Buraydah Colleges

Design of a novel chimeric multi-epitope vaccine construct against Staphylococcus lugdunensis using pan-genome analysis and immunoinformatics approaches

Abstract Staphylococcus lugdunensis has emerged as an increasingly important opportunistic pathogen associated with invasive infections and rising antimicrobial resistance, creating a need for new preventive approaches. In this study, a reverse-vaccinology strategy integrated wit...

Characterizing optimal task latency in mobile edge computing both mathematically and metaheuristically

Abstract A large body of research has recently focused on minimizing task latency in mobile edge computing (MEC). Researchers in the field have typically posed the minimization exercise as a non-convex optimization problem and solved it either mathematically or metaheuristically,...

Oncology nurse navigator core competencies and patient satisfaction

Oncology nurse navigators (ONNs) are increasingly recognized for their vital role in improving the quality of cancer care by supporting patients throughout their treatment journey. In Egypt, nurse navigation implementation remains limited, and empirical evidence examining the rel...

Algorithm-based approach to the management of rhino-maxillary mucormycosis: part II of a two-part study

Rhino-maxillary mucormycosis (RMM) is an aggressive, life-threatening fungal infection associated with substantial morbidity and mortality. While early diagnosis is universally advocated, robust quantitative evidence delineating how defined diagnostic delays influence objective c...

Multisensory retail atmospherics and patronage intention in Saudi food-related shopping-mall destinations: Congruence, overload, well-being and sensitivity

Background This cross-sectional study examined the associations linking multisensory retail atmospherics with patronage intention in Saudi food-related shopping-mall destinations through sensory, emotional, experiential and satisfaction-related mechanisms. Methods Data from an on...

Maximizing power transfer with ZVS/ZDS in a push–pull Class E inverter for induction heating

This paper presents the design, experimental performance evaluation, and comprehensive analysis of a proposed Class E Zero-Voltage-Switching push–pull inverter, specifically optimized to maximize power transfer from the source to the load in an induction heating application. The...

Cracking ERα Y537S Resistance: Explainable Machine Learning-Guided Discovery and Molecular Dynamics Validation of Stable Candidate Ligands

Background/Objectives: Endocrine resistance due to activating mutations in the estrogen receptor alpha (ERα), especially Y537S, is still a big challenge in the treatment of hormone receptor-positive breast cancer, and there is a need to develop new small-molecule inhibitors that...

Reference Intervals of Hematological Parameters Among Healthy Newborns in Eastern Sudan: A Hospital-Based Cross-Sectional Study

Background: Accurate interpretation of neonatal complete blood count (CBC) parameters is vital for managing life-threatening conditions in newborns. However, clinical decisions in Eastern Sudan frequently rely on non-local Western-derived or manufacturer-provided reference interv...

OSI Stack Redesign for Quantum Networks: Requirements, Technologies, Challenges, and Future Directions

Quantum communication is emerging as a foundation for next-generation networks, offering unprecedented capabilities in security, entanglement-based connectivity, and distributed computation. However, the classical Open Systems Interconnection (OSI) model, designed for determinist...

Therapeutic Management of Schistosomiasis in Pregnancy: A Comprehensive Review of Praziquantel Safety and Clinical Outcomes

Background/Objectives: Schistosomiasis affects about 250 million people globally, including an estimated 40 million women of reproductive age and over 10 million pregnant women each year. Praziquantel is a key component of schistosomiasis control and is recommended by the World H...

Evaluating parameter-efficient fine-tuning of large language models for sentiment analysis with bayesian optimization

The increasing volume of user-generated reviews and feedback available in digital format provides valuable insights across various domains. Sentiment analysis plays a crucial role in extracting opinions from textual data. Large Language Models (LLMs) have demonstrated exceptional...

Nurses’ Perceptions and Behaviors Regarding Climate Change and Health: A Correlational Study Aligned With Saudi Vision 2030

ABSTRACT Climate change is an escalating threat to population health, placing increasing pressure on healthcare systems. Nurses play a pivotal role in delivering climate‐resilient healthcare; however, evidence regarding their perceptions and climate‐related health behaviors in Sa...

Smoking Cessation Knowledge among Community Pharmacists in Saudi Arabia

Introduction Tobacco use remains one of the most pressing global public health challenges, contributing substantially to the incidence of preventable diseases and premature mortality. In Saudi Arabia, tobacco consumption continues to rise, with an estimated 21.4% of adults identi...

Effectiveness of plasma atherogenic index as a predictor of cardiovascular risk in patients with metabolic syndrome and related cardiometabolic conditions: a systematic review.

Metabolic syndrome (MetS) and cardiovascular-kidney-metabolic syndrome represent escalating global health challenges characterized by complex lipid derangements. While traditional lipid panels are standard, the atherogenic index of plasma (AIP) has emerged as a potentially superi...

Advanced hyperspectral snow and glacier classification using fully connected autoencoders

The accurate classification of snow and glacier surface features is essential for glacier monitoring, mass balance estimation, melt-runoff modeling, and climate impact assessment in high-mountain regions. Hyperspectral imagery provides rich spectral information that enables fine...

NiO‐Decorated Activated Carbon for Selective and High‐Performance Pb(II) Adsorption

ABSTRACT Lead contamination in water systems poses a serious environmental and public health concern, necessitating the development of efficient and selective adsorbents. In this study, a NiO‐decorated activated carbon (NiO@AC) nanocomposite was synthesized via chemical activatio...

Character-Based Arabic Offline Handwritten Text Recognition Using Faster R-CNN

Offline handwritten word recognition has progressed from whole-word classification to sequence transcription, yet many systems depend on large annotated corpora and exploit lexical regularities over explicit character evidence. This paper presents an alternative formulation for A...

Leakage-Aware Multi-Representation EEG Fusion with Confidence-Gated Learnable MLP for Robust Epileptic Seizure Detection

Automated epileptic seizure detection from Electroencephalogram (EEG) signals remains challenging due to the non-stationary nature of EEG activity, strong inter-patient variability, and the tendency of window-based evaluation protocols to produce overly optimistic results when te...

Seasonal dynamics of proximate composition, fatty acid profile, and mineral content in muscle tissue of Diplodus annularis and Zosterisessor ophiocephalus fishes

Seasonal variability significantly affects nutritional quality and the dietary and commercial value of marine fish. This study includes an in-depth seasonal analysis of proximate composition, energetic content, fatty acid profile, and mineral content of Diplodus annularis and Zos...

Why food stays contaminated: a COM-B framework analysis of child feeding practices in Dhaka’s informal settlements

Abstract Background Foodborne diseases are the major public health concerns in low- and middle-income countries, particularly during the complementary feeding period. Children become increasingly exposed to environmental pathogens at this age. Food hygiene during this period is c...