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The Manufacture and Technology of the Ferrite Materials in China
YingLi,HuipingShao,Yu-QiangHuang 한국자원리싸이클링학회 2002 資源 리싸이클링 Vol.11 No.5
China is a large country for the production of magnetic materials because of its cheap price and abundant raw materials. The total yield of ferrite occupies about 20% fraction in the market of the world. In this report, the characteristics and the yield of the ferrite magnet produced in China were displayed. Also the distribution of manufacturers and research institutes and the Chinas 10th five-year-plan on the magnetic materials were reviewed.
Yingli Yu,MinWang,Rongchang Chen,Xiao Sun,Guibo Sun,Xiaobo Sun 고려인삼학회 2021 Journal of Ginseng Research Vol.45 No.6
Background: Effective strategies are dramatically needed to prevent and improve the recovery frommyocardialischemia and reperfusion (I/R) injury. Direct interactions between the mitochondria and endoplasmic reticulum(ER) during heart diseases have been recently investigated. This study was designed to explore the cardioprotectiveeffects of gypenoside XVII (GP-17) against I/R injury. The roles of ER stress, mitochondrial injury,and their crosstalk within I/R injury and in GP-17einduced cardioprotection are also explored. Methods: Cardiac contractility function was recorded in Langendorff-perfused rat hearts. The effects ofGP-17 on mitochondrial function including mitochondrial permeability transition pore opening, reactiveoxygen species production, and respiratory function were determined using fluorescence detection kitson mitochondria isolated from the rat hearts. H9c2 cardiomyocytes were used to explore the effects ofGP-17 on hypoxia/reoxygenation. Results: We found that GP-17 inhibits myocardial apoptosis, reduces cardiac dysfunction, and improvescontractile recovery in rat hearts. Our results also demonstrate that apoptosis induced by I/R is predominantlymediated by ER stress and associated with mitochondrial injury. Moreover, the cardioprotectiveeffects of GP-17 are controlled by the PI3K/AKT and P38 signaling pathways. Conclusion: GP-17 inhibits I/R-induced mitochondrial injury by delaying the onset of ER stress throughthe PI3K/AKT and P38 signaling pathways.
Yingli Jiang,Jie Cui,Yanlong Zhang 대한토목학회 2023 KSCE Journal of Civil Engineering Vol.27 No.8
Flood has become the main hidden threat to the safety of the karst tunnel. Scientific and reasonable flood classification assessment and prevention measures have also become the main problems to be solved urgently in the construction and operation of tunnels. Aiming at the problems of multiple influencing factors, complex index systems, and linear processing of the connection degree of set pair analysis, a set pair cloud model based on cloud theory eigenvalues is proposed to optimize the connection degree of set pair analysis. Regarding the uncertainty of the evaluation system and the ambiguity of the evaluation grade boundary, firstly, the ridge-type membership function is used to determine the basic probability distribution of each measured index. Secondly, the distance discrimination weighting theory based on the index distance is also established, so that each measured index can assign the dynamic weight of the evaluation system. It can comprehensively determine the weight of the cloud connection degree for the system, and draw the cloud level diagram to determine the tunnel flood risk level. Finally, the proposed model is verified with tunnel flood. The results show that the evaluation results are consistent with other evaluation models and actual tunnel conditions. This model can provide guidance for flood prediction and prevention in karst tunnels.
A Data Transmission Method for Resource Monitoring under Cloud Computing Environment
Ying Jiang,Heng Sun,Jiaman Ding,Yingli Liu 보안공학연구지원센터 2015 International Journal of Grid and Distributed Comp Vol.8 No.2
Currently, the combined push-pull model is usually applied in the resource monitoring under cloud computing environment. However, the quantity of data gathered by the producers is much less than those received by the monitor so that a lot of resource is wasted. In order to maintain the data consistency of real time system, an improved adaptive algorithm based on combined push-pull model is proposed. The adaptive strategy is added on the producers that aims to predict when refreshes data came from the monitor using the history data. Experimental result shows that the algorithm can decrease the resource consumption while exchanging data effectively.
Distributed optimization and statistical learning for large-scale penalized expectile regression
Pan Yingli 한국통계학회 2021 Journal of the Korean Statistical Society Vol.50 No.1
Large-scale data from various research felds are not only heterogeneous and sparse but also difcult to store on a single machine. Expectile regression is a popular alternative for modeling heterogeneous data. In this paper, we devise a distributed optimization approach to SCAD and adaptive LASSO penalized expectile regression, where the observations are randomly partitioned across multiple machines. We construct a penalized communication-efcient surrogate loss (CSL) function. Computationally, our method based on the CSL function requires only the master machine to solve a regular M-estimation problem, while other worker machines compute the gradient of the loss function on local data. Our method matches the estimation error bound of the centralized method during consecutive rounds of communication. Under some mild assumptions, we establish the oracle properties of the SCAD and adaptive LASSO penalized expectile regression. We then develop a modifed alternating direction method of multipliers (ADMM) algorithm for the implementation of the proposed estimator. A series of simulation studies are conducted to assess the fnite-sample performance of the proposed estimator. Applications to an HIV study demonstrate the practicability of the proposed method.