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An Ion‐Conductive Grafted Polymeric Binder with Practical Loading for Silicon Anode with High Interfacial Stability in Lithium‐Ion Batteries Journal article
Lin, Z., Wu, G., Yang, Y., Wan, Z., Zeng, X., Yan, L., Wu, S.X., Ling, M., Liang, C., Xu GN(許冠南), Lin, Z.. An Ion‐Conductive Grafted Polymeric Binder with Practical Loading for Silicon Anode with High Interfacial Stability in Lithium‐Ion Batteries[J]. Advanced Energy Materials, 2022, 12(29), 2201197.
Authors:  ; et al.
Favorite | TC[WOS]:105 TC[Scopus]:108  IF:24.4/27.2 | Submit date：2023/02/07
Ah-level Pouch Cells  Lean Binder Content  Lithium-ion Batteries  Silicon Nanoparticle Anodes  Stress Distribution Binders  
Adaptive Sliding Mode Disturbance Observer and Deep Reinforcement Learning Based Motion Control for Micropositioners Journal article
Liang, S., Xi, R., Xiao, X., Yang, Z. X.. Adaptive Sliding Mode Disturbance Observer and Deep Reinforcement Learning Based Motion Control for Micropositioners[J]. Micromachines, 2022, 1-10.
Authors:  Liang, S.;  Xi, R.;  Xiao, X.;  Yang, Z. X.
Favorite |   IF:3.0/3.0 | Submit date：2022/08/31
micropositioners  reinforcement learning  disturbance observer  deep deterministic policy gradient  
Ultra-stable anti-washout cement grout achieved by super water absorbing villus-like nanocomposite hydrogel Journal article
Guo, H., Tang, Z., Liu, Q., Xu, J., Wang, M., Liang, R., Sun, G.. Ultra-stable anti-washout cement grout achieved by super water absorbing villus-like nanocomposite hydrogel[J]. Construction and Building Materials, 2021, 124035--.
Authors:  Guo, H.;  Tang, Z.;  Liu, Q.;  Xu, J.;  Wang, M.; et al.
Favorite |   IF:7.4/8.0 | Submit date：2022/08/24
Anti-washout Cement Grout  Villus-like Nanocomposite Hydrogel  Washout Loss  Slump Flow  Bleeding Capacity  Chemical Interaction  
Developing a logic model for the adoption of electronic medication administration records to improve quality of care in long-term care facilities: a key stakeholder interview study Conference paper
Lei, K. C., Liang, Z., Hu, H., Ung, O. L. C.. Developing a logic model for the adoption of electronic medication administration records to improve quality of care in long-term care facilities: a key stakeholder interview study[C], 2021.
Authors:  Lei, K. C.;  Liang, Z.;  Hu, H.;  Ung, O. L. C.
Favorite |  | Submit date：2022/07/27
logic model  electronic medication administration records  long-term care facilities  quality of care  key stakeholder interview study  
Eleven routine clinical features predict COVID-19 severity uncovered by machine learning of longitudinal measurements Journal article
Zhou, Kai, Sun, Yaoting, Li, Lu, Zang, Zelin, Wang, Jing, Li, Jun, Liang, Junbo, Zhang, Fangfei, Zhang, Qiushi, Ge, Weigang, Chen, Hao, Sun, Xindong, Yue, Liang, Wu, Xiaomai, Shen, Bo, Xu, Jiaqin, Zhu, Hongguo, Chen, Shiyong, Yang, Hai, Huang, Shigao, Peng, Minfei, Lv, Dongqing, Zhang, Chao, Zhao, Haihong, Hong, Luxiao, Zhou, Zhehan, Chen, Haixiao, Dong, Xuejun, Tu, Chunyu, Li, Minghui, Zhu, Yi, Chen, Baofu, Li, Stan Z., Guo, Tiannan. Eleven routine clinical features predict COVID-19 severity uncovered by machine learning of longitudinal measurements[J]. Computational and Structural Biotechnology Journal, 2021, 19, 3640-3649.
Authors:  Zhou, Kai;  Sun, Yaoting;  Li, Lu;  Zang, Zelin;  Wang, Jing; et al.
Favorite | TC[WOS]:26 TC[Scopus]:29  IF:4.4/5.0 | Submit date：2021/12/07
Covid-19  Sars-cov-2  Severity Prediction  Machine Learning  Routine Clinical Test  Longitudinal Dynamics  
Crocin protects mouse astrocyte C8-D1A cytotoxicity induced by LPS via regulation of NF-ĸB signaling pathway Conference paper
Liang, Z., Qian, E., Hoi, P. M.. Crocin protects mouse astrocyte C8-D1A cytotoxicity induced by LPS via regulation of NF-ĸB signaling pathway[C], 2021.
Authors:  Liang, Z.;  Qian, E.;  Hoi, P. M.
Favorite |  | Submit date：2022/08/10
crocin  astrocyte  neurodegenerative disease  
Predictive effects of IgA and IgG combination to assess pulmonary exudation progression in COVID-19 patients Journal article
Xue M., Zhang T., Hu H., Huang Z., Zhen Y., Liang Y., Zeng Y., Jin T., Zhou L., Zhang X.D., Sun B.. Predictive effects of IgA and IgG combination to assess pulmonary exudation progression in COVID-19 patients[J]. Journal of Medical Virology, 2021, 93(3), 1443-1448.
Authors:  Xue M.;  Zhang T.;  Hu H.;  Huang Z.;  Zhen Y.; et al.
Adobe PDF | Favorite | TC[WOS]:11 TC[Scopus]:13  IF:6.8/6.6 | Submit date：2021/03/03
Covid-19  Iga  Igg  Prediction Effects  
Genetic risk of extranodal natural killer T-cell lymphoma: a genome-wide association study in multiple populations Journal article
Lin G.-W., Xu C., Chen K., Huang H.-Q., Chen J., Song B., Chan J.K.C., Li W., Liu W., Shih L.-Y., Chuang W.-Y., Kim W.S., Tan W., Peng R.-J., Laurensia Y., Cheah D.M.Z., Huang D., Cheng C.L., Su Y.-J., Tan S.-Y., Ng S.-B., Tang T.P.L., Han K., Wang V.Y.-F., Jia W.-H., Pei Z., Li Y.-J., Gao S., Shi Y., Hu Z., Zhang F., Zhang B., Zeng Y.-X., Shen H., He L., Ong C.K., Lim S.T., Chanock S., Kwong Y.-L., Lin D., Rothman N., Khor C.C., Lan Q., Bei J.-X., Au W.-Y., Chiu B., Fan L., Li Z., LAM T.H., Liang R., Yeh S.-P., Xu J., Ip D.K.M., Li G., Xu G., Wang X., Bai O., Cai Q.-Q., Xia Y., Chen J.-R., Luo C.-L., Xiong X.-Y., Zeng Y., Wei P.-P., Liu C.-J., Liu Y.-X., Cao Y.-L., He S., Liu Y., Ha J.C.H., Khoo L.P., Kee R.X., Tan J., Liu Y., Zhang F., Feng Y., Rao H., Chng W.J., Chan J.Y.S., Somasundaram N.D., Tao M., Ras M.F.B.H., Yeoh K.-W., Goh Y.T., Ong S.Y., Grigoropoulos N.F., Wong E.K.Y., Pang J.W.L., Lim J.Q., Chia B.K.H., Kim S.J., Yoon S.E., Choi S., Kuo C.-Y., Chen T.-Y., Su Y.-C., Huang W.-T., Lee M.-Y., Yao W., Ngan K.-C., Liu H., Lee H., Yip S.-F., Liu J., Li J., Rabkin C.S., Berndt S., Bassig B., Hu W., Zhao M., Li Y., Zhai Q., Shao Z., Qiu L., Wang J., Xu F.-P., Chen L., Hou Y., Xu S., Huang Z., Xie M., Li M., Zhong S., Zhang Y., Gu D., Wang X., Foo J.N., Li Z., Dai J., Sun L., Wang Z., Liu H., Zhou H., Sun Y., Koh W.-P., Heng C.-K., Hong C.S., Ahn J., Park K.H., Tin A., Gu J., Xia X., Li B., Yu X., International NKTCL Working Group. Genetic risk of extranodal natural killer T-cell lymphoma: a genome-wide association study in multiple populations[J]. The Lancet Oncology, 2020, 21(2), 306-316.
Authors:  Lin G.-W.;  Xu C.;  Chen K.;  Huang H.-Q.;  Chen J.; et al.
Favorite | TC[WOS]:49 TC[Scopus]:52  IF:41.6/42.2 | Submit date：2022/06/15
Intelligent Fault Diagnosis Via Semi-Supervised Generative Adversarial Nets and Wavelet Transform Journal article
Liang, P., Deng, C., Wu, J., Li, G., Yang, Z. X.. Intelligent Fault Diagnosis Via Semi-Supervised Generative Adversarial Nets and Wavelet Transform[J]. IEEE Transactions on Instrumentation and Measurement, 2019, 1-12.
Authors:  Liang, P.;  Deng, C.;  Wu, J.;  Li, G.;  Yang, Z. X.
Favorite |   IF:5.6/5.6 | Submit date：2022/08/31
Fault Diagnosis  Semi-Supervised  Generative Adversarial Nets  
Worldwide prevalence of falls in older adults with psychiatric disorders: A meta-analysis of observational studies Journal article
Rao,Wen Wang, Zeng,Liang Nan, Zhang,Ji Wen, Zong,Qian Qian, An,Feng Rong, Ng,Chee H., Ungvari,Gabor S., Yang,Fang Yu, Zhang,Juan, Peng,Kelly Z., Xiang,Yu Tao. Worldwide prevalence of falls in older adults with psychiatric disorders: A meta-analysis of observational studies[J]. Psychiatry Research, 2019, 273, 114-120.
Authors:  Rao,Wen Wang;  Zeng,Liang Nan;  Zhang,Ji Wen;  Zong,Qian Qian;  An,Feng Rong; et al.
Favorite | TC[WOS]:9 TC[Scopus]:9 | Submit date：2019/09/06
Fall  Meta-analysis  Older Adults  Psychiatry