City University of Macau

Structural integrity facilitates multi-layer modulation of the brain-metabolome-microbiota network by Lilium lancifolium-derived vesicles in depression

Plant-derived vesicles (PDVs) have emerged as promising natural nanotherapeutics with multi-component cargo profiles and potential biological activity. However, their delivery behavior and mechanisms of action, particularly in complex neuro-immune-metabolic disorders such as depr...

When Visuals Meet People with Disabilities: How Destination Image Featuring Disability Drives Travel Intention?

This research investigates how featuring people with disabilities in tourism destination images on social media shapes viewers’ travel intention. Guided by warm glow theory, a mixed-methods approach was employed, comprising a field study, semi-structured interviews, and five onli...

Revisiting feeling rules: how emotional labour fosters emotional capital among hospitality and tourism interns in Macao

While emotional labour is well-established in hospitality research, existing scholarship predominantly focuses on established employees, largely overlooking how organisational novices navigate professional socialisation. Specifically, how liminal cohorts like interns manipulate o...

From Clicks to Care: How Digital Leadership Shapes Service Employee Well-Being

This study explores how digital leadership shapes psychological well-being among service employees in China, focusing on the mediating role of digital communication quality and the moderating influence of knowledge sharing willingness. Drawing on Social Exchange Theory, we develo...

Co-optimization of storage service scheduling and bidding strategies for community-shared energy storage: a distributionally robust bi-level model

The co-optimization of market participation and user-side service provision is key to ensuring the effective operation of community-shared energy storage systems. In fulfilling this dual role, while user-side storage consumes finite resources, it introduces critical flexibility f...

CalliGAN: multi-scale gradient and self-attention GAN for ancient calligraphy synthesis

Chinese calligraphy synthesis supports digital heritage preservation, but remains challenging due to complex brushstrokes and global structural requirements. We present CalliGAN, a Generative Adversarial Network (GAN) with two variants: CalliGAN-Gen for unconditional character ge...

Quantifying authenticity in historic districts: an integrated framework of morphological indicators and social perception based on Scenes Theory

Tourism commercialization poses growing challenges to the preservation of authenticity in historic districts. Current conservation practices often focus on physical spaces, yet may overlook the integrity of “Scenes” as an integration of material and intangible elements, potential...

The heritage dilemma: balancing commercial viability with cultural integrity

Purpose This study aims to address a critical challenge in safeguarding intangible cultural heritage by examining how meaningful experiences stimulate word-of-mouth (WOM) storytelling in the context of Cantonese Opera. Moving beyond traditional outcome measures such as satisfacti...

Creating Psychological Ownership Through Augmented Reality

ABSTRACT Augmented reality (AR) technologies are a disruptive innovation that is reshaping innovation strategies in luxury retail. This study developed a framework to explain how the attributes of AR technologies, namely AR quality, haptic imagery and customisation, shape consume...

A Stock Market Price Prediction Model Integrating a CNN–Transformer Dual-Channel Dynamic Attention Architecture

Stock market price prediction remains a persistent challenge owing to the non-stationarity, high noise content, and intricate spatiotemporal dependencies that characterize financial time series. Existing approaches typically excel at either local pattern extraction or long-range...

Development and validation of a scale of assessing students' integration of generative AI in learning based on the SAMR model

This study aimed to develop and validate a scale for measuring students' integration of generative AI, grounded in the SAMR (Substitution, Augmentation, Modification, and Redefinition) model. The study included 1295 participants selected through convenience sampling. Item analysi...