University of Technology Malaysia

Development of an implementation framework for computational thinking and programming activities

Computational thinking (CT) and programming are increasingly embedded in digital education policies worldwide, yet many systems struggle to translate policy intentions into sustainable classroom practice. Existing frameworks primarily address CT concepts, pedagogy, or assessment,...

Reading Confucian Ethics on the Façade: A Semiotic-Coding Framework for Guangfu Ancestral Halls Demonstrated on the Chen Clan Ancestral Hall

Confucian ethics are widely credited with shaping Guangfu ancestral halls, yet existing scholarship approaches their façades from two disconnected ends: macro-cultural studies treat the façade as an undifferentiated emblem of lineage order, while craft studies document individual...

Solar-DrivenCO2 Hydrogenation to RenewableProducts: A Review of Strategies for Selectivity Tuning

Abstract The urgent need for sustainable, carbon-neutral energy solutions has accelerated interest in solar-driven CO2 hydrogenation into renewable fuels and value-added chemicals while mitigating greenhouse gas emissions. This Review highlights recent advances in catalyst design...

Cryo-instrumentation technique: a temperature-modulated approach to improve the mechanical performance of NiTi endodontic instruments

Background The mechanical behavior and shaping performance of heat-treated nickel–titanium (NiTi) rotary instruments are influenced by temperature-dependent phase transformation. Aim This study evaluated cryo-instrumentation technique, in which NiTi instruments are used under con...

Optimizing Voice-Based Feature Engineering and Machine Learning Pipelines for Early Parkinson’s Disease Detection

Most voice-based Parkinson’s disease studies evaluated a narrow set of models on fixed feature spaces, which limited generalizability and obscured feature–model synergies. Many also neglected fold-wise fitting and runtime measurement, increasing the risk of data leakage and hinde...

Signals from the noise: Decoding global AI discourse in central bank communications

This study examines how artificial intelligence (AI) has entered and evolved within the official communication of central banks. Using an archive of central bankers’ speeches covering 1996–2024, we develop a multi-stage NLP framework that combines an AI–finance lexicon validated...