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  1. 321

    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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  2. 322

    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. …”
  3. 323

    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. …”
  4. 324

    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. …”
  5. 325

    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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  6. 326

    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. …”
  7. 327

    Predictors of prolonged hospitalization among geriatric trauma patients using the modified 5-Item Frailty index in a Middle Eastern trauma center: an 11-year retrospective study by Husham Abdelrahman (768893)

    Published 2025
    “…</p><h3>Results</h3><p dir="ltr">There were 17,600 trauma hospitalizations with a mean age of 32 ± 15 years between 2010 and 2021; of them, 9.2% were geriatrics at ≥ 55–64 years (n = 935) and ≥ 65 years (<i>n</i> = 691). …”
  8. 328

    Current rise index (CRI) maps of machine tool motors for tool-wear prognostic by Ammouri, A.H.

    Published 2017
    “…Such maps may also serve as indirect means of predicting tool-wear in automated cutting operations.…”
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  10. 330

    HIV epidemiology among female sex workers and their clients in the Middle East and North Africa: systematic review, meta-analyses, and meta-regressions by Hiam Chemaitelly (439114)

    Published 2019
    “…There was strong evidence for increasing prevalence post-2003; the odds increased by 15% per year (AOR = 1.15, 95% CI = 1.09–1.21). …”
  11. 331

    Optimal design of a new vibration absorber setup for randomly forced systems by Issa, Jimmy

    Published 2012
    “…White noise excitation is assumed and the objective function is the mean square value of the primary system response function. …”
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  12. 332

    Crisis Communication Management Model in the Public Sector of Dubai by Ali, Budoor Hussain

    Published 2012
    “…Communication is at the heart of our lives. It is our means of conveying information and understanding facts, of enabling us to prepare for a predicted event, deal with that event and to be informed. …”
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  13. 333

    Dividend policy and corporate investment under information shocks by Harakeh, Mostafa

    Published 2020
    “…Then, I find that the constraining effect of dividends on investments declines following the information shock, especially among firms with higher levels of information asymmetry ex-ante. Finally, I show that less constrained investments contribute to maximizing firm value. …”
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  14. 334

    A discrete-time stochastic iterative learning control algorithm for a class of nonlinear systems by Saab, S. S.

    Published 2005
    “…The state disturbance, reinitialization errors, and measurement errors are considered to be zero-mean white processes. It is shown that the input error covariance matrix converges to zero in presence of uncorrelated disturbances. …”
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    Electrically conductive hybrid organic crystals as flexible optical waveguides by Li, Liang

    Published 2022
    “…In cyclic operation mode, their conductivity decreases less than 1% after 10,000 thermal cycles. …”
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  17. 337

    Tailoring motivational health messages for smoking cessation using an mHealth recommender system integrated with an electronic health record: a study protocol by Santiago Hors-Fraile (5950823)

    Published 2018
    “…The usage of tailored health messages to support quitting has been proved to increase quitting success rates. Technology can provide convenient means to deliver tailored health messages. …”
  18. 338

    Positional and dimensional temporomandibular joint osseous changes in patients treated with the forsus fatigue resistant device: a non-randomized clinical trial by Ramy Abdul-Rahman Ishaq (22928974)

    Published 2025
    “…After alignment and leveling with fixed orthodontic appliances using 0.019 × 0.025-inch stainless-steel archwires, the FFRD was fitted. The overjet was corrected to achieve an edge-to-edge incisor relationship. …”
  19. 339

    Putting the ‘HAT’ back on survival signalling by Sleiman, Sama F.

    Published 2009
    “…Decreased histone acetyltransferase activity and transcriptional dysfunction have been implicated in almost all neurodegenerative conditions. …”
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  20. 340