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BACKGROUND: Proteins containing fibronectin domains play an important role in cell migration, adhesion, growth and differentiation and have been widely applied to a variety of new biological materials. Subcellular localization prediction of proteins containing fibronectin domains can promote protein function research and development of new biomaterials.OBJECTIVE: To realize subcellular localization prediction of proteins containing fibronectin domains. METHODS: A total of 80 human proteins were randomly selected from Uniprot database. The amino acid pairs for each protein were collocated to form 400 dimensional input feature vectors. The feature vectors were then trained and tested using support vector machine and k-nearest neighbor separately. The prediction quality was examined by the jackknife test. RESULTS AND CONCLUSION: The prediction accuracy was 92.5% and 95% for support vector machine and k-nearest neighbor methods respectively. This suggests that support vector machine and k-nearest neighbor methods are of important significance for predicting subcellular localization of proteins containing fibronectin domains and contribute to functional research of such proteins and surface modification of new biomaterials.
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Objective To explore the conditions for the restoration of competitive dysbacteriosis with antibiotics. Methods The mathematical model of the two competitive floras was analyzed by the Qualitative Theory of Ordinary Differential Equations. Results Three different types of dysbacteriosis and their restoring conditions were obtained. Conclusion Different restoring schemes should be applied for the regulation of different types of dysbacteriosis. Misuse of antibiotics can not result in satisfactory therapeutic effect.
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To explore an appropriate teaching model in medical computer science in China, this paper, based on the actual state of medical computer science,points out that PBL teaching model accords with our disciplinary goal in training medical education talents in medical university and discusses how PBL teaching model is applied to medical computer science.
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According to our teaching practice, it is analyzed that the application of multimedia to malhematic teaching in the medical academy has some advantages and disadvantages. On the basis of the analysis, suggesled are some improving measures, which are as follows: studying advanced educational theories and modern educational techniques; making courseware on carefully selected teaching content; setting up a scientific and effective estimating system.
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Objective To explore the spatio-temporal regularity of cerebral edema in the early stage of severe burn (50% TBSA Grade Ⅲ) with four-dimensional (4D) mathematic model. Methods Twenty-six dogs were randomly divided into control group and 6, 12, 18 and 24 hours post-burn groups. The dogs in the postburn groups suffered severe burn of 50% TBSA GradeⅢ. Six hours after burn, 50 g/L glucose was injected according to Parkland formula. MRI manifestation, histopathological changes, brain water content and intracranial pressure were observed in each group. A 4D mathematic model was established based on the results of MRI scanning. Results Two turning points ( 6 and 18 hours postburn) and three phases of pathologic changes were displayed by 4D mathematic model of cerebral edema in the early stage of severe burn. The first phase (6 hours postburn) was in the subclinical period,when an effective treatment should be taken as quickly as possible so as to prevent deterioration of postburn cerebral edema. The second phase ( 6-18 hours postburn) was in the apostatic period with pathologic characteristic of vasogenic and cytotoxic brain edema. The third stage (18-24 hours postburn) was the critical period of cerebral edema. Intracerebral pressure (ICP) increased rapidly due to limitation of cranial cavity, when cerebral hernia easily happened. Conclusions The 4D model indicates that there is a feature of type S curve in the pathologic process of cerebral edema in the early stage after severe burn.
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Objective To explore the generative mechanism of bacterial wave growth in view of the open living system of microorganism. Methods With the single strain of bacterium as the subject, the nonlinear method of the dynamic systems and the analyzing method of the numerical simulation were used to study the effect of the changing environment on the bacterial growth. Results A mathematical model of the relationship between the bacterial wave growth and environment was established. Conclusion This model is verified to be scientific and its numerical simulation results are obtained, providing a helpful quantitative analysis for the research on the laws of bacterial wave growth.
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AIM: To study the activation effects of maize pollen polysaccharides(PPM) on human thoracic cavity macrophage (hTM). METHODS: Activities of lactate dehydrogenase(LDH) and acid phosphatase (ACP) in the hTM were detected by automatic biochemical analyzer, and the level of tumor necrosis factor alpha(TNF-?) and interleukin-6(IL-6) in the hTM was analyzed by radioimmunoassay, after hTM were cultured with 0.312,0.625, 1.250, 2.500, 5.000 mg/mL PPM-RPMI 1640 for 24 and 48 hours in vitro. RESULTS: The activities of LDH and ACP increased in the hTM induced by PPM, and the levels of TNF-? and IL-6 in the hTM induced by PPM increased markedly too. And the induced expression effect of TNF-? and IL-6 is associated with the concentration of PPM, and time for PPM inducing. CONCLUSION: PPM can induce cytokines secretion in hTM,and activate hTM in vitro.