Deep random vector functional link transformer network with multiple output layers for significant wave height forecasting حسب Aryan Bhambu (18767731)

"…This paper introduces a novel random vector functional link transformer (RFT) and ensemble deep random vector functional link transformer (edRFT) networks to capture the dynamic characteristics of significant wave heights. …"

An Efficient Test Vector Compression Technique Based on Geometric Shapes حسب Al Zahir, Saif

"…The proposed scheme is based on ordering the test vectors in such a way that enables the generation of geometric shapes that can be highly compressed via perfect lossless compression. …"
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Notch Signaling Inhibition by LY411575 Attenuates Osteoblast Differentiation and Decreased Ectopic Bone Formation Capacity of Human Skeletal (Mesenchymal) Stem Cells حسب Nihal AlMuraikhi (6002234)

"…Among the tested molecules, LY411575, a potent γ-secretase and Notch signaling inhibitor, exhibited significant inhibitory effects on osteoblastic differentiation of hBMSCs manifested by reduced ALP activity, mineralized matrix formation, and decreased osteoblast-specific gene expression as well as in vivo ectopic bone formation. …"

Differential Flatness-Based Performance Enhancement of a Vector Controlled VSC With an LCL-Filter for Weak Grids حسب Hassan Abdullah Khalid (16891473)

"…<p>In this paper, a novel single-loop flatness-based controller (FBC) is proposed to control the grid-side current in a shunt converter connected to a weak grid through an LCL-filter. …"

On Test Vector Reordering for Combinational Circuits حسب El-Maleh, Aiman H.

"…In this paper, we propose an efficient test vector reordering technique that significantly reduces both the time and memory complexities of reordering procedures based on fault simulation without dropping. …"
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On test vector reordering for combinational circuits حسب El-Maleh, A.H.

"…In this paper, we propose an efficient test vector reordering technique that significantly reduces both the time and memory complexities of reordering procedures based on fault simulation without dropping. …"
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Mapping subnational HIV mortality in six Latin American countries with incomplete vital registration systems حسب Local Burden of Disease HIV Collaborators (13279180)

"…</p><h3>Conclusions</h3><p dir="ltr">Our subnational estimates of HIV mortality revealed significant spatial variation and diverging local trends in HIV mortality over time and by age. …"

Hedonic valuation of land protection methods: implications for cluster development. حسب Kling, Robert

"…The key findings of the study are: (i) proximity to national or state park land and to city or county open space has a significant positive impact on property values, while proximity to national forest land or to privately conserved land exhibits no significant effects; and, (ii) inclusion of a property within a cluster development decreases its value by 17 to 26 %. …"
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Ensemble Deep Random Vector Functional Link Neural Network for Regression حسب Minghui Hu (2457952)

"…<p dir="ltr">Inspired by the ensemble strategy of machine learning, deep random vector functional link (dRVFL), and ensemble dRVFL (edRVFL) has shown state-of-the-art results on different datasets. …"

Hemodynamics of small aneurysm pairs at the internal carotid artery حسب Jou, Liang-Der

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A slow but steady nanoLuc: R162A mutation results in a decreased, but stable, nanoLuc activity حسب Wesam S. Ahmed (10170053)

"…In this regard, engineering of brighter bioluminescent proteins, i.e. luciferases, has played a significant role. This is acutely exemplified by the engineering of the NLuc <u>luciferase</u>, which is small in size and displays much enhanced bioluminescence and<u> thermal stability</u> compared to previously available luciferases. …"

An enhanced ensemble deep random vector functional link network for driver fatigue recognition حسب Ruilin Li (5627456)

"…<p>This work investigated the use of an ensemble deep random vector functional link (edRVFL) network for electroencephalogram (EEG)-based driver fatigue recognition. …"

SARS‐CoV‐2 infection triggers more potent antibody‐dependent cellular cytotoxicity (ADCC) responses than mRNA‐, vector‐, and inactivated virus‐based COVID‐19 vaccines حسب Hadeel T. Zedan (12535521)

"…We analyzed ADCC activity targeting SARS‐CoV‐2 spike (S) and nucleocapsid (N) proteins in convalescent sera following WT SARS‐CoV‐2‐infection (<i>n</i> = 91), including symptomatic and asymptomatic infections, omicron‐infection (<i>n</i> = 8), COVID‐19 vaccination with messenger RNA‐ (mRNA)‐ (BNT162b2 or mRNA‐1273, <i>n</i> = 77), adenovirus vector‐ (<i>n</i> = 41), and inactivated virus‐ (<i>n</i> = 46) based vaccines, as well as post‐mRNA vaccination BTI caused by omicron (<i>n</i> = 28). …"

Both decreasing interstructural space size and increasing total cover increase shrimp abundance on artificial structures deployed in a UAE seagrass bed حسب Bartholomew, Aaron

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Small molecule inhibition of stat3 enhances survival in mice with intracerebral melanoma حسب Abou-Ghazal, Mohamed

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The Impact of Capital Formation on Economic Diversification in GCC Countries—Empirical Analysis Based on the PVAR Model حسب Abdulrahman M. Jolo (19365460)

Predicting long-term type 2 diabetes with support vector machine using oral glucose tolerance test حسب Hasan T. Abbas (8115014)

"…Data generated from an oral glucose tolerance test (OGTT) was used to develop a predictive model based on the support vector machine (SVM). We trained and validated the models using the OGTT and demographic data of 1,492 healthy individuals collected during the San Antonio Heart Study. …"

Interval-Valued SVM Based ABO for Fault Detection and Diagnosis of Wind Energy Conversion Systems حسب Majdi Mansouri (16869885)

"…The developed techniques are based on Support Vector Machine (SVM) model to improve the diagnosis of WEC systems. …"

Suppression of Unstable Flow by Using Rough Surfaces at Small Mass Flow Rates in a Radial Diffuser حسب Salem, Hayder

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Hyperspectral-physiological based predictive model for transpiration in greenhouses under CO₂ enrichment حسب Ikhlas Ghiat (16932564)

"…The results demonstrated the inclusion of hyperspectral-based vegetation indices significantly increased the performance of the three machine learning models in predicting transpiration. …"