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      • Analysis of Integrating the Yan'an Spirit into University Education in China's New Era

        Hou Tianzuo(Tianzuo Hou),Zheng Xueyin(Xueyin Zheng) 아시아사회과학학회 2023 Jornal of Asia Social Science Vol.10 No.2

        The Yan'an Spirit is a unique ideological and cultural phenomenon that emerged during the period of China's War of Resistance against Japan. It represents the experience summary and theoretical innovation of the Chinese nation in the Yan'an area. The Yan'an Spirit is an important part of China's spiritual heritage with rich connotations. It not only enabled the Chinese nation to defeat the Japanese invaders in conjunction with the international community during World War II, but also helped to establish a more confident national identity, providing great impetus for China's modernization. Today, university education in China has the mission of cultivating students. Integrating the Yan'an Spirit into university education can help college students strengthen their ideals and beliefs, and persist in seeking truth from facts. Therefore, in the new era, it is necessary to combine the characteristics of China's university education with the actual situation of universities' own development, and continually explore innovative paths to integrate the Yan'an Spirit into university education in China.

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        Experimental Investigation on the Effect of Volume Loss on Ground Movements Induced by Tunnelling in Sand

        Tianzuo Wang,Ruipeng Wang,Fei Xue,Ningbo Tang 대한토목학회 2023 KSCE Journal of Civil Engineering Vol.27 No.1

        Complex ground conditions or support failures during tunnel construction can lead to high ground loss, which may cause damage to surrounding structures. In this paper, a series model tests are carried out in order to clarify tunnelling-induced ground deformation at high ground loss conditions. The model tunnel in this test is shallowly buried in loose sand and the tunnel volume loss (Vl,t) is set from 4% to 10%. The Vl,t is controlled by a water-filling-drainage system and the ground deformation is monitored by digital image correlation (DIC) system. The results show that the Peck-Gaussian function can be used to fit the settlement data well, and the increase of Vl,t has no significant effect on the width of the settlement trough, while the horizontal displacement can be described by modified empirical method. The width of influence aera caused by tunnelling decreases linearly with depth, and the width near the tunnel crown is about 78% of that on the surface. For loose sand ground, it is the shear band rather than the soil arch that dominates the ground deformation. Furthermore, excavation leads to a volume contraction of the ground, which suggests predictions based on tunnel over-excavation trend to underestimate the ground deformation, and that should be taken seriously in consideration of the safety of the engineering project. This study can provide a better understanding of ground deformation induced by tunnelling.

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        CDN Scalability Improvement using a Moderate Peer-assisted Method

        ( Peichang Shi ),( Huaimin Wang ),( Hao Yin ),( Bo Ding ),( Tianzuo Wang ),( Miao Wang ) 한국인터넷정보학회 2012 KSII Transactions on Internet and Information Syst Vol.6 No.3

        Content Delivery Networks (CDN) server loads that fluctuant necessitate CDN to improve its service scalability especially when the peak load exceeds its service capacity. The peer assisted scheme is widely used in improving CDN scalability. However, CDN operators do not want to lose profit by overusing it, which may lead to the CDN resource utilization reduced. Therefore, improving CDN scalability moderately and guarantying CDN resource utilization maximized is necessary. However, when and how to use the peer-assisted scheme to achieve such improvement remains a great challenge. In this paper, we propose a new method called Dynamic Moderate Peer-assisted Method (DMPM), which uses time series analysis to predict and decide when and how many server loads needs to offload. A novel peer-assisted mechanism based on the prediction designed, which can maximize the profit of the CDN operators without influencing scalability. Extensive evaluations based on an actual CDN load traces have shown the effectiveness of DMPM.

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