Objective To investigate the safety, economic benefits and psychological effects of day breast conserving surgery for breast cancer. Methods The demographic data and clinical data of breast cancer patients undergoing day (day surgery group) and ward (ward surgery group) breast conserving surgeries in West China Hospital of Sichuan University from March 2020 to June 2021 were retrospectively collected; the demographic data, clinical data, medical and related transportation costs, and preoperative and postoperative BREAST-Q scores of breast cancer patients undergoing day (day surgery group) and ward (ward surgery group) breast conserving surgery in West China Hospital of Sichuan University from June 2021 to June 2022 were prospectively collected. The safety, economic benefit, and psychological satisfaction of day surgery was analyzed. Results A total of 42 women with breast cancer were included in the retrospective study and 39 women with breast cancer were included in the prospective study. In both prospective and retrospective studies, the mean age of patients in both groups were <50 years. There were only statistical differences between the two groups in the aspects of hypertension (P=0.022), neoadjuvant chemotherapy (P=0.037) and postoperative pathological estrogen receptor (P=0.033) in the prospective study. In postoperative complications, there were no statistical differences in the surgical-related complications or anesthesia-related complications between the two groups in either the prospective study or the retrospective study (P>0.05). In terms of the overall cost, we found that the day surgery group was more economical than the ward surgery group in the prospective study (P=0.002). There were no statistical differences in postoperative psychosocical well-being, sexual well-being, satisfaction with breasts or chest condition between the two groups (P>0.05). Conclusion It is safe and reliable to carry out breast conserving surgery in day surgery center under strict management standards, which can save medical costs and will not cause great psychological burden to patients.

Objective To systematically analyze the medical radiation exposure levels in a district of Ningbo City and to provide a scientific basis for the reasonable and effective control of medical radiation exposure. Methods Based on the radiological diagnosis frequency and dose information system, basic medical radiation exposure data were collected, such as radiation doses received by patients in various X-ray diagnostic examinations, from all 13 public medical institutions in a district of Ningbo City from January 1 to December 31, 2020. The data were analyzed for the percentage and collective effective dose of various diagnostic examinations, the distribution of examinations by sex and age, and the number of patients undergoing two or more examinations and their cumulative doses within multiple time intervals. Results Among medical X-ray diagnostic examinations in the district, the percentages of CT examination and routine photography examination were 50.88% and 47.93%, respectively, and the collective effective dose of CT examination accounted for 97.75%. By age and sex, the frequency of examination was the highest in the age group of 45-54 years, and the frequency of examination in the male was higher than that in the female before age 55. The annual effective dose for two patients exceeded 100 mSv. Conclusion In this study, CT examination accounted for up to 50.88% of all medical X-ray diagnostic examinations, and contributed 97.75% of the collective effective dose, highlighting the need for particular attention to the justification of medical radiation exposure from CT.

Objective To understand the individual radiation dose levels and changes of occupational external exposure among radiation workers in a steel group from 2020 to 2023, and to provide a basis for strengthening radiation protection in the group. Methods According to the Specifications for individual monitoring of occupational external exposure (GBZ 128-2019), individual monitoring was conducted using a thermoluminescent dosimeter, with each monitoring cycle lasting 90 days, totaling four cycles per year. Individual monitoring data of occupational external exposure among radiation workers in the steel group from 2020 to 2023 were collected for statistical analysis. Results A total of 5889 monitoring records were collected from radiation workers across 37 affiliated units of the steel group during the period of 2020-2023. The average annual effective dose was 0.150 mSv, the maximum annual effective dose was 3.84 mSv, and 0.3% monitored workers showed annual effective doses exceeding 1 mSv. The average annual effective dose in 2023 was 0.146 mSv, which was lower than in 2020 but higher than in 2021 and 2022 (Z = −6.657 to 14.129, P < 0.001). The number of monitored workers in industrial and medical sectors accounted for 86.9% and 13.1%, respectively. Their average annual effective doses were 0.152 mSv and 0.140 mSv, respectively, and the difference was statistically significant (Z = −7.969, P < 0.001). In the industrial sector, the average annual effective dose for the monitored workers in industrial radiography was significantly higher than other occupations (Z = −8.094, P < 0.001). There was a significant difference in average annual effective dose among workers of different occupational categories in the medical sector (H = 67.040, P < 0.001). The average annual effective doses were relatively high for diagnostic radiology and nuclear medicine. Additionally, the average annual effective doses for male and female radiation workers were 0.150 mSv and 0.152 mSv, respectively (P > 0.05). Conclusion The average annual effective dose of radiation workers in the steel group was at low levels for four consecutive years, which meet the requirements of the national standard. However, to maintain the individual radiation dose levels of radiation workers as low as reasonably achievable, it remains necessary to strengthen radiation protection management in the steel group.

Metabolic dysfunction-associated steatotic liver disease (MASLD) is the most common chronic liver disease with high global prevalence and long course, which affects more than 30% of the population and seriously endangers human health. Lipid metabolism plays an important role in the occurrence and development of MASLD. An increasing number of studies have shown that active ingredients in traditional Chinese medicine can regulate lipid metabolism to improve MASLD. Due to the obvious advantages of multi-target regulation and fewer side effects, the active ingredients have shown great potential and value for application. However, the pathological mechanism of MASLD is intricate and the active ingredients of traditional Chinese medicine can improve MASLD from multiple aspects, there is currently a lack of systematic discussion on lipid metabolism. Therefore, this review focuses on lipid metabolism and reviews the latest research progress of active ingredients from traditional Chinese medicine in ameliorating MASLD from the aspects of lipid uptake, lipid synthesis, lipid oxidation, lipid secretion, etc., in order to provide more theoretical references for active ingredients of traditional Chinese medicine in regulating lipid metabolism to improve MASLD.

Objective To investigate the impact of the artificial intelligence iterative reconstruction (AIIR) algorithm on image quality in chest computed tomography (CT) at different radiation doses, and assess its value in reducing radiation dose during chest CT examinations. Methods A simulated chest phantom was scanned with 12 groups of tube voltages and milliampere-seconds, and the radiation dose was recorded for each group. The images of each group were reconstructed using seven methods: AIIR with noise levels 1-5, KARL iterative reconstruction, and filtered back projection (FBP). The CT values and standard deviations of soft tissue, thoracic vertebrae, pulmonary nodules, and the mediastinum were measured, with standard deviation representing image noise. Subjective evaluation of image quality was performed. The Friedman test was used to compare CT values among the seven reconstruction groups, a linear mixed model was employed for statistical analysis of image noise, and the Friedman test was also used for comparing subjective evaluation scores. Results The reconstruction algorithm, tube voltage, milliampere-seconds, and their interactions all showed statistically significant effects on image noise for the four tissues (F = 2.041-391.283, P < 0.05). Among the reconstruction algorithms, noise reduction capability decreased in the following order: AIIR levels 1-5, KARL, and FBP. The interaction between the reconstruction algorithm and tube voltage or milliampere-seconds indicated that AIIR exhibited improved noise reduction efficacy under low tube voltage and low milliampere-second conditions (|t| = 1.892-8.245, P < 0.05). In terms of subjective evaluation of image quality, there was no statistically significant difference among AIIR levels 3-5 (|Z| ≤ 0.567, P > 0.05), and the score of AIIR level 3 was significantly higher than those of AIIR level 1, AIIR level 2, FBP, and KARL level 2 (|Z| = 3.449-5.906, P < 0.05). Conclusion The AIIR reconstruction algorithm significantly reduced image noise in chest CT examinations. For improving image quality while maintaining image realism, AIIR level 3 is recommended, which can reduce the radiation dose by more than 75%. Furthermore, AIIR showed superior performance in noise reduction under low tube voltage and low milliampere-second conditions, demonstrating significant potential for reducing radiation dose.

Objective: To investigate the prospective effects of intake of each food group on the development of lung function of pupils,so as to provide theoretical basis for promoting the healthy development of lung function and preventing chronic respiratory diseases in Chinese children. Methods: A cluster stratified sampling method was used to select a total of 893 pupils in grades 2-5 from Chengdu in November 2021. Dietary data of respondents were collected using a food frequency questionnaire within the past year,then the food group intake was categorized into T1, T2 and T3 from low to high by the trichotomous method, and anthropometric measurements including lung capacity were obtained in 2022. Logistic regression models and test for trend were used to analyze the prospective effects of intake of each food group on lung function development of pupils. Results: Among male students, consumption of vegetables [118.6(50.5, 188.2)g/d] and milk and dairy products [200.0(73.3, 250.0)g/d] were higher in the excellent lung capacity group than in the non excellent lung capacity group [90.0(37.1, 192.9), and 178.6(35.7, 250.0)g/d],with statistically significant differences ( Z =-1.98, -2.24); among girls, the group with excellent lung capacity consumed less staple food [391.1(273.6, 511.4)g/d] than the group with non excellent lung capacity [407.4(309.5, 594.3)g/d], and the group with excellent lung capacity consumed more aquatic products [31.2(14.6, 69.8)g/d] and milk and dairy products [215.0(107.1, 250.1) g/d ] than that of the non excellent lung capacity [19.4(10.7, 58.3), 114.3(35.7, 250.0)g/d] ( Z =-2.01, -3.33, -5.10)( P < 0.05 ). After adjusting for energy, body mass index Z score(BMI Z ), mother s education level, averge family income monthly, whether presence of smokers in the living environment, and whether participation in physical activities during the past week, among male students, T3 group of vegetable intake ( OR =0.48, 95% CI = 0.27-0.86), T2 group of bean and soy product intake ( OR = 0.52 , 95% CI =0.27-0.96)，T2 and T3 groups of milk and dairy products intake (T2： OR =0.54, 95% CI =0.31-0.93; T3： OR = 0.52 , 95% CI =0.30-0.90) were negatively associated with non excellent lung capacity ( P <0.05). Among girls, T3 group of aquatic product intake( OR =0.52, 95% CI =0.28-0.97), T2 and T3 groups of milk and dairy product (T2: OR =0.44, 95% CI =0.25- 0.76 ;T3: OR =0.33, 95% CI =0.19-0.59) were negatively associated with nonexcellent lung capacity, whereas the T2 group of red meat intake ( OR =2.51, 95% CI =1.37-4.67) was positively associated with non excellent lung capacity. Non excellent lung capacity was found to be negatively associated with vegetable and milk and dairy product intake in boys by test for trend; in girls, milk and dairy products intake was negatively associated with non excellent lung capacity, whereas red meat intake was positively associated with non excellent lung capacity ( t =-1.13，-0.44；-3.03，1.95, P trend <0.05). Conclusions Milk and dariy products intakes reduce the risk of non excellent lung capacity in pupils, vegetables intakes reduce the risk of non excellent lung capacity in boys, and the intake of red meat increases the risk of non excellent lung capacity in girls. Promoting rational food choices is necessary for children to improve healthy lung development.

BackgroundCompared with absenteeism， health-related productivity loss has a long-lasting negative effect， and poses a greater harm and loss. The health-related productivity loss is mediated by self-efficacy， and perceived social support has been shown to have an impact on health-related productivity loss， whereas the interaction mechanism among the three remains unclear. ObjectiveTo investigate the status of perceived social support， occupational coping self-efficacy and health-related productivity loss among ICU nurses， and to test the mediation role of perceived social support in the relationship between occupational coping self-efficacy and health-related productivity loss. MethodsFrom September to November， 2021， purposive sampling technique was adopted to select 468 ICU nurses in 8 tertiary hospitals in Sichuan Province. Subjects were assessed using self-made general information questionnaire， Perceived Social Support Scale （PSSS）， Occupational Coping Self Efficacy Scale for Nurses （OCSE-N） and Stanford Presenteeism Scale-6 （SPS-6）. Pearson correlation analysis was used to examine the correlation among variables. Amos 24.0 was utilized to test the mediation role of perceived social support in the relationship between occupational coping self-efficacy and health-related productivity loss. ResultsA total of 415 ICU nurses completed the valid questionnaire survey. ICU nurses scored （63.13±11.62） on PSSS， （22.24±6.15） on OCSE-N， and （16.83±4.24） on SPS-6. Health-related productivity loss was detected in 279 ICU nurses （67.23%）. Correlation analysis denoted that PSSS total score was positively correlated with OCSE-N total score （r=0.348， P<0.05）， and negatively correlated with SPS-6 total score （r=-0.274， P<0.05）. OCSE-N total score was negatively correlated with SPS-6 total score （r=-0.421， P<0.05）. The direct effect value of occupational coping self-efficacy on health-related productivity loss was -0.401， and perceived social support showed a mediation role in the relationship between occupational coping self-efficacy and health-related productivity loss （the indirect effect value was -0.052， accounting for 11.48% of the total effect）. ConclusionThe occupational coping self-efficacy of ICU nurses may affect the health-related productivity loss through the action path of perceived social support.［Funded by Scientific Research Project of Sichuan Provincial Health Commission （number， 19PJ042）］

Brain signals refer to electrical signals or metabolic changes that occur as a consequence of brain cell activity.Among the various non-invasive measurement methods,electroencephalogram(EEG)stands out as a widely employed technique,providing valuable insights into brain patterns.The deviations observed in EEG reading serve as indicators of abnormal brain activity,which is associated with neurological diseases.Brain?computer interface(BCI)systems enable the direct extraction and transmission of information from the human brain,facilitating interaction with external devices.Notably,the emergence of artificial intelligence(AI)has had a profound impact on the enhancement of precision and accuracy in BCI technology,thereby broadening the scope of research in this field.AI techniques,encompassing machine learning(ML)and deep learning(DL)models,have demonstrated remarkable success in classifying and predicting various brain diseases.This comprehensive review investigates the application of AI in EEG-based brain disease diagnosis,highlighting advancements in AI algorithms.

In recent years, the high temperature and heatwaves have seriously affected the health of Chinese residents, and there is an important need for public health protection guidelines for high temperature and heatwaves in China. The National Bureau of Disease Control and Prevention has organized experts to fully investigate the evidence from epidemiological research on the health of populations in high temperature and heatwaves globally and in China, analyze the health hazards and protection needs of different populations, and put forward practical and effective individual protection measures and health recommendations. For this reason, the "Guideline for Public Health Protection against High Temperature and Heatwaves" (referred to as the "Guideline") was officially issued in June 2023. This article interprets the background and significance of the Guideline, the principles of compilation, the main considerations, the main contents, the implementations and promotions and other aspects, to improve the understanding of the content of the Guideline and strengthen the publicity and implementations.

Objective To explore whether adiponectin receptor 1/2(AdipoR1/R2)mediates berberine to alleviate renal lipid toxicity in mice with diabetic kidney disease.Methods C57BLKS/J db/db mice and db/m mice were selected and divided into 4 groups,with 8 in each group.db/db mice and db/m mice were given berberine(150 mg·kg-1·d-)or placebo by gavage for 12 weeks,respectively.After intervention,blood glucose,blood lipids,urinary microalbumin/creatinine ratio and urinary albumin excretion rate were determined.Kidney tissues were taken for pathological examination,and oil red O staining,immunohistochemistry,ELISA and Western blotting were used to examine lipid deposition,AdipoRl/R2 expression and fibrosis markers expressions,etc.,respectively.The human glomerular endothelial cell line(HGEC)was used to verify the role of AdipoR1/R2 in berberine alleviating renal lipid toxicity.Results After berberine intervention,the body weight,blood glucose,lipids,proteinuria,renal lipid deposition,and renal pathological changes decreased in db/db mice(P＜0.05);the expressions of AdipoR1 and AdipoR2 increased,expressions of TGF-β1 and Col-Ⅳ decreased,and the expressions of PPAR-α and p-AMPK increased in kidney tissue of db/db mice(P＜0.05).In high-fat cultured HGEC cells treated with berberine-treated db/db mouse serum,the expressions of TGF-β1 and Col-Ⅳ decreased,while the expressions of PPAR-α and p-AMPK increased(P＜0.05);after AdipoR1/R2 on HGEC cells were silenced,the expressions of TGF-β1 and Col-Ⅳ increased,while the expressions of PPAR-α and p-AMPK decreased(P＜0.05).Conclusions Berberine can reduce renal lipid toxicity in diabetic nephropathy mice,and adiponectin receptor may mediate this effect of berberine.