How Do Microphysical Processes Influence Large‐Scale Precipitation Variability and Extremes? by Samson Hagos, L. Ruby Leung, Chun Zhao, Zhe Feng, Koichi Sakaguchi

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Fifty years of studying the Medvezhiy Glacier (West Pamirs) by the Institute of Geography, RAS by G. B. Osipova

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Identification of 17 novel epigenetic biomarkers associated with anxiety disorders using differential methylation analysis followed by machine learning-based validation by Yoonsung Kwon, Asta Blazyte, Yeonsu Jeon, Yeo Jin Kim, Kyungwhan An, Sungwon Jeon, Hyojung Ryu, Dong-Hyun Shin, Jihye Ahn, Hyojin Um, Younghui Kang, Hyebin Bak, Byoung-Chul Kim, Semin Lee, Hyung-Tae Jung, Eun-Seok Shin, Jong Bhak

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Clinical validation of a biopsy‐based six‐gene signature prognostic for aggressive prostate cancer by Agnieszka Krzyzanowska, Debra F. Higgins, Stephen Barron, Tony Loughman, Amanda O'Neill, Katherine M. Sheehan, Chan‐Ju Angel Wang, Bozena Fender, Leah McGuire, Joanna Fay, Anthony O'Grady, Des O'Leary, R. William Watson, Anders Bjartell, William M. Gallagher

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Accelerating high-concentration monoclonal antibody development with large-scale viscosity data and ensemble deep learning by Lateefat A. Kalejaye, Jia-Min Chu, I-En Wu, Bismark Amofah, Amber Lee, Mark Hutchinson, Chacko Chakiath, Andrew Dippel, Gilad Kaplan, Melissa Damschroder, Valentin Stanev, Maryam Pouryahya, Mehdi Boroumand, Jenna Caldwell, Alison Hinton, Madison Kreitz, Mitali Shah, Austin Gallegos, Neil Mody, Pin-Kuang Lai

“…In this study, we measured the viscosity of a panel of 229 monoclonal antibodies (mAbs) to develop predictive models for high concentration mAb screening. …”
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PhyIndBC: Development of a machine learning tool for screening of potential breast cancer inhibitors from phytochemicalsGitHub by Agneesh Pratim Das, Subhash M. Agarwal

“…In summary, the validated machine learning model developed in this study has been incorporated into a freely available standalone package named PhyIndBC (https://github.com/subhashmagarwal/PhyIndBC) which can be used for virtual screening and predicting breast cancer inhibitors of plant origin.…”
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Uncertainty Quantification Based on Deep-Learning Approach Integrating Time-Lapse Seismic Data for Geological Carbon Storage by Hyunmin Kim, Hyundon Shin, Honggeun Jo

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Hybrid VLC-RF Channel Estimation for GFDM Wireless Sensor Networks Using Tree-Based Regressor by Azam Isam Aladwani, Tarik Adnan Almohamad, Abdullah Talha Sözer, İsmail Rakıp Karaş

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A novel machine learning-based approach to determine the reduction factor for punching shear strength capacity of voided concrete slabs by Alireza Mahmoudian, Mussa Mahmoudi, Mohammad Yekrangnia, Nima Tajik, Mostafa Mohammadzadeh Taleshi

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Developing an intensive reading material for EFL students: A final product by Pratnyawati Nuridi Suwarso, Muhammad Dzulfiqar Praseno

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Control Parameters Design Procedure for Multi-Converters DC Power System Considering Dynamic Interaction Between Converters by Xueshen Zhao, Lin Zhu, Li Guo, Xialin Li, Zhi Wang, Hao Lu, Chengshan Wang

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Development of Heyzine-assisted handout on human respiratory system material in the eighth grades of junior high school by Tiara Marantika Natalia, Eko Sri Wahyuni, T. Titin

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Pattern and risk factors for distant metastases in gastrointestinal neuroendocrine neoplasms: a population‐based study by Wen Cai, Yinuo Tan, Weiting Ge, Kefeng Ding, Hanguang Hu

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IADL for identifying cognitive impairment in Chinese older adults: insights from cross-lagged panel network analysis by Xiaotong Zhai, Ruizhe Wang, Ran Liu, Depeng Jiang, Xiaojin Yu

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RL-Based Vibration-Aware Path Planning for Mobile Robots’ Health and Safety by Sathian Pookkuttath, Braulio Felix Gomez, Mohan Rajesh Elara

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Identification and validation of a prognostic signature related to hypoxic tumor microenvironment in cervical cancer. by Chenyu Nie, Haixia Qin, Li Zhang

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Variational graph autoencoder for reconstructed transcriptomic data associated with NLRP3 mediated pyroptosis in periodontitis by Pradeep K. Yadalam, Prabhu Manickam Natarajan, Carlos M. Ardila

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Design of a Novel Conditional Noise Predictor for Image Super-Resolution Reconstruction Based on DDPM by Jiyan Zhang, Hua Sun, Haiyang Fan, Yujie Xiong, Jiaqi Zhang

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Error Quantification of Gaussian Process Regression for Extracting Eulerian Velocity Fields from Ocean Drifters by Junfei Xia, Mohamed Iskandarani, Rafael C. Gonçalves, Tamay Özgökmen

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A machine learning based classifier for topological quantum materials by Ashiqur Rasul, Md Shafayat Hossain, Ankan Ghosh Dastider, Himaddri Roy, M. Zahid Hasan, Quazi D. M. Khosru

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