Objective: To explore the dynamic developmental trajectories of college students class belongingness during their college years and its longitudinal predictive effects on depressive symptoms, so as to provide targeted insights for precise campus psychological interventions. Methods: In October 2021 (T1), a total of 4 720 college students from a university in Shandong Province were selected by cluster sampling method and followed up for 3 years. Surveys were conducted annually (T2: October 2022, T3: October 2023, T4: October 2024). The Class Belongingness Scale and Patient Health Questionnaire-9 (PHQ-9) were used to assess students class belongingness and depressive symptoms. Latent growth mixture modeling was employed to identify trajectories of class belonging, and multinomial Logistic regression analysis was used to examine the predictive effects of these trajectory classes on depressive symptoms. Results: Mean scores of class belongingness across T1-T4 were (73.24±11.95, 74.76±12.25, 75.25±12.38, 77.64±11.63), and the scores of depressive symptoms were [1.00 (0, 5.00), 0 (0, 3.00), 0 (0, 2.00), 0 (0, 2.00)]. The developmental trajectories of class belongingness were categorized into three types: the high-starting ascending group ( 56.61 %), the low-starting descending group (11.91%), and the medium-starting stable group (31.48%). Multinomial Logistic regression analysis showed that, compared to the medium-starting stable group, the high-starting ascending group had a lower probability of developing mild depressive symptoms ( OR=0.27, 95%CI =0.15-0.47) and moderate or above depressive symptoms ( OR=0.29, 95% CI = 0.14-0.60) (both P <0.05). Conversely, the low-starting descending group had a higher probability of developing mild depressive symptoms ( OR=2.31, 95%CI =1.65-3.22) and moderate or above depressive symptoms ( OR=7.49, 95%CI = 3.82-14.69) (both P <0.05). Conclusion Declining trajectory of class belongingness is a risk factor for depressive symptoms, while sustained upward trend may mitigate such risks.

ObjectiveTo explore the effect of blood flow restriction training (BFRT) under different intensities combined with low-intensity resistance training (LIRT) on motor function in stroke patients with frailty. MethodsFrom August, 2024 to August, 2025, 200 elderly ischemic stroke patients with frailty from Affiliated Hospital, North China University of Science and Technology were randomized into control group and observation groups 1, 2 and 3, with 50 cases in each group. All the groups received 30% 1RM resistance training. In addition, the observation groups received BFRT of 40%, 50% and 60% arterial occlusion pressure (AOP), respectively. Before training, and four and eight weeks after training, their motor function was evaluated with Fugl-Meyer Assessment-Upper Extremities (FMA-UE) and Fugl-Meyer Assessment-Lower Extremities (FMA-LE), grip strength, 10-Metre Walk Test (10MWT) and Berg Balance Scale (BBS); Fried Frailty Phenotype (FFP) was used to assess frailty status; and the score of modified Ashworth Scale (MAS), blood pressure and resting heart rate were recorded. ResultsOne case dropped out in each group. For the scores of FMA-UE and FMA-LE, the grip strength of both hands, the time of 10MWT and the score of BBS, the main effects of group and time, and interaction effect were all significant (F > 2.745, P < 0.05); four weeks after training, the above indexes were better in the observation groups than in the control group (P < 0.05); eight weeks after training, the scores of FMA-UE and FMA-LE, the grip strength of both hand and the score of BBS were better in the observation group 3 than in the observation groups 1 and 2 (P < 0.05), and the time of 10MWT was better in the observation group 3 than in the observation group 1 (P < 0.05). For the score of FFP, the main effect of group was significant (F = 688.360, P < 0.001), however, the effects of time and interaction were not significant (P > 0.05). For the score of MAS, the main effect of group was significant (F = 7.171, P = 0.008), however, the effects of time and interaction were not significant (P > 0.05). For the blood pressure and resting heart rate, the main effects of group and time, and interaction effect were not significant (P > 0.05). ConclusionBFRT under different intensities combined with LIRT can safely improve the motor function, grip strength, walking ability in elderly stroke patients, and 60% AOP may be more effective.

Objective To evaluate the application value of fascial platform versus commercial platform in transumbilical single-port laparoscopic transabdominal preperitoneal repair(TAPP)for inguinal hernia.Methods One hundred patients with inguinal hernia admitted between January and December 2024 were prospectively enrolled and randomly assigned to either the fascial platform group(n=50)or the commercial platform group(n=50)by using a random number table.The following parameters were compared between the two groups:platform establishment time,operative time,intraoperative blood loss,incision suture time,operative difficulty score,camera manipulation difficulty score,postoperative 24-hour Visual Analogue Scale(VAS)score of pain,postoperative hospital stay,total hospitalization cost,comprehensive satisfaction score,and postoperative complications.Results The fascial platform group demonstrated significantly superior outcomes compared to the commercial platform group in platform establishment time[(3.4±1.0)min vs.(8.1±1.5)min,t=-18.389,P＜0.001],operative time[(67.5±7.9)min vs.(72.2±11.5)min,t=-2.380,P=0.019],intraoperative blood loss[(8.3±4.3)ml vs.(11.1±5.7)ml,t=-2.798,P=0.006],incision suture time[(7.0±1.4)min vs.(11.8±2.7)min,t=-11.212,P＜0.001],operative difficulty score(14.4±3.6 vs.23.1±4.1,t=-11.215,P＜0.001),camera manipulation difficulty score(11.4±2.6 vs.18.3±2.5,t=-13.370,P＜0.001),VAS score of postoperative 24-hour pain(2.4±1.0 vs.3.7±1.1,t=-6.139,P＜0.001),total hospitalization cost[(15.8±1.6)thousand yuan vs.(18.3±1.6)thousand yuan,t=-7.841,P＜0.001],and comprehensive satisfaction score(7.3±1.1 vs.6.3±1.0,t=5.271,P＜0.001).However,there were no statistically significant differences in postoperative hospital stay or postoperative complication between the two groups(P＞0.05).All the patients were followed up for 1-12 months postoperatively[(5.3±1.8)months vs.(5.7±2.0)months,t=-0.945,P=0.347],with no recurrence observed in either group.Conclusions Both fascial platform and commercial platform can be used for transumbilical single-port TAPP.The fascial platform offers advantages including shorter platform establishment time,reduced incision suture time,lower operative and camera manipulation difficulty,decreased cost,less postoperative pain,and higher patient satisfaction.

Objective To investigate the prediction of natural killer(NK)cells,and T helper cells(Th)cy-tokine levels for assisted reproductive pregnancy outcomes in high-risk human papillomavirus(HR-HPV)in-fected patients.Methods A total of 128 cases of HR-HPV infected patients who received assisted reproduc-tive treatment in a hospital from September 2021 to June 2023 were selected as the study objects,and were di-vided into normal pregnancy outcome group(n=87)and adverse pregnancy outcome group(n=41)accord-ing to their pregnancy outcomes.The clinical data,NK cell proportion,interleukin(IL)-2,IL-4,IL-6 and IL-10 levels before in vitro fertilization-embryo transfer treatment were collected and compared between the two groups.Spearman correlation analysis,univariate Logistic regression analysis and multiple Logistic regression analysis were used to screen out the risk factors for adverse pregnancy outcomes in HR-HPV infected patients receiving assisted reproduction.Receiver operating characteristic(ROC)curve and area under the curve(AUC)were used to evaluate the predictive efficacy of risk factors alone and in combination for adverse preg-nancy outcomes in HR-HPV infected patients undergoing assisted reproduction.Results The age of the ad-verse pregnancy outcome group was significantly higher than that of the normal pregnancy outcome group,and the difference was statistically significant(P＜0.05).The proportion of NK cells and the level of IL-10 in the adverse pregnancy outcome group were significantly lower than those in the normal pregnancy outcome group,and the level of IL-6 was significantly higher than that in the normal pregnancy outcome group,with statistical significance(P＜0.05).Spearman correlation analysis showed that age and IL-6 level of HR-HPV infection were positively correlated with adverse pregnancy outcome after assisted reproduction(r=0.582,0.341,P＜0.001).The proportion of NK cells and the level of IL-10 were negatively correlated with adverse pregnancy outcomes after assisted reproduction(r=-0.459,-0.359,P＜0.001).Multivariate Logistic re-gression analysis showed that the proportion of NK cells,low level of IL-10 and high level of IL-6 in HR-HPV infected persons were risk factors for adverse pregnancy outcomes after assisted reproduction(P＜0.05).ROC curve analysis results showed that the AUC of NK cell ratio,IL-6 and IL-10 alone and in combination to predict adverse pregnancy outcome after assisted reproduction in HR-HPV infected patients were 0.784,0.711,0.660 and 0.876,respectively.The efficiency of combined prediction using the three indicators was higher than that of independent prediction(Z=3.006,3.211,3.716,P＜0.05).Conclusion The levels of NK cells and Th cytokines have important clinical significance in the prediction of assisted reproductive pregnancy outcome in HR-HPV infected patients.

Objective:Middle ear cholesteatoma is a common otolaryngological disease, and traditional diagnostic methods have certain limitations. This study aims to construct a computer-aided diagnosis model for middle ear cholesteatoma based on integrated convolutional neural networks (CNNs) to improve diagnostic accuracy and efficiency.Methods:Firstly, Data were collected from patients who visited the Department of Otorhinolaryngology Head and Neck Surgery at the First People′s Hospital of Yinchuan between January 2020 and December 2021. 8 000 temporal bone CT images were collected, including 5 000 images diagnosed pathologically as middle ear cholesteatoma and 3 000 normal images. A five-fold cross-validation method was used to divide the dataset into training and testing sets. Next, a transfer learning approach was used to initialize model parameters, and the AlexNet, GoogleNet, and ResNet networks were pre-trained to extract deep features from the images. Then, the Softmax classification algorithm was applied to classify the features, resulting in three independent classifiers. These classifiers were combined using an ensemble learning method with a weighted voting approach to obtain the final diagnostic results. Finally, the model was evaluated by comparing the ensemble classifier with individual classifiers to assess its accuracy, precision, sensitivity, specificity, and diagnostic time, and a comparison with low-mid-and high-experience physician groups was conducted to comprehensively evaluate the model′s diagnostic performance.Results:The experimental results showed that the model achieved an accuracy of 88.8%(178/200), precision of 92.9%,(112/120) sensitivity of 89.8%(108/120), and specificity of 88.1%(70/80). The average diagnostic time for individual patient temporal bone CT images was reduced to 2-3 seconds. Compared to the diagnostic results from low-mid-and high-experience physician groups, the model demonstrated significant advantages and effectively assisted clinicians in making rapid and accurate middle ear cholesteatoma diagnoses.Conclusion:The proposed middle ear cholesteatoma diagnostic model based on integrated convolutional neural networks exhibits high recognition accuracy and rapid diagnostic speed, significantly improving clinical diagnostic efficiency, especially in early screening and auxiliary diagnosis, making it of considerable value in clinical practice.

Objective: To analyze the current status and hotspots of the construction of healthy cities, so as to provide the reference for promoting healthy city construction. Methods: Retrieve relevant articles on the construction of healthy cities from CNKI and Web of Science databases until December 2024. Count the number of publications, countries/regions of publication, and research institutions. Keyword co-occurrence maps were drawn by using CiteSpace 6.3.R1 software, and combined cluster analysis to summarize the main research hotspot themes. Results: A total of 1 120 articles were retrieved. Among them, there were 670 English articles, with the first one published in 2006, and the peak number (109 articles) of publications was reached in 2021. There were 426 Chinese articles, with the first one published in 1996, and the peak number (62 articles) of publications was reached in 2020. The overall number of publications showed an upward trend. Among the English articles, China, the United States, and the United Kingdom ranked the top three in terms of the number of publications, with 171, 97, and 80 articles, respectively. Wuhan University, the University of Hong Kong, and Peking University were the top three core institutions, with 18, 17, and 14 articles, respectively. High-frequency keywords included "healthy cities", "physical activity", "healthy city", "city", "built environment", "health", and "public health". The main research hotspot themes encompassed four aspects: mental health and the built environment, public health policies, climate change and urban sustainability, and the multidimensional complex relationships of health determinants. Among the Chinese articles, China had the highest number of publications, with 422 articles (99.06%). Tongji University, Tsinghua University, and Nanjing University were the top three core institutions, with 30, 11, and 8 articles, respectively. High-frequency keywords were "healthy cities", "urban planning", "public health", "built environment", "indicator system", and "influencing factors". The main research hotspot themes included three aspects: urban planning and spatial layout, the comprehensive practice and policy framework of healthy city construction, and the interaction between health activities and the built environment. Conclusions The number of publications on the construction of healthy cities has increased, and both Chinese and English articles focus on public health and the built environment. Construction of healthy cities has interdisciplinary characteristics.

Objective:To explore the longitudinal trajectory of sleep disorders and their influencing factors in newly diagnosed breast cancer patients, and provide theoretical basis for formulating intervention measures to improve sleep quality of breast cancer patients.Methods:A longitudinal study was conducted using convenience sampling to select newly diagnosed breast cancer patients from Shandong Provincial Third Hospital and Shandong First Medical University Affiliated Provincial Hospital from April 2023 to June 2024. General information questionnaires, the Pittsburgh Sleep Quality Index (PSQI), the Concerns About Recurrence Scale (CARS), and the Distress Disclosure Index (DDI) were used for the survey. The Kruskal-Wallis H test and generalized estimating equation models were used to examine sleep disorders and their influencing factors. Results:A total of 473 valid questionnaires were collected. Among the 473 newly diagnosed breast cancer patients, 435 were female and 38 were male, aged (49.5 ± 11.0) years old. The CARS score at admission was (3.00 ± 1.12) points, with concerns about death (0.71 ± 0.67) points and concerns about female characteristics (0.81 ± 0.72) points. The DDI score at admission was (27.00 ± 10.03) points. The PSQI scores at admission, discharge, and one month after discharge were (15.34 ± 3.05), (12.12 ± 3.01), and (10.13 ± 1.78) points, respectively, the difference was statistically significant ( H =33.19, P<0.05). The PSQI scores at these three time points were positively correlated with the CARS score and concerns about death and female characteristics ( r values were 0.42-0.79, all P<0.05), and negatively correlated with the DDI score ( r =-0.41, -0.37, -0.31, all P<0.05). The generalized estimating equation model showed that female gender ( β=1.35, 95% CI 0.27-2.30), education level of junior high school or below ( β=1.89, 95% CI 0.24-3.19), severe pain ( β=1.72, 95% CI 0.32-3.12), moderate pain ( β=2.51, 95% CI 0.37-4.66), invasive special cancer ( β=2.57, 95% CI 1.67-4.07), invasive non-special cancer ( β=2.11, 95% CI 1.98-3.12), partial understanding of the condition ( β=1.91, 95% CI 1.23-3.01), concerns about death ( β=1.61, 95% CI 0.17-2.78), and concerns about femininity ( β=1.34, 95% CI 0.37-2.15) positively predicted the sleep quality index in newly diagnosed breast cancer patients (all P<0.05). Non-invasive cancer ( β=-3.82, 95% CI -6.79--3.36), lack of understanding of the condition ( β=-3.96, 95% CI -7.09--4.62), and DDI score ( β=-1.45, 95% CI -2.14--0.15) negatively predicted the sleep quality index (all P<0.05). Conclusions:The overall sleep quality of newly diagnosed breast cancer patients is low, with the lowest at admission and gradual improvement at discharge and one month after discharge. Medical staff should pay attention to high-risk patients who are female, have lower education levels, higher pain scores, poorer pathological types, and partial understanding of their condition.

This paper reviews the current application status of big language model in nursing, the needs for information technology development in critical care nursing, the current application status of and future development direction of big language model in critical care nursing, as well as the risks and challenges faced, with a view to providing a reference for promoting the application of big language model in critical care nursing.

Objective:To explore the factors influencing the non-reversal of mild cognitive impairment (MCI) after a first stroke.Methods:A total of 243 first stroke patients with MCI were enrolled at the First Affiliated Hospital of Zhengzhou University from March 2020 to March 2023. The patients were followed up for one year to assess the reversal of MCI. Patients who did not undergo reversal and those who did undergo reversal were included in non-reversal group and reversal group, respectively. General information of non-reversal group and reversal group was compared. Binary Logistic regression was used to analyze the factors influencing the non-reversal of MCI after a first stroke.Results:After one year of follow-up, the non-reversal rate was 25.10% (61/243) among 243 first stroke patients with MCI. Binary Logistic regression analysis showed that older age, history of diabetes, high National Institute of Health Stroke Scale (NIHSS) score at admission, left-sided lesions, and modified Fazekas grade 3 were risk factors for non-reversal of MCI after a first stroke ( P<0.05), while educational level of college degree or above was a protective factor ( P<0.05) . Conclusions:Older age, history of diabetes, high NIHSS score at admission, left-sided lesions, and modified Fazekas grade 3 are risk factors for non-reversal of MCI after a first stroke, while an educational level of college degree or above is a protective factor.