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5,127 results on '"Luo Jian"'

1. A Study on Synergistic Improvement of Physical Fitness and Skills of Basketball Players Based on Big Data

Author

Cai Ning, Zhang Jungang, Li Jinpeng, Luo Jian, and Yu Ao

Subjects
neural network, a priori algorithm, multi-scale spatiotemporal correlation features, transformer, basketball training, 62-07, Mathematics, QA1-939
Abstract

This paper proposes a strategy for synergistic improvement of physical fitness and skills of basketball players with the content of big data analysis of decision-making of physical fitness training programs and estimation of the human posture of basketball players. The data related to physical training and testing are processed using neural network methods, and a priori algorithms with continuous attributes discretize the data to realize data fragmentation and prevent data distortion caused by intrinsic correlation so as to build up a technical and methodological platform for physical training programs. At the same time, the basketball action posture estimation algorithm based on multi-scale spatiotemporal correlation features is proposed, and the human body temporal sequence feature capture module based on Transformer is constructed to improve the accuracy of basketball action posture estimation to meet the needs of skill training. The men’s basketball team of Shandong Agricultural University in China was used as a research object to carry out basketball physical fitness and skill training practices. The experimental group’s basketball players’ performance in barbell bench press and weighted squat was 11.06kg and 10.05kg more than that of the control group. Their performance in 3/4-court sprint running, and return running. Restriction-area footwork was 0.52s, 2.16s, and 1.97s faster than that of the control group, with significant differences in basketball skills, such as 14-meter round-trip straight-line dribbling around the pole and 30-second in situ spotting of two-handed chest pass (the first time in the experimental group). Basketball skills showed significant differences (P

Published
2024
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2. Diosgenin biosynthesis pathway and its regulation in Dioscorea cirrhosa L.

Author

Yan Lin, Qiuyan Hu, Qiang Ye, Haohua Zhang, Ziyu Bao, Yongping Li, and Luo Jian Mo

Subjects
Dioscorea cirrhosa L., Diosgenin, Transcriptome, CYP450 gene family, Medicine, Biology (General), QH301-705.5
Abstract

Dioscorea cirrhosa L. (D. cirrhosa) tuber is a traditional medicinal plant that is abundant in various pharmacological substances. Although diosgenin is commonly found in many Dioscoreaceae plants, its presence in D. cirrhosa remained uncertain. To address this, HPLC-MS/MS analysis was conducted and 13 diosgenin metabolites were identified in D. cirrhosa tuber. Furthermore, we utilized transcriptome data to identify 21 key enzymes and 43 unigenes that are involved in diosgenin biosynthesis, leading to a proposed pathway for diosgenin biosynthesis in D. cirrhosa. A total of 3,365 unigenes belonging to 82 transcription factor (TF) families were annotated, including MYB, AP2/ERF, bZIP, bHLH, WRKY, NAC, C2H2, C3H, SNF2 and Aux/IAA. Correlation analysis revealed that 22 TFs are strongly associated with diosgenin biosynthesis genes (—r2— > 0.9, P

Published
2024
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3. Multiwireless sensors for electrical measurement based on nonlinear improved data fusion algorithm

Author

Luo Jian

Subjects
improve the data fusion algorithm, wireless sensor, standard deviation, Engineering (General). Civil engineering (General), TA1-2040
Abstract

In order to improve the accuracy of collected data and avoid table lookup, the adaptive weighted fusion algorithm is improved. According to the characteristics of the median and the mean value in the normal distribution, a new method of preprocessing to remove outliers is proposed to improve the accuracy of the final fusion result. The algorithm is used to calculate the temperature data to be processed in a greenhouse. The results showed that the fusion result after average processing was Xˆ\hat{X} = 15.77°C. The standard deviation is σ\sigma = 0.1194°C. After the treatment of the Grabbs criterion, the fusion result is Xˆ\hat{X} = 15.73°C and the standard deviation is σ\sigma = 0.1110°C. The fusion result of the improved algorithm is Xˆ\hat{X} = 15.74°C. The standard deviation is σ\sigma = 0.0959°C. Advantages of various preprocessing algorithms: improved algorithm > Grubbs method > no preprocessing. From the processing results of group A1 data, it can be seen that the improved algorithm can effectively suppress the ipsilateral shielding effect. Compared with the traditional Grubbs method to eliminate outliers and other algorithms, the improved algorithm can make the standard deviation of the fusion result smaller, and the fusion result can better represent the overall distribution, and there is no need to look up the table.

Published
2023
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11. Efficacy of chidamide maintenance therapy versus autologous stem cell transplantation versus observation as a post-remission choice in the survival of adult patients with peripheral T-cell lymphoma: Post hoc analysis of a prospective, multicenter, phase 2 study in China

Author

Wang, Wei, Zhang, Wei, Su, Li-ping, Liu, Li-hong, Gao, Yu-huan, Wang, Quan-shun, Su, Hang, Song, Yu-qin, Zhang, Hui-lai, Shen, Jing, Jing, Hong-mei, Wang, Shu-ye, Cen, Xi-nan, Liu, Hui, Liu, Ai-chun, Li, Zeng-jun, Luo, Jian-min, He, Jian-xia, Wang, Jing-wen, O’Connor, O. A., and Zhou, Dao-bin

Published
2024
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24. Kisspeptin-10 binding to Gpr54 in osteoclasts prevents bone loss by activating Dusp18-mediated dephosphorylation of Src

Author

Li, Zhenxi, Yang, Xinghai, Fu, Ruifeng, Wu, Zhipeng, Xu, Shengzhao, Jiao, Jian, Qian, Ming, Zhang, Long, Wu, Chunbiao, Xie, Tianying, Yao, Jiqiang, Wu, Zhixiang, Li, Wenjun, Ma, Guoli, You, Yu, Chen, Yihua, Zhang, Han-kun, Cheng, Yiyun, Tang, Xiaolong, Wu, Pengfei, Lian, Gewei, Wei, Haifeng, Zhao, Jian, Xu, Jianrong, Ai, Lianzhong, Siwko, Stefan, Wang, Yue, Ding, Jin, Song, Gaojie, Luo, Jian, Liu, Mingyao, and Xiao, Jianru

Published
2024
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28. A new technology of 3D scaled physical simulation for high-pressure and high-temperature steam injection recovery

Author

Zan Cheng, Ma Desheng, Wang Hongzhuang, Shen Dehuang, Guan Wenlong, Li Xiuluan, Jiang Hang, Luo Jian, and Guo Jia

Subjects
Petroleum refining. Petroleum products, TP690-692.5
Abstract

In order to solve the problems of existing physical simulation experiment device for thermal recovery, such as great heat loss, low precision in internal pressure control of physical model and insufficient process monitoring, a new experiment device for high-pressure and high-temperature (HPHT) 3D scaled physical simulation is developed independently, and the relevant experiment technical route is presented. By using thermal fluid simulation, PID auto-control and 3D graphics, the following problems are solved: (1) the heat loss scaled simulation technology is applied for HPHT thermal recovery model, to control the heat dissipating capacity of the model top and bottom and realize the continuous growth of the steam chamber; (2) HPHT 3D formation temperature/pressure simulation technology is applied to keep the model pressure and temperature stable, ensuring temperature difference at each point in high-pressure chamber less than ± 2 °C; (3) 3D data field on-line monitoring and visual analysis technology is applied to monitor and control the reservoir performance at real time. By using this experiment device, 3D scaled physical simulation experiment is performed for commingled thermal recovery of extremely heavy oil by horizontal/vertical wells as well as SAGD of super heavy oil by dual horizontal wells. The evolution of steam chamber is depicted and the knowledge on SAGD mechanism by dual horizontal wells and the production performance is deeply studied. 摘要: 为了解决现有热采物理模拟装置模型热损失大、模型内压控制精度低、实验过程监控不足等问题 自主研制成功了新型高温高压三维比例物理模拟实验装置并提出了注蒸汽采油高温高压三维比例物理模拟实验技术路线。该装置采用热流数值模拟、PID自动控制及三维数据场平面设计方法 重点解决了以下难题并形成特色技术°采用高温高压热采模型热损失比例模化技术 比例控制模型顶底散热量 实现汽腔持续发育 °采用高温高压三维地层温/压模拟技术 实现模型压力均匀稳定控制 高压舱内各点温差小于±2 ࠓ °采用模型三维数据场在线监测与可视化分析技术 实时监测与调控油藏动态。利用该实验装置开展了特稠油水平井与直井组合热采及超稠油双水平井SAGD 蒸汽辅助重力泄油三维比例物理模拟实验研究 完整刻画了汽腔发育规律 深化了对双水平井SAGD开采机理和生产动态规律的认识。图5参13 关键词注蒸汽采油 比例物理模拟 三维模型 高温高压 蒸汽辅助重力泄油-图分类号TE345 文献标识码A Key words: steam injection recovery, scaled physical simulation, 3D physical model, high-pressure and high-temperature, steam assisted gravity drainage (SAGD)

Published
2011
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29. A stable atmospheric-pressure plasma for extreme-temperature synthesis

Author

Xie, Hua, Liu, Ning, Zhang, Qian, Zhong, Hongtao, Guo, Liqun, Zhao, Xinpeng, Li, Daozheng, Liu, Shufeng, Huang, Zhennan, Lele, Aditya Dilip, Brozena, Alexandra H., Wang, Xizheng, Song, Keqi, Chen, Sophia, Yao, Yan, Chi, Miaofang, Xiong, Wei, Rao, Jiancun, Zhao, Minhua, Shneider, Mikhail N., Luo, Jian, Zhao, Ji-Cheng, Ju, Yiguang, and Hu, Liangbing

Published
2023
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