It is important that the oral hospital establish a guarantee system of medical graduation clinical practice quality. Having experienced clinical education for many years,the hospital has formed a system in order to achieve objective management and process management organic unification,which can gradually promote the clinical practice quality.

Objective: To investigate the effect of leukemia inhibitory factor (LIF) on the of proliferation and differentiation of ectomesenchymal cells of mandibular process in Balb/c fetal mice . Methods: Ectomesenchymal cells from the E12.5 mice mandibular process were cultured in DMEM/F12 with 10 6u/L LIF (experimental group) or without LIF (control). The proliferation effect was detected by MTT assay, Brdu test and flow cytometry. Immunohistochemistry were used to identify the differentiation state. Results: By day 7 the A value of the experimental group was 0.38?0.03,that of the control 0.30?0.02 (P

OBJECTIVETo discuss the potential application of artificial neural network (ANN) on the epidemiological classification of disease.

METHODSLearning vector quantification neural network (LVQNN) and discriminate analysis were applied to data from epidemiological survey in a mine in 1996.

RESULTSThe structure of LVQNN was 25-->13-->3. The total veracity rates was 96.98%, and 92.45% among the abnormal blood glucose individuals. Through stepwise discriminate analysis, the discriminate equations were established including 11 variables with a total veracity rate of 87.34%, but was 85.53% in the abnormal blood glucose individuals. Further analysis on 30 cases with missing values showed that the disagreement ratio of LVQ was 1/30, lower than that of discriminate analysis of 7/30.

CONCLUSIONSCompared to the conventional statistics method, LVQ not only showed better prediction precision, but could treat data with missing values satisfactorily plus it had no limit to the type or distribution of relevant data, thus provided a new powerful method to epidemiologic prediction.

Algorithms ; Blood Glucose ; metabolism ; China ; epidemiology ; Diabetes Mellitus ; blood ; classification ; epidemiology ; Glucose Tolerance Test ; Humans ; Insulin ; blood ; secretion ; Logistic Models ; Neural Networks (Computer)

Objective This study is to analyse the clinical feature and risk factors of morbidity after pulmonary resection for lung cancer in patients older than 70 years. Methods The clinical records of 222 patients older than 70 years who had undergone pulmonary resection for their lung cancer was reviewed. The patients were divided into 3 groups: group Ⅰ including the patients who had severe postoperative complications, group Ⅱ including the patients who had mild complications and group Ⅲ including the patients who had no complications. Moreover, the definitions were made that group A1 = group Ⅰ+ Ⅱ , group B1 = group Ⅲ, group A2 = group Ⅰ and group B2 = group Ⅱ + Ⅲ. Univariate analyses and multivariate binary logistic regressions relating postoperative morbidity to risk factors were performed between the group Al and Bl, A2 and B2, resulting in the identification of the independent risk factors for overall morbidity and major morbidity. Results Preoperative comorbidity was recorded in 161 patients (72.5%). Lobectomy (64.9% ) was the predominant surgical procedure. The median number of dissected LN was 14, with the range of 0 to 57. The overall morbidity was 63.5% , including major morbidity of 13.5%. Perioperative mortality was 1.8% (4 cases). The results of binary logistic regression analyses indicated that the independent risk factors for overall morbidity were preoperative weight loss (P =0.020), ASA score (P＜0.001), MVV (% predicted) (P=0. 020 ) and the number of dissected LN ( P = 0.004 ). The independent risk factors for major morbidity were ASA score ( P =0.003), MVV (% predicted) (P= 0.018) and the location of tumor (P=0.007). Conclusion Preoperative weight loss and numbers of dissected mediastinal lymph nodes were risk factor for lung cancer patients older than 70 years, Proper perioperative management for the elderly patients with high ASA score, low MVV (% predicted) or central tumor, could reduce the major postoperative morbidity.

Biomedical Research ; China ; epidemiology ; Dementia ; epidemiology ; Humans

OBJECTIVETo measure and assess the quality of life (QOL) and to explore the influencing factors on patients with malignant lymphoma.

METHODSQOL of 110 patients with malignant lymphoma were marked using EORTC QLQ-C30 short form, and multiple linear regression models were used to study the main factors influencing the QOL of patients with malignant lymphoma on five functional scales (physical, role, cognitive, emotional, and social) and the total scores.

RESULTSThe influencing factors of quality of life on patients with malignant lymphoma appeared to be: history of relapse, refraining from smoking, older age, educational level, space for living, exercises, medical care system, and available health care programs. Relapse (beta = 5.997, P= 0.020) and refraining from smoking (beta = -6.526, P= 0.006) were associated with total QOL scores, educational level (beta = -2.144, P= 0.057), History of relapse (beta = 5.857, P = 0.003) was associated with total functional scales while exercises (beta= -0.771, P = 0.097) and refraining from smoking (beta= -4.106, P = 0.005) were with physical scales, refraining from smoking (beta = -4.644,P = 0.008) and older age (beta = 0.989, P= 0.029) were with role scales, relapse (beta = 14.035, P= 0.001) and older age (beta = 2.230, P= 0.023) were with cognitive scales, relapse (beta = 8.500, P= 0.031) and living space (beta = - 3.054, P= 0.0901) were with emotional scales and medical care system and available health care programs (beta = -6.577, P= 0.018) were with social scales respectively.

CONCLUSIONFactors as prevention of relapse, correct cognition on malignant lymphoma, reasonable exercise, refrain from bad habits, improving medical care system could all increase the functions of malignant lymphoma patient, and to improve their quality of life.

Cognition ; Humans ; Lymphoma ; physiopathology ; psychology ; Quality of Life ; Recurrence

Bombyx mori nucleopolyhedrovirus (BmNPV) bm47 gene is found in all sequenced lepidopteran nucleopolyhedroviruses (NPVs). It is one of the core genes of NPVs. However, the role of bm47 in the biological cycle of NPV remains unknown. In this study, the Red recombination system was used to knock out bm47 from BmNPV to construct bm47-ko-Bacmid in E. coli BW25113 system. Then bm47 gene was introduced back to the viral genome using the Bac-to-Bac system to create the repair virus bm47-re-Bacmid. TCID50 assay and real-time PCR (qPCR) were used to evaluate the effects of bm47 deletion on viral DNA replication, gene transcription, and protein expression. qPCR results showed that bm47 knock-out had no significant effect on viral DNA replication. However, the qPCR results showed that bm47-ko-Bacmid significantly decreased the transcription levels of early gene lef-3, late gene vp39, and very late gene p10 at 48 h and 72 h after viral transfection of BmN cells (P < 0.05). This work will provide a foundation for further studies on the biological function of BmNPV bm47 in viral replication and transcription.
Animals ; Bombyx ; virology ; Gene Deletion ; Gene Expression Regulation, Viral ; Nucleopolyhedrovirus ; genetics ; physiology ; Transcription, Genetic ; Viral Proteins ; genetics ; metabolism ; Virus Replication

It is important to forecast incidence rates of infectious disease for the development of a better program on its prevention and control. Since the incidence rate of infectious disease is influenced by multiple factors, and the action mechanisms of these factors are usually unable to be described with accurate mathematical linguistic forms, the radial basis function (RBF) neural network is introduced to solve the nonlinear approximation issues and to predict incidence rates of infectious disease. The forecasting model is constructed under data from hepatitis B monthly incidence rate reports from 1991-2002. After learning and training on the basic concepts of the network, simulation experiments are completed, and then the incidence rates from Jan. 2003-Jun. 2003 forecasted by the established model. Through comparing with the actual incidence rate, the reliability of the model is evaluated. When comparing with ARIMA model, RBF network model seems to be more effective and feasible for predicting the incidence rates of infectious disease, observed in the short term.
Communicable Diseases ; Forecasting ; methods ; Humans ; Models, Theoretical

Objective To observe the changes of peripheral blood lymphocyte subsets in patients with postoperative colorectal cancer before and after chemotherapy, and to evaluate the changes of immune function status. Methods 74 patients with stage Ⅱ-Ⅲ colorectal cancer after radical resection admitted in Zhejiang Cancer Hospital from January to December 2016 were enrolled. 25 non-malignant patients in the same period in our hospital were selected as the control group. Flow cytometry was used to analyze the proportion of peripheral blood lymphocyte subsets at one day before the first, sixth and eighth cycles of adjuvant chemotherapy. Results There were no differences in CD3+ (P =0.1532), CD3+CD4+ (P=0.1107), CD3+CD8+ (P=0.2576) T cells in the peripheral blood between patients with colorectal cancer after radical operation and control group (P>0.05). While CD3+CD56+NKT cells (P=0.0210) and CD3-CD56+NK cells (P=0.0045) in the patients with colorectal cancer after radical operation were significantly higher than those of the control group (P <0.05). There was no significant change in the proportion of NK and NKT cells before 6 cycles of postoperative adjuvant chemotherapy (P>0.05). There was no significant change in the proportion of NKT cells before 8 cycles (P>0.05), and the proportion of NK cells only decreased slightly (19.10±4.63 vs 20.31±4.66, P=0.046). Conclusion The proportion of NK and NKT cells in patients with colorectal cancer after radical resection was significantly higher than that in healthy people, and the expression rate remains stable after adjuvant chemotherapy.

OBJECTIVETo prepare baicalin nanocrystal (BC-NC) and evaluate its pharmacokinetics in rats.

METHODBaicalin nanosuspensions (BC-NS) were prepared by the high pressure homogenization technology combined with ultrasonic, and then BC-NS were solidificated into BC-NC pellets by removing the water through fluid-bed drying. Its morphology, mean diameter and Zeta-potential were determined. An HPLC method was employed to determine the concentration of baicalin in plasma, and the bioavailability of the nanocrystal was compared with the reference group by oral administration in Wistar rats.

RESULTThe nanocrystals observed by scanning electron microscopy were irregular granulated, and the mean particle sizes of BC-NC were (248 +/- 6) nm. Its polydispersity index (PI) and zeta-potential were (0.181 +/- 0.065), (-32.3 +/- 1.8) mV, respectively. The pharmacokinetic parameters showed that the C(max) was (16.54 +/- 1.73) mg x L(-1) and the AUC(0-24 h) was (206.96 +/- 21.23) mg x L(-1) x h, which were significantly enhanced compared with the baicalin bulk and baicalin physical mixture (BC-PM) formulation, respectively (P < 0.01).

CONCLUSIONBaicalin nanocrystal can significantly improve the bioavailability of baicalin.

Administration, Oral ; Animals ; Biological Availability ; Chromatography, High Pressure Liquid ; Flavonoids ; administration & dosage ; chemistry ; pharmacokinetics ; Male ; Nanoparticles ; chemistry ; ultrastructure ; Particle Size ; Rats