Objective:To analyze the current situation of middle-level cadres in functional departments of scientific research institutes and to construct a job competency model for middle-level cadre.Methods:A cluster random sampling method was used to conduct a questionnaire survey in March 2022 on the satisfaction level of middle-level cadres in the functional departments of the Institute of Blood Transfusion of the Chinese Academy of Medical Sciences,a mid-level cadre competency questionnaire survey was conducted to collect data among functional department personnel of scientific research institutes affiliated to the Chinese Academy of Medical Sciences and Peking Union Medical College.The principal component analysis method was used to extract factors,and the maximum variance rotation method was used to conduct exploratory factor analysis to construct a competency model.Results:The Middle-level cadres in scientific research institutes had problems such as old age,traditional management style,etc.The competency model of middle-level cadres in functional departments of scientific research institutes included 3 main competencies:responsibility taking ability,communication ability and learning execution ability,and 34 competency factors.Conclusion:The competency model of middle-level cadres in functional departments of scientific research institutes can provide basis and reference for the selection and appointment,education and training,performance management and career planning of middle-level cadres in scientific research institutes.

Objective To evaluate the effect of structured therapy and education based on personal strength on ischemic stroke. Methods From March,2021 to September,2023,a total of 114 patients with ischemic stroke from the First People's Hos-pital of Kunshan were randomly divided into control group(n=57)and experimental group(n=57).The control group received routine medicine,rehabilitation training and standard health education,while the experimental group received routine medicine,rehabilitation training and structured therapy and education based on personal strength,for six weeks.They were compared with the scores of modified Rankin Scale(mRS),motor-evoked po-tential(MEP)latency and amplitude,modified Barthel Index and Self-Recovery Efficacy Scale score and recur-rence within three months after the start of the study.The scores of Morisky Medication Adherence Scale(MMAS)and Five Facet Mindfulness Questionaire(FFMQ)were also compared. Results After treatment,the score of mRS(t=5.002),MEP latency period(t=9.739)and amplitude(t=4.394),modi-fied Barthel Index(t=11.261),the score of Self-Recovery Efficacy Scale(Z=-2.638),and the scores of MMAS(t=19.521)and FFMQ(t=15.381)were better in the experimental group than in the control group(P<0.05). Conclusion Structured therapy and education based on personal strength could faciliate to improve the recovery and self-management of ischemic stroke patients.

Objective To explore the feasibility of radiomics features combined with different machine learning methods based on CT scans to predict lymphovascular and perineural invasion in patient with gastric cancer.Methods A total of 142 patients with gas-tric cancer lymphovascular confirmed by operative pathological examination were retrospectively selected.Among all patients,there were 96 positive cases and 46 negative cases.Among 137 patients with perineural invasion,there were 76 positive cases and 61 nega-tive cases.The 3D-Slicer package was used for delineation,and the Pyradiomics package was used to extract radiomics features.All data were randomly divided into training set and test set in an 8∶2 ratio.Intraclass correlation coefficient(ICC),Pearson correla-tion analysis,least absolute shrinkage and selection operator(LASSO)algorithm were used for feature selection.Support vector machine(SVM),K-nearest neighbor(KNN),decision tree(DT),random forest(RF),extreme tree(ET),extreme gradient boosting(XGBoost),and LightGBM were used to compare the models of lymphovascular and perineural invasion,respectively.Receiver operating characteris-tic(ROC)curve and area under the curve(AUC)were used to evaluate the predictive performance of these models.Results The lymphovascular group AUC of SVM,KNN,DT,RF,ET,XGBoost,and LightGBM in the training set were 0.926,0.753,1.000,0.999,1.000,1.000,and 0.917,and the AUC in the test set were 0.894,0.692,0.456,0.678,0.753,0.650,and 0.650,respectively.The perineural invasion group AUC of SVM,KNN,DT,RF,ET,XGBoost,and LightGBM in the training set were 0.864,0.794,1.000,1.000,1.000,1.000,and 0.866,and the AUC in the test set were 0.861,0.706,0.700,0.672,0.731,0.667,and 0.678,respectively.Conclusion Based on venous phase CT radiomics features combined with machine learning methods,it is feasible to predict lymphovascu-lar and perineural invasion of gastric cancer preoperatively.Among the variousmachine learning methods,SVM shows the best predictive performance for lymphovascular and perineural invasion in patient with gastric cancer.

In order to obtain a cell line which high expressed of rabies virus glycoprotein the produc-tion of rabies subunit vaccine,the RABV glycoprotein gene sequence was amplified by RT-PCR and cloned into the lentiviral expression vector.The recombinant plasmid pLV-RVG,envelope plasmid pMD2.0G and packaging plasmid psPAX2 were co-transfected into HEK-293T cells to harvest lentivirus and infect new HEK-293T cells.The 293T-RVG cell line was obtained by puro-mycin pressure screening.Indirect immunofluorescence assay(IFA)and Western blot showed that the 67 kD RABV-G protein was highly expressed in the cells.The neutralizing antibody titer reached 2.19 IU/mL within 14 days after immunization,which was higher than the internationally recognized protection threshold(0.5 IU/mL).This study showed that the cell line 293T-RVG with stable and high expression of rabies virus glycoprotein was successfully constructed.The cell line could protect mice against rabies virus challenge and could be used as a subunit vaccine with poten-tial for large-scale production and application.

Objective To grasp the main environmental factors affecting the growth of Astragalus membranaceus(Fisch.)Bge.var.mongholicus(Bge.)Hsiao;To predict the distribution of suitable areas of Astragalus membranaceus(Fisch.)Bge.var.mongholicus(Bge.)Hsiao in Shanxi Province;To provide references for the rational distribution of the resources in Shanxi Province.Methods This study utilized the sample point longitude and latitude information collected in the"Fourth Survey of Chinese Materia Medica Resources"database in Shanxi Province.The data were supplemented by searching the China Digital Herbarium and retrieving related literature records.347 sample points distribution data and environmental factors were added to the MaxEnt model.The main environmental factors and contribution rates affecting the geographical distribution of Astragalus membranaceus(Fisch.)Bge.var.mongholicus(Bge.)Hsiao were screened out.The ArcGIS software was used to divide the ecological suitable area of Astragalus membranaceus(Fisch.)Bge.var.mongholicus(Bge.)Hsiao in Shanxi Province.Results The area under the ROC curve of the established MaxEnt model was 0.909,indicating that the model prediction results were accurate.The model screened 19 environmental factors.Among them,climate factor was the most important environmental factor,followed by biological factor and topographic factor,and soil factor had the least influence.The potential suitable areas of Astragalus membranaceus(Fisch.)Bge.var.mongholicus(Bge.)Hsiao in Shanxi Province were mainly distributed in the northern mountainous areas,presenting a trend of gradually decreasing suitability levels from north to south.Under the current climate conditions,the most suitable area for Astragalus membranaceus(Fisch.)Bge.var.mongholicus(Bge.)Hsiao in Shanxi Province was 15 424 km2,the suitable area was 19 856 km2,the sub suitable area was 59 436 km2,and the unsuitable area was 61 894 km2.Conclusion Based on MaxEnt model and ArcGIS software,this study predicts the distribution of suitable areas of Astragalus membranaceus(Fisch.)Bge.var.mongholicus(Bge.)Hsiao in Shanxi Province,which has certain reference value for the protection and rational distribution of Astragalus membranaceus(Fisch.)Bge.var.mongholicus(Bge.)Hsiao resources in Shanxi Province.

Background Experimental studies have shown that radiofrequency electromagnetic waves emitted by mobile phones can cause adverse effects on male reproductive health, including decreased semen quality and altered sex hormones. However, the results of epidemiological studies on the relationship between mobile phone use and male semen quality are inconsistent. Furthermore, there are few epidemiological studies on the association of mobile phone use with sex hormones. Objective To explore the associations of mobile phone use with male semen quality and sex hormones. Methods A total of 2045 men visited the reproductive medicine center of a hospital in Wuhan and ordered infertility examination were recruited from December 2018 to January 2020. Information on mobile phone use was obtained using a questionnaire. Among them, 1232 and 1694 men were eligible for semen quality analyses and sex hormone analyses, respectively. Multiple linear and logistic regression models were used to analyze the associations of mobile phone use with male semen quality and sex hormones. Results After adjusting for potential confounders, there was no statistically significant associations of mobile phone use with sperm progressive motility, sperm total motility, sperm concentration, sperm count, or serum luteinizing hormone (P>0.05). However, serum total testosterone showed a declined tendency with increasing daily duration of mobile phone use (P_trend=0.08). Compared with men with daily mobile phone use of 0-2 h, men with daily mobile phone use of 2.1-5, 5.1-8, and >8 h showed decreased serum total testosterone concentrations by 6.29% (95%CI: 0.40%-11.84%), 6.01% (95%CI: 0.60%-12.19%), and 7.87% (95%CI: 0.40%-14.79%), respectively. Conclusion Mobile phone use is not associated with male semen quality and serum luteinizing hormone, but increasing daily duration of mobile phone use is potentially associated with a tendency to lower male serum total testosterone.

Objective:To establish a mortality risk prediction model of severe bacterial infection in children and compare it with the pediatric early warning score (PEWS), pediatric critical illness score (PCIS) and pediatric risk of mortality score Ⅲ (PRISM Ⅲ).Methods:A total of 178 critically ill children were selected from the PICU of the Children's Hospital of Nanjing Medical University from May 2017 to June 2022. After obtaining the informed consent of the parents/guardians, basic information such as sex, age, height and weight, as well as indicators such as heart rate, systolic blood pressure and respiratory rate were collected from all children. A standard questionnaire was used to score the child 24 h after admission to the PICU. The children were divided into the survival and death groups according to their survival status at 28 d after admission. A mortality risk prediction model was constructed and nomogram was drawn. The value of the mortality risk prediction model, PEWS, PCIS and PRISM in predicting the risk of death was assessed and compared using the receiver operating characteristic (ROC) curve and the area under the ROC curve (AUC).Results:Among the 178 critically ill children, 11 cases were excluded due to severe data deficiencies and hospitalization not exceeding 24 h. A total of 167 children were included in the analysis, including 134 in the survival group and 33 in the death group. A mortality risk prediction model for children with severe bacterial infection was constructed using pupillary changes, state of consciousness, skin color, mechanical ventilation, total cholesterol and prothrombin time. ROC curve analysis showed that the AUCs of mortality risk prediction model was 0.888 ( P<0.05). The AUCs of PEWS, PCIS and PRISM Ⅲ in predicting death in children with severe bacterial infection were 0.769 ( P< 0.05), 0.575 ( P< 0.05) and 0.759 ( P< 0.05), respectively. Hosmer-Lemeshow goodness-of-fit test showed the best agreement between risk of death and PEWS predicted morbidity and mortality and actual morbidity and mortality (χ 2 = 5.180, P = 0.738; χ 2 = 4.939, P = 0.764), and the PCIS and PRISM Ⅲ predicted mortality rates fitted reasonably well with actual mortality rates (χ 2= 9.110, P= 0333; χ 2 = 8.943, P= 0.347). Conclusions:The mortality risk prediction model for predicting the death risk has better prognostic value than PEWS, PCIS and PRISM Ⅲ for children with severe bacterial infection.

OBJECTIVE Parkinson's disease(PD)is a progressive neurodegenerative disease clinically char-acterized by dyskinesia,tremor,rigidity,abnormal gait,whereas 90%of patients with PD suffer from defects of the sense of smell before the appearance of the motor dysfunctions.However,the mechanism of olfactory disor-der is still not clear.METHODS We utilized olfaction based delayed paired association task in head-fixed mice.We focused on functional role of neural circuit using opto-genetic techniques.In addition,we viewed the synaptic transmission by slice physiological recording and count-ed the cell number of targeted circuits.RESULTS AND CONCLUSION In our experiments,olfactory working memory impairments were found in the PD mice,and the working memory impairment appeared before motor dys-functions.Furthermore,we also investigated the functional role of neural circuit for olfactory working memory in PD mice.Meanwhile,the excitatory post synaptic currents were decreased as a result of presynaptic release proba-bility suppression in PD mice.However cell loss wasn't found in working memory related circuit recently.These will provide a new idea of clinic diagnosis for PD.

Epidermal growth factor receptor (EGFR) mutations are the most common driver genes in the development of non-small cell lung cancer (NSCLC), of which mutations in exons 18-21 are frequent, especially the loss of exon 19 and exon 21 L858R mutation are the most frequent. Other rare gene mutations are rare. Simultaneous occurrence of two or more rare EGFR mutations are extremely rare in lung cancer, and the incidence of EGFR L833V/H835L rare gene compound mutations is very low, and there is little clinical data and evidence of relevant treatment methods. Some EGFR-tyrosine kinase inhibitors (EGFR-TKIs) are effective in treating lung cancer patients with rare gene mutations. In this article, we reported a case of NSCLC patient with a rare gene compound mutation EGFR L833V/H835L, who responded to Afatinib in combination with Anilotinib treatment well after 5 months of treatment, and computed tomography (CT) showed shrinkage of lung lesions. Meanwhile, we also compiled previously reported NSCLC patients with EGFR L833V/H835L rare gene compound mutation and summarized the characteristics of this group of patients and the effect of applying different kinds of EGFR-TKIs treatment.
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Humans ; Adenocarcinoma of Lung/genetics* ; Carcinoma, Non-Small-Cell Lung/pathology* ; ErbB Receptors/genetics* ; Lung Neoplasms/pathology* ; Mutation ; Protein Kinase Inhibitors/therapeutic use*

Autologous serum skin test (ASST) is commonly used as a screening test to assess immune subtypes of chronic spontaneous urticaria (CSU) in clinical practice, but its immunological mechanisms and associations with clinical features and prognosis of CSU are not yet clear. Studies have shown that positive ASST is associated with increased immunoglobulin G autoantibodies, decreased eosinophil and basophil counts, increased CD63 expression on basophils, and changes in circulating inflammatory cytokine levels in CSU patients, but not associated with age, disease duration, and personal or family history of CSU patients, and may be a predictor of severity of chronic urticaria. ASST-positive patients may respond poorly to second-generation H1 antihistamines, slowly to omalizumab, but respond well to cyclosporine and autologous whole blood/serum injections. This review summarizes the immunological and clinical characteristics of ASST-positive patients, and discusses the predictive value of positive ASST for the efficacy of different treatment regimens.