Experiences and overall impact reported by people living with obesity: results from a multinational study.

Objectives: To explore the impact of obesity on clinical outcomes, health-related quality of life, emotional well-being, and work productivity in people/patients with obesity across six countries by body mass index and the presence of complications.

Methods: Adelphi Real World Obesity Disease Specific Programme™ captured data related to physicians and their consulting people/patients with obesity on a weight management program or anti-obesity medication in Brazil, Canada, China, Japan, Kingdom of Saudi Arabia, and the United Arab Emirates from April to December 2022. Physicians reported data for up to eight qualifying people/patients with obesity.

Integrating Machine Learning and Pharmacophore Features for Enhanced Prediction of H1 Receptor Blockers.

Introduction: Histamine Type I Receptor Antagonists (H1 blockers) are widely used to mitigate histamine-induced inflammation, particularly in allergic reactions. Histamine, a biogenic amine found in endothelial cells, vascular smooth muscle, bronchial smooth muscle, and the hypothalamus, is a key player in these responses. H1 blockers are essential in cough syrups and flu medications and are divided into two generations: first-generation H1 blockers, which are sedating and have numerous side effects, and second-generation blockers, which are non-sedating and generally less toxic but may still exhibit cross-reactivity with other receptors.

Unlocking the Potential of miRNAs in Sepsis Diagnosis and Prognosis: From Pathophysiology to Precision Medicine.

The clinical syndrome appears as a dysregulated host response to infection that results in life-threatening organ dysfunction known as Sepsis. Sepsis is a serious public health concern where for every five deaths in ICU there is one patient who dies with sepsis worldwide. Sepsis is featured as unbalanced inflammation and immunosuppression which is sustained and profound, increasing patient susceptibility to secondary infections and mortality.

Resilience as a predictor of internet addictive behaviours: a study among Ghanaian and Saudi samples using structural equation modelling approach.

This study aimed to examine the relationship between resilience and internet addictive behaviours, focusing on cross-cultural contexts involving tertiary education students in Ghana and Saudi Arabia. Using a cross-sectional survey design, data were collected from 738 students across selected universities in both countries. Structural equation modeling (SEM) techniques were employed to analyse the data.

Barriers to nurse-led delirium management in intensive care units: an integrative systematic review using COM-B model.

Background: Development of effective guideline for delirium management is still seeking nowadays. As nurses are in the first confrontation line for delirium, their prospective in identifying barriers are essential in developing integrated strategies and clinical guidelines.

Objective: To explore the barriers focusing on intensive care unit (ICU) nurses' point of views to provide an evidence-based support for effective nurse-led delirium management in ICU settings.

Pattern of antibiotic dispensing at pharmacies according to access, watch, reserve (AWaRe) classification: multicenter study after COVID-19 waves in different districts of Pakistan.

Objective: The dispensing of non-prescription antibiotics is a worldwide concern, and antibiotics should only be dispensed with a legitimate prescription.

Methodology: A cross-sectional study was conducted using the simulated client methodology, with data collected, recorded, and analyzed using SPSS.

Results: The simulated client visited 210 pharmacies, of which 70 dispensed antibiotics without a prescription.

Evaluating dental students' satisfaction in clinical Periodontics courses at KSAU-HS: a cross-sectional study.

Background: The National Commission for Academic Accreditation and Assessment (NCAAA) in Saudi Arabia underscores the importance of assessing student satisfaction to ensure program quality. No previous studies have explored the satisfaction levels of dental students enrolled in clinical Periodontics courses at King Saud Bin Abdulaziz University for Health Sciences (KSAU-HS). This study aims to assess dental students' satisfaction with clinical Periodontics courses and to explore potential differences in satisfaction based on gender and academic level.

Methylenetetrahydrofolate reductase () C677T and A1298C polymorphisms are associated with major depressive disorder in the Saudi patients attending Erada complex for mental health and Erada services - Jeddah, Saudi Arabia.

: Major Depressive Disorder (MDD) is a prevalent and debilitating mental disorder that has been linked to hyperhomocysteinemia and folate deficiency. These conditions are influenced by the methylenetetrahydrofolate reductase () gene, which plays a crucial role in converting homocysteine to methionine and is essential for folate metabolism and neurotransmitter synthesis, including serotonin. : This study explored the association between and polymorphisms among Saudi MDD patients attending the Erada Complex for Mental Health and Erada Services outpatient clinic in Jeddah, Saudi Arabia.

Leading Women in Respiratory Care: Letter From Saudi Arabia.

Special Series: Leading Women in Respiratory Clinical Sciences.

Privacy-preserving approach for IoT networks using statistical learning with optimization algorithm on high-dimensional big data environment.

In the present digital scenario, the explosion of Internet of Things (IoT) devices makes massive volumes of high-dimensional data, presenting significant data and privacy security challenges. As IoT networks enlarge, certifying sensitive data privacy while still employing data analytics authority is vital. In the period of big data, statistical learning has seen fast progressions in methodological practical and innovation applications.

Thermophysical analysis of time-dependent magnetized Casson hybrid nanofluid flow (Cu + GO/Kerosene Oil) using Darcy-Forchheimer and thermal radiative models for industrial cooling applications.

This paper presents an in-depth analytical investigation into the time-dependent flow of a Casson hybrid nanofluid over a radially stretching sheet. The study introduces the effects of magnetic fields and thermal radiation, along with velocity and thermal slip, to model real-world systems for enhancing heat transfer in critical industrial applications. The hybrid nanofluid consists of three nanoparticles-Copper and Graphene Oxide-suspended in Kerosene Oil, selected for their stable and superior thermal properties.

The impact of bleaching using 15% carbamide peroxide on surface properties of CAD-CAM composite structures.

This study aims to evaluate the effects of the home bleaching method on the surface microhardness and surface roughness of both polished and unpolished CAD-CAM resin composite materials. A polymer-infiltrated ceramic network (PICN) block, Enamic (VE), along with four resin composite blocks (RCB) (Grandio [GN], Lava™ Ultimate [LV], BRILLIANT Crios [B], and Cerasmart [CS]), were prepared to dimensions of 14 mm × 12 mm × 2 mm and were categorized into unpolished and polished groups (n = 4). Microhardness measurements were conducted using a Vickers microhardness tester (300 gf load for 20 s) at various time points: before home bleaching, after home bleaching with 15% Opalescence for 8 h and for 56 h, 24 h after bleaching, and one month after bleaching.

Multi task opinion enhanced hybrid BERT model for mental health analysis.

Understanding the nuanced emotions and points of view included in user-generated content remains challenging, even though text data analysis for mental health is a crucial instrument for assessing emotional well-being. Most current models neglect the significance of integrating viewpoints in comprehending mental health in favor of single-task learning. To offer a more thorough knowledge of mental health, in this study, we present an Opinion-Enhanced Hybrid BERT Model (Opinion-BERT), built to handle multi-task learning for simultaneous sentiment and status categorization.

Exploration of alcohol dehydrogenase EutG from Bacillus tropicus as an eco-friendly approach for the degradation of polycyclic aromatic compounds.

Polycyclic aromatic compounds (PACs) are pervasive environmental contaminants derived from diverse sources including pyrogenic (e.g., combustion processes), petrogenic (e.

Efficacy of malic and tartaric acid in mitigation of cadmium stress in Spinacia oleracea L. via modulations in physiological and biochemical attributes.

The increasing level of cadmium (Cd) contamination in soil due to anthropogenic actions is a significant problem. This problem not only harms the natural environment, but it also causes major harm to human health via the food chain. The use of chelating agent is a useful strategy to avoid heavy metal uptake and accumulation in plants.

UAV selection for high-speed train communication using OTFS modulation.

Providing continuous wireless connectivity for high-speed trains (HSTs) is challenging due to their high speeds, making installing numerous ground base stations (BSs) along the HST route an expensive solution, particularly in rural and wilderness areas. This paper proposes using multiple unmanned aerial vehicles (UAVs) to deliver high data rate wireless connectivity for HSTs, taking advantage of their ability to fly, hover, and maneuver at low altitudes. However, autonomously selecting the optimal UAV by the HST is challenging.

Sustainability metrics targeted optimization and electric discharge process modelling by neural networks.

Aluminium and its alloys, especially Al6061, have gathered significant interest among researchers due to its less density, great durability, and high strength. Due to their lightweight properties, the precise machining of these alloys can become expensive through conventional machining operations for intricate products. Therefore, non-traditional machining such as electric discharge machining (EDM) can potentially be opted for the cutting of Al6061.

Harnessing phytoconstituents in ethosomes: A new frontier in skin disorder management.

The rising incidence of skin disorders has necessitated the exploration of innovative therapeutic modalities that harness the beneficial properties of natural compounds. Phytoconstituents, renowned for their diverse pharmacological attributes, present considerable promise in the management of various dermatological conditions. This review delineates the integration of phytoconstituents into ethosomal formulations, which are advanced lipid-based carriers specifically designed to enhance transdermal delivery.

Endovascular Thrombectomy for Extracranial Internal Carotid Artery Occlusions With Large Ischemic Strokes: Insights From the SELECT2 Trial.

Background And Objectives: Although previous trials have established the efficacy and safety of endovascular thrombectomy (EVT) in large ischemic core strokes, most of them excluded patients with extracranial internal carotid artery (e-ICA) occlusion. We aimed to compare outcomes in patients with e-ICA occlusion and large ischemic core infarcts treated with EVT vs medical management (MM).

Methods: This was a secondary analysis of the SELECT2 trial, a randomized controlled trial conducted at 31 international sites.

Integrated in silico and in vitro exploration of the anti-VEGFR-2 activities of a semisynthetic xanthine alkaloid inhibiting breast cancer.

This study presents T-1-NBAB, a new compound derived from the natural xanthine alkaloid theobromine, aimed at inhibiting VEGFR-2, a crucial protein in angiogenesis. T-1-NBAB's potential to interacts with and inhibit the VEGFR-2 was indicated using in silico techniques like molecular docking, MD simulations, MM-GBSA, PLIP, essential dynamics, and bi-dimensional projection experiments. DFT experiments was utilized also to study the structural and electrostatic properties of T-1-NBAB.

Assessment of health behaviors of primary school teachers based on their nutritional knowledge and physical activity: A cross-sectional study in the Asir Region.

Background: Primary school teachers play a critical role as educators in imparting healthy eating behaviour and the importance of physical activity to prevent health issues. However, the teachers' health behaviors have not been studied much, particularly in Saudi Arabia. Understanding these factors is essential to developing interventions that enhance teachers' well-being and their ability to influence students positively.

Navigating the shots: Parental willingness to immunize their children with COVID-19 vaccines in Saudi Arabia explored through a systematic review and meta-analysis.

Introduction: Although COVID-19 vaccines have been recommended for children and adolescents since 2021, suboptimal vaccination uptake has been documented. No previous systematic review/meta-analysis (SRMA) investigated parents' willingness to administer COVID-19 vaccines for their children in Saudi Arabia. Accordingly, this SRMA aimed to estimate parents' willingness to immunize their children with COVID-19 vaccines in Saudi Arabia and to identify reasons and determinants influencing parents' decisions.

Dual-hybrid intrusion detection system to detect False Data Injection in smart grids.

Modernizing power systems into smart grids has introduced numerous benefits, including enhanced efficiency, reliability, and integration of renewable energy sources. However, this advancement has also increased vulnerability to cyber threats, particularly False Data Injection Attacks (FDIAs). Traditional Intrusion Detection Systems (IDS) often fall short in identifying sophisticated FDIAs due to their reliance on predefined rules and signatures.