Basic Life Support (BLS) Knowledge Among the Ha'il Region Population, Saudi Arabia: A Cross-Sectional Study.

Aims and background This study aims to evaluate Basic Life Support (BLS) knowledge among residents of the Ha'il region. It will reveal the public's familiarity with BLS and identify sources of BLS knowledge. The findings can guide policymakers in improving BLS training, potentially saving lives, especially during cardiac emergencies.

Fracture resistance and behavior of endodontically treated maxillary premolars with varying ferrule heights and post numbers: A laboratory study.

Purpose: To investigate how varying ferrule heights and the number of glass fiber posts affect fracture resistance and behavior of endodontically treated maxillary first premolars with substantial loss of tooth structure.

Materials And Methods: Twenty-four extracted endodontically treated human maxillary first premolars were divided into three groups (n = 8) based on ferrule height and post number. The groups were as follows: premolars of 2 mm ferrule height that were restored with single posts (control group), premolars of 0.

Usage of double injector for efficient mixing of the fuel behind the ramp injector at supersonic combustion chamber.

This investigation presents extensive computational analyses of the compressible flow near ramp injector with double circular injectors at supersonic combustor of scramjet engine. Comparison of the fuel mixing and fuel jet penetration of hydrogen jet are done for two injector configurations at free stream Mach number of 2. The simulation of the supersonic flow near ramp injector is done via solving RANS equations with computational fluid dynamic technique.

Using Virtual Reality Pablo Gaming in the Post-Operative Rehabilitation of Breast Cancer Patients: Randomized Controlled Trial.

Surgical treatment of breast cancer may lead to physical and psychological side effects. Exercises, especially those aided by virtual reality (VR), can improve both physical and psychological dysfunctions. To explore the effects of exercises using VR through Pablo games Technology on the function, grip strength, wrist ROM, fatigue, pain, activities of daily living (ADLs), and anxiety among post-operative breast cancer females.

Targeting Refractory Triple-Negative Breast Cancer with Sacituzumab Govitecan: A New Era in Precision Medicine.

Advanced triple-negative breast cancer (TNBC) has poorer outcomes due to its aggressive behavior and restricted therapeutic options. While therapies like checkpoint inhibitors and PARP inhibitors offer some benefits, chemotherapy remains ineffective beyond the first line of treatment. Antibody-drug conjugates (ADCs) like sacituzumab govitecan-hziy (SG) represent a significant advancement.

Novel antimicrobial strategies for diabetic foot infections: addressing challenges and resistance.

Aims: This review examines the challenges posed by Diabetic Foot Infections (DFIs), focusing on the impact of neuropathy, peripheral arterial disease, immunopathy, and the polymicrobial nature of these infections. The aim is to explore the factors contributing to antimicrobial resistance and assess the potential of novel antimicrobial treatments and drug delivery systems in improving patient outcomes.

Method: A comprehensive analysis of existing literature on DFIs was conducted, highlighting the multifactorial pathogenesis and polymicrobial composition of these infections.

Double diffusive MHD stagnation point flow of second grade fluid in non-Darcy porous media under radiation effects.

Non-Newtonian fluids are also widely used in a variety of scientific, engineering, and industrial domains, including the petroleum sector and polymer technologies. They are vital in the development of drag-reducing agents, damping and braking systems, food manufacturing, personal protective equipment, and the printing industry. Fluid movement and transport via porous materials draw a lot of attention; they are important in science and technology.

An integrated approach using social support theory and technology acceptance model to investigate the sustainable use of digital learning technologies.

The present study explored the determinants influencing students' intentions towards utilizing digital learning technologies (DLTs). It proposes a holistic view model for students' utilization of digital learning technologies by integrating social support theory and the "Technology Acceptance Model" (TAM). Data were gathered from 262 students of the University of Ha'il through utilizing a questionnaire.

Eco-reliable operation based on clean environmental condition for the grid-connected renewable energy hubs with heat pump and hydrogen, thermal and compressed air storage systems.

Energy hubs, with their diverse regeneration and storage sources, can engage concurrently in energy transfer and storage. It is anticipated that managing the energy of these hubs within energy networks could enhance economic, environmental, and technical metrics. This article explains how electrical and thermal network hubs manage their energy consumption in the context of the multi-criteria objectives of efficiency, sustainability, reliability of the network operator, and operation.

Computational models based on machine learning and validation for predicting ionic liquids viscosity in mixtures.

This research article presents a thorough and all-encompassing examination of predictive models utilized in the estimation of viscosity for ionic liquid solutions. The study focuses on crucial input parameters, namely the type of cation, the type of anion, the temperature (measured in Kelvin), and the concentration of the ionic liquid (expressed in mol%). This study assesses three influential machine learning algorithms that are based on the Decision Tree methodology.

Enhancing early detection of Alzheimer's disease through hybrid models based on feature fusion of multi-CNN and handcrafted features.

Alzheimer's disease (AD) is a brain disorder that causes memory loss and behavioral and thinking problems. The symptoms of Alzheimer's are similar throughout its development stages, which makes it difficult to diagnose manually. Therefore, artificial intelligence (AI) techniques address the limitations of manual diagnosis.

Antioxidant Effects of Moringa oleifera Against Abamectin-Induced Oxidative Stress in the Brain and Erythrocytes of Rats.

The current study was conducted to explore the phytochemical composition and in vitro antioxidant activity of Moringa oleifera leaves aqueous extract (MOLE), as well as its in vivo modulatory effects on abamectin (ABM)-induced oxidative stress in rat erythrocytes and brain tissue. Following extraction, the total phenolic, flavonoid, condensed tannin and ortho-diphenolic contents of MOLE were determined. High-performance liquid chromatography (HPLC) analysis allowed the identification and the quantification of 12 bioactive compounds: gallic acid, chlorogenic acid, caffeic acid, vanillic acid, quercetin, ferulic acid, ascorbic acid, alizarin, hesperidin, neohesperidin, resveratrol, and naringin.

Optimization of convolutional neural network and visual geometry group-16 using genetic algorithms for pneumonia detection.

Pneumonia is still a major global health issue, so effective diagnostic methods are needed. This research proposes a new methodology for improving convolutional neural networks (CNNs) and the Visual Geometry Group-16 (VGG16) model by incorporating genetic algorithms (GAs) to detect pneumonia. The work uses a dataset of 5,856 frontal chest radiography images critical in training and testing machine learning algorithms.

Immunopharmacological Insights into Cordyceps spp.: Harnessing Therapeutic Potential for Sepsis.

Cordyceps spp. (CS), a well-known medicinal mushroom that belongs to Tibetan medicine and is predominantly found in the high altitudes in the Himalayas. CS is a rich reservoir of various bioactive substances including nucleosides, sterols flavonoids, peptides, and phenolic compounds.

Potential VEGFR2 inhibitors for managing metastatic cervical cancer: insights from molecular dynamics and free energy landscape studies.

Metastatic cervical cancer, the advanced stage where the cancer spreads beyond the cervix to other parts of the body, poses significant treatment challenges and is associated with poor survival rates. Vascular Endothelial Growth Factor Receptor 2 (VEGFR2), a critical angiogenic mediator, is upregulated in metastatic cervical cancer, driving the formation of new blood vessels that fuel tumor growth and spread, making it an attractive target for anti-angiogenic therapies aimed at halting metastasis. This study aims to determine the anti-angiogenic effects of natural compounds to identify new VEGFR2 inhibitors for managing metastatic cervical cancer.

The mediating role of nurses' spiritual well-being between moral resilience and compassion fatigue: A multicenter structural equation model study.

Aims: To investigate the mediating role of spiritual well-being in the association between compassion fatigue and moral resilience among nurses.

Background: Nurses are inevitably placed in situations of compassion fatigue. Their moral resilience and spiritual well-being may play a crucial role in mitigating the impacts of compassion fatigue.

Synthesis of photo-responsive κ-carrageenan-based hydrogels for drug delivery application.

Natural polymer-based hydrogels may act as versatile platforms in controlled drug delivery. In this regard, photoactive κ-carrageenan (κ-Crg) hydrogels modified with cinnamate (CN) groups are developed for pH-sensitive release of drugs. κ-Crg-CN derivatives containing 17 %, 33 %, and 49 % cinnamate contents, named κ-Crg-CN1, κ-Crg-CN2, and κ-Crg-CN3, respectively, are prepared and cross-linked by UV-induced [2π + 2π] cycloaddition.

Extract Mitigates Doxorubicin-Induced Hepatotoxicity in Male Rats.

Doxorubicin (DOX), an anticancer drug, is used to treat several types of tumors, but it has detrimental side effects that restrict its therapeutic efficacy. One is the iron-dependent form of ferroptosis, which is characterized by elevated ROS production and iron overload. has a diverse range of biological and pharmaceutical actions due to their antioxidant properties.

Damage Investigation in PMMA Polymer: Experimental and Phase-Field Approaches.

The prediction of crack patterns is one of the main tasks in the field of fracture mechanics in order to prevent the total damage of various materials, particularly Methyl Methacrylate Polymer (PMMA). The few data in the literature underscores the need for additional experiments on PMMA to analyze the performance of the phase-field approach to predict crack trajectories. The main purpose of this study is to verify the accuracy of the phase-field approach with a staggered scheme, based on spectral decomposition, for predicting crack propagation in PMMA specimens by comparing it with the experimental results presented in this work.

Predicting enthalpy of formation of benzenoid hydrocarbons and ordering molecular trees using general multiplicative Zagreb indices.

Many existing studies show that there exists a strong relationship between structures and characteristics of molecules. Topological indices are often used in modeling the properties of chemical compounds and biological activities in theoretical chemistry. Topological indices are numerical values associated with structures of molecules in such a way that they remain constant under graph isomorphism.

Nursing students' perceptions of patient safety culture and barriers to reporting medication errors: A cross-sectional study.

Background: Patient safety is critical to high-quality patient care. However, it is liable to medication errors (MEs).

Objective: Therefore, this study assessed perceptions of patient safety culture (PSC) and barriers to reporting MEs among nursing students in Hail City, Saudi Arabia.