Objective: To explore human papillomavirus (HPV) and vaccination related knowledge and vaccination willingness of college students in Guizhou Province and their related factors, so as to provide a basis for formulating targeted intervention strategies. Methods: From May to June 2025, by applying convenience sampling method,4 567 college students were selected from 8 universities in Guizhou Province to conduct a questionnaire survey. Awareness of HPV and vaccination related knowledge, vaccination willingness as well as related factors among college students were also analyzed. The t test and Chi square test were used for comparison between groups, and multifactor Logistic regression was employed to analyze the related factors of HPV vaccination willingness among college students. Results: The HPV and vaccine knowledge score of college students in Guizhou Province was ( 10.50 ±2.09), and the score of girls (10.81±1.82) was higher than that of boys (10.19±2.30) ( t=10.09, P <0.01). The HPV vaccination willingness rate of college students was 65.6%, and the rate was higher in girls than in boys (67.1%,64.1%, χ 2=4.75, P <0.05). Multi factor Logistic regression analysis showed that ethnicity and HPV testing were related factors that affected college students willingness to vaccinate (minority: OR boy =1.23, OR girl =1.35; previous HPV testing: OR boy =0.56, OR girl =0.59); boys willingness to vaccinate was related to the number of sexual partners ( OR =0.60), family history of cancer ( OR =0.65), and sexual behavior related HPV knowledge scores ( OR =0.89), while girls willingness to vaccinate was related to bisexual sexual orientation ( OR =0.59), previous HIV testing ( OR =0.60), and HPV and vaccine basic knowledge scores ( OR =0.86) (all P <0.05). Conclusions College students in Guizhou Province have higher HPV vaccine related knowledge scores and are more willing to vaccinate, and those above are higher in girls than in boys. Health education content should be optimized based on gender differences, and promote the willingness and behavior of HPV vaccination among college students.

ObjectiveTo develop an early - warning approach for influenza in Anhui province using the moving epidemic method （MEM）， offering a scientific basis for influenza prevention and control in the province. MethodsBased on the surveillance data reported weekly by influenza sentinel hospitals and network laboratories in the “China Influenza Surveillance Information System”， the weekly influenza virus detection positive rate （positive rate， PR） across the province was analyzed. The MEM was used to estimate the epidemic threshold and classification intensity threshold of influenza in Anhui province before and after the COVID-19 pandemic， respectively. The early warning effect of the MEM was evaluated using cross-validation. ResultsEpidemic and graded intensity thresholds of influenza were derived using PR and MEM. Prior to the COVID-19 pandemic， the starting， medium-intensity， high-intensity， extremely-high-intensity， and ending thresholds of influenza epidemics were 17.08%， 38.47%， 53.20%， 59.71%， and 12.34% respectively. At this point， the model exhibited sensitivity of 0.98， specificity of 0.86， Matthews correlation coefficient of 0.84， and Youden index of 0.84. After the COVID-19 pandemic， these thresholds were 25.61%， 43.81%， 63.29%， 74.46%， and 17.82% respectively. At this point， the model demonstrates sensitivity of 0.86， specificity of 0.92， Matthews correlation coefficient of 0.78， and Youden index of 0.77. ConclusionMEM shows good applicability in estimating the epidemic and graded intensity thresholds of influenza during the winter and spring in Anhui province. Both the influenza epidemic threshold and graded intensity thresholds after the COVID-19 pandemic are higher than those before the pandemic.

Fungal infection is an increasingly serious clinical problem,especially in immunocompromised patients.Fungi,such as Candida albicans,Aspergillus,and Cryptococcus,can form biofilm,which enhance their drug re-sistance and immune evasion ability,thus become major obstacles to the treatment of infection.Biofilm formation is not limited to human body,it can also form on the surface of medical devices,leading to chronic and recurrent infec-tion.This article elaborates the biofilm formation mechanisms and hazards caused by different fungi such as Candi-da albicans and Aspergillus,emphasizes immune suppression,chronic diseases,and medical devices as high-risk factors for biofilm formation.Fungi can form biofilm through multiple stages such as adhesion,proliferation,extra-cellular matrix(ECM)construction,and cell dispersion,and enhance drug resistance based on physical barriers and gene regulation.Although existing antifungal agents are effective in infection caused by planktonic fungi,their treatment efficacy on fungal biofilm is limited.Therefore,the article explores new treatment strategies,including non-pharmacological therapies such as photodynamic therapy and electric field therapy,as well as targeted gene edi-ting and the application of new biomaterials.It is necessary to strengthen the combination of basic research and clini-cal applications,develop efficient and low toxicity treatment scheme to improve the successful treatment rate for patients.

Objective Prepubertal mice are administered subcutaneously with letrozole sustained-release pellets behind the neck and treated with a high-fat diet to establish a mouse model of polycystic ovary syndrome(PCOS).The liver transcriptomes of the model mice are compared with those of the placebo control mice to investigate the underlying mechanisms of liver involvement in the pathogenesis of PCOS.Methods A customized 2 mg dose of letrozole sustained-release pellets with a 40-day release period was used.The control placebo and letrozole pellets were implanted subcutaneously in the dorsal cervical region of 3-4-week-old C57BL/6J mice(8 mice per group)to establish the control group and letrozole-induced PCOS model group.Both groups were treated with a high-fat diet starting the day after administration.The modeling period lasted for 5 weeks,during which body weight and 24-hour food intake were monitored in each group every week.When samples were collected,liver weight was recorded.Pathological changes in ovarian and hepatic tissues were examined by hematoxylin-eosin(HE)staining,while hepatic lipid deposition was observed by Oil Red O staining.The extent of macrophage infiltration in the liver was evaluated via F4/80 immunohistochemical staining,and hepatic fibrosis levels were observed by Masson's trichrome staining.Transcriptomic sequencing was performed to analyze differentially expressed genes(DEGs)in liver tissues between the control and model groups,followed by enrichment analysis of significant DEGs.Quantitative real-time fluorescent quantitative PCR(qPCR)was subsequently used to validate the expression of significant DEGs in liver tissues of both groups.Results Compared with the control group,the model group which received subcutaneous letrozole sustained-release pellets combined with a high-fat diet exhibited significantly increased body weight(P＜0.001),prominent polycystic ovarian morphology,and significantly decreased liver-to-body weight ratio(P＜0.05).However,no significant changes were observed in absolute liver weight(P＞0.05),hepatic histomorphology,or lipid deposition.Transcriptome sequencing identified 119 upregulated and 217 downregulated DEGs in the liver tissues of letrozole-treated mice,which were predominantly enriched in pathways related to cholesterol and steroid biosynthesis,steroid hormone metabolism,and inflammatory responses.qPCR validation demonstrated that mRNA expression of HSD3B2 and HMGCR was significantly upregulated in liver(P＜0.01),while mRNA expression of IL4,CCL2 and COL1A1 was downregulated(P＜0.05)in the model group compared with the control group.However,Masson's trichrome staining and F4/80 immunohistochemical analysis showed no significant changes in hepatic fibrosis or macrophage infiltration.Conclusion Subcutaneous administration of letrozole sustained-release pellets combined with a high-fat diet successfully establishes a mouse model of PCOS.The model mice exhibited significant changes in hepatic gene expression.Liver may contribute to PCOS pathogenesis through regulating cholesterol and steroid metabolism.

Objective To investigate the incidence and types of patient-ventilator asynchrony(PVA)in mechanically ventilated patients within the intensive care unit(ICU),and to identify associated high-risk factors,thereby providing a basis for reducing PVA,enhancing mechanical ventilation efficiency,and refining ventilation strategies.Methods A prospective observational study was conducted among patients admitted to the general ICU of the Affiliated Hospital of Guizhou Medical University from October to December 2024 who were receiving mechanical ventilation.Inclusion criteria were as follows:age ≥18 years and mechanical ventilation duration ≥12 hours.Exclusion criteria included complete controlled mechanical ventilation,palliative care or do-not-resuscitate status,and lack of informed consent.Senior respiratory therapists performed daily bedside observations of ventilator waveforms for 10～15 minutes between 08:00 and 12:00.PVA was diagnosed based on pressure-time and flow-time waveforms,with the types of PVA being recorded.Demographic and clinical data,including age,sex,body mass index(BMI),primary diagnosis,comorbidities,APACHEⅡ score at ICU admission,blood gas analysis,ventila-tion mode and parameters,analgesia and sedation status,duration of mechanical ventilation,and length of ICU stay,were collected.The incidence and types of PVA during the observation period were analyzed.Univariate and multivariate logistic regression analyses were performed to identify high-risk factors for PVA.Clinical outcomes were compared between patients with and without PVA.Results A total of 105 patients and 453 episodes of assisted mechanical ventilation waveforms were analyzed.Among these,60.95％(64/105)experienced at least one episode of PVA.Of the 453 ventilation waveforms assessed,35.76％(162/453)demonstrated PVA.The types of PVA,ranked by incidence,were as follows:cycling mismatch(12.58％,57/453),double triggering(11.92％,54/453),ineffective triggering(9.49％,43/453),flow starvation(5.30％,24/453),and exhalation flow limitation(1.77％,8/453).The incidence of PVA varied significantly across different ventilation modes:45.7％in volume-assist/control ventilation(V-A/C),38.1％in pressure-assist/control ventilation(P-A/C),42.9％in synchronized intermittent mandatory ventilation(SIMV),and 16.7％in pressure support ventilation(PSV)(P<0.001).Multi-variate logistic regression analysis revealed that the mechanical ventilation mode[reference:PSV;V-A/C:OR=4.687,95％CI:2.140～10.263,P<0.001;P-A/C:OR=2.922,95％CI:1.489～5.734,P=0.002;SIMV:OR=4.682,95％CI:1.758～12.466,P=0.002]and actual respiratory rate(OR=1.07,95％CI:1.016～1.127,P=0.011)were significant high-risk factors for PVA.Patients with PVA had a significantly longer duration of mechanical ventilation[8.21(5.35,13.91)days vs.3.00(1.96,5.71)days,P<0.001]compared to those without PVA.Conclusions PVA is commonly observed in ICU patients receiving assisted invasive mechanical ventilation,with cycling mismatch,double triggering,and ineffective triggering being the most prevalent types.The incidence of PVA tends to be lower when using the PSV mode.Clinically,real-time monitoring of patient-ventilator synchrony via ventilator waveforms,along with the optimization of ventilator modes and parameters,should be employed to minimize the occurrence of PVA and enhance the efficiency of mechanical ventilation.

Objective:To investigate the mediating effect of work engagement on the relationship between nurses′ perception of authentic leadership and their innovative behavior, providing insights for enhancing nurses′ innovative practices.Methods:A convenience sampling method was employed to recruit registered nurses from 37 hospitals in Anhui Province between January and March 2022. The Authentic Leadership Questionnaire, Utrecht Work Engagement Scale and Nurse Innovative Behavior Scale were utilized to conduct a cross-sectional survey. SPSS 25.0 was used to analyze the correlations among nurses′ perception of authentic leadership, work engagement, and innovative behavior, while AMOS 26.0 was employed to assess the mediating effect of work engagement between nurses′ perception of authentic leadership and innovative behavior.Results:A total of 3 200 questionnaires were distributed, and 2 994 valid questionnaires were collected. Among the 2 994 participating nurses, 2 907 (97.1%) were female and 87 (2.9%) were male, 1 002 (33.5%) aged 22-25 years, 1 374 (45.9%) aged 26-39 years, 467 (15.6%) aged 40-49 years, and 151 (5.0%) aged 50 years or older. The total scores of the Authentic Leadership Questionnaire, Utrecht Work Engagement Scale and Nurse Innovative Behavior Scale were (68.23 ± 13.15), (51.49 ± 11.65) and (38.28 ± 8.35) points, respectively. Pearson correlation analysis revealed significant positive correlations between nurses′ perception of authentic leadership and work engagement ( r=0.473, P<0.01), between nurses′ perception of authentic leadership and innovative behavior ( r=0.530, P<0.01), and between work engagement and innovative behavior ( r=0.553, P<0.01). The mediating effect analysis indicated that work engagement partially mediates the relationship between nurses′ perception of authentic leadership and innovative behavior ( β=0.18, P<0.01), with a mediation effect ratio of 34.62%. Conclusions:Nurses′ perception of authentic leadership can indirectly influence their innovative behavior through work engagement. It is recommended that nursing managers prioritize the enhancement of authentic leadership and foster work engagement among nurses to stimulate their innovative behavior.

Objective Prepubertal mice are administered subcutaneously with letrozole sustained-release pellets behind the neck and treated with a high-fat diet to establish a mouse model of polycystic ovary syndrome(PCOS).The liver transcriptomes of the model mice are compared with those of the placebo control mice to investigate the underlying mechanisms of liver involvement in the pathogenesis of PCOS.Methods A customized 2 mg dose of letrozole sustained-release pellets with a 40-day release period was used.The control placebo and letrozole pellets were implanted subcutaneously in the dorsal cervical region of 3-4-week-old C57BL/6J mice(8 mice per group)to establish the control group and letrozole-induced PCOS model group.Both groups were treated with a high-fat diet starting the day after administration.The modeling period lasted for 5 weeks,during which body weight and 24-hour food intake were monitored in each group every week.When samples were collected,liver weight was recorded.Pathological changes in ovarian and hepatic tissues were examined by hematoxylin-eosin(HE)staining,while hepatic lipid deposition was observed by Oil Red O staining.The extent of macrophage infiltration in the liver was evaluated via F4/80 immunohistochemical staining,and hepatic fibrosis levels were observed by Masson's trichrome staining.Transcriptomic sequencing was performed to analyze differentially expressed genes(DEGs)in liver tissues between the control and model groups,followed by enrichment analysis of significant DEGs.Quantitative real-time fluorescent quantitative PCR(qPCR)was subsequently used to validate the expression of significant DEGs in liver tissues of both groups.Results Compared with the control group,the model group which received subcutaneous letrozole sustained-release pellets combined with a high-fat diet exhibited significantly increased body weight(P＜0.001),prominent polycystic ovarian morphology,and significantly decreased liver-to-body weight ratio(P＜0.05).However,no significant changes were observed in absolute liver weight(P＞0.05),hepatic histomorphology,or lipid deposition.Transcriptome sequencing identified 119 upregulated and 217 downregulated DEGs in the liver tissues of letrozole-treated mice,which were predominantly enriched in pathways related to cholesterol and steroid biosynthesis,steroid hormone metabolism,and inflammatory responses.qPCR validation demonstrated that mRNA expression of HSD3B2 and HMGCR was significantly upregulated in liver(P＜0.01),while mRNA expression of IL4,CCL2 and COL1A1 was downregulated(P＜0.05)in the model group compared with the control group.However,Masson's trichrome staining and F4/80 immunohistochemical analysis showed no significant changes in hepatic fibrosis or macrophage infiltration.Conclusion Subcutaneous administration of letrozole sustained-release pellets combined with a high-fat diet successfully establishes a mouse model of PCOS.The model mice exhibited significant changes in hepatic gene expression.Liver may contribute to PCOS pathogenesis through regulating cholesterol and steroid metabolism.

During the 14th Five-Year Plan period, the population of China has turned into a stage of negative growth, the fertility rate gradually declined, and the infertility rate gradually increased. The most effective treatment for infertility is assisted reproductive technology (ART), which has brought hope for fertility to many patients. However, the current promotion of the utilization of ART is still fraught with many obstacles. In this context, focusing on the realistic challenges of ART on its development in China, we will take a problem-oriented approach, utilize the relevant policies of ART in foreign countries as references, and put forward policy recommendations for the further implementation of ART, such as coordinating the balanced distribution of ART resources in the region, strengthening policy safeguards for ART, enhancing the institutional functioning of professional associations in medical ethics, and standardizing the application of ART treatments.

Objective To investigate the incidence and types of patient-ventilator asynchrony(PVA)in mechanically ventilated patients within the intensive care unit(ICU),and to identify associated high-risk factors,thereby providing a basis for reducing PVA,enhancing mechanical ventilation efficiency,and refining ventilation strategies.Methods A prospective observational study was conducted among patients admitted to the general ICU of the Affiliated Hospital of Guizhou Medical University from October to December 2024 who were receiving mechanical ventilation.Inclusion criteria were as follows:age ≥18 years and mechanical ventilation duration ≥12 hours.Exclusion criteria included complete controlled mechanical ventilation,palliative care or do-not-resuscitate status,and lack of informed consent.Senior respiratory therapists performed daily bedside observations of ventilator waveforms for 10～15 minutes between 08:00 and 12:00.PVA was diagnosed based on pressure-time and flow-time waveforms,with the types of PVA being recorded.Demographic and clinical data,including age,sex,body mass index(BMI),primary diagnosis,comorbidities,APACHEⅡ score at ICU admission,blood gas analysis,ventila-tion mode and parameters,analgesia and sedation status,duration of mechanical ventilation,and length of ICU stay,were collected.The incidence and types of PVA during the observation period were analyzed.Univariate and multivariate logistic regression analyses were performed to identify high-risk factors for PVA.Clinical outcomes were compared between patients with and without PVA.Results A total of 105 patients and 453 episodes of assisted mechanical ventilation waveforms were analyzed.Among these,60.95％(64/105)experienced at least one episode of PVA.Of the 453 ventilation waveforms assessed,35.76％(162/453)demonstrated PVA.The types of PVA,ranked by incidence,were as follows:cycling mismatch(12.58％,57/453),double triggering(11.92％,54/453),ineffective triggering(9.49％,43/453),flow starvation(5.30％,24/453),and exhalation flow limitation(1.77％,8/453).The incidence of PVA varied significantly across different ventilation modes:45.7％in volume-assist/control ventilation(V-A/C),38.1％in pressure-assist/control ventilation(P-A/C),42.9％in synchronized intermittent mandatory ventilation(SIMV),and 16.7％in pressure support ventilation(PSV)(P<0.001).Multi-variate logistic regression analysis revealed that the mechanical ventilation mode[reference:PSV;V-A/C:OR=4.687,95％CI:2.140～10.263,P<0.001;P-A/C:OR=2.922,95％CI:1.489～5.734,P=0.002;SIMV:OR=4.682,95％CI:1.758～12.466,P=0.002]and actual respiratory rate(OR=1.07,95％CI:1.016～1.127,P=0.011)were significant high-risk factors for PVA.Patients with PVA had a significantly longer duration of mechanical ventilation[8.21(5.35,13.91)days vs.3.00(1.96,5.71)days,P<0.001]compared to those without PVA.Conclusions PVA is commonly observed in ICU patients receiving assisted invasive mechanical ventilation,with cycling mismatch,double triggering,and ineffective triggering being the most prevalent types.The incidence of PVA tends to be lower when using the PSV mode.Clinically,real-time monitoring of patient-ventilator synchrony via ventilator waveforms,along with the optimization of ventilator modes and parameters,should be employed to minimize the occurrence of PVA and enhance the efficiency of mechanical ventilation.

Objective We improved the segmentation model TransUNet based on deep learning methods to construct a multitask model that can both segment regions of interest and predict classification,which made it possible to identify sensitive populations of patients undergoing neoadjuvant therapy for rectal cancer.Methods The multitask model added classification structure on the basis of TransUNet,including the fully connected layer(input of 512,output of 256),the ReLU activation function,and the fully connected layer(input of 256,output of 3),to achieve the prediction of triple classification outcomes(stable disease(SD),partial response(PD),and complete response(CR)).The 3D MRI of 71 rectal cancer patients before neoadjuvant chemotherapy admitted to the Harbin Medical University Cancer Hospital from 2015 to 2017 were extracted into 2D images as data for the study.Dice coefficient and Hausdorff distance were used to evaluate thesegmentation performance,and accuracy,micro-precision,micro-recall,and micro-F1 score were used for classification performance.Results The model was trained for 100 epochs,and the average Dice coefficient and average Hausdorff distance for the segmentation task on the test set were 0.851 and 10.806,respectively.For the classification task,the accuracy,micro-precision,micro-recall,and micro-F1 score on the test set were all 0.651 from the slicing perspective,and all four metrics were 0.857 from the patient perspective.Conclusion Our model works well in the segmentation task.Although the model performs poorly on the classification task at the slice level,the performance was acceptable at the patient level taking into account the tripartite classification results.The multitask model has the potential to be used in the clinic for assisted diagnosis.