High-sensitive detection and quantitation of thyroid-stimulating hormone (TSH) from capillary/fingerstick and venepuncture whole-blood using fluorescence-based rapid lateral flow i... by Samar, Shurbaji

“…These findings provide evidence that Finecare™ is a reliable, valid, and accurate point-of-care test for TSH screening and quantitative measurement, especially in non- or small laboratory settings.…”
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High-sensitive detection and quantitation of thyroid-stimulating hormone (TSH) from capillary/fingerstick and venepuncture whole-blood using fluorescence-based rapid lateral flow i... by Samar Shurbaji (9938696)

“…A subgroup analysis of abnormal TSH samples revealed a strong and significant correlation between the reference, Finecare™ whole-blood (r = 0.692; p = 0.0015), and fingerstick test Finecare™ (r = 0.66; p = 0.0025). …”

Modular MV Naturally Balanced Converter With High-Frequency Isolation and No DC-Link Capacitor for EV Fast Charging by Andrei Blinov (17983822)

“…<p dir="ltr">This article presents and verifies the concept of a converter for a medium-voltage (MV) electric vehicle (EV) charging station that employs high-frequency (HF) galvanic isolation and features no dc link capacitor. The system is based on multicell boost (MCB) topology; however, instead of a conventional two-stage configuration with dc link, isolated current source converter (iCSC)-based cells are used. …”

Hybrid Energy Management System For Electric Vehicles by Sharf, Hazem Magdi

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Determinants of Disordered Eating Patterns among an LGTBQ Community in Lebanon by Harb, Hana

“…Moreover, only body appreciation, generalized anxiety and fear of negative evaluation scales were significantly associated with disordered eating behaviors among different sexual orientation and gender identity individuals. …”
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Waste Classification for Sustainable Development Using Image Recognition with Deep Learning Neural Network Models by Meena Malik (17542089)

“…The architecture used for classification was EfficientNet-B0. These are compound-scaling based models proposed by Google that are pretrained on ImageNet and have an accuracy of 74% to 84% in top-1 over ImageNet. …”

Binary-NeRV: Hybrid-Precision Weights Binarization for Efficient Neural Video Representation by Shanableh, Tamer

“…In this work, we propose Binary-NeRV, a hybrid-precision extension of NeRV that integrates XNOR-based binary convolutions into the decoding pipeline to significantly reduce model size, bitrate, and computational complexity while reasonably preserving reconstruction fidelity. …”
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Analysis of the Capacitor-Less D-STATCOM for Voltage Profile Improvement in Distribution Network With High PV Penetration by Wesam Rohouma (16904871)

“…Traditional approaches like switched capacitors cannot provide reactive power that is continuously adjustable at short time scales. This paper examines an alternative distribution static synchronous compensator (D-STATCOM) based on a matrix converter (MC) for the low voltage distribution networks with high PV penetration. …”

Ultraliser: a framework for creating multiscale, high-fidelity and geometrically realistic 3D models for <i>in silico</i> neuroscience by Marwan Abdellah (4435360)

“…<h3>Abstract</h3><p dir="ltr">Ultraliser is a neuroscience-specific software framework capable of creating accurate and biologically realistic 3D models of complex neuroscientific structures at intracellular (e.g. mitochondria and endoplasmic reticula), cellular (e.g. neurons and glia) and even multicellular scales of resolution (e.g. cerebral vasculature and minicolumns). …”