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Application of Tai Chi Cultural Semiotic Symbols in Chinese Construction of National Image
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作者 Gaofeng zhang hengbo zhang 《Journal of Educational Theory and Management》 2017年第1期91-94,共4页
In recent years, a rapid growth of the global economy has strengthened the competition among nations. To be at a favorable international advantage under such an environment, a positive national image is necessary. As ... In recent years, a rapid growth of the global economy has strengthened the competition among nations. To be at a favorable international advantage under such an environment, a positive national image is necessary. As a result, this paper analyzes the application of Tai Chi cultural semiotic symbols in Chinese construction of national image under the discussion on the selection of culture symbol in Chinese construction of national image, as a base, through its positioning with an introduction of Tai Chi - Chinese unique culture symbol. Finally, this paper explains the application tactics in Chinese construction of national image by Tai Chi culture symbol, laying a good foundation for the improvement of Chinese international status. 展开更多
关键词 National image TAI CHI CULTURE SYMBOL
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Self-shrinking supramolecular nanoparticles syndicate energy suppression and NIR-II mild photothermal amplification of mitochondrial oxidative stress for breast cancer therapy
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作者 Hongmei Liu Jiming Xu +6 位作者 Mengjie Ye hengbo zhang Linlin Han Jingting Wang Peng Xue Yuejun Kang Zhigang Xu 《Nano Research》 SCIE EI CSCD 2024年第5期4314-4328,共15页
Photothermal therapy(PTT)may lead to healthy tissue damage,tumor metastasis,and recurrence,which makes mild photothermal therapy(mild PTT)stand out.However,overcoming heat resistance,insufficient therapeutic effect,an... Photothermal therapy(PTT)may lead to healthy tissue damage,tumor metastasis,and recurrence,which makes mild photothermal therapy(mild PTT)stand out.However,overcoming heat resistance,insufficient therapeutic effect,and poor photothermal conversion efficiency has become new challenge.Herein,we report a dynamic supramolecular nanocarrier formed from amide-sericin and aldehyde-polyhydroxy glucan(denoted as SDA),the loose cavity of which can be filled by using the pharmaceutical combination of lonidamine(LND)and NIR-II photothermal agent of IR-1061,producing SDLI with a tighter inner hole,smaller and uniform particle size and excellent stability due to multiple pulling forces.Moreover,the intricate internal network structure prevents the hydrophobic IR-1061 from forming aggregates in the small cavity,and the photothermal conversion efficiency(PCE)can reach 48.9%.At the acidic tumor microenvironment of pH 6.5,the controlled release of LND can solve the problem of heat resistance of NIR-II mild PTT and significantly improve the therapeutic effect of NIR-II mild PTT.Meanwhile,SDLI also shows a reasonable tumor inhibition rate,so the synergistic strategy of inhibiting tumor energy metabolism and NIR-II mild PTT to magnify mitochondrial oxidative stress,continuous cell stress state-induced immunogenic cell death to promote the induction of tumor apoptosis is proposed to achieve more effective cancer treatment. 展开更多
关键词 self-shrinkage dynamic supramolecular nanoparticles tumor energy metabolism NIR-II mild photothermal therapy mitochondrial oxidative stress
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Supervised Deep Second-Order Covariance Hashing for Image Retrieval
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作者 Qian Wang YueWu +3 位作者 Jianxin zhang hengbo zhang Chao Che Lin Shan 《国际计算机前沿大会会议论文集》 2020年第1期476-487,共12页
Recently,deep hashing methods play a pivotal role in image retrieval tasks by combining advanced convolutional neural networks(CNNs)with efficient hashing.Meanwhile,second-order representations of deep convolutional a... Recently,deep hashing methods play a pivotal role in image retrieval tasks by combining advanced convolutional neural networks(CNNs)with efficient hashing.Meanwhile,second-order representations of deep convolutional activations have been established to effectively improve network performance in various computer vision applications.In this work,to obtain more compact hash codes,we propose a supervised deep second-order covariance hashing(SDSoCH)method by combining deep hashing with second-order statistic model.SDSoCH utilizes a powerful covariance pooling to model the second-order statistics of convolutional features,which is naturally integrated into the existing point-wise hashing network in an end-to-end manner.The embedded covariance pooling operation well captures the interaction of convolutional features and produces global feature representations with more discriminant capability,leading to the more informative hash codes.Extensive experiments conducted on two benchmarks demonstrate that the proposed SDSoCH outperforms its first-order counterparts and achieves superior retrieval performance. 展开更多
关键词 Deep hashing Point-wise manner Covariance pooling Image retrieval
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