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  1. 801

    Comparison of the Impact of Akmon, Sta-bar, Sta-pod, Stock cube, and Tribar Armoring Layers on the Level of Flow Rate and Wave Overtopping by Ali Safari, Mehdi Behdarvandi Askar

    Published 2024-01-01
    “…Concrete armors can be constructed in different shapes, allowing for the creation of armors that have high engagement properties and an increased damage coefficient (KD), ultimately leading to a reduction in the weight of armor pieces and their ability to be deployed in steeper slopes on the breakwater body. …”
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  2. 802

    Litter Decomposition of Indigenous Agroforestry Tree Species, Jimma Zone, Southwest Ethiopia by Kasu Hailu Biru, Solomon Estifanos, Dargo Kebede

    Published 2025-02-01
    “…C. macrostachus decomposes quickly, which may limit its ability to improve soil fertility over an extended period of time. …”
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  3. 803

    Li counterion-exchanged TEMPO-oxidized cellulose nanofibers as a copper electrode seal for short-circuit failure inhibition by Chenyang Li, Hitomi Yagyu, Shun Ishioka, Takaaki Kasuga, Hirotaka Koga, Masaya Nogi

    Published 2025-03-01
    “…TOCN ion-exchanged with lithium carboxyl groups (TOCN–Li) showed equivalent water swelling ability with TOCNs with sodium carboxylate groups (TOCN–Na). …”
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  4. 804

    SwinFishNet: A Swin Transformer-based approach for automatic fish species classification using transfer learning. by Ebru Ergün

    Published 2025-01-01
    “…The model's performance was evaluated using classification accuracy (CA), F1-score, recall, precision, Matthews correlation coefficient, Cohen's kappa and confusion matrix metrics. …”
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  5. 805

    Testing a Conceptual Lumped Model in Karst Area, Southwest China by Peng Shi, Mi Zhou, Simin Qu, Xi Chen, Xueyuan Qiao, Zhicai Zhang, Xinxin Ma

    Published 2013-01-01
    “…The performance of XAJ model was evaluated based on the model’s ability to reproduce the streamflow and baseflow. …”
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  6. 806

    Detecting Flooded Areas Using Sentinel-1 SAR Imagery by Francisco Alonso-Sarria, Carmen Valdivieso-Ros, Gabriel Molina-Pérez

    Published 2025-04-01
    “…An RF regression model using both rainfall metrics and season of the year gives a correlation coefficient of 0.451 and RMSE = 979 ha using LOO-CV. …”
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  7. 807

    MODEL OF TECTONIC EARTHQUAKE PREPARATION AND OCCURRENCE AND ITS PRECURSORS IN CONDITIONS OF CRUSTAL STRETCHING by R. M. Semenov, V. V. Kashkovsky, M. N. Lopatin

    Published 2018-03-01
    “…The diagram of metal stretching as a function of the relative elongation (to some degree of approximation and taking into account the coefficient of plasticity) can be considered as a model of preparation and occurrence of an earthquake source in case of rifting. …”
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  8. 808

    The Influence of Asset Management, Solvency, and Liquidity on Financial Performance in Food and Beverage Sub-Sector Companies Listed on the Indonesia Stock Exchange in 2021-2023 by Yanita Paulina Br Sebayang, Retnawati Siregar, Hasbiana Dalimunthe, Shabrina Tri Asti Nasution

    Published 2025-06-01
    “…These findings indicate that efficient asset management, a healthy capital structure, and the company's ability to meet short-term obligations are important factors in improving financial performance. …”
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  9. 809

    Development and validation of medication literacy scale for adults: MELSA version II by Betul Okuyan, Berkan Atasoy, Ercan Kulak, Goktug Gorpuz, Mesut Sancar, Pınar Ay

    Published 2025-03-01
    “…Results The interclass correlation coefficient (agreement) was 0.753 between the test and the two weeks retest. …”
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  10. 810

    Comparative Study on Prediction Models for Crack Opening Degree in Concrete Dam by HUANG Song, WU Jie, FANG Zhanchao, CHU Huaping, WU Yan'gang, XUE Zilong, HE Linbo

    Published 2025-03-01
    “…The random forest model has the best predictive ability (determination coefficient (<italic>R</italic><sup>2</sup>) is 0.995; root mean square error (<italic>E</italic><sub>RMS</sub>) and mean absolute error (<italic>E</italic><sub>MA</sub>) are 0.174 mm and 0.124 mm, respectively), followed by the stepwise regression model (<italic>R</italic><sup>2</sup> is 0.989; <italic>E</italic><sub>RMS</sub><italic> </italic>and <italic>E</italic><sub>MA</sub><italic> </italic>are 0.192 mm and 0.151 mm). …”
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  11. 811

    Tracking microstructural adaptations in primary visual areas: A diffusion kurtosis imaging study on visuomotor learning by Fahad Alharshan, Abdulrahman Aloufi, Fiona Rowe, Georg Meyer

    Published 2025-04-01
    “…Descriptive analysis, including the Coefficient of Variation (CV) and Bland-Altman (BA) metrics, was used to assess training effects.Results revealed significant reductions in kurtosis (MK, RK, AK) and diffusivity (MD) in task-relevant areas, particularly the cuneus, with overlapping findings between DKI and DTI-derived measures. …”
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  12. 812

    Analisis Faktor-Faktor Yang Mempengaruhi Kinerja Keuangan by Rangga Friday Syah Pratama, Rinwantin

    Published 2024-12-01
    “…The level of a bank's ability to make a profit is measured by Return on Assets (ROA). …”
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  13. 813

    Unveiling the Impact of Grit and Learning Agility on Academic Burnout Among Nursing Students: A Cross-Sectional Study by Ibrahim Abdullatif Ibrahim PhD, Atallah Alenezi PhD, Heba Rabea Hagrass PhD, Hoda Reda Abdou PhD

    Published 2025-05-01
    “…Descriptive statistics, Pearson correlation coefficient test, and simple linear regression were employed to analyze data in SPSS software (version 23.0). …”
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  14. 814

    Map geographic information road extraction method based on generative adversarial network and U-Net by Guangchun Liu, Huan He, Yun Gao, Guangbao Zhang, Tianyu Cao

    Published 2025-07-01
    “…The experimental results show that in the panchromatic and multispectral remote sensing image datasets, the structural similarity of the model reached 0.023, which was very close to the target value of 0, indicating that the model had excellent image fusion ability. Meanwhile, the spatial correlation coefficient value was also as high as 0.99, close to the target value of 1, further confirming the efficiency of the model in image fusion. …”
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  15. 815

    Rapid Microwave-Assisted Synthesis of CuSe Nanoparticles for High-Sensitivity Serotonin Biosensing in Serum by Sankar Sekar, Ramalingam Manikandan, Shiva Kumar Arumugasamy, Saravanan Sekar, Youngmin Lee, Seung-Cheol Chang, Sejoon Lee

    Published 2025-07-01
    “…Hexagonal copper selenide nanostructures (CuSe) were employed to modify a disposable screen-printed carbon electrode (SPCE), and their ability to electrochemically detect serotonin in serum samples was investigated. …”
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  16. 816

    18F-FDG PET-Derived Textural Indices Reflect Tissue-Specific Uptake Pattern in Non-Small Cell Lung Cancer. by Fanny Orlhac, Michaël Soussan, Kader Chouahnia, Emmanuel Martinod, Irène Buvat

    Published 2015-01-01
    “…Our aim was to investigate how the resampling approach affects the ability of TI to reflect tissue-specific pattern of metabolic activity.…”
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  17. 817

    Absorption effects in lasing microdroplets of dye solutions by William M. Piedra, Andrea Tomassini, Amrita Singh, Françisco M. Raymo

    Published 2025-05-01
    “…In fact, a solid understanding of the geometrical, optical and photophysical factors regulating the ability of a single dye‐doped microdroplet to produce laser emission has already been developed. …”
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  18. 818

    CPP: a path planning method taking into account obstacle shadow hiding by Ruixin Zhang, Qing Xu, Youneng Su, Ruoxu Chen, Kai Sun, Fengchang Li, Guo Zhang

    Published 2025-01-01
    “…Additionally, a deformed ellipse-based obstacle avoidance technique was introduced to enhance the vehicle’s ability to navigate around obstacles. We simplified the path by considering the relationship between path points and shadows. …”
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  19. 819

    Prediction of Temporal Liking from Temporal Dominance of Sensations by Using Reservoir Computing and Its Sensitivity Analysis by Hiroharu Natsume, Shogo Okamoto

    Published 2024-11-01
    “…The temporal dominance of sensations (TDS) method has received particular attention in the food science industry due to its ability to capture the time–series evolution of multiple sensations during food tasting. …”
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  20. 820

    Predicting the uplift capacity of circular anchors in frictional-cohesive soils using Kolmogorov-Arnold networks by Tran Vu-Hoang, Tan Nguyen, Jim Shiau, Hung-Thinh Pham-Tran, Trung Nguyen-Thoi

    Published 2025-04-01
    “…The optimized models exhibit high coefficient of determination (R²) values and low root mean square errors (RMSE) for training and testing datasets. …”
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