Objective To investigate the levels of gross α and gross β activities in different water types within a 40-kilometer radius around the Zhangzhou Nuclear Power Plant prior to its operation. Methods In 2018, drinking water samples were collected from the area surrounding the nuclear power plant during both the wet and dry seasons, including source water, treated water, tap water, and well water. The gross α and gross β activity concentrations were measured using a low-background α/β counter, followed by statistical analysis. Results A total of 80 water samples from different sources around the Zhangzhou Nuclear Power Plant were collected. The average gross α and gross β activity concentrations during the wet season were (0.110 ± 0.036) Bq/L and (0.643 ± 0.028) Bq/L, respectively, while those during the dry season were (0.124 ± 0.032) Bq/L and (0.624 ± 0.026) Bq/L, respectively. There were no significant differences in the gross α and gross β activity concentrations between the wet and dry seasons for the overall sample set (P > 0.05). However, there were statistically significant differences in the gross α and gross β activity concentrations between the wet and dry seasons for source water and well water (Z_wet = −2.005, −2.123; Z_dry = −1.943, −3.090; P < 0.05). Conclusion The radioactivity levels in different water types within various ranges around the Zhangzhou Nuclear Power Plant before its operation were determined. The measured activity concentrations were at the same level as those from previous investigations in other regions of Fujian Province.

Objective:To investigate the incidence characteristics and influencing factors of non-alcoholic fatty liver disease (NAFLD) in rural Uyghur ethnic group residents in Xinjiang Production and Construction Corps and to provide scientific evidence for early identification and prevention of NAFLD for residents.Methods:A total of 10 158 participants were included from the Xinjiang Uygur ethnic group population cohort. A prospective cohort study and Cox proportional hazards regression model analysis were used to explore the influencing factors and clustering of NAFLD, and the dose-response relationship between related biochemical indicators and the risk of NAFLD was studied using a restricted cubic spline.Results:The cumulative incidence rate of NAFLD was 6.9%, and the incidence density of NAFLD was 12.06/1 000 person-years. The incidence density of NAFLD in females was higher than in males (14.72/1 000 person-years vs. 9.17/1 000 person-years, P<0.001). The incidence density of NAFLD gradually increased with age in the total population, both men and women (all P<0.001). In the general population, an education level of junior high school or above was a protective factor for NAFLD, while older age, divorce, widowhood, overweight, obesity, hypertension, increased glomerular filtration rate, decreased HDL-C, increased LDL-C, and increased ALT were risk factors for NAFLD. Estimated glomerular filtration rate (eGFR), HDL-C, LDL-C, and ALT were non-linearly correlated with the incidence of NAFLD, and there was a significant dose-response relationship between them. Only 19.1% of residents had no NAFLD risk factors; over 80.9% had ≥1 NAFLD risk factors. The risk of NAFLD increased with the number of risk factors. Conclusions:The incidence of NAFLD in rural Uygur ethnic group residents in Xinjiang Production and Construction Corps was relatively low, but most residents had one or more risk factors for NAFLD. Prevention and control of NAFLD in this population cannot be ignored. In addition, people of older age, divorced or widowed, low education level, overweight or obese, hypertension, and abnormal eGFR, HDL-C, LDL-C, and ALT were the high-risk groups of NAFLD that need to be paid attention to in this population.

Objective To investigate the radioactivity levels of gross α and gross β in foods around Zhangzhou nuclear power plant, China before operation. Methods Forty-nine samples from 33 kinds of foods in 5 categories of daily food around Zhangzhou nuclear power plant were collected, pretreated, dried, and ashed. The radioactivity levels of gross α and gross β were measured by the low-background α and β measuring instrument. The atomic absorption technique was employed to measure the level of potassium (K), and the radioactivity level of gross β (subtracting ⁴⁰K) was calculated with K concentrations in different foods consulted from the nutritional dietary system. Results The radioactivity levels of gross α in vegetables and fruits, grain, poultry and livestock, aquatic products, and tea around Zhangzhou nuclear power plant were < minimum detectable level (MDL)-7.97, < MDL-6.82, < MDL, < MDL-20.76, and 11.90-23.08 Bq/kg, respectively; the radioactivity levels of gross β were 34.56-122.81, 13.05-188.96, 56.00-108.34, 17.86-169.01, and 123.74-171.63 Bq/kg, respectively; the radioactivity levels of gross β (subtracting ⁴⁰K) were not detected (ND)-14.27, ND-27.86, ND-48.72, ND-45.85, and 6.69-13.79 Bq/kg, respectively. Conclusion The radioactivity of gross α and gross β in foods around Zhangzhou nuclear power plant before operation is basically at the same level as that in other areas of China.

BACKGROUND:The preoperative planning of traditional X-ray films is often inaccurate,which can lead to some intraoperative and postoperative complications,increase the operation time and intraoperative blood loss,and to some extent affect the surgical outcome of total hip arthroplasty. OBJECTIVE:To investigate the accuracy and effectiveness of artificial intelligence preoperative planning in total hip arthroplasty. METHODS:Sixty patients who underwent primary total hip arthroplasty on the affected side were selected.30 of them used artificial intelligence 3D preoperative planning(trial group)and 30 used conventional X-ray film 2D preoperative planning(control group),and there were no statistically significant differences between the two groups in terms of gender,age,condition and other general data(P>0.05).The actual intraoperative prosthesis placement and preoperative planning prosthesis matching,intraoperative operation time,intraoperative blood loss,bilateral femoral eccentric distance difference,bilateral joint eccentric distance difference and bilateral lower limb length difference,and Harris score at 3 months after operation were compared between the two groups,and the accuracy and application effect of the two preoperative plans were analyzed. RESULTS AND CONCLUSION:(1)Patients in both groups were followed up for 4-6 months postoperatively.One patient in the control group had a posterior dislocation of the prosthesis at 5 days postoperatively,which recovered after performing manual repositioning without re-dislodgement.The rest of the patients did not have postoperative complications or postoperative death.(2)Complete matching rate of the prosthesis on the acetabular side and femoral side was significantly better in the trial group than that in the control group(P<0.05).(3)Operation time and intraoperative blood loss were significantly less in the trial group than those in the control group(P<0.05).(4)The difference in bilateral lower limb length between the two groups was statistically significant(P<0.05),and the difference in bilateral femoral eccentric distance and bilateral joint eccentric distance was not statistically significant(P>0.05).(5)Harris score of patients in the trial group was significantly higher than that in the control group 3 months after operation(P<0.05).(6)These results confirm that compared with traditional film planning,artificial intelligence preoperative planning can predict the prosthesis type more accurately,shorten the operation time,reduce intraoperative blood loss,diminish the occurrence of postoperative bilateral lower limb inequality,and accelerate postoperative recovery.

This paper examines the integration of Confucian ethics into modern nursing practice and its implications,offering a review of the book Contemporary Medicine and Confucian Thought by Professor Fan Ruiping.The book addresses six key topics:medical decision-making,healthcare systems,medical technology,organ transplantation,mental health,and elderly care.It highlights the conflicts between individual autonomy emphasized in Western ethics and the family-centered approach of Confucianism,especially in clinical decision-making.Through case studies and ethical discussions,the book suggests integrating Confucian ethics with modern medical systems to balance personal and familial interests in patient care.From the perspective of nursing,this review emphasizes the relevance of Confucian principles such as family-centered care,the integration of moral emotions like benevolence and respect,and the importance of developing culturally appropriate ethical models for clinical decision-making.It calls for a paradigm shift in nursing education and practice toward a family-centered approach,promoting harmony between individual and collective needs.Additionally,it discusses the challenges and opportunities for integrating Confucian ethics into cross-cultural nursing in a globalized healthcare environment.The review concludes that Confucian ethics can provide valuable insights into the development of more humanistic and ethically sound nursing practices,particularly in the context of a rapidly evolving medical landscape.

Objective:To analyze whether triglyceride-glucose (TyG) index is associated with increased risk of cardiovascular diseases (CVD) and the value of TyG index in predicting CVD risk among Kazakh and Uighur population of Xinjiang.Methods:In this study, 5 375 Kazakh and Uygur people of Xinyuan county and Jiashi county were selected as the research objects. Subjects were divided into four groups based on the quartile of the TyG index level. Cox regression model was used to analyze the association between TyG index with the risk of CVD. The dose-response relationship between TyG index and CVD risk was described by restricted cubic splines. The area under the receiver operating characteristic curve, net reclassification improvement (NRI), and integrated discrimination improvement (IDI) were used to estimate the value of TyG index for predicting CVD. Mediating effect analysis was conducted to analyze the mediating effect of TyG index in the association between body mass index and CVD.Results:The age of subjects was 41.06（30.11，53.00）years old, with 46.30%（2 489/5 375）was male. After multivariate adjustment, there was an increasing trend between the risk of CVD and the higher TyG index Ptrend<0.001, compared with subjects of TyG index in Q1, the HR (95% CI) of Q2, Q3, and Q4 groups was 1.53, 1.23 and 1.73, respectively. Restricted cubic splines showed that TyG index was the linearly associated with the risk of CVD. TyG index could improve the prediction ability of Framingham model for the risk of CVD (NRI=0.106, P=0.010; IDI=0.003, P=0.030). The mediating effect analysis showed that in the relationship between body mass index and CVD, the TyG index had a mediating effect ( P<0.001), and the ratio of mediating effect was 12.69%. Conclusion:TyG index is an independent predictor of CVD risk among kazakh and Uygur population in Xinjiang and has a good predictive value for the risk of CVD.

Objective:To analyze whether triglyceride-glucose (TyG) index is associated with increased risk of cardiovascular diseases (CVD) and the value of TyG index in predicting CVD risk among Kazakh and Uighur population of Xinjiang.Methods:In this study, 5 375 Kazakh and Uygur people of Xinyuan county and Jiashi county were selected as the research objects. Subjects were divided into four groups based on the quartile of the TyG index level. Cox regression model was used to analyze the association between TyG index with the risk of CVD. The dose-response relationship between TyG index and CVD risk was described by restricted cubic splines. The area under the receiver operating characteristic curve, net reclassification improvement (NRI), and integrated discrimination improvement (IDI) were used to estimate the value of TyG index for predicting CVD. Mediating effect analysis was conducted to analyze the mediating effect of TyG index in the association between body mass index and CVD.Results:The age of subjects was 41.06（30.11，53.00）years old, with 46.30%（2 489/5 375）was male. After multivariate adjustment, there was an increasing trend between the risk of CVD and the higher TyG index Ptrend<0.001, compared with subjects of TyG index in Q1, the HR (95% CI) of Q2, Q3, and Q4 groups was 1.53, 1.23 and 1.73, respectively. Restricted cubic splines showed that TyG index was the linearly associated with the risk of CVD. TyG index could improve the prediction ability of Framingham model for the risk of CVD (NRI=0.106, P=0.010; IDI=0.003, P=0.030). The mediating effect analysis showed that in the relationship between body mass index and CVD, the TyG index had a mediating effect ( P<0.001), and the ratio of mediating effect was 12.69%. Conclusion:TyG index is an independent predictor of CVD risk among kazakh and Uygur population in Xinjiang and has a good predictive value for the risk of CVD.

Objective:To investigate the ultrasonographic features and evolution of thyroid shrinking nodules in order to improve the differential diagnosis and management strategy and avoid unnecessary biopsy.Methods:A total of 245 patients with old bleeding of benign thyroid nodules diagnosed via fine needle aspiration cytology (FNAC) from May 2015 to July 2020 in the southern part of the Shanghai General Hospital Affiliated to the Medical College of Shanghai Jiaotong University, including 263 nodules. The sonographic parameters such as size, shape, aspect ratio, echo, edge, boundary, periphery, halo, calcification, posterior echo enhancement and posterior acoustic attenuation of nodules were analyzed retrospectively, and the ultrasonic appearances of nodules were classified; 41 nodules from 40 patients, who did ultrasound examinations more than twice and had both complete ultrasonographic data, were compared and then classified in order to explore the evolution rules of the nodules.Results:Two hundred and sixty-three thyroid shrinking nodules in 245 cases were classified into 4 types: "cystic wall shrinkage sign" type(71.48%, 188/263), "carcinoma-like" type (22.05%, 58/263), "inflammation-like" type(3.04%, 8/263) and "undefined atypical solid nodules" type(3.42%, 9/263). Of the 41 consecutive follow-up nodules, 37 cases showed obvious cystic wall shrinkage sign, and 7 of them developed into "carcinoma-like" type and 6 cases into "inflammation-like" type.Conclusions:The ultrasonographic appearance of thyroid shrinking nodules is a dynamic process, which can be divided into 4 types: "cystic wall shrinkage sign" , "carcinoma-like" , "inflammation-like" and "undefined atypical solid nodules" types. The "cystic wall shrinkage sign" type is typical and common. The "cystic wall shrinkage sign" type can develope into the "carcinoma-like" type or the "inflammation-like" type.

Objective: To construct and confirm a predictive model for the risks of cardiovascular diseases (CVD) with metabolic syndrome (MS) and its factors in Xinjiang Kazakh population. Methods: A total of 2 286 Kazakh individuals were followed for 5 years from 2010 to 2012 as baseline survey. They were recruited in Xinyuan county, Yili city, Xinjiang. CVD cases were identified via medical records of the local hospitals in 2013, 2016 and 2017, respectively. Factor analysis was performed on 706 MS patients at baseline, and main factors, age, and sex were extracted from 18 medical examination indexs to construct a predictive model of CVD risk. After excluding the subjects with CVD at baseline and incomplete data, 2007 were used as internal validation, and 219 Kazakhs in Halabra Township were used as external validation. Logistic regression discriminations were used for internal validation and external validation, as well as to calculate the probability of CVD for each participant and receiver operating characteristic curves. Results: The prevalence of MS in Kazakh was 30.88%. Seven main factors were extracted from the Kazakh MS population, namely obesity factor, blood lipid and blood glucose factor, liver function factor, blood lipid factor, renal metabolic factor, blood pressure factor, and liver enzyme factor. The area under the curve (AUC) for predicting CVD in the internal validation was 0.773 (95%CI 0.754-0.792). In the external validation, the AUC for predicting CVD was 0.858 (95%CI 0.805-0.901). Conclusions The CVD risk prediction model constructed by 7 main factors extracted from Kazakh MS patients has high validation efficiency and can be used for risk assessment of CVD in Xinjiang Kazakh population.

Objective: To compare metabolic syndrome(MS)with Framingham risk score as predictors of cardiovascular disease(CVD)among Kazakhs population. Methods: The participants were the residents who had been followed up for more than 5 years in representative areas of Kazakhs in Xinjiang. We assigned MS a continuous risk score for predicting the development of CVD based on the weights of MS components. MS and Framingham risk score were compared in terms of their ability in predicting years in representative areas of Kazakhs in Xinjiang. We assigned MS a continuous risk score for predicting the development of CVD based on the weights of MS components. MS and Framingham risk score were compared in terms of their ability in predicting development of CVD using Cox regression and receiver operating characteristic curve. Results: The incidence of CVD was 13.87%. The incidence of CVD was higher in the MS group than it in the non-MS group(21.59% vs 11.10%, P<0.001). The area under the receiver operating characteristic(ROC)curve of MS risk score was significantly larger than that of MS classification(0.727 vs 0.585, P<0.001); the area under the curve of MS risk score was close to that of Framingham risk score(0.732 vs 0.727, P=0.673). The association between CVD and each quintile of MS risk score was more significant than that between Framingham risk score and CVD under the same exposed condition(4.61, 9.33, 14.15, 22.29 vs 3.69, 6.36, 8.47, 16.99). Conclusion MS risk score that included age may be a better predictor of CVD among Kazakhs population.