Objective:To investigate the expression of microRNA-4262 (miR-4262) and neuregulin 1 (NRG1) in non-small cell lung cancer (NSCLC) tissues and the relationship with prognosis.Methods:A total of 102 NSCLC patients who underwent surgical resection from January 2017 to February 2021 in Tongren People's Hospital of Guizhou Province were selected. The expression levels of miR-4262 and NRG1 were detected using real-time fluorescence quantitative PCR. The expression levels of miR-4262 and NRG1 in NSCLC cancer tissues and adjacent tissues, as well as NSCLC cancer tissues with different clinicopathological characteristics were analyzed. TargetScan database was used to predict the binding sites of miR-4262 and NRG1, and Pearson correlation coefficient was used to analyze the correlation between miR-4262 and NRG1 expression in NSCLC cancer tissues. Based on the mean expression levels of miR-4262 and NRG1 in NSCLC cancer tissues, the patients were divided into high miR-4262 expression group (miR-4262≥1.52, n=54) and low miR-4262 expression group (miR-4262<1.52, n=48), high NRG1 expression group (NRG1≥0.79, n=54) and low NRG1 expression group (NRG1<0.79, n=48). Kaplan-Meier survival curves were plotted to compare the 3-year overall survival (OS) rates between groups. Cox proportional risk regression model was used to analyze the influencing factors for the prognosis of NSCLC patients. Results:The expression level of miR-4262 was significantly higher in NSCLC tumor tissues compared to adjacent tissues (1.52±0.21 vs. 1.11±0.20), while NRG1 expression level was lower (0.79±0.11 vs. 1.06±0.11), there were statistically significant differences ( t=14.22, P<0.001; t=-15.13, P<0.001). The expression of miR-4262 was negatively correlated with NRG1 in cancer tissues of NSCLC patients ( r=-0.74, P<0.001). There were statistically significant differences in the expression levels of miR-4262 and NRG1 of NSCLC patients in tumor differentiation ( t=2.80, P=0.006; t=-2.80, P=0.006), TNM stage ( F=24.36, P<0.001; F=17.66, P<0.001), and lymph node metastasis ( t=4.02, P<0.001; t=-3.98, P<0.001). At the end of the follow-up period, 57 patients survived, and 45 died, with a 3-year OS rate of 55.88%. Patients with high miR-4262 expression had a significantly lower 3-year OS rate compared to those with low miR-4262 expression (35.19% vs. 79.17%), patients with high NRG1 expression had a significantly higher 3-year OS rate than those with low NRG1 expression (77.78% vs. 31.25%), there were statistically significant differences ( χ2=22.58, P<0.001; χ2=27.26, P<0.001). Univariate analysis showed that, age ( HR=2.47, 95% CI: 1.05-5.80, P=0.038), maximum tumor diameter ( HR=3.75, 95% CI: 1.61-8.74, P=0.002), differentiation degree ( HR=3.03, 95% CI: 1.32-6.96, P=0.009), TNM stage (stage Ⅱ, HR=3.45, 95% CI: 1.10-10.83, P=0.034; stage Ⅲ, HR=6.72, 95% CI: 2.03-22.26, P=0.002), lymph node metastasis ( HR=3.00, 95% CI: 1.29-6.96, P=0.010), miR-4262 expression ( HR=3.72, 95% CI: 1.48-9.35, P=0.005), and NRG1 expression ( HR=0.30, 95% CI: 0.13-0.73, P=0.008) were all influencing factors for OS in NSCLC patients. Multivariate analysis showed that, differentiation degree ( HR=5.47, 95% CI: 1.63-18.34, P=0.006), TNM stage (stage Ⅲ, HR=5.56, 95% CI: 1.23-25.14, P=0.026), lymph node metastasis ( HR=3.72, 95% CI: 1.19-11.60, P=0.024), miR-4262 expression ( HR=8.56, 95% CI: 2.26-32.41, P=0.002), and NRG1 expression ( HR=0.26, 95% CI: 0.09-0.76, P=0.014) were all independent influencing factors for OS in NSCLC patients. Conclusions:The expression of miR-4262 is high and the expression of NRG1 is low in cancer tissues of NSCLC patients. The 3-year OS rate of patients with high miR-4262 expression is lower than that of patients with low miR-4262 expression, and the 3-year OS rate of patients with high NRG1 expression is higher than that of patients with low NRG1 expression. Differentiation degree, TNM stage, lymph node metastasis, miR-4262 and NRG1 are all independent influencing factors for the prognosis of NSCLC patients.

Objective To clarify the active ingredients and the potential molecular mechanism of Guben Qushi Huayu Prescription in treating psoriasis recurrence.Methods An ultra performance liquid chromatography-quadrupole time-of-flight mass spectrometry(UPLC-Q-TOF/MS)was applied to analyze the whole formula and the constituents absorbed into blood of Guben Qushi Huayu Prescription,and molecular docking technology was used to study the binding affinity of the constituents absorbed into blood with psoriasis-related immunomodulatory proteins such as CD69 and CD103 proteins.Results Mass spectrometry analysis identified 21 active ingredients such as paeoniflorin in Guben Qushi Huayu Prescription,including several known anti-inflammatory and immunomodulatory compounds.Analysis of the constituents absorbed into blood identified 11 ingredients,including paeoniflorin,that may affect the course of psoriasis through blood circulation.Molecular docking studies revealed that the constituents absorbed into blood,including astilbin,isoastilbin,chlorogenic acid,neochlorogenic acid,cryptochlorogenic acid,helicine,paeoniflorin,ononin,all had high binding affinities with CD69 and CD103 proteins.Conclusion This research reveals the main active ingredients of Guben Qushi Huayu Prescription and their potential mechanism for regulating the recurrence of psoriasis by mass spectrometry and molecular docking technology,contributing to providing scientific basis for further pharmacological research and clinical application.

To explore the application effectiveness of generative artificial intelligence(GAI) in the standardized training assessment of critical care medicine residents.

ObjectiveBased on modern analytical techniques and a depressed mouse model established by chronic unpredictable mild stress（CUMS）， to evaluate the quality marker（Q-Marker） and pharmacodynamic difference of Baihe Dihuangtang prepared by different processes. MethodsHigh performance liquid chromatography（HPLC） was used to establish the characteristic profiles of Baihe Dihuangtang， and determine the content of Q-Marker in the samples prepared by ancient and modern processes. Seventy C57BL/6J mice were randomly divided into the normal group， model group， fluoxetine group（3 mg·kg^-1）， low and high dose groups of ancient process（6.5， 26 g·kg^-1）， and low and high dose groups of modern process（6.5， 26 g·kg^-1）， with 10 mice in each group. Except for the normal group， CUMS was used to induce depression in mice from the other groups for 28 d. After successful modeling， administration groups were given the corresponding drugs by gavage every day， and the normal and model groups were given an equal volume of pure water by gavage for 21 consecutive days. Change in body mass of mice was recorded， tail suspension test and open field test were used to evaluate the depressive behavior of mice， and enzyme-linked immunosorbent assay（ELISA） was employed to determine the contents of tumor necrosis factor-α（TNF-α）， interleukin（IL）-1β and IL-6 in serum. ResultsCharacteristic profiles of Baihe Dihuangtang prepared by the two processes were established， the similarity between the two was 0.951， and 8 characteristic peaks were recognized with the reference peak of regaloside A. The results of quantitative analysis showed that the Q-Marker content was similar in Baihe Dihuangtang prepared by ancient and modern processes. The results of pharmacodynamics showed that， compared with the normal group， the model group showed increased immobility time in the tail suspension test， reduced total movement distance in the open field test， and elevated IL-1β， IL-6 and TNF-α levels in the serum（P<0.01）. Compared with the model group， the behavioral indicators of mice in the Baihe Dihuangtang treatment group were significantly improved in terms of tail suspension time and open field exercise， and the levels of IL-1β， IL-6 and TNF-α in serum were significantly reduced（P<0.05， P<0.01）. Baihe Dihuangtang prepared by the two processes both had antidepressant effects， and the difference between the two was not statistically significant in improving depressive symptoms. ConclusionQ-Marker of Baihe Dihuangtang prepared by modern and ancient methods are equivalent in content， and the pharmacological effects are consistent， indicating that dried Lilii Bulbus can replace fresh products in the preparation of Baihe Dihuangtang. This study provides a scientific basis for the development of new drugs of Baihe Dihuangtang and a reference for its rational application and clinical use.

ObjectiveBased on modern analytical techniques and a depressed mouse model established by chronic unpredictable mild stress（CUMS）， to evaluate the quality marker（Q-Marker） and pharmacodynamic difference of Baihe Dihuangtang prepared by different processes. MethodsHigh performance liquid chromatography（HPLC） was used to establish the characteristic profiles of Baihe Dihuangtang， and determine the content of Q-Marker in the samples prepared by ancient and modern processes. Seventy C57BL/6J mice were randomly divided into the normal group， model group， fluoxetine group（3 mg·kg^-1）， low and high dose groups of ancient process（6.5， 26 g·kg^-1）， and low and high dose groups of modern process（6.5， 26 g·kg^-1）， with 10 mice in each group. Except for the normal group， CUMS was used to induce depression in mice from the other groups for 28 d. After successful modeling， administration groups were given the corresponding drugs by gavage every day， and the normal and model groups were given an equal volume of pure water by gavage for 21 consecutive days. Change in body mass of mice was recorded， tail suspension test and open field test were used to evaluate the depressive behavior of mice， and enzyme-linked immunosorbent assay（ELISA） was employed to determine the contents of tumor necrosis factor-α（TNF-α）， interleukin（IL）-1β and IL-6 in serum. ResultsCharacteristic profiles of Baihe Dihuangtang prepared by the two processes were established， the similarity between the two was 0.951， and 8 characteristic peaks were recognized with the reference peak of regaloside A. The results of quantitative analysis showed that the Q-Marker content was similar in Baihe Dihuangtang prepared by ancient and modern processes. The results of pharmacodynamics showed that， compared with the normal group， the model group showed increased immobility time in the tail suspension test， reduced total movement distance in the open field test， and elevated IL-1β， IL-6 and TNF-α levels in the serum（P<0.01）. Compared with the model group， the behavioral indicators of mice in the Baihe Dihuangtang treatment group were significantly improved in terms of tail suspension time and open field exercise， and the levels of IL-1β， IL-6 and TNF-α in serum were significantly reduced（P<0.05， P<0.01）. Baihe Dihuangtang prepared by the two processes both had antidepressant effects， and the difference between the two was not statistically significant in improving depressive symptoms. ConclusionQ-Marker of Baihe Dihuangtang prepared by modern and ancient methods are equivalent in content， and the pharmacological effects are consistent， indicating that dried Lilii Bulbus can replace fresh products in the preparation of Baihe Dihuangtang. This study provides a scientific basis for the development of new drugs of Baihe Dihuangtang and a reference for its rational application and clinical use.

Generative artificial intelligence (GAI) represents a prominent research focus in medicine, with medical education being a key application area. GAI demonstrates potential to enhance residency training efficacy through personalized instruction, automated assessment item generation, question bank updating, and intelligent scoring systems. However, current limitations exist regarding output accuracy and content consistency. To address these constraints, strategic measures are required: continuous GAI model refinement, development of standardized usage guidelines, enhanced data quality control, and implementation of human verification protocols for generated content. Concurrently, residents should proactively acquire GAI utilization skills to strengthen the practical application of theoretical knowledge. With these advancements, GAI is anticipated to evolve into a valuable asset for improving the efficiency and quality of residency training programs.

Objective To compare the biomechanical characteristics of small-angle rotation force versus traditional buccal-lingual force in the extraction of vertically impacted mandibular third molars with single conical roots by a three-dimensional finite element analysis.Methods A patient with a vertical mandibular third molar featuring a conical single root was selected.Spiral CT data were acquired and three-dimensional finite element analysis models were constructed using software including MIMICS,Geomagic Wrap,and Solidworks.ANSYS was utilized to simulate both the small-angle rotation and buccal-lingual forces for tooth extraction.Comparative an-alyses of the biomechanical characteristics of these two forces were conducted by measuring Von-Mises stress and strain distribution.Results In the small-anglerotation force,high-stress and strain areas of tooth,periodontal ligament,and alveolar bone were predomi-nantly concentrated at the cervical region and the upper half of the root,with a more uniform distribution and a broader horizontal diffu-sion range compared to the vertical diffusion range.In the buccal-lingual force,high-stress and strain areas were primarily located at the cervical region and the lower half of the root,particularly at the apical area,with a broader vertical diffusion range compared to the hor-izontal diffusion range.The lingual cortical plate and alveolar bone experienced significantly lower stress in the small-angle rotation force than that in the buccal-lingual force.The overall stress values within the periodontal ligament were markedly higher in the small-angle rotation force,with a more uniform distribution.Conclusion The small-angle rotation force is more likely to tear the periodontal liga-ment and reduce trauma associated with tooth extraction compared to the buccal-lingual force in surgical extraction of vertically impacted mandibular third molars with single conical roots.

Objective To compare the biomechanical characteristics of small-angle rotation force versus traditional buccal-lingual force in the extraction of vertically impacted mandibular third molars with single conical roots by a three-dimensional finite element analysis.Methods A patient with a vertical mandibular third molar featuring a conical single root was selected.Spiral CT data were acquired and three-dimensional finite element analysis models were constructed using software including MIMICS,Geomagic Wrap,and Solidworks.ANSYS was utilized to simulate both the small-angle rotation and buccal-lingual forces for tooth extraction.Comparative an-alyses of the biomechanical characteristics of these two forces were conducted by measuring Von-Mises stress and strain distribution.Results In the small-anglerotation force,high-stress and strain areas of tooth,periodontal ligament,and alveolar bone were predomi-nantly concentrated at the cervical region and the upper half of the root,with a more uniform distribution and a broader horizontal diffu-sion range compared to the vertical diffusion range.In the buccal-lingual force,high-stress and strain areas were primarily located at the cervical region and the lower half of the root,particularly at the apical area,with a broader vertical diffusion range compared to the hor-izontal diffusion range.The lingual cortical plate and alveolar bone experienced significantly lower stress in the small-angle rotation force than that in the buccal-lingual force.The overall stress values within the periodontal ligament were markedly higher in the small-angle rotation force,with a more uniform distribution.Conclusion The small-angle rotation force is more likely to tear the periodontal liga-ment and reduce trauma associated with tooth extraction compared to the buccal-lingual force in surgical extraction of vertically impacted mandibular third molars with single conical roots.

Baihe Dihuangtang is a famous classical formula that has been respected by physicians in the past and is still used today. It was first recorded in ZHANG Zhongjing's Synopsis of the Golden Chamber， and is composed of Lilii Bulbus and Rehmanniae Radix juice. This paper systematically reviewed the research progress of historical evolution， pharmacological activities and clinical applications of Baihe Dihuangtang in recent years， and found that there was no major changes in the composition， decoction method and indications of this formula since the Han dynasty. According to the herbal textual research， the fleshy scaly leaves of Lilium brownii var. viridulum should be selected for Lilii Bulbus in this formula， and the tuberous roots of Rehmannia glutinosa were selected for Rehmanniae Radix. According to the dosage conversion of ancient and modern times， the dosage is 245 g of fresh Lilii Bulbus and 400 g of fresh Rehmanniae Radix， and the ratio of their juice is 1∶1. Its efficacy is to nourish Yin and clear heat， and to tonify the heart and lungs， which is used to treat the heart and lung Yin deficiency syndrome of lily disease. Modern pharmacological studies have shown that the research on the pharmacological effects of Baihe Dihuangtang mainly focuses on anti-depressant， anti-anxiety， improving insomnia and regulating metabolism， and it is mostly used clinically for neurological disorders such as depression， anxiety and insomnia. The quality marker（Q-Marker） of Baihe Dihuangtang were predicted according to the principles of ingredient specificity， component validity， component measurability， formula compatibility， and quality transmissibility and traceability， and it was determined that catalpol， rhmannioside D， regaloside A， regaloside B， regaloside C， and acteoside could be selected as potential Q-Markers of Baihe Dihuangtang， which could provide scientific reference for the establishment of the quality control system and the development of compound preparation of this famous classical formula.

Objective To develop a deep learning network based on attention mechanism to identify the number of the vertical man-dibular third molar(MTM)roots(single or double)on panoramic radiographs in an automatic way.Methods The sample consisted of 1 045 patients with 1 642 MTMs on paired panoramic radiographs and Cone-beam computed tomography(CBCT)and were randomly grouped into the training(80%),the validation(10%),and the test(10%).The evaluation of CBCT was defined as the ground truth.A deep learning network based on attention mechanism,which was named as RN-MTMnet,was trained to judge if the MTM on pano-ramic radiographs had one or two roots.Diagnostic performance was evaluated by accuracy,sensitivity,specificity,and positive predict value(PPV),and the receiver operating characteristic(ROC)curve with the area under the ROC curve(AUC).Its diagnostic perform-ance was compared with dentists'diagnosis,Faster-RCNN,CenterNet,and SSD using evaluation metrics.Results On CBCT images,single-rooted MTM was observed on 336(20.46%)sides,while two-rooted MTM was 1 306(79.54%).The RN-MTMnet achieved an accuracy of 0.888,a sensitivity of 0.885,a specificity of 0.903,a PPV of 0.976,and the AUC value of 0.90.Conclusion RN-MTM-net is developed as a novel,robust and accurate method for detecting the numberof MTM roots on panoramic radiographs.