Immersive content provides a differentiated and immersive experience from existing content. It is a type of content that stimulates various senses, such as vision, hearing, touch, smell, and taste, to allow users to experience the world as if it were real. Among them, holograms are a technology that creates three-dimensional images using light. Unlike traditional 2D images, holograms can provide a realistic experience. The three-dimensionality and depth of holograms make users feel a strong sense of space and presence, making them a promising next-generation content for expressing virtual worlds. This study aimed to analyze the suitability of hologram technology for immersive content and the correlation between storytelling in immersive content in this trend. To this end, we produced a holographic immersive content of Tchaikovsky's "Swan Lake," which has a narrative structure of rising action, climax, and falling action. In the production process, we used floating solar panels as a power source, considering the environmental aspect. We showed the produced immersive content to related experts and collected their opinions through semi-structured interviews. As a result of the analysis, we confirmed that holograms are an effective technology for enhancing the immersion of immersive content. We also confirmed that storytelling plays an important role in enhancing the immersion of immersive content.

Yellow-fleshed "Sweet Gold" kiwifruit on Jeju Island were studied to examine how irrigation and soil moisture control affected changes in photosynthetic traits and fruit quality during fruit maturation (120 to 170 days after full bloom). Concerning photosynthetic characteristics, the photosynthetic rate decreased by 10-19%, stomatal conductance by 24-47%, and transpiration rate by 8-25%, when compared to conventional irrigation, as irrigation was reduced and soil moisture content decreased. Fruit weight showed a tendency to increase until harvest, and while a lower soil moisture content led to a less pronounced increase in fruit weight, this difference was not statistically significant. The dry matter rate exhibited a similar trend to the change in fruit weight. Sugar content demonstrated a continuous increase after 130 days, with lower irrigation amounts resulting in higher levels of sugar content due to decreased soil moisture. The Hue value (h°) exhibited a continuous decrease after 140 days from full bloom, correlating with declining soil moisture content. After 130 days from full bloom, soluble sugar content increased rapidly while starch content gradually decreased after 150 days from full bloom. However, with conventional irrigation, the increase in soluble sugar content tended to be less noticeable. This study confirmed that in yellow-fleshed ‘Sweet Gold’ kiwifruit, managing irrigation and soil moisture reduction during the ripening period can lead to decreased fruit weight but increased dry matter, sugar content, and expression of flesh color, ultimately enhancing fruit quality and expediting ripening.

현재 OTT 서비스는 매년 성장하고 있다. 국내에서도 2016년 넷플릭스(Netflix)의 등장 이후 웨이브, 티빙 등 국산 OTT 서비스들이 생겨나며 산업 생태계가 만들어졌다. 하지만 아직 성장하고 있는 매출에 비해서 대부분 OTT 서비스는 이익률이 높지 않고 적자인 상황이다. 유일하게 흑자인 기업은 넷플릭스뿐이다. OTT 서비스를 통해 미디어콘텐츠산업이 성장은 하고 있지만, 앞으로는 수익을 높여야 하는 상황이다. 이러한 OTT와 미디어콘텐츠산업이 어떻게 성장하고 연결되어 있는지를 OTT 서비스의 현황과 콘텐츠 유통 등을 통해 분석하였다. 그리고 앞으로 미디어콘텐츠산업의 지형이 어떤 변화가 발생하는지 살펴보았다.

The goal of this study was to examine the PCK required for science teachers and PCK required for university teacher educators in terms of school science knowledge, science teaching and learning, and the role of science educators, which are the main axes of science education in future schools, and to explore the relationship between them. This study is a follow-up to a previous stage of research that explored the prospects for changes in schools in the future (2040-2050) in terms of school knowledge, educational methods, and teacher roles. Based on in-depth interviews, qualitative and semantic network analyses were conducted to derive and compare the characteristics of PCK and PCK. As for the main research results, science teacher PCK in future schools should include expertise in organizing science classes centered on convergence topics, expertise in digital platforms and ICT use, and expertise in building a network of learning communities and resources, as part of the expertise of human teachers differentiated from AI. Teacher educators' PCK includes expertise in the research and development of T-L methods using AI, expertise in the knowledge construction process and practice, and expertise in developing preservice teachers’ research competencies. Discussed in the conclusion is the change in teacher PCK and teacher educator PCK with changes in science knowledge, such as convergence-type knowledge and cognition-value integrated knowledge; and the need to emphasize values, attitudes, and ethical judgments for the coexistence of humans and non-humans as school science knowledge in the post-humanism future society.

Background: The globalization of the healthcare industry and the increasing demand for skilled professionals in the global healthcare industry have opened up opportunities for specialized biotech healthcare professionals to seek overseas employment and career advancement. Objects: This study aimed to develop educational content essential for the overseas employment of digital bio-health professionals. Methods: A survey was conducted among 196 participants. Google Forms (Google) were utilized to create and administer the survey, employing purposive sampling, a non-probability sampling method. Data analysis was performed using IBM SPSS 25.0 (IBM Co.), including Cronbach’s α and independent sample t-tests to assess significant differences. Results: About half of college students are interested in overseas employment and international careers, while the other half had not. The most common reason for wanting to work or go overseas was “foreign experience will be useful for future activities in Korea.” Students who had experience taking courses from the Bio-health Convergence Open Sharing University preferred overseas programs more than those who did not have that experience. In terms of the degree of desire for overseas education courses provided by universities, contents related to human health were the highest, followed by bio-health big data. Conclusion: Many students wanted to work and go overseas if there is sufficient support from the university. The findings in this study suggest that universities are necessary to play an important role in supporting students' aspirations to work or go overseas by providing language education, education and training programs, information on overseas jobs, and mentoring programs.

본 연구는 뷰티 숏폼 콘텐츠의 특성이 소비자의 행동에 미치는 영향에 대해 조사하였으며, 뷰티 숏폼 콘텐츠와 관련한 통계학적 연구를 통해 뷰티, 마케팅 분야에 학술적 기초자료를 제공함으로써 학문적 인 기여를 하고, 양질의 콘텐츠를 제작하고 효과적인 마케팅에 도움이 되게 하는데 연구의 목적이 있다. 미 용 소비자를 대상으로 한 온라인 설문조사로 회수된 총 405부의 유효 설문을 통계분석에 최종 사용하였다. 분석 결과 뷰티 숏폼 콘텐츠 특성이 높을수록 구매의도, 추천의도, 고객만족이 모두 높아지는 것으로 볼 수 있다. 따라서 뷰티 숏폼 콘텐츠 제작 시 소비자의 호감을 살만한 신뢰를 얻을 수 있는 내용으로 구성되며, 소비자와 소통이 원활하고, 사실적인 내용이 담긴 재미있는 영상을 제작하면 짧은 시간에 확산이 용이할 수 있으며, 소비자의 긍정적인 소비행동을 이끌어내어 매출 증진에 기여될 것으로 사료된다.

There has been an increase in the viewing of YouTube content among children and adolescents. This, coupled with the popularity of live-streamed video content such as mukbang, where viewers watch the host eat, has raised concerns about media addiction and the indiscriminate imitation of eating behavior. Therefore, there is a need for guidance on the appropriate behavior for viewing YouTube food content to promote healthy eating habits among children. In this study, we aimed to compare the patterns of the main caregivers and their children while viewing media and investigate the impact of viewing YouTube food content on the physical and mental health of the children. The findings suggest that active YouTube food content viewing by the main caregivers may reduce imitative behaviors due to passive media consumption by their children. This study provides valuable insights by comparing and analyzing the YouTube content viewing of the main caregivers and their children. The results can be used as a basis for the development of lifestyle-centered guidelines for children. However, it is important to note that this study was conducted during the coronavirus disease (COVID-19) pandemic when there was a significant increase in the use of media, which is limitation of the study.

산양삼은 산림청 특별관리 임산물로 지정되어 관리되고 있지만 체계적인 연구 나 표준 재배지침이 현장의 재배 현실과는 상이한 부분이 많은 실정이다. 이에 본 연구에서는 평창지역의 산양삼 재배지 환경조건에 따른 진세노사이드 함량이 어 떠한가를 알아보기 위하여 산양삼 시료를 각각 10본씩 채취하여 실험을 통해 확 인하였다. 산양삼 입지환경은 경사, 사면 방향, 해발고, 나무 종류, 흉고 직경과 수 고 등 모두 6가지를 조사하여 국립산림과학원의 분류기준을 참고하여 침엽과 활 엽으로 구분하였다. 산양삼 재배지의 토양산도를 포함한 9가지 토양이화학성 분석 에서는 전체적으로 침엽지역보다 활엽지역에서 높은 함량을 보였다. 통계분석 결 과에서는 A, B, C, 재배지에서 침엽과 활엽지역 간 통계적 유의성이 있는 것으로 나타났으며, D 재배지는 침엽과 활엽지역의 유의차가 거의 없는 것으로 나타났다. 진세노사이드 함유량 분석 결과에서는 Re, Rb1, Rg1의 순서로 높은 함량을 나타 내고 있어서 평창 산양삼의 주성분을 확인할 수 있었다. 연구 결과로 산양삼은 산 삼이 잘 생육할 수 있는 환경과 비슷한 곳을 재배지로 선정하여야 고품질의 제품 을 생산할 수 있다고 예상할 수 있다. 향후 본 연구 결과가 임업인 소득증대에 도 움을 줄 수 있는 자료로도 활용될 수 있기를 기대한다.

A rapid analytical method was developed and optimized to determine gluten content in bread. Existing gluten quantification methods were inappropriate for bread with high gluten content because they were optimized to analyze shallow gluten content. To overcome this problem, the first method of quantifying the gluten content in bread was developed by modifying the gluten analysis method in cereal grains. Heat-stable gliadin was selectively quantified for gluten quantification using high-performance liquid chromatography (HPLC), and gliadin peaks were separated using an Agilent SB-C8 column. The specificity, linearity, accuracy, precision, limit of detection (LOD), and limit of quantification (LOQ) were measured for validation. The calibration curve of gliadin had high linearity (R2 = 0.9996), and LOD and LOQ were 0.03 and 0.10 g/100 g, respectively. The relative standard deviation (RSD) values of intra- and inter-day precision were less than 2.49% and 1.54%, respectively. Recovery ranged from 90.73% to 93.87%, with RSD values less than 2.06%. These results indicate that the HPLC method for quantifying gluten in bakery products is efficient, reliable, and reproducible.

Protein can be provided by cultivating various microbes, which contain more than 30% protein content by cell dry weight. This study compared intracellular protein concentrations of various wild-type yeasts from different sources to select the best yeast strain with high protein concentration. Among them, Saccharomyces cerevisiae KCCM 34709, used for molasses fermentation, exhibited 4.1-fold higher protein concentration than a laboratory yeast strain, S. cerevisiae D452-2. In this study, an approach consisting of random mutagenesis coupled with the Bradford protein assay-based screening method was applied to enhance the S. cerevisiae KCCM 34709 protein content. Among 1,000 mutants, the #180 mutant strain produced 5,041±519 mg/L total amino acid in 48 h, which was 31% higher than the parental S. cerevisiae KCCM 34709 strain. These results demonstrate that the #180 mutant strain can be an attractive cell factory for animal-free protein production.

With the dramatic advance in artificial intelligence, the use of an AI anchor in the news industry is a subject of great interest. An AI anchor is a computer-generated news anchor that mimics the human voice, appearance, and facial expressions to present the news. As the focus of this study is to investigate how the news media utilize an AI anchor in the news program, the research questions are as follows: (1) What are the differences in news topics between AI and human anchors? (2) How does the viewership differ based on these topic choices, with a focus on the emotional impact?

Digitalization and the emergence of online video platforms changed the way people communicate and made new marketing opportunities. As mobile short-form video has unique characteristics, more people tend to consume and produce diverse content in the digital environment. The purpose of this study aims to better understand the influence of short-form videos from a fashion marketing standpoint and delineate the driving factors through story types. Specifically, by adopting common traits of short-form video content and story types based on Greimas’ narrative theory, this study explores customers’ intention toward fashion purchases and electronic word of mouth. In this context, this paper contributes to activating short-form video content as a tool to promote fashion brands and products but also opening up the possibility to further study short-form videos.

This study investigated which factors impact esports viewership for League of Legends matches through Live and highLight streaming video. This research anaLyzed League of Legends viewership factors' differences between the three Leagues (LCK, LCS, and LEC) where viewership factors infLuence esports viewership demand through LOL’s Live and highLight streaming video. League of Legends not onLy has the highest audience among different various esports, aLso has formed a huge market from diverse countries. In order to soLve each League's unbaLance viewership trend issue between the three Leagues, and facing worLdwide viewership decrease, this study examined viewership impact factors from three Leagues with the highest viewership ratings: Korea's LCK, North America's LCS, and Europe's LEC. After that, differences in viewership impact factors for the research were anaLyzed and compared to each League. SpecificaLLy, this study investigated which factors impact esports viewership for League of Legends (LOL) matches. Data (N=1581) of reguLar season matches from the LCK, LCS, and LEC Leagues (2020 spring to 2021 summer) were coLLected and anaLyzed. This study anaLyzed the average number of visitors per minute of Twitch Live streaming and the number of views on YouTube highLights. Five main viewership factors(the uncertainty of match, consumer preferences, match importance, team attributes, match content, and controL variabLes), and seventeen independent variabLes were verified by muLtipLe regression anaLysis using STATA 15. As a resuLt of the anaLysis, the modeL with the number of reaL-time audience as the dependent variabLe demonstrated different trends between Leagues in terms of the uncertainty of match factors (rank difference, win rate difference, goLd difference, kiLL difference, object difference), and consumer preference factors(fan, operating period of both teams, number of worLd championship wins, the number of championship semifinaL advances). WhiLe the match importance factors(week, top-rank matches) and match content factors (the sum of kiLLs, the sum of assists, the sum of objects) indicated somewhat simiLar tendencies between Leagues. In the modeL with the number of highLights views as the dependent variabLe, consumer preference factors and match importance factors tended to be somewhat simiLar, but match content factors prone to be sLightLy different between Leagues. In addition, the uncertainty of the match factors did not show a significant infLuence across the three Leagues. Findings from this research expand and appLy the variabLes derived from the demand determination theory of traditionaL sports to e-sports demand research. This study heLps stakehoLders understand various esports cuLtures from different regions. Furthermore, it is meaningfuL in that it provides information that wiLL contribute to the growth of the entire League of Legends market through baLanced deveLopment between Leagues.

In order to communicate brand concepts and values to the young generations, many brands are highly active on social media platforms such as Twitter, Facebook, and Instagram. Brand-Generated Content has already become the most common marketing strategy for fashion brands and plays a significant role in influencing consumers’ purchase intention. With increased competition on social media platforms, companies need to understand which posting features can bring in more consumer engagements such as number of likes and comments on social media platforms. In this paper, we develop (1) a model to predict the number of likes and (2) a methodology to detect anomaly of posts that have unusually high percentage of negative user comments based on Instagram design variables, including semantic text meanings, facial expressions, color scheme and background of photos, and post timing, among others. We collected a data set of brand-generated Instagram posts from ten fashion brands. The data covers the image, text, and user comments posted between 2019 and 2020. Image features were extracted using Convolutional Neural Network, and text topics were generated through Latent Dirichlet Allocation. Our results will help managers design Instagram posts to increase consumer engagement and to reduce negative consumer reactions.

Generative artificial intelligence (AI) tools such as ChatGPT, Dall-E, and Steve AI can facilitate instant content creation. As an illustration, a fashion brand can simply command ChatGPT to: “Write an Instagram caption about the importance of good clothes during winter in two hundred words”. In seconds, ChatGPT generates the output. This minimum effort and short production time in the usage of generative AI may enhance content marketing outcomes. However—as warned by scholars (Bruyn et al., 2020)—not only is it advantageous for businesses, AI can also be disastrous. Underpinned by this, and the fact that generative AI and content marketing are nonexistent in the pertinent literature (see streams of research on AI in marketing e.g., Eriksson et al., 2020; Huang & Rust, 2021, 2022; Vlačić et al., 2022), this research aims to explore the potential benefits and drawbacks of generative AI for content marketing.

Artificial intelligence generated content (AIGC) refers to content produced by artificial intelligence that represents the perspectives of its users, and a new technique of content Generation. Continuous development in deep learning and algorithms have facilitated the adoption of AIGC. This research summarizes literature published under the topic of AIGC using bibliometric analysis method, aims to provide insightful research directions for future studies. 342 documents were collected from Database of Web of science, network visualization analysis among authors and citation analysis over publications are presented to scholars who wish to further research into this area.

This study tests the influence of multi-visual dimensions and textual features of electronic word-of-mouth (EWOM) on its perceived helpfulness on a sample from Saudi Arabia. This investigation is conducted in the context of Twitter through an online factorial experiment. The design incorporates a 3 (visual inclusion to text: with product-only photo, with product and face photo, without product photo) × 3 (EWOM valence: positive, positive and negative, and negative) between-subjects experiment (n = 540). It is concluded that when evaluating EWOM helpfulness, pictures do in fact contribute substantial value. For females, this effect is more pronounced when the EWOM is two-sided at the product-only photo level, and when EWOM is negative at the product with a face photo level. Thus, this study adds to the body of existing theories by arguing that EWOM helpfulness largely depends on how the textual and visual features of EWOM are communicated.

This study aims to provide insights into ageing consumers’ content usage, content typology choices, and online brand advocacy. Consumers from Southern Europe aged 55+ were included in semi-structured interviews. The study reveals insights into online behaviours and proposes an online brand advocacy framework for ageing consumers, contributing to the literature and offering managerial implications.

The economic harm and survival fear caused by environmental conflicts are most likely to become the psychological lever to drive individuals to adopt environmentally friendly behaviours. From the perspective of environmental conflict, this paper will explore the transmission mechanism of environmental conflict on individuals’ pro-environmental behaviour through three experiments.

Voice assistance (VA) has been widely adopted in the tourism and hospitality industry to interact and communicate with tourists and provide useful travel recommendations. Although more companies in tourism have adopted environmental sustainability practices and tourists have increased their sustainability awareness, lack of research has been conducted to investigate the effectiveness of VA in promoting sustainable consumption of tourism products or services. This study proposes that customising environmental sustainability messages for tourists with different cultural orientations and VA use purposes can enhance their engagement with the VA, which can affect their consumption decision. The results from a scenario-based experiment demonstrate that tourists with interdependent/independent cultural orientation have higher engagement with the environmental sustainability messages communicated by the VA when they are with a non-transactional/transactional purpose. Implications for tourism marketing strategies are discussed.