Dietary Trichosporon mycotoxinivoron modulates ochratoxin-A induced altered performance, hepatic and renal antioxidant capacity and tissue injury in broiler chickens by Sheraz Ahmed Bhatti (9759633)

“…Dietary OTA at all the tested levels induced the hepatic and renal tissue injury as indicated by significant decreased total antioxidant capacity in these organs along with significant decreased (p ≤ 0.05) serum concentrations of total proteins and albumin. …”

A Reliable and Robust Deep Learning Model for Effective Recyclable Waste Classification by Md. Mosarrof Hossen (21401603)

“…Deep learning has made significant advancements in image classification, making it ideally suited for waste sorting applications. …”

Exploring Effects of Mental Stress with Data Augmentation and Classification Using fNIRS by Khan, Malik Nasir Afzal

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Effectiveness of Positron Emission Tomography for Predicting Chemotherapy Response in Colorectal Cancer Liver Metastases by Glazer, Evan

“…The role of surgery in colorectal hepatic metastases is undergoing a revolution of sorts. For example, a few years ago an extrahepatic metastasis effectively eliminated surgical resection, but a combination of chemotherapeutic options and surgical techniques has expanded the indications for resection and increased the population of patients who may benefit.1,2 Neoadjuvant chemotherapy has increased the resectability rate by 11% to 37%.1 Unfortunately, greater than 80% of patients undergoing hepatic resection will have recurrences, mostly within the first 2 years.2 Nonetheless, the only hope for cure is resection, and prior surgical dogma based on the number of lesions, size of the tumor-free resection margin, and presence of resectable extrahepatic disease must be questioned.3- 5 The current standard approach to surgical planning is contrast-enhanced computed tomography (CT) or magnetic resonance imaging (MRI) for specific tumor characteristics or contraindications to CT.6 Several series showed that focal extrahepatic disease, an isolated pulmonary lesion, can be safely resected, with 5-year survival rates of 29% to 58%.7,8 In 1 series,7 17 of 30 patients required 3 or more resections. …”
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Simultaneous EEG-fMRI: Evaluating the Effect of the EEG Cap-Cabling Configuration on the Gradient Artifact by Muhammad E. H. Chowdhury (14150526)

“…Previous work has shown that the ribbon cable, used to connect the EEG cap and amplifier, makes a significant contribution to the GA, since the cable geometry produces large effective wire-loop areas. …”

Comparative Study of Deep Learning Models for Unimodal & Multimodal Disaster Data for Effective Disaster Management by MOHAMED, DENA AHMED

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Effects of Social Media Use and Dependence on Dietary Intake and Prevalence of Orthorexia in Pregnant and Non-Pregnant Women by Issa, Yara

“…Social media use may have detrimental effects on the physical and mental wellbeing of young adults, including body image dissatisfaction and changes in dietary behavior. …”
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Effects of the Phantom Shape on the Gradient Artefact of Electroencephalography (EEG) Data in Simultaneous EEG–fMRI by Muhammad Chowdhury (3664999)

YOLO-DefXpert: An Advanced Defect Detection on PCB Surfaces Using Improved YOLOv11 Algorithm by Prabu Selvam (22330264)

“…Accurately identifying small defects on PCB surfaces remains a considerable challenge, particularly under complex background conditions, due to the intricate and compact layout of the boards. …”

Investigating the Effect of Patient-Related Factors on Computed Tomography Radiation Dose Using Regression and Correlation Analysis by AlShurbaji, Mohammad

“…Computed tomography (CT) is a widely utilized diagnostic imaging modality in medicine. However, the potential risks associated with radiation exposure necessitate investigating CT exams to minimize unnecessary radiation. …”
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Hybrid effect of carbon nanotubes and polypropylene microfibers on fire resistance, thermal characteristics and microstructure of cementitious composites by Mohammad R., Irshidat

“…According to the DSC and TGA analysis, presence of CNTs increased heat absorption needed for decomposition of the hydration products of cement mortar whereas the presence of the fibers has minor effect. SEM images show that the CNTs filled the pores and delayed the initiation of the cracks, whereas the PP fibers bridged these cracks and mitigated their propagation.…”
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Hybrid effect of carbon nanotubes and polypropylene microfibers on fire resistance, thermal characteristics and microstructure of cementitious composites by Mohammad R. Irshidat (8047913)

“…According to the DSC and TGA analysis, presence of CNTs increased heat absorption needed for decomposition of the hydration products of cement mortar whereas the presence of the fibers has minor effect. SEM images show that the CNTs filled the pores and delayed the initiation of the cracks, whereas the PP fibers bridged these cracks and mitigated their propagation.…”

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

“…<p dir="ltr">Accelerated brain aging and abnormalities are associated with variations in brain patterns. Effective and reliable assessment methods are required to accurately classify and estimate brain age. …”

Mutations in L-type amino acid transporter-2 support SLC7A8 as a novel gene involved in age-related hearing loss by Meritxell Espino Guarch (18810097)

“…Significant decreases in SLC7A8 transport activity was detected for patient’s variants (p.Val302Ile, p.Arg418His, p.Thr402Met and p.Val460Glu) further supporting a causative role for SLC7A8 in ARHL. …”

A review of explainable AI techniques and their evaluation in mammography for breast cancer screening by Noora Shifa (21392996)

“…By exploring various XAI techniques and evaluating their strengths and weaknesses, researchers can significantly advance precision medicine. This review synthesizes existing research on XAI in medical imaging, focusing on mammography, a domain often overlooked in XAI studies. …”

Enhanced coronary artery segmentation and stenosis detection: Leveraging novel deep learning techniques by Abu Jaffor Morshedul Abedin (22803884)

Seismic Risk Assessment of Buildings in Dubai, United Arab Emirates by Al Shamsi, Gaith Abdulrahman

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Enhancing waste sorting and recycling efficiency: robust deep learning-based approach for classification and detection by Faizul Rakib Sayem (21399890)

“…These advancements demonstrate significant progress in the field of intelligent waste management, paving the way for more efficient and effective solutions.…”

Ensemble deep learning for brain tumor detection by Shtwai Alsubai (15211962)

“…First, the data is preprocessed efficiently, and then, the Convolutional Neural Network (CNN) is applied to extract the significant features from images. The proposed model predicts the brain tumor with a significant classification accuracy of 99.1%, a precision of 98.8%, recall of 98.9%, and F1-measure of 99.0%.…”

Deep Models for Stroke Segmentation: Do Complex Architectures Always Perform Better? by Ahmed Soliman (4591621)

“…These findings suggest that proposed complex architectures may be task-specific and simpler models with appropriate pre-/post-processing pipeline can be equally or more effective in generalization across different tasks in medical image segmentation.…”