DEEP STRUCTURE AND FORMATION MODEL OF CONTINENTAL CRUST OF THE VERKHOYANSK FOLD- AND-THRUST BELT IN THE LATE MESOZOIC by L. V. Kungurtsev, E. Y. Goshko

“…Zoning of geopotential fields and the authors' interpretation of frequency-energetic characteristics along the 3-DV reference geo-physical profile provided the basis for modeling the deep structure of the VFTB and adjacent structures of the Siberian craton. …”
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Topology-Aware Neutrosophic Graph Structures for Modeling Innovation Performance of Agricultural Technology Enterprises in the Digital Economy Era by Xianzhang Meng, Yuhao Lu

“…To address this challenge, this study presents a novel mathematical framework, topology-aware neutrosophic graphs, that integrates neutrosophic graph theories with domain-specific topological constraints for modeling enterprise connectivity. Our key contributions include: 1) providing formal definition of topology-aware neutrosophic graphs theory that integrate neutrosophic uncertainty with structural constraints; 2) presenting customized operations and analytical tools for exploring graph properties under topological constraints; and 3) demonstrating through a detailed case study how our framework reduces uncertainty and improves interpretability compared to custom approaches. …”
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A Structured Data Model for Asset Health Index Integration in Digital Twins of Energy Converters by Juan F. Gómez Fernández, Eduardo Candón Fernández, Adolfo Crespo Márquez

“…First, the proposed AHI methodology is introduced, and after a structured data model specifically designed, orientated to a basic and economic cloud implementation architecture. …”
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The Part of the Whole: Analysis of the Relationship between the European Cultural Model, the „Sentiment of Being”, and the Structures of Language by Bilba Corneliu

“…Thus, according to Noica, the ancient monotheistic culture, for instance, was structured by the fundamental fact that the „exception confirms the rule.” …”
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Semantic processing of argument structure during naturalistic story listening: Evidence from computational modeling on fMRI by Tianze Xu, Jixing Li, Xiaoming Jiang

“…To investigate whether argument structure processing is primarily influenced by syntactic structure or semantic properties, this study employed integrative neurocomputational modeling to link brain functions with explicitly defined computational models. …”
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XUE: Thermochemical Modeling Suggests a Compact and Gas-depleted Structure for a Distant, Irradiated Protoplanetary Disk by Bayron Portilla-Revelo, Konstantin V. Getman, María Claudia Ramírez-Tannus, Thomas J. Haworth, Rens Waters, Arjan Bik, Eric D. Feigelson, Inga Kamp, Sierk E. van Terwisga, Jenny Frediani, Thomas Henning, Andrew J. Winter, Veronica Roccatagliata, Thomas Preibisch, E. Sabbi, Peter Zeidler, Michael A. Kuhn

“…Unveiling the physical structure of protoplanetary disks is crucial for interpreting the diversity of the exoplanet population. …”
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Covariate-adjusted functional data analysis for structural health monitoring by Philipp Wittenberg, Lizzie Neumann, Alexander Mendler, Jan Gertheiss

“…It combines highly flexible yet interpretable semi-parametric modeling with functional principal component analysis and uses the corresponding out-of-sample Phase-II scores for monitoring. …”
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Information support for geomechanical calculations of stability of the undermined rock mass with a complex tectonic structure by Baryakh Aleksandr, Dyakonov Maksim, Lobanov Sergej, Nikiforova Anastasiya Igorevna, Sanfirov Igor' Aleksandrovich

“…As part of the meaningful interpretation, the physical and geological model was transformed into a geomechanical calculation scheme, which reflected the main mining-geological and mining-technical condition of development and was based on a model of elastoplastic deformation of salt rocks. …”
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Advanced predictive modeling of shear strength in stainless-steel column web panels using explainable AI insights by Sina Sarfarazi, Rabee Shamass, Federico Guarracino, Ida Mascolo, Mariano Modano

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Building molecular model series from heterogeneous CryoEM structures using Gaussian mixture models and deep neural networks by Muyuan Chen

“…However, building molecular models with good stereochemical geometry from those structures can be challenging and time-consuming, especially when many structures are obtained from datasets with conformational heterogeneity. …”
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Using Large Language Models for the Interpretation of Building Regulations by Stefan Fuchs, Michael Witbrock, Johannes Dimyadi, Robert Amor

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An AIoT Architecture for Structural Testing: Application to a Real Aerospace Component (Embraer E2 Model Aircraft Flag Track) by Pablo Venegas, Unai Virto, Isidro Calvo, Oscar Barambones

“…This study presents one AIoT architecture aimed at structurally testing aeronautical applications that ease the integration of AI techniques to interpret the data obtained by wireless IoT devices. …”
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Modeling Navigator Awareness of COLREGs Interpretation Using Probabilistic Curve Fitting by Deuk-Jin Park, Hong-Tae Kim, Sang-A Park, Tae-Yeon Kim, Jeong-Bin Yim

“…Borderline encounter situations—such as those between head-on and crossing, or overtaking and crossing—pose particular challenges, often resulting in inconsistent or ambiguous interpretations. This study models navigator awareness as a probabilistic function of encounter angle, aiming to identify interpretive transition zones and cognitive uncertainty in rule application. …”
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Structural controls of gold mineralisation in Birrimian structures, Western Mali: insights from magnetic data analysis by Imen Hamdi Nasr, Adama Youssouf Koné, Wajdi Belkhiria, Adnen Amiri, Aboubacar Denon, Souleymane Sangaré, Mohamed Hedi Inoubli, Saïdou Ly

“…This study is devoted to a subsurface structural model based on suitable applications on the reduced to pole aeromagnetic anomaly map of the Kossanto area. …”
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Interpretable machine learning excavates a low-alloyed magnesium alloy with strength-ductility synergy based on data augmentation and reconstruction by Qinghang Wang, Xu Qin, Shouxin Xia, Li Wang, Weiqi Wang, Weiying Huang, Yan Song, Weineng Tang, Daolun Chen

“…The data reconstruction method reorganizes and transforms the original data to extract more representative features, significantly improving the model's generalization ability and prediction accuracy, with a coefficient of determination (R2) of 95.9 % for the ultimate tensile strength (UTS) model and a R2 of 95.3 % for the elongation-to-failure (EL) model. …”
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Implementation of multiple interpretation data model concepts in CIDOC CRM and compatible models by Muriel Van Ruymbeke, Pierre Hallot, Gilles-Antoine Nys, Roland Billen

“…It  focuses  on  multiple  interpretations and sequential reality, this last being a concept which does not exist in CIDOC CRM but was originally developed in another conceptual model, the Multiple Interpretation Data Model (MIDM). …”
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Structural bioinformatics for rational drug design by Soroush Mozaffari, Agnethe Moen, Che Yee Ng, Gerry A.F. Nicolaes, Kanin Wichapong

“…Key techniques, including structure- and ligand-based virtual screening, molecular dynamics simulations, and artificial intelligence–driven models are allowing researchers to explore vast chemical spaces, investigate molecular interactions, predict binding affinity, and optimize drug candidates with unprecedented accuracy and efficiency. …”
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The Internal Structure and Dynamics of Jupiter Unveiled by a High‐Resolution Magnetic Field and Secular Variation Model by S. Sharan, B. Langlais, H. Amit, E. Thébault, M. Pinceloup, O. Verhoeven

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Study of bifurcations, chaotic structures with sensitivity analysis and novel soliton solutions of non-linear dynamical model by Awatif Muflih Alqahtani, Sonia Akram, Moataz Alosaimi

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Fine-tuning of language models for automated structuring of medical exam reports to improve patient screening and analysis by Luis B. Elvas, Rafaela Santos, João C. Ferreira

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