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unstructures » structures (Expand Search)
structured » structures (Expand Search), structural (Expand Search)
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structured » structures (Expand Search), structural (Expand Search)
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1701
Examination of Fourth-Grade Students’ Mental Structures Regarding Natural Disasters
Published 2023-12-01“…Mind maps and semi-structured interview forms were used as data collection tools. …”
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1702
New spin structure constraints on hyperfine splitting and proton Zemach radius
Published 2024-12-01“…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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1703
Research on the Application of Deep Learning Algorithm in the Damage Detection of Steel Structures
Published 2025-01-01“…Transfer learning strategies were successfully implemented to adapt the model to different structural contexts, addressing the challenge of limited labeled data. …”
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1704
Intelligent Hybrid SHM-NDT Approach for Structural Assessment of Metal Components
Published 2025-07-01“…Structural health monitoring (SHM) plays a pivotal role in ensuring the integrity and safety of critical infrastructure and mechanical components. …”
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1705
Effect of the Organobentonite Filler on Structure and Properties of Composites Based on Hydroxyethyl Cellulose
Published 2017-01-01“…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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1706
An Unsupervised Fake News Detection Framework Based on Structural Contrastive Learning
Published 2025-06-01“…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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1707
Myopia and age-related macular degeneration: structural and anatomical changes of the eye
Published 2019-08-01“…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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1708
Protein structural domain-disease association prediction based on heterogeneous networks
Published 2025-04-01“…Abstract Background Domains can be viewed as portable units of protein structure, folding, function, evolution, and design. …”
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1709
Les déplacements domicile-travail structurent-ils encore les territoires ?
Published 2017-12-01Get full text
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1710
THE UTILIZATION STRUCTURE OF THERMAL WATER WELLS AND ITS UNEXPLOITED CAPACITIES IN HUNGARY
Published 2014-12-01“…The calculations performed for the evaluation of data have been based on the ratios and respective utilization areas of the existing wells. …”
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1711
ETIOPATHOGENETIC APPROACH TO MANAGING PATIENTS WITH ACUTE INFLAMMATION OF THE MIDDLE EAR STRUCTURES
Published 2018-07-01“…When prescribing the treatment of patients with acute mastoiditis, it is necessary to take into account, in addition to clinical signs of disease, the data of cone-beam CT, the presence of atticoantral connection, which probably depends on the anatomical features of the structure of the middle ear and the severity and prevalence of inflammatory process. …”
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1712
Structural and External Barriers to Pakistan’s Economic Growth: Pathways to Sustainable Development
Published 2024-11-01Get full text
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1713
Polyprenylated acylphloroglucinols from Garcinia species and structural revision of seven analogues
Published 2025-05-01“…Their structures were elucidated by interpretation of NMR and MS spectroscopic data. …”
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1714
An Axial-Oriented Dual-Layer Indexing Structure for Tunnel Point Clouds
Published 2025-01-01“…A fundamental challenge in tunnel point cloud processing is to efficiently manage massive datasets using appropriate data structures and accurately extract features such as tunnel axes and cross-sections. …”
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1715
Predicting the Probability of Failure in Truss Structures Using Artificial Neural Networks
Published 2025-10-01“…Reliability and safety evaluation is a significant topic in structural engineering. The main issues in structural reliability assessment are the excessive computational cost as well as the accuracy. …”
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1716
Analysis of Population Structure in Hungarian Coldblood Horses Based on Pedigree Information
Published 2025-05-01Get full text
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1717
Dielectric constant prediction in polymers: A chemical structure based approach
Published 2025-07-01“…Additionally, we implemented an extension of this approach to also handle SMILES-based polymer representations, allowing approximated predictions for molecular structures without available crystallographic data. …”
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1718
The Structure and Organization of Medical Care for Victims With Thermal Trauma in Emergency Situations
Published 2021-04-01“…The increase of an urban population in Russia up to 73% results in considerable human victims in big cities due to thermal injuries among others.THE AIM of the present research is to analyze the structure of ES victims and the efficiency of the organization of a medical care for victims with thermal injuries in Moscow in 2016–2018.MATERIAl AND METHODS We have held a retrospective analysis of 113 cases of patients of a Burn Center of Sklifosovsky Research Institute for Emergency Medicine of the Moscow Health Department, and have studies the data of an automated informational analytical system named “Emergency Medicine” for 2016 2018.RESUlTS For an absolute number of victims, fires are on the third place among different emergencies in Moscow, but on the prehospitalization stage, the biggest number of deaths are registered (38,2%). …”
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1719
Calculation of Activity Concentration Index for an Internal Space in a Concrete Structure
Published 2025-06-01Get full text
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1720
IWOA-LSTM based intrinsic structural identification of steel fiber concrete
Published 2025-07-01“…The degree of approximation between the IWOA-LSTM model’s prediction and experimental data shows that the trained model has a high learning accuracy and good generalization capability, making it appropriate for use in structural engineering applications.…”
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