Assessing uncertainty in image-based monitoring: addressing false positives, false negatives, and base rate bias in structural health evaluation حسب 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. …"

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

"…In a separate radiologist–AI comparison on 224 biopsy-confirmed images not used for training or validation, the AI reached 91.96% accuracy, significantly exceeding radiologists’ 19.64%–31.70% (McNemar’s test, <i>p</i><0.001 ), with strong agreement to ground truth (<i>κ</i>=0.893) versus radiologists’ poor-to-slight agreement (<i>κ</i>=0.006 –0.194). …"

DNA Base-Calling Techniques حسب Odeh, Fadi

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The effect of Ramadan focused education on patients with type 2 diabetes: A systematic review and meta-analysis حسب Hoda Gad (6470522)

"…</p><h3>Conclusions</h3><p dir="ltr">This systematic review and meta-analysis shows that Ramadan-focused diabetes education leads to a decrease in HbA1c and LDL, but an increase in TG and weight during Ramadan. …"

Anomaly Detection Based Framework for Profile Monitoring حسب Al-Rahim, Nour Al-Huda Z. Al-Abed

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Novel algorithms for accurate DNA base-calling حسب Mohammed, Omniyah Gul

"…Discriminative features that characterize each chromatogram trace were subsequently extracted and subjected to the chosen classifiers to categorize the events to their respective base classes. The models are trained such that they are not restricted to a specific species or to a specific chemical procedure of sequencing. …"
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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... حسب Salma Younes (6424865)

"…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). …"

The Impact of Singing on the Development of Voicing Contrast in L2 English حسب Sherif, Laila Adnan

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Investigating Perceptions of Pre-Service Teachers and Instructors About TPACK Capabilities of Pre-Service Teachers: An Explanatory Study Among Selected UAE Universities حسب MOHEBI, LAILA MURTADHA BAQER

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The impact of teacher preparation on preservice teachers' attitudes toward inclusive education in Qatar حسب Elsayed E.A. Hassanein (17075281)

Breast Cancer Screening Practices in a Tertiary Care Center in the State of Qatar: A Cross-Sectional Survey حسب Jessiya Veliyankodan Parambil (16518660)

Dietary Trichosporon mycotoxinivoron modulates ochratoxin-A induced altered performance, hepatic and renal antioxidant capacity and tissue injury in broiler chickens حسب 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. …"

Integrating technology pedagogy and content knowledge in Qatar’s preparatory and secondary schools: The perceptions and practices of STEM teachers حسب Ziad Said (17541819)

"…The objective is to develop a TPD program using project-based learning pedagogical intervention to support K-12 science and mathematics teachers and to train them on how to implement PBL in their teaching practices. 245 STEM teachers from 16 preparatory and secondary schools, representing an equal number of males and females, responded to a STEM-TPACK survey on perceptions of and practices in teaching STEM subjects. …"

An image processing and genetic algorithm-based approach for the detection of melanoma in patients حسب Tokajian, Sima

"…Our technique shows a significant improvement over other well-known algorithms and proves to be more stable on both training and testing data.…"
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Low-Complexity Machine Learning-based Behavioral Modeling of Power Amplifiers حسب Aziz, Mohammad Rabih

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Personality traits as predictors of vulnerability to persuasion in social engineering amongst risk-aware targets حسب Aya Muhanad (22827410)

"…These measures often leverage individual differences to create tailored solutions, such as custom cybersecurity training programs. This study examines persuasion in social engineering (SE) attacks, one of the most prevalent forms of cyberattacks today, and their connection to human factors, using a vignette-based approach. …"

Machine learning-based prediction of one-year mortality in ischemic stroke patients حسب Ahmad Abujaber (9100064)

Dynamic model scaling based on segmented tumor size for breast cancer detection حسب Younes Akbari (16303286)

"…The segmentation model, trained on a specialized dataset of breast cancer regions, identifies tumor regions in testing images from breast cancer detection datasets. …"

TIDCS: A Dynamic Intrusion Detection and Classification System Based Feature Selection حسب Zina Chkirbene (16869987)

"…By using a comprehensive dataset with multiple attack types, a well-trained model can be created to improve the anomaly detection performance. …"

Effect of a simulation-based workshop on breaking bad news for anesthesiology residents حسب Youssef, Nazih

"…Performance was not related to years of training, or previous BBN experience. Conclusion Anesthesiology residents’ communication skills when BBN in relation to a critical incident may be improved with educational interventions based on immersive experiences with a high fidelity simulator and role-play with SPs.…"
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