Experimental Validation of Numerical Model for Thermomechanical Performance of Material Extrusion Additive Manufacturing Process: Effect of Process Parameters by Ans Al Rashid (14777050)

“…<div><p>The material extrusion additive manufacturing (MEAM) process for polymers seems straightforward. …”

On the laser additive manufacturing of high-entropy alloys: A critical assessment of in-situ monitoring techniques and their suitability by Muhammad Arif Mahmood (17869409)

“…Introducing the laser additive manufacturing (LAM) technique as a viable fabrication process of HEAs provides many advantages over traditional methods. …”

Sequence conservation and variability of imprinting in the Beckwith–Wiedemann syndrome gene cluster in human and mouse by El-Maarri, Osman

“…One of these clusters encompasses an additional gene coding for a homologue of the ribosomal protein L26. …”
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Night-to-night variability of objective sleep outcomes in youth Middle Eastern football players by Lorenzo Lolli (4101586)

“…The night measurement-by-fragmented sleep period interaction SD was ±83 min (95%CI, 44 to 156 min) for time in bed, ±67 min (95%CI, 34 to 131 min) for time asleep, and ±15 min (95%CI, 7 to 32 min) for wake-after-sleep-onset that accounted for ∼22% to 32% of each sleep outcome measure overall variability. </p><h3>Conclusions</h3><p dir="ltr">Substantial random night-to-night within-subject variability poses additional challenges for strategies aiming to mitigate problems of insufficient and inconsistent sleep that are detrimental to school learning and youth athlete development processes.…”

Epstein–Barr Virus Epidemiology, Serology, and Genetic Variability of LMP-1 Oncogene Among Healthy Population: An Update by Maria K. Smatti (4675852)

“…Although the process of leukoreduction decreases the viral copies present in the leukocytes, it does not eliminate the risk of EBV transmission through blood products. …”

Process Targeting With Multi-Class Screening And Measurement Error by Duffuaa, S. O.

“…This model considers cut-off points as decision variables. In addition, an illustrative example is presented that compares model performance with the model presented in Min and Jang (1997). …”
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Optimization of Natural Gas Liquid (NGL) Recovery processes by Swaidan, Balsam Tawfiq

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CO₂ capture and ions removal through reaction with potassium hydroxide in desalination reject brine: Statistical optimization by Aya A.-H.I. Mourad (17151085)

“…Response surface methodology (RSM) analysis using the central composite design (CCD) approach was implemented to statistically determine the impact of important operating conditions, including KOH concentration (30–110 g/l), CO₂ gas flow rate (400–1600 ml/min), gauge pressure (1–3 barg), and temperature (10–50 ^◦C) on key response process output variables, such as CO₂ uptake and ions reduction. …”

Optimization of p-chart for Processes with Multiple Assignable Causes and Random Shift by Mohammed, Emad Aldin Mohammed Abdelkreem

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Monitoring the Athlete Match Response: Can External Load Variables Predict Post-match Acute and Residual Fatigue in Soccer? A Systematic Review with Meta-analysis by Karim Hader (2548618)

“…In addition, total distance covered is not sensitive enough to inform decision-making during the fatigue monitoring process.…”

Non-Linear Profile Monitoring Using Artificial Neural Network Fault Detection by Mohamed, Ahmed Fares

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Red Beet Process Waste: A Sustainable Glucose Syrup Alternative for Gummy Confectionery by Tahra ElObeid (22504391)

“…A Custom Mixture Design (<i>n</i> = 14) tested CD‐RBLW, glucose syrup, and gelatin as independent variables. In addition, gummy samples were stored under accelerated shelf‐life conditions (25°C/70% relative humidity [RH]) for 8 weeks, and changes in hardness, color difference (<i>∆E</i>), moisture content, and water activity values were monitored. …”

Developing IoT Sustainable Real-time Monitoring Devices for Food Supply Chain Systems based on Climate Change using Circular Intuitionistic Fuzzy Set by A. Alsattar, Hassan

“…Hence, modelling effective IoT real time monitoring devices to minimise food loss and waste to support supply chain systems is crucial during natural disasters. This modelling process can be classified as multiple-attribute decision-making (MADM) given three issues: the existence of multiple sensing parameter attributes, the uncertainty related to the relative importance of these attributes and the variability of data. …”
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Customer Driven Project Management in the service sector in UAE: Integrating quality in to project management processes by Alhaji, Ala Aldeen

“…This research focus on the relationship between quality management and quality tools and project management processes and performance, in addition to that it elaborate about how quality tools can be used to improve project management within UAE Organizations. …”
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Estimating hydrogen absorption energy on different metal hydrides using Gaussian process regression approach by Majedeh Gheytanzadeh (17541927)

“…A robust Gaussian process regression (GPR) approach with four kernel functions is proposed to predict the hydrogen absorption energy based on the inputs. …”

Contribution of Soft Skills Set of Project Managers on the Benefits Realization Management Process in the Construction Industry in UAE by Ensari, Suleyman

“…Descriptive research design is considered to explain variations in the dependent variable, benefit realization management process by independent variables selected soft skills of project managers. …”
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Shades of sustainability: A comprehensive analysis of the carbon footprint in conventional blue ammonia and urea manufacturing processes by Hussein Al-Yafei (22134949)

“…Through sensitivity analysis, the impact of feed gas composition on emissions and production efficiency was explored, identifying key process variables influencing sustainability outcomes. …”

The influence of the supportive learning environment on the association between the knowledge management processes and continuous innovation in the UAE financial sector by ALSHAMSI, NOORA MOHAMMED SAEED

“…For example, relationships between knowledge processes variables and continuous innovation variables were inspected using Pearson Correlation tests. …”
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On the selection of constitutive equation for modeling the friction stir processes of twin roll cast wrought AZ31B by Ammouri, A.H.

“…While some such equations may be perfectly suitable to simulate processes characterized by low (or high) strains and temperatures, FSPs are widely recognized for their relatively moderate ranges of such state variables. …”
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Artificial Intelligence to Enhance the Drilling of Composites by Al Alami, Ibrahim

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