Comparison of Genetic Algorithm Based Support Vector Machine and Genetic Algorithm Based RBF Neural Network in Quantitative Structure-Property Relationship Models on Aqueous Solubility of Polycyclic Aromatic Hydrocarbons

AbstractA modified method to develop quantitative structure-property relationship (QSPR) models of organic contaminants was proposed based on genetic algorithm (GA) and support vector machine (SVM). GA was used to perform the variable selection and SVM was used to construct QSPR model. In this study, GA-SVM was applied to develop the QSPR model for aqueous solubility (Sw, mg•l-1) of polycyclic aromatic hydrocarbons (PAHs). The R2 (0.980), SSE (2.84), and RMSE (0.25) values of the model developed by GA-SVM indicated a good predictive capability for logSw values of PAHs. Based on leave-one-out cross validation, the results of GA-SVM were compared with those of genetic algorithm-radial based function neural network (GA-RBFNN). The comparison showed that the R2 (0.923) and RMSE (0.485) values of GA-SVM were higher and lower, respectively, which illustrated GA-SVM was more suitable to develop QSPR model for the logSw values of PAHs than GA-RBFNN

心理资本干预对抑郁症患者的影响

Objective: To explore the effect of psychological capital intervention on the depressed patients. Method: 62 patients with depression were randomly divided into control group and experimental group. Control group was taken with drug treatment, experimental group was taken with drug treatment and psychological capital intervention. Two groups of patients had been evaluated by psychological capital questionnaire (PPQ) and depression self rating scale (SDS) , before and after treatment. Results: After treatment, the two groups of patients’ scores of PPQ and SDS both dropped significantly. The treatment results of the experimental group was better than the control group. Conclusion: In conventional drug treatment with psychological intervention of capital at the same time, can efetively improve the patients’ level of psychological capital, significantly alleviate symptoms of depression.目的：探讨心理资本干预在抑郁症治疗中的影响。方法：将62例患者随机分为对照组和实验组。对照组给予药物常规治疗，实验组在常规治疗的基础上同时辅以心理资本干预。两组均在首诊及治疗6周后，采用心理资本问卷（PPQ）和抑郁自评量表（SDS）进行评定。结果：治疗后，两组患者的心理资本问卷、抑郁自评表得分均下降显著；实验组效果明显优于对照组。结论：在常规药物治疗的同时辅以心理资本干预，能有效提高患者的心理资本水平，显著缓解抑郁症状

Ponicidin Inhibits Monocytic Leukemia Cell Growth by Induction of Apoptosis

In this study two monocytic leukemia cell lines, U937 and THP-1 cells, were used to investigate the anti-proliferation effects caused by ponicidin. Cell viability was measured by an MTT assay. Cell apoptosis was assessed by flow cytometry as well as DNA fragmentation analysis. Cell morphology was observed using an inverted microscope and Hoechst 33258 staining. RT-PCR and Western blot analysis were used to detect survivin as well as Bax and Bcl-2 expressions after the cells were treated with different concentrations of ponicidin. The results revealed that ponicidin could inhibit the growth of U937 and THP-1 cells significantly by induction of apoptosis. The suppression was in both time- and dose-dependent manner. Marked morphological changes of cell apoptosis were observed clearly after the cells were treated with ponicidin for 48∼72 h. RT-PCR and Western blot analysis demonstrated that both survivin and Bcl-2 expressions were down-regulated remarkably while Bax expression remained constant before and after apoptosis occurred. We therefore conclude that ponicidin has significant anti-proliferation effects by inducing apoptosis on leukemia cells in vitro, downregulation of survivin as well as Bcl-2 expressions may be the important apoptosis inducing mechanisms. The results suggest that ponicidin may serve as potential therapeutic agent for leukemia