Enceladus's internal ocean and ice shell constrained from Cassini gravity, shape, and libration data by Ondřej Čadek, Gabriel Tobie, Tim Van Hoolst, Marion Massé, Gaël Choblet, Axel Lefèvre, Giuseppe Mitri, Rose‐Marie Baland, Marie Běhounková, Olivier Bourgeois, Anthony Trinh

“…Here we develop an interior structure model consisting of a rocky core, an internal ocean, and an ice shell, which satisfies simultaneously the gravity, shape, and libration data. …”
Get full text

Removing facial features from structural MRI images biases visual quality assessment. by Céline Provins, Élodie Savary, Thomas Sanchez, Emeline Mullier, Jaime Barranco, Elda Fischi-Gómez, Yasser Alemán-Gómez, Jonas Richiardi, Russell A Poldrack, Patric Hagmann, Oscar Esteban

Get full text

A Graph Neural Network-Based Context-Aware Framework for Sentiment Analysis Classification in Chinese Microblogs by Zhesheng Jin, Yunhua Zhang

“…Through this graph-based structure, complex sentence structures, particularly in Chinese, can be interpreted more effectively. …”
Get full text

Automation of the digital information workflow in the geotechnical design process by Grzegorz Kacprzak, Seweryn Bodus

“…The second part of the work describes an example showing the use of tools in the automation of the geotechnical design of the interaction between a structure and the ground using the parametric modelling technology. …”
Get full text

Using entropy maximization to understand the determinants of structural dynamics beyond native contact topology. by Timothy R Lezon, Ivet Bahar

“…Most of these studies have focused on interpreting the mean-square fluctuations of residues, or deriving the most collective, or softest, modes of motions that are known to be insensitive to structural and energetic details. …”
Get full text

A structural systems biology approach for quantifying the systemic consequences of missense mutations in proteins. by Tammy M K Cheng, Lucas Goehring, Linda Jeffery, Yu-En Lu, Jacqueline Hayles, Béla Novák, Paul A Bates

“…However, it is a non-trivial task to understand how a change at the protein structure level eventually affects a cell's behavior. …”
Get full text

Graph-based fault diagnosis for rotating machinery: Adaptive segmentation and structural feature integration by Moirangthem Tiken Singh

“…Each segment is modeled as a graph, extracting structural features such as average shortest path length, modularity, and spectral gap. …”
Get full text

Bringing Intelligence to the Edge for Structural Health Monitoring: The Case Study of the Z24 Bridge by Ali Dabbous, Riccardo Berta, Matteo Fresta, Hadi Ballout, Luca Lazzaroni, Francesco Bellotti

“…Structural health monitoring (SHM) is key in civil engineering because of the importance and the aging of the infrastructure. …”
Get full text

Ancient restorations: computer-based structural approach for the identification and reinterpretation of the Medracen’s constructive sequence by Lamia Amokrane, Tsouria Kassab, Juan Monjo-Carrio

“…This paper addresses the importance of a structural approach for identifying and interpreting building chronology, as well as for the establishment of historical stratigraphy. …”
Get full text

SIBILA: Automated Machine-Learning-Based Development of Interpretable Machine-Learning Models on High-Performance Computing Platforms by Antonio Jesús Banegas-Luna, Horacio Pérez-Sánchez

Get full text

Interpreting experimental fracture toughness results of quasi-brittle natural materials through multi-parameter approaches by Andrea Spagnoli, Andrea Carpinteri, Sabrina Vantadori

Get full text

Interpretable multi-instance heterogeneous graph network learning modelling CircRNA-drug sensitivity association prediction by Mengting Niu, Chunyu Wang, Yaojia Chen, Quan Zou, Ximei Luo

“…Conclusions MiGNN2CDS achieves better prediction accuracy than many state-of-the-art models do. Case studies show that MiGNN2CDS can effectively predict unknown associations, and the model interpretability of MiGNN2CDS is verified by high-confidence meta-path analysis. …”
Get full text

Development of an interpretable QSPR model to predict the octanol-water partition coefficient based on three artificial intelligence algorithms by Ao Yang, Shirui Sun, Lu Qi, Zong Yang Kong, Jaka Sunarso, Weifeng Shen

“…This study aims to significantly improve existing quantitative structure-property relationship (QSPR) models for predicting the octanol-water partition coefficient (KOW). …”
Get full text

Privacy-Preserving Interpretability: An Explainable Federated Learning Model for Predictive Maintenance in Sustainable Manufacturing and Industry 4.0 by Hamad Mohamed Hamdan Alzari Alshkeili, Saif Jasim Almheiri, Muhammad Adnan Khan

“…This proposed research developed a sustainable privacy-preserving Explainable FL (XFL) model that integrates XAI techniques like Shapley Additive Explanations (SHAP) and Local Interpretable Model-Agnostic Explanations (LIME) into an FL structure to improve PdM’s security and interpretability capabilities. …”
Get full text

Information Structure Representation And Extraction From A Corpus Of Patient Data, Using An Ontology by Christian Cote

“…We propose a methodology to model the information structure for its extraction from any medical text. …”
Get full text

Correlation between lithospheric magnetic anomalies and tectonic structures in the Norwegian-Greenland region of the Arctic by D. Yu. Abramova, L. M. Abramova, S. V. Filippov

“…According to our interpretation of the maps, the geomagnetic field anomalies are related to the modern large-scale geological and tectonic structures located in the studied area. …”
Get full text

Interpretation of a Digital Model of the Anomalous Magnetic Field of the Crimean Region and Adjacent Waters, Based on Retrospective Data by Khotenko Elena, Bragina Anastasia, Arutyunyan David, Shklyaruk Alexey

“…The article presents the results of work on the interpretation of a digital model of the anomalous magnetic field (AMF) of the Crimean region and adjacent waters, based on retrospective data. …”
Get full text

Development and Clinical Interpretation of an Explainable AI Model for Predicting Patient Pathways in the Emergency Department: A Retrospective Study by Émilien Arnaud, Pedro Antonio Moreno-Sanchez, Mahmoud Elbattah, Christine Ammirati, Mark van Gils, Gilles Dequen, Daniel Aiham Ghazali

Get full text

A new analytical model for process-microstructure-hardness relationships of directed energy deposited nickel alloys by Jiale Wang, Bo Yin, Kai Qin, Haohao Miao, Yu Yin, Petro Pavlenko, Yuefeng Yuan, Jinbao Wang, David Henry StJohn, Zhao Zhang, Hao Yi

“…Developing a Process-Structure-Properties (P–S–P) integrated model for directed energy deposition (DED) is essential for optimizing microstructures and enhancing material properties. …”
Get full text

The Lithosphere‐Asthenosphere System Beneath the North Atlantic and Surroundings: Results From Multi‐Observable Probabilistic Inversions by Farshad Salajegheh, Juan Carlos Afonso, Alexander Minakov, Parviz Ajourlou, Carmen Gaina, Olga Ortega‐Gelabert

“…We validate our results with independent thermobarometric and chemical information from mantle xenoliths and test the effects of using different seismic models on the inversion results. Our model reveals an intricate sublithospheric flow system, driven by the interaction of deep upwellings with the highly irregular lithospheric structure. …”
Get full text