Analyzing the Efficiency of Working Capital Management: a New Approach Based on DEA‑Malmquist Technology by Mohamed Habib, Ahmed

“…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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Social Media Use and Body Checking Among Lebanese Adults by Korkomaz, Aya

“…Background: The recent increase in social media use has been associated with body checking and body image dissatisfaction. This association has been attributed to the high prevalence of unrealistic images of beauty or masculinity on these platforms. …”
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Social Comparison Theory by Hamdan, Sahar

“…The participants answered questions that inform us about their frequency of Instagram use and fitspiration content consumption, their intention to exercise based on the Exercise Motivation Index (EMI2, Markland & Psychol, 1999), their tendency to compare their appearance, and self-esteem using the State Appearance Self-Esteem Scale (SSES, Heatherton & Polivy, 1991), their levels of body satisfaction using the Body Image State Scale (BISS, Cash et al. 2002). …”
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Dual-stage segmentation and classification framework for skin lesion analysis using deep neural network by Khadija Manzoor (22565369)

“…For SLICE-3D, we evaluated both tabular-only and image + metadata fusion approaches using XGBoost classifier and ResNet-based classifier, respectively.…”

A Comprehensive Analysis of Healthcare Big Data Management, Analytics and Scientific Programming by Shah Nazir (14779162)

Ultraliser: a framework for creating multiscale, high-fidelity and geometrically realistic 3D models for <i>in silico</i> neuroscience by Marwan Abdellah (4435360)

Simultaneous Multi-Adulterant Detection in Milk Using an In-house Developed Multiplexed Microfluidic Paper-Based Analytical Device (M-µPAD) by Jannat Ahsan (22466530)

“…<p dir="ltr">Milk adulteration poses a significant challenge in developing countries, impacting food safety and public health. …”

A novel virtual patient approach for cross-patient multimodal fusion in enhanced breast cancer detection by Younes Akbari (16303286)

“…<p>Multimodal medical imaging combining conventional imaging modalities such as mammography, ultrasound, and histopathology has shown significant promise for improving breast cancer detection accuracy. …”

Application of TiO₂-loaded fly ash-based geopolymer in adsorption of methylene blue from water: Waste-to-value approach by Johaina Alahmad (19205965)

“…Scanning electron microscopy images exhibited a porous morphology. Furthermore,<u> transmission electron microscopy</u> images revealed a nanostructured shape, with <u>nanoparticles</u> clumping together to form small channels suitable for MB adsorption. …”

Deep Learning for the Accurate Prediction of Triggered Drug Delivery by Husseini, Ghaleb

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Collaborative Federated Learning for Healthcare: Multi-Modal COVID-19 Diagnosis at the Edge by Adnan Qayyum (16875936)

“…<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). …”

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

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

“…While conventional manual techniques are time-consuming and prone to errors, advanced deep learning models have shown promising results in medical image segmentation. Recently, several complex architectures, such as vision Transformers and attention-based convolutional neural networks (CNNs), have been introduced for this task. …”

Hyper-Hypo study: A Retrospective Observational Study of Neonatal Hypoglycemia Related to Maternal Hypertension by Thiruveni Ramkumar (17075051)

“…On the other hand, neonates of hypertensive mothers administered with methyldopa showed a significant decrease of initial blood glucose reading.…”

Rescue cerclage by Khoury, Alfred

“…Advanced dilation of 3 cm and/or prolapsed membranes (n = 18) did not decrease the likelihood of reaching 28 weeks. Mean gestational age at delivery for this subset of patients was 30.7 ± 7.2 weeks. …”
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Food safety knowledge attitude and practices of oncology nurses, in Lebanese hospitals by Angy, Mallah

“…Knowledge scores were higher among nurses holding a graduate degree (mean = 85; p < 0.05), and those who attended a training course (mean = 79; p < 0.05). …”
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Sleeve Gastrectomy in Patients with Type 2 Diabetes: Anthropometric and Cardiometabolic Improvements at 1, 3, 5, 7, and 9 years—Are the Initial Benefits Sustained? by Wahiba Elhag (5245547)

“…Mean HbA1c significantly decreased from 8.1%preop to 6.77%_{year 9}. …”

Sex differences on quality of life and mental health outcomes when using a brief cognitive-behavioral skill building intervention with adolescent Syrian refugees: a secondary analy... by Kazandjian, Chant

“…Among males only, significant decreases in depression and anxiety scores were observed with significant improvement in total QOL.…”
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Food safety knowledge attitude and practices of oncology nurses, in Lebanese hospitals by Angy Mallah (17831954)

“…Knowledge scores were higher among nurses holding a graduate degree (mean = 85; p < 0.05), and those who attended a training course (mean = 79; p < 0.05). …”

Investigating the impact of remittance outflows and oil price on economic growth in Gulf Cooperation Council countries by Mouyad Alsamara (17823668)

“…These findings have significant implications for labor markets and nationalization policies in the GCC countries.…”