GlassBoost: A Lightweight and Explainable Classification Framework for Tabular Datasets by Ehsan Namjoo, Alison N. O’Connor, Jim Buckley, Conor Ryan

“…To evaluate the system, we apply it to an anomaly detection task in the context of intrusion detection systems (IDSs), using a dataset containing traffic features from both malicious and normal activities. …”
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A Systematic Review of the Advances and New Insights into Copy Number Variations in Plant Genomes by Saimire Silaiyiman, Jiaxuan Liu, Jiaxin Wu, Lejun Ouyang, Zheng Cao, Chao Shen

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Sound Localization Training and Induced Brain Plasticity: An fMRI Investigation by Ranjita Kumari, Sukhan Lee, Pradeep Kumar Anand, Jitae Shin

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Comparison of Different Machine Learning Methodologies for Predicting the Non‐Specific Treatment Response in Placebo Controlled Major Depressive Disorder Clinical Trials by Roberto Gomeni, Françoise Bressolle‐Gomeni

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Differential patterns of the relationship between exercise dose and mortality risk across severities of airflow limitation: a prospective cohort study with a 5-year follow-up perio... by Yide Wang, Hongxia Duan, Yingqi Wang, Yidie Bao, Linhong Jiang, Xiaoyu Han, Fengsen Li, Peijun Li, Weibing Wu, Xiaodan Liu

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Age- and Post-Based Complex Analyses of Heart Rate Variability in Young Male Handball Players for Potential Prevention of Overload-induced Injuries by Zita Petrovszki, Olivér Czimbalmos, Vera Gal, Gabor Korosi, Edit Nagy, Rita Mikulan, Gyongyi Horvath

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A novel deep learning technique for multi classify Alzheimer disease: hyperparameter optimization technique by A. S. Elmotelb, Fayroz F. Sherif, A. S. Abohamama, A. S. Abohamama, Mahmoud Fakhr, Amr M. Abdelatif

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Crack-ConvT Net: A Convolutional Transformer Network for Crack Segmentation in Underwater Dams by Pengfei Shi, Hongzhu Chen, Zaiming Geng, Xinnan Fan, Yuanxue Xin

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WSDC-ViT: a novel transformer network for pneumonia image classification based on windows scalable attention and dynamic rectified linear unit convolutional modules by Yu Gu, Haotian Bai, Meng Chen, Lidong Yang, Baohua Zhang, Jing Wang, Xiaoqi Lu, Jianjun Li, Xin Liu, Dahua Yu, Ying Zhao, Siyuan Tang, Qun He

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Metabolism and immune responses of striped hamsters to ectoparasite challenges: insights from transcriptomic analysis by Xinchang Lun, Yiguan Wang, Ning Zhao, Yujuan Yue, Fengxia Meng, Qiyong Liu, Xiuping Song, Ying Liang, Liang Lu

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Association between non-insulin-based insulin resistance indicators and frailty progression: a national cohort study and mendelian randomization analysis by Hui Tian, Yong-meng Li, Cheng-qiang Wang, Guo-qiang Chen, Ying Lian

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Magnesium Isoglycyrrhizinate Alleviates Alectinib-Induced Hepatotoxicity by Inhibiting Mitochondrial Damage-Mediated Pyroptosis by Chen Y, Wang C, Wu Y, Zeng Y, Xie S, Weng J, Guo L, Fu J, Zhou T, Zhang X, Zhou Z

“…Alectinib impaired both the function and structure of mitochondria and caused a significant increase in ROS levels. …”
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Heterogeneous transfer learning model for improving the classification performance of fNIRS signals in motor imagery among cross-subject stroke patients by Jin Feng, YunDe Li, ZiJun Huang, Yehang Chen, SenLiang Lu, RongLiang Hu, QingHui Hu, YuYao Chen, XiMiao Wang, Yong Fan, Jing He

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Long-term stability strategies of deep brain flexible neural interface by Shiya Lv, Zhaojie Xu, Fan Mo, Yu Wang, Yiming Duan, Yaoyao Liu, Luyi Jing, Jin Shan, Qianli Jia, Mingchuan Wang, Siyu Zhang, Yu Liu, Juntao Liu, Jinping Luo, Yirong Wu, Mixia Wang, Yilin Song, Xinxia Cai

“…Abstract Flexible deep brain neural interfaces, as an important research direction in the field of neural engineering, have broad application prospects in areas such as neural signal detection, treatment of neurological diseases, and intelligent control systems. …”
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A Methodology for Turbine-Level Possible Power Prediction and Uncertainty Estimations Using Farm-Wide Autoregressive Information on High-Frequency Data by Francisco Javier Jara Ávila, Timothy Verstraeten, Pieter Jan Daems, Ann Nowé, Jan Helsen

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In vitro machine learning-based CAR T immunological synapse quality measurements correlate with patient clinical outcomes. by Alireza Naghizadeh, Wei-Chung Tsao, Jong Hyun Cho, Hongye Xu, Mohab Mohamed, Dali Li, Wei Xiong, Dimitri Metaxas, Carlos A Ramos, Dongfang Liu

“…The human immune system consists of a highly intelligent network of billions of independent, self-organized cells that interact with each other. …”
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Multimodal Computational Approach for Forecasting Cardiovascular Aging Based on Immune and Clinical–Biochemical Parameters by Madina Suleimenova, Kuat Abzaliyev, Ainur Manapova, Madina Mansurova, Symbat Abzaliyeva, Saule Doskozhayeva, Akbota Bugibayeva, Almagul Kurmanova, Diana Sundetova, Merey Abdykassymova, Ulzhas Sagalbayeva

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Fumarprotocetraric acid and geraniin were identified as novel inhibitors of human respiratory syncytial virus infection in vitro by Chao Wang, Chao Wang, Yi-Man Huang, Yi-Man Huang, Jun Zhao, Jun Zhao, Yi-Ming Bai, Yi-Ming Bai, Cai-Qin Yan, Cai-Qin Yan, Guan-Hua Du, Guan-Hua Du, Li-Shu Zheng, Li-Shu Zheng, Ai-Lin Liu, Ai-Lin Liu

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Hyperspectral RGB Imaging Combined With Deep Learning for Maize Seed Variety Identification by Jian Li, Fan Xu, Shaozhong Song, Qi Ji, Junling Liu

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Radiation-Based Multi-Modal Therapy Combining with Immunotherapy to Develop a Vaccine-Like Effective Treatment for Triple-Negative Breast Cancer by Dai M, Tian Z, Xu F, Yao B, Liang H, Li D, Wang J, Rong J, Liu T, Tang H, Lu H, Zhang W

“…Current treatments like chemotherapy and immunotherapy face challenges due to chemotherapy side effects, limited immunotherapy applicability, and TNBC’s immunosuppressive microenvironment.Purpose: To achieve a more effective treatment for TNBC, a novel therapeutic strategy has been developed, which uses X-ray excited photodynamic therapy (X-PDT) to activate the tumor immune microenvironment following with the immunotherapy of Anti-CTLA4.Methods: Base on the 4T1 tumor mouse model, this study initially investigated the regulatory effects of X-PDT on the tumor immune microenvironment. …”
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