Objective: To evaluate the efficacy of a short video based health education model in enhancing e-cigarette awareness among junior high school students, so as to provide empirical evidence for optimizing school based health education in the digital era. Methods: In December 2024, a cluster sampling method was applied to recruit 465 eighth grade students from a middle school in Kunming for a survey. The intervention was implemented through playing short videos produced by the research team in the classroom, and a self designed adolescent e-cigarette questionnaire was used to conduct assessments before and after intervention, along with qualitative interviews with 60 teachers and students by purposive sampling. Pre and post intervention outcomes were compared by using paired t-test and Chi-square test. Qualitative data underwent a three stage coding process of "open, axial, and selective coding" to construct an explanatory framework. Results: Quantitative analysis showed significant post intervention increases in both baseline awareness scores（92.1±6.6）and deep awareness scores (70.0±17.6) compared with pre intervention( 78.2± 14.0，46.1±20.5)( t =23.54，26.72，both P <0.05), both meeting the criteria for large effect sizes (Cohen s d =1.09, 1.24). The improvement in deep awareness was particularly pronounced, specifically regarding addictive ingredients, illicit additives(tiletamine,metomidate,etomidate), and misconceptions about smoking cessation efficacy ( χ 2=150.54,113.27,117.40,112.92, 69.93 , all P <0.01). Qualitative insights revealed that narrative transportation and visual enhancement were the core mechanisms of efficacy: 87.3% of students preferred contextualized narratives, 85.5% of students decoded cognitive bottlenecks more effectively because of visual enhancement, and 72.7% relied on short videos for micro learning. Conclusion Short video based health education can effectively enhance e-cigarette awareness among junior high school students, offering a pragmatically viable digital pathway for school based health education.

Objective To construct a classification model for the Los Angeles grading of endoscopic reflux esophagitis based on the SimCLR algorithm's semi-supervised learning framework.Methods The designed learning framework was pre-trained on a large unlabeled dataset through self-supervised learning,and further finely tuned on a small labeled dataset according to the Los Angeles grading criteria.The performance test on the model was conducted on an independent dataset,and the proposed model was compared with the models of supervised learning algorithms and endoscopists in terms of accuracy,Matthews correlation coefficient,and Cohen's kappa value.Finally,Grad-CAM and t-SNE were used for the visualization of the model's interpretation.Results The SimCLR model with ResNet as the backbone network showed superior performance in accuracy(0.840),Matthews correlation coefficient(0.800),and Cohen's kappa value(0.960)than the traditional supervised learning model with ResNet as the backbone(0.680,0.601,and 0.870)as well as junior endoscopists(0.770,0.713,and 0.940),but there was still a slight gap compared with senior endoscopists(0.850,0.813,and 0.960).In addition,the results of t-SNE showed that self-supervised learning in SimCLR was more effective in clustering multi-dimensional samples than traditional supervised transfer learning.Conclusion Compared with traditional supervised learning methods,semi-supervised learning demonstrates outstanding performance even with only a small number of labeled endoscopic images.

Purpose To explore the expression level of let-7b-5p in glioma and its effects and potential mecha-nisms on U251 cell growth.Methods The expression of let-7b-5p in glioma was detected using qRT-PCR.Data from the CGGA database were analyzed to examine the relationship between the let-7b-5p expression levels,WHO grade and overall survival rates of glioma patients.Transient transfection was used to downregulate the expression of let-7b-5p and IGF1R in U251 cells.The role and potential mechanism of let-7b-5p in the U251 cell were evaluated using qRT-PCR,CCK8 assays,clone formation assays,Western blotting,and double luciferase reporter assays.Results The expres-sion of let-7b-5p in glioma cells(A172:3.64±0.64,V251:4.56±0.52,U87-MG:3.31±0.50)and tissues(2.18±0.22)was significantly higher than that in astrocytes(HMC3:1.00±0.21,P＜0.05 or P＜0.01)and nor-mal brain tissues(1.01±0.19,P＜0.05).Let-7b-5p expression was negatively correlated with WHO grades but pos-itively correlated with survival rates in primary and recurrent glioma patients(P＜0.000 1 and P=0.028,respective-ly).Knockdown of let-7b-5p in U251 cells significantly promoted the growth of glioma cells(CCK8:knockdown group 126.00±12.09 vs miR-NC group 90.93±5.13,P＜0.05)and activated PI3K/AKT signal pathway.Suppressing IGF1R expression in U251 cells reversed the effects of let-7b-5p knockdown on glioma cell growth[CCK8:let-7b-5p knockdown+IGF1R knockdown group(92.08±6.14)vs let-7b-5p knockdown+sh-NC group(116.67.08±8.50)]and PI3K/AKT signal pathway activation.Conclusion Let-7b-5p functions as a tumor suppressor gene in glioma.It may regulate glioma cell growth by targeting IGF1R and modulating PI3K/AKT signal pathway.

Objective:To separate and purify the polysaccharides from Polygonatum filipes,characterize their primary structure and investigate the immunomodulatory effects on RAW264.7 macrophages.Methods:Crude polysaccharides from Polygonatum filipes were extracted by ultrasound assisted method,then Polygonatum filipes polysaccharides(CSPFPs)were obtained after elimination of the proteins with combined papain-Sevag method.The total sugar content was determined by phenol-sulfuric acid method.Structures of CSPFPs were analyzed by fourier transform infrared spectroscopy(FT-IR),high performance gel permeation chromatography(HPGPC)and high performance liquid chromatography(HPLC).Effects of CSPFPs on cell viability,pinocytic activity,TNF-α secretion,MAPK and NF-κB signaling pathways of RAW264.7 cells were explored by MTT,Neutral red,ELISA and Western blot,respectively.Results:Extraction rate of CSPFPs by ultrasound-assisted method was 41.61%,which contained total sugar content of 94.00%.CSPFPs with Mw of 3 125 Da was composed of arabinose(1.85%),galactose(6.14%),glucose(56.41%)and mannose(35.60%).The in vitro experiments showed that CSPFPs were non-cytotoxic and enhanced the pinocytic activity,TNF-α secretion and phosphorylation levels of p38,ERK,JNK,p65,IκB and IKK,indicating the activation of MAPK and NF-κB signaling pathways under the concentra-tion of 2.5～200 μg/ml.Conclusion:The ultrasound-assisted method can efficiently isolate CSPFPs with immunomodulatory activity,which provides basic data for the development and application of CSPFPs as an immunostimulant.

Objective To explore the effects of commonly used rapid imaging techniques on the image quality of cerebral three-dimensional time-of-flight magnetic resonance angiography(3D-TOF-MRA)and to select the optimal imaging technique for clinical use.Methods Thirty subjects were prospectively recruited,and five sets of 3D-TOF-MRA images were acquired as follows:non-acceleration(reference group),intra-layer parallel imaging(PI)(1D group),inter-layer PI(2D group),compressed sensing(CS)group,and artificial intelligence-assisted compressive sensing(ACS)group.The metrics including clarity,pseudo-stenosis,signal-to-noise ratio(SNR),contrast-to-noise ratio(CNR),and edge sharpness of the intracranial proximal,middle,and distal blood vessels were quantitatively or qualitatively assessed.Results There were no significant differences in the clarity of intracranial proximal and middle blood vessels between the groups(P＞0.05).The clarity of distal blood vessels in the ACS group was superior to that in the other groups,and the CS and 2D groups were superior to the 1D group.Compared to the reference group,no stenosis was observed in any segment of the blood vessels in the ACS group,while the incidence of stenosis in the distal blood vessels of the 1D,2D,and CS groups was 36.67％,13.33％,and 6.67％,respectively.The SNR of the proximal and middle blood vessels in the ACS group did not differ from the reference group,and the SNR of the proximal,middle,and distal segments was higher than that in the 1D and CS groups,and higher than the 2D group for the proximal and distal segments.The CNR of the proximal,middle,and distal segments in the ACS group did not differ from the reference group,and was higher than that of the 1D and CS groups,and higher than the 2D group for the proximal and distal segments.The edge sharpness of the ACS group was significantly higher than that of the other groups.Conclusion ACS technology can accelerate the imaging speed and improve the image quality of cerebral 3D-TOF-MRA.It is recommended for use.

Objective To explore the effects of commonly used rapid imaging techniques on the image quality of cerebral three-dimensional time-of-flight magnetic resonance angiography(3D-TOF-MRA)and to select the optimal imaging technique for clinical use.Methods Thirty subjects were prospectively recruited,and five sets of 3D-TOF-MRA images were acquired as follows:non-acceleration(reference group),intra-layer parallel imaging(PI)(1D group),inter-layer PI(2D group),compressed sensing(CS)group,and artificial intelligence-assisted compressive sensing(ACS)group.The metrics including clarity,pseudo-stenosis,signal-to-noise ratio(SNR),contrast-to-noise ratio(CNR),and edge sharpness of the intracranial proximal,middle,and distal blood vessels were quantitatively or qualitatively assessed.Results There were no significant differences in the clarity of intracranial proximal and middle blood vessels between the groups(P＞0.05).The clarity of distal blood vessels in the ACS group was superior to that in the other groups,and the CS and 2D groups were superior to the 1D group.Compared to the reference group,no stenosis was observed in any segment of the blood vessels in the ACS group,while the incidence of stenosis in the distal blood vessels of the 1D,2D,and CS groups was 36.67％,13.33％,and 6.67％,respectively.The SNR of the proximal and middle blood vessels in the ACS group did not differ from the reference group,and the SNR of the proximal,middle,and distal segments was higher than that in the 1D and CS groups,and higher than the 2D group for the proximal and distal segments.The CNR of the proximal,middle,and distal segments in the ACS group did not differ from the reference group,and was higher than that of the 1D and CS groups,and higher than the 2D group for the proximal and distal segments.The edge sharpness of the ACS group was significantly higher than that of the other groups.Conclusion ACS technology can accelerate the imaging speed and improve the image quality of cerebral 3D-TOF-MRA.It is recommended for use.

Objective To investigate the value of CT radiomics for predicting effect of neoadjuvant chemotherapy(NACT)for locally advanced gastric cancer(LAGC).Methods Totally 325 LAGC patients who received NACT were retrospectively enrolled,among them 247 were taken as training set,while the rest 78 were taken as validation set.Tumor regression scale(TRG)was evaluated according to postoperation pathology after NACT,and the efficacy of NACT was evaluated.Univariate logistic regression was used to analyze and screen clinical predictors of effect of NACT,and clinical model was constructed.Radiomics features were extracted based on venous phase enhanced CT pre-and post-NACT,and Delta radiomics features(i.e.the ratio of the difference of pre-and post-NACT radiomics features and pre-NACT radiomics features)were calculated.The best features were screened based on pre-NACT,post-NACT and Delta radiomics features to construct radiomics labels,the optimal label was screened and used to construct combined model through combining clinical model.Receiver operating characteristic(ROC)curve was plotted,and the area under the curve(AUC)was calculated to evaluate predicting efficiency of the above models.Decision curve analysis(DCA)was performed to explore the clinical value of each model.Results In training set,significant effect was found in 67 cases,but not in 180 cases,while in validation set,significant effect was found in 18 cases but not in 60 cases.Borrmann classification of LAGC before NACT was the clinical predictor(P=0.031),and clinical model was constructed,which had AUC of 0.577 and 0.520 in training and validation sets,respectively.Based on pre-NACT,post-NACT and Delta radiomics features,19,14 and 17 best features were selected,and AUC of the established radiomics labels of Pre-Rad,Post-Rad and Delta-Rad in training set was 0.672,0.796 and 0.789,while in validation set was 0.558,0.805 and 0.666,respectively.Post-Rad was the optimal label,which was used to construct combined model.AUC of the obtained combined model in training and validation sets was 0.824 and 0.818,respectively,both higher than that of clinical model(both P＜0.001)but not different with that of Post-Rad(both P＞0.05).Taken 0.4 to 0.7 as the threshold,the combined model had higher clinical net benefit than the other two.Conclusion Venous CT radiomics could effectively predict effect of NACT for LAGC.Combining with clinical features could improve its predictive efficacy.

Objective To construct a classification model for the Los Angeles grading of endoscopic reflux esophagitis based on the SimCLR algorithm's semi-supervised learning framework.Methods The designed learning framework was pre-trained on a large unlabeled dataset through self-supervised learning,and further finely tuned on a small labeled dataset according to the Los Angeles grading criteria.The performance test on the model was conducted on an independent dataset,and the proposed model was compared with the models of supervised learning algorithms and endoscopists in terms of accuracy,Matthews correlation coefficient,and Cohen's kappa value.Finally,Grad-CAM and t-SNE were used for the visualization of the model's interpretation.Results The SimCLR model with ResNet as the backbone network showed superior performance in accuracy(0.840),Matthews correlation coefficient(0.800),and Cohen's kappa value(0.960)than the traditional supervised learning model with ResNet as the backbone(0.680,0.601,and 0.870)as well as junior endoscopists(0.770,0.713,and 0.940),but there was still a slight gap compared with senior endoscopists(0.850,0.813,and 0.960).In addition,the results of t-SNE showed that self-supervised learning in SimCLR was more effective in clustering multi-dimensional samples than traditional supervised transfer learning.Conclusion Compared with traditional supervised learning methods,semi-supervised learning demonstrates outstanding performance even with only a small number of labeled endoscopic images.

Purpose To explore the expression level of let-7b-5p in glioma and its effects and potential mecha-nisms on U251 cell growth.Methods The expression of let-7b-5p in glioma was detected using qRT-PCR.Data from the CGGA database were analyzed to examine the relationship between the let-7b-5p expression levels,WHO grade and overall survival rates of glioma patients.Transient transfection was used to downregulate the expression of let-7b-5p and IGF1R in U251 cells.The role and potential mechanism of let-7b-5p in the U251 cell were evaluated using qRT-PCR,CCK8 assays,clone formation assays,Western blotting,and double luciferase reporter assays.Results The expres-sion of let-7b-5p in glioma cells(A172:3.64±0.64,V251:4.56±0.52,U87-MG:3.31±0.50)and tissues(2.18±0.22)was significantly higher than that in astrocytes(HMC3:1.00±0.21,P＜0.05 or P＜0.01)and nor-mal brain tissues(1.01±0.19,P＜0.05).Let-7b-5p expression was negatively correlated with WHO grades but pos-itively correlated with survival rates in primary and recurrent glioma patients(P＜0.000 1 and P=0.028,respective-ly).Knockdown of let-7b-5p in U251 cells significantly promoted the growth of glioma cells(CCK8:knockdown group 126.00±12.09 vs miR-NC group 90.93±5.13,P＜0.05)and activated PI3K/AKT signal pathway.Suppressing IGF1R expression in U251 cells reversed the effects of let-7b-5p knockdown on glioma cell growth[CCK8:let-7b-5p knockdown+IGF1R knockdown group(92.08±6.14)vs let-7b-5p knockdown+sh-NC group(116.67.08±8.50)]and PI3K/AKT signal pathway activation.Conclusion Let-7b-5p functions as a tumor suppressor gene in glioma.It may regulate glioma cell growth by targeting IGF1R and modulating PI3K/AKT signal pathway.

Objective To investigate the effect of lidocaine medicated plaster （LMP） combined with pregabalin （PGB） on patients with postherpetic neuralgia （PHN）, and the impact on serum pain mediators. Methods 108 PHN patients admitted in our hospital from January 2024 to December 2024 were selected and grouped according to the time point of receiving treatment, 54 PHN patients treated with PGB from January 2024 to June 2024 were included in the PGB group, and 54 PHN patients treated with LMP on top of the PGB group from July 2024 to December 2024 were included in the PGB+LMP group. Comparisons were made between the two groups in terms of pain score, serum pain mediator levels, dosage of PGB, and incidence of adverse reactions. Results After 4 weeks of treatment, both groups showed a decrease in Pain Rating Index scores （sensory score and affective score）, Present Pain Intensity score, Visual Analog Scale score, and total score. Meanwhile, above scores of the PGB+LMP group were lower than those of the PGB group （P<0.05）. After 4 weeks of treatment, the levels of substance P（SP） and neuropeptide Y （NPY） in both groups were lower than those before treatment, while serum 5-hydroxytryptamine （5-HT） levels were higher than those before treatment. Moreover, the levels of SP and NPY were lower, and 5-HT level was higher in the PGB+LMP group than in the PGB group （P<0.05）. The dosages of PGB in the PGB+LMP group at T1, T, T3 and T4 were significantly lower than those in the PGB group （P<0.05）. The incidence of adverse reactions was 1.85%（1/54） in the PGB+LMP group. Compared to 5.56%（3/54） in the PGB group, and the difference was not statistically significant （P>0.05）. Conclusion LMP combined with PGB was effective in the treatment of patients with PHN, which could effectively alleviate pain and lower the levels of serum pain mediators, with good safety.