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Multivariable prediction of returning to work among early-onset colorectal cancer survivors in China: A two-year follow-up Journal article
Chen, Xiaojun, Zhong, Mengjiao, Chen, Chunyan, Huang, Lingyao, Zhang, Kun, Wu, Xiaodan. Multivariable prediction of returning to work among early-onset colorectal cancer survivors in China: A two-year follow-up[J]. Asia-Pacific Journal of Oncology Nursing, 2025, 12, 100637.
Authors:  Chen, Xiaojun;  Zhong, Mengjiao;  Chen, Chunyan;  Huang, Lingyao;  Zhang, Kun; et al.
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:2.4/2.7 | Submit date：2025/01/22
Early-onset Colorectal Cancer  Returning To Work  Prediction Model  Return-to-work Self-efficacy  Family Care  Psychosocial Adjustment  
Low-rank quaternion matrix completion based on approximate quaternion SVD and sparse regularizer Journal article
Han, Juan, Yang, Liqiao, Kou, Kit Ian, Miao, Jifei, Liu, Lizhi. Low-rank quaternion matrix completion based on approximate quaternion SVD and sparse regularizer[J]. Applied Mathematics and Computation, 2025, 491, 129230.
Authors:  Han, Juan;  Yang, Liqiao;  Kou, Kit Ian;  Miao, Jifei;  Liu, Lizhi
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:3.5/3.1 | Submit date：2025/01/22
Image Completion  Low Rank  Quaternion Matrix  Quaternion Qr Decomposition  Sparse Representation  
A fully value distributional deep reinforcement learning framework for multi-agent cooperation Journal article
Fu, Mingsheng, Huang, Liwei, Li, Fan, Qu, Hong, Xu, Chengzhong. A fully value distributional deep reinforcement learning framework for multi-agent cooperation[J]. Neural Networks, 2025, 184.
Authors:  Fu, Mingsheng;  Huang, Liwei;  Li, Fan;  Qu, Hong;  Xu, Chengzhong
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:6.0/7.9 | Submit date：2025/01/22
Deep Reinforcement Learning  Multi-agent Cooperation  Distributional Reinforcement Learning  Neural Networks  
Unveiling the influence of disciplinary biases on information sampling during an interdisciplinary collaboration creative task through eye-tracking analysis Journal article
Kwan, Letty Y.Y., Hung, Yu Sheng. Unveiling the influence of disciplinary biases on information sampling during an interdisciplinary collaboration creative task through eye-tracking analysis[J]. New Ideas in Psychology, 2025, 77, 101129.
Authors:  Kwan, Letty Y.Y.;  Hung, Yu Sheng
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:2.3/2.5 | Submit date：2025/01/22
Electrochemical reduction of CO2 on pure and doped Cu2O(1 1 1) Journal article
Liu, Hongling, Liu, Di, Yu, Zhichao, Bai, Haoyun, Pan, Hui. Electrochemical reduction of CO2 on pure and doped Cu2O(1 1 1)[J]. Journal of Colloid and Interface Science, 2025, 683, 170-177.
Authors:  Liu, Hongling;  Liu, Di;  Yu, Zhichao;  Bai, Haoyun;  Pan, Hui
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:9.4/8.2 | Submit date：2025/01/22
Electrochemical Co2 Reduction  Cu2o(1 1 1)  P-block Metal Doping  Formic Acid  First-principles Calculations  
A multilevel latent profile analysis to job demands, job resources, and personal resources in early childhood educators: Implications for multidimensional well-being Journal article
Li, Jian Bin, Xu, Yu, Sun, Jin, Qiu, Shiqi, Zhang, Rui, Yang, An. A multilevel latent profile analysis to job demands, job resources, and personal resources in early childhood educators: Implications for multidimensional well-being[J]. Journal of School Psychology, 2025, 109, 101405.
Authors:  Li, Jian Bin;  Xu, Yu;  Sun, Jin;  Qiu, Shiqi;  Zhang, Rui; et al.
Favorite | TC[WOS]:1 TC[Scopus]:2  IF:3.8/5.6 | Submit date：2025/01/22
Well-being  Preschool Teachers  Jd-r  Multilevel Latent Profile Analysis  
Microbiologically influenced corrosion of friction-surfaced 630 stainless steel coating in the presence of Pseudomonas aeruginosa Journal article
Chang, Weiwei, Gao, Jianguo, Qian, Hongchang, Guo, Dawei, Zhou, Min, Lou, Yuntian, Lam, Wai I., Kwok, Chi Tat, Tam, Lap Mou, Zhang, Dawei. Microbiologically influenced corrosion of friction-surfaced 630 stainless steel coating in the presence of Pseudomonas aeruginosa[J]. Corrosion Science, 2025, 245, 112708.
Authors:  Chang, Weiwei;  Gao, Jianguo;  Qian, Hongchang;  Guo, Dawei;  Zhou, Min; et al.
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:7.4/7.9 | Submit date：2025/01/22
Microbiologically Influenced Corrosion  Friction Surfacing  630 Stainless Steel  Pseudomonas Aeruginosa  
Virtual companionship or flesh and blood: The effects of study-with-me (SWM) videos on learners’ intrinsic motivation, perceived pressure, and performance Journal article
Ren, Ning, Reynolds, Barry Lee, Rusk, Brian V.. Virtual companionship or flesh and blood: The effects of study-with-me (SWM) videos on learners’ intrinsic motivation, perceived pressure, and performance[J]. Computers and Education, 2025, 228, 105243.
Authors:  Ren, Ning;  Reynolds, Barry Lee;  Rusk, Brian V.
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:8.9/11.6 | Submit date：2025/01/22
Study-with-me Videos  Independent Learning  Virtual Learning Environment  Basic Psychological Needs  
Advancements in exponential synchronization and encryption techniques: Quaternion-Valued Artificial Neural Networks with two-sided coefficients Journal article
Li, Chenyang, Kou, Kit Ian, Zhang, Yanlin, Liu, Yang. Advancements in exponential synchronization and encryption techniques: Quaternion-Valued Artificial Neural Networks with two-sided coefficients[J]. Neural Networks, 2025, 183, 106982.
Authors:  Li, Chenyang;  Kou, Kit Ian;  Zhang, Yanlin;  Liu, Yang
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:6.0/7.9 | Submit date：2025/01/22
Quaternion-valued Artificial Neural Networks  Exponential Synchronization  Controllers  Encryption Of Image  Two-sided Coefficient  
Explainable exercise recommendation with knowledge graph Journal article
Guan, Quanlong, Cheng, Xinghe, Xiao, Fang, Li, Zhuzhou, He, Chaobo, Fang, Liangda, Chen, Guanliang, Gong, Zhiguo, Luo, Weiqi. Explainable exercise recommendation with knowledge graph[J]. Neural Networks, 2025, 183, 106954.
Authors:  Guan, Quanlong;  Cheng, Xinghe;  Xiao, Fang;  Li, Zhuzhou;  He, Chaobo; et al.
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:6.0/7.9 | Submit date：2025/01/22
Exercise Recommendation  Knowledge Graph  Student Feature Extraction