Machine Learning Models for Scheduling On-Demand Fog Placement and Optimizing Container Deployment by Farhat, Peter

“…However, due to the huge increase in the number of requests coming from end devices including IoT users, fog deployment and container placement must be scheduled to serve locations with high service requesting profiles while decreasing the cloud processing load. In this context, we first propose a fog placement model that allows to produce an adequate scheduling decision by using a hybrid technique combining time series forecasting and reinforcement learning. …”
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Effect of carbon nanotubes on the bonding mechanism of non-corrosive reinforcements to concrete by Alaa, Taha

“…Furthermore, the study calibrated two established analytical models, namely the CMR and BPE models, to account for the specific properties of the reinforcement bars and concrete materials used.…”
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Dynamic Properties of Water Confined in Graphene-Based Membrane: A Classical Molecular Dynamics Simulation Study by One-Sun Lee (1291293)

“…We also calculated the reorientational correlation time of the water molecules, and we found that the rotational motion of confined water inside the membrane is anisotropic and the reorientational correlation time of confined water is slower than that of bulk water. …”

Self-Organization and Multi-Agent Reinforcement Learning for Taxi Dispatch by Alshamsi Omran, Aamena Ali Ahmed

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A new quadratic asymmetric error correction model: does size matter? by Ayman Mnasri (16932486)

“…We also propose a test protocol that allows to rigorously identify different sources of long-run nonlinearity, namely quadratic nonlinearity, size asymmetry and sign asymmetry. …”

An Experimental Investigation of the Effects of Dressing and Grinding Parameters on Sustainable Grinding of Inconel 738 Used for Automated Manufacturing by Mohammadjafar Hadad (17541345)

“…<p dir="ltr">The significant effect of the dressing process on the surface of the grinding wheel (GW) and the need to provide an optimal dressing condition are the requirements of reduction machining time and energy consumption in the sustainable grinding process. …”

Effect of carbon nanotubes on the bonding mechanism of non-corrosive reinforcements to concrete by Alaa Taha (17302783)

“…Furthermore, the study calibrated two established analytical models, namely the CMR and BPE models, to account for the specific properties of the reinforcement bars and concrete materials used.…”

Corporate Diversification, Earnings Management, and Financial Statement Readability by El Mouttaqui, Hajar

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The effect of Hydrogen Peroxide treatments on dental enamel porosity and protein structure and its long-term implications on tooth hardness and optical properties by Ovidiu, Ciobanu

“…Hardness analysis revealed significant decreases in microhardness in the bleached group compared to the control group (p < 0.05). …”
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The effect of the local inertial term on the fluid flow in channels partially filled with porous material by Abu-Hijleh, B.A.

“…Also, it is found that the deviation between the predictions of the transient and the quasi-steady models is more significant in the porous domain and the deviation decreases as the time proceeds.…”
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Molecular Mechanisms of Adiponectin-Induced Attenuation of Mechanical Stretch-Mediated Vascular Remodeling by Crystal M. Ghantous (14571292)

“…Mechanically stretching the RPV significantly decreased APN protein expression after 24 hours and APN mRNA expression in a time-dependent manner in VSMCs. …”

The burden of prostate cancer in North Africa and Middle East, 1990–2019: Findings from the global burden of disease study by Mohsen Abbasi-Kangevari (9714440)

The effect of microbiome therapy on COVID-19-induced gut dysbiosis: A narrative and systematic review by Mahmoud Yousef (9900837)

“…These interventions reduced mortality rates, decreased hospital stays, improved oxygen saturation levels, alleviated gastrointestinal symptoms, enhanced immune response, and improved cognition.…”

The effect of Hydrogen Peroxide treatments on dental enamel porosity and protein structure and its long-term implications on tooth hardness and optical properties by Jelena Eric (21015107)

“…Hardness analysis revealed significant decreases in microhardness in the bleached group compared to the control group (<i>p </i> < 0.05). …”

Optoelectronic properties of highly porous silver oxide thin film by Ahmad Al-Sarraj (17151007)

“…The Ag₂O phase of silver oxide appears after 300 s of oxidation under the same conditions, while the optical transparency of the thin film decreases as plasma etching time increases. The sheet resistance of the final film is influenced by the oxidation time and the plasma application periodicity.…”

Positive regulation of oxidative phosphorylation by nuclear myosin 1 protects cells from metabolic reprogramming and tumorigenesis in mice by Tomas Venit (17248420)

“…These changes are associated with reduced OXPHOS gene expression, decreased mitochondrial DNA copy number, and deregulated mitochondrial dynamics, which lead to metabolic reprogramming of NM1 KO cells from OXPHOS to aerobic glycolysis.This, in turn, is associated with a metabolomic profile typical for cancer cells, namely increased amino acid-, fatty acid-, and sugar metabolism, and increased glucose uptake, lactate production, and intracellular acidity. …”

The Sources of Variance in the Helsinki Stock Exchange by Ben Sita, Bernard

“…Furthermore, inserting the ratio of volume expectation to duration expectation in the ARMA model and the vector error correction (VEC) model, we find that the short-term variance increases (decreases) when more (less) than 1 unit share is traded for 1 unit time.…”
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Processing Effects on the Oxytetracycline and Tylosin Antibiotic Residues in Middle Eastern Dairy Products by Saidy, Liz

“…OTC and TYL were not homogenously distributed between the dairy products. Skimming decreased significantly (p=0.015) TYL concentration by 68.6%. …”
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Stability enhancement of Al₂O₃, ZnO, and TiO₂ binary nanofluids for heat transfer applications by Ans Ahmed Memon (21633692)

“…X-ray diffraction and zeta potential were performed to characterize three nanoparticles, namely TiO₂, Al₂O₃, and ZnO. …”

PROACT: Parallel multi-miner proof of accumulated trust protocol for Internet of Drones by Mershad, Khaleel

“…In addition, we propose a new blockchain consensus mechanism in which several miners produce their blocks in parallel, which decreases the time needed to add transactions securely to the blockchain and meets the requirements of delay-sensitive applications. …”
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