Macau University of Science and Technology

Disaster-related information support systems for families of older adults with special healthcare needs: A scoping review

Based on the theory of structural vulnerability, this study systematically examines the characteristics and underlying mechanisms shaping information needs among families of older adults with special healthcare needs in disaster contexts, providing a theoretical foundation for de...

Exploring hydrogen production from plastic waste for urban transportation in Hong Kong and its environmental impact mitigation: integrating dynamic material flow analysis and life cycle assessment

Plastic waste to hydrogen technology offers a sustainable clean energy pathway while reducing landfill and incineration burdens. However, its feasibility as a feedstock for urban mobility decarbonization at the city scale remains largely unexplored. Hong Kong, as a densely popula...

On matters of love: exploring consumer reactions to algorithmic vs. human dating recommendation agents

Purpose Drawing on agency theory and implicit theory, this research examines how algorithmic versus matchmaker-provided dating recommendation service influence consumers' consideration of using the recommendation service. Design/methodology/approach This research conducted one pi...

Cryptanalysis and Improvement of an Image Cryptosystem via Chaotic Synchronization and Artificial Neural Networks in Modified OTP Scheme

Chaos-based image ciphers may exhibit favorable statistical metrics while retaining a recoverable algebraic structure. We analyze the modified one-time-pad image cryptosystem of Stoycheva et al., which combines static, Chua-system-derived, and neural masks with channel-wise shuff...

DyCoDiff: Dynamic Collaborative Diffusion for Text‐Image‐Audio‐to‐Video

Text‐image‐audio‐to‐video (TIA2V) generation synthesizes videos whose semantics, appearance, and temporal dynamics are jointly controlled by text prompts, reference images, and audio signals. Existing TIA2V methods usually combine these modalities through separate spatial and tem...

Convective Amplification of Ionospheric Feedback by a Finite‐Duration Inertial Alfvén‐Wave Source

Abstract We investigate the ionospheric feedback instability (IFI) driven by a finite‐duration localized source of inertial Alfvén waves. Wave‐excited conductance perturbations undergo Pedersen mobility drift in the convection and wave electric fields and are amplified. A causal...

Reliability and quality of colorectal cancer-related health information videos on social media platforms: a cross-sectional study

Social media video platforms have become major sources of colorectal cancer (CRC) information, yet the reliability and educational value of CRC-related videos remain uncertain across platforms. This study aimed to compare the reliability, overall quality, and educational usabilit...

Metacognition and pathway dynamics in generative AI supported design thinking: A process-sensitive evaluation with network-based cognitive mapping

Generative AI (GenAI) is embedded in design education, yet little is known about how different tools reshape metacognition and the pathways linking ideas to outcomes. We compare three conditions, ChatGPT-4o, DeepSeek-R1, and a no-AI control, in a virtual reality cultural heritage...

Local Generation of Plasmaspheric Plume Hiss

Abstract The statistical analysis of hiss waves observed in the plasmaspheric plume (Wu et al., 2026, https://doi.org/10.1029/2026gl121667 ) is significant for identifying nonlinear wave growth processes in the equatorial region. Because nonlinear growth rates greatly exceed line...

Promoting subjective well-being through pet leisure: motivation, participation, and place attachment in urban spaces

While pet ownership is increasingly recognized as a vital contributor to human well-being, the specific behavioral and psychological mechanisms linking pet-related activities to owner happiness remain underexplored. This study establishes an empirical framework to investigate how...

BurnAreaNet: a deep learning method for total body surface area estimation from 2D masks

Accurate estimation of total body surface area (TBSA) is critical for burn diagnosis, triage, and prognosis. It represents the burned area as a proportion of the total body surface area, and is usually expressed as a percentage value. Traditional methods are subjective, while exi...

Driving mechanisms of a new SVR-based trend anomaly in China’s A-share market

This paper constructs a multi-horizon trend signal using support vector regression trained on short-, medium-, and long-term moving averages to capture asynchronous trading behaviours of heterogeneous investors. Long-short portfolios sorted on the trend signal yield significant r...

Programming Hydrophobic Nanocavity of DNA Frameworks for Ultrastable Fluorescent Imaging

ABSTRACT Fluorescent proteins (FPs) are widely used in biological imaging, yet their limited programmability restricts adaptability for advanced nanoscale applications. Synthetic molecular containers offer designable cavities but struggle to simultaneously achieve large dimension...

A nomogram for predicting the risk of incident LDL-C elevation in type 2 diabetes mellitus: development and external validation in a community-based cohort

Dyslipidemia is a major risk factor for cardiovascular complications in patients with type 2 diabetes mellitus (T2DM), and early risk assessment may help inform follow-up and lipid monitoring. This study aimed to develop and externally validate a nomogram based on Cox proportiona...

On solute dispersion by electroosmotic flow through a rectangular micro-channel subject to wall absorption

This paper investigates the all-time development of hydrodynamic solute dispersion in a two-dimensional electroosmotic flow through a three-dimensional rectangular microchannel with walls that absorb solute at a constant rate. The solute transport problem is solved by extending t...

Microbial biotransformation of plant-derived bioactive compounds: structural modifications, enhanced bioavailability, and functional food applications

Abstract Plant-derived bioactive compounds, including polyphenols, polysaccharides, alkaloids, terpenoids/saponins, lignans and glucosinolates, are widely valued for their health-promoting potential, yet poor bioavailability and, in several cases, biological inactivity in native...

Reusable R analysis modules accompanying "Multi-scale integration identifies an ox-LDL-autophagy-inflammasome framework linking osteoporosis and neurodegeneration"

This software package accompanies the manuscript Multi-scale integration identifies an ox-LDL-autophagy-inflammasome framework linking osteoporosis and neurodegeneration. The package contains six reusable R modules for data input and validation, statistical and complex-survey ana...

LC−MS-Based Chlorine-Signature Query Engine Strategy for Automated Discovery of Phosphate-Containing Metabolites

Abstract Comprehensive profiling of phosphate-containing compounds (PCCs) in untargeted metabolomics remains challenging due to their high hydrophilicity, poor separation, and low stability, which hampers high-throughput screening from large-scale liquid chromatography−mass spect...

Enhancement of hippocampal synaptic AMPA receptor function by the antidepressant tianeptine and by opioid peptides

Management of major depressive disorder (MDD) with conventional therapeutics that enhance monoaminergic neurotransmission requires prolonged treatment prior to clinical benefit and a substantial proportion of patients show little or no improvement. Identifying alternative molecul...

Combining network toxicology with machine learning and experiment validation to analyze the molecular mechanism and core target screening of aristolochic acid nephropathy

Aristolochic acid nephropathy (AAN), a rapidly progressive kidney disease caused by aristolochic acid (AA), frequently progresses to end-stage renal disease and lacks effective therapy. The molecular targets that couple AA exposure to renal injury remain further defined. This stu...