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2,276 results on '"Ren, Zhi"'

11. Study of the response of 10B-doped MCP to wide-energy range neutrons from eV to MeV

Author

Li, Qiang, Wang, Li-Jiao, Qiu, Xiang-Biao, Li, Jing-Wen, Xu, Wei, Li, Tao, Lin, Ze-Bin, Ning, Chang-Jun, Chen, Yong-Hao, Fan, Rui-Rui, Sun, Kang, Tang, Jing-Yu, Zhang, Rong, Jing, Han-Tao, Mei, Bo, An, Qi, Bai, Hao-Fan, Bai, Jiang-Bo, Bao, Jie, Cao, Ping, Chen, Qi-Ping, Chen, Zhen, Cui, Zeng-Qi, Fan, An-Chuan, Feng, Chang-Qing, Feng, Fan-Zhen, Gao, Ke-Qing, Gu, Min-Hao, Han, Chang-Cai, Han, Zi-Jie, He, Guo-Zhu, He, Yong-Cheng, Hong, Yang, Hu, Yi-Wei, Huang, Han-Xiong, Jia, Wei-Hua, Jiang, Hao-Yu, Jiang, Wei, Jiang, Zhi-Jie, Jin, Zheng-Yao, Kang, Ling, Li, Bo, Li, Chao, Li, Gong, Li, Jia-Wen, Li, Xiao, Li, Yang, Liu, Jie, Liu, Rong, Liu, Shu-Bin, Luan, Guang-Yuan, Qi, Bin-Bin, Ren, Jie, Ren, Zhi-Zhou, Ruan, Xi-Chao, Song, Zhao-Hui, Tan, Zhi-Xin, Tang, Sheng-Da, Wang, Peng-Cheng, Wang, Zhao-Hui, Wen, Zhong-Wei, Wu, Xiao-Guang, Wu, Xuan, Xie, Li-Kun, Yang, Yi-Wei, Yi, Han, Yu, Yong-Ji, Zhang, Guo-Hui, Zhang, Lin-Hao, Zhang, Mo-Han, Zhang, Qi-Wei, Zhang, Xian-Peng, Zhang, Yu-Liang, Zhang, Yue, Zhang, Zhi-Yong, Zhao, Mao-Yuan, Zhou, Lu-Ping, Zhou, Zhi-Hao, and Zhu, Ke-Jun

Published
2024
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15. Nondestructive technique for identifying nuclides using neutron resonance transmission analysis at CSNS Back-n

Author

Tang, Sheng-Da, Chen, Yong-Hao, Tang, Jing-Yu, Fan, Rui-Rui, Li, Qiang, Li, Gong, Liu, Dong, Jin, Zheng-Yao, Cui, Xing-Zhu, Chen, Tian-Xiang, Yang, Yi-Wei, Liu, Rong, Yi, Han, Li, Yang, Yang, Zhen, An, Qi, Bai, Hao-Fan, Bai, Jiang-Bo, Bao, Jie, Cao, Ping, Chen, Qi-Ping, Chen, Zhen, Cui, Zeng-Qi, Fan, An-Chuan, Feng, Chang-Qing, Feng, Fan-Zhen, Gao, Ke-Qing, Gu, Min-Hao, Han, Chang-Cai, Han, Zi-Jie, He, Guo-Zhu, He, Yong-Cheng, Hong, Yang, Hu, Yi-Wei, Huang, Han-Xiong, Jia, Wei-Hua, Jiang, Hao-yu, Jiang, Wei, Jiang, Zhi-jie, Kang, Ling, Li, Bo, Li, Chao, Li, Jia-Wen, Li, Xiao, Liu, Jie, Liu, Shu-Bin, Luan, Guang-Yuan, Ning, Chang-Jun, Qi, Bin-Bin, Ren, Jie, Ren, Zhi-Zhou, Ruan, Xi-Chao, Song, Zhao-Hui, Sun, Kang, Tan, Zhi-Xin, Wang, Li-Jiao, Wang, Peng-Cheng, Wang, Zhao-Hui, Wen, Zhong-Wei, Wu, Xiao-Guang, Wu, Xuan, Xie, Li-Kun, Yu, Yong-Ji, Zhang, Guo-Hui, Zhang, Lin-Hao, Zhang, Mo-Han, Zhang, Qi-Wei, Zhang, Xian-Peng, Zhang, Yu-Liang, Zhang, Yue, Zhang, Zhi-Yong, Zhao, Mao-Yuan, Zhou, Lu-Ping, Zhou, Zhi-Hao, and Zhu, Ke-Jun

Published
2024
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22. The Effect of EF on PM Performance in School-Age Children

Author

Ren, Zhi, Liang, Xiao, Sun, Fanhui, and Wang, Lijuan

Abstract

Prospective memory (PM) is vital for children to live independently. Theoretical and empirical evidence has shown that executive function (EF) plays an important role in children's PM. However, there is no EF training for the PM of school-age children. Therefore, a 4-week EF training programme was conducted in this study to investigate the transfer effects of training on event-based PM in 8- to 12-year-old children. Children were randomly assigned to the EF training or control groups. The results revealed that EF training was more effective in enhancing children's PM performance; in particular, there was a transfer effect of EF. Further findings suggested that this transfer effect was observed only in older children, which supported the magnification account that those with strong EF abilities profit most. Moreover, the benefits of training were predicted by inhibition and switching ability. Altogether, EF training has the potential to improve children's PM, especially for children with better EF.

Published
2023
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27. Application of quantitative electroencephalography in prognosis prediction after mechanical thrombectomy in acute ischemic stroke

Author

HAN Bing⁃sha, LI Jiao, LI Yan⁃ru, WANG Ju, REN Zhi⁃qiang, and FENG Guang

Subjects
ischemic stroke, mechanical thrombolysis, electroencephalography, risk factors, logistic models, roc curve, Neurology. Diseases of the nervous system, RC346-429
Abstract

Objective To explore the clinical application of quantitative electroencephalography (qEEG) in predicting the early prognosis of acute ischemic stroke after mechanical thrombectomy. Methods A total of 71 patients who underwent acute ischemic stroke mechanical thrombectomy from April 2021 to September 2022 were enrolled in He'nan Provincial People's Hospital, all of them performed qEEG after surgery. Modified Rankin Scale (mRS) was used to evaluate the prognosis on the 90 d after the surgery. Univariate and multivariate backward Logistic regression analyses were used to screen risk factors for prognosis in acute ischemic stroke after mechanical thrombectomy. Receiver operating characteristic (ROC) curve was used to predict the value of qEEG for the prognosis of neural function. Results Patients in dismal prognosis group (mRS score 3-5, n = 28) had higher NIHSS score at admission (t = 2.686, P = 0.009), higher proportion of thrombectomy performed more than 3 times (χ2 = 4.201, P = 0.040), higher values of DTABR on the affected side (t = 2.183, P = 0.032), higher ratio of DTABR on affected side/ unaffected side (t = 6.230, P = 0.000), and higher proportion of immediately Thrombolysis in Cerebral Infarction (TICI) < 2b after surgery (χ2 = 5.420, P = 0.020) compared to favorable prognosis group (mRS score 0-2, n = 43). Logistic regression analysis showed higher NIHSS score at admission (OR = 1.542, 95%CI: 1.368-1.725；P = 0.012), DTABR on affected side/unaffected side (OR = 3.428, 95%CI: 2.673-7.314; P = 0.008), percent alpha variability (PAV) grade Ⅱ (OR = 2.983, 95%CI: 2.625-4.682; P = 0.003) and grade Ⅲ (OR = 4.088, 95%CI: 3.825-5.349; P = 0.002), amplitude electroencephalography (aEEG) grade Ⅱ (OR = 2.536, 95%CI: 1.942-5.287; P = 0.005) and grade Ⅲ (OR = 3.924, 95%CI: 2.012-6.378; P = 0.003) were risk factors of dismal prognosis in acute ischemic stroke after mechanical thrombectomy. ROC curve showed the area under the curve (AUC) of NIHSS score was 0.676 (95%CI: 0.554-0.782, P = 0.000), DTABR on affected side/unaffected side was 0.887 (95%CI: 0.789-0.950, P = 0.000), the PAV was 0.760 (95%CI: 0.643-0.853, P = 0.000), aEEG was 0.778 (95%CI: 0.664-0.868, P = 0.000), and the combined indicators classification was 0.943 (95%CI: 0.861-0.984, P = 0.000). Among them, the predictive power of the combined indicators is higher than that of the NIHSS score at admission (Z = 4.150, P = 0.000), PAV (Z = 4.006, P = 0.000) and aEEG (Z = 3.462, P = 0.001). Conclusions qEEG is an effective method to predict the early prognosis of acute ischemic stroke after mechanical thrombectomy.

Published
2023
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