Data imbalance refers to a phenomenon in which the number of data in one category is too large or too small compared to another category. Due to this, it has been raised as a major factor that deteriorates performance in machine learning that utilizes classification algorithms. In order to solve the data imbalance problem, various ovrsampling methods for amplifying prime number distribution data have been proposed. Among them, SMOTE is the most representative method. In order to maximize the amplification effect of minority distribution data, various methods have emerged that remove noise included in data (SMOTE-IPF) or enhance only border lines (Borderline SMOTE). This paper proposes a method to ultimately improve classification performance by improving the processing method for anomaly data in the traditional SMOTE method that amplifies minority classification data. The proposed method consistently presented relatively high classification performance compared to the existing methods through experiments.
This study was to research the effective use of green rooftop space, facilities and gardening, targeting members from community rehabilitation centers with disabilities. The three community rehabilitation centers studied were, Namyangju Center located in a rural area, Seoul Center located in a urban area and Siheung Center located in both a rural and urban area. We analyzed the difference in preference on the basis of each local community area. In fact, it indicated that 50% of each center knew about the green rooftop at their facilities and its use as a place for taking walks and conversation. It also showed that there was the high preference for priority objects such as a bench, pergola and trash can. Also the preference for natural visualizations like herbal or ornamental plants. The study showed a high preference to a small vegetable plot, hands on gardening and ecological wetland. It also indicated that there was a high preference for experience in nature programs on the rooftops (28.9 %) versus the rate of horticultural programs (27%). Therefore, it proves that the composition of a green rooftop at a community rehabilitation center should be differentiated so that the green rooftop can be a place not only for resting, but also great for a natural learning experience and gardening therapy for people with disabilities.
Objectives : Alzheimer's disease (AD) is characterized by neuronal loss and extracellular senile plaque. Moreover, the cellular actions of ${\beta}$-amyloid (A${\beta}$ play a causative role in the pathogenesis of AD. This study was designed to determine whether Woo-Gui-Um, a commonly used Korean herbal medicine, has the ability to protect cortical and hippocampal neurons against A${\beta}_{25-35}$ neurotoxicity Methods : In the present study, the authors investigated the preventative effects of the water extract of Woo-Gui-Um in a mouse model of AD. Memory impairment was induced by intraventricularly (i.c.v.) injecting A${\beta}_{25-35}$ peptides into mice. Woo-Gui-Um extract was then administered orally (p.o.) for 14 days. In addition, A${\beta}_{25-35}$ toxicity on the hippocampus was assessed immunohistochemically, by staining for Tau, MAP2, TUNEL, and Bax, and by performing an in vitro study in PC12 cells. Results : Woo-Gui-Um extract had an effect to improve learning ability and memory score in the water maze task. Woo-Gui-Um extract had significant neuroprotective effects in vivo against oxidative damage and apoptotic cell death of hippocampal neurons caused by i.c.v. A${\beta}_{25-35}$. In addition, Woo-Gui-Um extract was found to have a protective effect on A${\beta}_{25-35}$-induced apoptosis, and to promote neurite outgrowth of nerve growth factor (NGF)-differentiated PC12 cells. Conclusions : These results suggest that Woo-Gui-Um extract reduces memory impairment and Alzheimer's dementia via an anti-apoptotic effect and by regulating Tau and MAP2 in the hippocampus.
Journal of the Korea Academia-Industrial cooperation Society
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v.18
no.8
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pp.115-123
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2017
This study examined traditional dance programs in cultural and arts education in local children's centers. We aimed to contribute to the voluntary and active participation of children in cultural and arts education through differentiated cultural and arts educational programs. Interviews were conducted from March 2016- June, 2016 at A Regional Children's Center in Chungnam. Once a week, a 50-minute were held 16 Session as "learning traditional joyful dance". After completing the program, 25 children who participated in the program were asked about the good points and disappointments regarding the program. The interviews used open, structured questions that have been primarily used in phenomenological research. The list of questions was prepared in advance according to the research purpose. The results of the study are as follows: The evaluation of the first program was generally positive. By experiencing activities through cultural and arts education through traditional dance programs for children, children learned to be polite. It also changed positively in conversation. Children who showed negative attitudes toward traditional dance programs gradually participated in activities. Second, I examined the evaluation of lecturers who teach traditional dance. The children's response to the program was positive, with sincere and responsible lecture preparation and progress. The instructor prepared the class in advance, welcomed the children and ran the class in good faith. Instructors who taught traditional dances were proficient in dance, majored in dance and teaching children. The learning effect was high by the instruction of the good dance movement. Rich in lecture experience, he is proficient in dealing with children in class. Material was delivered according to the child's dance level.
Kim, Youngmin;Kang, Nam-Hwa;Kang, Hunsik;Maeng, Seungho;Lee, Jun-Ki
Journal of The Korean Association For Science Education
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v.36
no.6
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pp.815-833
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2016
This study investigated children's (grade 3 to 9) responses to assessment items on energy as a cross-cutting concept in order to get basic information for a learning progression. The assessment consisted of 8 ordered multiple-choice items at the contexts of electric circuit, mechanical energy of falling objects, phase change of matter, dissolution, biological phenomena of a lizard, food chain, radiative equilibrium between Sun and Earth, and the system of water cycling. Children's responses to each item were analyzed with using cross-tabulations in terms of grades and item option levels and Wright map and Differential item functioning based on Rasch modeled item response analysis. The results offered empirical evidence of children's development of understanding energy from relation between energy and its phenomena, types of energy, transfer and conversion of energy, towards conservation and equilibrium of energy for all of eight contexts. Children of each grade did not fully understand energy conservation. As grade goes up, their understandings of energy transfer and conversion were differentiated across the contexts and topics of energy. According to Rasch analysis, children had easier understanding of energy on dissolution and poorer understanding of energy on water cycling than that on other contexts. It was discussed and suggested that the results of this study help us organize science topics with regard to energy when developing new national science curriculum.
Journal of the Korean Society of Marine Environment & Safety
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v.24
no.5
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pp.576-582
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2018
At present, universities in Korea are trying to raise the competency of university students by preparing them with abilities and attitudes required in society, and many universities are carrying out "core competency based education." Therefore, there is a need to evaluate the core competencies of students and verify educational performance. M University, which trains students in specialized marine topics, also conducts core competency based education, reflecting the specificity of the university. The purpose of this study was to develop and validate a tool to measure the core competencies of M University students. First, preliminary questions were developed based on a literature review. Second, item analysis and exploratory factor analysis were conducted. As a result, six factors were identified. Finally, a total of 50 items were extracted from the final test, and validity was confirmed. The scale developed on the basis of this study can not only diagnose the core competency of students overall but also connect programs by diagnosing individual core competencies. It will be possible to use these results as basic data for honing the differentiated talents of universities specialized in maritime and ocean-related topics.
Asia-Pacific Journal of Business Venturing and Entrepreneurship
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v.18
no.2
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pp.141-156
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2023
The advancement of Information and Communication Technology (ICT), along with the expansion of government and private investment in startup discovery and funding, has led to the emergence of startups seeking to generate outstanding results based on innovative ideas. As successful startups serve as role models, the number of aspiring entrepreneurs preparing to launch their own startups continues to increase. However, unlike entrepreneurs who challenge themselves with serial entrepreneurship after experiencing success, early-stage startups face various challenges such as team building, technology development, and fundraising. Accelerators play a dual role of mentor and investor by providing education, mentoring, consulting, network connection, and initial investment activities to help startups overcome various challenges they face and facilitate their growth. This study investigated whether there is a correlation between the characteristics of startups and their entrepreneurial performance, and analyzed whether accelerators mediate the relationship between startup characteristics and entrepreneurial performance. A total of 11 hypotheses were proposed, and a survey was conducted on 302 startup founders and employees located across the country, including the metropolitan area, for empirical research. SPSS 23.0 and Amos 23.0 were used for statistical analysis. Through this study, it was found that factors such as innovation, organizational culture, financial characteristics, and learning orientation among the characteristics of startups, rather than having a direct impact on entrepreneurial performance, are linked to entrepreneurial performance through the role of accelerators. By analyzing the impact factors of startup characteristics on entrepreneurial performance, this study presents research on the role of accelerators and provides institutional improvements. It is expected to contribute to the expansion of investment and differentiated acceleration programs, enabling startups to seize the market and grow stably in the market.
In the East Asian Confucianism society, Hakmun was aimed to bring human beings and nature into harmony, and to explore a unity between knowledge and conducts. For example, Neo-Confucianism aspired they could explain the human existence and society through a single concept of Iki(理氣, the basic principles and the atmospheric force of nature). In this philosophy, humanics and natural sciences had not been differentiated at all. The East-West cultural interchanges at the beginning of modernity caused a crack in the traditional academic concepts. Through the Hundred Days of Reform(變法自疆運動, a movement of Strenuous Efforts through Reforming the Law), the Western Affairs Movement(洋務運動) in China, Meiji Restoration(明治維新) in Japan, or Innovation Movements(開化運動) and the Patriotic Enlightenment Movement(愛國啓蒙運動) in Korea, the traditional meanings of Hakmun was degraded while it became a target of the criticism of the enlightenment movements. Accordingly, East Asians' perception of Hakmun rapidly began to change. Although there had been the Silhak(實學, practical science) movement in Korea, which tried to differentiate its conceptualization of Hakmun from that of Neo-Confucianism during the 18th and 19th century, the fundamental shift in meaning occurred with the influx of the modern Western culture. This change converted the ultimate objective of Hakmun as well as its methods and substances. The separation of humanics and natural sciences, rise in dignity of the technological sciences, and subdivision of learning into disciplines and their specialization were accelerated during the Korean enlightenment period. The inflow of the modern western science, humanized thought, and empiricism functioned as mediators in these phase and they caused an irreversible crack in the traditional academic thoughts. Confronting the western mode of knowledge, however, the East Asian intellectuals had to explain their new learning by using traditional terms and concepts; modification was unavoidable when they tried to explain the newly imported knowledge and concepts. This presentation focuses on the traditional concepts of 'gyeogchi'(格致, extending knowledge by investigating things) and 'gungni'(窮理, investigation of principles), pervasively used in philosophy, physics and many other fields of study. These concepts will mark the key point with which to trace changes of knowledge and to understand the way how the concept of Hakmun was converted into a modern one.
This study acquires NBA statistical information for a total of 32 years from 1990 to 2022 using web crawling, observes variables of interest through exploratory data analysis, and generates related derived variables. Unused variables were removed through a purification process on the input data, and correlation analysis, t-test, and ANOVA were performed on the remaining variables. For the variable of interest, the difference in the mean between the groups that advanced to the playoffs and did not advance to the playoffs was tested, and then to compensate for this, the average difference between the three groups (higher/middle/lower) based on ranking was reconfirmed. Of the input data, only this year's season data was used as a test set, and 5-fold cross-validation was performed by dividing the training set and the validation set for model training. The overfitting problem was solved by comparing the cross-validation result and the final analysis result using the test set to confirm that there was no difference in the performance matrix. Because the quality level of the raw data is high and the statistical assumptions are satisfied, most of the models showed good results despite the small data set. This study not only predicts NBA game results or classifies whether or not to advance to the playoffs using machine learning, but also examines whether the variables of interest are included in the major variables with high importance by understanding the importance of input attribute. Through the visualization of SHAP value, it was possible to overcome the limitation that could not be interpreted only with the result of feature importance, and to compensate for the lack of consistency in the importance calculation in the process of entering/removing variables. It was found that a number of variables related to three points and errors classified as subjects of interest in this study were included in the major variables affecting advancing to the playoffs in the NBA. Although this study is similar in that it includes topics such as match results, playoffs, and championship predictions, which have been dealt with in the existing sports data analysis field, and comparatively analyzed several machine learning models for analysis, there is a difference in that the interest features are set in advance and statistically verified, so that it is compared with the machine learning analysis result. Also, it was differentiated from existing studies by presenting explanatory visualization results using SHAP, one of the XAI models.
Journal of The Korean Association For Science Education
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v.36
no.1
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pp.103-112
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2016
The purpose of this study is to investigate secondary science teacher's concepts of good science teaching. To do these, I have developed a questionnaire composed of 32 good teachings on education content, instructional method, instructional environment and atmosphere and assessment categories. 136 secondary science teachers have participated in the questionnaire and were requested to show agreement. Additionally, they were requested to describe the best science teachings that they have experienced. Results are as follows: First, the best science teaching that science teachers thought is a teaching that is in full accord with students' level in education content category, a teaching with an energetic interaction in instructional method category, a teaching in a trustful atmosphere in instructional environment and atmosphere category, a teaching in which students could learn something through a teaching-related assessment in assessment category. Second, secondary science teachers thought that a self-directed learning, a differentiated instruction and a teaching with diverse materials are not important factors in good science teaching. Third, there is a difference between good teaching that secondary science teachers have conceived and good teaching that they have experienced. It shows that science teachers did not precisely understand what good science teaching is. Additionally, I discussed the need of finding a case on good science teachings and a support of an interaction-focused teaching.
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