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  1. 1

    Mixed precision iterative refinement with adaptive precision sparse approximate inverse preconditioning by Noaman Khan (19810050)

    Published 2025
    “…<p dir="ltr">Hardware trends have motivated the development of mixed precision algorithms in numerical linear algebra, which aim to decrease runtime while maintaining acceptable accuracy. …”
  2. 2

    Serum 25-hydroxyvitamin D concentrations are inversely associated with body adiposity measurements but the association with bone mass is non-linear in postmenopausal women by Vijay, Ganji

    Published 2021
    “…In a continuous variable analysis, the association between 25(OH)D and bone mass was significant, non-linear, inverse ‘U’. In conclusion, serum 25-hydroxyvitamin D was inversely associated with adiposity measures and non-linearly associated to bone mass in postmenopausal Qatari women.…”
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  3. 3

    Serum 25-hydroxyvitamin D concentrations are inversely associated with body adiposity measurements but the association with bone mass is non-linear in postmenopausal women by Vijay Ganji (8710491)

    Published 2021
    “…In a continuous variable analysis, the association between 25(OH)D and bone mass was significant, non-linear, inverse ‘U’. In conclusion, serum 25-hydroxyvitamin D was inversely associated with adiposity measures and non-linearly associated to bone mass in postmenopausal Qatari women.…”
  4. 4

    Analyzing the Influence of Climate and Anthropogenic Development on Vegetation Cover in the Coastal Ecosystems of GCC by Abhilash Dutta Roy (22466830)

    Published 2025
    “…Our results revealed significant changes in land cover, as seen by an increase in artificial built-up areas by 15.5% in two decades and a corresponding decrease in bareland and dense vegetation. …”
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    YOLO-DefXpert: An Advanced Defect Detection on PCB Surfaces Using Improved YOLOv11 Algorithm by Prabu Selvam (22330264)

    Published 2025
    “…Compared to the standard YOLOv11 model, the proposed YOLO-DefXpert attained an improvement of 9.3% and 13.2% in mAP50 and mAP95, an 11.25% increase in frames per second, and a 69.85MB decrease in model size. These findings highlight a notable enhancement in both accuracy and model efficiency in detecting tiny defects in the PCB board.…”
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    Assessment of Brain Function After 240 Days Confinement Using Functional Near Infrared Spectroscopy by Yahya, Fares

    Published 2024
    “…The FCN shows a significant decrease in most of the right frontal areas. …”
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  8. 8

    Using Data Mining and Text Mining Techniques in Predicting the Price of Real Estate Properties in Dubai by Khashan, Deena Younis Abo

    Published 2014
    “…It is found that the results of linear regression prediction have been improved significantly after adding text mining to the experiments. …”
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  9. 9

    Adult appendicitis score versus Alvarado score: A comparative study in the diagnosis of acute appendicitis by Mohamed Said Ghali (16810713)

    Published 2023
    “…The correlation between Alvarado and AAS with HP was significant. AAS ≥ 16 presented sensitivity and specificity of 50 % and 75.47 %, respectively, with PPV of 97.96 % and NPV of 6.02 %, with an accuracy of 51.04 %. …”
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    A novel hybrid methodology for fault diagnosis of wind energy conversion systems by Khaled Dhibi (16891524)

    Published 2023
    “…Feature selection pre-processing is an important step to increase the accuracy of the classification algorithm and decrease the dimensionality of a dataset. …”
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    Effect of temperature on the rheological properties of neat aqueous Wyoming sodium bentonite dispersions by Vryzas, Zisis

    Published 2017
    “…The Bingham yield stress, from the low shear rate data, increased linearly with temperature, while the plastic viscosity decreased with temperature, in a manner very similar to the decrease of water viscosity with temperature. …”
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    Privacy-Preserving Fog Aggregation of Smart Grid Data Using Dynamic Differentially-Private Data Perturbation by Fawaz Kserawi (16904859)

    Published 2022
    “…However, billing accuracy can be degraded by using such additive noise techniques. …”
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    EEG-Based Semantic Vigilance Level Classification Using Directed Connectivity Patterns and Graph Theory Analysis by Yahya, Fares

    Published 2020
    “…Behaviorally, all subjects demonstrated vigilance decrement as reflected by the significant increase in response time and reduced accuracy. …”
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  15. 15

    Self-reported awareness and attitude of cancer patients towards clinical nurse coordinators by Deeb, Ahmad

    Published 2017
    “…Results: The overall percentage mean scores ± standard deviation of knowledge was 59 ± 17, perception towards clinical nurse coordinators (79 ± 14) and attitude towards seeking their services (69 ± 16). Linear regression showed that participants on chemotherapy had significantly better perception (higher scores) compared to participants on concurrent therapies (β = -3.91, p = .049). …”
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  16. 16

    The Effect of the Variation of the Modulus of Subgrade Reaction on the Design of Large Shallow Foundations by Al Kaaby Al Zoaby, Hassan

    Published 2022
    “…With the use of variable coefficient across the mat foundation, a significant decrease in the steel reinforcement is witnessed and an optimized/ more adapted steel distribution is observed.…”
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  17. 17

    Total hip arthroplasty: Evolution of the use of dual mobility cups in Lebanon by Assi, Chahine

    Published 2018
    “…Recurrent dislocation, being a major reason for revision total hip arthroplasty (THA), was found to decrease significantly using dual mobility cup (DMC) compared to standard cups (SC), and that in both primary and revision THA. …”
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  18. 18

    Effect of consanguinity on birth weight for gestational age in a developing country by Wakim, Gerard

    Published 2007
    “…No significant difference was observed in the decrease in birth weight between the first- and second-cousin marriages. …”
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  19. 19

    An Improved Genghis Khan Optimizer based on Enhanced Solution Quality Strategy for Global Optimization and Feature Selection Problems by Abdel-Salam, Mahmoud

    Published 2024
    “…The primary goals of feature selection are to decrease the number of dimensions and enhance classification accuracy in many domains, such as text classification, large-scale data analysis, and pattern recognition. …”
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