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  1. 301

    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. …”
  2. 302

    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. …”
  3. 303

    Studying coral reef patterns in UAE waters using panel data analysis and multinomial logit and probit models by Ben Romdhane, Haifa

    Published 2020
    “…Furthermore, results demonstrated that the probability of severe damage increases with decreasing water oxygenation and with increasing temperature, light, salinity, acidity and nutrient levels. …”
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  4. 304

    Cardiorespiratory Fitness and Performance Adaptations to High-Intensity Interval Training: Are There Differences Between Men and Women? A Systematic Review with Meta-Analyses by Merilyn Lock (9440240)

    Published 2023
    “…Data were sub-grouped for men and women, baseline training level, mean age, intervention type, and intervention length. …”
  5. 305

    The impact of green supply chain management practices on environmental performance during COVID-19 period: the case of discretionary companies in the G-20 countries by El Khoury, Rim

    Published 2022
    “…It highlights the impact of green initiatives to cope with major disruptions and decrease pollution and environmental disaster.…”
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    article
  6. 306

    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. 307

    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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    conferenceObject
  8. 308

    Rescue cerclage by Khoury, Alfred

    Published 2006
    “…Women who required rescue cerclage after failed prophylactic cerclage (n = 12) were 50% less likely to reach 28 weeks. Advanced dilation of 3 cm and/or prolapsed membranes (n = 18) did not decrease the likelihood of reaching 28 weeks. …”
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  9. 309

    Investigating The Efficacy of Ruxolitinib and CHIR-99021 in Targeting Pediatric Neuroblastoma Stem Cells by Al Sayyed, Fatima

    Published 2021
    “…The highly malignant rate in neuroblastoma is likely due to the continuous acquisition of genetic aberrations in undifferentiated neuroblastoma cancer stem cells (CSCs). …”
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  10. 310

    Rebound effects undermine carbon footprint reduction potential of autonomous electric vehicles by Nuri C. Onat (14779093)

    Published 2023
    “…<p dir="ltr">Autonomous vehicles offer greater passenger convenience and improved fuel efficiency. However, they are likely to increase road transport activity and life cycle greenhouse emissions, due to several rebound effects. …”
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  13. 313

    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). …”
  14. 314

    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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  15. 315
  16. 316

    FLACON: A Deep Federated Transfer Learning-Enabled Transient Stability Assessment During Symmetrical and Asymmetrical Grid Faults by Mohamed Massaoudi (16888710)

    Published 2024
    “…This article proposes an innovative focal loss-based multihead attention convolutional network (FLACON) for accurate post-disturbance TSA under both symmetrical and asymmetrical smart grid faults. The proposed approach effectively incorporates cross-domain deep federated transfer learning (FTL) to leverage local operating data for TSA in a decentralized fashion. …”
  17. 317

    The DJ-1 superfamily members YhbO and YajL from Escherichia coli repair proteins from glycation by methylglyoxal and glyoxal by Abdallah, Jad

    Published 2016
    “…Both proteins are involved in protection against environmental stresses. Here, we show that, like DJ-1 and Hsp31, they repair glyoxal- and methylglyoxal-glycated proteins. …”
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  18. 318

    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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  19. 319

    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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  20. 320

    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. …”