Modelling of electron cyclotron energy gain in the tokamak pre-ionization phase by Jinwoo Gwak, Min-Gu Yoo, Hyun-Tae Kim, Yeongsun Lee, Jeongwon Lee, Yong-Su Na

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Consumer Happiness in the Purchase of Electric Vehicles: a Fuzzy Logic Model by Fernando Lámbarry-Vilchis, Aboud Barsekh Onji, Leticia Refugio Chavarría López, Paola Judith Maldonado Colín

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Building and explaining data-driven energy demand models for Indian states by Kieran M R Hunt, Hannah C Bloomfield

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A Team-Compatibility Decision Support System for the National Football League by Young W.A., Weckman G.R.

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Landslide Deformation Uncertainty Quantification Using Conformalized Graph Neural Networks: A Case Study in Sichuan Province, China by Xiaopeng Ren, Wei Liu, Weiqi Yang, Lixuan Mao, Huajin Li

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The picasso gas model: Painting intracluster gas on gravity-only simulations by Florian Kéruzoré, L. E. Bleem, N. Frontiere, N. Krishnan, M. Buehlmann, J. D. Emberson, S. Habib, P. Larsen

“…`picasso` is made publicly available [on Github](https://github.com/fkeruzore/picasso) as a Python package, which includes trained models that can be used to make predictions easily and efficiently, in a fully auto-differentiable and hardware-accelerated framework.…”
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Turbulence modeling and simulation advances in CFD during the past 50 years by Schiestel, Roland, Chaouat, Bruno

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Octascope: A Lightweight Pre-Trained Model for Optical Coherence Tomography by Haoyang Cui, Chen Wang, Paul Calle, Yunlong Liu, Qinghao Zhang, Sinaro Ly, Justin Reynolds, Feng Yan, Ke Zhang, Ronghao Liu, Junyuan Liu, Kar-Ming Fung, Zhongxin Yu, Ajay Jain, Qinggong Tang, Chongle Pan

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Blood profile of proteins and steroid hormones predicts weight change after weight loss with interactions of dietary protein level and glycemic index. by Ping Wang, Claus Holst, Malene R Andersen, Arne Astrup, Freek G Bouwman, Sanne van Otterdijk, Will K W H Wodzig, Marleen A van Baak, Thomas M Larsen, Susan A Jebb, Anthony Kafatos, Andreas F H Pfeiffer, J Alfredo Martinez, Teodora Handjieva-Darlenska, Marie Kunesova, Wim H M Saris, Edwin C M Mariman

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Integrative bulk RNA analysis unveils immune evasion mechanisms and predictive biomarkers of osimertinib resistance in non-small cell lung cancer by Ling Shi, Feng Qiu, Chao Shi, Guohua Zhang, Feng Yu

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AADNet: An End-to-End Deep Learning Model for Auditory Attention Decoding by Nhan Duc Thanh Nguyen, Huy Phan, Simon Geirnaert, Kaare Mikkelsen, Preben Kidmose

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A Controlled Study on Machine Learning Applications to Predict Dry Fabric Color from Wet Samples: Influences of Dye Concentration and Squeeze Pressure by Warren J. Jasper, Samuel M. Jasper

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Validating an Atmospheric Absorption Model through Solar Instrumentation on Sounding Rockets by Nicolas G. Donders, P. S. Athiray, Amy R. Winebarger, Sabrina L. Savage, Dyana L. Beabout, Gary P. Zank

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Modeling Tick Populations: An Ecological Test Case for Gradient Boosted Trees by Manley, William, Tran, Tam, Prusinski, Melissa, Brisson, Dustin

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Electricity Load Forecasting Using Deep Learning and Novel Hybrid Models by Muhammed Sütçü, İbrahim Tümay Gülbahar, Kübra Nur Şahin, Yunus Koloğlu, Mevlüt Emirhan Çelikel

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Modeling Asteroseismic Yields for the Roman Galactic Bulge Time-domain Survey by Trevor J. Weiss, Noah J. Downing, Marc H. Pinsonneault, Joel C. Zinn, Dennis Stello, Timothy R. Bedding, Kaili Cao, Marc Hon, Claudia Reyes, B. Scott Gaudi, Robert F. Wilson, Daniel Huber, Sanjib Sharma

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Modeling Polarized Radio Sounding Observations of a Coronal Mass Ejection by Elizabeth A. Jensen, W. B. Manchester IV, J. E. Kooi, T. Nieves-Chinchilla, L. K. Jian, D. B. Wexler, S. F. Fung, N. Gopalswamy

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Review on Homogenization of Corrugated Materials. State-of-the-art in Modeling of Corrugated Board by Tomasz Garbowski

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A Review of Data-Driven Models for Electromagnetic Devices Design and Analysis by Zihan Li, Mengyu Cheng, Andy Tyrrell, Xing Zhao

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Assessing the reliability of medical resource demand models in the context of COVID-19 by Kimberly Dautel, Ephraim Agyingi, Pras Pathmanathan

“…The code is available at https://doi.org/10.5281/zenodo.13712387 . Results Performance varied greatly across the epidemiological models, with greater variability in COVID-19 hospital use predictions than for COVID-19 deaths as analyzed previously. …”
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