Spearman Rank Correlation PCA for Mixed Scale Indicator in Structural Equation Modeling by Lisa Asaliontin, Eni Sumarminingsih, Solimun Solimun, Mohammad Ohid Ullah

“…Structural Equation Modeling (SEM) is a statistical modeling technique that integrates measurement models and structural models simultaneously. …”
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Durability Test and Service Life Prediction Methods for Silicone Structural Glazing Sealant by Bo Yang, Junjin Liu, Jianhui Li, Chao Wang, Zhiyuan Wang

“…Silicone structural glazing (SSG) sealants are crucial sealing materials in modern building curtain walls, whose performance degradation may lead to functional and safety issues, posing significant challenges to building safety maintenance. …”
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Research on Structure and Characteristics of Gear System of Crossflow in Flow Domain of Reactor Core by CHEN Guangliang, ZHANG Hanqi, TAO Wenquan

“…However, in traditional research, the states of flow resistance, thermal resistance, flow mixing and other states are measured by the macroscopic integration of lines, surfaces and volumes, and the fine data of tens of millions or hundreds of millions of computing grids are mostly converted into hundreds or thousands of sets of average data, the physical state is reduced from three-dimensional to two-dimensional or one-dimensional state, and the spatial resolution is reduced from submillimeter to decimeter or lower, and the fine data cannot be effectively and fully utilized. …”

Co-methylation networks associated with cognition and structural brain development during adolescence by Dawn Jensen, Dawn Jensen, Jiayu Chen, Jiayu Chen, Jessica A. Turner, Julia M. Stephen, Yu-Ping Wang, Tony W. Wilson, Vince D. Calhoun, Vince D. Calhoun, Vince D. Calhoun, Vince D. Calhoun, Vince D. Calhoun, Jingyu Liu, Jingyu Liu, Jingyu Liu

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Analysis and selection of the structure of a multiprocessor computing system according to the performance criterion by G. V. Petushkov, A. S. Sigov

“…Analysis of the various architectures of computing systems (CSs) used in recent decades has allowed us to identify the most common structures. One of the key features is the use of mass-produced equipment to create data processing subsystems (for example, multicore processors and high-capacity semiconductor memory), as well as network equipment to build communication subsystems. …”
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STRUCTURAL EQUATION MODELING MULTIGROUP INDIRECT EFFECTS ON BANK MORTGAGE PAYMENT TIMELINESS by Ulfah Maisaroh, Adji Achmad Rinaldo Fernandes, Atiek Iriany

“…Structural Equation Modeling (SEM) is a multivariate statistical method that is used to thoroughly explain the relationship between latent variables simultaneously. …”
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Limitations of risk-based artificial intelligence regulation: a structuration theory approach by Lily Ballot Jones, Julia Thornton, Daswin De Silva

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An Agglomerative Clustering Combined with an Unsupervised Feature Selection Approach for Structural Health Monitoring by Tales Boratto, Heder Soares Bernardino, Alex Borges Vieira, Tiago Silveira Gontijo, Matteo Bodini, Dmitriy A. Martyushev, Camila Martins Saporetti, Alexandre Cury, Flávio Barbosa, Leonardo Goliatt

“…Structural health monitoring (SHM) is critical for ensuring the safety and longevity of structures, yet existing methodologies often face challenges such as high data dimensionality, lack of interpretability, and reliance on extensive label datasets. …”
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Structural and functional insights into the pilotin-secretin complex of the type II secretion system. by Shuang Gu, Saima Rehman, Xiaohui Wang, Vladimir E Shevchik, Richard W Pickersgill

“…Gram-negative bacteria secrete virulence factors and assemble fibre structures on their cell surface using specialized secretion systems. …”
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Structural Analysis of Farming Systems in Western Macedonia: A Cluster-Based Approach by Theodoros Siogkas, Katerina Melfou, Georgia Koutouzidou, Efstratios Loizou, Athanasios Ragkos

“…Agriculture remains a vital pillar of the regional economy, particularly in the context of RWM’s ongoing transition to a post-lignite development model. Using farm-level data from the 2018 Farm Accountancy Data Network (FADN), Principal Component Analysis (PCA) identified four latent dimensions of farm heterogeneity—income and productivity, asset base, land size, and labour structure. …”
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Legal culture in contemporary Serbia: Structural analysis of attitudes towards the rule of law by Vuković Danilo, Cvejić Slobodan

“…The article analyzes the support for the rule of law among Serbian citizens. The research data show that support for the rule of law depends on the structural socio-economic position of respondents and their position on the transition winners and losers scale i.e., the level of fulfillment of their interests in the new system. …”
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On the Variability of Neural Network Classification Measures in the Protein Secondary Structure Prediction Problem by Eric Sakk, Ayanna Alexander

“…In this context, neural network mappings are constructed between protein training set sequences and their assigned structure classes in order to analyze the class membership of test data and associated measures of significance. …”
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Effects of Economic Policy Uncertainty on Manufacturing Structural Upgrading: Evidence from China by Renjing Hu, Yanyang Yan

“…Based on firm-level and province-level panel data from 1997 to 2018, this paper used a fixed effect panel data model and panel quantile regression model to investigate the effect of economic policy uncertainty on structural upgrading in manufacturing. …”
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Exploring the evolution of novel enzyme functions within structurally defined protein superfamilies. by Nicholas Furnham, Ian Sillitoe, Gemma L Holliday, Alison L Cuff, Roman A Laskowski, Christine A Orengo, Janet M Thornton

“…In order to understand the evolution of enzyme reactions and to gain an overview of biological catalysis we have combined sequence and structural data to generate phylogenetic trees in an analysis of 276 structurally defined enzyme superfamilies, and used these to study how enzyme functions have evolved. …”
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HERGAI: an artificial intelligence tool for structure-based prediction of hERG inhibitors by Viet-Khoa Tran-Nguyen, Ulrick Fineddie Randriharimanamizara, Olivier Taboureau

“…This model, named “HERGAI,” along with relevant input/output data and user-friendly source code, is available in our GitHub repository ( https://github.com/vktrannguyen/HERGAI ) and can be used to predict drug-induced hERG blockade, even on large data sets.…”
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Unsupervised Structural Damage Detection Technique Based on a Deep Convolutional Autoencoder by Zahra Rastin, Gholamreza Ghodrati Amiri, Ehsan Darvishan

“…As it is not usually possible to collect data from damaged states of a large civil structure, using such algorithms for these structures may be impractical. …”
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AI-Driven Optimization of Breakwater Design: Predicting Wave Reflection and Structural Dimensions by Mohammed Loukili, Soufiane El Moumni, Kamila Kotrasova

“…Coastal defense structures play a crucial role in mitigating wave impacts; yet, existing breakwater designs often face challenges in balancing wave reflection, energy dissipation, and structural stability. …”
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The Music of Rivers: The Mathematics of Waves Reveals Global Structure and Drivers of Streamflow Regime by Brian C. Brown, Aimee H. Fullerton, Darin Kopp, Flavia Tromboni, Arial J. Shogren, J. Angus Webb, Claire Ruffing, Matthew Heaton, Lenka Kuglerová, Daniel C. Allen, Lillian McGill, Jay P. Zarnetske, Matt R. Whiles, Jeremy B. Jones Jr., Benjamin W. Abbott

“…Across all these methods, the flow data showed low‐dimensional structure (i.e., simple and consistent patterns), suggesting that fundamental mechanisms are constraining flow regime. …”
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STRUCTURE OF PERIODONTAL TISSUE DISEASES IN WORKERS OF AGRICULTURAL PRODUCTION IN THE OPEN AND COVERED SOIL by V.T. Dyryk

“…Thus, as a result of the analysis of structure of periodontal disease depending on experience, in working in the conditions of contact with pesticides, on the closed soil investigated: • it is lower frequency of occurrence of intact periodontium all analtube intervals than in working of open soil and not contacting with pesticides; • it is lower frequency of occurrence of the initial forms of the inflammation of periodontal tissues (2,2 times) relatively to the obtained data in persons of the main group and the comparison group (1.3 times); • it is lower the incidence of primary generalized forms of periodontitis in relation to data of the comparison group (1.4 times) for the same number examined, compared with the values of the core group; • large frequency of occurrence of advanced forms of generalized periodontitis: in 1.6 times more than obtained data in the main group and in 3.3 times more than obtained data in the comparison group. …”
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A Damage Classification Approach for Structural Health Monitoring Using Machine Learning by Diego Tibaduiza, Miguel Ángel Torres-Arredondo, Jaime Vitola, Maribel Anaya, Francesc Pozo

“…Inspection strategies with guided wave-based approaches give to structural health monitoring (SHM) applications several advantages, among them, the possibility of the use of real data from the structure which enables continuous monitoring and online damage identification. …”
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