Objective:To determine the optimal number of clusters by joint use of the Elbow Method and Gap Statistic and to classify the scientific research performance of each clinical department in a tertiary general hospital by K-means cluster analysis and analyze the weak points of scientific research in each type of department, and provide targeted measures to enhance the scientific research capability of the department.Methods:Based on the scientific research performance evaluation system of clinical departments in established tertiary general hospitals, the scientific research data from 2017—2021 were substituted into the optimization system to generate quantitative scores, and the number of optimized clusters was derived through the Elbow method and the Gap Statistic algorithm, and the K-means algorithm was applied to achieve departmental hierarchical clustering.Results:The 45 clinical departments were clustered into 4 categories, and the mean of the total research performance scores of all departments was 23.118, with the highest mean score for the management system and the lowest for the research organization platform. Except for the indicator of books of publications, the remaining 15 secondary indicators had good differentiation ( P<0.05). Conclusions:The combined use of the Elbow method and the Gap Statistic algorithm balances computational efficiency with statistical rigor and strengthens the scientific explanatory power of the clustering results. K-means cluster analysis effectively divides the types of departments. It provides a certain reference basis for identifying the strengths and shortcomings of scientific research development in the department, optimizing the allocation of scientific research resources, adjusting the focus of assessment and formulating the development strategy of the discipline.

Objective:To determine the optimal number of clusters by joint use of the Elbow Method and Gap Statistic and to classify the scientific research performance of each clinical department in a tertiary general hospital by K-means cluster analysis and analyze the weak points of scientific research in each type of department, and provide targeted measures to enhance the scientific research capability of the department.Methods:Based on the scientific research performance evaluation system of clinical departments in established tertiary general hospitals, the scientific research data from 2017—2021 were substituted into the optimization system to generate quantitative scores, and the number of optimized clusters was derived through the Elbow method and the Gap Statistic algorithm, and the K-means algorithm was applied to achieve departmental hierarchical clustering.Results:The 45 clinical departments were clustered into 4 categories, and the mean of the total research performance scores of all departments was 23.118, with the highest mean score for the management system and the lowest for the research organization platform. Except for the indicator of books of publications, the remaining 15 secondary indicators had good differentiation ( P<0.05). Conclusions:The combined use of the Elbow method and the Gap Statistic algorithm balances computational efficiency with statistical rigor and strengthens the scientific explanatory power of the clustering results. K-means cluster analysis effectively divides the types of departments. It provides a certain reference basis for identifying the strengths and shortcomings of scientific research development in the department, optimizing the allocation of scientific research resources, adjusting the focus of assessment and formulating the development strategy of the discipline.

Objective Explore the influence of the research professional ethics of in-service medical personnel in a terti-ary hospital in Karamay City on their cognitive integrity in scientific research,as well as the role of research quality awareness in this relationship.Methods Quantitative analysis was used.A total of 269 in-service medical personnel from a tertiary hospital in Karamay City were selected using cluster sampling.SPSS 25.0 and Process 3.5 were used for data processing.Harman's single-factor test was used to analyze whether there was common method bias in the data,and the skewness-kurtosis test was used to as-sess the normal distribution of the data.Pearson correlation analysis and mediation analysis using Process were also conducted.Results The analysis of the data revealed that the correlation coefficient between research professional ethics and research quali-ty awareness and cognitive integrity in scientific research were all 0.301(P＜0.01).Additionally,the correlation coefficient be-tween research quality awareness and cognitive integrity in scientific research was 0.303(P＜0.01).The mediation analysis on the relationship between research professional ethics,research quality awareness,and cognitive integrity in scientific research showed that research professional ethics significantly predicted cognitive integrity in scientific research.Furthermore,even after adding the mediating variable of research quality awareness,research professional ethics still predicted cognitive integrity in scien-tific research.Conclusion There is a significant positive correlation between research professional ethics,research quality aware-ness,and cognitive integrity in scientific research among in-service medical personnel in a tertiary hospital in Karamay city.Re-search quality awareness plays a mediating role between research professional ethics and cognitive integrity in scientific research.

Objective Explore the influence of the research professional ethics of in-service medical personnel in a terti-ary hospital in Karamay City on their cognitive integrity in scientific research,as well as the role of research quality awareness in this relationship.Methods Quantitative analysis was used.A total of 269 in-service medical personnel from a tertiary hospital in Karamay City were selected using cluster sampling.SPSS 25.0 and Process 3.5 were used for data processing.Harman's single-factor test was used to analyze whether there was common method bias in the data,and the skewness-kurtosis test was used to as-sess the normal distribution of the data.Pearson correlation analysis and mediation analysis using Process were also conducted.Results The analysis of the data revealed that the correlation coefficient between research professional ethics and research quali-ty awareness and cognitive integrity in scientific research were all 0.301(P＜0.01).Additionally,the correlation coefficient be-tween research quality awareness and cognitive integrity in scientific research was 0.303(P＜0.01).The mediation analysis on the relationship between research professional ethics,research quality awareness,and cognitive integrity in scientific research showed that research professional ethics significantly predicted cognitive integrity in scientific research.Furthermore,even after adding the mediating variable of research quality awareness,research professional ethics still predicted cognitive integrity in scien-tific research.Conclusion There is a significant positive correlation between research professional ethics,research quality aware-ness,and cognitive integrity in scientific research among in-service medical personnel in a tertiary hospital in Karamay city.Re-search quality awareness plays a mediating role between research professional ethics and cognitive integrity in scientific research.

With the development of metabonomics and modern instrumental analysis and bioinformatics, pharmaco-metabonomics has been rapidly put into the diagnosis and treatment of tumor, with a particularly important role in the evaluation and prediction of efficacy, toxicity and resistance of anti-tumor drugs, indivisualized medication and detection of tumor markers. This paper reviews the concept and methodologies of pharmaco-metabonomics, as well as the latest research advances of pharmaco-metabonomics in the diagnosis and freatment of tumors.

Objective To investigate the reproductive endocrine status of women with epilepsy at childbearing age and to systematically analyze the clinical features of reproductive endocrine disorders,especially polycystic ovarian syndrome (PCOS),to facilitate early detection and timely intervention.Methods In this study,scoring of anthropometry and physical signs,menstrul assessment,examination of sex hormone and pelvic ultrasound in women with epilepsy at childbearing age were performed,and the data such as overweight,central obesity,oligo/amenorrhea,luteinizing hormone (LH)/follicule-stimulating hormone (FSH),hyperandrogenism and polycystic ovary (PCO) were collected. The characteristics of their reproductive endocrine hormone disorders were analyzed statistically. Results The age of these patients was (22. 5 ± 7.0 ) years,and women younger than 30 years old and at their peak fertility accounted for 84. 89%. The prevalence rate of PCOS in women with epilepsy at childbearing age (12. 75% ) was significantly higher than that of ordinary women at childbearing age (7.2%) in China.Highly specific indicators for PCOS were hyperandrogenism (100%),LH/FSH ＞ 2 (93%) and oligo/amenorrhea (90%),whilst the highly sensitive indicators for PCOS were PCO (92%), oligo/amenorrhea (85%) and hyperandrogenism (54%). This study revealed statistically significant difference in LH,LH/FSH and testosterone (T) between PCOS group (LH: (10.24 ± 6.92) IU/L; LH/FSH;(2.20 ± 1.16);T: ( 1.07 ± 0. 35) ng/ml) and non-PCOS group ( LH: (4. 16 ± 2.62 ) IU/L; LH/FSH:( 0. 87 ± 0. 56 );T: (0. 46 ±0. 25) ng/ml,t = -3. 899,-4. 240 and -4. 918 respectively,all P ＜0. 01 ). Conclusions Hormone indices are objective indicators for the diagnosis of PCOS. In clinical practice,attention should be paid to height,weight,abodominal circumference,menstrul history and ultrasound examination of the ovary in women with epilepsy.When reproductive endocrine hormone disorders are suspected from clinical features,the sex hormones (T,LH,and FSH ) should be checked to allow timely detection and early interventions.

[Objective]This study was designed to identify the risk factors related with reproductive endocrinology disorder in Chinese women of child-bearing age with epilepsy.[Methods]The clinical data of 102 women with epilepsy were collected.The patient were grouped according to seven aspects(seizure onset age,seizure type,seizure frequency,duration of epilepsy,AED type,age of start AED therapy and duration of therapy)and the contribution of these factors in development of PCOS and its components were analyzed.[Results]The incidence of hyperandrogenemia in the patients with an early onset age(≤14 years old)was higher than the ones with an onset age＞14 years old.Onset age≤14 was the risk factor of hyperandrogenemia in logistic regression analysis.The incidence of a/oligomenorrhea,polycystic ovaries,hyperandrogenemia and PCOS in the valproate-treated women were 40.63%,50.00%,15.65%,and 34.38%,respectively,which were higher than the no-therapy group and nonvalproate treated group.Valproate therapy was the risk factor of PCOS and its components.[Conclusion]Valproate therapy was the risk factor of PCOS and its components in Chinese women of child-bearing age with epilepsy.Onset age≤14 was the risk factor of hyperandrogenemia.

It was found that Ag nanoparticles (NPs) could enhance the chemiluminescence (CL) intensity of luminol- potassium ferricyanide system. On the basis of enhancement effect,a flow injection method was developed for the determination of terbutaline sulfate. The structure and shape of Ag NPs were characterized by transmission electron microscopy. The UV-Vis absorption spectra and chemiluminescence spectra suggested that new luminophor was not formed after Ag NPs introducing in luminol-potassium ferricyanide chemiluminescence system. A possible mechanism of Ag NPs strengthening on luminol-potassium ferricyanide CL reaction was also discussed. The effect of concentration of luminol,potassium ferricyanide,sodium hydroxide and Ag NPs on CL reaction was investigated respectively. In the optimum conditions,the linear range was 1.0×10~(-9) -2.0 ×10~(-5) g/L(r =0.9935) and the detection limit was 1×10~(-10) g/L. The relative standard deviation (RSD) was 3.6% for 1. 0 ×10~(-6) g/L terbutaline sulfate (n = 11 ). The recommended method has been successfully applied to the determination of terbutaline sulfate tablets and the recovery was between 98. 5% - 102. 5% ,moreover the results were almost identical with the same results of Pharmacopoeia method.