Lebanese American University

In Vitro Anti-Proliferative and Cisplatin-Modulating Effects of Cedrus libani A. Rich Leaf Essential Oil on H460 and HT-29 Human Cancer Cell Lines

Cedrus libani A. Rich is a coniferous tree native to the eastern Mediterranean region that is known for exhibiting pharmacological properties. In the present study, we investigated the anti-proliferative effect of C. libani leaf essential oil (EO) against H460 and HT-29, as well...

Diverse genetic pathways drive convergent fluconazole and caspofungin resistance phenotypes in Candida albicans

The emergence of antifungal resistance in Candida albicans is a major worldwide public health threat, particularly for immunocompromised patients. Antifungal resistance may arise through uniform resistance mechanisms or through variable evolutionary routes. The aim of this study...

Bridging skills gaps: how micro-credentials reshape sustainable development learning in higher education

Abstract Micro-credentials (MCs) are gaining traction in higher education as essential tools for advancing sustainable development (SD). These short, focused courses provide learners with specific skills and knowledge related to sustainability, enabling them to address pressing g...

Blood Pressure Dipping Status in Chronic Kidney Disease and Association With Adverse Outcomes: A Systematic Review and Meta‐Analysis

Background Nondipping, <10% nighttime blood pressure reduction, is common in chronic kidney disease (CKD). We conducted a systematic review to determine CKD nondipper prevalence, nondipper risk between patients with and without CKD and adverse events associated with nondippers in...

Cluster headache care gaps among primary healthcare physicians in the Middle East, North Africa, and Türkiye: a multinational study

Cluster headache is one of the most severely disabling primary headache disorders and is frequently associated with diagnostic delay, inappropriate treatment, disability, and substantial psychosocial burden. Because primary healthcare (PHC) physicians are commonly the first point...

New Characterizations of Strong Convexity

Parallel to the main results of C. Nour, R. J. Stern and J. Takche in " Proximal smoothness and the exterior sphere condition" [J. Convex Analysis 16/2 (2009) 501–514] and of C. Nour and J. Takche in "A new class of sets regularity" [J. Convex Analysis 25/4 (2018) 1059–1074], whi...

From Supercapacitors to Lithium-ion Capacitors: State-transition-aware energy management in energy harvesting systems

Lithium-ion Capacitors (LiCs) have emerged as promising energy storage devices for energy harvesting applications due to their high power capability, extended cycle life, and higher energy density compared with conventional Supercapacitors (SCs). Existing energy management strate...

A novel new iterative method–physics-informed neural networks approach for accurate and efficient solutions of nonlinear damped Burgers’ equations

In this work, a hybrid semi-analytical and deep learning framework is proposed for solving nonlinear damped Burgers equations by combining the New Iterative Method (NIM) with Physics-Informed Neural Networks (PINNs). The developed methodology consists of the use of NIM to build a...

A heuristic graph editing approach to correlation clustering with overlap

Correlation clustering seeks a partition of the vertex set of a given graph/network into groups of closely related, or just close enough, vertices so that elements of different groups are not close to each other. The problem has been previously modeled and studied as a graph edit...

Artificial Intelligence, Green Innovation, and the Clean-Energy Market: A Quantile-Based Analysis

Artificial intelligence is increasingly viewed as both a catalyst for clean-energy development and a potential constraint on green innovation. This study examines the quantile-specific relationships between artificial intelligence, clean-energy market performance, and green innov...

Comparative effects of atorvastatin and rosuvastatin on inflammatory biomarkers: a systematic review and meta-analysis of randomized head-to-head trials

Abstract Background Inflammation contributes significantly to cardiovascular disease progression. While both atorvastatin and rosuvastatin have anti-inflammatory effects, evidence directly comparing their effects on inflammatory biomarkers is limited and inconsistent. This study...

Impact of stochasticity and time delay on stuxnet virus propagation in critical control systems

A complex computer worm that was first discovered in 2010, Stuxnet targeted industrial control systems and led to physical sabotage of production processes all without being detected. Symantec estimates that over 100,000 computers were infected by the malware, with around 60% of...

Screening of Attention-Deficit Hyperactivity Disorder and its associated factors among medical university students in Lebanon: A multicenter cross-sectional study

Attention-Deficit Hyperactivity Disorder (ADHD) is a common neurodevelopmental disorder that may adversely affect academic performance and well-being. Data on ADHD among Lebanese medical students are limited. This study assessed the prevalence of probable ADHD symptoms and associ...

Optimized Wavy Thermal Radiative Analysis of Electrochemically Ternary Hybrid Nanomaterials Affected by an Induced Magnetic Force: An ANN‐Based Levenberg–Marquardt Backpropagation Approach

ABSTRACT This study is motivated by the growing demand for highly efficient thermal management fluids in modern energy systems, microelectronics and industrial heat flow processes, where conventional fluids fail to meet rising performance requirements. To address these limitation...

Winkler spring stiffness distribution for the structural analysis of mat foundations in clay under drained conditions

Abstract The interaction between mat foundations and the supporting soil is often simplified in design practice by assuming that the mat rests on Winkler springs. Most of previous studies aimed at determining the spatial variation of the spring constants or the modulus of subgrad...

Novel analysis of physics-informed neural networks for solving Cahn-Allen, FitzHugh-Nagumo and Fisher–KPP Models

This paper presents a hybrid semi-analytical/deep-learning framework for nonlinear PDEs, combining the New Iterative Method (NIM) with Physics-Informed Neural Networks (PINNs). A truncated NIM series provides a closed-form baseline satisfying the initial condition exactly, while...

A hybrid semi-analytical and neural network approach for solving nonlinear Kolmogorov and Rosenau-Hyman equations

This paper presents a hybrid semi-analytical and physics-informed neural network framework for solving linear and nonlinear partial differential equations. The proposed approach combines the New Iterative Method (NIM) with Physics-Informed Neural Networks (PINNs): a low-order ana...

Physical activity and its relationship with burnout and fatigue among medical residents and fellows in Lebanon: a multicenter cross-sectional study

Burnout and fatigue are major concerns among medical residents, affecting well-being, performance, and patient safety. Physical activity is known to improve mental health and reduce stress and fatigue, yet residents often have limited opportunities to remain active due to demandi...

Geopolitical Risks and Fossil Fuel Returns during the Last Four Decades

Abstract This paper empirically investigates the directional predictability of geopolitical risks (distinguishing between geopolitical acts and threats) on the returns of fossil fuels (crude oil, coal, and natural gas) over the last four decades, from January 1984 to February 202...

Toxoplasma gondii and gender equity: advocating for a one health approach in Lebanon

Toxoplasmosis, a zoonotic disease caused by the obligate intracellular protozoan Toxoplasma gondii , poses significant health risks, particularly for women of reproductive age, yet remains neglected in Lebanon's public health policies. This study aimed to assess awareness of toxo...