We analyzed the characteristics of postgraduate education in military universities in America and Japan,including idea of education development and system of administration,and drew on the useful experiences in this regard for military universities in China.The topic is practically significant for current reformation and development of postgraduate education in military universities in China.

AIM: The present study was designed to ex amin e the changes in glial fibrillary acidic protein (GFAP) expression during cerebr al ischemia and the effects of ginkgolide B on GFAP expression. METHODS: The focal thrombotic cerebral ischemia was formed by ph otochemistry-induced in tree shrews. GFAP stained by ABC immunohistochemistry an d absorbance were measured with image analyze system. RESULTS: GFAP expression in astrocytes increased significantly ( P

AIM: To observe the effect of platelet-activating factor (PAF) on cultured neuronal viability and glial fibrillary acidic protein (GFAP) expression in cultured astrocytes. METHODS: Neurons and astrocytes obtained from the brain cortex of the embryo and newborn mice respectively were cultured and purified, and they were divided into the control and experimental groups. PAF was added into the experimental groups at concentrations of 4, 8 and 16 ?mol/L. Each group was cultured for 4 h, 24 h and 72 h, respectively. MTT method and immunohistochemistry were used to observe the neuronal viability and GFAP expression in astrocytes, respectively. RESULTS: During different time after adding PAF at different concentrations into cultured neurons and astrocytes, respectively, neuronal viability declined, and the number of astrocytes decreased, but GFAP expression in survival astrocytes increased. The effects were shown to be in a concentration-dependent manner. CONCLUSION: PAF decreases the neuronal viability directly and influences the neuronal survival indirectly by astrocytes.

Continuity of care is one of the core attributes of primary care, which interacts with first-contact, accessibility, coordination and comprehensiveness in a mutual, supportive, and strengthening way to form an interactive mechanism of primary care.This paper first reviews the current literature on definitions and concepts of continuity of care, ascertain the key elements of continuity, and pinpoint the relationship between the dominant and recessive elements.Then, it defines the connotations of continuity of care and their boundaries in the context of primary care, according to the principles of controllability, exhaustion and exclusiveness.Finally it conceptualizes the primary care continuity to lay the foundation for further studies on operationally defining the primary care attributes of general practice.

Accessibility is one of the core attributes of primary care, which is closely associated with first-contact, positively interacts with comprehensiveness, and is very influential to continuity and coordination.This paper first reviews the current literature on definition and concept of accessibility and highlights the characteristics and contents of primary care accessibility, then simplifies the overlapping between accessibility and other core attributes of primary care, and finally provides the definition of primary care accessibility and its core elements to lay the foundation for the development of measurement and evaluation tools for the core attributes of general practice.

Objective:The objective of this study was to evaluate and compare the core attributes of the four general practice models in Guangzhou, Dongguan and Shenzhen, and to provide the suggestions for strengthening the general practice functions. Methods: We used the two stage sampling method in this study. Firstly, three CHCs in Guangzhou, two in Dongguan and two in Shenzhen, and the general medical outpatient department in the Shenzhen Hospital of the University of Hong Kong were selected. Secondly, we used the convenience sam-pling method to perform investigation. A PCAT-AE modified Chinese edition was adapted to measure the patients’ primary care experience. A total of 1 712 patients participated in the questionnaire survey, the number of which 1 645 copies were valid. Results: Generally, the general practice core attributes’ total scores from that hospital were higher than those from Guangzhou communities (55. 3 vs. 45. 9, P<0. 05), Dongguan commu-nities (55. 3 vs. 49. 2, P<0. 05) and the Shenzhen communities (55. 3vs. 51. 7, P<0. 05). Conclusion:The primary care implementation was different in accordance with the characteristics of regions, and the general practice core attributes had different characteristics in different models. It could constantly improve the primary care services to each model’s specific circumstances.

Objective:The general practice attributes constitute a basis for the high primary care performance. In this paper, the general practice attributes are measured, their influencing factors are analyzed, the causes of exist-ing problems are explored, and suggestions are straight forwarded to strengthen the general practice function. Meth-ods:In this study, a PCAT-AE modified Chinese edition was adopted. The research was conducted into 8 community health centers and the general outpatient clinic of the University of Hong Kong, Shenzhen Hospital. They were eligi-ble adult patients who could communicate properly and had visited the same general practitioners at least three times. One-to-one interviews were conducted and a total of 1 712 patients participated in the survey, a number of which 1 645 effective samples were considered for analysis. Results: The total general practice attributes score was 49. 0. The first-contact score of 69 . 8 , continuity score being 63 . 1 and the cultural competence score of 51 . 2 were relatively high. The scores for the access (40. 8) and community orientation (31. 0) were relatively low. The general practice attribute scores were influenced by the social demographic and health characteristics, and the health care service uti-lization. Also, the general practice core attributes were positively related to the patient satisfaction (OR>1). Con-clusion:Comparing to the numbers in the developed countries, the general practice attribute scores were still low in China. Therefore, to strengthen the general practice function, works could be done at the individual, organization and system levels.

Objective To compare the value of diffusion kurtosis imaging (DKI) model with single-index DWI model parameters in the differential diagnosis of benign and malignant breast lesions,and to explore the correlation between the parameters and molecular subtypes and prognostic factors of breast cancer.Methods A retrospective analysis was performed with inclusion of 64 cases of breast diseases from January 2016 to May 2017 in Shanghai First People's Hospital.The patients were pathologically confirmed and typed, 30 cases are malignant tumors and 34 cases are benign lesions. DKI and DWI were performed within 2 weeks before the pathological examination. Invasive ductal carcinoma of grade Ⅰ, Ⅱ and Ⅲ were revealed in 1, 7 and 13 cases respectively. Luminal A breast cancer was found in 10 cases, Luminal B breast cancer was diagnosed in 11 cases, HER-2 positive breast cancer was 4 cases and triple negative breast cancer was 5 cases. The expressions of estrogen receptor (ER), Progesterone receptor (PR), and HER-2 positive were found in 20, 14 and 15 cases respectively. Ki67 was highly expressed in 24 cases and low expression in 6 cases. All patients underwent both plain and enhanced mammography scanning. The kurtosis (MK), mean diffusivity (MD) and ADC value were measured. Prognosis analysis was performed according to the maximum diameter (>2 cm, ≤2 cm), vascular or neurological invasion (positive, negative), lymph node metastasis (positive, negative), ER (positive, negative), PR (positive, negative), HER-2 (positive, negative),Ki67 (positive, negative), pathological grade (grade Ⅰ+Ⅱ,Ⅲ). Two independent samples t test was used to compare DKI and DWI parameters between benign and malignant lesions. ROC analysis was performed for assessing the values of parameters in discriminating benign and malignant breast lesions. Mann-Whitney U and Kruskal-Wallis H tests were used for the comparison of various prognostic factors or molecular subtypes.Spearman rank correlation analysis was used to explore the correlation of different prognostic factors and DKI and DWI parameters. Results The MK value of malignant group was higher than that of benign group,and the MD value and ADC value were lower than that of benign group (P<0.05). The area under the ROC for MK, MD and ADC were 0.897, 0.827 and 0.776, respectively. The area under the ROC was improved to 0.935 when three parameters were combined. The MK of ER positive group was higher than that of negative group (P<0.05). There was no significant difference of parameters among the other prognostic groups (all P>0.05). There was a low positive correlation between ER and MK (r= 0.417, P= 0.022). There was no correlation between the other prognostic factors and parameters (r=－0.086 to 0.313, all P>0.05). There was no significant difference in the MD, MK and ADC values among the four different subtypes of breast cancer (all P>0.05). Conclusions MK, MD and ADC values can be used to discriminate benign and malignant breast tumors, among which MK value has the best diagnostic performance. There is a certain correlation between DKI model parameters and prognostic factors.

Objective To evaluate the diagnostic efficacy of MRI diffusion kurtosis imaging (DKI) and quantitative dynamic contrast enhancement MRI (DCE-MRI) in benign and malignant breast lesions, and to explore the differential diagnosis ability for different pathological types and molecular subtype lesions. Methods Sixty four females were retrospectively enrolled in the study of MRI diffusion kurtosis imaging and quantitative dynamic contrast enhancement between November 20 and May 2017. All of them were confirmed to have benign or malignant lesions after surgical resection or puncture. All patients underwent axial T1WI, DKI and DCE-MRI examinations. The mean kurtosis (MK) and mean diffusivity (MD) values were calculated by the DKI model, and the hemodynamic parameters were obtained by quantitative dynamic contrast enhancement, including volume transfer constant (Ktrans), rate constant (Kep), extravascular extracellular space distribute volume per unit tissue volume (Ve) and blood volume fraction (Vp). Pathological analysis was performed to monitor the expression of estrogen receptor (ER), progesterone receptor (PR), human epidermal growth factor receptor 2 (HER-2) and nuclear proliferation index Ki67. The breast cancer was divided into Luminal A type, Luminal B type, HER-2 positive and triple-negative 4 subtypes. The differences of DKI parameters and DCE-MRI parameters between benign and malignant breast lesions were compared using two independent samples t test (normal distribution and homogeneity of variance) or Mann-Whitney U test (skewed distribution or variance). ROC analysis was used to evaluate the value of DKI and DCE-MRI parameters in differential diagnosis of benign and malignant breast lesions with pathological results as the gold standard. The Mann-Whitney U test and Kruskal-Wallis H test were used to compare the differences of DKI and DCE-MRI parameters among different prognostic factors and molecular subtypes of breast cancer. Spearman rank correlation analysis was used to evaluate the correlation between DKI and DCE-MRI parameters and different prognostic factors. Results Sixty-four cases were single lesions, with breast cancer in 23 cases and 41 cases of benign lesions. In breast cancer, there were 9 cases of Luminal A type, 7 cases of Luminal B type, 3 cases of HER-2 positive type and 4 cases of triple negative type. The positive numbers of ER, PR and HER-2 were 14, 11 and 10 cases respectively. Nineteen cases showed high expression of Ki67, while 4 cases showed low expression. There were significant differences in MK, MD, Ktrans and Kep between benign and malignant lesions (P<0.05). However, there was no significant difference between Ve and Vp (P>0.05). The area under the ROC for the differential diagnosis of benign and malignant breast lesions were 0.897, 0.808, 0.844 and 0.842, respectively. The combined multi-parameter differential diagnosis improved the efficacy. Combined with the above four parameters, the area under the ROC was 0.950. The diagnosis Sensitivity, specificity and accuracy were 0.870, 0.951 and 0.922 respectively. The Ktrans and Vp values of patients with ER positive and ER negative, as well as Ve value of deferent lymph node status, were significantly different (P<0.05), but there was no significant difference between the other prognostic factors (P>0.05). There was a moderate positive correlation between ER and Ktrans and Vp values. There was a low positive correlation between lymph node status and Ve value (r= 0.6, 0.5 and 0.4, respectively, P<0.05). No correlation was found among other parameters and prognostic factors (P>0.05). There were no significant differences in DKI and DCE-MRI parameters among different subtypes of breast cancer patients (all P>0.05). Conclusion DKI combined with DCE-MRI can improve the differential diagnosis of breast lesions and some DCE-MRI parameters are related to prognostic factors.

In the era of big data, hospital′s research data platform development is faced with challenges in how to strengthen the deep and efficient application of medical big data in their clinical research. The authors studied such problems of a tertiary hospital in Henan as low data value density, difficulty in structuring medical text language and mismatch between clinical research thinking and ability, in terms of the use of existing clinical data exploration system and effective use of data. Based on results of the study, they summarized relevant measures for effective use of medical data and considerations in the establishment of a clinical research big data center.For example, combination of " pre-structuring" and " post-structuring" in data collection for data quality control; exploration of deep mining of medical text data using machine learning technology based on unstructured text data, and perfection the intelligent analysis application function of clinical research big data; enhancement of talent training to promote clinicians′ capacity in using clinical big data; and enhancement of multi-disciplinary teambuilding and composite talent cultivation, for the purposes of more efficient use of medical big data and higher efficiency and quality of clinical research.