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Background. In Traditional Chinese Medicine (TCM), most of the algorithms are used to solve problems of syndrome diagnosis that only focus on one syndrome, that is, single label learning. However, in clinical practice, patients ma...
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Background. In Traditional Chinese Medicine (TCM), most of the algorithms are used to solve problems of syndrome diagnosis that only focus on one syndrome, that is, single label learning. However, in clinical practice, patients may simultaneously have more than one syndrome, which has its own symptoms (signs). Methods. We employed a multilabel learning using the relevant feature for each label (REAL) algorithm to construct a syndrome diagnostic model for chronic gastritis (CG) in TCM. REAL combines feature selection methods to select the significant symptoms (signs) of CG. The method was tested on 919 patients using the standard scale. Results. The highest prediction accuracy was achieved when 20 features were selected. The features selected with the information gain were more consistent with the TCM theory. The lowest average accuracy was 54% using multi-label neural networks (BP-MLL), whereas the highest was 82% using REAL for constructing the diagnostic model. For coverage, hamming loss, and ranking loss, the values obtained using the REAL algorithm were the lowest at 0.160,0.142, and 0.177, respectively. Conclusion. REAL extracts the relevant symptoms (signs) for each syndrome and improves its recognition accuracy. Moreover, the studies will provide a reference for constructing syndrome diagnostic models and guide clinical practice.
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Explicit formulas for computing the Zhang–Zhang polynomial of cyclo-polyphenacenes, presented by Guo et al. (J. Math. Chem. 46:347, 2009) are found to be erroneous. In the present comment, a corrected version of Theorem 4.2 is gi...
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Explicit formulas for computing the Zhang–Zhang polynomial of cyclo-polyphenacenes, presented by Guo et al. (J. Math. Chem. 46:347, 2009) are found to be erroneous. In the present comment, a corrected version of Theorem 4.2 is given. The new formulation has been extensively tested by comparison with the Zhang–Zhang polynomials computed by brute force using a new, completely automatized computer code.
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A gas-cycle incubation system (H-2 treatment system) and mineral salt agar medium was used to isolate and culture hydrogen-oxidizing bacteria in Medicago sativa rhizosphere, and 37 strains were finally isolated and cultured, 8 str...
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A gas-cycle incubation system (H-2 treatment system) and mineral salt agar medium was used to isolate and culture hydrogen-oxidizing bacteria in Medicago sativa rhizosphere, and 37 strains were finally isolated and cultured, 8 strains of which could absorb H-2 more than 2.44x10(-4) mol/L was identified as Pseudomonas sp., Plesiomonas sp., Pimelobacter sp., Xanthobacter sp., Leminorella sp., Terrabacter sp., Rarobacte sp. according to the cell, colony form and biochemical characteristics. The heterotrophy culture condition of strain WMQ-7 was also studied. The enzyme activity of strain WMQ-7 was 0.671 U/mu g and the content of siderophore produced by strain WMQ-7 was 7.1996 mu g/mL. 16S rDNA sequence of strain WMQ-7, FMG-3, FMG-5 was analyzed and built the phylogenic tree. From the physiology characteristic and inherited characteristic, strain WMQ-7 was finally identified as Pseudomonas putida (GenBank accession number EU807744). Stain FMG-5 was 94 % similar to the Rhizobium etli, while the 16S rDNA sequence of strain FMG-3 could not find a similar comparison in GenBank. In the experiments of the 8 hydrogen-oxidizing bacteria effect on wheat, the results showed that strain WMQ-7, FMG-3 and FMG-5 had strong ability to promote the growth of wheat. It is possible that the plant growth promoting mechanism of strain WMQ-7 was due to its ACC deaminase activity and the siderophore.C1 Wang, Weiwei; NW Univ Xian, Minist Educ, Key Lab Resource Biol and Biotechnol Western China, Xian 710069, Peoples R ChinaSC Infectious Diseases; Genetics & Heredity; Agriculture
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The goal of this study is to assess the protective efficiency of the E72-296 protein, a candidate for a safer rubella virus vaccine. BALB/c mice were immunized with purified); E72-296 protein, RV JR23 strain or Attenuated RV Vacci...
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The goal of this study is to assess the protective efficiency of the E72-296 protein, a candidate for a safer rubella virus vaccine. BALB/c mice were immunized with purified); E72-296 protein, RV JR23 strain or Attenuated RV Vaccine. Anti-RV antibodies were tested by indirect ELISA, and cell immune responses were examined by lymphocyte proliferation assay. NK cell activity and challenge tests were assayed to evaluate the safety of the E72-296 protein. In this study, the RV-specific ELISA antibodies induced by the E72-296 protein were obtained. Mice immunized with the E72-296 protein had effective protection against RV when challenged with RV JR23 ten days after triple immunization. Further analyses of cell-mediated immune responses showed that the E72-296 protein induced positive cell-mediated immunity (CMI) (stimulation index). In addition, it was noticed that E72-296 protein could not alter splenic NK cell cytotoxicity, which was reduced in mice immunized with the Attenuated RV Vaccine. This suggested that E72-296 protein was safer than latter. These results indicated that the E72-296 protein not only induced complete protection against RV challenge in mice, but is also a candidate for a safer vaccine.C1 Wang, Zhi-Yu; Shandong Univ, Key Lab Expt Teratol, Minist Educ, Dept Virol,Sch Publ Hlth,Sch Med, Jinan, Peoples R ChinaSC Pharmacology & Pharmacy; Biochemistry & Molecular Biology; Infectious Diseases; Immunology
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For the IPS, we found a correlation between compression stiffness and stabilization in extension. Here, the system with the lowest stiffness, DIA, displayed nearly no stabilization of the treated segment, whereas the system with t...
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For the IPS, we found a correlation between compression stiffness and stabilization in extension. Here, the system with the lowest stiffness, DIA, displayed nearly no stabilization of the treated segment, whereas the system with the highest stiffness, WAL and COF, was most pronounced. This applies also for the correlation between device stiffness and IDP. In flexion only the degree of stabilization is in correlation with the tensile stiffness, whereas the IDP stays constant and is not affected by the different tensile stiffness. IPS is not able to stabilize in the frontal and transversal plane. Furthermore IPS does not substantially alter the location of the COR.
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