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9篇 您的检索式:作者名="Zhengping XI"
    题名 作者 年代 出处 被引量
1Impact factors of fractal analysis of porous structure显示文摘Characterization of pore structure is one of the key problems for fabrication and application research on porous materials. But, complexity of pore structure makes it difficult to characterize pore structure by Euclidean geometry and traditional experimental methods. Fractal theory has been proved effective to characterize the complex pore structure. The box dimension method based on fractal theory was applied to characterizing the pore structure of fiber porous materials by analyzing the electronic scanning microscope (SEM) images of the porous materials in this paper. The influences of image resolution, threshold value, and image magnification on fractal analysis were investigated. The results indicate that such factors greatly affect fractal analysis process and results. The appropriate magnification threshold and fractal analysis are necessary for fractal analysis.TANG HuiPing, ZHU JiLei, XI ZhengPing, DI XiaoBo, WANG JianYong & AO QingBo State Key Laboratory of Porous Metal Materials, Northwest Institute for Nonferrous Metal Research, Xi’an 710016, China 2010Science China(Technological Sciences)2010,53,2:6
2Growth kinetics of titanium boride layers on the surface of Ti6Al4V显示文摘Dual titanium boride layers consisting of continuous TiB2 top-layer and TiB whisker sublayer were formed on the surface of Ti6Al4V alloy using powder-pack boriding technique. An iso-thickness diagram of the whole boride layer was fitted with the data of thickness of the coating, treatment time and process temperature using Sigma Plot10.0 software. Growth kinetics of the titanium boride layer were analyzed by measuring the extent of penetration of TiB2 and TiB whisker as a function of boriding time in the range of 5-20 h and boriding temperature in the range of 1000-1100 ℃. By the linear regression analysis of growth kinetics of titanium boride layer, the diffusivity K and average diffusion activation energy (Q) of boron atoms in Ti6Al4V alloy were calculated, respectively.Fenghua LI Xiaohong YI Jinglei ZHANG Zhanguo FAN Dianting GONG Zhengping XI 2010Acta Metallurgica Sinica(English Letters)2010,23,4:4
3Rare Metal Materials and Engineering显示文摘Wang Ruining Xi Zhengping Zhao Yongqing 200837(8):13562008,37,8:1
4Influence of porosity on quasi-static compressive properties of porous metal media fabricated by stainless steel fibers显示文摘Jichao Qiao Zhengping Xi Huiping Tang Jianyong Wang Jilei Zhu 2008Materials and Design2008,,7:1
5“Ex situ” concept for toughening the RTMable BMI matrix composites Part I ; Improving the interlaminar fracture toughness显示文摘Cheng Qunfeng Fang Zhengping Yi Xiaosu An Xuefeng Bangming Tang Yahong Xi 2008Journal of Applied Polymer Science2008,109,3:1
6Effect of TiOz cathode performance on preparation of Ti by eleetro-deoxidation显示文摘Du Jihong Xi Zhengping Li Qingyu 2007Trans Nonfer Met Soc China2007,17,:1
7A four-band index for both liquid and solid water and its applications in the Aral Sea Basin显示文摘Various investigations have been conducted to analyze the water-coverage area of the Aral Sea and the Aral Sea Basin(ASB). However, the investigations incorporated considerable uncertainty and the used water indices had misclassification problem, which made different research groups present different results. Thus we first ascertain the boundaries of the ASB, the Syr and Amu river basins as well as their upper, middle and lower reaches. Then a four-band index for both liquid and solid water(ILSW) is proposed to address the misclassification problems of the classic water indices. ILSW is calculated by using the reflectance values of the green, red, near infrared, and thermal infrared bands, which combines the normalized difference water index(NDWI) and land surface temperature(LST) together. Validation results show that the ILSW water index has the highest accuracy by far in the Aral Sea Basin. Our results indicate that annual average decline of the water-coverage area was 963 km^(2) in the southern Aral Sea, whereas the northern Aral Sea has experienced little change. In the meanwhile, permanent ice and snow in upper reach of ASB has retreated considerably. Annual retreating rates of the permanent ice and snow were respectively 6233and 3841 km^(2) in upper reaches of Amu river basin(UARB) and Syr river basin(USRB). One of major reasons is that climate has become warmer in ASB. The climate change has caused serious water deficit problem. The water deficit had an increasing trend since the 1990s and its increasing rates was 3.778 billion m^(3) yearly on average. The total water deficit was 76.967 billion m^(3) on average in the whole area of ASB in the 2010s. However, up reaches of Syr river basin(USRB), a component area of ASB, had water surplus of 25.461 billion m^(3). These conclusions are useful for setting out a sustainable development strategy in ASB.Bing YUE Xi CHEN Saibo LI Zhengping DU John WILSON Junhui YANG Yimen JIAO Shuangyan HUANG Chenghu ZHOU 2024Science China Earth Sciences2024,67,3:0
8Spatial Distribution of Parvalbumin-Positive Fibers in the Mouse Brain and Their Alterations in Mouse Models of Temporal Lobe Epilepsy and Parkinson’s Disease显示文摘Parvalbumin interneurons belong to the major types of GABAergic interneurons.Although the distribution and pathological alterations of parvalbumin interneuron somata have been widely studied,the distribution and vulnerability of the neurites and fibers extending from parvalbumin interneurons have not been detailly interrogated.Through the Cre recombinase-reporter system,we visualized parvalbumin-positive fibers and thoroughly investigated their spatial distribution in the mouse brain.We found that parvalbumin fibers are widely distributed in the brain with specific morphological characteristics in different regions,among which the cortex and thalamus exhibited the most intense parvalbumin signals.In regions such as the striatum and optic tract,even long-range thick parvalbumin projections were detected.Furthermore,in mouse models of temporal lobe epilepsy and Parkinson’s disease,parvalbumin fibers suffered both massive and subtle morphological alterations.Our study provides an overview of parvalbumin fibers in the brain and emphasizes the potential pathological implications of parvalbumin fiber alterations.Changgeng Song Yan Zhao Jiajia Zhang Ziyi Dong Xin Kang Yuqi Pan Jinle Du Yiting Gao Haifeng Zhang Ye Xi Hui Ding Fang Kuang Wenting Wang Ceng Luo Zhengping Zhang Qinpeng Zhao Jiazhou Yang Wen Jiang Shengxi Wu Fang Gao 2023Neuroscience Bulletin2023,39,11:0
9Correction:Spatial Distribution of Parvalbumin‑Positive Fibers in the Mouse Brain and Their Alterations in Mouse Models of Temporal Lobe Epilepsy and Parkinson’s Disease显示文摘In this article the wrong figure appeared as Fig.3,the figure should have appeared as shown below.Changgeng Song Yan Zhao Jiajia Zhang Ziyi Dong Xin Kang Yuqi Pan Jinle Du Yiting Gao Haifeng Zhang Ye Xi Hui Ding Fang Kuang Wenting Wang Ceng Luo Zhengping Zhang Qinpeng Zhao Jiazhou Yang Wen Jiang Shengxi Wu Fang Gao 2023Neuroscience Bulletin2023,39,11:0
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