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336 results on '"Zhang, Zhixia"'

1. Exosome is a Fancy Mobile Sower of Ferroptosis

Author

Hou, Qin, Ouyang, Siyu, Xie, Zhongcheng, He, Yinling, Deng, Yunong, Guo, Jiamin, Yu, Panpan, Tan, Xiaoqian, Ma, Wentao, Li, Pin, Yu, Jiang, Mo, Qinger, Zhang, Zhixia, Chen, Dandan, Lin, Xiaoyan, Liu, Zhiyang, Chen, Xi, Peng, Tianhong, Li, Liang, and Xie, Wei

Published
2024
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13. The dual role of FSP1 in programmed cell death: resisting ferroptosis in the cell membrane and promoting necroptosis in the nucleus of THP-1 cells

Author

Tan, Xiaoqian, He, Yinling, Yu, Panpan, Deng, Yunong, Xie, Zhongcheng, Guo, Jiami, Hou, Qin, Li, Pin, Lin, Xiaoyan, Ouyang, Siyu, Ma, Wentao, Xie, Yushu, Guo, Zilong, Chen, Dandan, Zhang, Zhixia, Zhu, Yunyu, Huang, Fei, Zhao, Ziye, Zhang, Cen, Guo, Zhirong, Chen, Xi, Peng, Tianhong, Li, Liang, and Xie, Wei

Published
2024
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44. Federated malware detection based on many‐objective optimization in cross‐architectural IoT.

Author

Zhang, Zhigang, Zhang, Zhixia, and Cui, Zhihua

Subjects
MALWARE, INTERNET of things, BLOOM'S taxonomy, MALWARE prevention, FEDERATED learning
Abstract

Summary: With the rising adoption of the Internet of Things (IoT) across a variety of industries, malware is increasingly targeting the large number of IoT devices that lack adequate protection. Malware hunting is challenging in the IoT due to the variety of instruction set architectures of devices, as shown by the differences in the relevant characteristics of malware on different platforms. There are also serious concerns about resource utilization and privacy leaks in the development of conventional detection models. This study suggests a novel federated malware detection framework based on many‐objective optimization (FMDMO) for the IoT to overcome the problems. First, the framework provides a cross‐platform compatible basis with the federated mechanism as the backbone, while avoiding raw data sharing to improve privacy protection. Second, an intelligent optimization‐based client selection method is designed for four objectives: learning performance, architectural selection deviation, time consumption, and training stability, which leads malware detection to retain a high degree of cross‐architectural generalization while enhancing training efficiency. Based on a large IoT malware dataset we constructed, containing 62,515 malware samples across seven typical architectures, the FMDMO is evaluated comprehensively in three scenarios. The experimental results demonstrate the FMDMO substantially enhances the model's cross‐platform detection performance while preserving effective training and flexibility. [ABSTRACT FROM AUTHOR]

Published
2024
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45. A highly selective ratio-metric fluorescent sensor for visualizing nitroreductase in hypoxic cells.

Author

Xu, Yumei, Hu, Bing, Cui, Yanjun, Li, Li, Nian, Fang, Zhang, Zhixia, and Wang, Wenting

Subjects
DETECTORS, MOLECULAR probes, HYPOXEMIA
Abstract

Herein, we have developed a novel single-molecular probe (NORP) for selective and accurate determination of NTR in living cells. It was discovered that up-regulation of endogenous NTR occurred in response to hypoxic stimulation, and there was a dependence between the NTR levels and the degree of hypoxia. [ABSTRACT FROM AUTHOR]

Published
2024
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46. Metal–Organic Gel Leading to Customized Magnetic-Coupling Engineering in Carbon Aerogels for Excellent Radar Stealth and Thermal Insulation Performances.

Author

Li, Xin, Hu, Ruizhe, Xiong, Zhiqiang, Wang, Dan, Zhang, Zhixia, Liu, Chongbo, Zeng, Xiaojun, Chen, Dezhi, Che, Renchao, and Nie, Xuliang

Subjects
THERMAL insulation, AEROGELS, ELECTROMAGNETIC wave absorption, RADAR, KIRKENDALL effect, ENGINEERING
Abstract

Highlights: Fe3+, Co2+, H3BTC, and collagen peptide are used to achieve a one-step assembly of stable FeCo-MOG/CP by manipulating the complexation effect and solution polarity. By optimizing pyrolysis, two kinds of nitrogen-doped carbon aerogels loaded with virus-shaped and nanospherical magnetic particles are obtained. FeCo/Fe3O4/NC and FeCo/NC aerogels exhibit excellent electromagnetic wave absorbing and radar stealth performances. Metal–organic gel (MOG) derived composites are promising multi-functional materials due to their alterable composition, identifiable chemical homogeneity, tunable shape, and porous structure. Herein, stable metal–organic hydrogels are prepared by regulating the complexation effect, solution polarity and curing speed. Meanwhile, collagen peptide is used to facilitate the fabrication of a porous aerogel with excellent physical properties as well as the homogeneous dispersion of magnetic particles during calcination. Subsequently, two kinds of heterometallic magnetic coupling systems are obtained through the application of Kirkendall effect. FeCo/nitrogen-doped carbon (NC) aerogel demonstrates an ultra-strong microwave absorption of − 85 dB at an ultra-low loading of 5%. After reducing the time taken by atom shifting, a FeCo/Fe3O4/NC aerogel containing virus-shaped particles is obtained, which achieves an ultra-broad absorption of 7.44 GHz at an ultra-thin thickness of 1.59 mm due to the coupling effect offered by dual-soft-magnetic particles. Furthermore, both aerogels show excellent thermal insulation property, and their outstanding radar stealth performances in J-20 aircraft are confirmed by computer simulation technology. The formation mechanism of MOG is also discussed along with the thermal insulation and electromagnetic wave absorption mechanism of the aerogels, which will enable the development and application of novel and lightweight stealth coatings. [ABSTRACT FROM AUTHOR]

Published
2023
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50. The Influencing Factors of Biochar’s Characteristics and the Development of Carbonization Equipments: A Review

Author

Xia, Lingzhi, Wang, Yonggang, Meng, Jun, Chen, Wenfu, Zhang, Zhixia, Barbosa, Simone Diniz Junqueira, Editorial Board Member, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Kotenko, Igor, Editorial Board Member, Yuan, Junsong, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Bian, Fuling, editor, and Xie, Yichun, editor

Published
2016
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