Publications by authors named "W Y Ong"
Palm kernel meal (PKM) presents a challenge for non-ruminant livestock feeding due to its high fibre content predominantly in the form of mannan. Microbial fermentation offers a sustainable solution for fibre hydrolysis in lignocellulosic biomass. In this study, a Bacillus subtilis strain (F6), with high mannanase secretion capability, was isolated from the environment.
View Article and Find Full Text PDFDeveloping bifunctional electrocatalysts from earth-abundant first-row transition metals for large-scale hydrogen production through water electrolysis is both promising and challenging. This study presents a ternary layered double hydroxide (LDH) as a bifunctional electrocatalyst for the hydrogen evolution reaction (HER) and benzyl alcohol oxidation (BAOR). The synergy between 2D NiFeCo LDH and non-Ti-based NbCT MXene enhances electrochemical performance.
View Article and Find Full Text PDFIntroduction: Myasthenia gravis (MG) can be classified according to clinical features into ocular MG (OMG) and generalised MG (GMG). However, OMG carries the risk of conversion to GMG. In this study, we aimed to determine the predictive factors for the secondary generalisation of OMG patients.
View Article and Find Full Text PDFArticle Synopsis
- Adverse drug reactions (ADRs) are prevalent, particularly in older adults, leading to serious health issues and high healthcare costs, prompting a need for better prediction models.* -
- A systematic review included eight studies on ADR-risk prediction tools for older adults, finding mixed results in their reliability and poor adherence to established reporting guidelines (TRIPOD).* -
- The findings indicate a need for improved prediction models that are both validated and practical for real-world application to better assess their effectiveness and usability.*
Background Context: Secure institutional large language models (LLM) could reduce the burden of noninterpretative tasks for radiologists.
Purpose: Assess the utility of a secure institutional LLM for MRI spine request form enhancement and auto-protocoling.
Study Design/setting: Retrospective study conducted from December 2023 to February 2024, including patients with clinical entries accessible on the electronic medical record (EMR).