University of Aden

A narrative review of occupational and community acquired infections among healthcare workers including exposure routes risk factors and infection prevention and control strategies from 2015 to 2025

Abstract Healthcare workers (HCWs) face infection risks through patient care, specimen processing, sharps, contaminated environments, and exposures outside healthcare settings. Vulnerability was illustrated during COVID-19, when the World Health Organization estimated that 80,000...

ECO-EDGE: joint DAG offloading and fabric routing in Multi-AP MEC via conic optimization

Mobile Edge Computing (MEC) enables low-latency services by migrating computational resources closer to end-users. However, as mobile workloads increasingly adopt complex Directed Acyclic Graph (DAG) topologies, system performance is strongly affected by interdependent data shuff...

Cluster headache care gaps among primary healthcare physicians in the Middle East, North Africa, and Türkiye: a multinational study

Cluster headache is one of the most severely disabling primary headache disorders and is frequently associated with diagnostic delay, inappropriate treatment, disability, and substantial psychosocial burden. Because primary healthcare (PHC) physicians are commonly the first point...

Population genomics unravel structural variation of venom-encoding genes across the desert viper genus Cerastes

Understanding the molecular mechanisms underlying phenotypic differentiation is central to evolutionary biology. Yet most traits are shaped by complex, polygenic architectures, making links between genomic change and phenotype difficult to resolve. Venom provides an advantageous...

Speckle aware attention and multi scale pooling for robust breast ultrasound lesion classification across multiple benchmarks

Breast ultrasound (BUS) is widely used for lesion assessment, yet automatic benign–malignant classification remains challenging owing to speckle noise, weak boundaries, and cross-scanner heterogeneity. We propose SUA-Net, a compact framework that augments an EfficientNet-B0 backb...

Perceptions and attitudes toward patient safety: perspectives of students in the medical and health sciences at the University of Aden, Yemen

Abstract Background Patient safety competencies remain insufficient among health sciences graduates, especially in conflict-affected areas. This study assessed perceptions and attitudes toward patient safety among undergraduate medical students at the University of Aden, Yemen. M...

Seroprevalence of cytomegalovirus IgG and IgM antibodies and associated factors among women with spontaneous abortion in Lahj Governorate, Yemen

Abstract Objectives This study aimed to determine the seroprevalence of anti-CMV IgG and anti-CMV IgM antibodies among women with spontaneous abortion in Lahj Governorate, Yemen. An analytical cross-sectional study was among 110 women with spontaneous abortion. Five milliliters o...

Green synthesis and characterization of zinc oxide nanoparticles using Iphiona scabra DC. ex Decne leaf extract

<title>Abstract</title> Yemeni <italic>Iphiona scabra</italic> (Y <italic>IS</italic> ) is widely employed in traditional medicine for the treatment of various diseases and is abundant available in Yemen. In this study, the aqueous leaf extract of <italic>Iphiona scabra</italic>...

Efficacy of 810 nm low-level laser therapy on muscle regeneration after bupivacaine-induced myonecrosis in a rabbit model

Skeletal muscle tissue has considerable regenerative capacity following injury; yet, this process may be gradual and constrained. Bupivacaine, a local anaesthetic, serves as a model for inducing muscle damage in experimental research. Low-level laser treatment (LLLT), also referr...

Artificial Intelligence (AI) readiness among medical students in Yemen: a cross-sectional study using the MAIRS-MS Scale

Artificial intelligence (AI) is becoming increasingly integrated into modern healthcare and medical education. Recent advances in AI applications, including diagnostic support systems and healthcare technologies, have highlighted the growing need to prepare future healthcare prof...

Patient-level topology-aware graph transformer for breast histopathology classification

Progress in computational pathology is limited not only by model architecture, but also by evaluation design. In breast histopathology benchmarks such as BreaKHis, multiple correlated image tiles often originate from the same patient; consequently, image-wise splits can inflate p...