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Aim at the low real-time performance and high false alarm rate of the traditional fall detection model, AdaBoost multi-core support vector machine model (ADB-MKSVM) was proposed which was used to detect and identify the falling action. Based on the improved AdaBoost model framework, the model took multi-core support vector machine as the basis classifier and assembled these basis classifiers to form a stronger final classifier. According to the distribution of human movement data and whether the classification of each sample in each training set is correct or not, and the overall classification accuracy last time, the weight of each sample was determined. The dynamic weight allocation method was used to improve the recognition rate of the fall action. The test results showed that this model had good classification performance, and the method of binding the sensor on the waist position could effectively improve the detection effect of the fall action. The accuracy rate was 99. 33%,the fall detection rate was 63. 6%,and the false detection rate was 1. 62% . [ABSTRACT FROM AUTHOR]

Panax ginseng is a traditional Chinese medicine with significant pharmaceutical effects and wide application. Through orientational modification and transformation of ginsenoside glycosyl, rare ginsenosides with high antitumor activities can be generated. Traditional chemical methods cannot be applied in clinic. because of extremely complex preparation technologies and very high cost Transformations using microorganisms and their enzymatic systems provide the most feasible methods for solving the main problems. At present, the key problems in enzymatic synthesis of ginsenosides include low specific enzyme activities, identity of enzymes involved in the enzymatic synthesis, and their catalytic mechanisms, as well as nonsystematic studies on structural bioinformatics; specificity of enzymatic hydrolysis for saponin glycosyl has been rarely studied. Many reviews have been reported on glycosidase molecular recognition, immobilization, and biotransformation in ionic liquids (ILs), whereas ginsenoside transformation and application have not been systematically studied. To evaluate theoretical and applied studies on ginsenoside-oriented biotransformation, by reviewing the latest developments in related fields and evaluating the widely applied biocatalytic strategy, this review aims to evaluate the ginsenoside-oriented transformation method with improved product specificity, increased biocatalytic efficiency, and industrial application prospect based on the designed transformations of enzyme and solvent engineering of ILs. Therefore, useful theoretical and experimental evidence can be obtained for the development of ginsenoside anticancer drugs, large-scale preparation, and clinical applications in cancer therapy.

Objective: To detect protein expression of ERK(1), ERK(2), JNK(1), p38 and MEK(1), MEK(2) in human hepatocellular carcinoma and adjacent non-neoplastic liver., Methods: In 16 surgically resected hepatocellular carcinoma and para-carcinoma tissues, Western blotting was used to detect expression of ERK(1), ERK(2), JNK(1), p38 and MEK(1), MEK(2)., Results: In all cases, ERK(1), ERK(2), p38 expression in hepatocellular carcinoma was significantly higher than that in para-carcinoma: integral optic density (IOD) of ERK(1) was 300 +/- 98 in carcinoma and 98 +/- 48 in para-carcinoma tissues (t = 2.519, P < 0.01); IOD of ERK(2) was 587 +/- 83 in carcinoma and 232 +/- 96 in para-carcinoma tissues (t = 2.745, P < 0.01); IOD of p38 was 270 +/- 85 in carcinoma and 107 +/- 88 in para-carcinoma tissues (t = 2.491, P < 0.01). JNK(1) expression in hepatocellular carcinoma was significantly lower than that in para-carcinoma; IOD of JNK(1) was 111 +/- 93 in carcinoma and 292 +/- 109 in para-carcinoma tissues (t = 2.473, P < 0.01). Protein levels of MEK(1) and MEK(2) in carcinoma were significantly higher than in para-carcinoma. IOD of MEK(1) was 1 418 +/- 244 in carcinoma and 806 +/- 90 in para-carcinoma tissues (t = 2.546, P < 0.01). IOD of MEK(2) was 1 041 +/- 122 in carcinoma and 468 +/- 40 in para-carcinoma tissues (t = 2.861, P < 0.01)., Conclusions: ERK(1), ERK(2), MEK(1) and MEK(2) in the signal transduction pathway for cell proliferation are significantly overexpressed and the expression of JNK(1) is lower in hepatocellular carcinoma. Their unbalance is one of the important reasons for the over growth and infinite proliferation of the hepatocellular carcinoma cell. The p38 and JNK(1) may be activated by different pathway.