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2,064 results on '"Xie, Min"'

2. Are children with IgA nephropathy different from adult patients?

Author

Su, Baige, Jiang, Yuanyuan, Li, Zhihui, Zhou, Jianhua, Rong, Liping, Feng, Shipin, Zhong, Fazhan, Sun, Shuzhen, Zhang, Dongfeng, Xia, Zhengkun, Feng, Chunyue, Huang, Wenyan, Li, Xiaoyan, Chen, Chaoying, Hao, Zhihong, Wang, Mo, Qin, Li, Chen, Minguang, Li, Yuanyuan, Ding, Juanjuan, Bao, Ying, Liu, Xiaorong, Deng, Fang, Cheng, Xueqin, Zhang, Li, Zhang, Xuan, Yang, Huandan, Peng, Xiaojie, Sun, Qianliang, Deng, Linxia, Jiang, Xiaoyun, Xie, Min, Gao, Yan, Yu, Lichun, Liu, Ling, Gao, Chunlin, Mao, Jianhua, Zheng, Weihua, Dang, Xiqiang, Xia, Hua, Wang, Yujie, Zhong, Xuhui, Ding, Jie, Lv, Jicheng, and Zhang, Hong

Published
2024
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12. Microstructure and mechanical properties of Sc2O3-Y2O3 co-doped ZrO2 ceramic materials for thermal barrier coating

Author

WANG Zhigang, LIU Rengqian, XIE Min, ZHANG Yonghe, WANG Xuanli, SONG Xiwen, CHANG Zhendong, LIU Delin, and MU Rende

Subjects
thermal barrier coating, rare earth doping, zirconia, scandia, microstructure, mechanical property, Materials of engineering and construction. Mechanics of materials, TA401-492
Abstract

Partially stabilized zirconia （7YSZ） with a mass fraction of 7±1% yttrium oxide is a widely used ceramic material for thermal barrier coatings. However， its phase stability， sintering resistance， and mechanical properties decreased during the long-time operation above 1200 ℃. A new type of Sc2O3-Y2O3 co-doped ZrO2 thermal barrier coating ceramic material was proposed ， and a molar fraction of 7.5%Sc2O3-x%Y2O3-（92.5-x）%ZrO2（x=0，0.1，0.2，0.3） ceramics were prepared by solid-state reaction method. The effects of Y2O3 doping on the microstructural， phase evolution， and mechanical properties（including Vickers hardness， fracture toughness， elastic modulus and three-point bending strength）were explored by XRD， SEM， and other testing methods. The results show that the relative density of Sc2O3-Y2O3 doped ZrO2 ceramics sintered at 1450 °C for 3.5 h is more than 97%， and the phase structure is composed of tetragonal phase. Compared with 6-8YSZ ceramics， Sc2O3-Y2O3 doped ZrO2 ceramics exhibit similar Vickers hardness （13-14 GPa）， fracture toughness （6.5-7.0 MPa·m1/2）， elastic modulus （211-214 GPa）and three-point bending strength（520-850 MPa）. Fracture mechanism shows a mixture of transgranular and intergranular fracture modes， in which transgranular fracture is dominant.This ceramic can be explored as a potential thermal barrier coating material for high-temperature applications.

Published
2024
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13. An object detection model for power equipment based on SVGA-Net

Author

CHEN Yong, LI Song, JIN Weiping, XIE Min, and YANG Yongkun

Subjects
attention network, object detection, geometric manifold, volume pixel, Electrical engineering. Electronics. Nuclear engineering, TK1-9971
Abstract

Convolutional neural networks （CNNs） struggle to efficiently capture contextual information of power equipment such as arresters and GIS inlet casings due to their limited receptive fields， thereby affecting detection performance. To address this issue， the paper introduces a Transformer-based voxel-graph attention network. Local attention and dilated attention mechanisms are proposed to respectively capture short-range and long-range feature correlations within image volume pixels， effectively expanding the attention scope while keeping computational costs unchanged. Additionally， submanifold voxel modules and sparse voxel modules are designed to extract feature information from non-empty voxel positions and empty voxel positions， respectively. Finally， through comparative analysis with mainstream models on the general datasets Waymo and KITTI， as well as on an image dataset from a transmission and transformation area in Yunnan Province， the superior performance of the proposed model in detecting power equipment is demonstrated.

Published
2024
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18. Risk prediction models of dangerous behaviors among patients with severe mental disorder in community

Author

Hu Xuanyi, Xie Min, Liu Siyi, Wu Yulu, Wu Xiangrui, Liu Yuanyuan, He Changjiu, Dai Guangzhi, and Wang Qiang

Subjects
severe mental disorder, dangerous behaviors, predictive model, community, Psychology, BF1-990, Psychiatry, RC435-571
Abstract

BackgroundThe occurrence rate of dangerous behaviors in patients with severe mental disorders is higher than that of the general population. In China， there is limited research on the prediction of dangerous behaviors in community-dwelling patients with severe mental disorders， particularly in terms of predicting models using data mining techniques other than traditional methods.ObjectiveTo explore the influencing factors of dangerous behaviors in community-dwelling patients with severe mental disorders and testing whether the classification decision tree model is superior to the Logistic regression model.MethodsA total of 11 484 community-dwelling patients with severe mental disorders who had complete follow-up records from 2013 to 2022 were selected on December 2023. The data were divided into a training set （n=9 186） and a testing set （n=2 298） in an 8∶2 ratio. Logistic regression and classification decision trees were separately used to establish predictive models in the training set. Model discrimination and calibration were evaluated in the testing set.ResultsDuring the follow-up period， 1 115 cases （9.71%） exhibited dangerous behaviors. Logistic regression results showed that urban residence， poverty， guardianship， intellectual disability， history of dangerous behaviors， impaired insight and positive symptoms were risk factors for dangerous behaviors （OR=1.778， 1.459， 2.719， 1.483， 3.890， 1.423， 2.528， 2.124， P

Published
2024
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