Research works

Sustainability as a driver of customer choice: evidence from SMEs in Oman

Purpose This study investigates the impact of sustainability practices on customer choice in the context of small and medium-sized enterprises (SMEs) in Oman. It further examines the roles of customer trust and subjective norm in explaining how sustainability practices influence...

Measurements of erythema effective ultraviolet irradiance in artificial tanning devices in Switzerland

Artificial tanning devices expose users to ultraviolet radiation and are associated with an increased risk of skin cancer. To protect users, Swiss legislation, among other requirements based on the SN EN 60335-2-27, limits the total erythema effective irradiance of artificial tan...

Familial Aplasia Cutis Congenita of Bilateral Lower Limbs: A Rare Variant of Group 7

Aplasia cutis congenita (ACC) is characterized by congenital absence of skin and has a wide clinical spectrum.While scalp involvement is most common, symmetrical limb involvement without epidermolysis bullosa (EB) or other associated anomalies is classified as Group 7 in Frieden'...

Regulatory Policy Changes and Mifepristone Access Through Pharmacies in Australia

Importance In an effort to improve access, the Australian Therapeutic Goods Administration lifted prescribing and dispensing restrictions on mifepristone in August 2023. Mifepristone is approved for medication abortion up to 63 days’ gestation and is marketed in Australia in a co...

Artificial intelligence for clinical data extraction from EHRs in breast cancer trials: the MIRROR study

Manual data entry and curation is the most used method of data collection for real world evidence and clinical trials but is a time-consuming task associated with significant human effort and transcription mistakes. MIRROR is a retrospective study that compared manual data captur...

A Stable Formulation for Wave‐Induced Fracture in Peridynamics

ABSTRACT The bond‐associated quadrature point formulation is a very accurate peridynamic formulation for elasticity, but modeling fracture by the traditional deletion of bonds can trigger severe numerical instabilities. These instabilities are most pronounced for wave‐induced fra...

Deep Learning-Enhanced Lateral-Flow Microarray Biosensor for Multiplexed Inflammatory Biomarker Analysis

Abstract Beyond simply functional integration, achieving synergistic enhancements in multiplex detection, quantitative robustness, and intelligent analysis remains a key challenge for next-generation biosensing platforms in precision diagnostics. Lateral flow biosensors are attra...

Adaptive Soft Robot for Complex Multiple Scenes: Navigating Pipelines, Valves, and Pressure Vessels

ABSTRACT Pipelines, valves, and pressure vessels (PVs) are vital components in nuclear, thermal power, and chemical systems, operating under high temperature and pressure over extended periods, leading to safety risks. Ensuring their safe operation requires regular inspections, w...

Novel noninvasive technique for liver fibrosis evaluation using spatiotemporal analysis of strain elastography

Strain elastography is often limited by its relative nature and failure to capture temporal changes. This study aimed to establish a novel quantitative strain index (Q-SI) integrating spatiotemporal analysis and evaluate its utility for assessing liver fibrosis. This prospective...

Inorganic arsenic promotes bacterial tolerance to antibiotics in community-derived Escherichia coli isolates

The rise of antibiotic resistance cannot be explained solely by antibiotic misuse; inadvertent exposure to naturally occurring antimicrobials such as heavy metals and metalloids may also contribute. Arsenic, a toxic metalloid with antimicrobial properties, has been linked to incr...

Periodontitis GWAS Reveal Immune‐Biased Heritability Without Gingival Cell‐Type Resolution

Three methodologically distinct analyses partition periodontitis common-variant heritability across 27 gingival cell types. They agree on an immune-over-stromal direction but nominate three different top cell types, and a low-power analysis inverts the fibroblast signal; the curr...

Assessing Graph Data Serialization and Context Selection for Knowledge-Augmented Question Answering with Large Language Models

Large language models (LLMs) can produce inaccurate answers even when relevant facts are supplied in the prompt. This study examines how graph data serialization, entity identifiers, and context selection affect factual question answering in knowledge-augmented prompting. Four sy...

Agreement of markerless and marker-based joint kinetics in team sport-specific change-of-direction movements

Abstract Markerless (ML) motion capture is a practical alternative to marker-based (MB) systems, yet its ability to estimate joint kinetics during team sport-specific movements remains unclear. This study evaluated the agreement between ML and MB lower extremity joint moment esti...

Learning experience and its associated risk factors during the post-pandemic period: a structural topic modelling analysis

Although ample research has assessed the learning experience of secondary school students during the pandemic, few studies were conducted in the immediate post-pandemic period, when remote learning was extensively operated alongside in-person learning in secondary education. As s...

Enhancing the translational potential of the ovine pulmonary adenocarcinoma model

Ovine pulmonary adenocarcinoma (OPA) is a transmissible lung cancer of sheep caused by Jaagsiekte sheep retrovirus (JSRV), resulting in substantial animal welfare concerns and economic losses worldwide. We previously developed a bronchoscopic JSRV catheter instillation technique...

Research Progress on the Application of Nanopore Long-Read Sequencing Combined with DNA Methylation Marking in Complex Forensic Evidence

Background In the analysis of complex forensic material evidence, conventional detection methods for highly degraded, trace, or mixed samples present several limitations, such as low typing success rates and limited information dimensions. Methods This study systematically examin...

The Fundamentals of Halide Perovskite Instability: CsPbBr3 as a Model System

Halide perovskites (HPs) exhibit outstanding optoelectronic properties, making them highly attractive for advanced photonic and electronic applications. Among them, cesium lead bromide (CsPbBr3) exhibits high photoluminescence efficiency, narrow emission linewidths, and excellent...

Socio-economic contributions of the Ethiopian Green Legacy Initiative as a pathway to sustainable development: Systematic Review

Ethiopia faces interconnected challenges of land degradation, climate change, and rural poverty. In response, the government launched the Green Legacy Initiative (GLI) in 2019, a nationwide afforestation and reforestation program aimed at planting billions of seedlings annually....

DBA-Net: Dual-Branch Asymmetric Attention Network for Multitask Perception in Autonomous Driving Under Challenging Environments

Multitask perception has emerged as a critical technology for autonomous driving systems. Despite significant progress, current systems remain vulnerable to environmental variations, particularly challenging lighting conditions (e.g., low-light scenarios, sudden illumination chan...

Physics-constrained diffusion-based data augmentation for active sonar under low-SNR sea conditions

The limited availability of real sea-trial target echoes restricts the training of data-driven active sonar detection models. Simulated echoes can increase the sample size, but their distributions often differ from those of real ocean environments. To address this problem, this p...