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321
Solar power forecasting beneath diverse weather conditions using GD and LM-artificial neural networks
Published 2023“…The model output has been presented in root mean square error and mean absolute percentage error. …”
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322
Teachers’ Job Satisfaction in Instructional Delivery Modalities, and the Role of School Leaders: a Study among Selected Private Schools in Abu Dhabi.
Published 2022“…For example, the interviews recommended that school leaders are invited to build an active channel of communication with their teachers, share the decision-making process with them, decrease the workload, raise the teachers’ autonomy, and establish a remuneration system.…”
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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
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. …”
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324
Extramedullary haematopoiesis in patients with transfusion dependent β-thalassaemia (TDT): a systematic review
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. …”
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325
Cardiorespiratory Fitness and Performance Adaptations to High-Intensity Interval Training: Are There Differences Between Men and Women? A Systematic Review with Meta-Analyses
Published 2023“…Data were sub-grouped for men and women, baseline training level, mean age, intervention type, and intervention length. …”
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326
Testing and Evaluation of a Smart Irrigation System Towards Smart Landscaping in UAE
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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327
Wild Blueberry Harvesting Losses Predicted with Selective Machine Learning Algorithms
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. …”
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328
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
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). …”
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329
Assessing the Built Environment’s Reflectivity, Flexibility, Resourcefulness, and Rapidity Resilience Qualities against Climate Change Impacts from the Perspective of Different Sta...
Published 2023“…<p dir="ltr">The frequency and severity of climate change are projected to increase, leading to more disasters, increased built environment system (BES) vulnerability, and decreased coping capacity. Achieving resilience objectives in the built environment is challenging and requires the collaboration of all relevant sectors and professionals. …”
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330
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331
Current rise index (CRI) maps of machine tool motors for tool-wear prognostic
Published 2017“…Such maps may also serve as indirect means of predicting tool-wear in automated cutting operations.…”
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332
Thermal regulation of algae cultures in raceway ponds utilizing ground heat: Improving techno-economic feasibility and process sustainability of large-scale algae production in Qat...
Published 2023“…There is an increasing drive for developing sustainable alternatives for fuels, foods, feeds, and chemicals. …”
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333
HIV epidemiology among female sex workers and their clients in the Middle East and North Africa: systematic review, meta-analyses, and meta-regressions
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). …”
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334
Optimal design of a new vibration absorber setup for randomly forced systems
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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335
Effect of the stretch rate during uniaxial testing on the mechanical properties of prolene
Published 2017“…For extension (%) at peak load, a decreasing trend was found vs. stretch rate (R2 = 0.81; two-tailed p value = 0.037) where increasing the displacement rate from 1 mm/min to 500 mm/min corresponds to a 22% decrease in the relative elongation of the mesh. …”
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336
Testing and Evaluation of a Smart Irrigation System towards Smart landscaping in UAE
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. …”
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337
Crisis Communication Management Model in the Public Sector of Dubai
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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338
A discrete-time stochastic iterative learning control algorithm for a class of nonlinear systems
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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339
Part II.: Dissimilar friction stir welding of nickel titanium shape memory alloy to stainless steel – microstructure, mechanical and corrosion behavior
Published 2021“…<p dir="ltr">In the present work, nickel-titanium (NiTi) shape memory alloys (SMAs) is joined to 304 stainless steel (SS) using friction stir welding (FSW) using process parameters of 400 rpm and a constant tool translation speed of 75 mm/min. The macrostructure of the dissimilar weld showed some surface tunneling defects but there were regions of the weld that were defect free and without evidence of intermetallics at the interface. …”
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340
Deep Learning for Dynamic Wildlife Monitoring: A Real-Time Approach
Published 2025“…The parameters of the fine-tuned YOLOv11 decreased by 30% relative to the previous version, resulting in a very small model size of 5.5 MB and reduced processing time. …”