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21 results on '"Yang, Yongde"'

7. Gut microbiota: Linking nutrition and perinatal depression

Author

Song, Jia, primary, Zhou, Bi, additional, Kan, Juntao, additional, Liu, Guangya, additional, Zhang, Sheng, additional, Si, Liang, additional, Zhang, Xianping, additional, Yang, Xue, additional, Ma, Junhua, additional, Cheng, Junrui, additional, Liu, Xiaobo, additional, and Yang, Yongde, additional

Published
2022
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16. Lithium storage performance of coralline-like FeMnO3 anode materials prepared by a facile chemical co-precipitation method

Author

Yang Yongde, Jinhuan Yao, Shunhua Xiao, Yanwei Li, and Jing-Jing Wu

Subjects
Materials science, Mechanical Engineering, Metals and Alloys, Sintering, chemistry.chemical_element, 02 engineering and technology, 010402 general chemistry, 021001 nanoscience & nanotechnology, Microstructure, Electrochemistry, 01 natural sciences, 0104 chemical sciences, Anode, Chemical engineering, chemistry, Mechanics of Materials, Phase (matter), Materials Chemistry, Particle, Nanometre, Lithium, 0210 nano-technology
Abstract

Mixed transition metal oxides have attracted much attention as anode materials for lithium-ion batteries because of their high theoretical capacity, low cost, and rich redox reaction. In this work, coralline-like FeMnO3 anode materials are synthesized by a facile co-precipitation method and subsequent sintering in air. The influences of sintering temperature on the microstructure and electrochemical performance of the samples are investigated. The results demonstrated that with the increase of sintering temperature, the phase structure of the products changes from FeMnO3/Fe2O3/Mn3O4 composites at 600 °C to pure phase FeMnO3 at 1000 °C, accompanied with the size of the primary particle increasing from tens of nanometers to hundreds of nanometers. Discharge/charge performance tests indicated that the sample sintered at 600 °C presents the biggest fluctuation of capacity during cycling, while the sample sintered at 1000 °C gives a rather flat capacity during cycling; moreover, the pure phase FeMnO3 at 1000 °C possesses the best rate capability among the three samples. For example, the pure phase FeMnO3 sintered at 1000 °C delivers a specific capacity of 585 mA h g−1 after 290 cycles at the current of 1000 mA g−1; even at the high current density of 5 A g−1, the capacity still retained at 397 mA h g−1. Charge storage mechanism analysis revealed that the pure phase FeMnO3 sintered at 1000 °C shows obvious pseudocapacitive behavior during the discharge/charge process, which partly account for its superior cycling performance and high-rate capability.

Published
2020

18. FM-YOLOv7: an improved detection method for mine personnel helmet.

Author

Shao, Xiaoqiang, Liu, Shibo, Li, Xin, Yang, Yongde, Yuan, Zewen, Li, Hao, and Lyu, Zhiyue

Subjects
HELMETS, SAFETY hats, FEATURE extraction, MINE safety
Abstract

Due to the complex underground environment and the small object of the helmet, the detection accuracy is low when the original YOLOv7 algorithm is used to detect whether the mine personnel wears the helmet, which cannot be applied to the actual operation site. In response to this problem, we proposed an FM-YOLOv7 mine personnel helmet detection. First, to improve the feature extraction ability of the shallow network and enhance the representation ability of the model on the helmet, we propose the fused-MBCA (fused-MBConv with the coordinate attention) module. Second, to improve the detection ability of small objects, enable the fused features to obtain high-level semantic information and low-level details from different scales, and have more extensive receptive fields, we propose the multi-scale feature fusion efficient layer aggregation networks. Finally, to accelerate the convergence of the model and improve the regression accuracy, we use efficient intersection over union as the bounding box regression loss function. These experiments are based on the self-built mine personnel safety helmet dataset. The results show that the FM-YOLOv7 model outperformed the other six algorithms. The mAP@0.5 of the proposed model can reach 85.7%, which is 1.4% higher than the original YOLOv7 model. Also, the improved YOLOv7 model achieves 91 frames per second in detection speed, which detects whether the mine personnel wears a safety helmet in real time. [ABSTRACT FROM AUTHOR]

Published
2023
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21. Nano-ZnO embedded SiO2 glass with intense ultraviolet emission

Author

Zhao, Shichao, Ji, Zhenguo, Yang, Yongde, Huo, Dexuan, and Lv, Yanfei

Subjects
*SILICON compounds, *HYDROGEN-ion concentration, *SILICON, *PHOTOLUMINESCENCE
Abstract

Abstract: The nano-ZnO embedded SiO2 glass was prepared by a four-step process: (1) formation of colloidal suspension of Zn(OH)2, (2) synthesis of silica sol, (3) mixture of Zn(OH)2 colloidal suspension and silica sol to form precursor glass, and (4) annealing of the precursor glass to obtain the nano-ZnO embedded glass. The results presented herein focused on the structural characterization and photoluminescence (PL) characteristics of the nano-ZnO embedded glass. It is shown that the PL intensity of the ultraviolet emission of the glass was dependent on the preparation conditions, and the pure ultraviolet emission could be controlled by the pH value of the colloidal suspension of Zn(OH)2 and the silica sol. [Copyright &y& Elsevier]

Published
2007
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