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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:
Lin, Z.
;
Wu, G.
;
Yang, Y.
;
Wan, Z.
;
Zeng, X.
; et al.
Favorite
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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.
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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