Hydrodynamic Characteristic and Prediction Study of 1, 1, 1, 2-Tetrafluoroethane under Supercritical Pressure by S. C. Liu, Z. G. Li, W. Han, Y. X. Jiao, S. M. Zheng, X. T. Song, J. H. Kou

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Machine learning developed an immune evasion signature for predicting prognosis and immunotherapy benefits in lung adenocarcinoma by Dongxiao Ding, Gang Huang, Liangbin Wang, Ke Shi, Junjie Ying, Wenjun Shang, Li Wang, Chong Zhang, Maofen Jiang, Yaxing Shen

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Characterization of drug‐induced transcriptional modules: towards drug repositioning and functional understanding by Murat Iskar, Georg Zeller, Peter Blattmann, Monica Campillos, Michael Kuhn, Katarzyna H Kaminska, Heiko Runz, Anne‐Claude Gavin, Rainer Pepperkok, Vera van Noort, Peer Bork

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Predicting disease progression from the rate of bodyweight change in nasopharyngeal carcinoma patient during radiotherapy by Jiachen Sun, Sai kit Edmond Lam, Xinzhi Teng, Jiang Zhang, Francis Kar-ho Lee, Celia Wai-yi Yip, James Chung-hang Chow, Victor Ho-fun Lee, Ying Sun, Jing Cai

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Multiphoton imaging-based quantifiable collagen signatures for predicting outcomes in patients with pancreatic ductal adenocarcinoma by Xiwen Chen, Jikui Miao, Xingxin Huang, Xiahui Han, Liqin Zheng, Jianxin Chen, Linying Chen, Lianhuang Li

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Data‐driven prediction of phase formation in graphene–metal systems based on phase diagram insights by Leilei Chen, Changheng Li, Kai Xu, Ruonan Zhou, Ming Lou, Yujie Du, Denis Music, Keke Chang

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Machine learning and the nomogram as the accurate tools for predicting postoperative malnutrition risk in esophageal cancer patients by Zhenmeng Lin, Zhenmeng Lin, Hao He, Mingfang Yan, Xiamei Chen, Hanshen Chen, Jianfang Ke

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Deep Gaussian process with uncertainty estimation for microsatellite instability and immunotherapy response prediction from histology by Sunho Park, Morgan F. Pettigrew, Yoon Jin Cha, In-Ho Kim, Minji Kim, Imon Banerjee, Isabel Barnfather, Jean R. Clemenceau, Inyeop Jang, Hyunki Kim, Younghoon Kim, Rish K. Pai, Jeong Hwan Park, N. Jewel Samadder, Kyo Young Song, Ji-Youn Sung, Jae-Ho Cheong, Jeonghyun Kang, Sung Hak Lee, Sam C. Wang, Tae Hyun Hwang

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Feature fusion ensemble classification approach for epileptic seizure prediction using electroencephalographic bio-signals by Yazeed Alkhrijah, Yazeed Alkhrijah, Shehzad Khalid, Shehzad Khalid, Syed Muhammad Usman, Amina Jameel, Muhammad Zubair, Haya Aldossary, Aamir Anwar, Saad Arif

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Evaluation and Comparison of the PREVENT and Pooled Cohort Equations for 10‐Year Atherosclerotic Cardiovascular Risk Prediction by Hui Zhou, Yiyi Zhang, Matt M. Zhou, Soon Kyu Choi, Kristi Reynolds, Teresa N. Harrison, Brandon K. Bellows, Andrew E. Moran, Lisandro D. Colantonio, Norrina B. Allen, Monika M. Safford, Jaejin An

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Improving landslide susceptibility prediction through ensemble recursive feature elimination and meta-learning framework by Krishnagopal Halder, Amit Kumar Srivastava, Anitabha Ghosh, Subhabrata Das, Santanu Banerjee, Subodh Chandra Pal, Uday Chatterjee, Dipak Bisai, Frank Ewert, Thomas Gaiser

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Hair Allopregnanolone in Mares and Foals as a Retrospective Biomarker of Predicting Feto-Maternal Well-Being by Nicola Ellero, Aliai Lanci, Jole Mariella, Robin van den Boom, Alessio Cotticelli, Tanja Peric, Alberto Prandi, Francesca Freccero, Carolina Castagnetti

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PD-L1 expression in microvascular endothelial cells predicts the efficacy and side effects of anlotinib by Yingfang Feng, Yuan Gao, Shaochuan Liu, Tingting Qin, Yan Zhang, Jing Wang, Kai Li

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Multiband THz MIMO antenna with regression machine learning techniques for isolation prediction in IoT applications by Md Ashraful Haque, Kamal Hossain Nahin, Jamal Hossain Nirob, Md. Kawsar Ahmed, Narinderjit Singh Sawaran Singh, Liton Chandra Paul, Abeer D. Algarni, Mohammed ElAffendi, Ahmed A. Abd El-Latif, Abdelhamied A. Ateya

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Predicting the oral health-related behaviors of the Iranian elderly based on the extended theory of planned behavior by Saeid Bashirian, Sahar Khoshravesh, Erfan Ayubi, Mahrokh Amiri, Akram Karimi-Shahanjarini, Majid Barati, Parshang Faghih Solaymani

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The immunological age prediction of monocytes indicates that gestational diabetes mellitus accelerates the aging of monocytes in offspring by Yan Zhang, Rui Guo, Min Yin, Mei Shi, Ting Zhong, Shanshan Liu, Xia Li

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Research on Management Model Based on Deep Learning by Yuting Zhao

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Non-Destructive Prediction of Apple Moisture Content Using Thermal Diffusivity Phenomics for Quality Assessment by Jung-Kyu Lee, Moon-Kyung Kang, Dong-Hoon Lee

“…Multiple linear regression and leave-one-out cross-validation confirmed that mean temperature-based models provided the most stable predictions (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msubsup><mi>R</mi><mrow><mi>C</mi><mi>V</mi></mrow><mn>2</mn></msubsup></mrow></semantics></math></inline-formula> ≥ 0.90 for some varieties). …”
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A nomogram based on multiparametric magnetic resonance imaging radiomics for prediction of acute pancreatitis activity by Ting-Ting Liu, You-Qiang Hu, Ning-Jun Yu, Xue-Ying Zhang, Dong-Lin Jiang, Jiang Luo, Yong Chen, Di Tao, Xing-Hui Li, Xiao-Ming Zhang

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In Silico Prediction of Alkaline Phosphatase Interaction with the Natural Inhibitory 5-Azaindoles Guitarrin C and D by Aleksandra Seitkalieva, Yulia Noskova, Marina Isaeva, Alla Guzii, Tatyana N. Makarieva, Sergey Fedorov, Larissa Balabanova

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