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.

Background Metals and metalloids in fine particulate matter (PM_2.5) may cause damage to the respiratory and circulatory systems of the human body, and long-term exposure is prone to causing chronic poisoning, cancer, and other adverse effects. Objective To assess the distribution characteristics of metals and metalloids in outdoor PM_2.5 in a southern city of China, conduct source apportionment, and evaluate the associated health risks, thereby providing theoretical support for further pollution control measures. Methods PM_2.5 samples were collected in districts A, B, and C of a southern China city, and the concentrations of 17 metals and metalloids were detected by inductively coupled plasma-mass spectrometry (ICP-MS). Pollution sources were assessed through enrichment factor and principal components analysis, and the main pollution sources were quantified using absolute principal component scores-multivariate linear regression (APCS-MLR). Health risks were evaluated based on the Technical guide for environmental health risk assessment of chemical exposure (WS/T777—2021). Results The ambient air PM_2.5 concentrations in the city were higher in winter and spring, and lower in summer and autumn. The annual average concentrations of ambient PM_2.5 in districts A, B, and C were 36.7, 31.9, and 24.4 μg·m⁻³, respectively. The ambient PM_2.5 levels in districts B and C were below the second-grade limit set by the Ambient air quality standards (GB 3095—2012). The enrichment factors of cadmium (Cd), aluminum (Al), and antimony (Sb) were greater than 10, those of copper (Cu), lead (Pb), arsenic (As), nickel (Ni), mercury (Hg), and molybdenum (Mo) fell between 1 and 10, and those of manganese (Mn), vanadium (V), chromium (Cr), cobalt (Co), barium (Ba), beryllium (Be), and uranium (U) were below or equal to 1. The comprehensive evaluation of source analysis showed that the main pollution sources in districts A and C and the whole city were coal-burning. In district B, the main pollution source was also coal combustion, followed by industrial process sources and dust sources. The carcinogenic risks of As and Cr were between 1×10⁻⁶ and 1×10⁻⁴. However, the hazard quotients for 15 metals and metalloids in terms of non-carcinogenic risk were below 1. Conclusion Cr and As in the atmospheric PM_2.5 of the city present a certain risk of cancer and should be paid attention to. In addition, preventive control measures should be taken against relevant pollution sources such as industrial emission, dust, and coal burning.

Objective To explore the influencing factors of coronary artery lesion severity in patients with acute coronary syndrome (ACS). Methods Clinical data of ACS patients admitted to Zhongshan Hospital, Fudan University from December 2017 to December 2019 were consecutively collected. The modified Gensini score was used to assess the severity of coronary artery lesions. Univariate and multivariate linear regression analyses were performed to identify independent factors associated with coronary artery lesion severity. Results A total of 1 689 ACS patients were included, with an average age of (64.04±11.45) years; 1 353 (80.11%) were male, and the mean modified Gensini score was (8.12±4.03). Multivariate linear regression analysis revealed that sex (β＝0.97, P＝0.001), age (β＝0.03, P＝0.021), estimated glomerular filtration rate (eGFR; β＝－0.03, P＜0.001), low-density lipoprotein cholesterol (LDL-C; β＝0.58, P＜0.001), apolipoprotein A1 (Apo A1; β＝－1.28, P＝0.012), lipoprotein(a) [Lp(a); β＝0.001, P＝0.033], and glycated hemoglobin A_1C (HbA_1C; β＝0.45, P＜0.001) were independent influencing factors of the modified Gensini score. Conclusions Metabolic indicators, including Apo A1, LDL-C, HbA_1C, and Lp(a), may serve as risk factors for coronary artery lesion severity in ACS patients, with Apo A1 demonstrating the strongest impact.

To comprehend the genetic evolutionary characteristics and biological properties of the H4N1 subtype avian influenza virus(AIV)in China,this study conducted whole genome sequen-cing,genetic evolutionary analysis,and pathogenicity test in BALB/c mice of a duck-derived H4N1 subtype AIV strain(DK/GX/E1424/20)isolated from the live poultry market in the southern re-gion in 2020.The results indicated that the cleavage site motif of the HA protein was PEKASR/GLF,which conformed to the characteristics of low pathogenic AIV.All the eight gene fragments were situated in the Eurasian lineage,and the homology of AIV-related genes of the H1N1,H3N8,H4N6,H6N1,and H10N8 subtypes isolated from wild waterfowl was the highest,representing a recombinant virus strain.Without prior adaptation,it replicated effectively in the lungs and turbi-nates of mice,with viral titers of 3.00 and 2.08 log10EID50/mL respectively,and induced weight loss in infected mice.This study suggested that this virus had significant genetic diversity and low pathogenicity in mice,posing a potential risk for mammalian infection.

The Diagnosis-Intervention Packet(DIP)payment exerts notable effects on hospitals' economic operations.As centralized hubs of high-quality medical resources,tertiary hospitals face a functional mismatch with the provision of services for primary care diseases.By analyzing the admission and payment practices for primary care diseases in sample hospitals in Henan Province,it identifies key challenges,including inadequate alignment between healthcare payment reform policies and management systems,weak foundational capabilities in hospital health insurance informatization,and insufficient awareness of health insurance policies among medical staff.It is recommended that hospitals should strengthen communication and coordination with health insurance administration agencies to foster positive interactions between healthcare providers and insurers;continuously advance in-house health insurance informatization and enhance data governance capabilities;improve strategic awareness and innovate value-based health insurance management models.

Objective To explore the characteristics of oropharyngeal metabolites of postoperative pneumonia(POP)and non-POP patients with gastric cancer by non-targeted metabolomics,and to provide reference for revea-ling the pathogenesis as well as clinical prevention and control.Methods Oropharyngeal swabs were collected from patients who underwent surgical treatment for gastric cancer in the department of gastrointestinal surgery of a tertia-ry hospital in Fujian Province from January 2022 to December 2023,nested case-control study was adopted,with 30 cases in POP group and non-POP group,respectively,ultrahigh performance liquid chromatography-tandem mass spectrometry(UHPLC-MS/MS)technique was adopted for detection,and multivariate statistical analysis was per-formed.Results The metabolites of POP group and non-POP group preoperatively,POP group and non-POP group postoperatively,POP group preoperatively and postoperatively,as well as non-POP group preoperatively and post-operatively did not show a clear trend of separation on the score graph of principal component analysis(PCA),par-tial least squares discriminant analysis(PLS-DA),and orthogonal partial least squares discriminant analysis(OPLS-DA),but the screening of the differential metabolites revealed that the relative abundances of ascorbic acid and lipoic acid in the POP group preoperatively were lower than non-POP group preoperatively.The relative abundance of 5'-adenylic acid in the POP group preoperatively was lower than postoperatively,while the relative abundances of suc-cinic acid and phenylacetaldehyde were higher.There were differences in metabolic pathways such as phenylalanine.Conclusion Alteration of metabolite level due to abnormalities in specific metabolic pathways presents in the deve-lopment of gastric cancer POP and may be related to the development of POP.

Objective To analyze and compare the efficacy of DNA barcode,i.e.,Cytochrome b(Cytb)and 12S ribosomal RNA(12S rRNA)gene sequences,in the species identification of wildlife.Methods DNA extraction,quantification,PCR amplification of Cytb and 12S rRNA gene fragments,Sanger sequencing,and sequence alignment analysis were performed on ten wildlife samples.Results Both gene fragments were successfully amplified in six samples,while Cytb alone was successfully amplified in 1 sample,and 12S rRNA alone in 3 samples.Sequence analysis indicated that Cytb enabled species-level identification for 6 samples(Gallinula chloropus,Streptopelia orientalis,Phasianus colchicus,Falco naumanni,Myiopsitta monachus and Lynx lynx)and genus-level identification for 1 sample(Lepus).In contrast,12S rRNA achieved species-level identificaggion for 8 samples(Gallinula chloropus,Lepus sinensis,Phasianus colchicus,Myiopsitta monachus,Muntiacus reevesi,Macaca mulatta and Lynx lynx),representing seven species,and genus-level identification for 1 sample(Falco).However,by combining Cytb and 12S rRNA,all samples could be identified to the species level.Conclusion When applying DNA barcodes to wildlife identification,the Cytb and 12S rRNA gene regions analyzed here can effectively identify common species such as Gallinula chloropus and Streptopelia orientalis,but face difficulties in distinguishing closely related species within the same genus.Therefore,when conducting wildlife species identification,it is recommended to use two or more DNA barcode markers.

BACKGROUND:In recent years,the application of exosomes of periodontal ligament stem cells in periodontal tissue regeneration engineering has been widely studied,but the effect of exosomes on periodontal ligament stem cells derived from inflammatory environment is still unclear.OBJECTIVE:To investigate the effects of exosomes secreted by periodontal ligament stem cells from healthy and inflammatory environments on the proliferation and differentiation of periodontal ligament stem cells from inflammatory environments.METHODS:Human periodontal ligament stem cells from healthy and inflammatory tissues were isolated and cultured by enzyme digestion method.Exosomes were extracted from two kinds of periodontal ligament stem cells using ultracentrifugation.Passage 3 periodontal ligament stem cells derived from inflammatory tissue were selected and cultured in three groups.Cells in the blank group were cultured routinely.The healthy exosome group was added with exosomes secreted by peripheral ligament stem cells derived from healthy tissue.The inflammatory exosome group was added with exosomes secreted by human periodontal ligament stem cells derived from inflammatory tissue.Cell proliferation and cloning were detected.The expression of alkaline phosphatase,the formation of mineralized nodules,and the expression of mRNA and protein of genes related to osteogenesis were detected under osteogenic differentiation.RESULTS AND CONCLUSION:(1) CCK-8 assay and clonal formation test showed that compared with the blank group,two kinds of exosomes could promote the proliferation and colony formation of periodontal ligament stem cells from inflammatory tissue (P<0.05),and the effect of the healthy exosome group was stronger than that of the inflammatory exosome group (P<0.05).(2) Alkaline phosphatase and alizarin red staining showed that compared with the blank group,the two kinds of exosomes could promote the expression of alkaline phosphatase and the formation of mineralized nodules in periodontal ligament stem cells from inflammatory tissue,and the promoting effect of the healthy exosome group was stronger than that of the inflammatory exosome group.RT-PCR and western blot assay showed that compared with the blank group,the two kinds of exosomes could promote the expression of alkaline phosphatase,RUNX2,and type Ⅰ collagen mRNA and protein in periodontal ligament stem cells from inflammatory tissue (P<0.05).The promoting effect of the healthy exosome group was stronger than that of the inflammatory exosome group (P<0.05).(3) The results showed that exosomes secreted by human periodontal ligament stem cells could promote the proliferation and osteogenic differentiation of periodontal ligament stem cells derived from inflammatory environments,and the promoting effect of exosomes secreted by human periodontal ligament stem cells derived from healthy tissues was better than that from human periodontal ligament stem cells derived from inflammatory tissues.

BACKGROUND:In recent years,the application of exosomes of periodontal ligament stem cells in periodontal tissue regeneration engineering has been widely studied,but the effect of exosomes on periodontal ligament stem cells derived from inflammatory environment is still unclear.OBJECTIVE:To investigate the effects of exosomes secreted by periodontal ligament stem cells from healthy and inflammatory environments on the proliferation and differentiation of periodontal ligament stem cells from inflammatory environments.METHODS:Human periodontal ligament stem cells from healthy and inflammatory tissues were isolated and cultured by enzyme digestion method.Exosomes were extracted from two kinds of periodontal ligament stem cells using ultracentrifugation.Passage 3 periodontal ligament stem cells derived from inflammatory tissue were selected and cultured in three groups.Cells in the blank group were cultured routinely.The healthy exosome group was added with exosomes secreted by peripheral ligament stem cells derived from healthy tissue.The inflammatory exosome group was added with exosomes secreted by human periodontal ligament stem cells derived from inflammatory tissue.Cell proliferation and cloning were detected.The expression of alkaline phosphatase,the formation of mineralized nodules,and the expression of mRNA and protein of genes related to osteogenesis were detected under osteogenic differentiation.RESULTS AND CONCLUSION:(1) CCK-8 assay and clonal formation test showed that compared with the blank group,two kinds of exosomes could promote the proliferation and colony formation of periodontal ligament stem cells from inflammatory tissue (P<0.05),and the effect of the healthy exosome group was stronger than that of the inflammatory exosome group (P<0.05).(2) Alkaline phosphatase and alizarin red staining showed that compared with the blank group,the two kinds of exosomes could promote the expression of alkaline phosphatase and the formation of mineralized nodules in periodontal ligament stem cells from inflammatory tissue,and the promoting effect of the healthy exosome group was stronger than that of the inflammatory exosome group.RT-PCR and western blot assay showed that compared with the blank group,the two kinds of exosomes could promote the expression of alkaline phosphatase,RUNX2,and type Ⅰ collagen mRNA and protein in periodontal ligament stem cells from inflammatory tissue (P<0.05).The promoting effect of the healthy exosome group was stronger than that of the inflammatory exosome group (P<0.05).(3) The results showed that exosomes secreted by human periodontal ligament stem cells could promote the proliferation and osteogenic differentiation of periodontal ligament stem cells derived from inflammatory environments,and the promoting effect of exosomes secreted by human periodontal ligament stem cells derived from healthy tissues was better than that from human periodontal ligament stem cells derived from inflammatory tissues.

Objective To analyze and compare the efficacy of DNA barcode,i.e.,Cytochrome b(Cytb)and 12S ribosomal RNA(12S rRNA)gene sequences,in the species identification of wildlife.Methods DNA extraction,quantification,PCR amplification of Cytb and 12S rRNA gene fragments,Sanger sequencing,and sequence alignment analysis were performed on ten wildlife samples.Results Both gene fragments were successfully amplified in six samples,while Cytb alone was successfully amplified in 1 sample,and 12S rRNA alone in 3 samples.Sequence analysis indicated that Cytb enabled species-level identification for 6 samples(Gallinula chloropus,Streptopelia orientalis,Phasianus colchicus,Falco naumanni,Myiopsitta monachus and Lynx lynx)and genus-level identification for 1 sample(Lepus).In contrast,12S rRNA achieved species-level identificaggion for 8 samples(Gallinula chloropus,Lepus sinensis,Phasianus colchicus,Myiopsitta monachus,Muntiacus reevesi,Macaca mulatta and Lynx lynx),representing seven species,and genus-level identification for 1 sample(Falco).However,by combining Cytb and 12S rRNA,all samples could be identified to the species level.Conclusion When applying DNA barcodes to wildlife identification,the Cytb and 12S rRNA gene regions analyzed here can effectively identify common species such as Gallinula chloropus and Streptopelia orientalis,but face difficulties in distinguishing closely related species within the same genus.Therefore,when conducting wildlife species identification,it is recommended to use two or more DNA barcode markers.