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    Data-driven stochastic 3D modeling of the nanoporous binder-conductive additive phase in battery cathodes by Phillip Gräfensteiner, Markus Osenberg, André Hilger, Nicole Bohn, Joachim R. Binder, Ingo Manke, Volker Schmidt, Matthias Neumann

    Published 2025-05-01
    “…Abstract A stochastic 3D modeling approach for the nanoporous binder-conductive additive phase in hierarchically structured cathodes of lithium-ion batteries is presented. …”
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  5. 705

    Machine-learning models for Alzheimer’s disease diagnosis using neuroimaging data: survey, reproducibility, and generalizability evaluation by Maryam Akhavan Aghdam, Serdar Bozdag, Fahad Saeed, Alzheimer’s Disease Neuroimaging Initiative

    Published 2025-03-01
    “…To better understand the landscape, we surveyed the major preprocessing, data management, traditional machine-learning (ML), and deep learning (DL) techniques used for diagnosing AD using neuroimaging data such as structural magnetic resonance imaging (sMRI), functional magnetic resonance imaging (fMRI), and positron emission tomography (PET). …”
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  6. 706

    Analysis of domain structure parameters of RFe11Ti (R = Y, Gd, Ho, Er) single crystals based on magnetic force microscopy data by A.M. Guseva, A.I. Sinkevich, S.D. Smetannikova, E.M. Semenova, Yu..G. Pastushenkov

    Published 2024-12-01
    “…Based on the magnetic force microscopy data, the sizes of domains on the basal plane of the samples were determined. …”
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    Reconstruction of Typhoon Structure Using 3-Dimensional Doppler Radar Radial Velocity Data with the Multigrid Analysis: A Case Study in an Idealized Simulation Context by Hongli Fu, Xinrong Wu, Wei Li, Yuanfu Xie, Guijun Han, Shaoqing Zhang

    Published 2016-01-01
    “…These data are used to reconstruct the synthetic 3D “typhoon” structure by the STMAS and the traditional 3D variational (3D-Var) analysis. …”
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  9. 709

    Combination Manner of Sampling Method and Model Structure: The Key Factor for Rice Mapping Based on Sentinel-1 Images Using Data-Driven Machine Learning by Pengliang Wei, Jiao Guo, Jiaqian Lian, Chaoyang Wang

    Published 2025-01-01
    “…Agricultural remote sensing community is increasingly focusing on enhancing crop mapping accuracy by improving data-driven machine-learning model structures, yet ignoring impact of sampling–model structure combination on it, which may prevent full utilization of input data, especially for synthetic aperture radar images with fewer crop prior features. …”
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  10. 710

    Lineament extraction and structural mapping using Landsat-9 OLI and Sentinel-1 SAR data in the Proterozoic North Singhbhum Mobile Belt, Eastern India by Nandini Choudhury, Atin Kumar Mitra, Biswajit Nath, Mark D Lindsay

    Published 2025-08-01
    “…The present study explores the application of Landsat-9 OLI and Sentinel-1 SAR data for effective lineament extraction and structural mapping in the Proterozoic North Singhbhum Mobile Belt, Eastern India, an area characterized by complex geological and significant tectonic history. …”
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  11. 711

    [ReS4]⊖, [ReS9]⊖, [ReOS8]⊖: Simple Synthesis with Sx2⊖ Solutions, Structural Data, and 185/187Re-NMR studies by Achim Müller, Erich Krickemeyer, Hartmut Bögge, Michael Penk, Dieter Rehder

    Published 1986-02-01
    “… Simple preparation procedures for the compounds [(C2H5)4N][ReS4] and [(C6H5)4P][ReS9]0.7[ReOS8]0.3 – the latter containing new simple polysulfido complexes – together with their structural data and the 185/187Re-NMR spectra of [ReO4]⊖ and [ReS4]⊖ are reported. …”
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    Gender and age specifics of clinical status, structure-functional parameters of the heart, and their relationship with psychoemotional state of patients with chronic heart failure... by G. M. Dadashova

    Published 2016-04-01
    “…During morphofunctional parameters analysis of the heart by EchoCG data, linear and volumetric parameters were significantly higher in men. …”
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    Autoencoder-Augmented Graph Neural Networks for Accurate and Scalable Structure Recognition in Analog/Mixed-Signal Schematics by Mohamed Salem, Witesyavwirwa Vianney Kambale, Ali Deeb, Sergii Tkachov, Anjeza Karaj, Joachim Pichler, Manuel Ludwig Lexer, Kyandoghere Kyamakya

    Published 2025-01-01
    “…The increasing complexity of Analog/Mixed-Signal (AMS) schematics has been posing significant challenges in structure recognition, particularly in the intellectual property (IP) industry, where data scarcity and confidentiality constraints limit model training. …”
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    Estimation of Atmospheric Boundary Layer Turbulence Parameters over the South China Sea Based on Multi-Source Data by Ying Liu, Tao Luo, Kaixuan Yang, Hanjiu Zhang, Liming Zhu, Shiyong Shao, Shengcheng Cui, Xuebing Li, Ningquan Weng

    Published 2025-06-01
    “…This study develops an optical turbulence model for the boundary layer over the South China Sea (SCS) by integrating multiple observational and reanalysis datasets, including ERA5 data from the European Center for Medium-Range Weather Forecasts (ECMWF), radiosonde observations, coherent Doppler wind lidar (CDWL), and ultrasonic anemometer (CSAT3) measurements. …”
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