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Your search keyword '"Zhang, Yu-Hang"' showing total 694 results
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694 results on '"Zhang, Yu-Hang"'

34. Discussion on Performance Index of the Anti - Contamination Coating for the Heating Surface of Pulverized Coal Boiler

Author

DONG Meng, WANG Yuan - kui, ZHANG Yu - hang, YANG Shu - li

Subjects
pulverized coal boiler, nano - ceramic coating, water - wall, high temperature heating surface, performance, discussion, Materials of engineering and construction. Mechanics of materials, TA401-492, Technology
Abstract

In order to help the material manufacturers and research units to understand, develop and optimize the anti - contamination high temperature nano - ceramic coating with a clear target and to have a comprehensive understanding of the coking problem that the coal boilers are faced with, based on the characteristics of both boiler operation and coating, the performances of the anti - contaminant coating for the heating surface of boiler including heat resistance, adhesion strength, abrasion resistance, thermal shock resistance, thermal conductivity, anti - contamination and high temperature corrosion resistance were discussed, and the development trend of anti - contamination coating used in high temperature heating surface of pulverized coal boiler was prospected.

Published
2022
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46. Machine Learning in Identifying Marker Genes for Congenital Heart Diseases of Different Cardiac Cell Types.

Author

Ma, Qinglan, Zhang, Yu-Hang, Guo, Wei, Feng, Kaiyan, Huang, Tao, and Cai, Yu-Dong

Subjects
*HYPOPLASTIC left heart syndrome, *CONGENITAL heart disease, *HEART abnormalities, *TETRALOGY of Fallot, *HYPERTROPHIC cardiomyopathy, *MACHINE learning
Abstract

Congenital heart disease (CHD) represents a spectrum of inborn heart defects influenced by genetic and environmental factors. This study advances the field by analyzing gene expression profiles in 21,034 cardiac fibroblasts, 73,296 cardiomyocytes, and 35,673 endothelial cells, utilizing single-cell level analysis and machine learning techniques. Six CHD conditions: dilated cardiomyopathy (DCM), donor hearts (used as healthy controls), hypertrophic cardiomyopathy (HCM), heart failure with hypoplastic left heart syndrome (HF_HLHS), Neonatal Hypoplastic Left Heart Syndrome (Neo_HLHS), and Tetralogy of Fallot (TOF), were investigated for each cardiac cell type. Each cell sample was represented by 29,266 gene features. These features were first analyzed by six feature-ranking algorithms, resulting in several feature lists. Then, these lists were fed into incremental feature selection, containing two classification algorithms, to extract essential gene features and classification rules and build efficient classifiers. The identified essential genes can be potential CHD markers in different cardiac cell types. For instance, the LASSO identified key genes specific to various heart cell types in CHD subtypes. FOXO3 was found to be up-regulated in cardiac fibroblasts for both Dilated and hypertrophic cardiomyopathy. In cardiomyocytes, distinct genes such as TMTC1, ART3, ARHGAP24, SHROOM3, and XIST were linked to dilated cardiomyopathy, Neo-Hypoplastic Left Heart Syndrome, hypertrophic cardiomyopathy, HF-Hypoplastic Left Heart Syndrome, and Tetralogy of Fallot, respectively. Endothelial cell analysis further revealed COL25A1, NFIB, and KLF7 as significant genes for dilated cardiomyopathy, hypertrophic cardiomyopathy, and Tetralogy of Fallot. LightGBM, Catboost, MCFS, RF, and XGBoost further delineated key genes for specific CHD subtypes, demonstrating the efficacy of machine learning in identifying CHD-specific genes. Additionally, this study developed quantitative rules for representing the gene expression patterns related to CHDs. This research underscores the potential of machine learning in unraveling the molecular complexities of CHD and establishes a foundation for future mechanism-based studies. [ABSTRACT FROM AUTHOR]

Published
2024
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47. Self‐Extinguishing and Low‐Cost Quasi‐Solid Polymer Electrolyte for Room Temperature Lithium Metal Batteries.

Author

Hu, Xue‐Tong, Chen, Shuang, Wang, Peng‐Fei, Wu, Yuhan, Shi, Fa‐Nian, and Zhang, Yu‐Hang

Subjects
POLYELECTROLYTES, SOLID electrolytes, IONIC conductivity, POLYETHYLENE oxide, METHYL ether, LITHIUM cells, ELECTRIC batteries
Abstract

Most modification strategies of polyethylene oxide (PEO)‐based solid polymer electrolyte focus on improving the room temperature ionic conductivity, while disregarding its inherent flammability that poses substantial safety hazard. Herein, a self‐extinguishing quasi‐solid‐state polymer electrolyte (PTTF‐SPE), which combines excellent room temperature electrochemical properties and high safety, has been developed by introducing triethyl phosphate (TEP) as a low‐cost and highly effective flame retardant. The cross‐linking structure derived from −CH2−CH2−O− segments of tetramethylene glycol dimethyl ether (TEGDME) and PEO makes a contribution to a high amorphous state of polymer. A robust solid electrolyte interphase (SEI) formed by preferential decomposition of fluoroethylene carbonate (FEC) that acts as a film‐forming additive, which can prevent TEP from degradation at lithium metal anode. The optimized PTTF‐SPE exhibits high ionic conductivity (0.54×10−3 S/cm) and lithium transference number (0.71) at room temperature. The LiFePO4||Li battery demonstrates excellent cycle life over 500 cycles at 0.5 C with a high average discharge capacity of 131 mAh/g. A symmetric Li||Li battery that operating for 850 hours indicates a good compatibility of PTTF‐SPE towards lithium metal. This work provides a new idea for developing high‐energy‐density and high‐safety lithium‐metal batteries (LMBs) for room temperature. [ABSTRACT FROM AUTHOR]

Published
2024
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