Journal Articles
Permanent URI for this collectionhttps://mro.massey.ac.nz/handle/10179/7915
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Item When AI Meets Livestreaming: Exploring the Impact of Virtual Anchor on Tourist Travel Intention(MDPI (Basel, Switzerland), 2025-09-03) Zhu Z; Hall CM; Tao L; Qin Z; Li Y; Khan J; Belk R; Zuo NThe development of Artificial intelligence (AI) technology has brought new ideas and opportunities to destination marketing. However, existing studies lack sufficient empirical research to explore the impact of AI anchors on tourists’ travel intentions. To fill this research gap, this study explores the influence of perceived anthropomorphism and perceived playfulness on tourists’ telepresence, inspiration, and travel intention in AI virtual anchor-based travel livestreaming. Through the analysis of 291 valid data sets, it was found that in AI virtual anchor-based travel livestreaming, perceived anthropomorphism positively affects telepresence but does not affect tourists’ inspiration. Playfulness positively affects tourists’ telepresence and inspiration in AI virtual anchor-based travel livestreaming. This study also found that neither perceived anthropomorphism nor perceived playfulness directly affects tourists’ travel intention, but both can be achieved through the mediating effect of telepresence. The findings provide empirical evidence of the value for tourism researchers and destinations in adopting AI technology for livestreaming.Item Can fishery subsidy improve fishermen’s income?——evidence from China’s coastal areas(Frontiers Media S.A., 2025-07-09) Li Y; Pham Do KH; Shakur S; Sun X; Paramo JNumerous studies have demonstrated that fishery subsidies play a role in income redistribution, potentially contributing to economic inequality. Additionally, since fishermen are highly dependent on the marine environment, there may be a connection between marine pollution and their income levels. This study explores the effects of fishery subsidies and marine environmental pollution on fishermen’s income and income inequality using panel data from 11 coastal provinces and municipalities in China from 2006 to 2020. Applying panel fixed effect model and quantile regression models, the results show that fishery subsidies significantly increase income, but disproportionately benefit higher-income fishermen, thereby exacerbating income inequality. Moreover, the relationship between marine pollution and income is non-linear: moderate pollution is associated with income gains, while severe pollution reduces income. These findings suggest that subsidy policies should be better targeted, and stricter marine environmental regulation is necessary to protect vulnerable fishing communitiesItem Fishery Resource Conservation Subsidies and Penalties in China: An Evolutionary Game Approach(MDPI (Basel, Switzerland), 2025-07-18) Li Y; Moyle B; Shakur SIn response to the ongoing depletion of fishery resources, many countries now prioritize sustainable fish stock use and ecosystem protection, balancing ecological, economic, and social goals. Fishery subsidies are key in this shift, with their impact depending on design and implementation. In 2020, China introduced marine fishery resource conservation subsidies and simultaneously phased out a 15-year policy of harmful fuel subsidies. This study uses evolutionary game theory to analyze the strategic interactions between government authorities and fishermen across four institutional scenarios, each combining different forms of subsidies and penalties. The findings suggest that a dynamic approach, incorporating both subsidies and penalties, is most effective in promoting legal fishing practices and protecting marine resources. Additionally, the study emphasizes that the effectiveness of subsidies and penalties does not necessarily increase with their scale; instead, both must be carefully calibrated to sustainable and reasonable limits.Item Exploring the Impact of Virtual Reality on Tourists’ Pro-Sustainable Behaviors in Heritage Tourism(MDPI (Basel, Switzerland), 2025-07-09) Zhu Z; Hall CM; Li Y; Zhang X; Coccossis HAlthough the rise of Virtual Reality (VR) technology has brought new opportunities to tourism experiences and marketing, limited research has explored how VR technology affects tourists’ pro-sustainable behaviors in heritage tourism research. To address this research gap, this study constructs a theoretical model by integrating the technology acceptance model (TAM) framework to explore the relationship among perceived ease of use (PEU), perceived usefulness (PUS), awe, attitude, and pro-sustainable behavior of tourists. Through the analysis of 304 valid questionnaires, this study found that in the heritage tourism experience presented by VR, PEU and PUS positively influence awe and attitude. Furthermore, awe positively affects attitude and pro-sustainable behaviors. However, PUS has no effect on tourists’ pro-sustainable behaviors. This study expands the theoretical framework of TAM and the related research on awe in heritage tourism presented by VR, providing valuable practical insights for heritage managers in the adoption of immersive technology.Item Transformer-based multiple instance learning network with 2D positional encoding for histopathology image classification(Springer Nature Switzerland AG, 2025-05) Yang B; Ding L; Li J; Li Y; Qu G; Wang J; Wang Q; Liu BDigital medical imaging, particularly pathology images, is essential for cancer diagnosis but faces challenges in direct model training due to its super-resolution nature. Although weakly supervised learning has reduced the need for manual annotations, many multiple instance learning (MIL) methods struggle to effectively capture crucial spatial relationships in histopathological images. Existing methods incorporating positional information often overlook nuanced spatial correlations or use positional encoding strategies that do not fully capture the unique spatial dynamics of pathology images. To address this issue, we propose a new framework named TMIL (Transformer-based Multiple Instance Learning Network with 2D positional encoding), which leverages multiple instance learning for weakly supervised classification of histopathological images. TMIL incorporates a 2D positional encoding module, based on the Transformer, to model positional information and explore correlations between instances. Furthermore, TMIL divides histopathological images into pseudo-bags and trains patch-level feature vectors with deep metric learning to enhance classification performance. Finally, the proposed approach is evaluated on a public colorectal adenoma dataset. The experimental results show that TMIL outperforms existing MIL methods, achieving an AUC of 97.28% and an ACC of 95.19%. These findings suggest that TMIL’s integration of deep metric learning and positional encoding offers a promising approach for improving the efficiency and accuracy of pathology image analysis in cancer diagnosis.Item A BIM and AR-based indoor navigation system for pedestrians on smartphones(Elsevier Inc. on behalf of the Korean Society of Civil Engineers, 2025-01) Zhang W; Li Y; Li P; Feng ZIndoor navigation technology, as an emerging location information service, has shown continuous growth in its application demand in recent years. In indoor navigation, indoor localization and path planning are the key factors affecting navigation quality. Most of the existing methods rely on traditional methods for indoor localization with high implementation costs. As for path planning, most methods lack the acquisition and use of semantic information, affecting navigation's practicality and intuitiveness. To alleviate the above problems, we propose a building information modeling (BIM) and augmented reality (AR)-based indoor navigation system for pedestrians that can be implemented on smartphones. Specifically, we first map a three-dimensional model space subdivided by a triangular prism to the two-dimensional plane in order to construct an indoor navigation network. Secondly, the information is analyzed using inertial navigation system technology to identify indoor positions. Then, we propose an indoor augmented reality navigation algorithm based on architectural and spatial information (IARA) algorithm for indoor path planning. Finally, we integrated the above technologies and built an indoor pedestrian navigation system based on BIM and AR technologies. Experiments in specific scenarios show that our system ensures navigation stability while obtaining results that are more relevant to the needs of pedestrians.Item Estimates of genomic inbreeding and identification of candidate regions that differ between Chinese indigenous sheep breeds.(BioMed Central Ltd, 2021-08-05) Liu J; Shi L; Li Y; Chen L; Garrick D; Wang L; Zhao FBACKGROUND: A run of homozygosity (ROH) is a consecutive tract of homozygous genotypes in an individual that indicates it has inherited the same ancestral haplotype from both parents. Genomic inbreeding can be quantified based on ROH. Genomic regions enriched with ROH may be indicative of selection sweeps and are known as ROH islands. We carried out ROH analyses in five Chinese indigenous sheep breeds; Altay sheep (n = 50 individuals), Large-tailed Han sheep (n = 50), Hulun Buir sheep (n = 150), Short-tailed grassland sheep (n = 150), and Tibetan sheep (n = 50), using genotypes from an Ovine Infinium HD SNP BeadChip. RESULTS: A total of 18,288 ROH were identified. The average number of ROH per individual across the five sheep breeds ranged from 39 (Hulun Buir sheep) to 78 (Large-tailed Han sheep) and the average length of ROH ranged from 0.929 Mb (Hulun Buir sheep) to 2.544 Mb (Large-tailed Han sheep). The effective population size (Ne) of Altay sheep, Large-tailed Han sheep, Hulun Buir sheep, Short-tailed grassland sheep and Tibetan sheep were estimated to be 81, 78, 253, 238 and 70 five generations ago. The highest ROH-based inbreeding estimate (FROH) was 0.0808 in Large-tailed Han sheep, whereas the lowest FROH was 0.0148 in Hulun Buir sheep. Furthermore, the highest proportion of long ROH fragments (> 5 Mb) was observed in the Large-tailed Han sheep breed which indicated recent inbreeding. In total, 49 ROH islands (the top 0.1% of the SNPs most commonly observed in ROH) were identified in the five sheep breeds. Three ROH islands were common to all the five sheep breeds, and were located on OAR2: 12.2-12.3 Mb, OAR12: 78.4-79.1 Mb and OAR13: 53.0-53.6 Mb. Three breed-specific ROH islands were observed in Altay sheep (OAR15: 3.4-3.8 Mb), Large-tailed Han sheep (ORA17: 53.5-53.8 Mb) and Tibetan sheep (ORA5:19.8-20.2 Mb). Collectively, the ROH islands harbored 78 unique genes, including 19 genes that have been documented as having associations with tail types, adaptation, growth, body size, reproduction or immune response. CONCLUSION: Different ROH patterns were observed in five Chinese indigenous sheep breeds, which reflected their different population histories. Large-tailed Han sheep had the highest genomic inbreeding coefficients and the highest proportion of long ROH fragments indicating recent inbreeding. Candidate genes in ROH islands could be used to illustrate the genetic characteristics of these five sheep breeds. Our findings contribute to the understanding of genetic diversity and population demography, and help design and implement breeding and conservation strategies for Chinese sheep.Item Assessing the genetic variation of tolerance to red needle cast in a Pinus radiata breeding population(Springer-Verlag GmbH Germany, part of Springer Nature, 2018-06-27) Graham NJ; Suontama M; Pleasants T; Li Y; Bader MKF; Klápště J; Dungey HS; Williams NMBreeding for disease resistance or tolerance is a viable option for disease management programmes and is important for the continued success and resilience of planted forests. Red needle cast (RNC) is a disease that affects radiata pine (Pinus radiata) and is caused by Phytophthora pluvialis. Knowledge is still very limited regarding the potential for genetic tolerance to this pathogen. The application of controlled screening techniques is clearly required. Using a detached needle assay, we screened 392 clonally replicated individuals (clones) from an elite P. radiata population for quantitative tolerance to RNC. Data was highly skewed and required logarithmic data transformation and Poisson distributions for the estimation of best linear unbiased predictions. These estimates revealed a broad range in susceptibility/tolerance to RNC, and enabled the identification of clones that were clearly susceptible and clones that were clearly tolerant. There was a high correlation between the number and length of lesions that developed in response to inoculation with P. pluvialis. Broad-sense heritability estimates were low to moderate, indicating that there is potential for improving tolerance through breeding. These results provide evidence that breeding for tolerance to P. pluvialis is possible, although continued work into understanding and minimising causes for variance are required.Item Functional Food Based on Potato(MDPI (Basel, Switzerland), 2023-05-26) Xu J; Li Y; Kaur L; Singh J; Zeng F; Krastanov AIPotato (Solanum tuberosum L.) has gradually become a stable food worldwide since it can be a practical nutritional supplement and antioxidant as well as an energy provider for human beings. Financially and nutritionally, the cultivation and utility of potatoes is worthy of attention from the world. Exploring the functionality and maximizing the utilization of its component parts as well as developing new products based on the potato is still an ongoing issue. To maximize the benefits of potato and induce new high-value products while avoiding unfavorable properties of the crop has been a growing trend in food and medical areas. This review intends to summarize the factors that influence changes in the key functional components of potatoes and to discuss the focus of referenced literature which may require further research efforts. Next, it summarizes the application of the latest commercial products and potential value of components existing in potato. In particular, there are several main tasks for future potato research: preparing starchy foods for special groups of people and developing fiber-rich products to supply dietary fiber intake, manufacturing bio-friendly and specific design films/coatings in the packaging industry, extracting bioactive proteins and potato protease inhibitors with high biological activity, and continuing to build and examine the health benefits of new commercial products based on potato protein. Notably, preservation methods play a key role in the phytochemical content left in foods, and potato performs superiorly to many common vegetables when meeting the demands of daily mineral intake and alleviating mineral deficiencies.Item Decanoyl-Arg-Val-Lys-Arg-Chloromethylketone: An Antiviral Compound That Acts against Flaviviruses through the Inhibition of Furin-Mediated prM Cleavage(MDPI (Basel, Switzerland), 2019-11) Imran M; Saleemi MK; Chen Z; Wang X; Zhou D; Li Y; Zhao Z; Zheng B; Li Q; Cao S; Ye JFlaviviruses, such as Zika virus (ZIKV), Japanese encephalitis virus (JEV), Dengue virus (DENV), and West Nile virus (WNV), are important arthropod-borne pathogens that present an immense global health problem. Their unpredictable disease severity, unusual clinical features, and severe neurological manifestations underscore an urgent need for antiviral interventions. Furin, a host proprotein convertase, is a key contender in processing flavivirus prM protein to M protein, turning the inert virus to an infectious particle. For this reason, the current study was planned to evaluate the antiviral activity of decanoyl-Arg-Val-Lys-Arg-chloromethylketone, a specific furin inhibitor, against flaviviruses, including ZIKV and JEV. Analysis of viral proteins revealed a significant increase in the prM/E index of ZIKV or JEV in dec-RVKR-cmk-treated Vero cells compared to DMSO-treated control cells, indicating dec-RVKR-cmk inhibits prM cleavage. Plaque assay, qRT-PCR, and immunofluorescence assay revealed a strong antiviral activity of dec-RVKR-cmk against ZIKV and JEV in terms of the reduction in virus progeny titer and in viral RNA and protein production in both mammalian cells and mosquito cells. Time-of-drug addition assay revealed that the maximum reduction of virus titer was observed in post-infection treatment. Furthermore, our results showed that dec-RVKR-cmk exerts its inhibitory action on the virus release and next round infectivity but not on viral RNA replication. Taken together, our study highlights an interesting antiviral activity of dec-RVKR-cmk against flaviviruses.