A slow but steady nanoLuc: R162A mutation results in a decreased, but stable, nanoLuc activity by 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. …”

“Extending the Technology Acceptance Model (TAM) to Predict University Students’ Intentions to Use Metaverse-Based Learning Platforms” by Ahmad Samed Al-Adwan (12048279)

A Diffusion-Based Probabilistic Ultra-Short-Term Solar Power Prediction Using the Sky Image Sequences by Razieh Rastgoo (22457767)

“…Additionally, we propose a novel loss function based on Variational Inference and the Evidence Lower Bound (ELBO) to improve uncertainty quantification and prediction accuracy. …”

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

“…Neural networks help address this issue by extracting meaningful patterns from past observations to improve wave height predictions. 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. …”

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

Get full text

Optimizing pre-copy live virtual machine migration in cloud computing using machine learning-based prediction model by Raseena M. Haris (17773470)

“…To mitigate this issue, we introduce a prediction-based approach that optimizes the migration process by dynamically halting the iteration phase when the predicted downtime falls below a predefined threshold. …”

Accelerating the Design of Photocatalytic Surfaces for Antimicrobial Application: Machine Learning Based on a Sparse Dataset by Heesoo Park (1604989)

“…This machine-learning-assisted strategy offers the opportunity to reduce the cost, labor, time, and precursors consumed during experiments that are based on trial and error. Our strategy may significantly accelerate the large-scale deployment of photocatalysts as a promising route to mitigate fomite transmission of pathogens (bacteria, viruses, fungi) in hospital settings and public places.…”

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

Get full text
Get full text
Get full text

The significance of general skills training for early career graduates: relationships with perceived organizational support, job satisfaction and turnover intention by Pinnington, Ashly

“…This study also found significant evidence for serial mediation by POS on PGST and its relationship with turnover intention. …”
Get full text

Prediction of CO₂ uptake in bio-waste based porous carbons using model agnostic explainable artificial intelligence by Mohd Azfar Shaida (19756971)

Evolutionary algorithm for protein structure prediction by Mansour, Nashat

“…The protein structure prediction problem has real-world significance where several diseases are associated with the wrong folding of proteins. …”
Get full text
Get full text
Get full text
Get full text

ESDD Prediction of Outdoor Polymer Insulators by Khaled, Abdelrahman

Get full text

Enhanced event-based surveillance: Epidemic Intelligence from Open Sources (EIOS) during FIFA World Cup 2022 Qatar by Mohamed, Sallam

Get full text
Get full text
Get full text

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

Get full text

Model predictive control of shell benchmark process by Amjad, S.

“…MPC technology has penetrated a significant portion of the process industries and harvested large economical benefits. …”
Get full text
Get full text

Predicting stability of classes in an object-oriented system by Azar, D.

“…Nonetheless, it can be predicted based on other measurable software attributes such as cohesion, coupling, and complexity. …”
Get full text
Get full text
Get full text

Cloud-based deep learning-assisted system for diagnosis of sports injuries by Xiaoe Wu (17541951)

Role of nutritional indices in predicting outcomes of vascular surgery by Jabbour, Jana

“…We aimed to assess the combined use of recent significant weight loss (>10% body mass) and serum albumin levels as a nutritional status index to predict outcomes. …”
Get full text
Get full text
Get full text
Get full text

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

Get full text
Get full text

Inverse Model Predictive Control for Power Electronic Converters by Ali Sharida (17947847)

“…The proposed IMPC technique is primarily based on the inverse of the conventional finite set model predictive control. …”