As in its early development, metaverse has become a popular marketing topic with broad participation among marketers and consumers. Due to the global pandemic and lockdowns that hit offline marketing channels, people seek online and virtual interactions (Taherdoost, 2022). It accelerated the changes in consumers’ habits and participation in digital media. The term metaverse was first introduced in 1992 in a Sci-Fi Snow Crash (Stephenson, 1992), describing a space where users can join as avatars through terminals with virtual reality features (The Economist, 2020). And with the development of web3, metaverse has evolved into a hyper-connected online universe. Kim (2021) defines the metaverse as the network of virtual environments where individuals can communicate and interact with one another and objects in real-time using their digital representation or avatars. Brands lead and help consumers to find ways to enter the metaverse space, accelerating mainstream adoption. Philipp Plein, a Swiss fashion brand, purchased 65 parcels of land with 1.4 million dollars in the metaverse platform Decentraland with about 800,000 registered users (Hiken, 2022).

This study assesses the fashion blogging content and what type(s) of content categories attract SNS users’ attention on Chinese social networking sites via content analysis and eye-tracking methods. Fashion bloggers need to optimize their content strategies to remain outstanding in competitive online environments. Based on literature review, we generated five content codes social fashion blogging posts, and examine the effect of the posts based on fixation count, the duration, and time to first fixation. Study one categorised posts themes into the codes. Then examine and analysis the frequently used content, how these influence on audience attention through includes total fixation duration (TFD), fixation count (FC) and time to first fixation (TFF). The findings could provide guides for fashion bloggers to generate more effective and engagement content to audiences.

The working group for an infrared telescope(IRT) toward East Asian Observatory has been set up in EAMA6. This report declares the membership of IRT working group, reviews briefly the activities of promoting the IRT, and puts forward the future plan.

The program of site survey in western China has been initiated by the National Astronomical Observatories of China(NAOC) toward large telescope facilities. The program is carried out in aspects of remote studies and local surveys. The preliminary results show that the eastern Pamirs and Ali area in Tibet may be the best candidates for further monitoring. The site survey group of NAOC will proceed to set up site testing stations on the selected sites and perform monitoring and campaign in 2005.

Purpose - This paper aims to identify factors that influence the users' word-of-mouth intention (WOMI) regarding mobile apps, focussing on the impacts of technology acceptance model (TAM) and social network theory. Research design, data and methodology - Based on TAM, this study integrates social network theory into the research model. The 317 sets of data collected in a survey were tested against the model using SmartPLS. Results - Our findings suggest the following: 1) Personal innovativeness positively influences perceived usefulness (PU), perceived ease of use (PEU) and perceived enjoyment (PE); 2) PEU affects PU and PE; 3) Both PU and Satisfaction are directly correlated with WOMI. Although PEU and PE has no direct impact on WOMI, they may indirectly affect WOMI via Satisfaction, as PU, PEU and PE all positively influence satisfaction; 4) Network density and network centrality both play a mediating role in the relation between PEU and WOMI. Referral Reward Program have a positive moderating effect on the relation between PU and WOMI. Conclusions - The findings of this study illustrate the traits of Apps that can promote users’ WOMI, as well as the characteristics of people who are more likely to participate in the word-of-mouth process. The findings provide a theoretical basis for app developers to make word-of-mouth a marketing strategy.

Trypsin inhibitors occur in a wide range of foods, they have been studied extensively in plants such as soybean (Glycinemax) as the majority of species are considered as important food sources. Selected soybeans were subjected to various treatments including microwave heating, supercritical fluid CO2 de-fatting, ultrasound incubating by different treat time (5min-120min) to determine the effect on soybean trypsin inhibitor (STI) activities compared to the non-treatment. The results indicated that microwave reduced trypsin inhibitors ranged from 20.57±1.40 TIU/mg to 14.60±1.48 TIU/mg compared to the control (21.44±1.04 TIU/mg) respectively (p<0.05). The inactivation of STI activities by ultrasound ranged from 28.47±0.16 TIU/mg to 19.86±0.78 TIU/mg compared to the control (28.87±0.18 TIU/mg) respectively (p<0.05). While the observed STI activities by supercritical CO2 de-fatting was not significant compared to the control. This study signifies the effective potential of inactivation of trypsin inhibitor by several applicable treatments which might be benefit in the food manufacture and livestock feeding industry.