SPINE: SParse eIgengene NEtwork linking gene expression clusters in Dehalococcoides mccartyi to perturbations in experimental conditions. by Cresten B Mansfeldt, Benjamin A Logsdon, Garrett E Debs, Ruth E Richardson

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Network archaeology: uncovering ancient networks from present-day interactions. by Saket Navlakha, Carl Kingsford

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Leveraging deep learning and graph analysis for enhanced course recommendations in online education by Xinxin Chen, Xiaojing Wang, Ying Wang, Dan Liu, Wei Zhang

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Numerical Simulation of a Partly Filled Rectangular Tank with Fuel Oil by Farhan Lafta Rashid, Emad Qasem Hussein, Mudhar A. Al-Obaidi, Awesar A. Hussain

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FloodGenome: interpretable machine learning for decoding features shaping property flood risk predisposition in cities by Chenyue Liu, Ali Mostafavi

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Condition monitoring of axial piston pumps based on machine learning-driven real-time CFD simulation by Wentao Wang, Qun Chao, Junjie Shi, Chengliang Liu

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A Formulation–Process–Product Integrated Design Method for Accelerating Pharmaceutical Tablet Development via the High-Shear Wet Granulation and Tableting Route by Zichen Liang, Xuefang Tang, Liping Chen, Yifei Liu, Shuying Zhao, Xiao Ma, Gan Luo, Bing Xu

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Transfer learning of species co-occurrence patterns between plant communities by Johannes Hirn, Verónica Sanz, José Enrique García, Marta Goberna, Alicia Montesinos-Navarro, José Antonio Navarro-Cano, Ricardo Sánchez-Martín, Alfonso Valiente-Banuet, Miguel Verdú

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Genetic diversity insights from population genomics and machine learning tools for Nordic Arctic charr (Salvelinus alpinus) populations by Christos Palaiokostas, Khrystyna Kurta, Fotis Pappas, Henrik Jeuthe, Ørjan Hagen, José Beirão, Matti Janhunen, Antti Kause

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The Analysis of Downscaling Results of Weather Parameters for Iran Future by Maryam Bayatvarkeshi, rojin fasihi

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CrysMTM: a multiphase, temperature-resolved, multimodal dataset for crystalline materials by Can Polat, Erchin Serpedin, Mustafa Kurban, Hasan Kurban

“…These results highlight both the selective difficulty posed by temperature-sensitive geometric targets and the considerable room for innovation in model design. All dataset files, model implementations, and pretrained checkpoints are available at https://github.com/KurbanIntelligenceLab/CrysMTM .…”
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Economic Feasibility and Decarbonization Incentives of Sugarcane Biogas Production Pathways by Flavio Eduardo Fava, Lucílio Rogério Aparecido Alves, Thiago Libório Romanelli

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Forecasting of the Geomagnetic Activity for the Next 3 Days Utilizing Neural Networks Based on Parameters Related to Large‐Scale Structures of the Solar Corona by Tingyu Wang, Bingxian Luo, Jingjing Wang, Xianzhi Ao, Liqin Shi, Qiuzhen Zhong, Siqing Liu

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Artificial intelligence for smart irrigation: Reducing water consumption and improving agricultural output by Arlanova A. A., Hojamkuliyeva B. A., Babanazarov N. Sh., Arlanov M. S.

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Incorporating Hourly Convective Cloud Data Into Tropical Cyclone Rapid Intensification Forecasting With Machine Learning by Qiaoyan Wu, Tong Luo, Jiacheng Hong

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Evaluation of the Effect of Compost Tea on Tomato Yield by Bahram Tafaghodinia

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Optimized segmentation of overlapping cervical cells based on Mask2Former and denoising by Baocan Zhang, Wei Zhao, Chenxi Huang, Quan Lan, Weihong Lu

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A Data and Machine Learning-Based Approach for the Conversion of the Encounter Wave Frequency Spectrum to the Original Wave Spectrum by JeongYong Park, MooHyun Kim

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Inhibitory circuit motifs in Drosophila larvae generate motor program diversity and variability. by Jacob Francis, Caius R Gibeily, William V Smith, Isabel S Petropoulos, Michael Anderson, William J Heitler, Astrid A Prinz, Stefan R Pulver

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Testing biochemistry revisited: how in vivo metabolism can be understood from in vitro enzyme kinetics. by Karen van Eunen, José A L Kiewiet, Hans V Westerhoff, Barbara M Bakker

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