Background/Aims Based on our earlier study among the elderly in primary care, The prevalence of functional constipation was 13.5% and 20% reported stool frequency <3 per week. In the current study, we aimed to determine predictors of decreased stool frequency among constipated elderly using a hierarchical linear regression model approach. Metho

The effects of poly(lactic‑co‑glycolic acid) (PLGA) on structure, degradation, drug release and mechanical properties relationships of iron-based drug eluting scaffolds have been studied comprehensively. The porous structure of the iron has been incorporated with the curcumin-loaded PLGA (CP) particles through dipping method to produce CP-coate

Higher education sector in Malaysia continues to face changes and pressure on the digital capabilities, socioeconomy technology, industry trends, financial support and universal standard that demand institutional change if success is to be sustained and determined over the long term. International Islamic University Malaysia as one of the public un

The alarming rate of big data usage in the cloud makes data exposed easily. Cloud which consists of many servers linked to each other is used for data storage. Having owned by third parties, the security of the cloud needs to be looked at. Risks of storing data in cloud need to be checked further on the severity level. There should be a way to acce

Particulate matter (PM) is one of the primary pollutants found in the indoor environment. It can cause deterioration of the indoor air quality (IAQ) and is often linked with adverse health effects especially towards susceptible subgroup of the population like children. School children are exposed to PM inside the classroom, as this indoor PM may or

Maintaining current municipal solid waste management (MSWM) for the next ten years would not be efficient anymore as it has brought many environmental issues such as air pollution. This project has proposed Artificial Neural Network (ANN) based prediction algorithm that can forecast Solid Waste Generation (SWG) based on household size factor. Kulli

Maintaining current municipal solid waste management (MSWM) for the next ten years would not be efficient anymore as it has brought many environmental issues such as air pollution. This project has proposed Artificial Neural Network (ANN) based prediction algorithm that can forecast Solid Waste Generation (SWG) based on population growth factor. Th

Introduction: Malaysian is one of the highest sugar consumers in the Asia Pacific region. There has been no available report quantifying sugar intake among Malaysian until Malaysian Adult Nutrition Survey (MANS) 2003 study was done. However, data concerning sugar consumption among university students is scarce. Objective/aim: This study was conduct

As transistor sizes scale down to nanometres dimensions, CMOS circuits become more sensitive to radiation. High-performance static random access memory (SRAM) cells are prone to radiation-induced single event upsets (SEU) which come from the natural space environment. The SEU generates a soft error in the transistor due to the strike of an ionizing

A top-down silicon nanowire fabrication using a combination of optical lithography and orientation dependent etching (ODE) has been developed using a doped Silicon-on Insulator (SOI) as the starting substrate. The use of ODE etchant such as potassium hydroxide (KOH) and Tetra-Methyl Ammonium Hydroxide (TMAH) is known to create geometrical structure