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    Driving simulation sickness and the sense of presence: Correlation and contributing factors by Mustafa Almallah (17280568)

    Published 2021
    “…Results showed that females reported significantly higher SS scores than males. An increasing trend in the SS was observed with the increase of age. …”
  4. 304

    Effect of community-based intervention on knowledge and practice of rural mothers toward children home injuries by Marwa Mamdouh Shaban (18000123)

    Published 2023
    “…</p><h3>Results </h3><p dir="ltr">The findings revealed that around 62.5% of the male children had home injuries lasting 6 months or less before the research. The mean total knowledge score increased from 39 ± 5.4 in the pretest to 41 ± 9.0 in the posttest, while the mean total practice score increased from 31.2 ± 5.7 in the pretest to 48.6 ± 9.7 in the posttest. …”
  5. 305

    The Colonial impacts on French trade patterns by El Kallab, Tania

    Published 2017
    “…Controlling for the main gravity model factors, our results suggest that higher French settlement increase the French imports and exports of all goods except the imports of agricultural raw materials which increase with less settlement meaning that “Extractivist” policies do not need to settle. …”
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  6. 306

    ''Effectiveness of Non-invasive Positive Pressure Ventilation in ELBW Infants: A Comparison of Successful and Failed Outcomes'' by Ratheesh Paramban (17046388)

    Published 2023
    “…The duration of NIPPV support was significantly longer in the NIPPV-success group compared to the NIPPV-failure group (mean 36+_27.6 hours vs 9.4+_21.3 hours, p<0.001), 2 babies in the NIPPVS we later intubated at mean 209 hours vs 9.4 hours in the NIPPV-F group, due to increased work of breathing and FiO2 requirement. …”
  7. 307

    Thrombophilic genetic anomalies and their association with dialysis initiation age in a cohort of Lebanese hemodialysis patients by Barbari, A.

    Published 2018
    “…We stratified patients by quartiles according to their mean score of genetic mutations and traditional risk factors, as well as their mean age at dialysis initiation. …”
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  8. 308

    Improving MRI Resolution: A Cycle Consistent Generative Adversarial Network-Based Approach for 3T to 7T Translation by Zakaria Shams Siam (22048001)

    Published 2024
    “…Utilizing a post-processing technique, the best performing model generated 7T MRI from 3T MRI with a structural similarity index measure (SSIM) of 83.80%, peak SNR (PSNR) of 26.25, normalized mean squared error (NMSE) of 0.0088 and normalized mean absolute error (NMAE) of 0.0630. …”
  9. 309

    Solar power forecasting beneath diverse weather conditions using GD and LM-artificial neural networks by Sharma, Neetan

    Published 2023
    “…The model output has been presented in root mean square error and mean absolute percentage error. …”
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    Chromogranin A‐positive hormone‐negative endocrine cells in pancreas in human pregnancy by Abu Saleh Md Moin (6189512)

    Published 2023
    “…However, an increase in the percentage of clustered β-cells was found in pregnancy, with decreased frequency of other endocrine cells in clusters, suggesting a compensatory shift from other pancreatic endocrine cell types to β-cells as a mechanism to meet the increased insulin demands of pregnancy.…”
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    Dispatchable capacity optimization strategy for battery swapping and charging station aggregators to participate in grid operations by Mingze, Zhang

    Published 2023
    “…Also, the aggregator does not worsen the original power load while meeting the EV swapping demand and can decrease the daily load fluctuations by 0.65% and 12.89%, reduce the peak–valley difference by 5.81% and 7.80%, and increase the load rate by 3.67% and 4.08% in working and non-working day situations through providing the dynamic dispatchable capacity for the grid.…”
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  14. 314

    Board Characteristics and Bank Stock Performance: Empirical Evidence from the MENA Region by Antoine B. Awad (21591401)

    Published 2024
    “…Specifically, MENA banks are advised to decrease the number of board members, and this should reduce the number of annual board meetings which, in turn, should maximize performance.…”
  15. 315

    Dispatchable capacity optimization strategy for battery swapping and charging station aggregators to participate in grid operations by Mingze Zhang (9947863)

    Published 2023
    “…Also, the aggregator does not worsen the original power load while meeting the EV swapping demand and can decrease the daily load fluctuations by 0.65% and 12.89%, reduce the peak–valley difference by 5.81% and 7.80%, and increase the load rate by 3.67% and 4.08% in working and non-working day situations through providing the dynamic dispatchable capacity for the grid.…”
  16. 316

    Machine Learning-Based Management of Electric Vehicles Charging: Towards Highly-Dispersed Fast Chargers by Mostafa Shibl (18810412)

    Published 2020
    “…The use of ML provides a less complex method to coordinate EVs, in comparison with conventional optimization techniques such as quadratic programming, and the use of ML is faster as it requires less computational power. …”
  17. 317

    Skeletal, dentoalveolar and soft tissue effects of different maxillary expansion appliances in cleft lip/palate patients: A systematic review and frequentist network meta-analysis by Maged S. Alhammadi (14150757)

    Published 2025
    “…The iMini-Molars (iMini-M) was the most effective appliance for increasing maxillary skeletal width (mean: 0.89 mm [range: 0.01–1.78]), with the hyrax following closely behind. …”
  18. 318

    Extramedullary haematopoiesis in patients with transfusion dependent β-thalassaemia (TDT): a systematic review by Eihab A. Subahi (12217761)

    Published 2022
    “…</p><h3>Results</h3><p dir="ltr">Data from 253 cases of EMH in BTM patients were extracted with a mean age of 35.3 years. Mean haemoglobin at presentation with EMH was 8.2 mg/dL. …”
  19. 319

    The Sources of Variance in the Helsinki Stock Exchange by Ben Sita, Bernard

    Published 2017
    “…Furthermore, inserting the ratio of volume expectation to duration expectation in the ARMA model and the vector error correction (VEC) model, we find that the short-term variance increases (decreases) when more (less) than 1 unit share is traded for 1 unit time.…”
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  20. 320

    Wild Blueberry Harvesting Losses Predicted with Selective Machine Learning Algorithms by Humna Khan (17541972)

    Published 2022
    “…Statistical parameters i.e., mean absolute error (MAE), root mean square error (RMSE), and coefficient of determination (R<sup>2</sup>), were used to assess the prediction accuracy of the models. …”