Search Results - "Sun, Qinhua"

Identification of critical genes and molecular pathways in COVID-19 myocarditis and constructing gene regulatory networks by bioinformatic analysis by Zhang, Fengjun, Yu, Cheng, Xu, Wenchang, Li, Xiao, Feng, Junchen, Shi, Hongshuo, Yang, Jingrong, Sun, Qinhua, Cao, Xianyi, Zhang, Lin, Peng, Min

“…Background There is growing evidence of a strong relationship between COVID-19 and myocarditis. However, there are few bioinformatics-based analyses of…”
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Deep latent variable joint cognitive modeling of neural signals and human behavior by Vo, Khuong, Sun, Qinhua Jenny, Nunez, Michael D., Vandekerckhove, Joachim, Srinivasan, Ramesh

“…As the field of computational cognitive neuroscience continues to expand and generate new theories, there is a growing need for more advanced methods to test…”
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Warm Communication Style Strengthens Expectations and Increases Perceived Improvement by He, Xiaoyu, Sun, Qinhua, Stetler, Cinnamon

“…Communication, both verbal and nonverbal, between healthcare providers and patients has been shown to affect treatment outcomes in clinical settings…”
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Uncovering Computations of Human Decision Making: Neurocognitive Modeling and Experimentation by Sun, Qinhua Jenny

“…The drift diffusion model (DDM) is a popular model of evidence accumulation that estimates parameters representing the underlying cognitive processes of…”
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Decision SincNet: Neurocognitive models of decision making that predict cognitive processes from neural signals by Sun, Qinhua Jenny, Vo, Khuong, Lui, Kitty, Nunez, Michael, Vandekerckhove, Joachim, Srinivasan, Ramesh

“…Human decision making behavior is observed with choice-response time data during psychological experiments. Drift-diffusion models of this data consist of a…”
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Decision SincNet: Neurocognitive models of decision making that predict cognitive processes from neural signals by Sun, Qinhua Jenny, Vo, Khuong, Lui, Kitty, Nunez, Michael, Vandekerckhove, Joachim, Srinivasan, Ramesh

“…Human decision making behavior is observed with choice-response time data during psychological experiments. Drift-diffusion models of this data consist of a…”
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Research Progress on Numbing Substances in Zanthoxylum bungeanum and Application of Machine Learning in Research on Them by WANG Yueguang, LI Xiaolin, WANG Qin, SU Che, ZHANG Qinhua, HUANG Shiguo, SUN Yilan, PANG Jie

“…This review summarizes the application of machine learning in research on the numbing substances of Zanthoxylum bungeanum. Different varieties of Z. bungeanum…”
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