Search

Copyright of Journal of Xi'an Jiaotong University is the property of Editorial Office of Journal of Xi'an Jiaotong University and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of China Condiment is the property of China Condiment and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Engineering Science Research & Application is the property of Omniscient Pte. Ltd. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Deep neural networks tend to overfit to biased training data when there are noisy labels or imbalanced class distributions in the training set. Using reweighting strategies with appropriate sample weighting is a common method to address this issue. However, improper reweighting schemes will introduce additional overhead and bias to the network's learning process, it is difficult to solve overfitting problems in biased distribution networks using only reweighting methods. To address this problem, this paper proposed a method that combined label smoothing regularization, class margin regularization, and reweighting, and presented an EMN method based on adaptive reweighting and regularization, which consisted of a base network for classification and an ensemble meta-net for hyperparameter estimation. The method first obtained the sample loss through the base network, then used three meta-learners to estimate the hyperparameters of adaptive reweighting and regularization in an integrated manner based on the loss, and finally used the three hyperparameters to calculate the final ensemble meta-loss and update the base network, thereby improving its performance on biased distribution datasets. Experimental results demonstrate that EMN achieves higher accuracy on CIFAR and OCTMNIST datasets compared to other methods, and the effectiveness of diffe-rent strategies are demonstrated through policy correlation analysis. [ABSTRACT FROM AUTHOR]

Copyright of Telecommunication Engineering is the property of Telecommunication Engineering and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Aim To explore the effect of Buyang Huanwu decoction on anti-atherosclerosis by regulating the phenotypic transformation of vascular smooth muscle cells and serum inflammatory response based on Wnt/β-catenin signaling pathway. Methods 50 ApoE-/- mice were randomly divided into model group, Buyang Huanwu decoction modified (low, medium and high dose) groups, and atorvastatin group, with 10 mice in each group; 10 C57BL/6J mice with the same genetic background were set as the control group. The mice of control group were fed with regular forages, while the mice of other five groups were fed with high-fat forages for 8 weeks for model replication. From the 9th week, they were continuously gavaged for 4 weeks. After 12 weeks, the mouse aortic roots were isolated and paraffin sections were prepared. Oil red O staining was used to observe the lipid content of aortic sinus. Immunohistochemical method was used to detect the expression level of bone bridge protein (OPN). Enzyme-linked immunosorbent assay (ELISA) was used to detect the levels of interleukin-6 (IL-6), tumor necrosis factor-α (TNF-α), interleukin-1β (IL-1β) and monocyte chemoattractant protein-1 (MCP-1) in serum. Western blot was used to detect the protein expressions of Wnt1, β-catenin and c-myc in mice aorta. RT-PCR was used to detect the expressions of Wnt1 and β-catenin gene. Results Buyang Huanwu decoction modified (low, medium and high dose) could reduce the lipid content and OPN expression in the aortic sinus of As model mice, reduce serum levels of IL-6 and TNF-α, IL-1β and MCP-1 in mice, and downregulate the expression of Wnt1 and β-catenin protein and gene. Conclusion Buyang Huanwu decoction modified exerts an anti-atherosclerosis effect by regulating inflammatory response, and some of the mechanisms may be related to inhibiting the activation of the Wnt/β-catenin signaling pathway. [ABSTRACT FROM AUTHOR]

Copyright of Economic Science / Jingji Kexue is the property of Economic Science Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Arid Land Geography is the property of Chinese Academy of Sciences, Xinjiang Institute of Ecology & Geography and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Railway Science & Engineering is the property of Journal of Railway Science & Engineering Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Shandong Medical Journal is the property of Shandong Medical Health Newspapers and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)