Modelling floodplain conveyance in compound channel flows by Chatila, Jean G.

“…Floodplain conveyance in compound channel flows is examined through applications of the dynamic flow routing model DWOPER to both laboratory and field data sets. …”
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Application and comparison of dynamic routing models for unsteady flow in simple and compound channels by Chatila, Jean Georges

“…The present research investigates the numerical modelling aspects of unsteady flow in compound channels, with special interest in the "flood plain conveyance" aspects. …”
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Novel platinum (II) and platinum (IV) complexes exhibit potent chemotherapeutic properties in breast and skin cancer models by Farah, Roudy

“…The present study aims to determine the chemotherapeutic properties of a novel platinum (II) compound AK3 and its platinum (IV) analogue AK4 in the treatment of chemically-induced breast and skin cancer models. …”
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Targeting acute myeloid leukemia cells with novel photosensitive ruthenium-based metal-organic compounds. (c2015) by Azar, Daniel Fadi

“…Furthermore, we have attempted to examine the photochemical potential of our metal-organic compound model by combining L-II and L-III in the same metal complex, thus generating four final complexes with differing net charges (from +2 to -4), and examining their activities on a panel of AML cell lines with or without exposure to blue light. …”
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Prediction of the Backwater Level Due to Bridge Constriction in Waterways by Assar, Kimia Haji Amou

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Mixed precision iterative refinement with adaptive precision sparse approximate inverse preconditioning by Noaman Khan (19810050)

“…<p dir="ltr">Hardware trends have motivated the development of mixed precision algorithms in numerical linear algebra, which aim to decrease runtime while maintaining acceptable accuracy. …”

Assessment and Performance Analysis of Machine Learning Techniques for Gas Sensing E-nose Systems by Mahmood, Lubna Syeda

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Evaluation of light-activated Ru(II) prodrugs and their photoproducts as potential anti-cancer agents by Elias, Maria

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Serum 25-hydroxyvitamin D concentrations are inversely associated with body adiposity measurements but the association with bone mass is non-linear in postmenopausal women by Vijay, Ganji

“…In a continuous variable analysis, the association between 25(OH)D and bone mass was significant, non-linear, inverse ‘U’. In conclusion, serum 25-hydroxyvitamin D was inversely associated with adiposity measures and non-linearly associated to bone mass in postmenopausal Qatari women.…”
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Serum 25-hydroxyvitamin D concentrations are inversely associated with body adiposity measurements but the association with bone mass is non-linear in postmenopausal women by Vijay Ganji (8710491)

“…In a continuous variable analysis, the association between 25(OH)D and bone mass was significant, non-linear, inverse ‘U’. In conclusion, serum 25-hydroxyvitamin D was inversely associated with adiposity measures and non-linearly associated to bone mass in postmenopausal Qatari women.…”

Unveiling the Chemotherapeutic Potential of Novel Platinum II and Platinum IV Complexes in Skin and Breast Cancers: In Vitro and In Vivo Insights by Slika, Amjad

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The effect of indoor air quality on health and performance of labors in joinery factories by Sadeghi, Hengameh

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Characteristics and health implications of fine particulate matter near urban road site in Islamabad, Pakistan by Sabir Hussain (1332675)

“…The study also identified the presence of semi-volatile organic compounds (SVOCs) in PM2.5 samples, including <u>polycyclic aromatic hydrocarbons</u> (PAHs) and <u>phenolic compounds</u>, with notable variations in their concentrations. …”

Analyzing the Influence of Climate and Anthropogenic Development on Vegetation Cover in the Coastal Ecosystems of GCC by Abhilash Dutta Roy (22466830)

“…Our results revealed significant changes in land cover, as seen by an increase in artificial built-up areas by 15.5% in two decades and a corresponding decrease in bareland and dense vegetation. …”

Waste Classification for Sustainable Development Using Image Recognition with Deep Learning Neural Network Models by Meena Malik (17542089)

“…It was shown that such a model had comparable accuracy to that of EfficientNet-B3, however, with a significantly smaller number of parameters required by the B3 model. …”

Scatter search for protein structure prediction. (c2008) by Kehyayan, Christine Houry

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Preterm birth in low-middle income Countries by Alim, Swarray-Deen

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Machine Learning based Model Reveals the Metabolites Involved in Coronary Artery Disease by Fathima Lamya (22565261)

“…</p><h3>Methods</h3><p dir="ltr">This article presents machine learning (ML) based model that can recognize metabolomic compounds associated with CAD in the Qatari population for the early detection of CAD. …”

An experimental in vitro model for dynamic direct exposure of human cells to airborne contaminants by Khalil, Christian

“…Nitrogen dioxide (NO2) was selected as a model gas compound. Standard test atmospheres were generated (2.5–10 ppm), using a dynamic direct dilution method. …”
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Combined experimental and computational investigations of the fluorosolvatochromism of chromeno[4,3-b]pyridine derivatives: Effect of the methoxy substitution by Mohanad Shkoor (3768385)

“…Furthermore, derivative II exhibited a fluorescence spectrum that is significantly influenced by the polarity of the medium. …”