Strengthening the construction of teaching staff is the urgent need for ensuring the quality of education in General Practice (GP), cultivating high-quality talents as well as promoting the comprehensive and healthy development of the GP education. According to the analysis of current do-mestic and foreign teachers, the comparison of teachers' training mode and drawing lessons from for-eign experience of cultivating teachers, the suitable training mode of Chinese situation was explored, putting forward the thinking of the culture and construction of general medicine teachers by deepening the reform of medical education and the comprehensive reform of the medical and health system.

It was introduced in this paper the concrete measures of medical humanistic education which is in harmony with the teaching of human parasitology. The necessity of humanistic education for the medical students in the present age and the feasibility of humanistic education in basic medical education were discussed according to the feedback on the survey of the medical students. This study aimed to explore an ideal teaching model for medical humanistic education and comprehensively improve the humanistic accomplishment in medical students.

Objective The staffs of biosafety level 3 laboratories (BSL-3) face with the stress of handling highly pathogenic microbs and special laboratory environment.The job stress may result in accidents in the laboratory as negative factor for the risk control.The research may provide support for the control of risk in biosafety laboratories.Methods In order to assess the job stress in the staff in BSL-3 laboratory, we modified “the Chinese simple job stress questionnaire”based on the theory of the JDC mode and ERI mode, and an investigation was carried out.The present study included the staffs (87 employees) from six BSL-3 laboratories located in five provinces ( Shanghai, Zhejiang, Jiangsu, Fujian and Wuhan) .Results Analysis of the data indicates that variables of age, working years, job duties, manipulating of animals, type of microorganisms and transmission route have a significant influence on the level of job stress in BSL-3 laboratory.Conclusion The BSL-3 laboratory staff in higher stress level have the characteristicses:20-39 years old, short work years, regular staff, operating on air-borne microbiology, manipulating of animals and operating on one more microbiology.

Objective:To summarize the clinical and imaging presentations of stapical footplate hernia related to inner ear malformation (SFH-Re-IEM).Methods:The clinical and imaging data of 19 patients (24 ears) with SFH-Re-IEM from Shandong Provincial ENT Hospital between June 2014 to June 2022 were retrospectively analyzed. The clinical presentations and headache and the high resolution CT (HRCT) and MRI findings including associated inner ear malformation (IEM) type, internal auditory canal (IAC) malformation, bony defect of the stapical footplate, the extent, margin, density and signal of the herniation cysts, the density and signal of ipsilateral intratympanic, cochlear osseous labyrinthitis were recorded.Results:Among 19 SFH-Re-IEM patients, including 14 males and 5 females, 3 (1, 12) years old. All of the affected ears presented sensorineural or mixed hearing loss, 1 ear for moderate, 7 ears for severe and 16 ears for extremely severe. Besides this, the vertigo in 1 case, otalgia and ear fullness in 2 cases were found, and the others were detected accidentally. Among 24 ears with SFH-Re-IEM, 9 ears (37.5%) consisting with incomplete partition type Ⅰ, 3 ears (12.5%) with common cavity, 7 ears (29.2%) with cochlear aplasia, 3 ears (12.5%) with cochlear dysplasia type Ⅱ, and 2 ears (8.3%) with Mondini deformity were found respectively. Four ears (16.7%) were associated with IAC enlargement and the bony defect of IAC fundus, 19 ears (79.2%) were accompanied with dysplasia in the IAC fundus. In all the 24 ears with SFH-Re-IEM, the focal bony defect of the affected stapical footplate and the hemispherical soft-tissue-density herniating cysts protruding into the tympanium were presented on HRCT, and the herniating cysts presenting the cerebrospinal fluid-like signal with the well-defined margin and the ipsilateral normal tympanium were shown on the MRI hydrographic sequence. Two ears underwent the perilymphaticum gadolinium based on MRI, which demonstrated the hypersignal gadolinium in the perilymphatic space entered into the herniating cysts. Two ears were accompanied with the cochlear osseous labyrinthitis.Conclusion:The ears with IEM-Re-SFH usually present the serious hearing loss. The ipsilateral severe IEM, focal bony defect of the stapical footplate and perilymph herniating are characteristic imaging appearances.

OBJECTIVE: To identify potential mutations of F11 gene in a pedigree affected with hereditary coagulation factor XI (FXI) deficiency and explore its molecular pathogenesis. METHODS: Prothrombin time (PT), activated partial thromboplastin time (APTT), fibrinogen (FIB), coagulation factor VIII activity (FVIIIC), coagulation factor IX activity (FIXC), coagulation factor XI activity (FXIC), coagulation factor XII activity (FXIIC) and lupus anticoagulation (LA) of the proband and eight family members were determined. FXI antigen (FXIAg) was determined by enzyme-linked immunosorbent assay (ELISA). For the proband, potential mutations in the exons, flanking introns and 5'-, 3'-untranslated regions of the F11 gene were screened by direct DNA sequencing. The results were confirmed by reverse sequencing. Suspected mutations were detected in other family members. ClustalX-2.1-win and four online bioinformatic tools (PolyPhen-2, PROVEAN, SIFT, and Mutation Taster) were used to study the conservation and possible impact of the mutations. The structure of the mutational sites was processed with Swiss-PdbViewer. RESULTS: The propositus had prolonged APTT (69.6 s), whose FXIC and FXIAg were reduced to 6.0% and 10.7%, respectively. Her mother, elder sister, one younger sister, little brother, daughter and son showed slightly prolonged APTT and moderate FXIC and FXIAg levels. Gene sequencing revealed that the propositus carried a heterozygous nonsense mutation c.738G>A (p.Trp228stop) in exon 7 and a heterozygous mutation c.1556G>C (p.Trp501Ser) in exon 13. Her mother, elder sister and daughter were heterozygous for the p.Trp228stop mutation, while one younger sister and little brother and son were heterozygous for p.Trp501Ser. Her husband and the youngest sister were of the wild type. Phylogenetic analysis suggested that Trp501 was highly conserved among all homologous species. The p.Trp501Ser was predicted to be "probably damaging","deleterious", "affect protein function" and "disease causing" corresponding to PolyPhen-2, PROVEAN, SIFT and Mutation Taster. Model analysis demonstrated that the non-polar Trp501 has two benzene rings, forming a hydrogen bond with Gln512 in the wild type. Once substituted by Ser501, the side chain may form another hydrogen bond with the benzene of His396. This may affect the normal space conformation and stability of FXI protein. CONCLUSION The compound heterozygous mutations of the F11 gene probably accounted for the low FXI concentration in this pedigree.
Factor XI ; genetics ; Factor XI Deficiency ; genetics ; Female ; Heterozygote ; Humans ; Male ; Mutation ; Pedigree ; Phylogeny

Objective    To explore the application value of machine learning models in predicting postoperative survival of patients with thoracic squamous esophageal cancer. Methods    The clinical data of 369 patients with thoracic esophageal squamous carcinoma who underwent radical esophageal cancer surgery at the Department of Thoracic Surgery of Northern Jiangsu People's Hospital from January 2014 to September 2015 were retrospectively analyzed. There were 279 (75.6%) males and 90 (24.4%) females aged 41-78 years. The patients were randomly divided into a training set (259 patients) and a test set (110 patients) with a ratio of 7 : 3. Variable screening was performed by selecting the best subset of features. Six machine learning models were constructed on this basis and validated in an independent test set. The  performance of the models' predictions was evaluated by area under the curve (AUC), accuracy and logarithmic loss, and the fit of the models was reflected by calibration curves. The best model was selected as the final model. Risk stratification was performed using X-tile, and survival analysis was performed using the Kaplan-Meier method with log-rank test. Results    The 5-year postoperative survival rate of the patients was 67.5%. All clinicopathological characteristics of patients between the two groups in the training and test sets were not statistically different (P>0.05). A total of seven variables, including hypertension, history of smoking, history of alcohol consumption, degree of tissue differentiation, pN stage, vascular invasion and nerve invasion, were included for modelling. The AUC values for each model in the independent test set were: decision tree (AUC=0.796), support vector machine (AUC=0.829), random forest (AUC=0.831), logistic regression (AUC=0.838), gradient boosting machine (AUC=0.846), and XGBoost (AUC=0.853). The XGBoost model was finally selected as the best model, and risk stratification was performed on the training and test sets. Patients in the training and test sets were divided into a low risk group, an intermediate risk group and a high risk group, respectively. In both data sets, the differences in surgical prognosis among three groups were statistically significant (P<0.001). Conclusion    Machine learning models have high value in predicting postoperative prognosis of thoracic squamous esophageal cancer. The XGBoost model outperforms common machine learning methods in predicting 5-year survival of patients with thoracic squamous esophageal cancer, and it has high utility and reliability.