Article
Oncology
Lingge Yang, Yuan Wu, Huan Xu, Jingnan Zhang, Xinjie Zheng, Long Zhang, Yongfang Wang, Weiyu Chen, Kai Wang
Summary: This study aimed to establish a lncRNA-based model for predicting overall survival in LUAD patients. The model showed good predictive value and was found to be associated with immunotherapy and anti-angiogenic therapy sensitivity.
FRONTIERS IN ONCOLOGY
(2022)
Article
Energy & Fuels
Wai Yan Shum, Ning Ma, Xiaomei Lin, Tingting Han
Summary: China, one of the biggest energy consumers and carbon emitters in the world, sees carbon emissions mainly driven by economic growth and energy consumption, with income growth being the least significant factor among others. The ranking helps policymakers focus on critical contributors to carbon emissions and provides flexibility in policy interventions.
FRONTIERS IN ENERGY RESEARCH
(2021)
Article
Food Science & Technology
Leiming Yuan, Xueping Fu, Xiaofeng Yang, Xiaojing Chen, Guangzao Huang, Xi Chen, Wen Shi, Limin Li
Summary: This study developed a rapid and reliable method for non-destructive in-site determination of egg freshness using visible near-infrared (Vis-NIR) spectroscopy combined with interval partial least square regression (iPLS). Semi-transmittance spectra were collected from the waist of eggs and monitored every two days. A series of iPLS models were constructed based on spectral intervals to predict the Haugh unit (HU) of eggs, and the least absolute shrinkage and selection operator (Lasso) was used for model selection and fusion regression. The optimal model achieved the lowest root mean squared error of prediction (RMSEP) and outperformed other models.
Article
Business, Finance
Elyas Elyasiani, Hadi Movaghari
Summary: This study examines the determinants of cash holdings in US firms using robust regression and variable selection techniques. The findings suggest that financial leverage is a key determinant of cash holdings, while the effectiveness of corporate governance mechanisms in managing cash is limited. Additionally, the predictors for cash holdings were significantly impacted by the financial crisis of 2008. The study has important implications for corporate cash managers, shareholders, monetary policy authorities, and scholars.
INTERNATIONAL REVIEW OF ECONOMICS & FINANCE
(2022)
Article
Automation & Control Systems
Tinghua Wang, Zhenwei Hu, Hanming Liu
Summary: Feature selection is a challenging and important task in machine learning and data mining. This paper proposes a unified view of supervised, unsupervised, and semi-supervised feature selection methods. The unified framework, based on the Hilbert-Schmidt independence criterion, shows that these methods share the same objective. It also provides a clear statistical interpretation and enables efficient computation of the global optimal solution through solving a Lasso optimization problem. Additionally, a new unsupervised feature selection algorithm is proposed and demonstrated with benchmark examples.
CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS
(2023)
Article
Multidisciplinary Sciences
Dan Zhang, Guotao Wu, Lichao Yang, Qiang Wu, Lianwen Yuan
Summary: In this study, we identified 5 m6A RNA methylated regulators that are significantly associated with colorectal cancer patients' overall survival. We developed a risk score model that can predict patient outcomes and distinguish cases based on gene expression data. These findings highlight the importance of these regulators in predicting patient prognosis and diagnosing colorectal cancer.
Article
Computer Science, Interdisciplinary Applications
Jasleen Kaur Sethi, Mamta Mittal
Summary: This research investigates the effectiveness of a feature selection method based on LASSO for predicting air quality in Delhi and surrounding cities, identifying meteorological factors and pollutant concentrations as the most important influencing factors, and suggesting preventive measures to improve air quality.
EARTH SCIENCE INFORMATICS
(2021)
Article
Mathematics
Javier Sanchez Garcia, Salvador Cruz Rambaud
Summary: Vector autoregressions (VARs) and their variants are standard models in economic and financial research, but estimating high-dimensional models presents challenges. This paper explores machine learning regularization methods as an alternative to traditional methods, finding that they perform better in forecasting and impulse response analysis. Regularization structures allowing for high-dimensional models outperform standard Bayesian methods in nowcasting and forecasting.
Article
Agronomy
Lei-Ming Yuan, Xiaofeng Yang, Xueping Fu, Jiao Yang, Xi Chen, Guangzao Huang, Xiaojing Chen, Limin Li, Wen Shi
Summary: A strategy of fusing member models with important information has been proposed to improve the prediction reliability of near-infrared spectra (NIRS) quantitative models. Experimental results show that the proposed fusion algorithm outperforms traditional models in multiple spectral datasets, with DW-F model achieving the best performance.
Article
Engineering, Civil
Ranran He, Yuanfang Chen, Yong Liu, Zhengwei Pan, Qin Huang
Summary: This study proposes two strategies for long-term streamflow forecasting: downsampling and optimizing the spatial resolution of sea surface temperature (SST) fields, and shrinking model coefficients using L1 regularization. The downsampled SST field model outperforms the raw SST field model, suggesting that spatial resolution should be treated as a hyperparameter. The relaxed LASSO approach performs better than ordinary LASSO, indicating it is a superior shrinkage method. Stepwise regression based on high-resolution SST fields has lower skill, suggesting caution in predictor selection due to limited samples.
JOURNAL OF HYDROLOGIC ENGINEERING
(2023)
Article
Economics
Massimiliano Caporin, Mikhail Stolbov, Maria Shchepeleva
Summary: This article uses Bayesian model averaging and least absolute shrinkage and selection operator to identify the key factors promoting research activity on banking crises. Bank concentration, GDP per capita, and the peak ratio of non-performing loans to total loans during the latest banking crisis all have an impact on the number of studies published on banking crises.
Article
Oncology
Jie Wu, Jun-Miao Wen, Yu-Chen Wang, Wen-Jie Luo, Qi-Feng Wang, Hong Lv, Bo Dai, Ding-Wei Ye, Heng-Chuan Su, Yi-Ping Zhu
Summary: The study assessed the prognostic value of IHC markers in predicting DFS of bladder cancer patients undergoing radical cystectomy. A multi-marker classifier was developed using LASSO Cox regression model. Results showed that the classifier successfully stratified patients into low- and high-risk groups with significant differences in 10-year DFS rates between the groups.
FRONTIERS IN ONCOLOGY
(2021)
Article
Engineering, Civil
Alexandros Sfyridis, Paolo Agnolucci
Summary: This paper investigates the relationship between road traffic volumes and various characteristics in England and Wales. The results show that socioeconomic and roadway characteristics are the main factors associated with traffic volume, while the association of other variables varies depending on road class and vehicle type.
TRANSPORTATION RESEARCH RECORD
(2023)
Article
Biotechnology & Applied Microbiology
Penghua Gao, Hao Zhang, Huijun Yan, Ningning Zhou, Bo Yan, Yuanlan Fan, Kaixue Tang, Xianqin Qiu
Summary: In this study, M. rosivorum quickly colonized R. longicuspis after inoculation. Under M. rosivorum stress, R. longicuspis responded by activating MAPK cascades, plant hormone signal transduction pathway, RlMYBs and RlERFs transcription factors expression, and ROS production. The 'glutathione metabolic' and 'glucosinolate biosynthesis' pathways played significant roles in rose resistance against aphids.
Article
Construction & Building Technology
Xian Zheng, Rui Li, Yilong Han, Rui Xue, Ju Bai
Summary: Public-private partnerships (PPPs) are increasingly used for financing urban rail transit (URT) projects. This study examines the factors influencing government's choice of operators for URT projects. The findings identify key factors such as project operation duration, government-business relationships, and ownership type that significantly impact operator selection. The study contributes to URT project management knowledge and provides a systematic approach for local governments to select suitable operating partners.
JOURNAL OF CONSTRUCTION ENGINEERING AND MANAGEMENT
(2023)
Article
Urology & Nephrology
Zhangqun Ye, Guohua Zeng, Huan Yang, Jianxin Li, Kun Tang, Guomin Wang, Shusheng Wang, Yonggang Yu, Yujie Wang, Tao Zhang, Yongfu Long, Weibin Li, Changmin Wang, Wei Wang, Sihe Gao, Yuxi Shan, Xiaobo Huang, Zhiming Bai, Xiaohan Lin, Yue Cheng, Qinzhang Wang, Zhuoqun Xu, Liping Xie, Jianlin Yuan, Shengqiang Ren, Yuhui Fan, Tiejun Pan, Jing Wang, Xun Li, Xuehua Chen, Xiaojian Gu, Zhaolin Sun, Kefeng Xiao, Jianye Jia, Qinghua Zhang, Gongxian Wang, Ting Sun, Xuedong Li, Changbao Xu, Chuangliang Xu, Guowei Shi, Jiayang He, Leming Song, Guang Sun, Dongwen Wang, Yili Liu, Chunxi Wang, Yi Han, Peiyu Liang, Zhiping Wang, Wei He, Zhiqiang Chen, Jinchun Xing, Hua Xu
Article
Thermodynamics
Sun Xiaofei, Yao Shouguang, Xu Jinjin, Feng Guozeng, Yan Likun
JOURNAL OF THERMAL SCIENCE
(2020)
Article
Chemistry, Physical
Juan Jin, Yu-Chang Wang, Wen-Fu Yan, Chan Wang, Wei-Li Wang, Yu-Zhong Niu, Bai-Qing Yuan, Hui Xu, Han-Shu Li, Qin-Jun Zhang
JOURNAL OF MOLECULAR STRUCTURE
(2020)
Article
Chemistry, Multidisciplinary
Shuya Li, Qin Wang, Yanqiong Shen, Muhammad Hassan, Jizhou Shen, Wei Jiang, Yitan Su, Jing Chen, Li Bai, Wenchao Zhou, Yucai Wang
Review
Medicine, Research & Experimental
Dan-Dan Huang, Guangjiang Shi, Yaping Jiang, Chao Yao, Chuanlin Zhu
BIOMEDICINE & PHARMACOTHERAPY
(2020)
Article
Energy & Fuels
Bin Cao, Yangkai Sun, Jianping Yuan, Shuang Wang, Xun Gong, Bahram Barati, Anqing Zheng, Ding Jiang, Yamin Hu, Chuan Yuan, Zhixia He
INTERNATIONAL JOURNAL OF ENERGY RESEARCH
(2020)
Article
Cell Biology
Ting Cai, Qingqing Ke, Yi Fang, Ping Wen, Hanzhi Chen, Qi Yuan, Jing Luo, Yu Zhang, Qi Sun, Yunhui Lv, Ke Zen, Lei Jiang, Yang Zhou, Junwei Yang
CELL DEATH & DISEASE
(2020)
Article
Geosciences, Multidisciplinary
Zhou Zhang, Lifang Zhao, Jin Yang, Min Zhou
ARABIAN JOURNAL OF GEOSCIENCES
(2020)
Article
Immunology
Qing Yu, Yufei Wang, Lin Dong, Ying He, Ruichen Liu, Qiuli Yang, Yejin Cao, Yuexin Wang, Anna Jia, Yujing Bi, Guangwei Liu
FRONTIERS IN CELLULAR AND INFECTION MICROBIOLOGY
(2020)
Article
Chemistry, Physical
Shuya Li, Saerona Kim, Andrew H. Davis, Jingshun Zhuang, Eric Wolfgang Shuler, Debora Willinger, Jae-Joon Lee, Weiwei Zheng, Benjamin D. Sherman, Chang Geun Yoo, Gyu Leem
Summary: Selective cleavage of C-C bonds in lignin at ambient temperature was achieved using a HAT-DSPEC system, which combines a dye-sensitized photoelectrochemical cell with a hydrogen atom transfer mediator under redox-neutral conditions. The system demonstrated excellent efficiency and selectivity in the cleavage of the C(aryl)-C(alkyl) bond under solar irradiation.
Proceedings Paper
Biochemical Research Methods
Wu Lee, Yuliang Shi, Lin Cheng, Yongqing Zheng, Zhongmin Yan
2020 IEEE INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOMEDICINE
(2020)
Article
Cardiac & Cardiovascular Systems
Zhi-Nan Lu, Mario Evora, Edmundo Lao, Man Ieng Pun, Weng Hong Pun, Monica Pon, Kong Chu, Pui I. Ieong, Toi-Meng Mok, Yong-Jian Wu
JOURNAL OF GERIATRIC CARDIOLOGY
(2020)
Review
Oncology
Shishou Wu, Dong Gao, Yuanfeng Zhang, Ping Yang, Yunjun Wang, Ning Wang, Jianfeng Xu, Guohua Yu
INTERNATIONAL JOURNAL OF CLINICAL AND EXPERIMENTAL PATHOLOGY
(2020)
Article
Chemistry, Inorganic & Nuclear
Rong-Yun Li, Hou-Ting Liu, Chuan-Cong Zhou, Zhi-Tong Chu, Jing Lu, Su-Na Wang, Juan Jin, Wen-Fu Yan
INORGANIC CHEMISTRY FRONTIERS
(2020)
Article
Oncology
Qian Peng, Liyang Zhang, Junjun Li, Wei Wang, Jing Cai, Yuanyuan Ban, Ying Zhou, Meng Hu, Yan Mei, Zhaoyang Zeng, Xiaoling li, Wei Xiong, Guiyuan Li, Yixin Tan, Bo Xiang, Mei Yi