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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...
Published 2023“…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). …”
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Dietary Trichosporon mycotoxinivoron modulates ochratoxin-A induced altered performance, hepatic and renal antioxidant capacity and tissue injury in broiler chickens
Published 2021“…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. …”
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Machine Learning Based Palm Farming: Harvesting and Disease Identification
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Assessing Factors Influencing Customers’ Adoption of AI-Based Voice Assistants
Published 2024“…The study reveals that the “value of openness to change” poses a significant effect toward “reasons for” adoption, among which “performance expectancy” and “hedonic motivation” play the most significant role in establishing a favorable attitude toward voice assistants’ adoption. …”
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A novel virtual patient approach for cross-patient multimodal fusion in enhanced breast cancer detection
Published 2025“…<p>Multimodal medical imaging combining conventional imaging modalities such as mammography, ultrasound, and histopathology has shown significant promise for improving breast cancer detection accuracy. …”
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Determinants of Disordered Eating Patterns among an LGTBQ Community in Lebanon
Published 2021“…Therefore, this cross-sectional observational study based in Lebanon that aims at investigating the relationship between sexual orientation and gender identity with disordered eating behaviors. …”
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A Novel Versatile Framework for Enabling Early Detection of Evolving Network-based Cyberattacks
Published 2025“…Network-based cyber-attacks have been increasing in scale, frequency and sophistication, posing significant threats to nation states and organizations worldwide. …”
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Deep Learning for the Accurate Prediction of Triggered Drug Delivery
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Social Media Use and Body Checking Among Lebanese Adults
Published 2022“…Methods: An observational, cross-sectional survey-based design was used. Participants (n = 423, 18-50 years old of both genders), filled a questionnaire measuring body checking, social media use, self-esteem, perceived stress and emotional eating. …”
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Collaborative Federated Learning for Healthcare: Multi-Modal COVID-19 Diagnosis at the Edge
Published 2022“…<p dir="ltr">Despite significant improvements over the last few years, cloud-based healthcare applications continue to suffer from poor adoption due to their limitations in meeting stringent security, privacy, and quality of service requirements (such as low latency). …”
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Improving the reconstruction of dental occlusion using a reconstructed-based identical matrix point technique
Published 2022“…Satisfactory restoration and occlusion tests have been analyzed using a dental experimental setup with high-quality digital camera images. Further, the high-quality camera images are converted to grayscale images for mathematical computation using MATLAB image processing toolbox. …”
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Analyzing the Efficiency of Working Capital Management: a New Approach Based on DEA‑Malmquist Technology
Published 2022“…The implications of WCM performance on social interests would cause decision-makers to use the best strategies and procedures to enhance WCM activities to improve their investments and image in the community in which it oper ates. We advance a novel contribution to the literature by analyzing and apprais ing the WCME for companies before and during the coronavirus crisis using a new approach based on DEA-Malmquist technology and then examining whether the coronavirus crisis has affected the WCME.…”
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The utility of a deep learning-based approach in Her-2/neu assessment in breast cancer
Published 2023“…Materials and MethodsA deep learning-based automatic framework was utilized for the automatic detection of Her-2/neu score from whole slide images (WSI). …”
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