Rising mortality related to cardiovascular disease and prostate cancer amongst older men across the United States by Abdul Ahad (545575)

“…</p><h3>Conclusion</h3><p dir="ltr">After decreasing death rates associated with CVD and PCa from 1999 to 2015, a reversal in the trend was observed from 2015 to 2019. …”

Kernel-Ridge-Regression-Based Randomized Network for Brain Age Classification and Estimation by Raveendra Pilli (21633287)

Two Analytical Models (with Infinite Buffer) for Evaluating Performance of Gigabit Ethernet Hosts by Salah, Khaled

“…The first model is based on Markov processes and queueing theory, while the second, which is more accurate but more complex, is a pure Markov process. …”
Get full text

Two Analytical Models for Evaluating Performance of Gigabit Ethernet Hosts with Finite Buffer by Salah, Khaled

“…The first model is based on Markov processes and queueing theory, while the second, which is more accurate but more complex, is a pure Markov process. …”
Get full text

Diabetic Foot Ulcer Detection: Combining Deep Learning Models for Improved Localization by Rusab Sarmun (17632269)

“…Our WBF-based approach combining YOLOv8m and FRCNN-ResNet101 achieves a mean average precision (mAP) score of 86.4% at the IoU threshold of 0.5 on the DFUC2020 dataset, significantly outperforming the former benchmark by 12.4%. …”

The Impact of Inquiry-based Learning on the Critical Thinking of high School Students by AZZAM, LILIAN ABDELNASSER

“…Explanatory sequential mixed-methods approach was utilized in the current study in which the data are collected and analyzed quantitatively first, and then qualitative data were collected in order to fully explain the quantitative data results The current study found that inquiry-based learning approach has a statistically significant positive impact on the high school students’ critical thinking in where the independent T-test results were for t (90) = 7 with a P value equals to 0.000 ˂ 0.05. …”
Get full text

GDLL: A Scalable and Share Nothing Architecture Based Distributed Graph Neural Networks Framework by Duong Thi Thu Van (19499206)

“…The base layer utilizes an optimized distributed file system and a scalable graph data store to reduce the performance penalty. …”

DiaNet v2 deep learning based method for diabetes diagnosis using retinal images by Hamada R. H. Al-Absi (16726299)

“…This study explores an alternative approach involving retinal images, building upon the DiaNet model, the first deep learning model for diabetes detection based solely on retinal images. …”

Metformin attenuates V-domain Ig suppressor of T-cell activation through the aryl hydrocarbon receptor pathway in Melanoma: In Vivo and In Vitro Studies by Fawaz E., Alanazi

“…VISTA and AHR levels were assessed by qPCR, Western blot, immunofluorescence microscope, flow cytometry, and immunohistochemistry. Here, metformin significantly decreased VISTA and AHR levels in vitro and in vivo. …”
Get full text
Get full text
Get full text

Follow up and comparative assessment of IgG, IgA, and neutralizing antibody responses to SARS-CoV-2 between mRNA-vaccinated naïve and unvaccinated naturally infected individuals ov... by Salma, Younes

“…At the 7th month, there was a significant decline in antibody responses among VN individuals, but not NI individuals, with a minimum decrease of 3.7-fold (p < 0.001). …”
Get full text
Get full text
Get full text

Assessing uncertainty in image-based monitoring: addressing false positives, false negatives, and base rate bias in structural health evaluation by Vagelis Plevris (14158863)

“…However, its reliability is impacted by challenges such as false positives, false negatives, and environmental variability, particularly in low base rate damage scenarios. The Base Rate Bias plays a significant role, as low probabilities of actual damage often lead to misinterpretation of positive results. …”

DNA Base-Calling Techniques by Odeh, Fadi

Get full text

An Integrated Model for Metaverse Adoption in Higher Education Institutions: A Structural Equation Modelling and Artificial Neural Network Approach by MAGHAYDAH, SAFWAN SULEIMAN MGHIED

“…Three research objectives were formulated based on this model, with subsequent sections providing results and explanations. …”
Get full text

Degree-Based Network Anonymization by Halawi, Ola

“…Our model suggests a convenient privacy level for each net- work based on the standard deviation of its degrees. …”
Get full text
Get full text
Get full text

AI-Based Multiclass Grading of Hepatic Steatosis From B-Mode Ultrasound: Generalization Across Modalities and Clinical Comparison With Radiologists by Fahad Muflih Alshagathrh (18427950)

“…To mitigate distribution shifts across scanners (LOGIQ, iU22, EPIQ), DDANN combines a MobileNetV2 backbone with triplet loss, entropy-based domain adaptation, and preprocessing that includes speckle suppression, percentile normalization, and LOGIQ-specific harmonization. …”

Evaluating the impact of the COVID-19 pandemic on the geospatial distribution of buildings' carbon footprints associated with electricity consumption by Esmat, Zaidan

“…The carbon footprint (CF) linked to electricity consumption in buildings has become a significant environmental issue because of its significant role in greenhouse gas emissions. …”
Get full text
Get full text
Get full text

Statistical Modelling and Correlation of Membrane Distillation Data by Hamdoon, Azza

Get full text

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

“…Simultaneous control of overhead and bottoms composition in a binary distillation column using reflux and steam flow as the manipulated variables often proves to be particularly difficult because of the interaction inherent in the process. The development of model based control (MPC) theory in the past 20-25 years has provided a framework which caters for the above distillation control problem. …”
Get full text
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

“…All the scenarios present increasing minimum and maximum temperatures and decreasing precipitation, except for RCP8.5, which predicted a more adverse trend. …”
Get full text
Get full text
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)

“…All the scenarios present increasing minimum and maximum temperatures and decreasing precipitation, except for RCP8.5, which predicted a more adverse trend. …”