In this paper, we design and create the novel multivariate optimization theory based approach for building the paradigm. From the seller, web sites, the external environment, the respect such as online trust building ...In this paper, we design and create the novel multivariate optimization theory based approach for building the paradigm. From the seller, web sites, the external environment, the respect such as online trust building credibility evaluation index system. To factors affecting online trust as input will trust composite scores as the output, and then, using BP neural network technology, from the perspective of buyers and build a C2C e-commerce trust evaluation model. The multivariate optimization theory helps us modify the current pattern to be more feasible and robust. In the near future, we have scheduled to polish the neural network part to obtain better performance.展开更多
As a unique probe,the precision measurement of pp solar neutrinos is important for studying the sun’s energy mechanism as it enables monitoring the thermodynamic equilibrium and studying neutrino oscillations in the ...As a unique probe,the precision measurement of pp solar neutrinos is important for studying the sun’s energy mechanism as it enables monitoring the thermodynamic equilibrium and studying neutrino oscillations in the vacuum-dominated region.For a large-scale liquid scintillator detector,a bottleneck for pp solar neutrino detection is the pile-up events of intrinsic14C decay.This paper presents a few approaches to discriminating between pp solar neutrinos and ^(14)C pile-up events by considering the differences in their time and spatial distributions.In this study,a Geant4-based Monte Carlo simulation is conducted.Multivariate analysis and deep learning technology are adopted to investigate the capability of ^(14)C pile-up reduction.The BDTG (boosted decision trees with gradient boosting) model and VGG network demonstrate good performance in discriminating pp solar neutrinos and ^(14)C double pile-up events.Under the ^(14)C concentration assumption of 5×10-18g/g,the signal significance can achieve 10.3 and 15.6 using the statistics of only one day.In this case,the signal efficiency for discrimination using the BDTG model while rejecting 99.18% ^(14)C double pile-up events is 51.1%,and that for the case where the VGG network is used while rejecting 99.81%of the ^(14)C double pile-up events is 42.7%.展开更多
Purpose: The optimal formulation of pegylated interferon a (PEG-IFa) as a part of combination therapy with ribavirin (RBV) is uncertain for patients infected with hepatitis C Genotypes 2 and 3. Methods: A multivariate...Purpose: The optimal formulation of pegylated interferon a (PEG-IFa) as a part of combination therapy with ribavirin (RBV) is uncertain for patients infected with hepatitis C Genotypes 2 and 3. Methods: A multivariate analysis of prospectively collected treatment data from two tertiary centres on 351 treatment na?ve HCV Genotype 2 or 3 patients who received PEG-IFa-2a or b plus ribavirin. Results: Univariate analyses demonstrate that PEG-IFa-2b based on regimens achieved a higher sustained virological response (SVR) than PEG-IFa-2a (77.9% versus 62.0%, P = 0.0012). On multivariate analyses, PEG-IFa-2b appeared superior to PEG-IFa-2a with an odds ratio (OR) and 95% confidence interval (CI95) for SVR of 2.19 (CI95 1.35-3.52, P = 0.0005). Genotype was a significant predictor of outcome in the multivariate model with 80% of Genotype 2 but only 67.7% of Genotype 3 subjects achieving SVR (OR 2.66 [CI95 1.35-5.92]). Increasing age was negatively associated with SVR (OR 0.97 [CI95 0.94-0.99]). Some of the differences in SVR are explained by higher relapse rates with PEG-IFa-2a (P = 0.009). Conclusions: PEG-IFa-2b and RBV achieve higher SVR rates than PEG-IFa-2a and RBV in Genotypes 2 and 3 chronic HCV infections. There is less relapse with PEG-IFa-2b. Genotype 2 infections are considerably easier to cure. SVR is higher in younger patients. These findings should influence a choice of PEG-IFa in the era of direct acting anti-viral drugs in therapy of Genotypes 2 and 3.展开更多
文摘In this paper, we design and create the novel multivariate optimization theory based approach for building the paradigm. From the seller, web sites, the external environment, the respect such as online trust building credibility evaluation index system. To factors affecting online trust as input will trust composite scores as the output, and then, using BP neural network technology, from the perspective of buyers and build a C2C e-commerce trust evaluation model. The multivariate optimization theory helps us modify the current pattern to be more feasible and robust. In the near future, we have scheduled to polish the neural network part to obtain better performance.
基金supported by National Natural Science Foundation of China(No.12005044)the Strategic Priority Research Program of the Chinese Academy of Sciences(No.XDA10011200)Guangxi Science and Technology Program(No.GuiKeAD21220037).
文摘As a unique probe,the precision measurement of pp solar neutrinos is important for studying the sun’s energy mechanism as it enables monitoring the thermodynamic equilibrium and studying neutrino oscillations in the vacuum-dominated region.For a large-scale liquid scintillator detector,a bottleneck for pp solar neutrino detection is the pile-up events of intrinsic14C decay.This paper presents a few approaches to discriminating between pp solar neutrinos and ^(14)C pile-up events by considering the differences in their time and spatial distributions.In this study,a Geant4-based Monte Carlo simulation is conducted.Multivariate analysis and deep learning technology are adopted to investigate the capability of ^(14)C pile-up reduction.The BDTG (boosted decision trees with gradient boosting) model and VGG network demonstrate good performance in discriminating pp solar neutrinos and ^(14)C double pile-up events.Under the ^(14)C concentration assumption of 5×10-18g/g,the signal significance can achieve 10.3 and 15.6 using the statistics of only one day.In this case,the signal efficiency for discrimination using the BDTG model while rejecting 99.18% ^(14)C double pile-up events is 51.1%,and that for the case where the VGG network is used while rejecting 99.81%of the ^(14)C double pile-up events is 42.7%.
文摘Purpose: The optimal formulation of pegylated interferon a (PEG-IFa) as a part of combination therapy with ribavirin (RBV) is uncertain for patients infected with hepatitis C Genotypes 2 and 3. Methods: A multivariate analysis of prospectively collected treatment data from two tertiary centres on 351 treatment na?ve HCV Genotype 2 or 3 patients who received PEG-IFa-2a or b plus ribavirin. Results: Univariate analyses demonstrate that PEG-IFa-2b based on regimens achieved a higher sustained virological response (SVR) than PEG-IFa-2a (77.9% versus 62.0%, P = 0.0012). On multivariate analyses, PEG-IFa-2b appeared superior to PEG-IFa-2a with an odds ratio (OR) and 95% confidence interval (CI95) for SVR of 2.19 (CI95 1.35-3.52, P = 0.0005). Genotype was a significant predictor of outcome in the multivariate model with 80% of Genotype 2 but only 67.7% of Genotype 3 subjects achieving SVR (OR 2.66 [CI95 1.35-5.92]). Increasing age was negatively associated with SVR (OR 0.97 [CI95 0.94-0.99]). Some of the differences in SVR are explained by higher relapse rates with PEG-IFa-2a (P = 0.009). Conclusions: PEG-IFa-2b and RBV achieve higher SVR rates than PEG-IFa-2a and RBV in Genotypes 2 and 3 chronic HCV infections. There is less relapse with PEG-IFa-2b. Genotype 2 infections are considerably easier to cure. SVR is higher in younger patients. These findings should influence a choice of PEG-IFa in the era of direct acting anti-viral drugs in therapy of Genotypes 2 and 3.
