Electrochemical carbon dioxide (CO2) reduction technology, one of the promising solutions for climate change, can convert CO2, a representative greenhouse gas (GHG), into valuable base chemicals using electric energy. In particular, carbon monoxide (CO), among various candidate products, is attracting much attention from both academia and industry because of its high Faraday efficiency, promising economic feasibility, and relatively large market size. Although numerous previous studies have recently analyzed the GHG reduction potential of this technology, the assumptions made and inventory data used are neither consistent nor transparent. In this study, a comparative life cycle assessment was carried out to analyze the potential for reducing GHG emissions in the electrochemical CO production process in a more transparent way. By defining three different system boundaries, the global warming impact was compared with that of a fossil fuel-based CO production process. The results confirmed that the emission factor of electric energy supplied to CO2-electrolyzers should be much lower than that of the current national power generation sector in order to mitigate GHG emissions by replacing conventional CO production with electrochemical CO production. Also, it is important to disclose transparently inventory data of the conventional CO production process for a more reliable analysis of GHG reduction potential.
The purpose of this research is to investigate the attributes of the online world and to analyze their influence on democracy. The research focuses on the mayoral by-elections that were held in Seoul and Busan, South Korea, on April 4, 2021. The study demonstrates the characteristics of online spaces and the polarization of the online public through news articles and user comments from the Internet. The research includes topic modeling to measure the diversity of media reports, sentiment analysis to measure online public opinion, and interrupted time series analysis to understand how a particular event influences online attitudes. A combination of these methods is used to attempt to estimate the strength of political polarity in the online environment. The study shows diverse media reports by election region and candidate, where the online public repeatedly reveals high negative and low positive attitudes towards each candidate. Moreover, political polarity can differ based on the level of interest in an election. Although voters pay less attention to a by-election than a presidential election, there is a solid political polarity in the online world. Hence, the research recommends preparing measures to alleviate the polarization as politics requires significant online participation.
Background: Integrative medical research is needed to explore the development direction of new yoga therapy. Purposes: A systematic literature review is conducted to analyze the current status of clinical research on yoga therapy into scientific categories, and to explore the content and development direction of yoga therapy. Methods: Through electronic databases such as RISS, NDSL, DBpia, e-article, and KISS, 530 domestic academic papers were selected from 2010 to 2018 and the final 28 were extracted based on PRISMA guidelines. Results: As a result of the study, in terms of quality, it remained at 3b of the CEBM level of evidence, and in terms of quantity, the number of experimental groups in the entire clinical study was 288, so domestic clinical studies of yoga therapy are insufficient. It was found that 80% of yoga therapy was exercise therapy focusing on asana movements. This seems to be due to a lot of researchers in the field of physical education. Conclusions: These results indicate that understanding and practice of the Ashtanga-yoga's training system and Pancha-kosha theory from the perspective of integrative medicine are necessary. In other words, yoga therapy is required to develop into an integrated mind-body therapy program that integrates holistic healing yoga based on individual mental and physical constitution, meditation therapy based on Ayurveda, and exercise therapy.
Opinion polls have become a powerful means for election campaigns and one of the most important subjects in the media in that they predict the actual election results and influence people's voting behavior. However, the more active the polls, the more often they fail to properly reflect the voters' minds in measuring the effectiveness of election campaigns, such as repeatedly conducting polls on the likelihood of winning or support rather than verifying the pledges and policies of candidates. Even if the poor predictions of the election results of the polls have undermined the authority of the press, people cannot easily let go of their interest in polls because there is no clear alternative to answer the instinctive question of which candidate will ultimately win. In this regard, we attempt to retrospectively grasp public opinion on the 20th presidential election by applying the 'YouTube Analysis' function of Sometrend, which provides an environment for discovering insights through online big data. Through this study, it is confirmed that a result close to the actual public opinion (or opinion poll results) can be easily derived with simple YouTube data results, and a high-performance public opinion prediction model can be built.
In this study, we used an analysis of the literature on socio-scientific issues (SSI) classes to examine domestic SSI class research and to determine the characteristics of SSI class research for each subject. A search for papers related to SSI classes published in Korea Citation Index-listed journals and candidate journals of the Korea Research Foundation found 95 relevant papers, which were then categorized according to participants and topics. Studies with both pre-service and experienced teachers attempted to investigate SSI-related perceptions. Studies of pre-service teachers tended to examine the level and development pattern of argumentation or to analyze decision-making characteristics and informal reasoning. Studies of experienced teachers tended to analyze instructional expertise in SSI teaching activities, focusing on teachers with substantial SSI teaching experience. Middle and high school students-related studies examined student decision-making and reasoning processes in SSI learning activities, developed SSI class programs, and analyzed educational effects. Examining the characteristics of SSI classes for elementary school students was difficult because few such studies have been published. However, the characteristics that elementary school students show in SSI learning situations could be inferred. A plan to revitalize SSI classes in the elementary science education field from the perspective of teacher education and class research is suggested.
This study uses various methods, including media analysis, expert interviews, and large-scale surveys, to derive notable digital business trends in 2023. Most trend studies have yet to deal with digital business trends in Korea. They also often have limitations in the objectivity of the results using unclear methods. On the other hand, this study emphasizes the validity of the results by collecting opinions from Korean digital business experts in various fields. First, Korean IT news articles were collected and analyzed through topic modeling analysis. Then, based on the results, interviews were conducted with 13 academic and industrial experts to derive 16 IT business trend candidates. Then, a survey was conducted on 210 experts to finalize the list of Korean IT business trends. Finally, to compare overseas and domestic views, we conducted an additional survey using the items developed by the Society for Information Management, SIM. This study is meaningful in that it drew prospects for digital business trends in consideration of the domestic business environment by scientifically converging various opinions of Korean digital business leaders. Our study contributes to developing strategies for IT technology and IT service business markets.
Min-Ah Kim;Sung-Min Yook;Jieun Oh;Jimin Lim;Hye Ji Seo;Young-Suk Lim;Ji Soo Oh;Hye-Young Kim ;Ji-Yun Hwang
Journal of Nutrition and Health
/
v.57
no.2
/
pp.244-260
/
2024
Purpose: With the 2021 revision of dietary guidelines in Korean emphasizing environmentally sustainable dietary practices, this study attempted to develop an evaluation tool to comprehensively evaluate the degree of practice and compliance with food and nutrient intake, dietary habits, and dietary culture guidelines based on the revised dietary guidelines. Methods: The candidate evaluation items were collected by reviewing 934 literature reviews on domestic and foreign dietary evaluations. Fifty-nine candidate items were derived by selecting the items corresponding to dietary guidelines. The content validity ratio (CVR) cutoff point evaluation was conducted with 11 experts to delete 11 items that did not meet the CVR standard. Fifty-five pilot survey candidate items were selected through revision and additional process according to expert opinion. Seventy final candidate items were selected by adding 15 questions for validity verification and reference. A pilot survey was conducted online and offline on 332 adults aged 19-64 in Seoul and the metropolitan area, and exploratory factor analysis was used to verify the construct validity of the evaluation items. Through exploratory factor analysis, the Kaiser-Meyer-Olkin, Bartlett's sphericity test, variance explained, and Cronbach's alpha criteria were confirmed in each process. Results: Exploratory factor analyses derived three criteria: food and nutrient intakes (11 items), eating behaviors (9 items), and dietary culture (14 items), consisting of 34 evaluation items. Conclusion: The present scale was validated and can be used for comprehensive evaluations of the dietary guidelines for Korean adults in a simple way.
As experiential education services are growing, the need for proper management is increasing. Considering that adequate measures are an essential factor for achieving success in managing something, it is important for managers to use a proper system of metrics to measure the performance of experiential education services. However, in spite of this need, little research has been done to develop a valid and reliable set of metrics for assessing the quality of experiential education services. The current study aims to develop a multi-item instrument for assessing the service quality of experiential education. The specific procedure is as follows. First, we generated a pool of possible metrics based on diverse literature on service quality. We elicited possiblemetric items not only from general service quality metrics such as SERVQUAL and SERVPERF but also from educational service quality metrics such as HEdPERF and PESPERF. Second, specialist teachers in the experiential education area screened the initial metrics to boost face validity. Third, we proceeded with multiple rounds of empirical validation of those metrics. Based on this processes, we refined the metrics to determine the final metrics to be used. Fourth, we examined predictive validity by checking the well-established positive relationship between each dimension of metrics and customer satisfaction. In sum, starting with the initial pool of scale items elicited from the previous literature and purifying them empirically through the surveying method, we developed a four-dimensional systemized scale to measure the superiority of experiential education and named it "Experiential Education PERFormance" (EEPERF). Our findings indicate that students (consumers) perceive the superiority of the experiential education (EE) service in the following four dimensions: EE-empathy, EE-reliability, EE-outcome, and EE-landscape. EE-empathy is a judgment in response to the question, "How empathetically does the experiential educational service provider interact with me?" Principal measures are "How well does the service provider understand my needs?," and "How well does the service provider listen to my voice?" Next, EE-reliability is a judgment in response to the question, "How reliably does the experiential educational service provider interact with me?" Major measures are "How reliable is the schedule here?," and "How credible is the service provider?" EE-outcome is a judgmentin response to the question, "What results could I get from this experiential educational service encounter?" Representative measures are "How good is the information that I will acquire form this service encounter?," and "How useful is this service encounter in helping me develop creativity?" Finally, EE-landscape is a judgment about the physical environment. Essential measures are "How convenient is the access to the service encounter?,"and "How well managed are the facilities?" We showed the reliability and validity of the system of metrics. All four dimensions influence customer satisfaction significantly. Practitioners may use the results in planning experiential educational service programs and evaluating each service encounter. The current study isexpected to act as a stepping-stone for future scale improvement. In this case, researchers may use the experience quality paradigm that has recently arisen.
This study was conducted for screening on antioxidant activity of 429 plants and selecting new potential antioxidant candidates. In vitro test models such as scavenging activity on DPPH radical and inhibitory activity on linoleic acid oxidation were used in the preliminary study. Flower of Sanguisorba officinalis, flower of Sedum kamtschaticum, flower of Rumex obtusifolius, and root of Sedum kamtschaticum showed very effective antioxidant activity on DPPH radical and linoleic acid oxidation. Those plants showed 8.1, 9.4, 9.9, $11{\mu}g/ml$ in DPPH radical scavenging activity as $SC_{50}$ and did 80.4, 80.1, 84.5, 88.0% in inhibition activity on linoleic acid oxidation, respectively. Root of Sedum middendorfianum M. showed positive effects in superoxide radical scavenging activity ($38.4{\mu}g/ml$) and inhibitory effect on $CuSO_4$-induced LDL oxidation (53.8% at final concentration of $1{\mu}g/ml$). Gleditsia japonica Mig. showed high antioxidant activity on LDL oxidation as 71.6% at final concentration of $1{\mu}g/ml$ and total phenol content of 958.5 mg% as tannic acid equivalent. In conclusion, we think that these plants having potent antioxidant activity might be studied further and could be used as new resources for many purposes including healthy food, functional cosmetics and drug development etc.
This study aimed to isolate wild yeasts obtained from flowers and soil of the Wolpyung park, Daejeon city and Gykpo beach, Buan, Jeollabuk-do in Korea, and to further characterize previously unrecorded wild yeast strains. In total, 88 strains of 62 different species of wild yeasts were isolated from 75 samples obtained from the Wolpyung park. Among these, six strains of Trichosporon moniliiforme and four strains each of Papiliotrema flavescens and Candida melibiosica were isolated. Additionally, 39 strains of 30 different species of wild yeasts were isolated from 35 samples collected from the Gykpo beach. Among the 127 isolated wild yeast strains, 10 strains, including Apiotrichum porosum ASCM32-1, were previously unrecorded. All the 10 previously unrecorded yeasts were oval or global in shape, and three strains, including Candida athensensis WP4-90-3, formed spores. Three strains, including Vishniacozyma taibaiensis WP13-2, were halophilic yeasts which grew in 15% NaCl-containing YPD(yeast extract-peptone-dextrose) medium. Five strains, including C. athensensis WP4-90-3, showed 15% ethanol resistance. Cell-free extracts from Candida oleophila WP5-19-1 and Wickerhamomyces anomalus HO9-2 showed the highest β-glucuronidase inhibitory activity (49.0%) and neutrophil elastase inhibitory activity (38.4%), respectively.
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