Documentary fluxes study and elaboration of information selection techniques and representation as the basis of efficiency rise of problem-oriented data bases generation and use by N. V. Peregoedova, V. V. Rykova, N. A. Balutkina, E. I. Luk’yanova, L. A. Mandrinina, E. Y. Shevtsova, O. B. Markova, V. A. Mamontova

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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

“…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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Visualizing leadership classifications in rectangular data using a basket model and co-word network analysis: a case study of U.S. HCAHPS survey results by Tsair-Wei Chien, Willy Chou

Subjects: “…Leadership structure classification…”
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Analysis of the capabilities of an information system for improving sleep quality based on biometric data analysis by M.S. Graf, A.V. Yakoniuk, D.V. Krant, I.I. Golovach

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Remote Inspection of Bridges with the Integration of Scanning Total Station and Unmanned Aerial Vehicle Data by Piotr Olaszek, Edgar Maciejewski, Anna Rakoczy, Rafael Cabral, Ricardo Santos, Diogo Ribeiro

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Complex processing geophysical survey and selection of methods for detailing the geological structure of mega-reservoirs (Hayan block, of the Palmyride fold belt) by V. L. Schuster, O. V. Tyukavkina, I. Kartal

“…The processed materials made it possible to select the most effective GWD combination for identifying the boundaries and fringe zones of sediments in the Kurrachine-Dolomite formation, considered as a mega reservoir, and to identify priority development objects similar in geological structure and reservoir properties.Conclusion. The proposed method for processing field geophysical materials (construction of correlation matrices and statistical processing of geological and field data) can be used in selecting an optimal combination of GWD for establishing the reservoir boundaries of the Kurrachine-Dolomite formation, quantifying the reservoir properties, and increasing the efficiency of the Jihar field development (mega reservoir of the Hayan block).…”
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The Application of Controlled-Source Audio-Frequency Magnetotellurics Numerical Simulations in the Exploration and Electrical Structure Interpretation of the Jinding Lead–Zinc Depo... by Lincheng Zhang, Jingtian Tang, Jiayong Lin, Xiao Xiao

“…Addressing this gap, a new exploration model was proposed based on the Jinding lead–zinc mining area, which was integrated as follows: geophysical model–numerical simulation–exploration method selection–field experiments–electrical structure. Firstly, based on geological models and rock–ore resistivity data, a three-dimensional geophysical electrical model of the mining area was constructed for the first time. …”
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Corrosion resistance prediction of high-entropy alloys: framework and knowledge graph-driven method integrating composition, processing, and crystal structure by Guangxuan Song, Dongmei Fu, Yongjie Lin, Lingwei Ma, Dawei Zhang

“…Abstract The prediction of corrosion resistance in High-entropy alloys (HEAs) faces challenges due to previous machine learning methods not fully capturing the interdependencies between composition, processing, and crystal structure. This study proposes the Composition and Processing-Driven Two-Stage Corrosion Prediction Framework with Structural Prediction (CPSP Framework), which first predicts crystal structure and then combines composition and processing data for corrosion current prediction. …”
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Anomaly Detection Over Multi-Relational Graphs Using Graph Structure Learning and Multi-Scale Meta-Path Graph Aggregation by Chi Zhang, Junho Jeong, Jin-Woo Jung

“…Graph Neural Networks (GNNs) have recently achieved remarkable success in various learning tasks involving graph-structured data. However, their application to multi-relational graph anomaly detection problems on real-world datasets presents several challenges that significantly hinder performance: the structural noise and inconsistencies inherent in real-world graph data, difficulties in aggregating information across multiple relation types, and the imbalanced class labels. …”
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Sociological Analysis of Transformations in the Family Structure in Iran over the Past Five Decades (1966-2016) and Prediction of Its Future Trends by Mohammad Taghi Sabzehei, Milad Bagi, Mohammad Mobaraki, Javad Afsharkohan

“…The research was structured around several key dimensions: family size, household composition, divorce rates, marriage patterns, and socioeconomic indicators, particularly focusing on women's roles.The quantitative data included census data and fertility and divorce rates. …”
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Structural and functional analyses of SARS-CoV-2 Nsp3 and its specific interactions with the 5’ UTR of the viral genome by Sofia Lemak, Tatiana Skarina, Deepak T. Patel, Peter J. Stogios, Alexei Savchenko

“…We have incomplete data on Nsp3 molecular structure, and here, we describe crystal structures for multiple domains of Nsp3. …”
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A novel superframe structure and optimal time slot allocation algorithm for IEEE 802.15.4–based Internet of things by Sangrez Khan, Ahmad Naseem Alvi, Mohammad Zubair Khan, Muhammad Awais Javed, Omar H Alhazmi, Safdar Hussain Bouk

“…In this work, a novel superframe structure is proposed that significantly reduces guaranteed time slots allocation delay for the nodes with data requests. …”
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New Geological and Structural Facts under the Lateritic Cover in Garga Sarali, Ndokayo (East Cameroon) Area, from Audiomagnetotellurics Soundings by Pepogo Man-mvele Augustin Didier, Ndougsa-Mbarga Théophile, Meying Arsène, Ngoh Jean Daniel, Mvondo-Ondoua Joseph, Ngoumou Paul Claude

“…New geological and structural facts have been identified under the auriferous lateritic cover in Garga Sarali, Ndokayo area. …”
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Automatic Non-Urban Road Surface Point Extraction Based on Geometric Features Using Neural Networks and Raster Structure Approach by M. Dowajy, M. Fawzy, M. Fawzy, A. Barsi, T. Lovas

“…The rasterized values serve as structured inputs for a feature-based Neural Network (NN), which classifies road pixels based on intensity, density, curvature, planarity, roughness, surface variation, and verticality properties. …”
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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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The Characteristics of Runoff Process Structure Changes under the Influence of Climate Change and Human Activities and the Decomposition of Contribution Rate of Impact Factors by Xiaoyuan Song, Zhongyuan Zhu, XiaoKang Xi, Guibin Zhang, Hailong Wang

“…The research of the runoff structure and its influencing factors in the Xilinhe River Basin not only provides indispensable basic data for the economic development, but also has long-term significance for the protection of grasslands. …”
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Capturing Global Structural Features and Global Temporal Dependencies in Dynamic Social Networks Using Graph Convolutional Networks for Enhanced Analysis by Ling Wu, Boen Li, Kun Guo, Qishan Zhang

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Reconstructing the Three-Dimensional Thermohaline Structure of Mesoscale Eddies in the South China Sea Using In Situ Measurements and Multi-Sensor Satellites by Zhiyuan Zhuang, Yanwei Zhang, Liuzhenyi Zhang, Weihan Ruan, Danni Lyu, Jiancheng Yu

“…The distinctive capabilities provide valuable insights into understanding the fine-scale structures of mesoscale eddies, especially in regions with limited in situ data.…”
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DISTRIBUTION, SEX, SIZE AND MORPHOMETRIC STRUCTURE OF THE EUROPEAN COMMON SPADEFOOT TOAD (PELOBATES FUSCUS LAURENTI, 1768) IN THE AREA OF THE ZLATIYA PLATEAU by Yanitsa Ivanova, Teodora Teofilova, Nikolay Kodzhabashev

“…The results were analysed and commented in a comparative aspect with similar studies in other parts of the geographic range of the species. Morfometric data, in combination with the sex and size structure of the population, were indicative of its status and its trends, which was of great importance in determining the conservation significance and the favourable conservation status of the species. …”
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EgoCor: An R Package to Facilitate the Use of Exponential Semi-Variograms for Modelling the Local Spatial Correlation Structure in Social Epidemiology by Julia Dyck, Jan-Ole Koslik, Odile Sauzet

“…For the evaluation of small-area health inequalities, Sauzet et al. suggested to take an ego-centred approach and model the spatial correlation structure of health outcomes at the individual level. …”
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