Computational evaluation of micropores wetting effect on the removal process of CO through the membrane contactor.

In the current years, gas-liquid membrane contactors (GLMCs) have been introduced as a promising, versatile and easy-to-operate technology for mitigating the emission of major greenhouse contaminants (i.e., CO and HS) to the ecosystem.

Forecasting cardiovascular disease mortality using artificial neural networks in Sindh, Pakistan.

Cardiovascular disease (CVD) is a leading cause of death and disability worldwide, and its incidence and prevalence are increasing in many countries. Modeling of CVD plays a crucial role in understanding the trend of CVD death cases, evaluating the effectiveness of interventions, and predicting future disease trends. This study aims to investigate the modeling and forecasting of CVD mortality, specifically in the Sindh province of Pakistan.

Disentangling Sources of Momentum Fluctuations in Xe+Xe and Pb+Pb Collisions with the ATLAS Detector.

High-energy nuclear collisions create a quark-gluon plasma, whose initial condition and subsequent expansion vary from event to event, impacting the distribution of the eventwise average transverse momentum [P([p_{T}])]. Disentangling the contributions from fluctuations in the nuclear overlap size (geometrical component) and other sources at a fixed size (intrinsic component) remains a challenge. This problem is addressed by measuring the mean, variance, and skewness of P([p_{T}]) in ^{208}Pb+^{208}Pb and ^{129}Xe+^{129}Xe collisions at sqrt[s_{NN}]=5.

Comparative analysis of the microbiome composition of artisanal cheeses produced in the Mediterranean area.

In the PRIMA project ArtiSaneFood, the microbiological parameters of several artisanal cheeses produced in the Mediterranean area have been quantified. In this pilot study, we selected four of these artisanal cheese products from Italy, Portugal, Spain, and Morocco to investigate and compare their microbiomes in terms of taxonomic composition, presence of reads of foodborne pathogens, as well as virulence and antimicrobial resistance genes. , and were the most represented genera in the Portuguese and Spanish cheeses, in the Italian cheese, and , , , and in the Moroccan products.

Biopreservation strategies using bacteriocins to control meat spoilage and foodborne outbreaks.

Fresh meat is highly perishable, presenting challenges in spoilage mitigation and waste reduction globally. Despite the efforts, foodborne outbreaks from meat consumption persist. Biopreservation offers a natural solution to extend shelf life by managing microbial communities.

Postpartum Septic Osteoarthritis: A case series study.

Introduction-Aim: Postpartum septic osteoarthritis is a rare but serious condition often misdiagnosed due to overlap with common postpartum symptoms like pelvic pain and joint stiffness. This case series aims to describe the clinical, bacteriological, and radiological characteristics of postpartum septic osteoarthritis, as well as the treatment approaches and patient outcomes. Methods: A retrospective case series was conducted at Farhat Hached University Hospital, from 2006 to 2022, involving patients with confirmed postpartum septic osteoarthritis.

A computational approach to drug design for multiple sclerosis via QSPR modeling, chemical graph theory, and multi-criteria decision analysis.

Multiple sclerosis (MS) is a complex autoimmune disease of the central nervous system with an unknown etiology. While disease-modifying therapies can slow progression, there is a need for more effective treatments. Quantitative structure-activity relationship (QSAR) modeling using topological indices derived from chemical graph theory is a promising approach to rationally design new drugs for MS.

The influence of cognitive flexibility on research abilities among medical students: cross-section study.

Background/aim: COGNITIVE FLEXIBILITY REFERS TO PEOPLE'S CAPACITY TO CHANGE OR EVOLVE THEIR THINKING AND STRATEGIES WHEN CONFRONTED WITH NEW INFORMATION OR CIRCUMSTANCES: These attributes are essential in research environments where complex and dynamic challenges frequently arise. In this study, the aim is to explore and establish whether a correlation exists between cognitive flexibility and research performance, especially in the medical students, in order to fill the deficit, if any, as well as understand the status of research teaching.

Methods: We conducted an analytical cross-sectional study with medical students from the College of Medicine at King Saud University in Riyadh, Saudi Arabia.

Psychometric properties of an Arabic translation of the 13-item short mood and feelings questionnaire- parent version (SMFQ-P) to screen for depression in children.

Background: Understanding the connection between parental wellbeing and its impact on childhood depression is crucial in order to develop targeted interventions and support systems that can mitigate potential long-term effects on mental health. This study focuses on examining the properties of an Arabic translation of a questionnaire called Short Mood and Feelings Questionnaire Parent Version (SMFQ-P) as a preliminary step toward validating a culturally relevant screening tool for childhood depression in Lebanon.

Methods: A total of 502 parents, recruited through a snowball method, took part in the survey with an age of 36.

A novel deep synthesis-based insider intrusion detection (DS-IID) model for malicious insiders and AI-generated threats.

Insider threats pose a significant challenge to IT security, particularly with the rise of generative AI technologies, which can create convincing fake user profiles and mimic legitimate behaviors. Traditional intrusion detection systems struggle to differentiate between real and AI-generated activities, creating vulnerabilities in detecting malicious insiders. To address this challenge, this paper introduces a novel Deep Synthesis Insider Intrusion Detection (DS-IID) model.

Psychometric properties of the Arabic version of the Young Schema Questionnaire Short Form-Version 3 (YSQ-S3).

It is well evidenced that Early Maladaptive Schemas (EMS) are important mental health determinants, particularly in adolescents and young adults. The short version of the Young Schema Questionnaire (YSQ-S3) is widely used globally to assess EMS, and has yet to be validated in the Arabic language. The aim of the current study was to validate the Arabic version of the YSQ-S3 in Arabic-speaking young adults from Lebanon.

Enhancing Al-Air Battery Performance with Beta-d-Glucose and Adonite Additives: A Combined Electrochemical and Theoretical Study.

Al-air batteries are distinguished by their high theoretical energy density, yet their broader application is hindered by hydrogen evolution corrosion. This research focuses Beta (+) d-glucose (S1) and Adonite (S2) as potential corrosion inhibitors for the Al-5052 alloy within a 4 M NaOH solution. Utilizing electrochemical techniques, hydrogen evolution assessments, and surface analyses, our findings indicate enhancements in anode utilization by 21.

Facile synthesis of g-CN@Sulfated titania nanocomposites with enhancement visible-light degradation of dyes and antibiotics: Mechanistic and DFT studies.

The photocatalytic efficiency of TiO has been opposed by the fast recombination speed of photogenerated carriers. Here, g-CN -modified sulfate-built-in TiO quantum dots (ST-QDs) were successfully created using a simple ultrasonication-thermal procedure. g-CN-enrapped ST QDs with a 10 nm size were revealed by the characterization results.

Impact of smartphone addiction on health status, mental well-being, and sleep quality among medical students in Sudan.

Background: Smartphone use has rapidly increased worldwide. It was estimated that worldwide use of smartphones surpassed 4.3 billion in 2023, which means 54% of the world's population now uses smartphones.

Facile and eco-friendly method of starch nanocrystals esterified with oleic acid using natural clay as a catalyst: Synthesis, Box-Behnken optimization, characterization and analysis of thermal and antioxidant properties.

This study investigates the synthesis of corn starch nanocrystals (SNCs) via sulfuric acid hydrolysis. Esterification of oleic acid (OA) with SNCs was carried out using Maghnite-H as a catalyst, a non-polluting, eco-friendly proton-exchanged montmorillonite-based green catalyst suitable for various chemical processes. Optimization of synthesis parameters, including reaction temperature, duration, and catalyst quantity, was conducted using response surface methodology (RSM) with a central composite design incorporating three factors and three levels.

e-QSAR (Explainable AI-QSAR), molecular docking, and ADMET analysis of structurally diverse GSK3-beta modulators to identify concealed modulatory features vindicated by X-ray.

Glycogen Synthase Kinase-3 beta (GSK-3β) is a crucial enzyme linked to various cellular processes, including neurodegeneration, autophagy, and diabetes. A structurally diverse set of 1293 molecules having GSK-3β modulatory activity has been used. Molecular docking and eXplainable Artificial Intelligence (XAI) have been used concomitantly.

The Anti-hyperglycemic and Anti-hyperlipidemic Effects of Trigonella foenum-graecum L. Seeds on Fructose-induced Diabetic Wistar Rats.

Trigonella foenum-graecum L. (fenugreek) seeds are widely used in the preparation of various meals and in traditional health care to treat various disorders and diseases, especially Diabetes mellitus. This study was conducted to investigate the antihyperglycemic and antihyperlipidemic effects of the fenugreek seed extract on fructose-induced diabetic wistar rats.

A novel adaptive FOCV algorithm with robust IMRAC control for sustainable and high-efficiency MPPT in standalone PV systems: experimental validation and performance assessment.

This paper introduces an innovative, adaptive Fractional Open-Circuit Voltage (FOCV) algorithm combined with a robust Improved Model Reference Adaptive Controller (IMRAC) for Maximum Power Point Tracking (MPPT) in standalone photovoltaic (PV) systems. The proposed two-stage control strategy enhances energy efficiency, simplifies system operation, and addresses limitations in conventional MPPT methods, such as slow convergence, high oscillations, and susceptibility to environmental fluctuations. The first stage dynamically estimates the Maximum Power Point (MPP) voltage using a novel adaptive FOCV method, which eliminates the need for irradiance sensors or physical disconnection of PV modules.

Multilocus sequencing analysis of the rhizobial symbionts isolated from Acacia salicina (Lindl.) grown in different regions in Tunisia reveals putative novel Bradyrhizobium species.

In this study, we investigated various chromosomal and symbiotic markers in 40 bacterial strains that nodulate an invasive alien plant, Acacia salicina Lindl. in Tunisia. Our findings showed that the native rhizobia associated to A.

Essential oil of (L.) ssp. (Apiaceae) flower: chemical composition, antimicrobial potential, and insecticidal activity on (L.).

In order to search for new chemotypes and to carry out a comparative study with the literature, the current study investigated the chemical composition of the essential oil of the flowers of (L.) ssp. using gas chromatography coupled with mass spectrometry (GC-MS).