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.

ObjectiveTo explore the impact of meteorological factors on influenza-like illness （ILI） cases in Anhui Province. MethodsILI surveillance data of Anhui Province from 2016 to 2023 were collected from the “China Influenza Surveillance Information System”， and meteorological data were obtained from Anhui Meteorological Center. R 4.2.1 was used to conduct Spearman rank correlation analysis between ILI cases and meteorological factors. A generalized additive model （GAM） was established to analyze the impact of meteorological factors on ILI cases. ResultsCorrelation analysis and GAM analysis showed that the average temperature and average relative humidity with a one-week lag had significant non-linear effects on ILI （P<0.05）. When the weekly average temperature was below 14 ℃， the number of ILI cases gradually increased as the temperature decreased. When the weekly average relative humidity was below 65%， the number of ILI cases gradually increased as the weekly average relative humidity decreased. The changes in ILI among the age groups 5-14， 15-24 and 25-59 years were influenced by meteorological factors， exhibiting a nonlinear relationship with weekly average temperature or weekly average relative humidity. ConclusionWeekly average temperature and weekly average relative humidity are the main factors affecting ILI in Anhui Province， and there is a lag effect， which can provide a reference for influenza surveillance and early warning.

Implementation science aims to facilitate the efficient dissemination and sustainable application of evidence based interventions, and has accordingly generated a variety of theories, models, and frameworks. Among these, the Exploration, Preparation, Implementation, and Sustainment (EPIS) frameworkfunctions both as a process model and a determinant framework, emphasizing the staged and iterative nature of implementation, and systematically explaining the influence of multilevel factors on implementation processes and outcomes through four dimensions: outer context, inner context, bridging factors, and innovation factors. The EPIS framework has been widely applied in health and public service settings internationally, yet its use in China based research remains relatively limited. This article systematically introduces the core components and application methods of the EPIS framework, and illustrates its value in identifying key influencing factors, developing implementation strategies, and optimizing implementation outcomes through case examples from the health sector, aiming to provide a methodological reference for implementation research and the promotion of evidence based interventions in China.

Objective: To evaluate the effectiveness of a family-school collaborative intervention on sleep health among fifth-grade primary school students, so as to provide scientific evidence for promoting sleep health among primary school students. Methods: From April to June 2024, a baseline survey was conducted on 342 fifth-grade students and their parents from one primary school in a district of Beijing, using the convenient sampling method. A semester of sleep health education was implemented from September to December 2024, covering cognitive, behavioral and environmental factors that affected timely bedtime; and the program took various forms, including student courses, popular-science articles for parents, and personalized feedback reports. Another primary school in the same area was conveniently selected as the control group, where 313 fifth-grade students and their parents received routine health education. The subjects were assessed for their baseline and end-point (March to June 2025) sleep conditions using sleep diaries (222 participants in the intervention group and 225 in the control group) and accelerometers (120 participants in the intervention group and 88 in the control group), respectively. The independent samples t-test and the Wilcoxon rank-sum test were used to compare characteristics between groups，and linear mixed models were employed to evaluate the intervention effects. Results: In the sleep diary evaluation, the intervention group had an earlier weekend wake up time and a smaller social jetlag than the control group at baseline ( t/Z =3.42, 7.21); in the accelerometer evaluation, the intervention group exhibited a smaller social jetlag than the control group at baseline ( Z =3.90) (all P <0.05). In the sleep diary evaluation, compared with the control group, the intervention group showed a reduced pre-to-post change in school-day bedtime ( β = -6.70), whereas the pre-to-post changes in school-day sleep duration, weekend wake-up time, weekend sleep duration, and average sleep duration were all increased at baseline and at the end ( β =8.41, 22.58, 27.03,13.74) (all P <0.05). In the accelerometer evaluation, compared with the control group, the intervention group showed reduced pre-to-post changes in school-day sleep onset time and school-day wake time ( β =-14.75, -6.24), whereas the pre-to-post change in school-day sleep duration increased at baseline and at the end ( β =8.01) (all P <0.05). Conclusion A family-school collaborative sleep health intervention may be an effective strategy for improving sleep among fifth-grade primary school students.

Objective:In order to reduce the trauma associated with fetal cardiopulmonary bypass(F-CPB), Our team plans to develop a minimally invasive F-CPB through a small incision in the right axilla. The efficacy of this technique will be verified by using a big experimental animal model, thereby laying the foundation for fetal cardiac surgery supported by F-CPB in the future.Methods:Ten pregnant sheep were divided into F-CPB group(n=5) and control group(n=5). After fasting for 24 h, fetal lambs in the F-CPB group underwent a right axillary incision to establish F-CPB running for 1 h; The control group of fetal lambs only expose heart 1 h without F-CPB. Collect blood sample for laboratory test at the CPB vehicle before(T0), 30 min(T1), and 1 h after F-CPB running(T2) for the F-CPB group and through Superior Vena Cava before(T0), 30 min(T1), and 1 h after F-CPB running(T2) for the control group.Results:The blood routine indicators such as RBC, HCT, and Hb in the F-CPB group of fetal lambs decreased significantly during F-CPB, and their distribution showed significant statistical differences compared with the control group( P<0.05). There were no significant statistical differences in blood gas indicators such as pH, PO 2, PCO 2, and lactate concentration between the F-CPB group and the control group( P>0.05). There was no statistically significant difference in the concentration of cTnI in fetal lamb serum at each time point( P>0.05). There were significant statistical differences( P<0.05) in the distribution of fetal lamb Alb, γ-GGT, CK concentration and cholesterol concentration at various time points in the F-CPB group compared with the control group in liver function examination. In addition, the distribution of BUN in fetal lambs showed a significant difference between the two groups( P=0.006). Conclusion:A minimally invasive F-CPB via small incision in the right axilla is safe and feasible. The experimental animal model has demonstrated that this technique has minimal impact on the vital organ functions and internal environment of fetal lambs, thereby laying the foundation for clinical fetal cardiac surgery in the future.

Objective To determine the related substances in ornidazole active pharmaceutical ingredient(API)and injections using high performance liquid chromatography(HPLC)and to study the impurity profile of ornidazole using liquid chromatography-tandem mass spectrometry(LC-MS/MS)combined with forced degradation tests,aiming to clarify the sources of impurities and their correlation with the prescription and production process and providing technical support for the unified evaluation and quality control of this product.Methods A Phenomenex Luna C18column(4.6 mm×250 mm,5 μm)was used for the separation of ornidazole and its impurities,with 0.000 5%formic acid as mobile phase A and methanol as mobile phase B under gradient elution.The impurity content of 4 batches of APIs,3 batches of reference preparations,and 11 batches of domestic generic preparations were determined.The structure of unknown impurities was predicted using Jet Stream Ion Focusing Electrospray Ionization-Time of Flight Mass Spectrometry(AJS-TOF-MS/MS),and the sources of impurities were identified combined with forced degradation experiments,the prescription and the production process of various manufacturers.Results Ornidazole and its known impurities were well separated under the chromatographic conditions.The structures of five unknown impurities were inferred,and the sources of the impurities were identified.Conclusion This study provides a reference for impurity analysis,quality control,and overall evaluation of ornidazole API and injection.

Objective:To explore the ideological and political education elements and methods in the introduction to nursing course, so as to enhance its ideological educational effectiveness. Methods:In February 2024, based on a "three-stage" teaching model (pre-class, in-class, and post-class), this study reformed the ideological and political education plan for the introduction to nursing course by integrating online and offline case studies and resources, expanding educational materials, and organizing teaching assessments and effectiveness surveys. A semester-long ideological and political education practice was implemented for 237 first-year nursing students from four classes in Medical College of Xinjiang University of Science and Technology. The effectiveness was evaluated by exam scores and a self-designed Introduction to Nursing Teaching Effectiveness Evaluation Scale under the ideological and political education framework. Results:Among the 237 students, there were 107 males and 130 females, aged (18.50 ± 1.12) years old, 63 achieved a passing grade, 149 achieved a good grade, and 18 achieved an excellent grade, with a pass rate of 97.05% (230/237). The scores of the six dimensions of interest stimulation in teaching methods, acceptance of teaching methods, knowledge review and application, knowledge comprehension and retention, self-challenge and improvement, and satisfaction with learning outcomes within 1 week after the end of the course scores were (3.92 ± 1.11), (4.21 ± 0.82), (4.05 ± 0.97), (4.05 ± 0.89), (4.11 ± 0.94), (4.03 ± 0.90) points, which were significantly higher than 1 week before the start of the course (3.43 ± 1.00), (3.54 ± 1.03), (3.48 ± 1.08), (3.47 ± 1.04), (3.52 ± 1.05), (3.47 ± 1.01) points. The differences were statistically significant ( t values were -19.38- -13.22, all P < 0.01). Conclusions:The "three-stage" teaching model in the introduction to nursing course effectively integrates professional education with ideological and political education, improves students′ academic performance, enhances learning effectiveness in nursing practice, and strengthens the overall impact of ideological and political education.

Gliomas, with their infiltrative growth and malignant potential, present considerable therapeutic challenges. Maximal safe resection is essential for optimizing patient survival and quality of life. Despite this, existing intraoperative visualization techniques suffer from limited sensitivity and accuracy. Label-free Raman spectroscopy has emerged as a non-invasive, rapidly diagnostic, and highly accurate technique. It accurately diagnoses tumors, identifies infiltration margins, and classifies molecular subtypes, enhancing the precision of glioma surgery. This review summarizes the latest advances and applications of label-free Raman spectroscopy in glioma surgery.

Objective:To quantify thoracic and abdominal movements during breathing using inertial measurement units (IMUs) and to build a machine learning model which identifies the abdominal breathing (AB) pattern.Methods:Ten rehabilitation therapists formed the study′s professional group, while 15 patients receiving AB training comprised the validation group. Two synchronized IMUs were applied to capture breathing motions during natural breathing (NB), deep breathing (DB) and AB. Six kinematic features were extracted from each respiratory cycle, and inter-group and inter-pattern differences were analyzed. Correlation analysis was also performed with manually measured changes in thoracic and abdominal circumferences. A support vector classification model for AB pattern detection was then developed using data from the professional and validation groups.Results:A total of 1113 respiratory cycles were extracted and analyzed. The breathing pattern significantly influenced all of the kinematic features studied (0.21≤partial η 2≤0.65, all P≤0.001). The ranges of the angles in medial-lateral axis of the IMUs showed strong correlation with the changes in abdominal and thoracic circumferences (ρ1=0.928, ρ2=0.807, P≤0.001 in both cases). A greater range of abdominal angles was found during AB compared to the other patterns. The best of the models achieved an F1 score of 0.970 (sensitivity: 0.983, specificity: 0.980) in validation. Conclusions:AB generates the greatest abdominal movement. Combining IMUs and machine learning can provide real-time quantification of chest movement and accurate detection of AB during breathing training.

Objective:To explore the implementation effects of an proactive health management model for elderly patients with multimorbidity in comprehensive hospitals based on the concept of people-centered integrated care (PCIC).Methods:This study was a randomized controlled trial. Elderly patients who were hospitalized in the Department of General Practice at Shanghai East Hospital Tongji University and also suffered from hypertension, type 2 diabetes and dyslipidemia from November 2022 to January 2024 were included, and were divided into the control group (traditional health management, n=25) and the intervention group (proactive health management, n=25) using the random number table method. A research team comprising experts in general medicine, pharmacy, nutrition, rehabilitation medicine, psychology, and other relevant specialties was formed. Based on literature analysis, clinical experience, and hospital resources, the team collaborated to develop a comprehensive, hospital-based proactive health management model for elderly patients with comorbidities based on the PCIC concept. Patients in the control group were managed using the traditional health management model. Patients in the intervention group were managed using the proactive health management model. Baseline clinical data was collected and the patients were followed up for 6 months. At the 6-month follow-up, data on blood pressure, fasting blood glucose, and blood lipids were collected, as well as information on polypharmacy, activities of daily living (ADL) ability, 10-year atherosclerotic cardiovascular disease (ASCVD) risk, and unplanned rehospitalization were recorded. Results:A total of 50 patients were enrolled, with 25 patients in each group. The control group had an average age of (70.40±6.54) years, with 15 males(60.0%). The intervention group had an average age of (71.20±5.14) years, with 16 males(64.0%). At the 6-month follow-up, the standardization rates of blood pressure, fasting blood glucose, glycated hemoglobin, low-density lipoprotein cholesterol (LDL-C), non-high-density lipoprotein cholesterol (non-HDL-C), and triglycerides (TG) in both groups were higher than those in the baseline (all P<0.05).In addition, patients in the intervention group had the compliance rates for higher blood pressure, fasting blood glucose, 2-hour postprandial blood glucose, HbA1c, LDL-C, non-HDL-C, and TG than the control group (all P<0.05).At the 6-month follow-up, the 10-year ASCVD high-risk patient percentage decreased in the intervention group compared with baseline ( P=0.023) and was lower than that of the control group ( P=0.045), and the unanticipated readmission rate of patients in the intervention group was also lower than that of the control group ( P=0.042). Conclusions:A proactive health management model for elderly patients with geriatric multimorbidity in a comprehensive hospital, based on the concept of PCIC, was applied to an elderly population with concurrent hypertension, type 2 diabetes and dyslipidemia. The results of the management were favorable.