Micro-Expression Recognition using Convolutional Variational Attention Transformer (ConVAT) with Multihead Attention Mechanism by Hafiz Khizer bin Talib (20571467)

“…To address these limitations, we propose the Convolutional Variational Attention Transformer (ConVAT), a novel model that leverages a multi-head attention mechanism integrated with convolutional networks, optimized specifically for detailed micro-expression analysis. …”

Dual-attention Network for View-invariant Action Recognition by Gedamu Alemu Kumie (19273711)

“…The DANet is composed of relation-aware spatiotemporal self-attention and spatiotemporal cross-attention modules. …”

Significance of Avicennia Marina in the Arabian Gulf Environment: A Review by Kaiprath Puthiyapurayil Haseeba (21392966)

“…This review addresses the current knowledge gap by providing an overview of Avicennia marina distribution in the Gulf, exploring the significance of its ecosystem services, analyzing the impacts of stressors, and examining conservation and restoration efforts, with attention to nature-based and biotechnological approaches for promoting mangrove growth and conservation in the Gulf.…”

Efficient self-attention with smart pruning for sustainable large language models by Samir Brahim Belhaouari (9427347)

“…However, their high computational demands result in significant environmental impacts, particularly in terms of energy and water consumption. …”

Hierarchical multi-head attention LSTM for polyphonic symbolic melody generation by Ahmet Kasif (17787560)

“…As such, in this study, a hierarchical multi-head attention LSTM model is proposed for creating polyphonic symbolic melodies. …”

Social attention as a cross‐cultural transdiagnostic neurodevelopmental risk marker by Thomas W. Frazier (4229593)

“…The best-fitting model included a general social attention factor and six specific factors. Cultural differences in social attention were minimal and social attention was stable across age (<em>r</em> = 0.03), but females showed significantly greater social attention than males (d = 0.28). …”

An End-to-End Concatenated CNN Attention Model for the Classification of Lung Cancer With XAI Techniques by Fariha Haque (21485518)

“…<p dir="ltr">In the field of medical imaging, deep learning (DL) techniques have made significant contributions to the detection and classification of various cancers. …”

The Effects of Visual Stimuli on Attention in Children With Autism Spectrum Disorder: An Eye-Tracking Study by Bilikis Banire (14158833)

“…The results show that social and nonsocial stimuli do not affect the attention of ASD and TD children. However, TD children pay significantly greater attention to target stimuli than children with ASD. …”

Awareness and education are the most significant elements for safe driving behavior and better life quality by Amal Abdul Aziz Sabri (19772844)

Board changes and CEO turnover by Dah, Mustafa A.

“…For firms that decrease independence, the CEO turnover performance sensitivity significantly decreases following SOX. …”
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Impact of mainstream classroom setting on attention of children with autism spectrum disorder: an eye-tracking study by Bilikis Banire (14158833)

“…Our results showed that children with ASD exhibit similar gaze behaviors to TD children, but with significantly lower performance scores and SFC on the target AOI. …”

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

“…<p dir="ltr">NanoLuc (NLuc) <u>luciferase</u> has found extensive application in designing a range of <u>biologica</u><u>l</u><u> assays,</u> including <u>gene expression analysis</u>, protein-protein interaction, and protein conformational changes due to its enhanced brightness and small size. …”

Bi-attention DoubleUNet: A deep learning approach for carotid artery segmentation in transverse view images for non-invasive stenosis diagnosis by Najmath Ottakath (17430912)

“…This paper proposes an automated segmentation method for the carotid artery in transverse B-mode ultrasound images, using a Bi-attention DoubleUnet architecture which incorporates spatial attention and channel wise attention using Bottleneck attention module. …”

Breaking up prolonged sitting with moderate-intensity walking improves attention and executive function in Qatari females by Bryna C. R. Chrismas (6820142)

PredictPTB: an interpretable preterm birth prediction model using attention-based recurrent neural networks by Rawan AlSaad (14159019)

“…</p><h2>Other Information</h2><p dir="ltr">Published in: BioData Mining<br>License: <a href="https://creativecommons.org/licenses/by/4.0" target="_blank">https://creativecommons.org/licenses/by/4.0</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1186/s13040-022-00289-8" target="_blank">https://dx.doi.org/10.1186/s13040-022-00289-8</a></p>…”

Temporal self-attention for risk prediction from electronic health records using non-stationary kernel approximation by Rawan AlSaad (14159019)

“…Yet, modeling the non-stationarity in EHR data has received less attention. Most existing studies follow a strong assumption of stationarity in patient representation from EHRs. …”

MACGAN: An All-in-One Image Restoration Under Adverse Conditions Using Multidomain Attention-Based Conditional GAN by Maria Siddiqua (17949149)

“…Furthermore, an ablation study is conducted to analyze the contributions of the discriminator and attention blocks within the MACGAN architecture. The results confirm that both components play significant roles in the effectiveness of MACGAN, with the discriminator ensuring adversarial training and the attention blocks effectively capturing and enhancing important image features.…”

Notch Signaling Inhibition by LY411575 Attenuates Osteoblast Differentiation and Decreased Ectopic Bone Formation Capacity of Human Skeletal (Mesenchymal) Stem Cells by Nihal AlMuraikhi (6002234)

“…Global gene expression profiling of LY411575-treated cells revealed changes in multiple signaling pathways, including focal adhesion, insulin, TGFβ, IL6, and Notch signaling, and decreased the expression of genes associated with functional categories of tissue development. …”

Vocal Changes in Patients With Polycystic Ovary Syndrome by Hannoun, Antoine

“…There was no statistically significant difference in the acoustic parameters except for an increase in the relative average perturbation (P value = 0.035) and a decrease in maximum phonation time (P value = 0.001) in patients with PCOS. …”
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A hybrid 3D CNN-LSTM model with soft spatial attention mechanism for accurate hyperspectral image classification by Mohamed Sultan Mohamed Ali (17317003)

“…</p><h2>Other Information</h2> <p> Published in: Remote Sensing Applications: Society and Environment<br> License: <a href="http://creativecommons.org/licenses/by/4.0/" target="_blank">http://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1016/j.rsase.2025.101779" target="_blank">https://dx.doi.org/10.1016/j.rsase.2025.101779</a></p>…”