Acute Issues of Cognitive Modeling of Semi-Structured and Poorly Formalized Systems by A. A. Mikryukov, M. E. Mazurov, D. A. Suzdalsky, K. E. Chikunov

“…The article studies specific features of mathematic tools of cognitive modeling meant to resolve tasks of analyzing functioning and forecasting the development of semi-structured and poorly formalized systems. Semi-structured systems are complicated dynamic systems, where human factor plays an important role. …”
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Structural Equation Model in Landscape Performance Research: Dimensions, Methodologies, and Recommendations by Xiao Han, Zhe Li, Haini Chen, Mengyao Yu, Yi Shi

“…The scientific evaluation of landscape performance has become a critical focus in promoting landscape architecture and urban quality research. Structural equation modeling (SEM) is widely applied in digital assessments and performance studies, offering robust analytical capabilities. …”
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Structural equation modeling of factors influencing childhood vaccination in Saudi Arabia by Fatimah O. Hobani, Abeer K. Alharthi, Manal F. Alharbi

“…The inter-relationship in the Theory of Planned Behavior was examined based on the data collected. Structural Equation Modeling (SEM) was used to evaluate the direct relationship between the predictor variables: attitude, subjective norm, and parent perceived behavioral control, on a mediating variable: behavioral intention. …”
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Capital structure and financial sustainability: stakes of microfinance institutions in Bamenda, Cameroon by Dobdinga Cletus Fonchamnyo, Tony Anyangwe, Ndichia Nana Chantal, Gildas Dohba Dinga

“…Abstract This research assesses the effect of capital structure on the sustainability of Microfinance Institutions (MFIs) in Bamenda, Cameroon. …”
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The Relationship Between Structure Profile and Sports Performance of Elite Goalball Players by Sajad Hashemi Meymandi, Hassan Daneshmandi

“…Objective: This study aimed to investigate the relationship between Structure profile and sports performance of the elite goalball players. …”
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The First‐Order Crustal Structure and Basin Architecture of the Canadian Arctic Margin by Randell Stephenson, Goodluck Anudu

“…Abstract First‐order sedimentary isopach and depth‐to‐Moho maps have been produced for the first time along the Canadian Arctic margin from legacy seismic profiles, calibrated with two‐dimensional gravity and magnetic modeling and augmented by some younger passive seismic and exploration seismic data. These maps show margin‐scale structural patterns that can be interpreted in terms of fundamental tectonic processes of lithosphere deformation. …”
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NetBat: A network-driven harmonization method for structural connectivity by Gustav R. Sjobeck, Mahbaneh Eshaghzadeh Torbati, Davneet S. Minhas, Charles S. DeCarli, James D. Wilson, Dana L. Tudorascu

“…As the practice of aggregating multi-site neuroimaging data has become more common, the field of neuroscience has increasingly recognized the importance of harmonization , or the removal of scanner effects from brain imaging data. …”
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Hybrid neural network method for damage localization in structural health monitoring by Fatahlla Moreh, Yusuf Hasan, Zarghaam Haider Rizvi, Sven Tomforde, Frank Wuttke

“…Abstract The detection of cracks in large structures is of critical importance, as such damage can result not only in significant financial costs but also pose serious risks to public safety. …”
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TERMINOLOGY OF THE «HIGHER EDUCATION» SUBJECT AREA: SPECIFICS OF CONCEPTUAL AND CATEGORICAL STRUCTURATION by T. G. Borisova

“…The base of those methods is a comprehensive analysis of empiric data, the semantic structure of the terms studied and the thematic classification technique.Term systems are a unique means of stratification for the whole complex of scientific knowledge and its many branches, forming a distinctive cognitive continuum that preserves all known data on a given form of scientific work in symbol form.The study findings show that «Higher education» subject area terminology is represented by a unitary integrative continuum that has major stratifying capabilities and is formed by four core system-forming modules: «Educational process participants», «Methods and techniques of education», «Education tools» and «Forms of education». …”
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Epigenomic modifications predict active promoters and gene structure in Toxoplasma gondii. by Mathieu Gissot, Krystyna A Kelly, James W Ajioka, John M Greally, Kami Kim

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WHAT DRIVES CAPITAL STRUCTURE ? EVIDENCE FROM MANUFACTURING FIRMS IN INDONESIA by Mariana Ing Malelak, Myer Melvern, Nicholas Briliant Gunawan

“… This study investigates the impact of profitability, liquidity, growth opportunity, and asset tangibility on the capital structure of manufacturing firms in Indonesia. This study employs the pecking order theory to examine data from 140 manufacturing companies listed on the Indonesia Stock Exchange from 2017 to 2024. …”
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The Relationship Between Structure Profile and Sports Performance of Elite Goalball Players by Sajad Hashemi Meymandi, Hassan Daneshmandi

“…Objective: This study aimed to investigate the relationship between Structure profile and sports performance of the elite goalball players. …”
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Transformer-based structural connectivity networks for ADHD-related connectivity alterations by Liting Shi, Lei Shi, Zhijun Cui, Chengting Lin, Rui Zhang, Jiayi Zhang, Yechen Zhu, Wei Shi, Jianlin Wang, Yanlong Wang, Dongxing Wang, Haihong Liu, Xin Gao

“…This study aims to explore whether structural connectivity networks derived from MRI can reveal alterations associated with ADHD and support data-driven understanding. …”
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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

“…The wavelet-based method effectively decomposed the DEMs into components representing structural complexity at different scales, with the reconstructed DEMs statistically equivalent to the original data source (p > 0.05). …”
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A model of structural analysis for multi-storey buildings with ETABS software by Dương Hồng Thẩm

“…This paper aims to point out a rigorous procedure of input data and to introduce the main content of structural modeling, with some necessary techniques, which in turn, the results of the analysis could be applied to reality. …”
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Initial Validation of Mobile-Structural Health Monitoring Method Using Smartphones by Yan Yu, Ruicong Han, Xuefeng Zhao, Xingquan Mao, Weitong Hu, Dong Jiao, Mingchu Li, Jinping Ou

“…The structural health monitoring system has made great development nowadays, especially on bridge structures. …”
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New spin structure constraints on hyperfine splitting and proton Zemach radius by David Ruth, Karl Slifer, Jian-Ping Chen, Carl E. Carlson, Franziska Hagelstein, Vladimir Pascalutsa, Alexandre Deur, Sebastian Kuhn, Marco Ripani, Xiaochao Zheng, Ryan Zielinski, Chao Gu

“…Here we present improved results for Δpol driven by new spin structure data, reducing the long-standing tension between theory and experiment and halving the dominating uncertainty in hyperfine splitting calculations.…”
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Intelligent Hybrid SHM-NDT Approach for Structural Assessment of Metal Components by Romaine Byfield, Ahmed Shabaka, Milton Molina Vargas, Ibrahim Tansel

“…Structural health monitoring (SHM) plays a pivotal role in ensuring the integrity and safety of critical infrastructure and mechanical components. …”
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Effect of the Organobentonite Filler on Structure and Properties of Composites Based on Hydroxyethyl Cellulose by Olga V. Alekseeva, Anna N. Rodionova, Nadezhda A. Bagrovskaya, Alexander V. Agafonov, Andrew V. Noskov

“…Hydroxyethyl cellulose (HEC) was filled with organobentonite particles by mechanical dispersion, and produced composite films were researched by the number of methods. New data relating to structure, tensile properties, and antimicrobial activity of HEC/organobentonite composites were obtained. …”
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An Unsupervised Fake News Detection Framework Based on Structural Contrastive Learning by Yajie Guo, Shujuan Ji, Xianwen Fang, Dickson K. W. Chiu, Ning Cao, Hofung Leung

“…To deal with this problem, in this paper, we propose a novel unsupervised fake news detection framework based on structural contrastive learning by combining the propagation structure of news and contrastive learning to achieve unsupervised training. …”
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