Powdery mildew resistance prediction in Barley (Hordeum Vulgare L) with emphasis on machine learning approaches by Farveh Vahidpour, Hossein Sabouri, Fakhtak Taliei, Sayed Javad Sajadi, Saeed Yarahmadi, Hossein Hosseini Moghaddam

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THE RUSSIAN ACADEMY OF SCIENCES: PAST AND FUTURE by I. P. Smirnov

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Effectiveness prediction of Evogliptin treatment in type 2 diabetes mellitus in russian-korean population by Anna A. Mosikian, Alina Y. Babenko, Yulia A. Sevastyanova, Roman V. Drai, Evgenij V. Shlyakhto

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Unraveling the role of gut microbiome in predicting adverse events in neoadjuvant therapy for rectal cancer by Jingxin Ma, Shengbo Sun, Xin Cheng, Cong Meng, Hanzheng Zhao, Wentao Fu, Yan Gao, Liyan Ma, Zhengyang Yang, Hongwei Yao, Jianrong Su

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Predicting Invasiveness in Lepidic Pattern Adenocarcinoma of Lung: Analysis of Visual Semantic and Radiomic Features by Sean F. Johnson, Seyed Mohammad Hossein Tabatabaei, Grace Hyun J. Kim, Bianca E. Villegas, Matthew Brown, Scott Genshaft, Robert D. Suh, Igor Barjaktarevic, William Dean Wallace, Fereidoun Abtin

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Navigating cognitive boundaries: the impact of CognifyNet AI-powered educational analytics on student improvement by Mrim M. Alnfiai, Faiz Abdullah Alotaibi, Mona Mohammed Alnahari, Nouf Abdullah Alsudairy, Asma Ibrahim Alharbi, Saad Alzahrani

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Robust prediction of chaotic systems with random errors using dynamical system deep learning by Zixiang Wu, Jianping Li, Hao Li, Mingyu Wang, Ning Wang, Guangcan Liu

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Maternal plasma cell-free RNA as a predictive test for fetal lung maturation by Sean W. D. Carter, Kay Yi Michelle Seah, Si En Poh, Winston Koh, Haruo Usuda, Erin L. Johnson, Yusaku Kumagai, Tsukasa Takahashi, Lara J. Monteiro, Reyna Peñailillo, Gino Nardocci, Hannah R. S. Watson, Masatoshi Saito, Mahesh A. Choolani, Sebastián E. Illanes, Matthew W. Kemp

“…A Random Forest algorithm identified genes that separated mature from immature fetal lung subgroups and determined AUC values for maternal and fetal cell-free RNA (cfRNA) feature sets to predict fetal lung maturation. Results We demonstrate that the analysis of 21 human cfRNA targets in maternal plasma is highly predictive of fetal lung maturation status across antenatal steroid induced (Dexamethasone AUC = 0.93; Betamethasone AUC = 1) and physiological (AUC = 1) lung development models. …”
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Analysis and Prediction of Disease Burden due to High BMI in China from 1990 to 2019 by YAN Danhong, GAN Tongzhou, YUAN Kongjun, ZHOU Guangqing

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Role of Pelvic Ultrasound in Predicting the Response to Neoadjuvant Chemotherapy in Locally Advanced Cervical Cancer by Giorgia Perniola, Giulia Paoni Saccone, Noemi Tonti, Federica Tanzi, Innocenza Palaia, Violante Di Donato, Federica Tomao, Ludovico Muzii, Giorgio Bogani, Ilaria Cuccu, Enrico Ciminello, Francesco Antonio Battaglia, Giusi Santangelo

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Bioinformatics analysis of ferroptosis-related biomarkers and potential drug predictions in doxorubicin-induced cardiotoxicity by Jian Yu, Jian Yu, Jiangtao Wang, Xinya Liu, Xinya Liu, Cancan Wang, Cancan Wang, Li Wu, Yuanming Zhang, Yuanming Zhang

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Impact of phthalate exposure and blood lipids on breast cancer risk: machine learning prediction by Yanbin Liu, Kunze Li, Yu Zhang, Yifan Cai, Xuanyu Liu, Yiwei Jia, Peizhuo Yao, Xinyu Wei, Huizi Wu, Xuan Liu, Cong Feng, Chaofan Li, Weiwei Wang, Shuqun Zhang, Chong Du

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Prediction of lethal outcomes in COVID-19 cases based on the results chest computed tomography by S. P. Morozov, V. A. Gombolevskiy, V. Yu. Cherninа, I. A. Blokhin, O. A. Mokienko, A. V. Vlаdzimirskiy, A. S. Belevskiy, D. N. Protsenko, M. A. Lysenko, O. V. Zayrаtyants, E. L. Nikonov

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Mentoring within the federal innovation platform System of Personalized Training in a Higher Education Establishment by A. I. Artyukhina, E. V. Shishkina, V. I. Chumakov, A. A. Rybin, V. A. Kuznetsova

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Implementing inter-institutional lifelong sustainability education: The UNI-ECO e-learning case study by Silvia Gallagher, Paula Murphy

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Validación al contexto de la República Dominicana del cuestionario Maslach burnout inventory, en maestros de eduación física (MBI-ED) (Validation of the Maslach burnout inventory... by Diego Radael La Rotta VIillamizar, Diogenes Lizardo Álvarez, Daniel Lara Ángeles

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Predicted vs. Observed Prosthesis–Patient Mismatch After Surgical Aortic Valve Replacement by Giorgia Cibin, Augusto D’Onofrio, Giulia Lorenzoni, Valentina Lombardi, Emma Bergonzoni, Assunta Fabozzo, Irene Cao, Andrea Francavilla, Chiara Tessari, Dario Gregori, Gino Gerosa

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Deep Learning Approach Predicts Longitudinal Retinal Nerve Fiber Layer Thickness Changes by Jalil Jalili, Evan Walker, Christopher Bowd, Akram Belghith, Michael H. Goldbaum, Massimo A. Fazio, Christopher A. Girkin, Carlos Gustavo De Moraes, Jeffrey M. Liebmann, Robert N. Weinreb, Linda M. Zangwill, Mark Christopher

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MELD score predicts outcomes in patients with advanced heart failure: A longitudinal evaluation by Francesco Curcio, Cristiano Amarelli, Rosaria Chiappetti, Irene Mattucci, Veronica Flocco, Mahmoud Issa Rammal, Ciro Abete, Francesca Mazzella, Ciro Maiello, Pasquale Abete, Francesco Cacciatore

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The Influence of Spirituality on the Education of Incarcerated Individuals: Reflections on the Exceptional Experience of Police-Free Prisons in Brazil by Sergio Grossi, Alessandra Augelli

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