• Journal of Life Science
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• v.26 no.7
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• pp.812-818
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• 2016

The aim of this study was to investigate the anti-amnesic effect of Stachys sieboldii MIQ. according to the mixing ratio of calcium on scopolamine-induced learning and memory impairment, in vivo. At the end of the adaptation period, SD rats were divided into a normal group (N), a control group (C: scopolamine), a positive control group (PC: scopolamine + tacrine), and a sample group (S: scopolamine + Stachys sieboldii MIQ., 1CS: scopolamine + low calcium-mixed Stachys sieboldii MIQ., 5CS: scopolamine + high calcium-mixed Stachys sieboldii MIQ.), and were tested with learning and memory tests. The C and CS groups were found to have a decreased scopolamine-induced memory deficit in the Y-maze and water maze tests. Brain tissue analysis showed that the CS group decreased acetylcholinesterase (AChE) activity and increased acetylcholine (Ach) content, both of which are indicative of neuronal cell activity. From a light microscopy study, the nucleus of neurons in the hippocampus of the brain was more shrunken or condensed in the C group compared to the CS group. In the CS group, the damage to the neurons in the hippocampus of the brain was suppressed. These results suggest that Stachys sieboldii MIQ. according to the mixing ratio of calcium provides a significant anti-amnesic effect against scopolamine-induced cholinergic system deficits and cognitive impairment.

• Journal of Internet of Things and Convergence
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• v.8 no.6
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• pp.21-26
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• 2022

This study aims to enhance the cultivation of SW·AI basic competencies of middle school students by forming and distributing SW·AI education programs for middle school students who form the basis of their lives. In addition, by planning SW·AI education programs in connection with the regular curriculum, it is intended to serve as a cornerstone for the public education of SW·AI education that will be implemented from 2025. To this end, the concept of SW and AI in middle school was first defined and a plan to link software/artificial intelligence learning factors to the regular curriculum was proposed, and based on this, SW·AI education programs for middle school students were prepared. Based on literature research, the understanding of artificial intelligence technology, the value of data, and the use of artificial intelligence technology in real life were set as SW·AI education contents, and educational programs were organized by linking them with the current middle school curriculum. All SW·AI education was organized in the form of practice rather than theory so that classes could be conducted centered on participants, and the purpose of the course was to cultivate the ability to use artificial intelligence technology in real life based on understanding artificial intelligence technology.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.3
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• pp.568-578
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• 2021

Patents that are research results from industry-university cooperation (IUC) are a source of innovation, and play an important role in economic growth, such as technology transfer and commercialization. For this reason, there are many efforts to revitalize IUC, but in general, company patents are achievements that can be commercialized, rather than research achievements, so not all patents are used for business, even after their creation as the outcome of IUC. Therefore, this research supports the design of measures in which IUC can ultimately be linked to successful utilization of patents by identifying the purposes of IUC, even after it has been successfully promoted, and patents have been filed as a result. To this end, first, the patents registered for industry-academia cooperation in the United States are collected, and second, a predictive model is designed, with unexpired and expired patents predicted using machine learning techniques. The final identified patents are intended to derive available factors in terms of marketability and technicality. This study is expected to help predict the utilization of unexpired and expired patents, and is expected to contribute to setting goals for research results from technical cooperation between corporate and university officials planning early IUC.

• Journal of the International Relations & Interdisciplinary Education
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• v.4 no.1
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• pp.1-18
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• 2024

This study is a qualitative case study on the experience of an on-site, audience-participatory educational play conducted by four college students majoring in theater under the title 'Hooni and Choroki' for 7-year-old kindergarten students about to enter elementary school. The core theme of the play is to help relieve anxiety about school life before entering elementary school and to communicate smoothly with peers. To this end, college students participate in scenario planning, kindergarten recruitment, and 40-minute training at three kindergartens. He even conducted theatrical performances. As a result of the study, the key components of 'another growth in my life', 'improvement of happiness through meeting children', and 'new challenge toward dreams' were derived. The greatest significance of this study is that the audience-participatory educational theater experience allowed college students to practice sharing the results of their learning with someone else, and through this practice of sharing learning, they were able to realize their somewhat vague career paths and dreams. It was an opportunity that allowed me to experience 'improved confidence' and 'a resonance in my heart' so that I could set a direction. We hope that future educational theater with audience participation will be widely implemented in various aspects.

• Information Systems Review
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• v.25 no.3
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• pp.59-81
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• 2023

Elderly suicide problem has become worse in South Korea. With a rapid aging of the population, the trend of suicide among the elderly is expected to accelerate, preventing elderly suicide has been considered an important societal problem. Thus, we aim to investigate various factors that explain suicidal ideation and to develop a predictive model for suicidal ideation in the context of elderly people in South Korea. To this end, this study contributes to addressing the elderly suicide problem. By using seven-year panel data from the Korea Welfare Panel Survey, we extract various potential causal factors for elderly suicidal ideation based on interpersonal theory of suicide and social disorganization theory. Then a panel logit model was employed to assess the impacts of potential factors on suicidal ideation and deep learning and machine learning algorithms were used to develop a predictive model for suicidal ideation of elderly people. The results of our study provide practical implications for preventing elderly suicide by identifying causal factors of suicidal ideation and a high suicidal risk group of the elderly. This study sheds light on synergy of mixed methodology and provides various academic implications.

• Journal of the Earthquake Engineering Society of Korea
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• v.3 no.3
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• pp.9-20
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• 1999

A method is proposed to estimate the joint damages of a steel structure from modal data using the neural networks technique. The beam-to-column connection in a steel frame structure is represented by a zero-length rotational spring of the end of the beam element, and the connection fixity factor is defined based on the rotational stiffness so that the factor may be in the range 0~1.0. Then, the severity of joint damage is defined as the reduction ratio of the connection fixity factor. Several advanced techniques are employed to develop the robust damage identification technique using neural networks. The concept of the substructural indentification is used for the localized damage assessment in the large structure. The noise-injection learning algorithm is used to reduce the effects of the noise in the modal data. The data perturbation scheme is also employed to assess the confidence in the estimated damages based on a few sets of actual measurement data. The feasibility of the proposed method is examined through a numerical simulation study on a 2-bay 10-story structure and an experimental study on a 2-story structure. It has been found that the joint damages can be reasonably estimated even for the case where the measured modal vectors are limited to a localized substructure and the data are severely corrupted with noise.

• Journal of the Korean earth science society
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• v.41 no.5
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• pp.531-554
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• 2020

In order to provide explanations of the practice of the abductive inquiry-based outdoor geological fieldwork education, this study examined the characteristics of students' performance in geological fieldwork before and after the introduction of explicit learning of geologic knowledge and inquiry. To this end, a 21st-class program was developed in the order of pre-evaluation, initial fieldwork, explicit learning of geologic knowledge and inquiry, and post-evaluation and applied to nine middle school students. As research data, outdoor geological fieldwork class recording data and students' activity sheets were collected and analyzed qualitatively. As a result, during the initial fieldwork, students caught clues of low geological importance and used everyday experience and/or general scientific knowledge as a rule when asked to generate hypotheses about the origin of the clues. Also, students evaluated their hypotheses by the scientific accuracy of the rule or their own criterion. Meanwhile, during the final fieldwork, students frequently caught key clues in geologic perspectives and generated geological event hypotheses related to the clues by borrowing geologic knowledge as a rule. Furthermore, students scientifically evaluated their hypotheses based on the consistency of evidence and rules. Combining these results, the effects of learners' geological knowledge and inquiry (abduction) abilities as a path model were presented in order to help students carry out a proficient abductive inquiry in geological fieldwork.

• Journal of Elementary Mathematics Education in Korea
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• v.14 no.1
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• pp.43-64
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• 2010

This study aimed to foster the learning abilities of mathematics, that is, along with the formation of a sure mathematical concept, extending the powers of doing mathematics, and bringing the creativities for 3rd grade elementary school children. In order to achieve these objects, we have executed mathematical classes for two consecutive hours of 16 times using the teaching model of [Learning contents in textbook]$\rightarrow$[The first problem Posing]$\rightarrow$[Problem solving to childrens' posing some problems]$\rightarrow$[Advanced problem posing] to 3rd grade school children during the first semester of 2009. In this paper, we analyzed problems that are made by children focusing on the four fundamental rules +, -, ${\times}$, $\div$ of arithmetic, with the view points of problem's completion, fluencies, flexibilities, buildings of concept, originalities and using materials. As a result of the comparative analysis of the first problems and advanced problems made by the children, the first problems were revealed to be rather better in of problem's completion and fluencies. And the flexibilities were improved in the division and multiplication classes carried on. Setting up the experimental and comparative class, we compared to the scholastic achievement of two classes for the beginning and end in the first semester. In the result, the former was improved in the scholastic achievement more than the latter.

• Journal of Digital Convergence
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• v.18 no.10
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• pp.1-12
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• 2020

This is a study on the direction of the teaching support program contents analysis and teaching support platform of the teaching and learning center. To this end, in April 2020, a literature study was conducted, an analysis of the current status of teaching support at other universities and K universities, an analysis of professor interviews, and expert verification were conducted. The main research results are as follows. First, as a result of examining the current status of teaching support programs at 24 universities, it was confirmed that special lectures on teaching methods, class consulting, teaching method research meetings, and educational resource rooms were operated as representative programs. Second, the basic structure of the platform is composed of a lecture case sharing bulletin board to enable active exchange of opinions on teaching methods among teachers, a teaching support program application bulletin board to enable application for a teaching method program, and Edu-tech to activate the platform, and a professor support menu. Third, the contents of the teaching support platform were implemented based on the basic structure of the teaching support platform. This study analyzed the contents of the teaching support program and conducted a study to suggest the direction of the teaching support platform to discuss the direction of establishing an effective teaching support platform.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.1
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• pp.169-177
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• 2020

In South Korea, the results of R&D in science and technology are submitted to the National Science and Technology Information Service (NTIS) in reports that have Korea national science and technology standard classification codes (K-NSCC). However, considering there are more than 2000 sub-categories, it is non-trivial to choose correct classification codes without a clear understanding of the K-NSCC. In addition, there are few cases of automatic document classification research based on the K-NSCC, and there are no training data in the public domain. To the best of our knowledge, this study is the first attempt to build a highly performing K-NSCC classification system based on NTIS report meta-information from the last five years (2013-2017). To this end, about 210 mid-level categories were selected, and we conducted preprocessing considering the characteristics of research report metadata. More specifically, we propose a convolutional neural network (CNN) technique using only task names and keywords, which are the most influential fields. The proposed model is compared with several machine learning methods (e.g., the linear support vector classifier, CNN, gated recurrent unit, etc.) that show good performance in text classification, and that have a performance advantage of 1% to 7% based on a top-three F1 score.