Objective: To investigate the clinicopathological characteristics and diagnostic-therapeutic strategies of oncocytic mucoepidermoid carcinoma (OMEC) of the parotid gland, and to enhance awareness of this rare variant among clinicians and pathologists. Methods: The clinical data, imaging findings, histopathological features, immunophenotype, and molecular characteristics of two patients with parotid OMEC were retrospectively analyzed, and the relevant literature was reviewed. Results: Case 1 was a 50-year-old man who presented with a painless mass behind the right earlobe for more than 2 years. The patient underwent extended parotidectomy with preservation of the facial nerve. Histopathological examination revealed that the tumor was predominantly composed of oncocytic cells with a small proportion of mucous cells. Immunohistochemically, the tumor cells were partially positive for cytokeratin 5/6, cytokeratin 7, and P63. Special staining with alcian blue, periodic acid-Schiff, and phosphotungstic acid hematoxylin yielded positive results. The diagnosis of right parotid OMEC was established. No recurrence or metastasis was observed during a 1 year follow-up. Case 2 was a 61-year-old man with a 3-month history of a mass beneath the left ear. After partial parotidectomy at an outside institution, pathological consultation at the Stomatological Hospital of Jilin University demonstrated that the tumor consisted almost entirely of oncocytic cells, exhibited infiltrative growth, and lacked typical mucous, epidermoid, and intermediate cells. Fluorescence in situ hybridization confirmed positive mastermind-like transcriptional activator 2 (MAML2) gene rearrangement, establishing the diagnosis of left parotid OMEC. The patient subsequently underwent total parotidectomy with preservation of the facial nerve, and no recurrence was detected during a short-term 3 months follow-up. A review of the literature indicated that OMEC most commonly arises in the parotid gland and is generally a low-grade malignancy with favorable prognosis. When tumors are composed exclusively of oncocytic cells, exhibit minimal cytological atypia, and lack the classical cellular components of mucoepidermoid carcinoma, they are highly prone to misdiagnosis as oncocytoma, nodular oncocytic hyperplasia, or other benign oncocytic lesions. Accurate differential diagnosis relies on recognition of infiltrative growth patterns, supportive immunophenotypic markers (e.g., P63 positivity), and detection of characteristic MAML2 gene rearrangement. Complete surgical excision remains the treatment of choice. Conclusion OMEC dominated by oncocytic cells carries a high risk of clinical misdiagnosis. Integrating the assessment Conclusion OMEC dominated by oncocytic cells carries a high risk of clinical misdiagnosis. Integrating the assessment of infiltrative histopathological features with immunohistochemistry and molecular detection of MAML2 rearrangement is crucial for accurate diagnosis, appropriate assessment of tumor behavior, and optimal surgical decision making.

Objective:To analyze the association between healthcare workers mental health,institu-tional supplies and facilities,inter-organizational coordination during infectious disease outbreaks,and the healthcare institution resilience.Methods:An online questionnaire survey was conducted among the healthcare workforce from 146 institutions in Beijing from January 13,2023 to February 9,2023,and a total of 1 434 eligible respondents were included.The sample comprised 408 responses from tertiary hos-pitals,117 from secondary hospitals,and 909 from primary care institutions.The resilience indicator for healthcare institutions was defined as the degree to which medical services met patient demands,with in-fluencing factors including physical factors,such as material shortages and facility space adaptation or ex-pansion,organizational factors such as information sharing and patient referral,and psychological factors were evaluated using job satisfaction(extrinsic satisfaction,intrinsic satisfaction),burnout(emotional exhaustion,depersonalization,reduced personal accomplishment),and depression status.Ordered mul-ticlassification Logistic regression was used to examine the impact of various factors on the degree to which healthcare services met patient needs;additionally,demographic factors that might influence institutional resilience were controlled.Results:During the emergency response phase,93％of hospitals maintained the capacity to meet patient needs,though tertiary hospitals demonstrated significantly higher rates of service inadequacy(21.05％).Material shortages were reported across all institutions,with tertiary hos-pitals experiencing more frequent multi-item shortages.Inter-institutional collaboration patterns revealed substantial variation:87.50％of primary care facilities,42.86％of secondary hospitals,and 31.58％of tertiary hospitals.Healthcare workers across all levels reported mild depressive symptoms and moderate-to-severe burnout levels.Regression analysis showed high satisfaction(overall satisfaction β=0.04,ex-trinsic satisfaction β=0.06,and intrinsic satisfaction β=0.08),low degree of job burnout(emotional exhaustion β=-0.04,depersonalization β=-0.07 and reduced personal accomplishment β=0.01),low degree of depression(β=-0.06)were significantly associated with higher healthcare institution re-silience.In addition,material shortages were significantly associated with lower resilience,and renova-tion and expansion of treatment spaces,and information sharing,were all associated with higher resilience.Demographic factors(age,gender,marital status,educational background,etc.)had no sig-nificant impact on resilience.Conclusion:Mental health status significantly influences healthcare institu-tion resilience.As human resources constitute the core asset of healthcare institutions,strategic optimiza-tion of workforce allocation and psychological support interventions can effectively strengthen resilience.Moreover,healthcare institution resilience is positively impacted by orderly material supply chains,timely resource distribution,and adaptive reconfiguration of clinical spaces.Finally,facilitating information sharing also enhances institutional resilience.

Objective:To explore the interrelationship between brain functional networks and features in functional magnetic resonance imaging(fMRI)of patients with Alzheimer's disease(AD),and to construct mixed-function networks(MFN),and apply them in machine learning classification models to improve the accuracy of AD classification.Methods:102 AD patients and 227 healthy subjects in the Alzheimer's Neuroimaging Initiative(ADNI)dataset were retrospectively analyzed.The partial correlation brain network of the blood oxygen level dependent(BOLD)signal was calculated and fused with low-frequency wave amplitude(ALFF),fractional low-frequency wave amplitude(fALFF)and local consistency(ReHo)features to construct MFN.Network topology parameters were extracted,and a variety of machine learning classification models were constructed based on MFN topological parameters,accuracy,precision,recall and area under the curve(AUC)were used to evaluate the predictive efficiency of the models.Results:By constructed MFN and calculated intra group to inter group ratio(IIGR),35 features could be obtained from ALFF,fALFF and ReHo feature topological parameter analysis,after rank sum test and FDR correction,there were statistical differences among 28 features(P＜0.05).The classification results show that,all the five classifiers have high classification performance on the test data set.The accuracy,precision and recall rates of random forest(RF),adaptive lifting algorithm(AdaBoost),guided aggregation algorithm(Bagging)and support vector machine(SVM)were all 99.7％,and the AUC values were up to 100％,99.5％,99.1％and 99.5％,respectively.The accuracy(98.5％),precision(98.5％),recall(98.5％),and AUC(99.1％)of the multi-layer perceptron(MLP)were slightly lower than other models,but remained excellent.It was worth noting that RF has the highest AUC value of all models at 100.0％,while Bagging has the lowest AUC value(99.1％)in the integrated approach.The results of performance comparison show that,MFN classification model can significantly improve the recognition and classification of AD disease,and greatly improve the performance of various indicators of the classifier.The results showed that,MFN classification model was superior to intelligent classification based fusion,DBN-based multitask learning,PVT-TSVM,unsupervised learning and clustering,SVM and SVM of degree 3 polynomial kernel function in key indicators such as accuracy(99.13％),AUC(99.42％),recall rate(99.46％)and specificity(99.42％)with plasma proteins,machine learning algorithms.It was further proved that MFN classification model has good generalization ability and robustness in AD disease classification.Conclusion:The AD classification model constructed based on brain mixed function network topology parameters and machine learning can improve the accuracy of AD classification.

Background With the unprecedented development of aviation business, the work load and job burnout of airport employees are becoming more and more serious, and the impact on sleep quality needs to be addressed. Objective To explore the current situation of work load and sleep quality of airport employees, and whether job burnout plays a role in the relationship between the two variables. Methods During September 2023, a cross-sectional survey was conducted among employees of an airport in Hunan Province, and 1503 employees were surveyed. A basic information questionnaire, a work load measurement questionnaire, Maslach Burnout Inventory General Survey, and Pittsburgh Sleep Quality Index were used in the survey. Logistic regression was used to analyze the influencing factors of sleep quality. SPSS 25.0 PROCESS v4.1 plug-in was used to analyze the mediating effect of job burnout. Results A total of 1503 questionnaires were distributed in this study, and 1424 valid questionnaires were recovered, with a recovery rate of 94.7%. The rate of heavy work load was 50.0% (712/1424), the rate of job burnout was 74.6% (1062/1424), and the rate of sleep disorders was 58.7% (836/1424). The results of logistic regression analysis showed that individuals with job burnout had a 1.734 times higher risk of reporting sleep disorders compared to those without job burnout (95% CI: 1.306, 2.302); compared to those with light work load, individuals with heavy work load have a higher risk of sleep disorders (OR=3.422, 95%CI: 2.639, 4.437). The results of mediating effect test indicated a work load-burnout-sleep quality pathway (P <0.001), with a mediation effect value of 0.1052 (95%CI: 0.019, 0.067), accounting for 18.02% of the total effect. Conclusion The rate of job burnout and the rate of reporting poor sleep quality are high among airport employees, and job burnout plays a mediating role in the relationship between work load and sleep quality. Adopting measures to reduce work load and reduce burnout can improve the sleep quality of airport employees.

A molecularly imprinted electrochemical sensor for rapid detection of tenuazonic acid(TeA)was developed based on the Au-MoS2/MOF(Fe2+/Fe3+)high-efficiency catalytic cycle amplification strategy,using p-aminobenzoic acid(PABA)as the functional monomer,and TeA as the template molecule.The molecularly imprinted polymer(MIP)was prepared on the surface of Au-MoS2/MOF(Fe2+/Fe3+)modified electrode through electropolymerization.By introducing flower-like MoS2 nanoflakes(MoS2 NFs)as a co-catalyst into a mixed-valence structured Fe-MOF(Fe2+/Fe3+),the H2O2 electrochemical signal of the MIP/Au-MoS2/MOF(Fe2+/Fe3+)/GCE was significantly enhanced.Under optimal conditions,the sensor exhibited good selectivity and high sensitivity toward TeA.A linear relationship(R2=0.992)was observed between the electrochemical response and TeA concentration in the range of 0.001-10 μg/kg,with a detection limit of 0.3 ng/kg.The developed method was successfully applied to determination of TeA in fruit samples,with recoveries ranging from 90.8%to 110.8%,and relative standard deviations from 1.9%to 8.4%.

Objective To analyze the characteristics of TCM symptoms of aging in female insomnia patients;To provide syndrome differentiation evidence for clinical prevention and treatment of female aging.Methods A cross-sectional study method was used to include female insomnia patients who attended outpatient clinics at Dongzhimen Hospital of Beijing University of Chinese Medicine,Beijing Changping District Hospital of Traditional Chinese Medicine,and the Third Affiliated Hospital of Beijing University of Chinese Medicine from August 2021 to July 2024.The patients'clinical information was collected,and frequency analysis,factor analysis,and clustering analysis of the relevant clinical information of the 107 female insomnia patients were conducted,which,together with the experts'opinions,resulted in characteristics of TCM syndrome elements and syndrome distribution of aging in female insomnia patients.Results Totally 20 core items were screened and 7 common factors were obtained from the factor analysis.There were 5 types of syndrome elements of disease location associated with aging symptoms in female patients with insomnia,including heart,liver,spleen,kidney and lung;and there were 7 types of syndrome elements of disease property,including qi deficiency,yin deficiency,qi stagnation,blood deficiency,heat,phlegm,and dampness.There were 4 types of syndromes were obtained from the systematic clustering,including heart-kidney disharmony syndrome,heart-liver stagnation syndrome,spleen deficiency and qi stagnation syndrome,lung-spleen qi deficiency syndrome.Conclusion By analyzing the TCM syndrome characteristics of aging symptoms in female patients with insomnia,four types of syndromes are obtained.The heart-kidney disharmony syndrome is the common syndrome.The internal relationship between insomnia and aging process in female patients with insomnia is revealed from the perspective of pathogenesis,which can provide a research basis for the clinical practice of TCM anti-aging guided by syndrome differentiation and treatment in the future.

Nature killer(NK)cells are lymphocytes of the innate immune that play a significant role in aging through direct cell killing and secretion of cytokines.NK cells can delay the occurrence of age-related diseases and prolong lifespan by eliminating senescencent cells.Significant progress has been achieved in the research utilizing NK cells to improve aging.This review aims to summarize that the recent research on the mechanism of NK cells in the context of senescence, as well as the progress made in anti-senescence interventions through animal and clinical studies.Nevertheless, substantial challenges remain for the clinical application of NK cell-based anti-senescence therapies.

Objective:To understand the prevalence of psychoactive substance use and related factors in men who have unprotected sex with men in Zhejiang Province.Methods:Men who have unprotected sex with men were recruited by snowball sampling through men who have sex with men (MSM) social organization in Zhejiang to conduct a cross-sectional investigation from January 2022 to December 2023. The sample size was estimated to be 1 169 individuals. The information about their socio-demographic information, sexual behaviors, psychoactive substance use, and HIV testing were collected through on-site questionnaire survey. Logistic regression analysis model was used to analyze related factors about psychoactive substance use in this population.Results:A total of 1 914 men who have unprotected sex with men were included in the study, the average age of the study subjects was (31.43±10.46) years, and most of them were aged ≤35 years (70.8%, 1 356/1 914). Those with education level of high school or below accounted for 50.1% (960/1 914) and those who were not married accounted for 63.5% (1 216/1 914). Psychoactive substance use in the past 3 months was reported in 19.7% (377/1 914) of the subjects. Multivariate logistic regression analysis showed that the factors associated with psychoactive substance use in the past 3 months included age 26-35 years (a OR=1.65, 95% CI: 1.24-2.19), ≥2 sexual partners in the past 3 months (a OR=2.33, 95% CI: 1.82-2.97), STD diagnosed in the past 3 months (a OR=2.62, 95% CI: 1.45-4.74), and awareness of the HIV infection status of sexual partners (a OR=2.83, 95% CI: 2.12-3.78). Conclusions:The prevalence of psychoactive substance use in men who have unprotected sex with men was high in Zhejiang. It is necessary to strengthen the intervention in this population.

Methods: Motor-evoked potentials (MEPs) and somatosensory-evoked potentials (SEPs) were recorded in 48 patients with TOLF (hybrid 20 vs. en bloc 28) during surgery. Patients were categorized based on MEP/SEP improvement, deterioration, or no change, and MEP/SEP improvement rates were measured in the improvement group. Furthermore, all patients were assessed using the Ashworth and modified Japanese Orthopedic Association scores. Results: The incidences of both MEP/SEP improvement (21.4% vs. 25.0%, p=0.772) and deterioration (21.4% vs. 20.0%, p=0.904) were similar between the en bloc and hybrid laminectomy groups, and no difference in preoperative and postoperative clinical assessments was observed between the two groups (p>0.05). In four patients (4/28, 14.3%) undergoing en bloc laminectomy, MEP amplitudes initially increased after OLF removal but gradually decreased. This delayed MEP reduction did not occur in the hybrid laminectomy group. Furthermore, more patients undergoing en bloc laminectomy had CFL than those undergoing hybrid laminectomy (46.4% vs. 15.0%, p=0.023). In the improvement group, the hybrid laminectomy group exhibited higher MEP improvement rates in the bilateral abductor hallucis than the en bloc laminectomy group (left side: 213.4%±35.9% vs. 152.5%±41.0%, p=0.028; right side: 201.2%±32.0% vs. 145.2%±46.3%, p=0.043). Conclusions Compared with en bloc laminectomy, hybrid laminectomy may be a safe and effective method for treating multilevel TOLF, potentially reducing intraoperative spinal cord irritation and CFL and causing relatively better functional recovery.

Methods: Motor-evoked potentials (MEPs) and somatosensory-evoked potentials (SEPs) were recorded in 48 patients with TOLF (hybrid 20 vs. en bloc 28) during surgery. Patients were categorized based on MEP/SEP improvement, deterioration, or no change, and MEP/SEP improvement rates were measured in the improvement group. Furthermore, all patients were assessed using the Ashworth and modified Japanese Orthopedic Association scores. Results: The incidences of both MEP/SEP improvement (21.4% vs. 25.0%, p=0.772) and deterioration (21.4% vs. 20.0%, p=0.904) were similar between the en bloc and hybrid laminectomy groups, and no difference in preoperative and postoperative clinical assessments was observed between the two groups (p>0.05). In four patients (4/28, 14.3%) undergoing en bloc laminectomy, MEP amplitudes initially increased after OLF removal but gradually decreased. This delayed MEP reduction did not occur in the hybrid laminectomy group. Furthermore, more patients undergoing en bloc laminectomy had CFL than those undergoing hybrid laminectomy (46.4% vs. 15.0%, p=0.023). In the improvement group, the hybrid laminectomy group exhibited higher MEP improvement rates in the bilateral abductor hallucis than the en bloc laminectomy group (left side: 213.4%±35.9% vs. 152.5%±41.0%, p=0.028; right side: 201.2%±32.0% vs. 145.2%±46.3%, p=0.043). Conclusions Compared with en bloc laminectomy, hybrid laminectomy may be a safe and effective method for treating multilevel TOLF, potentially reducing intraoperative spinal cord irritation and CFL and causing relatively better functional recovery.