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  1. 301

    Testing and Evaluation of a Smart Irrigation System Towards Smart Landscaping in UAE by Al Sulaimani, Fatma

    Published 2019
    “…The population is growing drastically causing an increase in urban development and landscape expansion, which as a result increase the demand for water. …”
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  2. 302

    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. …”
  3. 303

    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). …”
  4. 304

    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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  5. 305

    Wind shear coefficient, turbulence intensity and wind power potential assessment for Dhulom, Saudi Arabia by Rehman, Shafiqur

    Published 2020
    “…Furthermore, lower values were obtained during November to March and higher during rest of the year. Finally, a decreasing pattern was observed in the values of TIs with increasing height.…”
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    article
  6. 306
  7. 307

    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). …”
  8. 308

    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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    article
  9. 309
  10. 310

    Characterization of Contusive Spinal Cord Injury by Monitoring Motor-Evoked Potential by ALL, Angelo H.

    Published 2024
    “…Results: The results indicate that the relative MEP power spectral decreased to 11% and 22% in the left and right hindlimbs, respectively, during the first week post-SCI. …”
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    article
  11. 311

    Hypospadias Reconstruction Training: Development of an Ex-Vivo Model for Objective Evaluation of Surgical Skills by Abbas, Tariq

    Published 2025
    “…Machine learning techniques analyzed muscle activation patterns and attributes for assessing surgical precision. …”
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    article
  12. 312

    Testing and Evaluation of a Smart Irrigation System towards Smart landscaping in UAE by ALSULAIMANI, FATMA

    Published 2017
    “…It is clear that the population is growing drastically causing an increase in urban development and landscape expansion which as a result increase the demand for water. …”
    Get full text
  13. 313

    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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  14. 314

    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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    article
  15. 315

    State‐dependent control of breathing by the retrotrapezoid nucleus by Burke, Peter G. R.

    Published 2015
    “…VT is always regulated by RTN and CO2 but fR is regulated by CO2 and RTN only when the brainstem pattern generator is in autorhythmic mode (anaesthesia, non-REM sleep, quiet wake).…”
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    article
  16. 316

    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. …”
  17. 317

    NLRP7 inter-domain interactions by El Maarri, Osman

    Published 2014
    “…This condition is characterized by abnormal growth of the placenta, a lack of proper embryonic development and abnormal methylation patterns at multiple imprinted loci in diploid biparental molar tissues. …”
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  18. 318

    Whole-Genome Molecular Characterization and Typing of Staphylococcus aureus Isolated from Lebanon by El Hassan, Sarah

    Published 2020
    “…The antimicrobial susceptibility patterns were determined, and virulence determinants were detected in silico. …”
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    masterThesis
  19. 319

    A Multidecadal Assessment of Haze Development and Fluctuations in Visibility for Arabian Peninsula by Luqman Atique (16036586)

    Published 2024
    “…Oman’s daily visibility have revealed complex pattern with frequent occurrence of close to zero visibility starting from 1975. …”
  20. 320

    Addressing Challenges of Distance Learning in the Pandemic with Edge Intelligence Enabled Multicast and Caching Solution by Kashif Bilal (16896357)

    Published 2022
    “…Due to the closure of educational institutes, work and learn from home methods have burdened the network resources and considerably decreased a viewer’s Quality of Experience (QoE). The situation calls for innovative techniques to handle the surging load of video traffic on cellular networks. …”