Structure and mineralization potential of the southwestern part of Sokoto Basin in Nigeria by U. Z. Magawata, U. Z. Magawata, N. K. Olasunkanmi, G. B. Egbeyale, A. Saleh

“…Structural interpretation identified faults and NE-SE trending fractures that control fluid flow. …”
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MENTAL SPACE AS A WAY OF PRESENTING AND STRUCTURING HUMAN KNOWLEDGE by Valentyna Moisiuk

“…The author raises one of the important issues of cognitive linguistics, namely the representation and structuring of knowledge that a person receives during their life and discursive activity. …”
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Structure of silent transcription intervals and noise characteristics of mammalian genes by Benjamin Zoller, Damien Nicolas, Nacho Molina, Felix Naef

“…The structure of promoter cycles is gene specific and independent of genomic location. …”
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Orbitrap noise structure and method for noise unbiased multivariate analysis by Michael R. Keenan, Gustavo F. Trindade, Alexander Pirkl, Clare L. Newell, Yuhong Jin, Konstantin Aizikov, Andreas Dannhorn, Junting Zhang, Lidija Matjačić, Henrik Arlinghaus, Anya Eyres, Rasmus Havelund, Richard J. A. Goodwin, Zoltan Takats, Josephine Bunch, Alex P. Gould, Alexander Makarov, Ian S. Gilmore

“…However, like all mass spectrometers, non-uniform (heteroscedastic) noise introduces bias in multivariate analysis complicating data interpretation. Here, we study the noise structure of an Orbitrap mass analyser integrated into a secondary ion mass spectrometer (OrbiSIMS). …”
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Crustal structure of the Ulaanbaatar region, Mongolia according to gravimetric data by B. Buyantogtokh, E. Kh. Turutanov, V. S. Kanaikin

“…Based on the medium-scale areal gravimetric survey data, a regional map of Bouguer gravity anomalies was constructed for theUlaanbaatar region, Central Mongolia.Interpreted gravimetric data from the solutions of the inverse problem of gravimetry based on the body-shape selection were used to developthe 3D models showing the largest crustal density inhomogeneities of the study area – the Tolskaya (Ulaanbaatar) basin, Nalaiha depression and Bogdoulin granite massif. …”
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AI-powered interpretable models for the abrasion resistance of steel fiber-reinforced concrete in hydraulic conditions by Muhammad Nasir Amin, Roz-Ud-Din Nassar, Siyab Ul Arifeen, Muhammad Tahir Qadir, Fahad Alsharari, Muhammad Iftikhar Faraz

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An Interpretable Model With Probabilistic Integrated Scoring for Mental Health Treatment Prediction: Design Study by Anthony Kelly, Esben Kjems Jensen, Eoin Martino Grua, Kim Mathiasen, Pepijn Van de Ven

“…The novel ML model is inherently interpretable and transparent. …”
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A Spectral Interpretable Bearing Fault Diagnosis Framework Powered by Large Language Models by Panfeng Bao, Wenjun Yi, Yue Zhu, Yufeng Shen, Haotian Peng

“…In this work, we present a novel, interpretable fault diagnosis framework that integrates spectral feature extraction with large language models (LLMs). …”
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GANs for data augmentation with stacked CNN models and XAI for interpretable maize yield prediction by Ishaan Seshukumar Pothapragada, Sujatha R

“…The combination of stacked modelling methods and model interpretability is a significant enhancement in agricultural analytics, providing actionable insights for farmers with the aim of increasing crop production. …”
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PALEOPROTEROZOIC TECTONICS AND EVOLUTIONARY MODEL OF THE ONEGA SYNCLINORIUM by S. Yu. Kolodyazhny, N. B. Kuznetsov, A. V. Poleshchuk, D. S. Zykov, E. A. Shalaeva

“…The model is based on the geological and structural data, already published and collected so far by the authors, as well as on the data concerning the OS deep structure, particularly on the interpretation of the 1-EV seismic profile and potential fields. …”
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Dynamic convolutional model based on distribution-collaboration strategy for remote sensing scene classification by Chenjun Xu, Jingqian Shu, Zhenghan Wang, Jialin Wang

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Enhanced Seismic Imaging of Complex Geological Structures Using Model-Constrained Kirchhoff Pre-Stack Depth Migration: Numerical Validation and Field Application by Lei Wang, Shengjian Wang, Lei Zhang, Xianhua Hou

“…The results highlight the method’s potential for improving seismic interpretation accuracy in complex structural settings, offering practical value for coal mine safety and resource exploration.…”
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Measuring and Modeling of P- and S-Wave Velocities on Crustal Rocks: A Key for the Interpretation of Seismic Reflection and Refraction Data by Hartmut Kern

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Leveraging advances in machine learning for the robust classification and interpretation of networks by Raima Carol Appaw, Nicholas M. Fountain-Jones, Michael A. Charleston

“…Often, simulation approaches involve selecting a suitable network generative model such as Erdös–Rényi or small-world. However, few tools are available to quantify if a particular generative model is suitable for capturing a given network structure or organization. …”
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Multiscale structural complexity assessment of coral reefs using underwater photogrammetry. by Erick Barrera-Falcón, Rodolfo Rioja-Nieto, Roberto C Hernández-Landa

“…Traditional methods commonly use a rugosity index based on the chain method, which overlooks the underlying structure of coral reefs. However, digital underwater photogrammetry allows the construction of coral structure models, which can then be used to decompose reef topography across multiple layers. …”
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SDW2vec: learning structural representations of nodes in weighted networks by Shu Liu, Masaki Chujyo, Fujio Toriumi

“…The efficacy of our methodology is validated through both the interpretability of embedding representations in controlled network environments and the structural reproducibility demonstrated in real-world networks.…”
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A structural biology compatible file format for atomic force microscopy by Yining Jiang, Zhaokun Wang, Simon Scheuring

“…Here, we build on LAFM and develop a pipeline that transforms AFM data into 3D-density files (.afm) that are readable by programs commonly used to visualize, analyze, and interpret structural data. We show that 3D-LAFM densities can serve as force fields to steer molecular dynamics flexible fitting (MDFF) to obtain structural models of previously unresolved states based on AFM observations in close-to-native environment. …”
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Inverse design of catalytic active sites via interpretable topology-based deep generative models by Bingxu Wang, Shisheng Zheng, Jie Wu, Jingyan Li, Feng Pan

“…Key challenges include achieving refined representations of the three-dimensional structure of active sites and imbuing models with robust physical interpretability. …”
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Strength-agility and fine motor are differently associated with non-verbal intelligence in dependency to sex and age in school children: Structural equation modelling multigroup ap... by Martin Musálek, Chipo Malambo, Jan Chrudimský, Jakub Kokštejn, Radka Bačáková, Šárka Vokounová

“…We conducted multigroup structural modelling with non-verbal Intelligence as a dependent latent variable. …”
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Direct observation of V-trimers in the crystal structure of LiVO2 by S. Yun, C.-F. Chang, S.-H. Chen, C.-Y. Kuo, L. H. Tjeng, A. C. Komarek

“…The availability of the crystal structure data forms a starting point for the quantitative modeling of the trimerization phenomenon in this complex Mott insulator.…”
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