From dairy to plant products: Understanding their structural fingerprints with X-rays by Eleonora Olsmats, Adrian R. Rennie

“…The study provides a basis for understanding scattering data where structural fingerprint plots, using colour scales to compare intensity and intensity gradient, allow ready data interpretation that will be beneficial for analysis with artificial intelligence (AI) tools. …”
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A Classical and Bayesian Approach for Parameter Estimation in Structural Equation Models by Naci Murat, Mehmet Ali Cengiz

“…Structural Equation Models (SEMs) with latent variables provide a general framework for modelling relationships in multivariate data. …”
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Structural Design and Kinematics Analysis of an Adjustable Swing Foot Rehabilitation Robot by Chen Peng, Ligang Yao

“…The kinematics simulation of virtual prototype is carried out by using SolidWorks software， and the comparison between the theoretical data and the simulation data of transmission ratio confirms the accuracy of theoretical analysis and safety of mechanism design. …”
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Structural Analysis Ready Building Information Modelling: A Requirement Analysis by M. Akhoundi Khezrabad, D. Shojaei, M. Tomko

“…Structural analysis is utilised to evaluate the behaviour of structures under applied loads to ensure their safety and stability. …”
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Deep learning for multi-modal data fusion in IoT applications by Anila Saghir, Anum Akbar, Asma Zafar, Asif Hassan

“…This sensor-based data is categorized as either structured or unstructured data. …”
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Application of Structural Deformation Monitoring Based on Close-Range Photogrammetry Technology by Jun Hu, Ensheng Liu, Jiayu Yu

“…Based on using close-range photogrammetry technology to monitor structural deformation, combining with image recognition technology to collect and process image data, and using the conditions of direct linear transformation and collinear equation to calculate based on the extracted coordinates of the measuring point, finally, according to the coordinates of the measuring point and the deflection value of the bridge structure, the study is carried out. …”
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ROCK FRACTURES NEAR FAULTS: SPECIFIC FEATURES OF STRUCTURAL‐PARAGENETIC ANALYSIS by Yu. P. Burzunova

“…We collect and analyse the data on tectonic fractures identified from a number of indicators, the main of which are the geometric structure of the (systematic or chaotic) fracture system, and shear type of fractures. …”
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Genetic networks controlling structural outcome of glucosinolate activation across development. by Adam M Wentzell, Ian Boeye, Zhiyong Zhang, Daniel J Kliebenstein

“…A comparison of transcript accumulation data within 211 of these RILs showed an extensive overlap of gene expression QTLs for structural specifiers and their homologs with the identified glucosinolate activation loci. …”
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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

“…This study reviews 245 articles that utilize SEM in landscape performance research, analyzing publication trends, research dimensions, methodologies, and data sources. The results indicate that SEM-based studies are predominantly focused on cognitive environmental performance based on subjective evaluation data. …”
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Personal Data Recognition Using a Deep Learning Model by Nikita Babak

“…Additionally, the feasibility of using the Large Language Model for personal data recognition was explored. The research culminated in the development of a personal data recognition method that combines Artificial Intelligence language model with rule-based algorithms, capable of identifying personal data in structured and unstructured information. …”
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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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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

“…Many existing methods for crack detection rely on deep learning algorithms or traditional approaches that typically use image data. In this study, however, we explore an innovative approach based on numerical data, which is characterized by greater cost efficiency and offers intriguing research implications. …”
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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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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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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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Myopia and age-related macular degeneration: structural and anatomical changes of the eye by I. B. Alekseev, Ju. A. Nam

“…The former included the patients’ age, best corrected visual acuity (BCVA), computer perimetry data, the axial length, and the thickness of the retina in the central zone. …”
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