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  1. 3601

    Evaluating Theoretical Solvent Models for Thermodynamic and Structural Descriptions of Dacarbazine–Cyclodextrin Complexes. The Theoretical and Conductometric Study by Zdzisław Kinart, Marta Hoelm, Martyna Imińska

    Published 2025-05-01
    “…In this study, the influence of various implicit solvent models on the structural and thermodynamic properties of dacarbazine complexes with three cyclodextrins—α-CD, HP-β-CD, and HE-β-CD—was evaluated. …”
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    Article
  2. 3602
  3. 3603

    Integrating Environmental Covariates into Adaptability and Stability Analyses: A Structural Equation Modeling Approach for Cotton Breeding by Matheus Massariol Suela, Moysés Nascimento, Ana Carolina Campana Nascimento, Camila Ferreira Azevedo, Paulo Eduardo Teodoro, Francisco José Correia Farias, Luiz Paulo de Carvalho, Diego Jarquin

    Published 2024-10-01
    “…In the context of phenotypic adaptability and stability analysis, structural equation modeling (SEM) offers an interesting approach to integrating environmental covariates. …”
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    Article
  4. 3604

    Understanding and reducing delayed dental care for early childhood caries: a structural equation model approach by Mengmeng Wang, Yu Zhang, Xiaofei Li, Xin Liu

    Published 2025-02-01
    “…The data in this study were analyzed using a variety of statistical tests, including the Kruskal-Wallis and Mann-Whitney tests, correlation analysis, multiple stepwise regression analysis, and structural equation modeling (SEM). …”
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    Article
  5. 3605

    Research on sinusoidal load identification method under structural natural frequency excitation based on LSTM-CNN by HE Wenbo, SUN Hanyu, XIE Jiang, ZHANG Xiaoqiang

    Published 2024-10-01
    “…For model training and load identification,the response data and excitation data from the structure are corrected. …”
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    Article
  6. 3606

    Multi-Task Learning for Real-Time BSIM-CMG Parameter Extraction of NSFETs With Multiple Structural Variations by Seunghwan Lee, Seungjoon Eom, Jinsu Jeong, Junjong Lee, Sanguk Lee, Hyeok Yun, Yonghwan Ahn, Rock-Hyun Baek

    Published 2024-01-01
    “…To mitigate overfitting due to disparate data sources, such as Monte Carlo simulations for training data and technology computer-aided design (TCAD) simulations or hardware measurements for test data, additive noise was incorporated into the training data. …”
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  7. 3607

    Vestibular schwannoma: structural characteristics, objectification of metabolic dysfunction and its clinical significance (controversial and promising issues) by O.Yu. Malysheva, V.V. Vaslovych, O.G. Chernenko, V.O. Fedirko, G.A. Shmeleva, T.A. Malysheva

    Published 2024-10-01
    “…Such changes are individual metabolic alterations, partially age-related. Preliminary data on morphological characteristics (stromal-parenchymal features) in the diagnosis of vestibular schwannoma, structural signs of metabolic dysfunction, and levels of expression of histochemical markers for predicting growth rates are presented. …”
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  8. 3608
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  10. 3610
  11. 3611

    Plant community and structural pattern analyses of Abraham Sacred Forest in Amhara Regional State, northwest Ethiopia. by Getinet Masresha Kassa, Ayenew Lisanu Teka, Getahun Tassew Melese

    Published 2025-01-01
    “…Thus, this work was aimed to evaluate the plant community formation and structural dynamics of the Abraham Sacred Forest patch. …”
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    Article
  12. 3612

    The effects of descriptive assessment on student learning and its relationship with mental health using structural equation modeling by Jameleh Farhudi, Vali Mehdinezhad, Mahnoosh Abedini

    Published 2025-05-01
    “…Methods: This descriptive-correlational study employed Structural Equation Modeling (SEM) using AMOS software to analyze the relationships among variables. …”
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  13. 3613

    Structural Equation Modeling of Corona Anxiety Based on Corona Knowledge and Social Support Mediated by Quality of Life by Nooshin Boragh, Mokhtar Arefi, Saeeddeh Hosseini, Karim Afsharinia

    Published 2024-10-01
    “…Moreover, the data was analyzed by the structural equation method using the SPSS (version 25) and PLS3 Smart software. …”
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    Article
  14. 3614

    Structural Analysis of Factors Influencing the Resilience of the Hospital Medical Equipment Supply Chain Using Fuzzy MICMAC by farokhlegha mohammadi, mandana sahebzadeh, Yahya Hematyar Tabatabaei

    Published 2024-11-01
    “…Methods: This mixed-method (qualitative-quantitative) study included faculty members knowledgeable in the field, heads of medical equipment departments in universities and hospitals, senior managers from medical equipment manufacturing and importing companies, and healthcare administrators. Data were collected through checklists and semi-structured interviews. …”
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  15. 3615
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  17. 3617

    Factors Related to Tobacco Cessation Attempts Among Turkish Adolescents: A Structural Equation Model Analysis by Cemre Hilal Kesen Yurtcanli, Murat Tuğberk Bakar, Şükran Peker, Nadiye Pinar Ay

    Published 2024-11-01
    “…The outcome was an attempt to quit smoking within the past year. Structural Equation Model (SEM) was used for data analysis. …”
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    Article
  18. 3618

    The Ellipsoid Zone Is a Structural Biomarker for Visual Outcomes in Diabetic Macular Edema and Macular Hole Management by Shivani Chaturvedi, Amisha Paul, Samya Singh, Levent Akduman, Sandeep Saxena

    Published 2025-01-01
    “…Objectives: The goal was to study the ellipsoid zone (EZ) as a structural biomarker for final visual outcomes after pharmacological intervention in center-involving diabetic macular edema (DME) and surgical intervention for full-thickness macular holes (FTMHs). …”
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  19. 3619

    Using de novo assembly to identify structural variation of eight complex immune system gene regions. by Jia-Yuan Zhang, Hannah Roberts, David S C Flores, Antony J Cutler, Andrew C Brown, Justin P Whalley, Olga Mielczarek, David Buck, Helen Lockstone, Barbara Xella, Karen Oliver, Craig Corton, Emma Betteridge, Rachael Bashford-Rogers, Julian C Knight, John A Todd, Gavin Band

    Published 2021-08-01
    “…Our results demonstrate that assessing haplotype variation in these regions is possible given sufficiently accurate long-read and associated data. Continued reductions in the cost of these technologies will enable application of these methods to larger samples and provide a broader catalogue of germline structural variation at these loci, an important step toward making these regions accessible to large-scale genetic association studies.…”
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  20. 3620