelvic floor muscle strength, pelvic floor muscle surface electromyography (sEMG), 1-hour urine pad test and Incontinence Quality of Life questionnaire (I-QOL) were collected before and after training. The compliance rate was counted after training. ResultsOne case dropped down in the control group and three cases dropped down in the experimental group. After treatment, the pelvic floor muscle strength increased in both groups (|Z| > 3.317, P < 0.01), the pre-resting average value, sustained contraction average value and durable contraction average value of sEMG improved in the control group (|t| > 2.731, P < 0.05), the mass of 1-hour urine pad significantly reduced (t > 9.215, P < 0.001) and the I-QOL score significantly increased (|t| > 13.229, P < 0.001) in both groups; compared with the control group, the pelvic floor muscle strength significantly increased (Z = -2.281, P = 0.023), the mass of 1-hour urine pad significantly reduced (t = 4.215, P < 0.001), the I-QOL score significantly increased (t = -4.501, P < 0.001), and the compliance rate significantly increased (Z = -2.798, P < 0.01) in the experimental group . ConclusionFunctional pelvic floor muscle training can significantly improve pelvic floor muscle strength, incontinence symptoms and quality of life in female patients with SUI.

Objective To establish an analytical strategy covering multi-dataset processing, recursive feature elimination (RFE) screening and multi-model evaluation based on multiple machine learning algorithms, so as to screen radiation-sensitive genes and verify the feasibility of the evaluation strategy. Methods Qualified radiation transcriptome datasets were retrieved from public gene expression databases. Following standardized data preprocessing and feature preselection, 13 machine learning algorithms were adopted to construct models. The performance of each model was compared and validated in independent datasets. Results A total of 38 eligible datasets were included. Sixteen differentially expressed genes unreported in existing literature were screened out, among which ugcrhl, pdcl3, mct4, h2-g2 and fam120aos were correlated with radiation phenotypes. Ensemble learning algorithms including random forest and gradient boosting exhibited the optimal comprehensive performance. Independent dataset verification confirmed that the screened genes overlapped with known radiation-sensitive genes, and the model performance was consistent with the findings. Conclusion The machine learning strategy constructed in this study can effectively explore potential radiation-sensitive genes, and provides methodological support for subsequent relevant studies.

Objective To establish an analytical strategy covering multi-dataset processing, recursive feature elimination (RFE) screening and multi-model evaluation based on multiple machine learning algorithms, so as to screen radiation-sensitive genes and verify the feasibility of the evaluation strategy. Methods Qualified radiation transcriptome datasets were retrieved from public gene expression databases. Following standardized data preprocessing and feature preselection, 13 machine learning algorithms were adopted to construct models. The performance of each model was compared and validated in independent datasets. Results A total of 38 eligible datasets were included. Sixteen differentially expressed genes unreported in existing literature were screened out, among which ugcrhl, pdcl3, mct4, h2-g2 and fam120aos were correlated with radiation phenotypes. Ensemble learning algorithms including random forest and gradient boosting exhibited the optimal comprehensive performance. Independent dataset verification confirmed that the screened genes overlapped with known radiation-sensitive genes, and the model performance was consistent with the findings. Conclusion The machine learning strategy constructed in this study can effectively explore potential radiation-sensitive genes, and provides methodological support for subsequent relevant studies.

Objective To establish an analytical strategy covering multi-dataset processing, recursive feature elimination (RFE) screening and multi-model evaluation based on multiple machine learning algorithms, so as to screen radiation-sensitive genes and verify the feasibility of the evaluation strategy. Methods Qualified radiation transcriptome datasets were retrieved from public gene expression databases. Following standardized data preprocessing and feature preselection, 13 machine learning algorithms were adopted to construct models. The performance of each model was compared and validated in independent datasets. Results A total of 38 eligible datasets were included. Sixteen differentially expressed genes unreported in existing literature were screened out, among which ugcrhl, pdcl3, mct4, h2-g2 and fam120aos were correlated with radiation phenotypes. Ensemble learning algorithms including random forest and gradient boosting exhibited the optimal comprehensive performance. Independent dataset verification confirmed that the screened genes overlapped with known radiation-sensitive genes, and the model performance was consistent with the findings. Conclusion The machine learning strategy constructed in this study can effectively explore potential radiation-sensitive genes, and provides methodological support for subsequent relevant studies.

Traditional Chinese medicine （TCM） therapy has unique clinical advantages in the treatment of atrial fibrillation， mainly reflected in five aspects， improving quality of life， enabling early diagnosis and treatment， promoting cardiac rehabilitation， making up for the limitations of Western medicine， and improving the success rate of catheter ablation. However， there is insufficient evidence in current clinical research. Based on the current status of TCM research in the treatment of atrial fibrillation， it is suggested that future studies should focus on standardized research on syndrome differentiation and classification. This can be achieved through clinical epidemiological surveys， expert consensus， and other methods to establish a unified syndrome differentiation and classification standard for atrial fibrillation. Clinical efficacy evaluation indicators should be standardized， and core outcome measures for clinical research on TCM treatment of atrial fibrillation should be developed through systematic reviews， patient interviews， and other methods. Additionally， clinical research design， implementation， and data management should be improved. By leveraging modern information technologies such as artificial intelligence， the scientific and standardized nature of TCM intervention research on atrial fibrillation can be enhanced， ultimately improving the quality of research.

Objective To explore the relationship between minimal residual disease(MRD)on the 19th day(D19)and prognosis of children with acute B-lymphoblastic leukemia(B-ALL),as well as the correlation with related biological changes.Methods A total of 88 children with B-ALL newly diagnosed in this hospital from April 2016 to April 2020 who met the enrollment conditions were analyzed for induction therapy D19 MRD,overall survival(OS)rate,event-free survival(EFS)rate,chromosome karyotype,fusion gene and mu-tation gene.MRD≥ 0.01％was considered positive,and they were divided into MRD positive group and MRD negative group.The characteristics of OS rate,EFS rate,immunophenotype and molecular biology/cytogenet-ics were compared between the two groups over a period of 3 years.Results The 3-year OS rate and EFS rate of 88 pediatric patients were 92.0％and 86.4％,respectively.The rates of OS rate and EFS rate in MRD posi-tive group were lower than those in MRD negative group,with statistical significance(P＜0.05).The detec-tion rate of CD10 in MRD positive group was lower than that in MRD negative group,and the difference was statistically significant(P＜0.05).Thirty-two patients(36.4％)detected 8 types of 35 fusion genes.The de-tection rates of BCR-ABL1 and E2A-PBX1 in MRD positive group were higher than those in MRD negative group,and the differences were statistically significant(P＜0.05).Among 48 cases(54.5％)of pediatric pa-tients,41 types of 91 mutated genes were detected,and the remaining mutated genes were less than 5 cases.Abnormal karyotype was detected in 18 cases(20.5％),and no mitotic phase was detected in 17 cases.There was no difference in MRD between normal and abnormal karyotype.Binary Logistic regression analysis showed that BCR-ABL1 and E2A-PBX1 were prognostic factors of children with B-ALL.Conclusion The positive D19 MRD is the influential factor of adverse OS and EFS in children with B-ALL.Both E2A-PBX1 and BCR-ABL1 have adverse effects on the prognosis of children with B-ALL.

Objective:To investigate the impact of Wenyang Ligong Decoction on pregnancy outcomes after transcervical resection of adhesions (TCRA) in patients with intrauterine adhesions (IUA).Methods:A retrospective cohort study was conducted to collect clinical data from 151 patients with IUA who underwent TCRA in the Reproductive Medicine Department of the First Affiliated Hospital of Tianjin University of Traditional Chinese Medicine between January 2020 and January 2023. Patients were divided into a Traditional Chinese medicine (TCM) group (79 patients) and a control group (72 patients) based on whether they received Wenyang Ligong Decoction after TCRA. The TCM group received estrogen and progesterone sequential therapy post-surgery, combined with Wenyang Ligong Decoction for 2-3 menstrual cycles. The control only received sequential treatment with estrogen and progesterone.Pregnancy outcomes one year after surgery were compared between the two groups. After adjusting for confounding factors using multivariate Cox regression analysis, the effect of Wenyang Ligong Decoction on pregnancy outcomes after TCRA in patients with IUA was observed.Results:The live birth rate [54.43%　(43/79)], the ongoing pregnancy rate [56.96% (45/79)], and the clinical pregnancy rate [52.03% (49/79)] were higher in the TCM group than in the control [26.39% (19/72), P<0.001; 30.56% (22/72), P=0.001;37.50% (27/72), P=0.003], with statistically significant differences. There were no statistically significant differences in early abortion rate and late abortion rate between the TCM group and the control (all P>0.05). According to the stratified analysis by preparation methods, in the natural conception group, the live birth rate [60.78% (31/51)], the ongoing pregnancy rate [62.75% (32/51)], and the clinical pregnancy rate [68.63% (35/51)] in the TCM group were significantly higher than those in control group [21.43% (12/56), P<0.001; 26.79% (15/56), P<0.001; 33.93% (19/56), P<0.001]; there were no statistically significant differences in early miscarriage rate and late miscarriage rate between the two groups (both P>0.05). In the assisted reproductive technology group, there were no statistically significant differences in live birth rate, ongoing pregnancy rate, clinical pregnancy rate, early miscarriage rate, and late miscarriage rate between the two groups (all P>0.05). According to the stratified analysis by age, in the <35-year-old patients, the live birth rate [66.00% (33/50)], the ongoing pregnancy rate [70.00% (35/50)], and the clinical pregnancy rate [74.00% (37/50)] in the TCM group were significantly higher than those in control group [41.30% (19/46), P=0.015; 47.83% (22/46), P=0.027; 54.35% (25/46), P=0.044]; there were no statistically significant differences in early miscarriage rate and late miscarriage rate between the two groups (both P>0.05). In the ≥35-year-old patients, the live birth rate [34.48% (10/29)], the ongoing pregnancy rate [34.48% (10/29)], and the clinical pregnancy rate [41.38% (12/29)] in the TCM group were significantly higher than those in control group [0%, P=0.001; 0%, P=0.001; 7.69% (2/26), P=0.004]; there were no statistically significant differences in early miscarriage rate and late miscarriage rate between the two groups (both P>0.05).Univariate Cox regression analysis showed that age, number of previous uterine cavity interventions, IUA score, degree of IUA, and endometrial thickness after TCRA were independent risk factors for live births, and age, IUA score, degree of IUA, intima thickness after TCRA, and treatment group were the influencing factors of persistent pregnancy (all P<0.05). After adjusting for confounding factors, multivariate Cox regression analysis showed that Wenyang Ligong Decoction significantly improved the live birth rate ( HR=3.19, 95% CI: 1.77-8.11, P=0.001) and the rate of continuous pregnancy ( HR=3.66, 95% CI: 1.80-7.48, P<0.001) in patients with IUA. Conclusion:Wenyang Ligong Decoction can significantly improve pregnancy outcomes after TCRA in patients with IUA.

Poly(lactic-co-glycolide)(PLGA)is a key excipient in long-acting sustained-release preparations,and its degradation properties directly affect the drug release behavior.In this study,PLGA microspheres were prepared by microfluidic techniques,and the morphology changes of the microspheres were observed by scanning electron microscopy(SEM).In alkaline environment,due to the accelerated hydrolysis of ester bonds,the surface of the microspheres was rapidly dissolved and eroded,and the degradation rate was significantly higher than that in acidic environment.High temperature accelerated the degradation of PLGA microspheres.Under neutral and alkaline conditions,the microspheres showed aggregation and adhesion.Under acidic conditions,the microspheres gradually decomposed into irregular fragments.The high ionic strength further promoted the surface corrosion of the microspheres,especially under extreme pH conditions.Simultaneously,PLGA microspheres encapsulating coumarin were prepared to simulate the microsphere formulation.The release rate of coumarin after degradation of the microspheres under different conditions was observed by measuring the absorbance with ultraviolet-visible spectrophotometry.The results were consistent with those of the blank microspheres.This study revealed that the degradation of PLGA microspheres was significantly pH-dependent,temperature sensitive and ion strength responsive.These findings not only helped to understand and optimize the long-term stability and controlled release performance of drug-carrying microspheres,but also provided a theoretical basis for further improvement of PLGA-based drug carrier design.

PURPOSE: To methodically assess the effectiveness of augmentative plating (AP) and exchange nailing (EN) in managing nonunion following intramedullary nailing for long bone fractures of the lower extremity. METHODS: PubMed, EMBASE, Web of Science, and the Cochrane Library were searched to gather clinical studies regarding the use of AP and EN techniques in the treatment of nonunion following intramedullary nailing of lower extremity long bones. The search was conducted up until May 2023. The original studies underwent an independent assessment of their quality, a process conducted utilizing the Newcastle-Ottawa scale. Data were retrieved from these studies, and meta-analysis was executed utilizing Review Manager 5.3. RESULTS: This meta-analysis included 8 studies involving 661 participants, with 305 in the AP group and 356 in the EN group. The results of the meta-analysis demonstrated that the AP group exhibited a higher rate of union (odds ratio: 8.61, 95% confidence intervals (CI): 4.12 - 17.99, p < 0.001), shorter union time (standardized mean difference (SMD): -1.08, 95% CI: -1.79 - -0.37, p = 0.003), reduced duration of the surgical procedure (SMD: -0.56, 95% CI: -0.93 - -0.19, p = 0.003), less bleeding (SMD: -1.5, 95% CI: -2.81 - -0.18, p = 0.03), and a lower incidence of complications (relative risk: -0.17, 95% CI: -0.27 - -0.06, p = 0.001). In the subgroup analysis, the time for union in the AP group in nonisthmal and isthmal nonunion of lower extremity long bones was shorter compared to the EN group (nonisthmal SMD: -1.94, 95% CI: -3.28 - -0.61, p < 0.001; isthmal SMD: -1.08, 95% CI: -1.64 - -0.52, p = 0.002). CONCLUSION In the treatment of nonunion in diaphyseal fractures of the long bones in the lower extremity, the AP approach is superior to EN, both intraoperatively (with reduced duration of the surgical procedure and diminished blood loss) and postoperatively (with an elevated union rate, shorter union time, and lower incidence of complications). Specifically, in the management of nonunion of lower extremity long bones with non-isthmal and isthmal intramedullary nails, AP demonstrated shorter union time in comparison to EN.
Humans ; Bone Nails/adverse effects* ; Bone Plates/adverse effects* ; Femoral Fractures/surgery* ; Fracture Fixation, Intramedullary/methods* ; Fractures, Ununited/surgery* ; Lower Extremity/injuries*