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Exploring the interplay between addiction and time perception: A systematic review and meta-analysis
Journal article
Gu, Yunhao, Shan, Jiatong, Huang, Taicheng, Yu, Chengchao, Wu, Haiyan, Hu, Xiaoqing, Tong, Xuemei, Jia, Renbing, Noda, Yoshihiro, Du, Jiang, Yuan, Ti Fei, Luo, Wenbo, Zhao, Di. Exploring the interplay between addiction and time perception: A systematic review and meta-analysis[J]. PROGRESS IN NEURO-PSYCHOPHARMACOLOGY & BIOLOGICAL PSYCHIATRY, 2024, 135, 111104.
Authors:
Gu, Yunhao
;
Shan, Jiatong
;
Huang, Taicheng
;
Yu, Chengchao
;
Wu, Haiyan
; et al.
Favorite
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TC[WOS]:
0
TC[Scopus]:
0
IF:
5.3
/
4.9
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Submit date:2024/09/03
Non-substance Use Disorder
Substance Use Disorder
Temporal Perception
Time Distortion
Functional connectome gradient predicts clinical symptoms of chronic insomnia disorder
Journal article
J Wu, J Yang, YUAN ZHEN, J Zhang, Z Zhang,, T Qin, X Li, H Deng, L Gong. Functional connectome gradient predicts clinical symptoms of chronic insomnia disorder[J]. Progress in Neuro-psychopharmacology & Biological Psychiatry, 2024, 135, 111120.
Authors:
J Wu
;
J Yang
;
YUAN ZHEN
;
J Zhang
;
Z Zhang,
; et al.
Adobe PDF
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TC[WOS]:
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TC[Scopus]:
0
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Submit date:2024/08/28
Insomnia Disorder
Functional Connectome Gradient
Machine Learning
Comparing network structures of depressive and anxiety symptoms between demographically-matched heart disease and heart disease free samples using propensity score matching: Findings from the Chinese Longitudinal Healthy Longevity Survey (CLHLS)
Journal article
Lam, Mei Ieng, Bai, Wei, Feng, Yuan, Zhang, Qinge, Zhang, Yanbo, Jackson, Todd, Rao, Shu Ying, Ho, Tin Ian, Su, Zhaohui, Cheung, Teris, Lopes Lao, Edmundo Patricio, Sha, Sha, Xiang, Yu Tao. Comparing network structures of depressive and anxiety symptoms between demographically-matched heart disease and heart disease free samples using propensity score matching: Findings from the Chinese Longitudinal Healthy Longevity Survey (CLHLS)[J]. Journal of Psychosomatic Research, 2024, 187, 111910.
Authors:
Lam, Mei Ieng
;
Bai, Wei
;
Feng, Yuan
;
Zhang, Qinge
;
Zhang, Yanbo
; et al.
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TC[WOS]:
0
TC[Scopus]:
0
IF:
3.5
/
3.7
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Submit date:2024/10/10
Anxiety
Depression
Heart Disease
Network Analysis
Older Adults
Subspace time series clustering of meteocean data to support ocean and coastal hydrodynamic modeling
Journal article
Tan, Weikai, Stocchino, Alessandro, Cai, Zhongya. Subspace time series clustering of meteocean data to support ocean and coastal hydrodynamic modeling[J]. Ocean Engineering, 2024, 313(1), 119417.
Authors:
Tan, Weikai
;
Stocchino, Alessandro
;
Cai, Zhongya
Favorite
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TC[WOS]:
0
TC[Scopus]:
0
IF:
4.6
/
4.8
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Submit date:2024/11/05
Data Mining
Meteocean Scenarios
Coastal Numerical Modeling
Reanalysis Database
A novel cascade heat design for a geothermal energy-based combined power plant in integration with water electrolysis and ammonia synthesis processes: Comprehensive thermo-environ-economic analyses
Journal article
Jia, Qiaoran, Zhu, Zehua, Zhang, Tao, Liu, Xiwen, Li, Ding, Wang, Maotao, Wang, Min. A novel cascade heat design for a geothermal energy-based combined power plant in integration with water electrolysis and ammonia synthesis processes: Comprehensive thermo-environ-economic analyses[J]. Energy, 2024, 311, 133383.
Authors:
Jia, Qiaoran
;
Zhu, Zehua
;
Zhang, Tao
;
Liu, Xiwen
;
Li, Ding
; et al.
Favorite
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TC[WOS]:
0
TC[Scopus]:
0
IF:
9.0
/
8.2
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Submit date:2024/11/05
Economic Viability
Environmental Sustainability
Geothermal Energy System
Kalina Cycle
Renewable Energy
Thermodynamic Analysis
City metro network expansion based on multi-objective reinforcement learning
Journal article
Zhang, Liqing, U, Leong Hou, Ni, Shaoquan, Chen, Dingjun, Li, Zhenning, Wang, Wenxian, Xian, Weizhi. City metro network expansion based on multi-objective reinforcement learning[J]. Transportation Research Part C: Emerging Technologies, 2024, 169, 104880.
Authors:
Zhang, Liqing
;
U, Leong Hou
;
Ni, Shaoquan
;
Chen, Dingjun
;
Li, Zhenning
; et al.
Favorite
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TC[WOS]:
0
TC[Scopus]:
0
IF:
7.6
/
9.6
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Submit date:2024/11/05
Actor-critic Network
Metro Expansion
Reinforcement Learning
Face Omron Ring: Proactive defense against face forgery with identity awareness
Journal article
Dai, Yunshu, Fei, Jianwei, Huang, Fangjun, Xia, Zhihua. Face Omron Ring: Proactive defense against face forgery with identity awareness[J]. Neural Networks, 2024, 180, 106639.
Authors:
Dai, Yunshu
;
Fei, Jianwei
;
Huang, Fangjun
;
Xia, Zhihua
Favorite
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TC[WOS]:
0
TC[Scopus]:
0
IF:
6.0
/
7.9
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Submit date:2024/09/03
Celebrities Protection
Deep Neural Networks
Face Forgery
Identity Awareness
Proactive Defense
Insights into the role of electrochemical stimulation on sulfur-driven biodegradation of antibiotics in wastewater treatment
Journal article
Quan, Haoting, Jia, Yanyan, Zhang, Huiqun, Ji, Fahui, Shi, Yongsen, Deng, Qiujin, Hao, Tianwei, Khanal, Samir Kumar, Sun, Lianpeng, Lu, Hui. Insights into the role of electrochemical stimulation on sulfur-driven biodegradation of antibiotics in wastewater treatment[J]. Water Research, 2024, 266, 122385.
Authors:
Quan, Haoting
;
Jia, Yanyan
;
Zhang, Huiqun
;
Ji, Fahui
;
Shi, Yongsen
; et al.
Favorite
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TC[WOS]:
0
TC[Scopus]:
0
IF:
11.4
/
12.2
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Submit date:2024/10/10
Cytochrome c
Electrochemical Stimulation
Electrochemical-coupled Sulfur-mediated Biological System
Extracellular Electron Transfer
Machine learning revealing overlooked conjunction of working volume and mixing intensity in anammox optimization
Journal article
Ji, Bohua, Kuok, Sin Chi, Hao, Tianwei. Machine learning revealing overlooked conjunction of working volume and mixing intensity in anammox optimization[J]. Water Research, 2024, 266, 122344.
Authors:
Ji, Bohua
;
Kuok, Sin Chi
;
Hao, Tianwei
Favorite
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TC[WOS]:
0
TC[Scopus]:
0
IF:
11.4
/
12.2
|
Submit date:2024/09/03
Anammox Optimization
Bayesian Inference
Input Power
Mixing Intensity
Velocity Field
Privacy-preserving intelligent fault diagnostics for wind turbine clusters using federated stacked capsule autoencoder
Journal article
Chen, Hao, Wang, Xian Bo, Yang, Zhi Xin, Li, Jia ming. Privacy-preserving intelligent fault diagnostics for wind turbine clusters using federated stacked capsule autoencoder[J]. Expert Systems with Applications, 2024, 254, 124256.
Authors:
Chen, Hao
;
Wang, Xian Bo
;
Yang, Zhi Xin
;
Li, Jia ming
Favorite
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TC[WOS]:
2
TC[Scopus]:
2
IF:
7.5
/
7.6
|
Submit date:2024/07/04
Federated Learning
Intelligent Fault Diagnosis
Stacked Capsule Autoencoder
Wind Turbine