Objective: To develop and compare multiple machine learning models for identifying high-risk college students exhibiting phubbing behavior and to determine key predictive factors, so as to provide evidence for precise screening and early intervention strategies. Methods: In December 2025, 1 828 undergraduate students, selected from three universities in Wuhan by using convenience sampling method, were surveyed via online qustionnaire for sociodemographic characteristics, phubbing behavior, family cohesion index, mature happiness, fear of negative evaluation, multidimensional state boredom, and psychological vulnerability. Four machine learning algorithms, including multilayer perceptron (MLP), extreme gradient booting (XGBoost), K-nearest neighbors (KNN), and gradient boosting decision tree (GBDT), were applied. The dataset was randomly split into a training set and a test set at a ratio of 7∶3. Model performance was evaluated using accuracy, recall, F1-score, and area under the receiver operating characteristic curve (AUC). The best performing model was further interpreted using shapley additive explanation (SHAP) analysis to assess feature importance. Results: In the training set,955 participants were classified as having low level phubbing behavior, and 325 participants were classified as having high level phubbing behavior. Significant differences were observed in psychological vulnerability, multidimensional state boredom, family cohesion index, and mature happiness between groups ( Z =-10.29, -11.72, -8.17, -7.83, all P <0.05). Significant differences were also found in the detection rate of high level phubbing behavior according to family residence, family status, left behind experience,interpersonal relationships,exercise frequency,physical flexibility,and sleep status ( χ 2=12.22, 38.93, 16.90, 44.64, 58.17, 82.14, 37.89, all P <0.05). Among the four machine learning models (MLP, KNN, GBDT, XGBoost),all showed good discrimination ability, with XGBoost performing best (accuracy 79%, recall 71%, F1-score=0.70, AUC=0.78), while GBDT achieved the highest precision (78%). Feature importance analysis showed that multidimensional state boredom was the most important predictor of phubbing behavior, followed by psychological vulnerability, family cohesion, mature happiness, and fear of negative evaluation. SHAP analysis indicated that multidimensional state boredom, psychological vulnerability, and fear of negative evaluation had positive risk effects, while family cohesion and hedonic well being had protective effects for high risk of phubbing behavior. Conclusions Multidimensional state boredom is the core predictor of phubbing behavior among college students. The XGBoost model demonstrates good predictive performance and can provide a reference for identifying high risk individuals and implementing targeted interventions.

ObjectiveTo observe the effect of Yifei Jianpi prescription on the of signal transducer and activator of transcription protein 1 （STAT1）/interferon regulatory factor 3 （IRF3） signaling pathway in a pneumonia model induced by lipopolysaccharide （LPS） and to explore the mechanism of Yifei Jianpi prescription in improving lung immune and inflammatory responses. MethodsSixty male SPF SD rats were used in this study. Ten rats were randomly assigned to the normal control group， and the remaining 50 were instilled with LPS in the trachea to establish a pneumonia model. After successful modeling， the rats were randomly divided into the model group， dexamethasone group （0.5 mg·kg^-1）， and Yifei Jianpi prescription high-dose （12 mg·kg^-1）， medium-dose （6 mg·kg^-1）， and low-dose （3 mg·kg^-1） groups， with 10 rats in each group. Treatment was administered once daily， and the normal control and model groups received the same volume of normal saline. After 14 days， flow cytometry was used to detect the classification of whole blood lymphocytes. Enzyme-linked immunosorbent assay （ELISA） was used to measure serum levels of immunoglobulin G （IgG）， immunoglobulin A （IgA）， immunoglobulin M （IgM）， and the content of tumor necrosis factor-α （TNF-α）， interleukin-8 （IL-8）， interleukin-6 （IL-6）， and interleukin-10 （IL-10） in alveolar lavage fluid （BALF）. Hematoxylin-eosin （HE） staining was used to observe lung tissue pathology and score the damage. Thymus weight， spleen weight， and wet-to-dry weight ratio （W/D） were recorded. Real-time fluorescence quantitative polymerase chain reaction （Real-time PCR） was used to detect the mRNA expression of STAT1， IRF3， IL-6， and interferon-alpha （IFN-α） in lung tissues， while Western blot was performed to assess the protein expression of STAT1， IRF3， IL-6， and IFN-α. ResultsCompared with the normal control group， the model group showed significantly increased proportion of B lymphocytes in peripheral blood， decreased proportions of NK cells and CD4⁺/CD8⁺ （P<0.05， P<0.01）， decreased serum levels of IgG and IgA， significantly increased IgM levels （P<0.01）， significantly elevated content of TNF-α， IL-6， and IL-8 in BALF， and significantly decreased IL-10 levels （P<0.01）. Lung tissue damage was evident， with significant increases in thymus and spleen weights and a higher W/D ratio （P<0.01）. The mRNA and protein expression of STAT1， IRF3， IFN-α， and IL-6 in lung tissues was significantly upregulated （P<0.05，P<0.01）. Compared with the model group， the Yifei Jianpi prescription groups showed significantly reduced proportions of B lymphocytes in peripheral blood， increased proportions of NK cells and CD4⁺/CD8⁺ ratios （P<0.05， P<0.01）， significantly increased serum levels of IgG and IgA， significantly decreased IgM levels （P<0.05， P<0.01）， significantly reduced levels of TNF-α， IL-6， and IL-8 in BALF， and significantly increased IL-10 levels （P<0.01）. Lung tissue damage was alleviated， thymus and spleen weights were significantly reduced， and the W/D ratio was markedly decreased （P<0.01）. The mRNA and protein expression of STAT1， IRF3， IFN-α， and IL-6 in lung tissues was significantly downregulated （P<0.05， P<0.01）. ConclusionYifei Jianpi prescription can alleviate lung tissue damage and improve immune and inflammatory responses in LPS-induced pneumonia rats. The mechanism may be related to the inhibition of STAT1/IRF3 signaling pathway activation.

OBJECTIVE To explore the clinical distribution and drug resistance of common species of pathogens iso-lated from a three-A hospital of Guangzhou from Jan.2017 to 2023 Dec.so as to provide bases for clinical diagno-sis and reasonable use of antibiotics.METHODS A total of 10,086 strains of aerobic bacteria were clinically isola-ted from the patients who were hospitalized in a three-A hospital of Guangzhou from 2017 to 2023.The constituent ratios of the common species of pathogens,specimen sources,distribution of departments and drug resistance rates to commonly used antibiotics were retrospectively analyzed.RESULTS Totally 10,086 strains of pathogens were isolated from the specimens of the hospitalized patients from 2017 to 2023.Klebsiella pneumoniae,Pseudo-monas aeruginosa,Escherichia coli,Acinetobacter baumannii and Staphylococcus aureus ranked the top 5 species of pathogens.The sputum,midstream urine and whole blood were the major specimen sources.The hospital-asso-ciated infection was highly prevalent in critical care medicine department,neurology department,geriatrics depart-ment,neurosurgery department and urology department.The result of drug resistance showed that the drug re-sistance rates of the K.pneumoniae and P.aeruginosa strains to various types of antibiotics showed upward trends(P＜0.05);the drug resistance rate of the A.baumannii strains to imipenem was decreased,while the drug resist-ance rates to most of the antibiotics were more than 45％.No gram-positive cocci strains that were resistant to vancomycin,teicoplanin or linezolid were found.CONCLUSIONS The common clinical isolates of pathogens are generally resistant to antibiotics.It is necessary for clinicians to attach great importance to the culture of pathogens and drug susceptibility testing and reasonably use antibiotics based on the result of drug susceptibility testing so as to reduce the occurrence and spread of drug-resistant strains.The hospital should strengthen the surveillance of drug resistance of bacteria so as to boost the clinical curative effect,standardize the management and use of antibi-otics and take effective measures to control of the hospital-associated infection.

Objective To investigate CBX2 and TIM3 in salivary adenoid cystic carcinoma(SACC)tissue and their relationship with clinical pathological features and prognosis.Methods 80 patients with SACC who underwent surgical treatment in the First Affiliated Hospital of Hebei North University from January 2016 to January 2020 were selected.Immunohistochemistry was used to measure CBX2 and TIM3 in tissues.The relationship between CBX2 and TIM3 in SACC tissue and prognosis was discussed though Kaplan-Meier method.The factors influencing the prognosis of SACC were discussed using multivariate Cox regression.Results The positive rates of CBX2 and TIM3 in SACC tissues were clearly higher than those in normal glandular tissues adjacent to cancer(χ2=11.237,8.229,P<0.05).The CBX2 and TIM3 were associated with nerve invasion and distant metastasis(P<0.05).After a 5-year follow-up,26 cases died and 54 cases survived,with an overall 5-year survival rate of 67.50%(54/80).The death group had higher positive rates of CBX2 and TIM3 in SACC tissues than the survival group(P<0.05).Patients with positive CBX2 and TIM3 in SACC tissues had clearly lower 5-year survival rate than patients with negative CBX2 and TIM3(Log Rank χ2=6.564,5.197,P<0.05).CBX2,TIM3 positivity,nerve invasion,and distant metastasis were risk factors affecting prognosis(P<0.05).Conclusion The positive expression of CBX2 and TIM3 in SACC tissues is closely related to the clinical pathological features and prognosis of patients.

Hepatocellular carcinoma(HCC)is one of the most common malignant tumors.Tyrosine kinase inhibitors have been used in the mainstream treatment of HCC for many years,but their therapeutic efficacy is limited and the prognosis of patients is very poor.In recent years,the rapid rise of immunotherapy has provided a new direction for tumor treatment.In particular,immune checkpoint inhibitors have shown excellent clinical effect in the treatment of various solid tumors,including HCC.This article reviews various immune checkpoint inhibitors related to HCC and their clinical practice and research progress,aiming to provide a relevant reference and theoretical basis for the immunotherapy of HCC.

OBJECTIVE To explore the clinical distribution and drug resistance of common species of pathogens iso-lated from a three-A hospital of Guangzhou from Jan.2017 to 2023 Dec.so as to provide bases for clinical diagno-sis and reasonable use of antibiotics.METHODS A total of 10,086 strains of aerobic bacteria were clinically isola-ted from the patients who were hospitalized in a three-A hospital of Guangzhou from 2017 to 2023.The constituent ratios of the common species of pathogens,specimen sources,distribution of departments and drug resistance rates to commonly used antibiotics were retrospectively analyzed.RESULTS Totally 10,086 strains of pathogens were isolated from the specimens of the hospitalized patients from 2017 to 2023.Klebsiella pneumoniae,Pseudo-monas aeruginosa,Escherichia coli,Acinetobacter baumannii and Staphylococcus aureus ranked the top 5 species of pathogens.The sputum,midstream urine and whole blood were the major specimen sources.The hospital-asso-ciated infection was highly prevalent in critical care medicine department,neurology department,geriatrics depart-ment,neurosurgery department and urology department.The result of drug resistance showed that the drug re-sistance rates of the K.pneumoniae and P.aeruginosa strains to various types of antibiotics showed upward trends(P＜0.05);the drug resistance rate of the A.baumannii strains to imipenem was decreased,while the drug resist-ance rates to most of the antibiotics were more than 45％.No gram-positive cocci strains that were resistant to vancomycin,teicoplanin or linezolid were found.CONCLUSIONS The common clinical isolates of pathogens are generally resistant to antibiotics.It is necessary for clinicians to attach great importance to the culture of pathogens and drug susceptibility testing and reasonably use antibiotics based on the result of drug susceptibility testing so as to reduce the occurrence and spread of drug-resistant strains.The hospital should strengthen the surveillance of drug resistance of bacteria so as to boost the clinical curative effect,standardize the management and use of antibi-otics and take effective measures to control of the hospital-associated infection.

BACKGROUND:Micro-robots have the characteristics of small size,flexibility,and strong targeting,and can complete complex tasks in a single or clustered manner in a narrow environment.With the continuous optimization of materials,preparation processes,and driving approaches,they have shown increasingly important application value in the field of biomedicine. OBJECTIVE:To analyze the application of field-driven micro-robots in medical field and to look forward to their application prospect. METHODS:Using"microrobots,nanorobots,drivers,biomedical,medical"as Chinese keywords and"microrobots,micro-robots,nanorobots,micromachine,microswimmer,medical"as English keywords,WanFang Data and PubMed databases were searched,respectively.The search time range was from January 2010 to January 2024,and a small number of long-term articles were included.Through reading the titles and preliminarily screening the abstracts,the repetitive studies,low-quality journals,and irrelevant literature were excluded.After reading the entire text,66 papers were finally included for review. RESULTS AND CONCLUSION:Field-driven medical micro-robots mainly include magnetic,optical,thermal,ultrasonic,and multi-mixed factor-driven robots.Field-driven robots have been used in intestinal diagnosis,drug targeting therapy,and stem cell therapy.Medical micro-robots are currently only used in a small number of clinical applications,but most of which are still in the theoretical and experimental stages.Medical micro-robots will face many challenges in future,such as large-scale preparation,precise control of micro-robots,recycling or degradation in vivo,whether the materials used will cause adverse reactions to the human body,and the related minimally invasive medical procedures.

Objective To compare the diagnostic values of different detection methods for respir-atory pathogens in children with acute respiratory infections.Methods A total of 862 children with a-cute respiratory infections were enrolled,and their throat swab samples were tested for seven common respiratory pathogens by the dual amplification method and a self-built nucleic acid detection system.For samples with inconsistent results between the two methods,nested polymerase chain reaction(PCR)was performed for verification.Results The positive detection rate of the dual amplification method was 57.75％,which was significantly higher than 30.14％of the self-built nucleic acid detec-tion system,and the detection rate of mixed infections was 10.14％,which was also significantly high-er than 1.97％of the self-built nucleic acid detection system(P＜0.05).The sensitivity of the dual amplification method was 91.63％,which was significantly higher than 72.61％of the self-built nu-cleic acid detection system,and the specificity was 92.31％,which was also significantly higher than 75.62％of the self-built nucleic acid detection system(P＜0.05).Conclusion The dual amplifica-tion method can simultaneously detect the ribonucleic acid of seven respiratory pathogens with high sensitivity and specificity,demonstrating significant clinical application value.

Objective To analyze the trends in disease burden and risk factors of depression among the elderly population in China from 1990 to 2021,and to provide a theoretical basis for the prevention,treatment,and policy-making of geriatric depression in China.Methods Data on the disease burden of geriatric depres-sion in China from 1990 to 2021,including the number of incident cases,disability-adjusted life years(DALYs),incidence rate,and DALY rate,were extracted from the 2021 Global Burden of Disease(GBD)database.The Joinpoint regression model was used to analyze the trends by calculating the annual percentage change(APC)and average annual percentage change(AAPC).The autoregressive integrated moving average(ARIMA)model was employed to predict the disease burden of geriatric depression over the next five years.Population attributable fractions(PAFs)were used to describe the risk factors for geriatric depression in China in 1990 and 2021.Results From 1990 to 2021,the number of incident cases and the incidence rate of geri-atric depression in China showed an overall upward trend.The most significant increase in incidence was ob-served in the 60-64 age group,while the prevalence rate increased notably in the ≥ 95 age group.The DALY rate showed the most pronounced upward trend in the 65-69 age group.The incidence,prevalence,and DALY rates of geriatric depression were higher in women than in men.Major risk factors included child-hood sexual abuse and intimate partner violence,with the impact of intimate partner violence being particular-ly significant among women.The ARIMA model predicted that the incidence,prevalence,and DALY rates of geriatric depression in China would decline over the next five years,with a greater decline observed in women than in men.Conclusions From 1990 to 2021,the incidence,prevalence,and DALY rates of geriatric de-pression in China showed an overall upward trend,with higher rates observed in women than in men.Greater attention should be paid to the elderly female population,with a focus on early prevention to reduce the dis-ease burden of geriatric depression.

Hepatocellular carcinoma(HCC)is one of the most common malignant tumors.Tyrosine kinase inhibitors have been used in the mainstream treatment of HCC for many years,but their therapeutic efficacy is limited and the prognosis of patients is very poor.In recent years,the rapid rise of immunotherapy has provided a new direction for tumor treatment.In particular,immune checkpoint inhibitors have shown excellent clinical effect in the treatment of various solid tumors,including HCC.This article reviews various immune checkpoint inhibitors related to HCC and their clinical practice and research progress,aiming to provide a relevant reference and theoretical basis for the immunotherapy of HCC.