Virtual topologies for massively parallel computations. (c2015) by Jahed, Karim A.

“…Massively parallel computations that are based on such algorithms often suffer from a large communication overhead due to the exponential growth in the number of tasks generated at each search-tree level. …”
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Hydrogen Sulfide (H₂S) Sensor: A Concept of Physical Versus Virtual Sensing by Ahmed Alsarraj (16876014)

“…To overcome the limitations of producing physical sensor arrays, this article proposes a concept of virtual sensing that enables to augment a single sensing platform into a virtual array, thus, increasing the detection accuracy at no extra cost of producing a large physical sensors array. …”

An enhanced k-means clustering algorithm for pattern discovery in healthcare data by Haraty, Ramzi A.

“…Mainly, we study k-means clustering algorithms on large datasets and present an enhancement to k-means clustering, which requires k or a lesser number of passes to a dataset. …”
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355-nm photodissociation of CH4 and production ofhydrogen by Gondal, M.A.

“…The ethylene and propylene are raw materials for producing polyethylene and polypropylene and the demand for these polymers is increasing at an immense growth rate. In spite of many research programs, there is no direct conversion process so far reported which is capable of large scale production of these products from methane which could be described as high yield and highly selective process. …”
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Design, Evaluation and Techno-Economic Analysis of a Hybrid Solar-Wind Power Generation System in UAE by Kulkarni, Chaitanya Bipin

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ADD. (c2002) by Varjabedian, Ralph A.

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A new method for broad‐scale modeling and projection of plant assemblages under climatic, biotic, and environmental cofiltering by Alessandro Ferrarini (3951098)

“…We applied our model to a large set of plant communities in the Swiss Alps. …”

Modulation of Human Valve Interstitial Cell Phenotype and Function Using a Fibroblast Growth Factor 2 Formulation by Najma Latif (250130)

“…Some VICs and some valve endothelial cells expressed FGF2 in valve tissue and this expression was increased in calcified valves. VICs in DMEM exhibited large, spread cells whereas VICs in fibroblast media were smaller, elongated and spindly. …”

Impact of the COVID-19 pandemic on sexually transmitted infection testing and diagnosis in Lebanon: A retrospective chart review by Sunji, Nadine

“…We explore the impact of the pandemic on SHS delivery and the diagnosis rate of sexually transmitted infections (STIs) among attendees of a large sexual health clinic in Beirut, Lebanon. …”
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A critical review on the practical use of lithium cycle as an upfront nitrogen removal technology from natural gas by Abdullah Omar (6468326)

“…Upfront nitrogen removal (UNR) before the LNG plant's cold section is considered a promising option to save energy that would otherwise be wasted to cool down a large volume of unused nitrogen in the gas stream. …”

Challenges and opportunities in biogas conversion to microbial protein: A pathway for sustainable resource recovery from organic waste by Hafiz Muhammad Aamir Shahzad (6687767)

“…Despite advancements, challenges such as inefficient fermenters, MOB inhibition, and safety issues hinder large-scale MP production. Further investigation into the life cycle assessment (LCA) and techno-economic analysis (TCA) of these integrated technologies is essential for enhancing and establishing a sustainable MP production system.…”

Exploring the dynamics of algae-associated microbiome during the scale-up process of Tetraselmis sp. microalgae: A metagenomics approach by Hoda, Hosseini

“…Microbial profiling of each successive stage revealed lower abundance of eukaryotic organisms, whereas bacterial abundance increased notably resulting in a significant decrease in Tetraselmis sp. abundance. …”
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Adaptation of a Mice Doppler Echocardiography Platform to Measure Cardiac Flow Velocities for Embryonic Chicken and Adult Zebrafish by Fatiha M. Benslimane (6695087)

“…It enables practical real time visualization in a non-invasive manner, making the modality especially useful to image dynamic cardiac structures. …”

Exploring the dynamics of algae-associated microbiome during the scale-up process of Tetraselmis sp. microalgae: A metagenomics approach by Hoda Hosseini (16932462)

“…Microbial profiling of each successive stage revealed lower abundance of eukaryotic organisms, whereas bacterial abundance increased notably resulting in a significant decrease in Tetraselmis sp. abundance. …”

Simulation study of a coincidence detection system for non-invasive determination of arterial blood time-activity curve measurements by Yassine Toufique (8252550)

“…Addition of extra axial detection rings to the half-ring configuration provided increases in system sensitivity by a factor of approximately 10.…”

Predictors of mortality and morbidity in critically ill COVID‐19 patients: An experience from a low mortality country by Mohamad Y. Khatib (11659459)

“…We sought to determine these in a large cohort of critically ill COVID-19 patients in Qatar and explore the early mortality predictors. …”

A comprehensive review of hydrogen generation by water splitting using 2D nanomaterials: Photo vs electro-catalysis by Fares Almomani (12585685)

“…As a result, their use as electro and photo-catalysts in W<i>sp</i> to solve energy and environmental challenges has increased. …”

Performance analysis of a new PV array reconfiguration approach: Simulations and outdoor experiments under fixed and moving shadows by Abinisha Thiruchuthan (23073046)

“…<p dir="ltr">Partial shading can significantly impair photovoltaic (PV) array performance in large-scale systems, by reducing power output and increasing the complexity of wiring and maintenance. …”

Reduced HDL-cholesterol in long COVID-19: A key metabolic risk factor tied to disease severity by Jamila, Al-Zadjali

“…Findings indicated significant metabolic shifts in severe Long-COVID-19 cases, mainly a marked drop in HDL-C levels and a doubled increase in ferritin levels and insulin resistance compared to the mild cases and controls. …”
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Malware detection for mobile computing using secure and privacy-preserving machine learning approaches: A comprehensive survey by Faria Nawshin (21841598)

“…Training the model with a diversified dataset is necessary to predict new malware accurately. …”