An investigation into links between UAE STI Policy and the Federal Universities STEM Majors’ Enrolments, Graduates and Research Development: an evidence-based exploration of the im... by Khreibi, Rima Abou

“…HCT STEM majors’ graduates showed no significant differences from AY 2010 to the AY 2017; the latter shows that although STEM enrolments have increased in HCT, graduates of STEM are consistent and unchanged, meaning that somewhere during their tertiary education, students are not continuing their studies in STEM majors. …”
Get full text

Modeling the influence of daily temperature and precipitation extreme indices on vegetation dynamics in Katsina State using statistical downscaling model (SDM) by Mohammad Hadi Ahmad (17632248)

“…<p>Climate change significantly impacts local, regional, and global vegetation changes. …”

Transcriptome Profile Identifies Actin as an Essential Regulator of Cardiac Myosin Binding Protein C3 Hypertrophic Cardiomyopathy in a Zebrafish Model by Sahar Isa Da’as (18288880)

Unsteady flow of silica nanofluid over a stretching cylinder with effects of different shapes of nanoparticles and Joule heating by Ramzan Ali (17541780)

Food fraud detection using explainable artificial intelligence by Okan Buyuktepe (17991493)

A High‐Performance MPPT Solution for Solar DC Microgrids: Leveraging the Hippopotamus Algorithm for Greater Efficiency and Stability by Debabrata Mazumdar (18560506)

Deletion of <i>RFX6</i> impairs iPSC-derived islet organoid development and survival, with no impact on PDX1⁺/NKX6.1⁺ progenitors by Noura Aldous (15429873)

Global, regional, and national progress towards Sustainable Development Goal 3.2 for neonatal and child health: all-cause and cause-specific mortality findings from the Global Burd... by Katherine R Paulson (8674293)

“…NMR and U5MR were generally higher in males than in females, although there was no statistically significant difference at the global level. Neonatal disorders remained the leading cause of death in children younger than 5 years in 2019, followed by lower respiratory infections, diarrhoeal diseases, congenital birth defects, and malaria. …”

Exploiting the Spatio-Temporal Patterns in IoT Data to Establish a Dynamic Ensemble of Distributed Learners by Mehdi Mohammadi (5024105)

Prediction of evaporation losses in wet cooling towers by QURESHI, BILAL AHMED

Get full text

Deep aging clocks: AI-powered strategies for biological age estimation by Luma Srour (22254409)

3-D Full-Vectorial Analysis of Strong Optical Waveguide Discontinuities Using Pade Approximants by Jamid, H.A.

Get full text
Get full text

Human Action Recognition: A Taxonomy-Based Survey, Updates, and Opportunities by Md Golam Morshed (19420537)

“…A significant increase in feature learning-based representations for action recognition has emerged in recent years, due to the widespread use of deep learning-based features. …”

Successive interference cancellation using stage dependent decision functions by Bentrcia, A.

Get full text
Get full text

Differing endometrial expression of calcium modulating transient receptor potential channels by Maryam Ghavideldarestani (11862563)

A multi-targeted approach to identify potential flavonoids against three targets in the SARS-CoV-2 life cycle by Sanjay Kumar (8853)

“…By examining the effects of glycosylation and other structural-activity relationships, the presence of sugar moiety in flavonoids significantly reduces its binding energy. It increases the solubility of flavonoids leading to reduced toxicity and higher bioavailability. …”

Strain response of hot-mix asphalt overlays for bottom-up reflective cracking by Ghauch, Ziad G.

Get full text
Get full text
Get full text
Get full text

Addressing Challenges of Distance Learning in the Pandemic with Edge Intelligence Enabled Multicast and Caching Solution by Kashif Bilal (16896357)

Multicast at Edge: An Edge Network Architecture for Service-Less Crowdsourced Live Video Multicast by Kamran Zahoor (16896354)

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

“…Our numerical experiments show that this approach can potentially lead to a reduction in the cost of storing and applying sparse approximate inverse preconditioners, although a significant reduction in cost may comes at the expense of increasing the number of GMRES iterations required for convergence.…”