Silicon (Si) has the potential to improve plant growth and stress tolerance. The study aimed to explore Si-involving plant responses and molecular characterization of different Si-responsive genes in alfalfa. In this study, the exogenous supplementation of Si enhanced plant growth, and biomass yield. Si-acquisition in alfalfa root and shoot was higher in Si-supplemented compared to silicon deficient (-Si) plants, implying Si-acquisition has beneficial on alfalfa plants. As a consequence, the quantum efficiency of photosystem II (Fv/Fm) was significantly increased in silicon-sufficient (+Si) plants. The quantitative gene expression analysis exhibited a significant upregulation of the Lsi1, Lsi2, Lsi3, NIP5;1, and NIP6;1 genes in alfalfa roots, while BOR1, BOR4, NIP2, and NIP3 showed no significant variation in their expression. The MEME results further noticed the association of four motifs related to the major intrinsic protein (MIP). The interaction analysis revealed that NIP5;1 and Lsi1 showed a shared gene network with NIP2, BOR1, and BOR4, and Lsi2, Lsi3 and NIP3-1, respectively. These results suggest that members of the major intrinsic proteins (MIPs) family especially Lsi1, Lsi2, Lsi3, NIP5;1, and NIP6;1 genes helped to pass water and other neutral solutes through the cell membrane and those played significant roles in Si uptake and transport in plants. Together, these insights might be useful for alfalfa breeding and genome editing approaches for alfalfa improvement.

The experiment aim to breed an early-maturing variety of Italian ryegrass (Lolium multiflorum Lam.). It was conducted at the Grassland and Forage Crops Division, National Institute of Animal Science, RDA, Cheonan, Korea, from 2022 to 2023. The new variety named “Oasis” is a diploid with green leaves and has a semi-erect growth habit in late fall, and an erect growth habit in early spring. With a heading date of May 10, Oasis is categorized as an early-maturing variety. Compared with the “Florida80” as a control variety, Oasis’s flag leaf was 1 mm wider and 2 cm shorter, while the plant length was 7.8 cm longer. Additionally, the ear of Oasis was 1.2 cm longer than that of Florida80, and it showed lodging resistance. The dry matter yield of Oasis (8,805 kg/ha) was higher than that of Florida80. The total digestible nutrient and crude protein contents of Oasis were 64.5%, and 9.3%, respectively, which were 1.1% and 0.6% higher than those of Florida80, respectively. The neutral and acid detergent fiber contents in Oasis were 54.2% and 30.8%, respectively, which was 1.9% and 1.4% lower than those of Florida80, respectively. These results indicate that Oasis has good dry matter yield in the most of region and especially, middle and northern region of South Korea.

The air transport industry is experiencing unprecedented fluctuations in aviation demand through the Covid-19 pandemic, and is more focused than ever on maintaining and generating business profitability. During the pandemic, demand for air cargo has soared, and the conversion business from passenger aircrafts to freighters(P2F) is drawing attention as a new business in the aviation maintenance industry. This study derives important factors to be considered in order to successfully carry out the P2F project through a wide range of cases and related literature, and analyzes the relative importance of each factor using the analytic hierarchy process. Through a survey of 33 aviation maintenance experts with more than 20 years of field experience, the importance of main factors and their sub factors was determined and implications were drawn. As a primary result, in order to succeed in the P2F project, the main factors were identified in the order of skill, finance, and location. The most important sub factors for each main factors were identified in order of securing airframe modification skill, securing infrastructure construction cost, and creating P2F business complex and district. The quantified success factors suggested the critical direction for the successful development of Korea's P2F business, and presented viable and specific business strategies and implementation plans for each factors.

Recently, as ESG management has become an important issue, major companies in the automotive parts manufacturing industry are conducting ESG evaluations of their suppliers for the purpose of supply chain management. The results of these evaluations are being incorporated into contractual agreements. However, many small and medium-sized enterprises(SMEs) are lacking in their capacity and resources to effectively respond to ESG evaluations. Furthermore, existing ESG management guidelines do not provide an industry-specific guidance, making it necessary to establish industry-specific guidelines that SMEs can refer to. Therefore, in this study, the evaluation Indicators of ESG supply chain assessments are surveyed, which is conducted by domestic major automotive parts companies and global automobile manufacturers. Then 56 supply chain ESG evaluation Indicators are derived. Also, ESG management indicators for SMEs is analyzed through the Importance-Performance Analysis(IPA), based on an interview of expert groups. Therefore, this study could propose industry-specific ESG guidelines, based on the results of the derived indicators, which reflects the need for SMEs to practice ESG management within certain boundaries.

Recently, the importance of impact-based forecasting has increased along with the socio-economic impact of severe weather have emerged. As news articles contain unconstructed information closely related to the people’s life, this study developed and evaluated a binary classification algorithm about snowfall damage information by using media articles text mining. We collected news articles during 2009 to 2021 which containing ‘heavy snow’ in its body context and labelled whether each article correspond to specific damage fields such as car accident. To develop a classifier, we proposed a probability-based classifier based on the ratio of the two conditional probabilities, which is defined as I/O Ratio in this study. During the construction process, we also adopted the n-gram approach to consider contextual meaning of each keyword. The accuracy of the classifier was 75%, supporting the possibility of application of news big data to the impact-based forecasting. We expect the performance of the classifier will be improve in the further research as the various training data is accumulated. The result of this study can be readily expanded by applying the same methodology to other disasters in the future. Furthermore, the result of this study can reduce social and economic damage of high impact weather by supporting the establishment of an integrated meteorological decision support system.

현재까지 전세계적으로 Periphyllus allogenes (개성진사진딧물)은 무시성충세대에 대한 형태학적 정보만이 보고되었다. 본 연구에서는 2021 년부터 2022년까지 한국 가평군, 홍천군에서 그동안 P. allogenes의 알려지지 않았던 간모, 유시성충 세대를 채집하여, 이들에 대하여 형태학적 정 보, 분포지역, 기주식물, 생태 사진을 처음으로 보고한다.

본 연구에서는 한국산 미기록속인 밑들이자루맵시벌속(신칭)과 미기록종인 밑들이짧은자루맵시벌(신칭)을 처음으로 보고한다. 밑들이자루 맵시벌속은 잎벌류에 기생하는 것으로 알려져 있으며, 배마디 끝부분이 위쪽으로 굽어져있는 것이 특징이다. 본 논문에는 미기록속, 미기록종의 기 재문과 사진을 제공한다.

In recent years, the marketing literature has given considerable attention to the concept of online consumer misbehaviour. However, this increased interest has resulted in a significant accumulation of knowledge, leading to fragmentation and confusion in the field. This situation has serious implications for both researchers and practitioners, as it impedes the development of a coherent and unified understanding of the field. To address this issue, this paper presents a systematic review aimed at consolidating and organizing the available research on online consumer misbehaviour. The paper provides a conceptualization and operationalization of the concept of OCM. Additionally, the paper identifies and discusses the existing theories used in the field of OCM research.

Measuring service quality and related key dimensions has been an important problem in Marketing. In this research, we would introduce a smart methodological framework to efficiently identify refined, key sentiment dimensions for measuring the service quality using both traditional survey and unstructured online reviews (natural survey). The proposed framework consists of three parts: (1) steps for preprocessing the unstructured reviews to generate attribute-level sentiments for independent variables (2) Bayesian regression to efficiently identify key groups of correlated attributes and (3) post-hoc analysis for identifying dimensions from the selected groups of correlated attributes and predicting dimension-level effects. Note, the first part of the framework (i.e., preprocessing) is not required for analyzing traditional surveys. Our framework provides two sets of complementing results such as attribute-level effects under the identified dimensions and aggregate dimension-level effects. In the first application study to traditional SERVQUAL data, we successfully validated the proposed framework by comparing the results between our framework and three commonly used existing methods of regression, lasso regression, and factor analysis. In the second empirical application study with the online reviews from a major game review website, STEAM platform, we found that our framework provided a significantly reduced number of key dimensions which were surprisingly efficient for predicting and explaining the service quality ratings, compared with the same set of compared methods in the first study plus the topic model. In particular, with reviews of 2,825 games, three key dimensions of Mechanical playability, Fun in fantasy and Money for value were identified, and we also found that the Mechanical playability could be an important driver of game popularity.

As ESG (environmental, social, and governance) has become a major business trend, many firms put ESG into their business practice to fulfill market and stakeholders' demands (Wang et al., 2016). With a growing emphasis on ESG, firms must decide how to integrate ESG into their organizational strategy. Although ESG is a popular business trend, it is meaningless if ESG reduces firm value. For successful ESG implementation, ESG strategy must be integral to the business model (Duque-Grisales and Aguilera-Caracuel, 2021). With the integration of ESG into the firm's business process, sustainable activities enable firms to improve their economic and social performance by tapping into the synergies between business and societal agendas (Duque-Grisales and Aguilera-Caracuel, 2021). Core competence refers to an organization's accumulated strength compared to other organizations in the industry (Wheelen, 2019). It is the unique integration of leadership, technologies, specialized skills and knowledge, organizational culture, and the working possesses (Wheelen, 2019). Even though the literature on ESG emphasizes integrating ESG into firms’ core capabilities, there are only a few studies that developed ESG implementation and integration framework in specific dimensions (Fatima & Elbanna, 2022) and the literature shows mixed results. Since previous research presents unclear results regarding ESG implementation and firms' core competencies, this study aims to 1) investigate how ESG strategy could integrate with firms' core competencies and 2) clarify ESG embeddedness drivers. The findings provide significant implications for academics and managers by clarifying how firms can enhance their value through ESG with firms' core competencies.

The market for counterfeit luxury goods is growing rapidly, with estimates suggesting that counterfeit trades are valued at around $4.5 trillion globally, with 60% to 70% of this being made up of counterfeit luxury goods. Research has shown that counterfeits dilute the perceived quality of luxury brands and reduce consumers' purchase intentions. Non-fungible tokens (NFTs) are a form of ownership record that is linked and stored on a blockchain.

Artificial Intelligence (AI) technology offers many opportunities for use in influencer marketing. There is however, no standardised ethical frameworks for use in this specific field. We offer a foundation framework to emphasise the social well-being goal and relate it to stakeholders involved.

Despite the importance of technology-based innovation and customer participation for both practitioners and academics, the impact of different customer participation types in new product innovation has rarely been addressed. Since consumers' positive assessment of new technologies leads to positive outcomes in the market, consumer evaluation of new technologies is important. Thus, examining the consumer perception of technology-based innovation including the different levels of customer participation is meaningful to new theoretical and practical insights.

Environmental, social, and governance (ESG) considerations have become increasingly important for firms' sustainability. Mandates for ESG information disclosure have been implemented in over 25 countries, including the EU, Australia, and China (Krueger et al., 2021). However, little attention has been paid to the drivers and mechanisms of ESG, which remain unclear. The existing literature has mainly focused on the consequences of ESG which shows mixed results and paid little attention to the drivers of ESG (Paolone et al., 2021). The majority of prior research suggests that ESG activities positively affect firms' financial performance (Nekhili et al., 2019). On the other hand, some researchers show a significant and negative relationship between ESG performance and a firm's financial performance (Duque-Grisales and Aguilera-Caracuel, 2021). To fill the research gap, this study attempts to identify 1) firms' internal and external factors that lead to ESG performance as drivers of ESG, and 2) firm performance as the consequences of ESG. The study found that environmental innovation activities, ESG committees, external audits, and ESG compensations related to environmental innovation could be drivers of ESG application and performance, leading to better firm performance. Moreover, the findings indicate that ESG performance positively affects firms' financial and non-financial performance. Understanding the adoption of ESG is crucial for firms since ESG requires a long-term perspective. This study contributes to the literature on ESG and firm sustainability and suggests new directions for managers to implement ESG in their business model. Especially, this study argues that taking a carrot-and-stick approach could lead to better ESG performance and firm performance. Therefore, managers might consider internal policies to encourage ESG that can lead to better firm performance.

Social media has emerged as a prevalent tool for businesses in recent years through which brands actively engage in promotions. This development has resulted in several social media trends aimed at garnering increased consumer engagement on various social media platforms that brands utilize routinely. We investigate one such prevalent social media trend: brands sharing memes. Several popular brands, such as Netflix, regularly post memes on social media platforms. Therefore, it is important to study the brands’ use of memes and their resultant impact on consumer behavior.

In this study, we investigate the opportunity of using waste tire char as a cathode material for lithium-ion primary batteries (LPBs). The char obtained by carbonizing waste tires was washed with acid and thermally fluorinated to produce CFX. The structural and chemical properties of the char and CFX were analyzed to evaluate the effect of thermal fluorination. The carbon structure of the char was increasingly converted to CFX structure as the fluorination temperature increased. In addition, the manufactured CFX- based LPBs were evaluated through electrochemical analysis. The discharge capacity of the CFX reached a maximum of 800 mAh/g, which is comparable to that of CFX- based LPBs manufactured from other carbon sources. On the basis of these results, the use of waste tire char-based CFX as a cathode material for LPBs is presented as a new opportunity in the field of waste tire recycling.

Recently in Korea, YouTube stock channels increased rapidly due to the high social interest in the stock market during the COVID-19 period. Accordingly, the role of new media channels such as YouTube is attracting attention in the process of generating and disseminating market information. Nevertheless, prior studies on the market forecasting power of YouTube stock channels remain insignificant. In this study, the market forecasting power of the information from the YouTube stock channel was examined and compared with traditional news media. To measure information from each YouTube stock channel and news media, positive and negative opinions were extracted. As a result of the analysis, opinion in channels operated by media outlets were found to be leading indicators of KOSPI market returns among YouTube stock channels. The prediction accuracy by using logistic regression model show 74%. On the other hand, Sampro TV, a popular YouTube stock channel, and the traditional news media simply reported the market situation of the day or instead showed a tendency to lag behind the market. This study is differentiated from previous studies in that it verified the market predictive power of the information provided by the YouTube stock channel, which has recently shown a growing trend in Korea. In the future, the results of advanced analysis can be confirmed by expanding the research results for individual stocks.

This study identified the core competencies of aircraft maintenance quality engineers and compared the importance and retention of core competencies. Through literature research, 21 core competencies were derived in three areas of management technology, elemenal technology and collaboration technology, and a survey was conducted on the importance and retention of core competencies for 42 aircraft maintenance quality engineers. As a result of the survey, the importance of all core competencies of aircraft maintenance quality engineers is 3.95/5 on average, and the retention of all core competencies is 3.99/5 on average. 'Risk Management’, ‘Creating Document’, ‘Honesty/Moral’ were identified as the most important competencies in each area, and ‘Quality Management’, ‘Language’, ‘Honesty/Moral’ were identified as the most possessed competencies in each area. An IPA (Importance-Performance Analysis) was performed to analyze the details. Through IPA, ‘Risk Management’ and ‘Safety Management’ were evaluated as having a low degree of retention compared to a high level of importance. Therefore, they were identified as a core competencies that need to be improved first. In addition, the characteristics of each core competency and the recognition level in the field were also identified. This study will be helpful in defining the roles and functions of aircraft maintenance quality engineers to improve flight quality and prevent aviation accidents.

White rot fungus Cerrena unicolor IUM 5400 produced ethanol from diverse sugars, including glucose, mannose, galactose, and cellobiose at 0.38, 0.28, 0.08, and 0.27 g of ethanol per g of sugar consumed, respectively. The fungus produced relatively high amounts of ethanol from xylose (0.28 g of ethanol per g of sugar consumed); however, the ethanol conversion rate of arabinose was relatively low (at 0.08 g of ethanol per g sugar consumed). When cultured in a basal medium containing 20 g/L rice straw or corn stalks, C. unicolor IUM 5400 produced 0.18 g and 0.18 g of ethanol per g of rice straw and corn stalks, respectively. The results suggest that C. unicolor IUM 5400 is a white rot fungus that can effectively hydrolyze cellulose or hemicellulose to sugars and simultaneously convert them to ethanol.

복부 MRI 검사에서 높은 수준의 병렬기법을 적용 시 영상의 질을 떨어뜨리는 둘러겹침인공물을 빈번히 생성한다. 이것 은 구조물이 겹쳐서 나타나는 현상으로 복부 인체 구조상 양쪽 팔이 맞닿아 있어서 FOV를 벗어난 양쪽 팔이 영상의 반대 방향 인공물을 발생하는 문제를 초래한다. 이러한 제한점으로 복부 MRI 검사에서는 두경부 및 근골격 검사 부위와 비교하 여 낮은 수준의 병렬기법을 적용하여 검사 시간을 증가시키는 문제가 있다. 이에 본 연구에서는 팔을 위로 올리는 자세를 활용하여 환자의 간단한 자세의 변화를 통하여 병렬기법을 극대화하여 검사 시간을 최소화하면서 영상의 인공물을 제거하 는 데 목적을 두었다. T2, T1 강조 영상을 관상면으로 획득하였다. 연구의 재현성을 높이기 위하여 작은 팬텀을 나란히 놓고(팔 내리는 자세), 한번은 작은 팬텀을 제거하고 영상을 (팔 올리는 자세) 각각 병렬기법인 SENSE 가속인자를 1.0, 1.5, 2.0, 2.5, 3.0, 3.5, 4.0까지 10번씩 획득한 후 영상의 불균일도를 측정하였다. 팬텀으로 확인하기 어려운 인체 부위 의 영상을 확인하기 위하여 정상인 자원자 1명을 대상으로 팬텀 연구와 같은 매개변수 조건으로 영상을 획득하였다. SENSE 가속인자가 높아질수록 팔을 올리는 자세에서 영상의 불균일도가 낮게 측정이 되었고 통계학적으로 유의하게 나타 났다. 본 연구는 간단한 자세 변화만으로 병렬기법을 극대화하며 영상획득 시간 단축 및 인공물을 개선방안을 제시하는 데 의의가 있다.