Exploring Health Sciences Students' Perspectives on Using Generative Artificial Intelligence in Higher Education: A Qualitative Study.

The widespread adoption of artificial intelligence (AI) tools in academic settings has the potential to revolutionize learning experiences, enhance educational outcomes, and streamline academic processes. The aim of this research was to explore the perceptions of Lebanese health sciences students regarding the use of generative AI in higher education. A qualitative descriptive research design informed by descriptive phenomenology was employed.

Integrating Wi-Fi, Li-Fi, and BPL Technologies for a Secure Indoor Communication System.

In today's digital age, there is an increasing demand for integrated wireless and wired technologies; however, there is a difficulty in achieving secure and reliable communications within buildings and facilities. This paper presents a proposal for maintaining the infrastructure while expanding it to implement communication technologies with high transmission and reception speeds and high levels of data confidentiality to enhance the operational efficiency of organizations. Three main technologies have emerged as promising solutions for this purpose: Wi-Fi, Li-Fi, and BPL.

ANN-QSAR, Molecular Docking, ADMET Predictions, and Molecular Dynamics Studies of Isothiazole Derivatives to Design New and Selective Inhibitors of HCV Polymerase NS5B.

RNA polymerase (NS5B), serves as a crucial target for pharmaceutical interventions aimed at combating the hepatitis C virus (HCV), which poses significant health challenges worldwide. The present research endeavors to explore and implement a variety of advanced molecular modeling techniques that aim to create and identify innovative and highly effective inhibitors that specifically target the RNA polymerase enzyme. In this study, a QSAR investigation was carried out on a set of thirty-eight isothiazole derivatives targeting NS5B inhibition and thus hepatitis C virus (HCV) treatment.

Profile of maladaptive and normative eating behaviors in correlation with rumination: a cross-sectional study among Lebanese adults.

Background: Dieting is a common practice around the world. People who wish to lose weight, improve their eating habits, or reach a desired level of health often diet. Rumination, a pattern of repetitive negative thoughts and emotions, is typically found when individuals diet.

A proficient approach for the classification of Alzheimer's disease using a hybridization of machine learning and deep learning.

Alzheimer's disease (AD) is a neurodegenerative disorder. It causes progressive degeneration of the nervous system, affecting the cognitive ability of the human brain. Over the past two decades, neuroimaging data from Magnetic Resonance Imaging (MRI) scans has been increasingly used in the study of brain pathology related to the birth and growth of AD.

Emergence and characterization of attraction in a dynamic Hubbard model.

The Dynamic Hubbard Model (DHM) has been introduced as a framework for the electron-hole asymmetry observed in materials like high-temperature superconductors. In this study, we aim to understand the intricate dynamics of hole interactions, particularly focusing on the competition between on-site repulsion and hole-lattice coupling. Our results reveal a striking feature-an effective nearest-neighbor attraction between holes, even in the presence of the on-site repulsion typical of Mott insulators.

Undergraduate student nurses' experience of using standardized patient simulation in mental health course: A qualitative study.

Objectives: The aim of this research was to explore the perceptions of Lebanese student nurses on use of standardized patient simulations in the undergraduate mental health course.

Design: A qualitative descriptive research design informed by descriptive phenomenology was employed.

Method: Semi-structed interviews were carried out among 19 student nurses at one major private university in Beirut.

Demographic factors, knowledge, attitude and perception and their association with nursing students' intention to use artificial intelligence (AI): a multicentre survey across 10 Arab countries.

Background: Artificial intelligence (AI) is becoming increasingly important in healthcare, with a significant impact on nursing practice. As future healthcare practitioners, nursing students must be prepared to incorporate AI technologies into their job. This study aimed to explore the associated factors with nursing students' intention to use AI.

Unlocking Molecular Fingerprint of an Ombrotrophic Peat Bog: Advanced Characterization Through Hexamethyldisilazane Thermochemolysis and Principal Component Analysis.

This study examines a boreal peatland (the Sagnes peatland, Fanay, Limousin, France) with a depth of 1 m. This peatland is currently in the late stages of organic deposition, as evidenced by the growth of species, along with mosses, in the uppermost level. To gain molecular insights, we conducted an analysis of the lignin and polyphenolic counterparts using HMDS (hexamethyldisilazane) thermochemolysis, enabling the identification of lignin degradation proxies.

Screening Asian Medicinal Plants for SARS-CoV-2 Inhibitors: A Computational Approach.

This work aimed to evaluate the antiviral potential of compounds from Asian medicinal plants against SARS-CoV-2's main protease and spike glycoprotein, identifying dual inhibitors from these plants that target both proteins through advanced virtual screening, molecular dynamics simulations, and pharmacophore analysis. An in-house library of 335 antiviral natural products was prepared from the selected medicinal plants. Following the virtual screening of this library against the main protease and spike glycoprotein, top compounds were subjected to downstream analysis for evaluating druggability potential and toxicity analysis.

An MCDM approach on Einstein aggregation operators under Bipolar Linear Diophantine Fuzzy Hypersoft Set.

The most extended form of a fuzzy set called the Bipolar Linear Diophantine Fuzzy Hypersoft Set is implemented with some basic operations. This is an extraordinary technique for handling uncertainty because it has a choice of reference parameters with auxiliary attributes. A widely used operator named Einstein aggregation operators was developed in our proposed context.

Enhancing energy balance in wireless sensor networks through optimized minimum spanning tree.

Wireless sensor networks (WSNs) are important for applications like environmental monitoring and industrial automation. However, the limited energy resources of sensor nodes pose a significant challenge to the network's longevity. Energy imbalances among nodes often result in premature failures and reduced overall network lifespan.

Evaluation of modified fire hawk optimizer for new modification in double diode solar cell model.

The evaluation of photovoltaic (PV) model parameters has gained importance considering emerging new energy power systems. Because weather patterns are unpredictable, variations in PV output power are nonlinear and periodic. It is impractical to rely on a time series because traditional power forecast techniques are based on linearity.

Treatment of cancer patients by generalizing a Fermatean normal vague set with aggregation operators.

Multi-attribute decision-making problems can be solved using a Fermatean vague set. Fermatean vague sets are extension of vague sets. We initiated generalized Fermatean vague weighted averaging, generalized Fermatean vague weighted geometric, power generalized Fermatean vague weighted averaging and power generalized Fermatean vague weighted geometric.

Psychosocial factors correlating self-care management among Jordanian adolescents with type 1 diabetes.

Purpose: Few studies were conducted to examine the correlation between the anxiety symptoms, depressive symptoms, self-efficacy, and social support variables and type 1 diabetes in developing countries, including Jordan. Thus, this study was conducted to assess the correlation between these psychosocial factors and self-care management among Jordanian adolescents with type 1 diabetes.

Design & Methods: A cross-sectional, descriptive correlational design was used to perform a study among adolescents with type 1 diabetes (N = 351) aged 14-18 years who attended primary healthcare centers clinics, and diabetic clinics related to hospitals in Amman Governorate, Jordan.

Search for Soft Unclustered Energy Patterns in Proton-Proton Collisions at 13 TeV.

The first search for soft unclustered energy patterns (SUEPs) is performed using an integrated luminosity of 138  fb^{-1} of proton-proton collision data at sqrt[s]=13  TeV, collected in 2016-2018 by the CMS detector at the LHC. Such SUEPs are predicted by hidden valley models with a new, confining force with a large 't Hooft coupling. In events with boosted topologies, selected by high-threshold hadronic triggers, the multiplicity and sphericity of clustered tracks are used to reject the background from standard model quantum chromodynamics.

Exploring moiré skyrmions in twisted double bilayer and double trilayerCrI3.

Moiré magnets have emerged as intriguing platforms for hosting exotic magnetic states due to the competing interactions within these materials. Recent experiments have reported noncollinear magnetic states in moiréCrI3, particularly focusing on twisted double bilayer (tDB) and double trilayer (tDT) configurations. However, atomistic simulations of moiréCrI3have largely been limited to the bilayer case.

Could DTI Unlock the Mystery of Subjective Tinnitus: It's Time for Parameters That Go A Little Out of the Routine.

In this study, it was aimed to assess the microstructural changes in the main central auditory pathway in cases with subjective tinnitus. In total, 101 subjects (52 cases with bilateral subjective non-pulsatile tinnitus and 49 healthy cases as the control group) were included in the study. Participants underwent pure tone audiogram and Diffusion Tensor Imaging-Magnetic Resonance Imaging (DTI-MRI) examination with a 3 Tesla MRI device.

Enantioselective synthesis of α-(3-pyrrolyl)methanamines with an aza-tetrasubstituted center under metal-free conditions.

Construction of a chiral methanamine unit at the C3 position of pyrrole is highly desirable; nevertheless, it remains challenging due to its intrinsic electronic properties. Herein, we present an operationally straightforward and direct asymmetric approach for accessing α-(3-pyrrolyl)methanamines under benign organocatalytic conditions for the first time. The one-pot transformation proceeds smoothly through an amine-catalyzed direct Mannich reaction of succinaldehyde with various -cyclic imines, followed by a Paal-Knorr cyclization with a primary amine.