• Title/Summary/Keyword: Cooperation level

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Mixture Bombyx mori L. and Liriopis seu Ophiopogonis Tuber effects on T cells in Thymus, Lymph Nodes (누에, 맥문동복합물의 흉선 림프절내 T세포 활성 유도 효능 연구)

  • Kim, Il Gyu;Park, Hae-Jin;Kim, Kyeong Jo;Kim, Soo Hyun;Kim, Min Ju;Lee, Jin A;Roh, Seong-Soo
    • The Korea Journal of Herbology
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    • v.33 no.5
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    • pp.47-52
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    • 2018
  • Objectives : The purpose of this study is to investigate effects on the immune system of Bombyx mori L. and Liriopis seu Ophiopogonis Tuber mixture (BL) in Thymus, Lymph Nodes. Methods : Eight-week-old male Balb/c mice were divided into five groups : Group one included the normal mice (Nor). Positive control group two administrated with red ginseng (RG) 100 mg/kg. Group three administrated with Bombyx mori L. (BX) 300 mg/kg. Group four administrated with Liriopis seu Ophiopogonis Tuber (LP) 300 mg/kg. Group five administrated with the mixture of Bombyx mori L. and Liriopis seu Ophiopogonis Tuber (BL) 300 mg/kg. After 2 weeks administration, mice were sacrified and antigen receptor in Thymus, Lymph Nodes was analyzed by using Fluorescence Activated Cellorter Sorting (FACS). we counted the total of Thymus and Lymph Nodes cells. GOT (glutamlc oxaloacetic transaminase), GPT (glutamlc pyruvic transamlnase) in serum were analyzed after experiment. Results : In Effects of Nor, RG, BX, LP, BL on the ratio of CD4+CD8+, CD4+CD69+ and CD4+CD25+ T cell in Thymus and Lymphnode, BL is higher than other groups except Nor in CD4+, CD4+CD69+, CD4+CD25+ T cell. The number of Thymus and Lymph Nodes increased in BL. In the level of GOT and GPT, BL decreased comparing to others group except Nor. Conclusions : BL may have effect on T cells in Thymus, Lymph Nodes. In addition, Bombyx mori could be immune functional material with others herb materials.

Learning Ability Prediction System for Developing Competence Based Curriculum: Focusing on the Case of D-University (역량중심 교육과정 개발을 위한 학업성취도 예측 시스템: D대학 사례를 중심으로)

  • Kim, Sungkook;Oh, Chang-Heon
    • Journal of Practical Engineering Education
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    • v.14 no.2
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    • pp.267-277
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    • 2022
  • Achievement at university is recognized in a comprehensive sense as the level of qualitative change and development that students have embodied as a result of their experience in university education. Therefore, the academic achievement of university students will be given meaning in cooperation with the historical and social demands for diverse human resources such as creativity, leadership, and global ability, but it is practically an indicator of the outcome of university education. Measurement of academic achievement by such credits involves many problems, but in particular, standardization of academic achievement by credits based on evaluation methods, contents, and university rankings is a very difficult problem. In this study, we present a model that uses machine learning techniques to predict whether or not academic achievement is excellent for D-University graduates. The variables used were analyzed using up to 96 personal information and bachelor's information such as graduation year, department number, department name, etc., but when establishing a future education course, only the data after enrollment works effectively. Therefore, the items to be analyzed are limited to the recommended ability to improve the academic achievement of the department/student. In this research, we implemented an academic achievement prediction model through analysis of core abilities that reflect the philosophy, goals, human resources image, and utilized machine learning to affect the impact of the introduction of the prediction model on academic achievement. We plan to apply the results of future research to the establishment of curriculum and student guidance conducted in the department to establish a basis for improving academic achievement.

Integral Pest Management of the Western Flower Thrips, Frankliniella occidentalis: Optimal Time to Introduce a Natural Predator after Chemical Insecticide Treatment (꽃노랑총채벌레 종합방제 - 화학농약 처리 후 안정적 천적 투입 시기)

  • Chulyoung, Kim;Donghyun, Lee;Donghee, Lee;Eunhye, Ham;Yonggyun, Kim
    • Korean journal of applied entomology
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    • v.61 no.4
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    • pp.519-528
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    • 2022
  • The western flower thrips, Frankliniella occidentalis, infests the hot pepper cultivated in greenhouses and has been considered to be controlled by a natural enemy, Orius laevigatus. However, sporadic outbreaks of the thrips due to fast population growth occasionally need chemical insecticide treatments. This study was designed to develop an optimal integrated pest management (IPM) by using selective insecticides along with a safe re-introduction technique of the natural enemy after the chemical insecticide treatment. First, chemical insecticides were screened to select the high toxic commercial products against F. occidentalis. Five insecticides containing active components (pyriproxyfen+spinetoram, abamectin, spinosad, acetamiprid, and chlorpyrifos) were selected among 17 commercial products. These five selected insecticides gave different toxic properties to the natural enemy, O. laevigatus. Especially, abamectin and spinetoram gave relatively low toxicity to the natural enemy compared to organophosphate or neonicotinoid. Furthermore, the five selected insecticides were assessed in their residual toxicities against O. laevigatus. Organophosphate and neonicotinoid insecticides showed relatively longer residual toxicity compared to abamectin and spinosads. Indeed, abamectin or spinetoram did not give any significant toxicity to O. laevigatus after 3 days post-treatment. These residual effects were further supported by the assessment of the chemical residue analysis of the insecticides using LC-MS/MS. These results suggest an IPM technology: (1) chemical treatment of abamectin or spinetoram against sporadic outbreaks of F. occidentalis infesting hot pepper and (2) re-introduction of O. laevigatus to the crops after 3 days post-treatment to depress the equilibrium density below an economic injury level.

Building the University Entrepreneurial Ecosystem towards Hub University at Seoul National University in Korea (서울대 창업생태계의 형성과정과 허브 대학으로의 변화)

  • Soyeong Jung;Yangmi Koo
    • Journal of the Economic Geographical Society of Korea
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    • v.25 no.4
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    • pp.469-483
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    • 2022
  • This paper aims to examine how and why the role of Seoul National University has evolved through the formation of Seoul National University's entrepreneurial ecosystems (SNUEEs). To identify this, we used secondary data on SNU entrepreneurship and did in-depth interviews with 17 student entrepreneurs and supportive actors in the ecosystems. First, the university-industry cooperation policy and the first start-up boom in the late 1990s gave rise to the first generation of SNUEEs. They entered the second generation with the second start-up boom in 2010. The third generation emerged through the government's start-up support policy and the venture investment market revitalization in 2017. Second, SNUEEs have experienced transformations of the university's role from an 'ivory tower' to a 'feeder of knowledge and labor' and have become a 'hub of knowledge networks.' Third, hub institutions and organizations were established and supported by government policies, and networks of SNUEEs have been embedded in these hub institutions and organizations. SNUEEs as a hub university are evolving through the formation of a voluntary entrepreneurial culture by student entrepreneurs, the supportive policy at the university level, and the establishment of linkages with the region where the university is located.

Effects of Preference for Science and Self-Directed Learning Ability of the Science Puppet Show Program Developed as a STEAM Education Model (융합인재교육 모델로서 과학인형극 프로그램의 과학선호도와 자기주도적 학습능력에 대한 효과)

  • Ha, Ju Il;Kim, Kyoung Soo
    • Korea Science and Art Forum
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    • v.21
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    • pp.437-449
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    • 2015
  • The research aims to verify the effects of preference for science and self-directed learning ability of the science puppet show program that the researcher has developed as a STEAM education model. The results for conducting the survey with the same questionnaire before and after the program targeting the students showed that the science puppet show had effects on increasing the science related assignment performance will of the behavioral will among the three sub-dimensions including emotional respond, value cognition and behavioral will, but there was no effect on overall aspects of science preference. It can be interpreted as reflecting the characteristics of the scientific talents who already have a high level of preference for science. In addition, the three sub-dimensions including the cognitive regulation, motivational regulation and behavioral regulation had effects on the self-directed learning ability. Especially it had great effects on the directed learning ability of cognitive regulation, learning motivation of motivational regulation, tool application of behavioral regulation, and cooperation capacity which were greater for female students than male students. It is judged that the three-staged science puppet show program including the 'content integrating stage' that the students integrate the curriculum contents, 'integrated mission stage' of solving the visualization, auralization and performance missions by themselves, and 'process integration stage' of making the stage piece all together.

From Radon and Thoron Measurements, Inhalation Dose Assessment to National Regulation and Radon Action Plan in Cameroon

  • Saidou;Shinji Tokonami;Masahiro Hosoda;Augustin Simo;Joseph Victor Hell;Olga German;Esmel Gislere Oscar Meless
    • Journal of Radiation Protection and Research
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    • v.47 no.4
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    • pp.237-245
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    • 2022
  • Background: The current study reports measurements of activity concentrations of radon (220Rn) and thoron (220Rn) in dwellings, followed by inhalation dose assessment of the public, and then by the development of regulation and the national radon action plan (NRAP) in Cameroon. Materials and Methods: Radon, thoron, and thoron progeny measurements were carried out from 2014 to 2017 using radon-thoron discriminative detectors (commercially RADUET) in 450 dwellings and thoron progeny monitors in 350 dwellings. From 2019 to 2020, radon track detectors (commercially RADTRAK) were deployed in 1,400 dwellings. It was found that activity concentrations of radon range in 1,850 houses from 10 to 2,620 Bq/㎥ with a geometric mean of 76 Bq/㎥. Results and Discussion: Activity concentrations of thoron range from 20 to 700 Bq/㎥ with a geometric mean of 107 Bq/㎥. Thoron equilibrium factor ranges from 0.01 to 0.6, with an arithmetic mean of 0.09 that is higher than the default value of 0.02 given by UNSCEAR. On average, 49%, 9%, and 2% of all surveyed houses have radon concentrations above 100, 200, and 300 Bq/㎥, respectively. The average contribution of thoron to the inhalation dose due to radon and thoron exposure is about 40%. Thus, thoron cannot be neglected in dose assessment to avoid biased results in radio-epidemiological studies. Only radon was considered in the drafted regulation and in the NRAP adopted in October 2020. Reference levels of 300 Bq/㎥ and 1,000 Bq/㎥ were recommended for dwellings and workplaces. Conclusion: Priority actions for the coming years include the following: radon risk mapping, promotion of a protection policy against radon in buildings, integration of the radon prevention and mitigation into the training of construction specialists, mitigation of dwellings and workplaces with high radon levels, increased public awareness of the health risks associated with radon, and development of programs on the scientific and technical aspects.

Construction and Operation of Small Solar Plant Using Smart-Off-Grid: Case of Tanzania-Korea Innovative Technology and Energy Center (스마트-독립전력망을 사용한 소규모 태양광 발전소의 건설과 운영: 한국-탄자니아 적정기술 거점센터의 사례)

  • Kim, Jisoo;Jung, Woo-Kyun;Ha, Bo-Ra;Moon, Ji-Hyun;Rhee, Herb;Ahn, Sung-Hoon
    • Journal of Appropriate Technology
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    • v.5 no.2
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    • pp.62-69
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    • 2019
  • Supplying stable electric power is one of the important objectives of the Official Development Assistance (ODA) because it is strongly related with improving living standards and income levels in the region. However, rural areas in many developing countries are not properly connected to national power grids, and even areas connected to national power grids are frequently blacked out due to limitations in power capacity. These lack of electric power is a major obstacle to improving income levels and improving living standards in those areas. The Korea-Tanzania Innovative and Energy Center (iTEC), which was established by Seoul National University in cooperation with the Nelson-Mandela Africa Institute of Science and Technology and Technology (NM-AIST) try to build a small solar power plant using a smart-off grid in rural area of Tanzania, where there is no electricity. 10 kW and 7 kW solar power plants are built in Mkalama Village in Kilimanajaro Region and Ngurdoto Village in Arusha Region to provide power to about 50 households each. In addition, smart monitoring systems were installed to collect data about status of power system and power consumption of each house. iTEC seeks for sustainable improvement the income level and quality of life of rural residents in developing countries through the construction of small solar power plants using smart-off grid, and the implementation of various connected projects.

FDI and the Evolution of Directed Technological Progress Bias: New Evidence from Korean Outward Investment

  • Boye Li;Xiang Li;Yaokun Wu
    • Journal of Korea Trade
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    • v.27 no.5
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    • pp.1-22
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    • 2023
  • Purpose - Southeast Asia has been the focus of Korea's foreign investment. Korea has been helping developing countries in Southeast Asia achieve economic growth and win-win cooperation through capital exports. FDI is an important channel for technology diffusion. However, the impact of FDI on the bias of technological progress in the host country is dependent on the host country's own endowment structure and capital-labor factor substitution elasticity. Therefore, the central issue of this paper is to accurately evaluate the impact of Korea's FDI to the four Southeast Asian countries in various industries on their bias of technological progress. Design/methodology - The paper uses macroeconomic data for Korea and four East Asian countries to estimate capital-labor factor elasticities of substitution using nonlinear, seemingly uncorrelated regressions (NLSUR). Then, the biased technological change index (BTCI) is calculated for each country. Finally, panel data analysis is used to explore the impact of Korean FDI in various industries in the four Southeast Asian countries on their own directed technological progress, and a robustness test is conducted. Findings - There is a substitution relationship between capital and labor factors based on their elasticity in Korea, Singapore and the Philippines. There is a complementary relationship between capital and labor factors in Indonesia and Malaysia. According to the BTCI, there is a trend toward labor-biased technological progress in all countries. Korean investments in manufacturing, wholesale and retail trade in the host country trigger capital-biased technological change in the host country; investments in the finance, insurance and information and communication sectors trigger labor-biased technological change. In addition, this paper also confirms that directed technological progress can enable cross-country transmission. Originality/value - The innovation of this paper lies in three aspects. First, we estimate the BTCI for five countries and explore the trend and situation of directed technological progress in each country from each country's own perspective. Second, we explore the impact of Korean FDI in the host country on the bias to its technological progress at the industry level. Second, we explore the impact of Korean FDI in various industries in the four Southeast Asian countries on the four countries' own directed technological progress from a national perspective. Finally, we propose corresponding countermeasures for technological progress from the perspective of inverse factor endowment. These innovative points not only expand the understanding of technological progress and cross-country technology transfer in East Asia but also provide practical references for policy-makers and business operators.

Factors Affecting Social Capital Awareness of Social economy (사회적 자본이 사회적경제 인식에 영향을 미치는 요인)

  • Kuk-Gwen Lee;Seon-Gyeong Park
    • The Journal of the Convergence on Culture Technology
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    • v.9 no.6
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    • pp.827-831
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    • 2023
  • This study sought to verify and examine the factors that influence social capital on social economy awareness. To summarize the results of the study, the results are as follows. As a result of analyzing the impact of social capital on social economy awareness, norms (t=3.228, p<.01) and participation (t=3.057, p<.01) had a significant impact on social economy awareness. In other words, the better the norms are observed and the higher the participation, the more influence it has on social economy awareness. Based on these results, the following implications were drawn. First, 'norms' refer to rules or standards that community members must adhere to within society, and these norms play a role in regulating the behavior of individuals and promoting social cooperation. Through this, it is believed that a strong normative system can have a significant impact on the way people participate or cooperate in social economy activities. Second, 'participation' is an indicator of how actively an individual or group participates in social activities. People with high levels of participation through social capital will have a high level of understanding of social economy awareness and will be able to act effectively. These results show that in previous studies, the better the norms were observed and the more trust and networks were strengthened, the higher the awareness of social economy. In contrast, in this study, norms and trust were found to have an effect, but the network did not, showing a difference from the results of previous studies, so repeated research is expected to be necessary in the future. Considering the results above, strengthening and developing the elements of social capital such as norms and participation can have a positive impact on overall socioeconomic awareness and development.

A Study on the Density Analysis of Multi-objects Using Drone Imaging (드론 영상을 활용한 다중객체의 밀집도 분석 연구)

  • WonSeok Jang;HyunSu Kim;JinMan Park;MiSeon Han;SeongChae Baek;JeJin Park
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.23 no.2
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    • pp.69-78
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    • 2024
  • Recently, the use of CCTV to prevent crowd accidents has been promoted, but research is needed to compensate for the spatial limitations of CCTV. In this study, pedestrian density was measured using drone footage, and based on a review of existing literature, a threshold of 6.7 people/m2 was selected as the cutoff risk level for crowd accidents. In addition, we conducted a preliminary study to determine drone parameters and found that the pedestrian recognition rate was high at a drone altitude of 20 meters and an angle of 60°. Based on a previous study, we selected a target area with a high concentration of pedestrians and measured pedestrian density, which was found to be 0.27~0.30 per m2. The study shows it is possible to measure risk levels by determining pedestrian densities in target areas using drone images. We believe drone surveillance will be utilized for crowd safety management in the near future.