Magnetospheric Multiscale observations of large‐amplitude, parallel, electrostatic waves associated with magnetic reconnection at the magnetopause by R. E. Ergun, J. C. Holmes, K. A. Goodrich, Victoria Wilder, J. E Stawarz, S. Eriksson, D. L. Newman, S. J. Schwartz, M. V. Goldman, A. P. Sturner, D. M. Malaspina, M. E. Usanova, R. B. Torbert, M. Argall, P.‐A. Lindqvist, Y. Khotyaintsev, J. L. Burch, R. J. Strangeway, C. T. Russell, C. J. Pollock, B. L. Giles, J. J. C. Dorelli, L. Avanov, M. Hesse, L. J. Chen, B. Lavraud, O. Le Contel, A. Retino, T. D. Phan, J. P. Eastwood, M. Oieroset, J. Drake, M. A. Shay, P. A. Cassak, R. Nakamura, M. Zhou, M. Ashour‐Abdalla, M. André

“…Abstract We report observations from the Magnetospheric Multiscale satellites of large‐amplitude, parallel, electrostatic waves associated with magnetic reconnection at the Earth's magnetopause. …”
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The Multiscale Pore Connectivity Network via Scaling Relationship Derived from a Sandstone Image by Teo Lay Lian

“…This paper presents a study on a multiscale pore connectivity network derived from a sandstone image. …”
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Multi-Channel Underwater Acoustic Signal Analysis Using Improved Multivariate Multiscale Sample Entropy by Jing Zhou, Yaan Li, Mingzhou Wang

“…To address these issues, the improved multivariate multiscale sample entropy (IMMSE) algorithm is proposed, which extracts the complexity of multi-channel data, enabling a more comprehensive and stable representation of the dynamic characteristics of complex nonlinear systems. …”
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Semantic Segmentation Network for Unstructured Rural Roads Based on Improved SPPM and Fused Multiscale Features by Xinyu Cao, Yongqiang Tian, Zhixin Yao, Yunjie Zhao, Taihong Zhang

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Advanced Multiscale Modeling of Potassium‐Ion Batteries for Interplay of Electrochemical and Mechanical Behavior Across Scales by Subeen Kim, Yun Kim, Yoon Koo Lee, Jihwan Song

“…Potassium‐ion batteries present a promising alternative to address the global lithium shortage. …”
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A multiscale approach to modelling drug metabolism by membrane-bound cytochrome P450 enzymes. by Richard Lonsdale, Sarah L Rouse, Mark S P Sansom, Adrian J Mulholland

“…A significant number of computational studies have been performed on P450s, but the majority of these have been performed on the solubilised forms of P450s. Here we present a multiscale approach for modelling P450s, spanning from coarse-grained and atomistic molecular dynamics simulations to reaction modelling using hybrid quantum mechanics/molecular mechanics (QM/MM) methods. …”
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A hierarchical multiscale model of forward and backward alpha-band traveling waves in the visual system. by Jakob C B Schwenk, Andrea Alamia

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LRU-Net: lightweight and multiscale feature extraction for localization of ACL tears region in MRI images by Xiaojun Si, Liang Yan, Cui Shi, Yang Xu

“…However, current models often struggle with multiscale and boundary-sensitive tear patterns and tend to be computationally intensive.MethodsWe present LRU-Net, a lightweight residual U-Net designed for ACL tear segmentation. …”
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Manual Acupuncture Manipulation Recognition Method via Interactive Fusion of Spatial Multiscale Motion Features by Jiyu He, Chong Su, Jie Chen, Jinniu Li, Jingwen Yang, Cunzhi Liu

“…Thus, we propose a Spatial Multiscale Interactive Fusion MAM Recognition Network to solve the difficulties in MAM recognition. …”
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A multiscale functional map of somatic mutations in cancer integrating protein structure and network topology by Yingying Zhang, Alden K. Leung, Jin Joo Kang, Yu Sun, Guanxi Wu, Le Li, Jiayang Sun, Lily Cheng, Tian Qiu, Junke Zhang, Shayne D. Wierbowski, Shagun Gupta, James G. Booth, Haiyuan Yu

“…Two distinct methodologies—one analyzing mutation clustering within protein sequences and 3D structures, the other leveraging protein-protein interaction network topology—offer complementary strengths. We present NetFlow3D, a unified, end-to-end 3D structurally-informed protein interaction network propagation framework that maps the multiscale mechanistic effects of mutations. …”
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MFCANet: Multiscale Feature Context Aggregation Network for Oriented Object Detection in Remote-Sensing Images by Honghui Jiang, Tingting Luo, Hu Peng, Guozheng Zhang

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Classification of Satellite Image Time Series and Aerial Images Based on Multiscale Fusion and Multilevel Supervision by H. Kanyamahanga, M. Dorozynski, F. Rottensteiner

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The Method for Determining Optimal Analysis Length of Vibration Data Based on Improved Multiscale Permutation Entropy by Jianwei Zhang, Ziyu Li, Peng Yan, Yang Li, Jinlin Huang

“…Therefore, a method based on improved multiscale permutation entropy (IMPE) is proposed to determine the optimal data analytical length (ODAL) of vibration data. …”
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Mechanisms and modelling of diffusion in solids: a multiscale framework with industrial case studies and AI enhancements by Obinna Onyebuchi Barah, Faith Natukunda, Ige Bori, Kelechi John Ukagwu

“…Abstract Diffusion in solids is a fundamental mechanism governing mass transport, phase transformations, and microstructural evolution in metals, alloys, and functional materials. This review presents a comprehensive overview of key atomic-scale diffusion mechanisms, including substitutional, interstitial, grain boundary, and surface/pipe pathways, within the classical framework of Fick’s steady-state and non-steady-state laws. …”
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Data‐Driven Theoretical Modeling of Centrifugal Step Emulsification and Its Application in Comprehensive Multiscale Analysis by Xin Wang, Xiaolu Cai, Chao Wan, Huijuan Yuan, Shunji Li, Yiwei Zhang, Ran Zhao, Yuxi Qin, Yiwei Li, Bi‐Feng Liu, Peng Chen

“…To address this, a novel customized assembled centrifugal step emulsifier (CASE) is presented by incorporating a “jigsaw puzzles” design to efficiently acquire large‐scale experimental data. …”
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A two-branch multiscale spectral-spatial feature extraction network for hyperspectral image classification by Aamir Ali, Caihong Mu, Zeyu Zhang, Jian Zhu, Yi Liu

“…However, some existing methods for extracting spectral and spatial features can only generate low-level features and consider limited scales, leading to low classification results, and dense-connection based methods enhance the feature propagation at the cost of high model complexity. This paper presents a two-branch multiscale spectral-spatial feature extraction network (TBMSSN) for HSI classification. …”
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Multiscale Intermuscular Coupling Analysis via Complex Network-Based High-Order O-Information by Chang Yu, Qingshan She, Michael Houston, Tongcai Tan, Yingchun Zhang

“…This study introduced a multiscale intermuscular coupling analysis framework based on complex networks with O-Information (Information About Organizational Structure). …”
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Mechanisms and modelling of diffusion in solids: a multiscale framework with industrial case studies and AI enhancements by Barah, Obinna Onyebuchi, Natukunda, Faith, Bori, Ige, Ukagwu, Kelechi John

“…Diffusion in solids is a fundamental mechanism governing mass transport, phase transformations, and microstructural evolution in metals, alloys, and functional materials. This review presents a comprehensive overview of key atomic-scale diffusion mechanisms, including substitutional, interstitial, grain boundary, and surface/pipe pathways, within the classical framework of Fick’s steady-state and non-steady-state laws. …”
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SSTMNet: Spectral-Spatio-Temporal and Multiscale Deep Network for EEG-Based Motor Imagery Classification by Albandari Alotaibi, Muhammad Hussain, Hatim Aboalsamh

“…Then, the temporal dependency across the entire EEG trial is worked out using a temporal dependency block, resulting in spectral-spatio-temporal features, which are passed to a multiscale block to learn multiscale spectral-–spatio-temporal features. …”
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MSUD-YOLO: A Novel Multiscale Small Object Detection Model for UAV Aerial Images by Xiaofeng Zhao, Hui Zhang, Wenwen Zhang, Junyi Ma, Chenxiao Li, Yao Ding, Zhili Zhang

“…Due to the objects in UAV aerial images often presenting characteristics of multiple scales, small objects, complex backgrounds, etc., the performance of object detection using current models is not satisfactory. …”
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