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Enriched oxygen improves age-related cognitive impairment through enhancing autophagy 期刊论文
FRONTIERS IN AGING NEUROSCIENCE, 2024, 卷号: 16, 页码: 14
作者:  Wang, Shengyuan;  Chen, Bengang;  Yuan, Minghao;  Liu, Shu;  Fan, Haixia;  Yang, Xu;  Zou, Qian;  Pu, Yinshuang;  Cai, Zhiyou
收藏  |  浏览/下载：4/0  |  提交时间：2024/04/07
hyperbaric oxygen therapy  autophagy  AMPK-mTOR pathway  tau hyperphosphorylation  cognitive impairment  
Association of blood heavy metal concentrations with hearing loss: a systematic review and meta-analysis 期刊论文
PUBLIC HEALTH, 2024, 卷号: 227, 页码: 95-102
作者:  Yang, T.;  Chen, H. J.;  Zhang, C. Y.;  He, D.;  Yuan, W.
收藏  |  浏览/下载：9/0  |  提交时间：2024/03/01
Heavy metals  Hearing loss  Meta-analysis  Systematic review  
Data-Driven Remote Center of Cyclic Motion Control for Redundant Robots With Rod-Shaped End-Effector 期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2024, 页码: 9
作者:  Liu, Mei;  Liu, Kun;  Zhu, Puchen;  Zhang, Guoqian;  Ma, Xin;  Shang, Mingsheng
收藏  |  浏览/下载：4/0  |  提交时间：2024/04/07
Robots  End effectors  Robot kinematics  Kinematics  Recurrent neural networks  Jacobian matrices  Task analysis  Data driven  end-effector  recurrent neural network (RNN)  redundant robot  remote center of motion (RCM)  
Discrete Data-Driven Control of Redundant Manipulators With Adaptive Jacobian Matrix 期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2024, 页码: 11
作者:  Liu, Mei;  Hu, Yafei;  Jin, Long
收藏  |  浏览/下载：4/0  |  提交时间：2024/04/07
Manipulators  Mathematical models  Manipulator dynamics  Jacobian matrices  Kalman filters  Task analysis  Kinematics  Discrete data-driven Jacobian matrix adaptive control (DDJMAC)  Kalman filter  model-unknown  neural dynamics  redundant manipulators  
Pseudo Gradient-Adjusted Particle Swarm Optimization for Accurate Adaptive Latent Factor Analysis 期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2024, 页码: 14
作者:  Luo, Xin;  Chen, Jiufang;  Yuan, Ye;  Wang, Zidong
收藏  |  浏览/下载：49/0  |  提交时间：2024/02/23
High-dimensional and incomplete (HDI) data  hyperparameter adaptation  latent factor analysis (LFA)  network representation  particle swarm optimization (PSO)  
Improved Deep Learning Predictions for Chlorophyll Fluorescence Based on Decomposition Algorithms: The Importance of Data Preprocessing 期刊论文
WATER, 2023, 卷号: 15, 期号: 23, 页码: 19
作者:  Wang, Lan;  Xie, Mingjiang;  Pan, Min;  He, Feng;  Yang, Bing;  Gong, Zhigang;  Wu, Xuke;  Shang, Mingsheng;  Shan, Kun
收藏  |  浏览/下载：198/0  |  提交时间：2024/01/17
chlorophyll fluorescence  deep learning  online monitoring  time-series decomposition  Dianchi Lake  
Comprehensive Transcriptomic Profiling of m6A Modification in Age-Related Hearing Loss 期刊论文
BIOMOLECULES, 2023, 卷号: 13, 期号: 10, 页码: 18
作者:  Feng, Menglong;  Zhou, Xiaoqing;  Hu, Yaqin;  Zhang, Juhong;  Yang, Ting;  Chen, Zhiji;  Yuan, Wei
收藏  |  浏览/下载：9/0  |  提交时间：2023/12/25
age-related hearing loss  m6A modification  MeRIP-Seq  RNA-Seq  
Flooding Depth and Flooding Duration with the Zonation of Riparian Plant Communities in the Three Gorges Reservoir of China 期刊论文
WATER, 2023, 卷号: 15, 期号: 18, 页码: 14
作者:  Yi, Xuemei;  Huang, Yuanyang;  Jiang, Yi;  Ma, Maohua;  Chen, Qiao;  Wu, Shengjun
收藏  |  浏览/下载：11/0  |  提交时间：2023/12/25
flooding depth  flooding duration  riparian zone  plant zonation  Three Gorges Reservoir  
Historical Attributions and Future Projections of Gross Primary Productivity in the Yangtze River Basin under Climate Change Based on a Novel Coupled LUE-RE Model 期刊论文
REMOTE SENSING, 2023, 卷号: 15, 期号: 18, 页码: 25
作者:  Du, Hong;  Wu, Jian;  Zeng, Sidong;  Xia, Jun
收藏  |  浏览/下载：11/0  |  提交时间：2023/12/25
gross primary productivity  LUE-RE model  attribution analysis  future projection  
A LightGBM and XGBoost Learning Method for Postoperative Critical Illness Key Indicators Analysis 期刊论文
KSII TRANSACTIONS ON INTERNET AND INFORMATION SYSTEMS, 2023, 卷号: 17, 期号: 8, 页码: 2016-2029
作者:  Han, Lei;  Zhu, Yiziting;  Chen, Yuwen;  Huang, Guoqiong;  Yi, Bin
收藏  |  浏览/下载：11/0  |  提交时间：2023/12/25
Critical illness  Light gradient boosting machine (LightGBM)  Indicator analysis  Shapley additive explanation (SHAP) value  Machine learning