Development of a Digital Model of the Agricultural Tool Working Element by V. I. Myalenko

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The Speed of Interplanetary Shocks Through the Magnetosheath: A Toy Model by C. Moissard, C. Butcher, E. Ruler, J. Richardson, B. Michotte de Welle, W. Steward, M. Pritchard, D. Gonzalez Del Valle, V. Defayet, A. Bernal, V. Cavicchi, V. David

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Prediction of Earthquake Death Toll Based on Principal Component Analysis, Improved Whale Optimization Algorithm, and Extreme Gradient Boosting by Chenhui Wang, Xiaotao Zhang, Xiaoshan Wang, Guoping Chang

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Integration of multi agent reinforcement learning with golden jackal optimization for predicting average localization error in wireless sensor networks by K. Lakshmi Prabha, Hanan Abdullah Mengash, Hamed Alqahtani, Randa Allafi

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Summarising and synthesising regression coefficients through systematic review and meta-analysis for improving hypertension prediction using metamodelling: protocol by Alexander A Leung, Hude Quan, Tanvir C Turin, Mohammad Ziaul Islam Chowdhury, Iffat Naeem, Khokan C Sikdar, Maeve O'Beirne

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The role of m6A methylation genes in predicting poor prognosis in sepsis: identifying key biomarkers and therapeutic targets by Shaokang Wang, Siye Shen, Na Cheng, Wenjun Zhou, Weili Yu, Daiyun Liang, Lijun Cao, Pinjie Zhang, Zhonghua Lu, Yun Sun

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A nomogram for predicting overall survival in oral squamous cell carcinoma: a SEER database and external validation study by Ziye Xu, Manbin Xu, Zhichen Sun, Qin Feng, Shaowei Xu, Hanwei Peng

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SEGT-GO: a graph transformer method based on PPI serialization and explanatory artificial intelligence for protein function prediction by Yansong Wang, Yundong Sun, Baohui Lin, Haotian Zhang, Xiaoling Luo, Yumeng Liu, Xiaopeng Jin, Dongjie Zhu

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A divide-and-conquer approach based on deep learning for long RNA secondary structure prediction: Focus on pseudoknots identification. by Loïc Omnes, Eric Angel, Pierre Bartet, François Radvanyi, Fariza Tahi

“…Our approach is able to scale to long RNAs by recursively partitioning sequences into smaller fragments until they can be managed by an existing model able to predict RNA secondary structure including pseudoknots. …”
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Preoperative MRI-based radiomics analysis of intra- and peritumoral regions for predicting CD3 expression in early cervical cancer by Rui Zhang, Chunfan Jiang, Feng Li, Lin Li, Xiaomin Qin, Jiang Yang, Huabing Lv, Tao Ai, Lei Deng, Chencui Huang, Hui Xing, Feng Wu

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Integrating Advanced Techniques: RFE-SVM Feature Engineering and Nelder-Mead Optimized XGBoost for Accurate Lung Cancer Prediction by Sarah Ayad, Hamdi A. Al-Jamimi, Ammar El Kheir

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Modeling Exhaust Emissions in Older Vehicles in the Era of New Technologies by Maksymilian Mądziel

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Financial Distress Prediction Analysis at PT Garuda Indonesia Tbk for 2020-2023 Using the Grover, Taffler and Springate Methods by Fayza Safira Hasanah, Ananda Putri Hasanah, Erwin Budianto

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Development of a Self-Updating System for the Prediction of Steel Mechanical Properties in a Steel Company by Machine Learning Procedures by Valerio Zippo, Elisa Robotti, Daniele Maestri, Pietro Fossati, David Valenza, Stefano Maggi, Gennaro Papallo, Masho Hilawie Belay, Simone Cerruti, Giorgio Porcu, Emilio Marengo

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A novel composite index of PSA and periprostatic adipose tissue quantification for enhancing high-grade prostate cancer prediction by Jie Xiong, Yunfan Liu, Xiaofeng Qiao, Guangyong Ai, Jiangqin Ma, Xiaojing He

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Integration of histopathological images and immunological analysis to predict M2 macrophage infiltration and prognosis in patients with serous ovarian cancer by Ling Zhao, Jiajia Tan, Qiuyuan Su, Yan Kuang, Yan Kuang

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Comparison and Application of Pore Pressure Prediction Methods for Carbonate Formations: A Case Study in Luzhou Block, Sichuan Basin by Wenzhe Li, Pingya Luo, Yatian Li, Jinghong Zhou, Xihui Hu, Qiutong Wang, Yiguo He, Yi Zhang

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In-Hospital Mortality Prediction among Intensive Care Unit Patients with Acute Ischemic Stroke: A Machine Learning Approach by Jack A. Cummins, Ben S. Gerber, Mayuko Ito Fukunaga, Nils Henninger, Catarina I. Kiefe, Feifan Liu

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Leveraging petrophysical and geological constraints for AI-driven predictions of total organic carbon (TOC) and hardness in unconventional reservoir prospects by Nandito Davy, Ammar El-Husseiny, Umair bin Waheed, Korhan Ayranci, Manzar Fawad, Mohamed Mahmoud, Nicholas B. Harris

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The role of 3D speckle-tracking echocardiography in predicting long-term outcomes after a first myocardial infarction by T. M. Timofeeva, V. P. Efimova, A. F. Safarova, Zh. D. Kobalava

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