This study examines whether the relative salience of hotel-review themes varies across guest-origin groups and review years. Structural Topic Modeling was applied to 29,304 Booking.com reviews from 144 hotels in Vietnam collected between 2022 and 2025. A seven-topic solution captured staff/location/breakfast satisfaction, room cleanliness and comfort, amenities and food, walkability, personalized hospitality, leisure settings, and booking/travel logistics. Probability-scale contrasts were standardized over the complementary metadata distribution, with hotel-clustered CR2 inference accounting for within-hotel dependence. Guest-origin heterogeneity was markedly more stable than temporal heterogeneity. Under hotel-clustered inference, 15 of 21 guest-origin contrasts met the within-family false-discovery-rate threshold, compared with 1 of 21 2022-referenced temporal contrasts; 11 guest-origin contrasts showed strong multi-specification evidence. The largest difference was a 27.6-percentage-point higher expected prevalence of the Room cleanliness and comfort topic in Domestic than Western reviews; Domestic reviews also showed an 18.4-percentage-point lower expected prevalence of Staff, location, and breakfast satisfaction. Asian reviews exhibited a distinct profile spanning amenities, walkability, personalized hospitality, travel logistics, and leisure-related content. Temporal evidence was less stable: the 2025–2022 increase in Personalized hospitality and attentive service attenuated after hotel fixed effects, although a separate 2023-referenced analysis identified six supported temporal contrasts. The findings show that guest-origin context is associated with persistent differences in what consumers discuss, whereas annual differences are more dependent on hotel composition and temporal reference. The study advances hotel-review analytics by integrating metadata-conditioned topic prevalence with dependence-aware inference and provides context-specific diagnostic signals beyond aggregate ratings.
Based on probability schemes describing the structure of the coordination sphere of a symmetrically independent structural unit in a crystal, a quantitative criterion for an anti-liquid in presented as a function of coordination number. The obtained result can be applied to problems of classifying crystal structures, including subperiodic ones, in chemical and mineralogical crystallography.
Vietnam ranks among the top countries in terms of both internet traffic and online toxicity. As a result, implementing embedding models for recommendation and content control duties in applications is crucial. However, a lack of large-scale test datasets, both in volume and task diversity, makes it tricky for scientists to effectively evaluate AI models before deploying them in real-world, large-scale projects. To solve this important problem, we introduce a Vietnamese benchmark, VN-MTEB for embedding models, which we created by translating a large number of English samples from the Massive Text Embedding Benchmark using our new automated framework. We leverage the strengths of large language models (LLMs) and cutting-edge embedding models to conduct translation and filtering processes to retain high-quality samples, guaranteeing a natural flow of language and semantic fidelity while preserving named entity recognition (NER) and code snippets. Our comprehensive benchmark consists of 41 datasets from six tasks specifically designed for Vietnamese text embeddings. In our analysis, we find that bigger and more complex models using Rotary Positional Embedding outperform those using Absolute Positional Embedding in embedding tasks. Datasets are available at HuggingFace: https://huggingface.co/collections/GreenNode/vn-mteb-68871433f0f7573b8e1a6686
In this work, a simple and cost-effective method is proposed to synthesize Ag/BiVO4 heterojunction photo-catalyst, a material already popular and well-studied for its photocatalytic performance. The aim is to retain the necessary structural, optical and electrochemical properties of the materials while enhancing their photocatalytic activity. BiVO4 was synthesized by solvothermal method, followed by depositing Ag nanoparticles via photo-reduction using either 40 W LED and 300 W Xenon light. The prepared products were further characterized through various advanced techniques. The photocatalyst activities of the as-synthesized photocatalysts were evaluated by monitoring the photocatatytic degradation of ethylparaben under visible light irradiation. The results indicated that the Ag/BiVO4 heterojunction photocatalysts treated under both 40 W LED 0and 300 W Xenon light exhibited significantly improved in photocatalytic activity compared to bare BiVO4. Notably, the optimized 10%-Ag/BiVO4 catalyst treated under a 40 W LED retained its optimal structure and achieved highly efficient ethylparaben degradation, reaching approximately 94% removal efficiency within 240 min of irradiation. Futhermore, the photocatalytic activity of the Ag/BiVO4 catalyst under 40 W LED was higher than that under 300 W Xenon light, highlighting the advantage of LED illumination, which combines high activity with lower operating costs compared to Xenon lamps. The improvement in photocatalytic peformance of Ag/BiVO4 is primarily attributed to the localized surface plasmonic resonance (LSPR) effect of Ag nanoparticles, which facilitates the electron/hole separation and electrons promotes transfer for production of center dot O2- radicals, thus improving the overall photocatalytic activity. The research also investigates the mechanism of the reaction, the stability of the catalyst and provides insights into developing superior materials for treating persistent organic pollutants in wastewater.
PurposeThis study aims to investigate how green intellectual capital (GIC) contributes to sustainable business performance (SBP) in Vietnam's hospitality sector by examining the mediating roles of green human resource management (GHRM) and green innovation (GI), as well as the enabling influence of environmental regulations (ERs) and green transformational leadership (GTL). It extends the resource-based view, the natural resource-based view and institutional theory by focusing on Vietnam's hospitality industry, which is characterized by labor intensity, uneven regulatory enforcement and cultural barriers to sustainability adoption.Design/methodology/approachA survey was distributed to 436 departmental and general managers from hotels and resorts located in major tourist destinations across Vietnam. The proposed relationships among green capabilities, organizational practices and sustainable outcomes were tested using partial least squares-structural equation modeling.FindingsThe results show that GIC significantly influences GI and GHRM, which in turn enhance SBP, ERs and GTL exert both direct and indirect effects on performance outcomes. The mediation analysis confirms the complementary roles of GI and GHRM in translating GIC into sustainability outcomes. Although these overall effects are generally positive, the findings also reveal boundary conditions related to financial and technical resources that may constrain the implementation of advanced sustainability initiatives in the hospitality sector.Originality/valueThis study enriches sustainability research by illustrating how context-specific dimensions of GIC, including frontline environmental behaviors, organizational processes and stakeholder collaboration, are mobilized through ERs and GTL in an emerging economy characterized by weak institutional enforcement. The findings offer practical knowledge for hospitality managers seeking to integrate sustainability into human resource and innovation systems and provide policymakers with evidence on how regulatory alignment and leadership commitment can jointly accelerate sustainable transformation in the hospitality industry.
