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Yin, Yonghua
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1

Frequency and molecular basis of CD36 deficiency among plat..:

Lyu, Qilu ; Peng, Mozhen ; Chen, Qiang...
Platelets.  34 (2023)  1 - p. , 2023
Link: https://doi.org/10.1080/..
 
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2

What Should Be Responsible for Eryptosis in Chronic Kidney ..:

Li, Dongxin ; Zheng, Xujuan ; Zhang, Yunxia...
Kidney and Blood Pressure Research.  47 (2022)  6 - p. 375-390 , 2022
Link: https://doi.org/10.1159/..
 
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3

Optimal Direct Instantaneous Torque Control for SRMs Using ..:

Yin, Yonghua
Applied Sciences.  12 (2022)  23 - p. 12177 , 2022
Link: https://doi.org/10.3390/..
 
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4

First annual report of Chinese haemovigilance network:

Yin, Yonghua ; Tian, Xue ; Li, Ling...
Vox Sanguinis.  116 (2021)  6 - p. 718-724 , 2021
Link: https://doi.org/10.1111/..
 
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5

Up-Regulating ERIC by CRISPR-dCas9-VPR Inhibits Cell Prolif..:

Yang, Jiangeng ; Xia, An ; Zhang, Huajie...
Frontiers in Molecular Biosciences.  8 (2021)  - p. , 2021
Link: https://doi.org/10.3389/..
 
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6

The Random Neural Network with Deep Learning Clusters in Sm..:

Serrano, Will ; Gelenbe, Erol ; Yin, Yonghua
Neurocomputing.  396 (2020)  - p. 394-405 , 2020
Link: https://doi.org/10.1016/..
 
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7

rIL‐35 prevents murine transfusion‐related acute lung injur..:

Qiao, Jiajia ; He, Rui ; Yin, Yonghua...
Transfusion.  60 (2020)  7 - p. 1434-1442 , 2020
Link: https://doi.org/10.1111/..
 
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8

A systematic genotype and subgenotype re-ranking of hepatit..:

Yin, Yonghua ; He, Kai ; Wu, Bingting...
Heliyon.  5 (2019)  10 - p. e02556 , 2019
Link: https://doi.org/10.1016/..
 
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9

RANDOM NEURAL NETWORK METHODS AND DEEP LEARNING:

Yin, Yonghua
Probability in the Engineering and Informational Sciences.  35 (2019)  1 - p. 6-36 , 2019
Link: https://doi.org/10.1017/..
 
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10

Positive Consensus of Directed Multi-agent Systems using Dy..:

, In: 2019 IEEE 58th Conference on Decision and Control (CDC),
Yang, Nachuan ; Yin, Yonghua ; Liu, Jinrong - p. 897-902 , 2019
Link: https://doi.org/10.1109/..
 
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11

Appropriateness of red blood cell use in China in the last ..:

Kong, Yujie ; Wang, Xiangming ; Yin, Yonghua...
Heliyon.  5 (2019)  3 - p. e01408 , 2019
Link: https://doi.org/10.1016/..
 
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12

Machine Learning to Predict Toxicity of Compounds:

, In: Artificial Neural Networks and Machine Learning – ICANN 2018; Lecture Notes in Computer Science,
Grenet, Ingrid ; Yin, Yonghua ; Comet, Jean-Paul. - p. 335-345 , 2018
Link: https://doi.org/10.1007/..
 
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13

Deep Learning with Dense Random Neural Networks for Detecti..:

, In: Communications in Computer and Information Science; Security in Computer and Information Sciences,
Brun, Olivier ; Yin, Yonghua ; Gelenbe, Erol... - p. 79-89 , 2018
Link: https://doi.org/10.1007/..
 
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14

G-Networks to Predict the Outcome of Sensing of Toxicity:

Grenet, Ingrid ; Yin, Yonghua ; Comet, Jean-Paul
Sensors.  18 (2018)  10 - p. 3483 , 2018
Link: https://doi.org/10.3390/..
 
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15

Deep Learning with Dense Random Neural Network for Detectin..:

Brun, Olivier ; Yin, Yonghua ; Gelenbe, Erol
Procedia Computer Science.  134 (2018)  - p. 458-463 , 2018
Link: https://doi.org/10.1016/..
 
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