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Jing Shen [7]Jingyi Shen [1]Jin Shen [1]Jinkun Shen [1]
Jin-Zhong Shen [1]
  1.  10
    Perceived Social Support Protects Lonely People Against COVID-19 Anxiety: A Three-Wave Longitudinal Study in China.Jianjie Xu, Jingyi Ou, Shuyi Luo, Zhuojun Wang, Edward Chang, Claire Novak, Jingyi Shen, Shaoying Zheng & Yinan Wang - 2020 - Frontiers in Psychology 11.
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  2.  10
    On the phase transitions of random k-constraint satisfaction problems.Yun Fan & Jing Shen - 2011 - Artificial Intelligence 175 (3-4):914-927.
  3.  35
    Working memory and intelligibility of hearing-aid processed speech.Pamela E. Souza, Kathryn H. Arehart, Jing Shen, Melinda Anderson & James M. Kates - 2015 - Frontiers in Psychology 6.
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  4.  14
    A general model and thresholds for random constraint satisfaction problems.Yun Fan, Jing Shen & Ke Xu - 2012 - Artificial Intelligence 193 (C):1-17.
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  5.  8
    Thermal demands and its interactions with environmental factors account for national-level variation in aggression.Qingke Guo, Sisi Li, Jinkun Shen & Jianli Lu - 2022 - Frontiers in Psychology 13.
    Literature shows that psychological phenomena, including values, personality, and behaviors, are geographically clustered. The effects of temperature on interpersonal and intergroup aggression have been studied by many social psychologists. To date the interactions between temperature and other geographical factors have not been addressed. This study is aiming to examine the effects of thermal demands and the moderating effects of natural geographical factors on aggressive behavior at national level. Data for 156 societies was obtained from publicly available databases. Consistent with the (...)
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  6.  13
    Aberrant brain functional networks in type 2 diabetes mellitus: A graph theoretical and support-vector machine approach.Lin Lin, Jindi Zhang, Yutong Liu, Xinyu Hao, Jing Shen, Yang Yu, Huashuai Xu, Fengyu Cong, Huanjie Li & Jianlin Wu - 2022 - Frontiers in Human Neuroscience 16:974094.
    ObjectiveType 2 diabetes mellitus (T2DM) is a high risk of cognitive decline and dementia, but the underlying mechanisms are not yet clearly understood. This study aimed to explore the functional connectivity (FC) and topological properties among whole brain networks and correlations with impaired cognition and distinguish T2DM from healthy controls (HC) to identify potential biomarkers for cognition abnormalities.MethodsA total of 80 T2DM and 55 well-matched HC were recruited in this study. Subjects’ clinical data, neuropsychological tests and resting-state functional magnetic resonance (...)
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  7.  2
    Interactions between acoustic challenges and processing depth in speech perception as measured by task-evoked pupil response.Jing Shen, Laura P. Fitzgerald & Erin R. Kulick - 2022 - Frontiers in Psychology 13.
    Speech perception under adverse conditions is a multistage process involving a dynamic interplay among acoustic, cognitive, and linguistic factors. Nevertheless, prior research has primarily focused on factors within this complex system in isolation. The primary goal of the present study was to examine the interaction between processing depth and the acoustic challenge of noise and its effect on processing effort during speech perception in noise. Two tasks were used to represent different depths of processing. The speech recognition task involved repeating (...)
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  8.  5
    On Dynamic Pitch Benefit for Speech Recognition in Speech Masker.Jing Shen & Pamela E. Souza - 2018 - Frontiers in Psychology 9.
    Previous work demonstrated that dynamic pitch (i.e., pitch variation in speech) aids speech recognition in various types of noises. While this finding suggests dynamic pitch enhancement in target speech can benefit speech recognition in noise, it is of importance to know what noise characteristics affect dynamic pitch benefit and who will benefit from enhanced dynamic pitch cues. Following our recent finding that temporal modulation in noise influences dynamic pitch benefit, we examined the effect of speech masker characteristics on dynamic pitch (...)
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