Discrete moments models for Vlasov equations with non constant strong magnetic limit by Charles, Frédérique, Després, Bruno, Dai, Ruiyang, Hirstoaga, Sever A.

“…A projection of the original model on this kernel yields what we call the reduced model. …”
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Diffusion based multi-domain neuroimaging harmonization method with preservation of anatomical details by Haoyu Lan, Bino A. Varghese, Nasim Sheikh-Bahaei, Farshid Sepehrband, Arthur W Toga, Jeiran Choupan

“…While GAN-based methods intrinsically transform imaging styles between two domains per model, we have demonstrated the diffusion model’s superior capability in harmonizing images across multiple domains with single model. …”
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Analysis of the Double Head Streamer Discharge Simulation under Different Pressures by Maha .F. Abdulameer, Thamer H. Khalaf

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Adaptive Wavelet Precise Integration Method for Nonlinear Black-Scholes Model Based on Variational Iteration Method by Huahong Yan

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Identifying Canopy Snow in Subalpine Forests: A Comparative Study of Methods by Natasha Harvey, Sean P. Burns, Keith N. Musselman, Holly Barnard, Peter D. Blanken

“…Direct measurements of canopy snow interception are difficult at scales larger than individual trees, requiring indirect methods such as eddy covariance, time‐lapse photography, or modeling. …”
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Octodon degus laboratory colony management principles and methods for behavioral analysis for Alzheimer’s disease neuroscience research by B. Maximiliano Garduño, Todd C. Holmes, Todd C. Holmes, Robert M. J. Deacon, Xiangmin Xu, Xiangmin Xu, Xiangmin Xu, Patricia Cogram, Patricia Cogram

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A multiscale model for espresso brewing: Asymptotic analysis and numerical simulation by Yoana Grudeva, Kevin M. Moroney, Jamie M. Foster

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Renormalization Group Approach as a Symmetry Transformation for an Analysis of Non-Newtonian Elastic Turbulence by Andriy A. Avramenko, Igor V. Shevchuk, Nataliia P. Dmitrenko, Alina V. Konyk

“…Symmetry transformation methods are widely used in fluid flow problems. One such method is renormalization group analysis. …”
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Analysis of the Characteristics and Agglomeration Effect of the Rural Element Spatial Correlation Network in Northeast China by Yu Sun, Jing Ning, Yongxin Piao

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Comparative analysis of frequency characteristics for constructing digital models options of components of electrical complexes aperiodic units by Alexander S. Glazyrin, Evgeniy I. Popov, Semen S. Popov, Vladimir A. Kopyrin, Sergey N. Kladiev, Andrey P. Leonov, Nataliya A. Voronina, Vladimir Z. Kovalev

“…As a result, the aim of the paper is to determine the limits of applicability in the frequency domain of existing methods of transition to the Z-region using the analog prototype method by conducting a comparative analysis of the integral error in approximating the frequency characteristics of the analog prototype with digital models of the aperiodic link for each of the methods. …”
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Exploring nonlinearity in quarter car models with an experimental approach to formulating fractional order form and its dynamic analysis by Tadios Molla, Prakash Duraisamy, Karthikeyan Rajagopal, Anitha Karthikeyan, Salah Boulaaras

Subjects: “…Nonlinear quarter car model…”
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Causal information changes how we reason: a mixed-methods analysis of decision-making with causal information by Samantha Kleinberg, Cristina Leone, Alice Liefgreen, David A. Lagnado

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Research on Kill Chain Analysis Method of Cooperative Combat Based on System of Systems Framework by Wei Xufang, Lou Zhaokai, Tu Yan, Han Yu, Pan Hui

“…This paper studies the kill chain analysis method of cooperative combat based on system of systems framework, summarizes the idea of kill chain modeling based on system of systems framework, sorts out the modeling steps of kill chain analysis, puts forward the kill chain analysis and evaluation model. …”
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TDP-SAR: Task-Driven Pruning Method for Synthetic Aperture Radar Target Recognition Convolutional Neural Network Model by Tong Zheng, Qing Wu, Chongchong Yu

“…While deep learning has become the predominant approach for SAR target recognition, existing methods face practical deployment challenges due to excessive model complexity. …”
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ED-Stacking：A Construction Method of Few-shot Prediction Model for Beef Microbial Growth Based on Ensemble Learning by Hanqiang LI, Yi CHEN, Yufei GAO, Kun HOU, Liping SONG, Jing LI

“…Finally, the stacking method in ensemble learning was used to fuse the three trained models to form ED-Stacking, a microbial growth prediction model with better performance in prediction. …”
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Raman spectroscopy coupled with the PLSR model: A rapid method for analyzing gamma-oryzanol content in rice bran oil by Pattamapan Lomarat, Chutima Phechkrajang, Pawida Sunghad, Natthinee Anantachoke

“…Additionally, Bland-Altman plots comparing results from Raman and HPLC methods showed random scatter within ±2 SD of the mean difference, confirming the method's reliability. …”
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New approaches of genetic analysis for quantitative traits and their applications in breeding by ZHU Jun

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Three-Dimensional Finite Element Method Modeling for the Improvement of the Design of an Electromechanical Device to Drive a Fan Shaft Balancing System by Marcin Lefik, Michał Krygier, Leszek Podsędkowski

“…A simplified three-dimensional model and the finite element method were used to solve the problem. …”
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Multifractal Analysis of Hydrologic Data Using Wavelet Methods and Fluctuation Analysis by Tongzhou Zhao, Liang Wu, Dehua Li, Yiming Ding

“…Then we focus on the multifractal analysis using MF-DFA and WLMF. The two methods give the same conclusion that at most sites the records satisfy the generalized binomial multifractal model, which is robust for different times (morning, afternoon, and evening). …”
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Predicting COVID-19 severity in pediatric patients using machine learning: a comparative analysis of algorithms and ensemble methods by Babak Pourakbari, Setareh Mamishi, Sepideh Keshavarz Valian, Shima Mahmoudi, Reihaneh Hosseinpour Sadeghi, Mohammad Reza Abdolsalehi, Mahmoud Khodabandeh, Mohammad Farahmand

“…Various machine learning models were trained and assessed, with a SuperLearner ensemble model implemented to enhance predictive accuracy. …”
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