UM

Browse/Search Results:  1-10 of 80 Help

Selected(0)Clear Items/Page:    Sort:
Anisotropic large magnetoresistance and Fermi surface topology of terbium monoantimonide Journal article
F. Tang, X. Shen, J. Zhou, S. Cong, L. Zhang, W. Zhou, Z. D. Han, B. Qian, X. F. Jiang, R. K. Zheng, W. Zhao, X. C. Kan, J. Tang, Y. Y. Han, X. Q. Yin, Y. Fang, S. Ju. Anisotropic large magnetoresistance and Fermi surface topology of terbium monoantimonide[J]. Materials Today Physics, 2022, 24, 100657.
Authors:  F. Tang;  X. Shen;  J. Zhou;  S. Cong;  L. Zhang; et al.
Favorite | TC[WOS]:4 TC[Scopus]:6  IF:10.0/9.8 | Submit date:2022/05/13
Angular Magnetoresistance  Antiferromagnetic  Magnetic Anisotropy  Magnetoresistance  
Integrated Strain Sensors with Stretchable Vertical Graphene Networks for Non-invasive Physiological Assessment Journal article
Yang, C., Shen, Z., Yao, C., Huang, S., Huang, X., Mo, J., Yang, C., Chen, M., Chen, H., Hang, T., Xie, X., Liu, F.. Integrated Strain Sensors with Stretchable Vertical Graphene Networks for Non-invasive Physiological Assessment[J]. ACS Applied Electronic Materials, 2022, 964-973.
Authors:  Yang, C.;  Shen, Z.;  Yao, C.;  Huang, S.;  Huang, X.; et al.
Favorite | TC[WOS]:9 TC[Scopus]:9  IF:4.3/4.4 | Submit date:2022/08/29
Integrated Bioelectronics  Flexible Piezoresistive Sensors  Vertical Graphene Nanowalls  Pulse Wave  Respiration Rate  Cardiovascular Disease Prediction  
Quantum oscillations and quasilinear magnetoresistance in the topological semimetal candidate ScSn2 Journal article
Chen, Y., Tang, F., Meng, W. Z., Shen, X., Zhao, W., Yin, X. Q., Cong, S., Yi, Q. H., Zhang, L., Wu, D. J., Han, Z. D., Qian, B., Jiang, X. F., Zhang, X. M., Fang, Y.. Quantum oscillations and quasilinear magnetoresistance in the topological semimetal candidate ScSn2[J]. Physical Review B, 2021, 104(16), 165128.
Authors:  Chen, Y.;  Tang, F.;  Meng, W. Z.;  Shen, X.;  Zhao, W.; et al.
Favorite | TC[WOS]:3 TC[Scopus]:3  IF:3.2/3.3 | Submit date:2021/12/08
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  
Characterization of chemical composition and prebiotic effect of a dietary medicinal plant Penthorum chinense Pursh Journal article
Yin, J., Ren, W., Wei, B., Huang, H., Li, M., Wu, X., Wang, A., Xiao, Z., Shen, J., Zhao, Y., Du, F., Ji, H., Kaboli, P.J., Ma, Y., Zhang, Z., Cho, C.H., Wang, Shengpeng, Wu, Xu, Wang, Yitao. Characterization of chemical composition and prebiotic effect of a dietary medicinal plant Penthorum chinense Pursh[J]. Food Chemistry, 2020, 319, 126568.
Authors:  Yin, J.;  Ren, W.;  Wei, B.;  Huang, H.;  Li, M.; et al.
Favorite | TC[WOS]:48 TC[Scopus]:49  IF:8.5/8.2 | Submit date:2022/08/22
Penthorum Chinense  Mass Spectrometry  Polyphenol  Gut Microbiota  Prebiotic  Antioxidant  
A Study on Design Requirement Development and Satisfaction for Future Virtual World Systems Journal article
Shen, B.Q., Tan, W.M., Guo, J. Z., Cai, H.M., Wang, B., Zhuo, S.H.. A Study on Design Requirement Development and Satisfaction for Future Virtual World Systems[J]. Future Internet, 2020, 12(7), 112.
Authors:  Shen, B.Q.;  Tan, W.M.;  Guo, J. Z.;  Cai, H.M.;  Wang, B.; et al.
Favorite | TC[WOS]:11 TC[Scopus]:17  IF:2.8/3.0 | Submit date:2022/08/15
Virtual Reality  Augmented Reality  Virtual World  Trend Analysis  Design Requirement  Distributed Architecture  
A Video Information Driven Football Recommendation System Journal article
Meng, X., Li, Z., Wang, S., Karambakhsh, A., Shen, B., Yang, P., Li, P., Mao, M.. A Video Information Driven Football Recommendation System[J]. Computers and Electrical Engineering, 2020, 85, 1-15.
Authors:  Meng, X.;  Li, Z.;  Wang, S.;  Karambakhsh, A.;  Shen, B.; et al.
Favorite | TC[WOS]:20 TC[Scopus]:21  IF:4.0/3.8 | Submit date:2022/08/05
Detection  Movements Analysis  Collaborative Filtering  Recommendation  Tracking  
Laboratory data on long-term sealing behaviors of two water-swelling materials for shield tunnel gasket Other
2020-04-22
Authors:  Tan, J. S.;  Shen, S. L.;  Zhou, A.;  Wang, Z. N.;  Lyu, H. M.
Favorite | TC[WOS]:2 TC[Scopus]:4 | Submit date:2021/12/06
Micro-damage Morphology  Storage Modulus  Swelling Behavior  
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
Cooperation of endogenous and exogenous reactive oxygen species induced by zinc peroxide nanoparticles to enhance oxidative stress-based cancer therapy Journal article
Lin, L., Wang, J., Song, J., Liu, Y., Zhu, G., Dai, Y., Shen, Z., Tian, R., Song, J., Wang, Z., Tang, W., Yu, G., Zhou, Z., Yang, Z., Huang, T., Niu, G., Yang, H., Chen, Z., Chen, X.. Cooperation of endogenous and exogenous reactive oxygen species induced by zinc peroxide nanoparticles to enhance oxidative stress-based cancer therapy[J]. Theranostics, 2019, 7200-7209.
Authors:  Lin, L.;  Wang, J.;  Song, J.;  Liu, Y.;  Zhu, G.; et al.
Favorite | TC[WOS]:124 TC[Scopus]:122  IF:12.4/12.0 | Submit date:2022/08/01
Tumor-targeted Delivery  Photodynamic Therapy  Prostate-cancer  Ros Generation  Cells  Mitochondria  Transporters  Nanocarriers  Doxorubicin  Activation