Objective:To analyze the clinical value of high-frequency color Doppler ultrasound in the detection of axillary lymph node metastasis in breast cancer.Methods:The clinical data of 60 patients with breast cancer who received treatment in Hangzhou Hospital, Zhejiang Medical & Health Group between March 2017 and March 2019 were retrospectively analyzed. Based on pathological results, 34 patients with breast cancer who had axillary lymph node metastasis were included in the observation group, and 26 patients without axillary lymph node metastasis were included in the control group. Both groups of patients underwent high-frequency color Doppler ultrasound examination. Ultrasound image characteristics, distribution of blood flow within the lymph nodes, and grading of blood flow signals were compared between the two groups, and ultrasound diagnosis results were analyzed.Results:Detection rate of cortical thickening, detection rate of lymph node long-diameter to lymph node short-diameter ratio > 2, detection rate of blurred lymph node borders, and detection rate of calcified foci within lymph nodes in the observation group were 55.9% (19/34), 58.8% (20/34), 61.8% (21/34), 52.9% (18/34), respectively, which were significantly higher than those in the control group [11.5% (3/26), 26.9% (7/26), 19.2% (5/26), 7.7% (2/26), χ2 = 12.48, 6.06, 10.85, 13.57, all P < 0.05]. The percentage of peripheral type blood flow distribution in the observation group was significantly higher than that in the control group and the percentage of portal type blood flow distribution in the observation group was significantly lower than that in the control group (both P < 0.05). The percentage of grade 2 blood flow signal in the observation group was significantly lower than that in control group, and the percentage of grade 3 blood flow signal in the observation group was significantly higher than that in the control group (both P < 0.05). The sensitivity, specificity, misdiagnosis rate and missed diagnosis rate of ultrasound in the detection of axillary lymph node metastasis in breast cancer were 88.2% (30/34), 73.1% (19/26), 26.9% (7/26), and 11.8% (4/34), respectively. Conclusion:High-frequency color Doppler ultrasonography in the detection of breast cancer axillary lymph node metastasis has ideal accuracy, and its diagnostic results are of high reference value.

Objective:To explore the chain mediation role of career development planning and career success in the relationship between nurses' professional values and occupational embeddedness.Methods:From February to March 2024, a convenience sampling method was used to select 763 nurses from ClassⅢ Grade A hospitals in Wenzhou as research subjects. Data were collected using a General Information Questionnaire, the Occupational Embeddedness Scale for Nurses (OESN), the Nursing Professional Values Scale-Revised (NPVS-R), the Nurses' Career Planning Questionnaire (NCPQ), and the Career Success Scale for Nurses (CSSN). Pearson correlation analysis was performed to examine the correlations among the scores of OESN, NPVS-R, NCPQ, and CSSN. The AMOS 21.0 software was used to construct a structural equation model to explore the chain mediation role of career development planning and career success in the relationship between nurses' professional values and occupational embeddedness.Results:A total of 763 questionnaires were collected, with 749 valid responses, resulting in an effective recovery rate of 98.17%. The average scores for the 749 nurses were as follows: OESN (60.29±7.65), NPVS-R (108.99±11.82), NCPQ (42.98±4.44), CSSN (73.57±8.34). All four scale scores were positively correlated with each other ( P<0.05). The chain mediation effect of career development planning and career success in the relationship between nurses' professional values and occupational embeddedness was established, with the total indirect effect accounting for 46.04% (0.302/0.656) of the total effect and the chain mediation effect of career development planning and career success accounting for 10.21% (0.067/0.656) . Conclusions:The level of occupational embeddedness among nurses needs further improvement. Nurses' professional values not only directly influence their level of occupational embeddedness but also affect their career development planning, which in turn impacts their career success, ultimately exerting an indirect effect on occupational embeddedness. Nursing managers should strengthen nurses' professional values, assist them in formulating clear career development plans, and provide timely feedback and recognition of career success.

Restricted repetitive behaviors (RRBs) are the most characteristic behaviors of autism spectrum disorder. The clinical diagnosis and treatment of RRBs are extremely difficult resulting from its complex and variable etiology, highly heterogeneous clinical manifestations influenced by multiple factors (sleep quality, gastrointestinal health, age and gender), lack of precise diagnostic criteria and low effectiveness of current clinical interventions. This article mainly reviews the recent related studies on RRBs and discusses the challenges and progress in clinical diagnosis and treatment of RRBs so as to provide new ideas for future clinical diagnosis and treatment.

Objective To analyze the current state,research hotspots,and development trends of electroencephalography(EEG)applied in the field of autism spectrum disorder(ASD). Methods Relevant literature from the Web of Science core collection database from January,2014 to January,2024 were retrieved and analyzed using CiteSpace 6.2.R4. Results A total of 1 509 articles were included,with an increasing trend in publication volume over the years.The United States ranked highest in both publication volume and node centrality.The primary journals in this field were concentrated in clinical medicine,immunology and psychology.Keyword co-occurrence and clustering indicated that research primarily focused on the correlation between core symptoms of ASD and EEG indicators,differential diagnosis of ASD and its comorbidities,brain functional connectivity,and assessment of rehabilitation efficacy.Keywords bursted in the past three years mainly included artificial intelligence and machine learning. Conclusion The researches in EEG technology in the field of ASD is generally increasing.Future researches may focus on exploring the brain network mechanisms of ASD using EEG combined with multimodal neuroimaging,and machine learning technologies.

ObjectiveTo determine the risk factors associated with hypoglycemia in community patients with type 2 diabetes mellitus（T2DM）. MethodsA case-control study was performed among 914 patients with T2DM and no medical history of hypoglycemia were selected in the Diabetes Unit of Tongji University School of Medicine Affiliated Anting Community Health Center in 2018. A total of 196 patients with T2DM who had ≥1 hypoglycemia event in the past 12 months were presented as the case group， and 718 patients who did not have any hypoglycemia event during the same period were included as the control group. Medical history， medication， life style， and related factors were collected. Multivariate logistic regression analysis was used to determine the risk factors associated with hypoglycemia. ResultsHistory of coronary heart disease ［adjusted odds ratio（aOR）=2.077， 95% CI： 1.293-3.337］， renal disease （aOR=4.775， 95% CI： 1.537-14.830）， and previous insulin use （aOR =1.765， 95%CI： 1.147-2.716） significantly increased the risk of hypoglycemia， while angiotensin converting enzyme inhibitors（ACEI）（aOR =0.127， 95%CI： 0.044-0.366） and β-receptor blockers （aOR =0.271， 95%CI： 0.119-0.616） decreased the risk of hypoglycemia among diabetic patients. ConclusionIncidence of hypoglycemia in community patients with diabetes is high. History of coronary heart disease and kidney disease， and previous insulin use may increase the risk of hypoglycemia， which warrants further attention by community general practitioners.

A sensitive, specific and rapid LC-MS method was developed and validated for the determination of salvianolic acid D (SalD) in rat plasma. This method used a single quadrupole mass spectrometer with an electrospray ionization (ESI) source. A single ion monitoring scanning (SIM) mode was employed. It showed good linearity over the concentration range from 3.3 to 666.7 ng/mL for the determination of SalD. The R.S.D.% of intra-day and inter-day precision values were no more than 7.69%, and the accuracy was within 91%-104% at all quality control levels. This LC-MS method was applied to the pharmacokinetic study of SalD in rats. A two-compartmental model analysis was employed. The plasma concentrations at 2 min (C 2min) were 5756.06±719.61, 11,073.01±1783.46 and 21,077.58±5581.97 μg/L for 0.25, 0.5 and 1 mg/kg intravenous injection, respectively. The peak plasma concentration (C max) was 333.08±61.21 μg/L for 4 mg/kg oral administration. The area under curve (AUC0-t ) was 14,384.379±8443.184, 22,813.369±11,860.823, 46,406.122±27,592.645 and 8201.740±4711.961 μg/L·h for intravenous injection (0.25, 0.5 and 1 mg/kg) and oral administration (4 mg/kg), respectively. The bioavailability of SalD was calculated to be 4.159%±0.517%.