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132 results on '"Liang, Jiawen"'

8. Spatial-temporal variation of soil organic matter decomposition potential in China

Author

Chen, Qi, Zhou, Zeyan, Cai, Sulin, Lv, Meiqi, Yang, Yinghui, Luo, Yunchao, Jiang, Han, Liu, Run, Cao, Tingting, Yao, Bei, Chen, Yunru, Li, Qiang, Zeng, Xiaoyi, Ye, Rumeng, Fang, You, Pan, Yueting, He, Weihua, Pang, Lu, He, Hualong, Wan, Pengwei, Ji, Yanli, Li, Changzhong, Jin, Cheng, Baidourela, Aliya, Zeng, Jiaqin, Pu, Gaozhong, Chen, Siyuan, Liang, Jiawen, and Tian, Xingjun

Published
2024
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9. Electromagnetic Source Imaging via a Data-Synthesis-Based Convolutional Encoder-Decoder Network

Author

Huang, Gexin, Liang, Jiawen, Liu, Ke, Cai, Chang, Gu, ZhengHui, Qi, Feifei, Li, Yuan Qing, Yu, Zhu Liang, and Wu, Wei

Subjects
Electrical Engineering and Systems Science - Image and Video Processing, Computer Science - Machine Learning, Electrical Engineering and Systems Science - Signal Processing
Abstract

Electromagnetic source imaging (ESI) requires solving a highly ill-posed inverse problem. To seek a unique solution, traditional ESI methods impose various forms of priors that may not accurately reflect the actual source properties, which may hinder their broad applications. To overcome this limitation, in this paper a novel data-synthesized spatio-temporally convolutional encoder-decoder network method termed DST-CedNet is proposed for ESI. DST-CedNet recasts ESI as a machine learning problem, where discriminative learning and latent-space representations are integrated in a convolutional encoder-decoder network (CedNet) to learn a robust mapping from the measured electroencephalography/magnetoencephalography (E/MEG) signals to the brain activity. In particular, by incorporating prior knowledge regarding dynamical brain activities, a novel data synthesis strategy is devised to generate large-scale samples for effectively training CedNet. This stands in contrast to traditional ESI methods where the prior information is often enforced via constraints primarily aimed for mathematical convenience. Extensive numerical experiments as well as analysis of a real MEG and Epilepsy EEG dataset demonstrate that DST-CedNet outperforms several state-of-the-art ESI methods in robustly estimating source signals under a variety of source configurations., Comment: 15 pages, 14 figures, and journal

Published
2020

12. Wolframin is a novel regulator of tau pathology and neurodegeneration

Author

Chen, Shuo, Acosta, Diana, Li, Liangping, Liang, Jiawen, Chang, Yuzhou, Wang, Cankun, Fitzgerald, Julie, Morrison, Cody, Goulbourne, Chris N., Nakano, Yoshi, Villegas, Nancy C. Hernandez, Venkataraman, Lalitha, Brown, Cris, Serrano, Geidy E., Bell, Erica, Wemlinger, Trina, Wu, Min, Kokiko-Cochran, Olga N., Popovich, Phillip, Flowers, Xena E., Honig, Lawrence S., Vonsattel, Jean Paul, Scharre, Douglas W., Beach, Thomas G., Ma, Qin, Kuret, Jeff, Kõks, Sulev, Urano, Fumihiko, Duff, Karen E., and Fu, Hongjun

Published
2022
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14. Associated factors of loneliness among primary school students.

Author

Wang, Wenyue, Liang, Jiawen, Zhang, Dexing, Xu, Zijun, Chan, Dicken C. C., Xie, Grace Yaojie, Gao, Yang, Niu, Lu, Lau, Elsa, and Wong, Samuel Y. S.

Subjects
*CHILDREN'S health, *SCHOOL environment, *MENTAL health, *SATISFACTION, *PSYCHOLOGY of school children, *LOGISTIC regression analysis, *SOCIOECONOMIC factors, *LONELINESS, *FAMILY relations, *PARENT attitudes, *HAPPINESS, *PSYCHOSOCIAL factors, *CHILDREN
Abstract

Loneliness is associated with various negative mental and physical health outcomes. Studies on factors associated with loneliness can inform its early screening and prevention. However, little is known about what factors are associated with loneliness among Chinese young children. The present study aimed to identify the various loneliness-associated factors (demographic, personal, school-related, and family-related) among primary school students in Hong Kong. A total of 258 students and their parents from six primary schools in Hong Kong completed an online anonymous survey from June to October 2020. Loneliness (i.e., UCLA Loneliness Scale 3 total score ≥ 3) was reported by 14% of the students. Multivariable mixed effects logistic regression suggested loneliness was positively associated with a lower happiness level at school, poorer independence skills, a lower level of satisfaction with parents, and lower child-rearing expenditure. There was no clustering effect of school on the associations. The current study found important demographic, personal, school-related, and family-related factors of loneliness among school-age children, with caution suggested in their interpretation considering the cross-sectional nature of this study. Future studies with a larger sample, preferably longitudinal ones, are needed to substantiate these associations and uncover their underlying mechanisms. [ABSTRACT FROM AUTHOR]

Published
2024
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22. Electromagnetic Source Imaging via a Data-Synthesis-Based Convolutional Encoder–Decoder Network

Author

Huang, Gexin, Liu, Ke, Liang, Jiawen, Cai, Chang, Gu, Zheng Hui, Qi, Feifei, Li, Yuanqing, Yu, Zhu Liang, and Wu, Wei

Abstract

Electromagnetic source imaging (ESI) requires solving a highly ill-posed inverse problem. To seek a unique solution, traditional ESI methods impose various forms of priors that may not accurately reflect the actual source properties, which may hinder their broad applications. To overcome this limitation, in this article, a novel data-synthesized spatiotemporally convolutional encoder–decoder network (DST-CedNet) method is proposed for ESI. The DST-CedNet recasts ESI as a machine learning problem, where discriminative learning and latent-space representations are integrated in a CedNet to learn a robust mapping from the measured electroencephalography/magnetoencephalography (E/MEG) signals to the brain activity. In particular, by incorporating prior knowledge regarding dynamical brain activities, a novel data synthesis strategy is devised to generate large-scale samples for effectively training CedNet. This stands in contrast to traditional ESI methods where the prior information is often enforced via constraints primarily aimed for mathematical convenience. Extensive numerical experiments as well as analysis of a real MEG and epilepsy EEG dataset demonstrate that the DST-CedNet outperforms several state-of-the-art ESI methods in robustly estimating source signals under a variety of source configurations.

Published
2024
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24. Seasonal Variation of Emission Fluxes of CO 2 , CH 4 , and N 2 O from Different Larch Forests in the Daxing'An Mountains of China.

Author

Li, Jinbo, Wu, Yining, Wang, Jianbo, Liang, Jiawen, Dong, Haipeng, Chen, Qing, and Zhong, Haixiu

Subjects
CARBON emissions, GREENHOUSE gases, MOUNTAIN forests, SOIL temperature, MULTIPLE regression analysis, FOREST soils, HETEROTROPHIC respiration
Abstract

Using a static chamber-gas chromatography method, we investigate the characteristics of soil CO2, CH4, and N2O fluxes and their relationships with environmental factors during the growing season in four typical Larix gmelinii forests (moss–Larix gmelinii forest, Ledum palustre–Larix gmelinii forest, herbage–Larix gmelinii forest, and Rhododendron dauricum–Larix gmelinii forest) in the Greater Khingan Mountains. Our results show that all four forest types are sources of CO2 emissions, with similar average emission fluxes (146.71 mg·m−2 h−1–211.81 mg·m−2 h−1) and no significant differences. The soil in the moss–Larix gmelinii forest emitted CH4 (43.78 μg·m−2 h−1), while all other forest types acted as CH4 sinks (−56.02 μg·m−2 h−1–−28.07 μg·m−2 h−1). Although all forest types showed N2O uptake at the beginning of the growing season, the N2O fluxes (4.03 μg·m−2 h−1–5.74 μg·m−2 h−1) did not differ significantly among the four forest types for the entire growing season, and all acted as sources of N2O emissions. The fluxes of CO2, CH4, and N2O were significantly correlated with soil temperature and soil pH for all four forest types. Multiple regression analysis shows that considering the interactive effects of soil temperature and moisture could better explain the changes in greenhouse gas emissions among different forest types. The average Q10 value (8.81) of the moss–Larix gmelinii forest is significantly higher than that of the other three forest types (3.16–3.54) (p < 0.05), indicating that the soil respiration in this forest type is more sensitive to temperature changes. [ABSTRACT FROM AUTHOR]

Published
2023
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27. BAG3 attenuates tau hyperphosphorylation and gliosis induced by traumatic brain injury

Author

Morrison, Cody, primary, Li, Liangping, additional, Liang, Jiawen, additional, Chen, Shuo, additional, Acosta, Diana M, additional, Fitzgerald, Julie A, additional, Karelina, Kate, additional, Bray, Chelsea E, additional, Weil, Zachary M, additional, Godbout, Jonathan, additional, Kokiko‐cochran, Olga N, additional, Saito, Takashi, additional, Saido, Takaomi C., additional, and Fu, Hongjun, additional

Published
2022
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29. Trust in automated vehicles

Author

Liang Jiawen, Pan Hanxi, Xu Wei, Gao Zaifeng, Shen Mowei, and LI Wenmin

Subjects
General Economics, Econometrics and Finance
Published
2021

33. Personality Affects Dispositional Trust and History-Based Trust in Different Ways.

Author

Liang, Jiawen, Gao, Qi, Li, Wenmin, Shi, Yanwei, Shen, Mowei, and Gao, Zaifeng

Subjects
*TRUST, *PERSONALITY, *TRAFFIC safety, *NEUROTICISM, *AUTOMOBILE driving
Abstract

Keeping an appropriate level of trust in automated driving (AD) is critical to safe driving. Although ample studies have investigated factors affecting trust in AD, few studies have investigated whether the personality of drivers influences the trust in AD system. Considering that trust measured at a given point in time lies on a continuum between dispositional and history-based trust, the current research investigated the relationship between driver's personality and dispositional as well as history-based trust. We revealed that personality affected the two types of trust in different ways: A significant negative correlation emerged between Neuroticism and dispositional trust of AD (Study 1), whereas a significant negative correlation between Openness and history-based trust was found when participants interacted with the AD system (Study 2). These results suggest that drivers' personality has an impact on the trust in AD, which is further modulated by the experience of driver's interaction with the AD system. [ABSTRACT FROM AUTHOR]

Published
2023
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38. Trust in automated vehicles

Author

GAO, Zaifeng, primary, LI, Wenmin, additional, LIANG, Jiawen, additional, PAN, Hanxi, additional, XU, Wei, additional, and SHEN, Mowei, additional

Published
2021
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43. In situengineering 3D conductive core-shell nano-networks and electronic structure of bismuth alloy nanosheets for efficient electrocatalytic CO2reduction

Author

Hu, Yanjie, Wang, Xinying, Zhang, Jiacheng, Zhang, Jiaming, Zhang, Yangtao, Liang, Jiawen, and Li, Yunyong

Abstract

The electrocatalytic carbon dioxide reduction reaction (CO2RR) to obtain valuable formic acid (HCOOH) with high Faradaic efficiency (>90%) and large current density (>150 mA cm−2) in H-type cells is extremely challenging due to the carbon dioxide (CO2) mass transfer limitation. This study reports an excellent electrocatalyst for the CO2RR based on the in-situconstruction of three-dimensional (3D) porous networked core-shell nanowire structures on copper (Cu) foam. The core-shell structure comprises a Cu nanowire (NW) core and an antimony-bismuth (Sb-Bi) alloy shell (Cu@SbxBiyNWs/Cu). The as-prepared Cu@SbxBiyNWs/Cu exhibits a high current density of 171.3 mA cm−2along with 92% Faradaic efficiency of HCOOH (FEHCOOH), which is superior to most reported studies in terms of high current density. Theoretical research has shown that introducing Sb upshifts the electron states of Bi close to the Fermi level, allowing more advantageous adsorption of the ⋆OCHO intermediate onto Sb-Bi interfaces than Bi surfaces, thereby accelerating the CO2RR. Furthermore, Sb0.1Bi1has stronger bond energy than pure Bi, favoring the stability of the catalyst during the reaction. Additionally, the formation of the Sb0.1Bi1alloy and 3D conductive core-shell nano-networks is more conducive to fast electron transfer and exposure of more active sites in the reaction process, obtaining better catalytic activity. This study provides valuable insights into the design of highly active Bi-based catalysts for energy conversion.

Published
2023
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45. Deficiency of WFS1 increases vulnerability to pathological tau in vitro and in vivo

Author

Chen, Shuo, primary, Venkaraman, Lalitha, additional, Liang, Jiawen, additional, Nakano, Yoshi, additional, Villegas, Nancy E. Hernandez, additional, Brown, Cris, additional, Urano, Fumihiko, additional, Koks, Sulev, additional, Serrano, Geidy E., additional, Beach, Thomas G., additional, Davies, Peter, additional, Diamond, Marc, additional, Duff, Karen E., additional, and Fu, Hongjun, additional

Published
2020
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