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  1. 3201
  2. 3202
  3. 3203

    Factor structure of the Utrecht Work Engagement Scale in a sample of Danish and Swedish haemodialysis nurses by Maria Lindberg, Kati Knudsen, Magnus Lindberg

    Published 2025-07-01
    “…Conclusions The study findings, evaluated using methods that consider the ordinal nature of the scale ratings, indicate that the UWES-9 is a reliable and valid unidimensional measure with high data completeness, strong internal consistency, and a supported factor structure. …”
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  4. 3204
  5. 3205

    Mapping urban green structures using object-based analysis of satellite imagery: A review by Shivesh Kishore Karan, Bjørn Tobias Borchsenius, Misganu Debella-Gilo, Jonathan Rizzi

    Published 2025-01-01
    “…Urban green structures (UGS) play important roles in enhancing urban ecosystems by providing benefits such as mitigating the urban heat island effect, improving air quality, supporting biodiversity, and aiding in stormwater management. …”
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  6. 3206

    Bird population trend analyses for a monitoring scheme with a highly structured sampling design by Rieger, Mirjam R, Grüneberg, Christoph, Oberhaus, Michael, Trautmann, Sven, Parepa, Madalin, Anthes, Nils

    Published 2025-05-01
    “…The study provides a template script for R statistical software so the workflow can be adapted to other monitoring programmes with comparable survey designs and data structures.…”
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  7. 3207

    Geometric evaluation of the central courtyard and analyzing the structure of architectural spaces in hot and humid local climate by Hamed Hayaty, Fereshteh Khamisi

    Published 2023-12-01
    “…Lack of sufficient and accurate understanding based on fundamental and authentic assumptions of the continued patterns of traditional Iranian house architecture has led to disturbances in the fundamental structures of modern house architecture. The research aims to evaluate the geometric characteristics of central courtyards and analyze the structural spaces in the warm and humid native climate of Qajar and Safavid period houses in Dezful, and to understand and represent in modern house architecture. …”
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  8. 3208
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  10. 3210

    Integrating Multimodal Neuroimaging and Genetics: A Structurally-Linked Sparse Canonical Correlation Analysis Approach by Jiwon Chung, Sunghun Kim, Ji Hye Won, Hyunjin Park

    Published 2024-01-01
    “…In our proposed structurally linked SCCA framework, we leverage T1-weighted MRI and functional MRI (fMRI) time series data to delineate both the structural and functional characteristics of the brain. …”
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  11. 3211

    Automated identification of bulk structures, two-dimensional materials, and interfaces using symmetry-based clustering by Thea Denell, Lauri Himanen, Markus Scheidgen, Claudia Draxl

    Published 2025-02-01
    “…Abstract With the rapidly increasing amount of materials data being generated in a variety of projects, efficient and accurate classification of atomistic structures is essential. …”
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  12. 3212

    Intricate interactions between fine-scale genetic structure, lifestyle, and dietary habits in the Japanese population by Yichi Chen, Kotoe Katayama, Sachiko Ishida, Seiya Imoto

    Published 2025-07-01
    “…We investigate the associated genetic factors and examine the relationship between the genetic structure and geographic ancestry. Additionally, using cross-sectional data and multinomial logistic regression, we further elucidate the nuanced impacts of lifestyle and dietary factors across genetic clusters, emphasizing the importance of integrating genetic data with epidemiological research. …”
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  13. 3213

    A Novel Inversion Method of Manufacturing Flaws in the Packaging of Conformal Load-Bearing Antenna Structure by P. Li, W. Y. Xu, L. W. Song, Y. Y. Qiu

    Published 2015-01-01
    “…Composite material is widely used in the conformal load-bearing antenna structure (CLAS), and the manufacturing flaws in the packaging process of the CLAS will lead to the degradation of its wave-transparent property. …”
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  14. 3214

    A digital twin framework with MobileNetV2 for damage detection in slab structures by Duong Huong Nguyen, Huan Nguyen, Xiaohong Gao

    Published 2025-04-01
    “…To verify the proposed framework, we present a case study of slab structure using deflection measurement as input data. …”
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  15. 3215

    New Method of Impact Localization on Plate-like Structures Using Deep Learning and Wavelet Transform by Asaad Migot, Ahmed Saaudi, Victor Giurgiutiu

    Published 2025-03-01
    “…This paper presents a new methodology for localizing impact events on plate-like structures using a proposed two-dimensional convolutional neural network (CNN) and received impact signals. …”
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  16. 3216
  17. 3217

    Investigating the Impact of Supply Chain Dynamics on Financial Performance with Supply Chain Disruption Structure Approach by Ebrahim Farbod, Alireza Hamidieh, Hootan Amininia

    Published 2023-09-01
    “…Analysis of variance-based structural equations has been used to analyze the data.Findings: The study results show that the dynamics and flexibility of the supply chain in the face of disruptions affect financial performance with the mediating role of supply chain resilience. …”
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  18. 3218

    OAC-HAS: outsourced access control with hidden access structures in fog-enhanced IoT systems by Jiale Zhang, Zhen Cheng, Xiang Cheng, Bing Chen

    Published 2021-10-01
    “…However, the security and privacy issues, such as data leakage, still challenge the wide deployment of fog computing infrastructure. …”
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  19. 3219

    A Conditional Simulation Method for Predicting Wind Pressure Fields of Large-Span Spatial Structures by Fangjin Sun, Tiantian Liu, Daming Zhang, Zhonghao Xu

    Published 2021-01-01
    “…Considering the complexity of wind pressure fields of large-span spatial structures, a simplified nonparametric method based on conditional simulation is proposed to predict the unknown pressures using the existing data. …”
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  20. 3220

    Protein-Protein Interaction Extraction using Attention-based Tree-Structured Neural Network Models by Sudipta Singha Roy, Robert E. Mercer

    Published 2022-05-01
    “…It is typically quite difficult to extract a protein-protein interaction (PPI) from text data as text data is complex in nature. Unlike sequential models, tree-structured neural network models have the ability to consider syntactic and semantic dependencies between different portions of the text and can provide structural information at the phrase level. …”
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