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... by Rihab, Rasheed

“…There is an increasing drive for developing sustainable alternatives for fuels, foods, feeds, and chemicals. …”
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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)

“…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). …”

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

“…White noise excitation is assumed and the objective function is the mean square value of the primary system response function. …”
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Effect of the stretch rate during uniaxial testing on the mechanical properties of prolene by Ammouri, A.H.

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

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

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

“…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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Part II.: Dissimilar friction stir welding of nickel titanium shape memory alloy to stainless steel – microstructure, mechanical and corrosion behavior by Parker West (17268946)

“…<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. …”

Deep Learning for Dynamic Wildlife Monitoring: A Real-Time Approach by Abdul Basit Mughal (22929001)

“…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. …”

Communication-Based Adaptive Overcurrent Protection for Distribution Systems with DistributedGenerators by Sulaiman, Mohamad

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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)

“…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. …”

Innovative strategies to reduce traffic related injuries and deaths in youth by Joanne Banfield (19794507)

“…Attitudes towards risk taking in traffic have been correlated with aggressive driving behavior, speeding, and intention to commit traffic law violations. …”

Towards secure private and trustworthy human-centric embedded machine learning: An emotion-aware facial recognition case study by Muhammad Atif Butt (10849980)

“…Since the success of AI is to be measured ultimately in terms of how it benefits human beings, and that the data driving the deep learning-based edge AI algorithms are intricately and intimately tied to humans, it is important to look at these AI technologies through a human-centric lens. …”

Using Data Mining in CRM to Understand the Insurance Market by Qadadeh, Wafa

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Quality of palliative care. Perspective of Lebanese patients with cancer by Doumit, Myrna

“…The number of cancer patients in Lebanon is increasing, and patients are living longer due to early detection and enhanced methods of treatment. …”
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Comparison between Nonlinear Analysis and ACI Simplified Effective Stiffness Analysis Methods for Reinforced Concrete Frames Under Lateral Load by ELMUTASHY, HAJER

“…Conversely, employing the non-linear analysis method result in higher effective stiffness than simplified method by mean value of 1.36, 1.44 and 1.57 for frames with compressive strength 40,80 and 120mpa respectively. …”
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Adapted arithmetic optimization algorithm for multi-level thresholding image segmentation: a case study of chest x-ray images by Abu Zitar, Raed

“…Particularly in recent years, there has been increased interest in determining the ideal thresholding for picture segmentation. …”
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Nonlinear Control of Brushless Dual-Fed Induction Generator With a Flywheel Energy Storage System for Improved System Performance by Mohammed Hamidat (3722086)

“…After optimization, the SMC settling time was significantly reduced from 0.7 seconds to 19.97 milliseconds, achieving a 96.9% improvement in response speed, while its steady-state error decreased from 0.48 to 0.06, marking an 87.5% reduction in tracking error. …”

Optimization of Vapor Compression Refrigeration Cycles with Clathrate Hydrates Thermal Energy Storage by Gadalla, Akram Mohamed

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Diagnosing type 2 diabetes using Hemoglobin A1c: a systematic review and meta-analysis of the diagnostic cutpoint based on microvascular complications by Alexandra E. Butler (6189536)

“…</p><h3>Results</h3><p dir="ltr">Pooled mean prevalence was: 4.0%(95% CI: 3.2–5.0%) for retinopathy, 10.5% (95% CI: 4.0–19.5%) for nephropathy, 2.5% (95% CI: 1.1–4.3%) for neuropathy. …”