8 results on '"Sizhe He"'
Search Results
2. An Event-Triggered Hybrid System Model for Cascading Failure in Power Grid
- Author
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Yujie Yang, Yadong Zhou, Jiang Wu, Zhanbo Xu, Sizhe He, Xiaohong Guan, and Ting Liu
- Subjects
Control and Systems Engineering ,Electrical and Electronic Engineering - Published
- 2022
- Full Text
- View/download PDF
3. Research on the behaviour and mechanism of void welding based on multiple scales
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Ruxing Shi, Xingsheng Yu, Huiqin Chen, Yongxing Jiao, Juan Chen, Fei Chen, and Sizhe He
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Mechanics of Materials ,General Materials Science ,Physical and Theoretical Chemistry ,Condensed Matter Physics - Abstract
As the core foundation of major national equipment, large forgings have a great influence on the national economic construction, the development of national defence equipment and the development of modern cutting-edge science and technology. In the production of large forgings, welding the internal void of forgings is a technical problem that directly affects the quality of large forgings. In view of the phenomenon of void welding in large forgings, the behaviour and mechanism of void welding were deeply studied based on the stretching test and molecular dynamics simulation, combined with a lot of theoretical analysis. The results show that multi-pass stretching deformation is a kind of plastic deformation process which can eliminate void defects. When the forging ratio reaches 2.2, the void can be welded completely and the tensile strength can be restored to the level of the matrix. With the increase of compression deformation, the stress will increase sharply, especially at the grain boundary. In addition, the main void welding mechanism of 30Cr2Ni4MoV steel is the recrystallization and grain growth mechanism. Recrystallization and grain growth are of great significance for promoting the reduction of void volume and realizing metallurgical bonding of the interface.
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- 2023
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4. Molecular dynamics simulation of nanocrack closure mechanism and interface behaviors of polycrystalline austenitic steel
- Author
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Huiqin Chen, Sizhe He, Juan Chen, Fei Chen, Sairu Zhang, and Yingfan Zhang
- Subjects
Materials Science (miscellaneous) - Abstract
Void-type defects in heavy forgings deteriorate their mechanical properties and service life. In this work, the evolutions of a pre-crack closure and the healing and mechanical properties of FeCrNi polycrystalline samples are assessed under different loading conditions using molecular dynamics simulation. The stress–strain curves show that the sample with interface exhibits higher Young’s modulus and yield strength than those with cracks, despite the loading conditions. These results imply that samples under compression loading have a higher ability to resist plasticity, while the shear stress facilitates plastic flow. Crack closure and healing occur under compression stress by dislocation-dominant plastic deformation, while the crack length shrinks and the crack tips expand along grain boundaries (GBs) and the interface because of its higher stress under shear loading. Dislocation activities, including dislocation emission, slip, and interactions with cracks, grain boundaries, and dislocations, contribute to the plasticity of the specimen under compressive loading. In addition to dislocation activities, grain boundary slip, grain rotation, and twinning are potential plastic-deformation mechanisms under shear loading.
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- 2022
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5. A physicochemical double-cross-linked gelatin hydrogel with enhanced antibacterial and anti-inflammatory capabilities for improving wound healing
- Author
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Yapeng Lu, Meihui Zhao, Ye Peng, Sizhe He, Xiaopeng Zhu, Chao Hu, Guanghua Xia, Tao Zuo, Xueying Zhang, Yonghuan Yun, Weimin Zhang, and Xuanri Shen
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Inflammation ,Wound Healing ,Polymers ,Iron ,Biomedical Engineering ,Anti-Inflammatory Agents ,Pharmaceutical Science ,Medicine (miscellaneous) ,Bioengineering ,Hydrogels ,Applied Microbiology and Biotechnology ,Anti-Bacterial Agents ,Rats ,Wound Infection ,Molecular Medicine ,Animals ,Gelatin ,Schiff Bases - Abstract
Background Skin tissue is vital in protecting the body from injuries and bacterial infections. Wound infection caused by bacterial colonization is one of the main factors hindering wound healing. Wound infection caused by colonization of a large number of bacteria can cause the wound to enter a continuous stage of inflammation, which delays wound healing. Hydrogel wound dressing is composed of natural and synthetic polymers, which can absorb tissue fluid, improve the local microenvironment of wound, and promote wound healing. However, in the preparation process of hydrogel, the complex preparation process and poor biological efficacy limit the application of hydrogel wound dressing in complex wound environment. Therefore, it is particularly important to develop and prepare hydrogel dressings with simple technology, good physical properties and biological effects by using natural polymers. Results In this study, a gelatin-based (Tsg-THA&Fe) hydrogel was created by mixing trivalent iron (Fe3+) and 2,3,4-trihydroxybenzaldehyde (THA) to form a complex (THA&Fe), followed by a simple Schiff base reaction with tilapia skin gelatin (Tsg). The gel time and rheological properties of the hydrogels were adjusted by controlling the number of complexes. The dynamic cross-linking of the coordination bonds (o-phthalmictriol-Fe3+) and Schiff base bonds allows hydrogels to have good self-healing and injectable properties. In vitro experiments confirmed that the hydrogel had good biocompatibility and biodegradability as well as adhesion, hemostasis, and antibacterial properties. The feasibility of Tsg-THA&Fe hydrogel was studied by treating rat skin trauma model. The results showed that compared with Comfeel® Plus Transparent dressing, the Tsg-THA&Fe hydrogel could obvious reduce the number of microorganisms, prevent bacterial colonization, reduce inflammation and accelerate wound healing. Local distribution of the Tsg-THA&Fe hydrogel in the skin tissue did not cause organ toxicity. Conclusions In summary, the preparation process of Tsg-THA&Fe hydrogel is simple, with excellent performance in physical properties and biological efficacy. It can effectively relieve inflammation and control the colonization of wound microbes, and can be used as a multi-functional dressing to improve wound healing. Graphical Abstract
- Published
- 2022
6. Identifying Vulnerable Set of Cascading Failure in Power Grid Using Deep Learning Framework
- Author
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Zhanbo Xu, Sizhe He, Yadong Zhou, Xiaohong Guan, Ting Liu, Wei Chen, and Jiang Wu
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Computer science ,business.industry ,Deep learning ,computer.software_genre ,Autoencoder ,Cascading failure ,Data modeling ,Set (abstract data type) ,Electric power system ,Identification (information) ,Artificial intelligence ,Data mining ,business ,Power-system protection ,computer - Abstract
The cascading failure is a typical failure propagation process which can cause significant consequence to the power system. It can be triggered by the vulnerable set composed of combinations of transmission lines with specific failures. So it is of great significance to identify the vulnerable set. In this paper, we propose an identification model for the vulnerable set under deep learning framework. The main part of the model consists of autoencoder and classification network for reducing dimensionality and identifying vulnerable set respectively. The model is trained by the data generated from cascading failure simulation platform. We conduct experiments on IEEE 30-Bus and 200-Bus systems with different initial failures to validate the identification and generalization capability. And the time consumption is also discussed to demonstrate the efficiency of the model. All of the indicators prove that the model is capable of identifying the vulnerable set effectively.
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- 2021
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7. Detection Method for Tolerable False Data Injection Attack Based on Deep Learning Framework
- Author
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Sizhe He, Yadong Zhou, Wei Chen, and Xiaoliang Lv
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business.industry ,Generalization ,Computer science ,Deep learning ,010401 analytical chemistry ,02 engineering and technology ,021001 nanoscience & nanotechnology ,computer.software_genre ,01 natural sciences ,0104 chemical sciences ,Data modeling ,Set (abstract data type) ,Artificial intelligence ,Data mining ,0210 nano-technology ,business ,computer - Abstract
The electric power system is one of the major infrastructures of a country. The ordinary False Data Injection (FDI) is a classical attack on it, which can obstruct normal operation of the electric power system. But the planning and implement of FDI need strict condition. Therefore, we aim at detecting Tolerable False Data Injection (TFDI) attack, which is more likely to implement. Nonetheless, the detection of such an attack is still an unsolved problem . In this paper, we propose a method based on deep learning framework to detect the TFDI attack. We test our model based on the IEEE 14-bus and 30-bus standard datasets for set load condition and mixed load condition. The results demonstrate the good performance of the model distinguishing the TFDI attack. Besides, it has an excellent generalization ability on different load scenarios.
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- 2020
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8. Transcriptome Analysis of Egg Yolk Sialoglycoprotein on Osteogenic Activity in MC3T3-E1 Cells
- Author
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Guanghua Xia, Qingying Xiang, Xuanri Shen, Zhangyan Quan, Muxue Chen, Sizhe He, Lehui Zhu, and Keke Meng
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0301 basic medicine ,Technology ,QH301-705.5 ,Protein digestion ,QC1-999 ,osteogenesis ,Extracellular matrix ,Transcriptome ,03 medical and health sciences ,transcriptome analysis ,0302 clinical medicine ,Sialoglycoprotein ,Gene expression ,General Materials Science ,Biology (General) ,KEGG ,MC3T3-E1 cells ,QD1-999 ,Instrumentation ,Gene ,Fluid Flow and Transfer Processes ,biology ,Chemistry ,Physics ,Process Chemistry and Technology ,sialoglycoprotein ,General Engineering ,Engineering (General). Civil engineering (General) ,Computer Science Applications ,Cell biology ,RUNX2 ,egg yolk ,030104 developmental biology ,030220 oncology & carcinogenesis ,biology.protein ,TA1-2040 - Abstract
In this study, the effects of egg yolk sialoglycoprotein (EYG) on osteogenesis in MC3T3-E1 cells were investigated and the DEGs (differentially expressed genes) were explored by transcriptome analysis. The results found that EYG effectively increased cell proliferation, enhanced ALP activity, promoted the secretion of extracellular matrix protein COL-I and OCN, enhanced bone mineralization activity, exhibiting good osteogenic activity. Further study of the mechanism was explored through transcriptome analysis. Transcriptome analysis showed that 123 DEGs were triggered by EYG, of which 78 genes were downregulated and 45 genes were upregulated. GO (gene ontology) analysis showed that EYG mainly caused differences in gene expression of biological processes and cell composition categories in the top 30 most enriched items. KEGG (Kyoto Encyclopedia of Genes and Genomes) analysis showed that EYG inhibited inflammatory factors and downregulated inflammation-related pathways. The results also showed EYG regulated such genes as COL2A1, COL4A1 and COL4A2 to up-regulate pathways including ECM–receptor interaction, focal adhesion and protein digestion and absorption, enhancing the proliferation and differentiation of osteoblasts. Gene expression of COL-I, Runx2, BMP2 and β-catenin was determined by qRT-PCR for verification, which found that EYG significantly increased COL-I, Runx2, BMP2 and β-catenin gene expression, suggesting that BMP-2 mediated osteogenesis pathway was activated.
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- 2021
- Full Text
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