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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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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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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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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Measurement Technique and Result Analysis of Helicopter Rotor Blade Structural Vibration Load by Honglin Zhang, Zefeng Wang, Pinqi Xia

“…The measurement of helicopter rotor blade structural load amid flight has always been the difficulty in flight test. …”
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Cross-dataset evaluation of deep learning models for crack classification in structural surfaces by Rashid Taha, Mokji Musa Mohd, Rasheed Mohammed

“…Crack classification in structural surfaces is critical for ensuring the safety and longevity of civil infrastructure. …”
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Structural and Dynamic Analysis of the Human Capital Health Component of the Socio-Economic System by K. Ketova, D. D. Vavilova

“…A numerical analysis of the structure and dynamics of the state of health of the population is carried out on the example of the Udmurt Republic, using primary modern data reflected in the system of state statistical accounting for the period 2000-2018.Results. …”
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THE MULTILEVEL EDUCATIONAL COMPLEX AS A FACTOR IN THE STABILIZATION OF THE LABOR MARKET AND STRUCTURAL BALANCE by Aleksandr S. Senin, Elena A. Bubenok

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Advances in macromolecular crystallography at the Photon Factory: automation from crystallization to structural determination by Naohiro Matsugaki, Toshiya Senda

“…The crystallization plate prepared by PXS2 can be mounted directly onto an in situ data-acquisition system at BL-17A. These technologies have transformed experimental workflows, enabling high-throughput structure determination and supporting drug discovery. …”
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Mechanics-informed autoencoder enables automated detection and localization of unforeseen structural damage by Xuyang Li, Hamed Bolandi, Mahdi Masmoudi, Talal Salem, Ankush Jha, Nizar Lajnef, Vishnu Naresh Boddeti

“…We present a novel “deploy-and-forget” approach for automated detection and localization of damage in structures. It is a synergistic integration of entirely passive measurements from inexpensive sensors, data compression, and a mechanics-informed autoencoder. …”
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Investigating Contributing Factors on Aggressive Driving Based on a Structural Equation Model by Wenxiang Xu, Junhua Wang, Ting Fu, Anae Sobhani, Matin Nabavi Niaki

“…Considering this situation, this paper constructed a model based on a structural equation model (SEM) and factor analysis (FA), which is a multivariate statistical analysis technique used to analyze structural relationships. …”
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Seismic vulnerability of non-structural members in reinforced concrete buildings located in Tehran by Aliasghar Amir Kardoust, Seyyed Azim Hosseini, Hamidreza Rabeifard, Seyyed Mohammad Seyyed Hosseini, Abbas Akbarpour NickghalbRashti

“…Some researchers have studied the seismic reliability of bridge structures using field data. However, in Iran, real field data is not used to analyze the reliability of RC buildings. …”
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Multi-channel learning for integrating structural hierarchies into context-dependent molecular representation by Yue Wan, Jialu Wu, Tingjun Hou, Chang-Yu Hsieh, Xiaowei Jia

“…They also struggle to learn the subtle variations in structure-activity relationship. This paper introduces a multi-channel pre-training framework that learns robust and generalizable chemical knowledge. …”
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Improved enzyme functional annotation prediction using contrastive learning with structural inference by Yuxin Yang, Abby Jerger, Song Feng, Zixu Wang, Christina Brasfield, Margaret S. Cheung, Jeremy Zucker, Qiang Guan

“…However, the majority of these methods have primarily focused on either amino acid sequence data or protein structure data, neglecting the potential synergy of combining both modalities. …”
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A flexible way to study composites in ecology using structural equation modeling by Xi Yu, Florian Schuberth, Jörg Henseler

“…In practice, however, researchers relying on the common approaches to study composites encounter limitations in flexibly specifying composites with structural equation modeling (SEM). To enrich the researchers’ statistical toolbox and to flexibly model composites in structural equation models, we introduce the Henseler–Ogasawara (H–O) specification to the field of ecology. …”
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Evaluation of the seafloor structural setting of Alamein New City offshore area, Egypt by Amr Z. Hamouda, Mohamed M. Gobashy, Khaled S. Soliman, Mohamed A. Nassar, Suzan M. El-Gharabawy

“…The study of the offshore extension is important to define the morpho-sedimentary seafloor features and evaluate the structure of the seafloor, sand resources, and the quantities of sediments that are responsible for beach renourishment. …”
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Genomic structural equation modeling elucidates the shared genetic architecture of allergic disorders by Jingsheng Ruan, Xinglin Yi

“…Methods Our study employed genomic structural equation modeling (Genomic SEM) to define the common factor representing the shared genetic architecture of allergic disorders. …”
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A Theoretical Study of Structural, Electronic, and Vibration Properties of Acetylcholine Chloride and Bromide by Kirill A. Gordienko, Aleksei B. Gordienko, Yurii N. Zhuravlev

“…The purpose of the study was to define the structural parameters and basic electronic and vibration characteristics of crystal acetylcholine halides (ACh-Hal). …”
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