• Research in Community and Public Health Nursing
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• v.10 no.1
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• pp.183-203
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• 1999

High school is regarded as the period when many important physical, mental and social developments occur, and when many health-related behaviors are formed. School health education is one of the major learning resources influencing health potential in the home and community as well as for the individual student. High school health education in Korea has a fundamental systemic flaw however, in that health -related subjects are divided and taught under various subjects at school. In order to achieve quality health education, it is essential to assess the learners' and teachers' educational needs. So far, most of the research projects that had been carried out for improving high school health education were limited to only the learners' educational need. They failed to in elude an educational assessment of the teachers. Therefore, in this study the high school health education teachers' needs relating to health education were investigated through a focus on the teachers' health education activity level, health education activity self-efficacy level, and perceived level of importance in health education content. In this study, research instruments these factors were constructed by Yoo(1997) on the basis of the PRECEDE model. The data for this study were collected from a sample consisting of twenty general and vocational high schools in Seoul and Chongju for a two month period beginning in July, 1996. In analyzing the data, an ANOVA test and stepwise multiple regression were accomplished using an SPSS - PC+ program. The results were as follows: The average level of health education activity and self-efficacy among high school health edu cation teachers were found to be low. But, teachers' perceived importance of health education contents was high. Teachers' activity and perceived importance concerning sex education were lower than in other health education areas. Health education activity of Military drill teachers was higher than that of physical education teachers as well as school nurses. But it was not significant. Health education activity self-efficacy of school nurses was higher than that of other teachers(p<.05). Perceived level of importance of health education contents was the most influential variable in teachers' health education activity. Health education activity self-efficacy level was not an influential variable in teachers' health education activity. The significance of this study is that it has diagnosed the needs of high school health education through the teachers' assessment of a variety of health factors related. These findings suggest that the management of an integrated health education, program requiring large changes in the curriculum of health education is necessary.

• Journal of the Daesoon Academy of Sciences
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• v.45
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• pp.69-102
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• 2023

There has been a growing demand for spiritual education in public education in recent years. In fact, the concept of spirituality was included in the national religious curriculum in 2022. However, compulsory spiritual education based on the national curriculum is different from individual or private organization-based spiritual education which can be characterized as voluntary. This article aims to discuss the potential problems that may arise when making spiritual education compulsory in public education. This discussion includes the expansion of spiritual discourse and the scope of spirituality, the contents and examples of spiritual education, and the implications of compulsory spiritual education. My perspective on this topic is that the religious curriculum, being a national curriculum, should be applicable to all schools and learners. The channels for expanding spiritual discourse include studies for measuring each individual's spirituality or religiosity and spiritual tourism. Both exclusive and inclusive spirituality coexist within spiritual discourse. Furthermore, spiritual educators criticize knowledge-based education for its tendency towards romanticization, while overlooking reflective education in national religious curriculum. Additionally, the normative nature inherent in the concept of spirituality is often overlooked, despite the potential recurrence of problems seen in faith-based education. This article suggested that the minimum principle for the nation's religious curriculum should be that "religious or normative knowledge is not to be injected or delivered but rather reflected upon." This principle aims to provide an opportunity for learners to reflect on their religious experiences or lives subjectively. When this principle is applied, spirituality becomes the object of reflection and selection for learners. Above all, learners with reflective thinking skills will be able to live independently, even if their experiences and lives change. We hope that this article will serve as an opportunity to continually reflect on the form of religious education found in public education.

• Journal of Ginseng Research
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• v.41 no.3
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• pp.353-360
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• 2017

Background: Endophytic fungi play an important role in balancing the ecosystem and boosting host growth. In the present study, we investigated the endophytic fungal diversity of healthy Panax notoginseng and evaluated its potential antimicrobial activity against five major phytopathogens causing root-rot of P. notoginseng. Methods: A culture-dependent technique, combining morphological and molecular methods, was used to analyze endophytic fungal diversity. A double-layer agar technique was used to challenge the phytopathogens of P. notoginseng. Results: A total of 89 fungi were obtained from the roots, stems, leaves, and seeds of P. notoginseng, and 41 isolates representing different morphotypes were selected for taxonomic characterization. The fungal isolates belonged to Ascomycota (96.6%) and Zygomycota (3.4%). All isolates were classified to 23 genera and an unknown taxon belonging to Sordariomycetes. The number of isolates obtained from different tissues ranged from 12 to 42 for leaves and roots, respectively. The selected endophytic fungal isolates were challenged by the root-rot pathogens Alternaria panax, Fusarium oxysporum, Fusarium solani, Phoma herbarum, and Mycocentrospora acerina. Twenty-six of the 41 isolates (63.4%) exhibited activity against at least one of the pathogens tested. Conclusion: Our results suggested that P. notoginseng harbors diversified endophytic fungi that would provide a basis for the identification of new bioactive compounds, and for effective biocontrol of notoginseng root rot.

• Journal of Life Science
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• v.29 no.6
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• pp.645-652
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• 2019

Non-small cell lung cancer (NSCLC) has the infamous distinction of being the leading cause of global cancer-related death over the past decade, and novel molecular targets are urgently required to change this status. We previously conducted a microarray analysis to investigate the association of transcription factor activating enhancer-binding protein 2C (TFAP2C) with NSCLC and revealed its oncogenic roles in NSCLC development. In this study, to identify new biomarkers for NSCLC, we focused on several oncogenes from the microarray analysis that are transcriptionally regulated by TFAP2C. Here, the cell division cycle 20 (CDC20) and tribbles pseudokinase 3 (TRIB3) were subsequently found as potential potent oncogenes as they are positively regulated by TFAP2C. The results showed that the mRNA and protein levels of CDC20 and TRIB3 were down-regulated in two NSCLC cell lines (NCI-H292 and NCI-H838), which were treated with TFAP2C siRNA, and that the overexpression of either CDC20 or TRIB3 was responsible for promoting cell viability in both NSCLC cell lines. In addition, apoptotic levels of NCI-H292 and NCI-H838 cells treated with TFAP2C siRNA were found to be suppressed by the overexpression of either CDC20 or TRIB3. Together, these results suggest that CDC20 and TRIB3 are positively related to NSCLC tumorigenesis and that they should be considered as potential prognostic markers for developing an NSCLC therapy.

• Journal of Life Science
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• v.33 no.9
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• pp.693-702
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• 2023

The present study examined the rate of cell growth and differentiation potential into adipocytes in A549 lung adenocarcinoma cells exposed to each adipogenic medium containing glucose metabolism hormones, such as thyroxine (T4) thyroid hormone and glucocorticoid (GC) adrenal steroid hormone, as well as pioglitazone (PGZ), a PPARγ agonist. Following each adipogenic treatment for 2 weeks, the rate of cell growth was significantly (p<0.05) inhibited, and the level of telomerase activity was significantly (p<0.05) decreased in the PGZ-based adipogenic medium containing both T4 and GC hormone compared with those containing each T4 or GC hormone. Moreover, the adiposome-like vesicles were highly reacted with Oil-Red O staining solution, and the levels of transcripts expressed in the differentiating adipocytes for adipogenesis, including adinopectin, leptin, and resistin, were significantly (p<0.05) increased in the PGZ-based adipogenic medium containing both T4 and GC hormone compared with those of the adipogenic medium containing each T4 or GC hormone, implying that adipocytic differentiation has fully occurred in the A549 cancer cells. Based on present observations, the PGZ-based adipogenic medium containing both T4 and GC efficiently induces inhibition of cell growth and cellular differentiation into adipocytes in A549 cancer cells rather than in the adipogenic medium containing only T4 or GC hormone. Adipogenic treatment could provide potential probability in cancer chemotherapy.

• Nuclear Engineering and Technology
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• v.55 no.1
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• pp.339-352
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• 2023

Prediction of the time-related traits of pebble flow inside pebble-bed HTGRs is of great significance for reactor operation and design. In this work, an image-driven approach with the aid of a convolutional neural network (CNN) is proposed to predict the remaining time of initially loaded pebbles and the time interval of paired flow images of the pebble bed. Two types of strategies are put forward: one is adding FC layers to the classic classification CNN models and using regression training, and the other is CNN-based deep expectation (DEX) by regarding the time prediction as a deep classification task followed by softmax expected value refinements. The current dataset is obtained from the discrete element method (DEM) simulations. Results show that the CNN-aided models generally make satisfactory predictions on the remaining time with the determination coefficient larger than 0.99. Among these models, the VGG19+DEX performs the best and its CumScore (proportion of test set with prediction error within 0.5s) can reach 0.939. Besides, the remaining time of additional test sets and new cases can also be well predicted, indicating good generalization ability of the model. In the task of predicting the time interval of image pairs, the VGG19+DEX model has also generated satisfactory results. Particularly, the trained model, with promising generalization ability, has demonstrated great potential in accurately and instantaneously predicting the traits of interest, without the need for additional computational intensive DEM simulations. Nevertheless, the issues of data diversity and model optimization need to be improved to achieve the full potential of the CNN-aided prediction tool.

• Journal of The Korean Association For Science Education
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• v.43 no.3
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• pp.307-319
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• 2023

This study aims to explain the key concepts and principles of text-based generative artificial intelligence (AI) that has been receiving increasing interest and utilization, focusing on its application in science education. It also highlights the potential and limitations of utilizing generative AI in science education, providing insights for its implementation and research aspects. Recent advancements in generative AI, predominantly based on transformer models consisting of encoders and decoders, have shown remarkable progress through optimization of reinforcement learning and reward models using human feedback, as well as understanding context. Particularly, it can perform various functions such as writing, summarizing, keyword extraction, evaluation, and feedback based on the ability to understand various user questions and intents. It also offers practical utility in diagnosing learners and structuring educational content based on provided examples by educators. However, it is necessary to examine the concerns regarding the limitations of generative AI, including the potential for conveying inaccurate facts or knowledge, bias resulting from overconfidence, and uncertainties regarding its impact on user attitudes or emotions. Moreover, the responses provided by generative AI are probabilistic based on response data from many individuals, which raises concerns about limiting insightful and innovative thinking that may offer different perspectives or ideas. In light of these considerations, this study provides practical suggestions for the positive utilization of AI in science education.

• Korean Journal of Culture and Arts Education Studies
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• v.5 no.1
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• pp.97-147
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• 2010

Under the recent trend of globalization, a new proposal on education has not been able to avoid the request for multi-cultural trend. Furthermore, education has been exposed to circumstances which are far different from the previous situations in which global cooperation and intercultural understanding have been more emphasized. 'Educational Nomadism'is a metaphor of creating new value and significance of education. In fact, transnational education which could be a crisis and opportunity at the same time has recently been the mainstream throughout the world. In terms of education, Korea has encountered base hollowing-out in which excessive dependence on the US education and autonomous education coexist. In fact, the world has spent a lot of time and money to have better educational background on a resume through redundant expense by the government and parents. Under this critical situation, it's urgent to change Korea's modern education into a creative educational system in connection with an advanced foreign educational system and further develop the advantage of Korea's education. A parent's investment in his/her child is a support to create new culture as well as an assistance for hope and better future of Korean education. A new direction of parents' education fever that has opened a door to global communitas can stir up infinite potential through which the flow of education fever can be changed to the resources of new civilization. The global cooperation and efforts for communitas means the communication with this world. Through this communication, the culture in which people are forced to zero-sum competition can leap into the education for change of civilization which creates pleasure of self sufficiency and donation.

• Bulletin of the Korean Chemical Society
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• v.34 no.12
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• pp.3835-3839
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• 2013

A new synthesis route for Pt nanoparticles by direct electrochemical reduction of a solid-state Pt ion precursor ($K_2PtCl_6$) is demonstrated. Solid $K_2PtCl_6$-supported polyethyleneimine (PEI) coatings on the surface of glassy carbon electrode were prepared by simple mixing of solid $K_2PtCl_6$ into a 1.0% PEI solution. The potential cycling or a constant potential in a PBS (pH 7.4) medium were applied to reduce the solid $K_2PtCl_6$ precursor. The reduction of Pt(IV) began at around -0.2 V and the reduction potential was ca. -0.4 V. A steady state current was achieved after 10 potential cycling scans, indicating that continuous formation of Pt nanoparticles by electrochemical reduction occurred for up to 10 cycles. After applying the reduction potential of -0.6 V for 300 s, Pt nanoparticles with diameters ranging from $0.02-0.5{\mu}m$ were observed, with an even distribution over the entire glassy carbon electrode surface. Characteristics of the Pt nanoparticles, including their performance in electrochemical reduction of $H_2O_2$ are examined. A distinct reduction peak observed at about -0.20 V was due to the electrocatalytic reduction of $H_2O_2$ by Pt nanoparticles. From the calibration plot, the linear range for $H_2O_2$ detection was 0.1-2.0 mM and the detection limit for $H_2O_2$ was found to be 0.05 mM.

• Journal of the Korean Dietetic Association
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• v.23 no.4
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• pp.408-430
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• 2017

The purpose of this study was performed to investigate dietary and lifestyle habits, dietary behaviors, and food frequency according to the level of smartphone addiction among 408 university students in Kyungnam province. Statistical analyses were performed using the SPSS software package. Based on using the Smartphone Addiction Poneness Scale, 28.4% were potential-risk smartphone users and while 13.2% were high-risk smartphone users. The levels of depression (P<0.05) and stress (P<0.05) and frequency of snacks (P<0.01) were higher in high-risk and potential-risk groups than in the normal group, and meal frequency was highest in the high-risk group (P<0.01). Percentages of using a smartphone at meal time (P<0.01) and snacking while using a smartphone (P<0.01) were higher in potential-risk and high-risk groups than in the normal group. Percentages of skipping meals (P<0.001) and slow eating speed (P<0.01) due to using a smartphone were higher in high-risk and potential-risk groups than in the normal group, and percentages of taste change (P<0.05) were higher in the high-risk group than in the potential-risk and normal groups. Percentages of exercise reduction (P<0.01), body weight increase (P<0.05), sleep disturbance (P<0.001), and increase in stress (P<0.01) due to using a smartphone were higher in the high-risk group than in the normal group. Scores of dietary behaviors avoiding salty food (P<0.01) and excessive drinking (P<0.001) were higher in the high-risk group than in the normal group. Scores for frequency of oil or nuts (P<0.05) and fatty meats (P<0.01) were highest in the high-risk group. Our results suggest that effective nutrition education programs are needed to solve unhealthy dietary and lifestyle habits from high-risk smartphone users in university students.