• Title/Summary/Keyword: measurement ability

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The Development of Wholeness Program for Effects Dementia-Buffering Testing of the Demented Elderly (노인의 치매행동 관련 홀니스 프로그램 개발과 완충효과 검증)

  • Hong, Hye-Jeon
    • 한국체육학회지인문사회과학편
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    • v.57 no.1
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    • pp.405-419
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    • 2018
  • This study of the Wholeness Program relevant to dementia behavior and verification of buffering effects. For the purpose of this, among those who were attending Day Care Centers belonging to Seniors Welfare Center of M1 and M2 located in Seoul. Among those who met all these requirements, 40 senior citizens were finally selected. After carrying out a preliminary test to the selected subjects, 20 elderly of Seniors Welfare Center of M1 were randomly placed as an experimental group, while other 20 people of Seniors Welfare Center of M2, as a control group. The Wholeness Program relevant to dementia behavior was carried out from March 14 to May 30 of 2016, for 12 weeks, twice a week. As for the measurement tool, this study depended on the Korean version of Mini Mental State Examination (MMSE-K), the Korean version of Modified Barthel Index (K-MBI) and the Korean version of Geriatric Depression Scale (GDS-K). While the elderly were participating in the Wholeness Program relevant to dementia behavior, they were measured two times in total, before and after the participation in dementia behavior. Based on SPSS-PC (version 21.0), firstly, independent t-test was carried out to understand the homogeneity between the experimental group and the control group. Secondly, matched-pair t-test was carried out between preliminary test and post-test to inquire into the effects of MMSE-K, K-MBI and GDS-K. Thirdly, ANOVA was conducted to confirm the variation (change amount) between preliminary test and post-test. According to the survey results, the Wholeness Program relevant to dementia behavior of the elderly shows overall effects in all spheres of changes of cognitive ability (MMSE-K), changes of physical capacity (K-MBI) and changes of depression level (GDS-K).

Investigating the Influence of ESG Information on Funding Success in Online Crowdfunding Platform by Using Text Mining Technique and Logistic Regression

  • Kyu Sung Kim;Min Gyeong Kim;Francis Joseph Costello;Kun Chang Lee
    • Journal of the Korea Society of Computer and Information
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    • v.28 no.7
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    • pp.155-164
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    • 2023
  • In this paper, we examine the influence of Environmental, Social, and Governance (ESG)-related content on the success of online crowdfunding proposals. Along with the increasing significance of ESG standards in business, investment proposals incorporating ESG concepts are now commonplace. Due to the ESG trend, conventional wisdom holds that the majority of proposals with ESG concepts will have a higher rate of success. We investigate by analyzing over 9000 online business presentations found in a Kickstarter dataset to determine which characteristics of these proposals led to increased investment. We first utilized lexicon-based measurement and Feature Engineering to determine the relationship between environment and society scores and financial indicators. Next, Logistic Regression is utilized to determine the effect of including environmental and social terms in a project's description on its ability to obtain funding. Contrary to popular belief, our research found that microentrepreneurs were less likely to succeed with proposals that focused on ESG issues. Our research will generate new opportunities for research in the disciplines of information science and crowdfunding by shedding new light on the environment of online micro-entrepreneurship.

Photosynthesis Monitoring of Rice using SPAR System to Respond to Climate Change

  • Hyeonsoo Jang;Wan-Gyu Sang;Yun-Ho Lee;Hui-woo Lee;Pyeong Shin;Dae-Uk Kim;Jin-Hui Ryu;Jong-Tag Youn
    • Proceedings of the Korean Society of Crop Science Conference
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    • 2022.10a
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    • pp.169-169
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    • 2022
  • Over the past 100 years, the global average temperature has risen by 0.75 ℃. The Korean Peninsula has risen by 1.8 ℃, more than twice the global average. According to the RCP 8.5 scenario, the CO2 concentration in 2100 will be 940 ppm, about twice as high as current. The National Institute of Crop Science(NICS) is using the SPAR (Soil-Plant Atmosphere Research) facility that can precisely control the environment, such as temperature, humidity, and CO2. A Python-based colony photosynthesis algorithm has been developed, and the carbon and nitrogen absorption rate of rice is evaluated by setting climate change conditions. In this experiment, Oryza Sativa cv. Shindongjin were planted at the SPAR facility on June 10 and cultivated according to the standard cultivation method. The temperature and CO2 settings are high temperature and high CO2 (current temperature+4.7℃ temperature+4.7℃·CO2 800ppm), high temperature single condition (current temperature+4.7℃·CO2 400ppm) according to the RCP8.5 scenario, Current climate is set as (current temperature·CO2400ppm). For colony photosynthesis measurement, a LI-820 CO2 sensor was installed in each chamber for setting the CO2 concentration and for measuring photosynthesis, respectively. The colony photosynthetic rate in the booting stage was greatest in a high temperature and CO2 environment, and the higher the nitrogen fertilization level, the higher the colony photosynthetic rate tends to be. The amount of photosynthesis tended to decrease under high temperature. In the high temperature and high CO2 environment, seed yields, the number of an ear, and 1000 seed weights tended to decrease compared to the current climate. The number of an ear also decreased under the high temperature. But yield tended to increase a little bit under the high temperature and high CO2 condition than under the high temperature. In addition, In addition to this study, it seems necessary to comprehensively consider the relationship between colony photosynthetic ability, metabolite reaction, and rice yield according to climate change.

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Study on Improving Maritime English Proficiency Through the Use of a Maritime English Platform (해사영어 플랫폼을 활용한 표준해사영어 실력 향상에 관한 연구)

  • Jin Ki Seor;Young-soo Park;Dongsu Shin;Dae Won Kim
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.29 no.7
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    • pp.930-938
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    • 2023
  • Maritime English is a specialized language system designed for ship operations, maritime safety, and external and internal communication onboard. According to the International Maritime Organization's (IMO) International Convention on Standards of Training, Certification and Watchkeeping for Seafarers (STCW), it is imperative that navigational officers engaged in international voyages have a thorough understanding of Maritime English including the use of Standard Marine Communication Phrases (SMCP). This study measured students' proficiency in Maritime English using a learning and testing platform that includes voice recognition, translation, and word entry tasks to evaluate the resulting improvement in Maritime English exam scores. Furthermore, the study aimed to investigate the level of platform use needed for cadets to qualify as junior navigators. The experiment began by examining the correlation between students' overall English skills and their proficiency in SMCP through an initial test, followed by the evaluation of improvements in their scores and changes in exam duration during the mid-term and final exams. The initial test revealed a significant dif erence in Maritime English test scores among groups based on individual factors, such as TOEIC scores and self-assessment of English ability, and both the mid-term and final tests confirmed substantial score improvements for the group using the platform. This study confirmed the efficacy of a learning platform that could be extensively applied in maritime education and potentially expanded beyond the scope of Maritime English education in the future.

The Effect of Road Networks on Urban Resilience in Flooding (도시침수 시 도로네트워크가 도시회복도에 미치는 영향 분석)

  • Hyung Jun Park;Dong Hyun Kim;Hyun Jung Lee;Seung Oh Lee
    • Journal of Korean Society of Disaster and Security
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    • v.16 no.2
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    • pp.85-98
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    • 2023
  • Flood is one of the most frequent natural disasters worldwide. In Korea, the probability of urban flooding is greatly increasing due to complex factors such as global warming, an increase in impervious areas, and limitations in expanding water supply facilities in existing urban areas. However, large-scale civil engineering works to prevent urban inundation are socially and economically difficult to obtain national consent. Recently the importance of resilience, which is the ability to return to the original state after a disaster through rapid recovery while preparing for natural disasters to a level that the local community can afford socially and economically, is increasing. Accordingly, various studies on urban resilience have been conducted, but the resilience measurement method related to the lifeline that provides essential services of the city is insufficient. However, among lifelines, road networks are important facilities for the transportation of recovery resources and rapid recovery in the event of a natural disaster, so road networks are a major factor that must be considered when measuring the degree of recovery of a city in the field of natural disasters. Therefore, this study proposes a recovery evaluation method considering the characteristics of resilience and road networks in the urban flooding field and analyzes the effect of road networks on urban resilience.

Application of Multiple Linear Regression Analysis and Tree-Based Machine Learning Techniques for Cutter Life Index(CLI) Prediction (커터수명지수 예측을 위한 다중선형회귀분석과 트리 기반 머신러닝 기법 적용)

  • Ju-Pyo Hong;Tae Young Ko
    • Tunnel and Underground Space
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    • v.33 no.6
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    • pp.594-609
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    • 2023
  • TBM (Tunnel Boring Machine) method is gaining popularity in urban and underwater tunneling projects due to its ability to ensure excavation face stability and minimize environmental impact. Among the prominent models for predicting disc cutter life, the NTNU model uses the Cutter Life Index(CLI) as a key parameter, but the complexity of testing procedures and rarity of equipment make measurement challenging. In this study, CLI was predicted using multiple linear regression analysis and tree-based machine learning techniques, utilizing rock properties. Through literature review, a database including rock uniaxial compressive strength, Brazilian tensile strength, equivalent quartz content, and Cerchar abrasivity index was built, and derived variables were added. The multiple linear regression analysis selected input variables based on statistical significance and multicollinearity, while the machine learning prediction model chose variables based on their importance. Dividing the data into 80% for training and 20% for testing, a comparative analysis of the predictive performance was conducted, and XGBoost was identified as the optimal model. The validity of the multiple linear regression and XGBoost models derived in this study was confirmed by comparing their predictive performance with prior research.

Conductive Performance of Mortar Containing Fe-Activated Biochar (Fe에 의해 활성화된 목질계 바이오차를 혼입한 모르타르의 전도성능)

  • Jin-Seok Woo;Ai-Hua Jin;Won-Chang Choi;Soo-Yeon Seo;Hyun-Do Yun
    • Journal of the Korea institute for structural maintenance and inspection
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    • v.28 no.2
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    • pp.27-34
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    • 2024
  • This study was conducted to examine the feasibility of using Fe-activated wood-derived biochar as a conductive filler for manufacturing cement-based strain sensor. To evaluate the compressive and electrical properties of cement composite with 3% Fe-activated biochar, three cubic specimens of size 50 x 50 x 50mm3 and three prismatic cement-based sensors of size 40 x 40 x 80mm3 were prepared respectively. The four-probe method of electrical resistance measurement was used for cement-based sensors. For cement-based sensors with FE-activated biochar, the conductive performance such as electrical resistance and impedance under different water content and repeated compression was investigated. Results showed that the fractional changes in the DC electrical resistivity of cement-based sensors increase with increasing time and the maximum fractional changes in the resistivity decrease with increasing the moisture contents during 900s. At moisture content of 7.5% range, the conductive performance of cement composite including 3% Fe-activated biochar as a conductive filler showed the most stable, while the strain detection ability tended to decrease somewhat as the repeated compressive stress increased between repeated compressive strain and fractional change in resistivity (FCR).

Concerns of Science Teachers Science-Gifted Education Centers of the Seoul Metropolitan Office of Education (과학영재교육원 운영에 대한 서울시과학영재교육원 교사들의 고려사항)

  • Kim, Deuk-Ho;Kang, Kyung-Hee;Park, Hyun-Ju
    • Journal of The Korean Association For Science Education
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    • v.29 no.1
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    • pp.90-105
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    • 2009
  • This study analyzed current programs practiced by science-gifted education centers. This study was based on concerns of 18 science teachers on six science-gifted education centers of the Seoul Metropolitan Office of Education that had local representatives. For this study, we collected data using journals, documents, reports, survey reviews and interviews with science teachers. Science teachers were concerned about the selection and identification of gifted students, education periods, curriculum, and student evaluation. More authentic measurement for students' potential ability were needed for the identification and selection process. If the purpose of science-gifted centers was to be met, the number of students selected should be determined by local differences rather than regional equality. The curriculum and educational period could make good use of time allotted for vacation to increase lesson periods. Lessons based on strategies like contests for improving the students' creativity, free inquiry and communication skills had to be encouraged. A consistent system for science-gifted education from primary school to high school was needed.

Analysis of the Scientific Inquiry Problem Generated by the Scientifically-Gifted in Ill and Well Inquiry Situation (구조화 정도가 다른 탐구 상황에서 과학영재들이 생성한 과학탐구문제 비교 분석)

  • Ryu, Si-Gyeong;Park, Jong-Seok
    • Journal of The Korean Association For Science Education
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    • v.28 no.8
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    • pp.860-869
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    • 2008
  • The purpose of this study is to suggest an instructional direction for improving scientific inquiry problem-finding ability of the scientifically-gifted. For this purpose, this study has made an in-depth analysis of the scientific inquiry problems generated by the scientifically-gifted in Problem-Finding Activity in Ill-structured Inquiry Situation (PFAIIS) and Problem-Finding Activity in Well-structured Inquiry Situation (PFAWIS). The results of this study turned out to be as follows: First, most of the problems generated in PFAIIS and PFAWIS could be categorized into seven types (measurement, method, cause, possibility, what, comparison, relationship) according to the inquiry objectives, while the frequency of each type shown in each inquiry objective was a little different. Second, the frequency of scientific concepts stated in inquiry problem was more in PFAWIS than in PFAIIS. But the scientific concepts were shown more diversely in PFAIIS than in PFAWIS. Therefore, results of this study have the following educational implications. First, it is necessary to offer various opportunities of problem-finding activity under ill-structured scientific Inquiry situation. Second, it is needed to emphasize that a new inquiry problem can be found out even during general scientific experiment and frequently to discuss inquiry problems generated during an experiment. Third, it is needed to encourage the scientifically-gifted to generate a scientific inquiry problem based on at least more than seven types.

Reactive and Proactive Aggression, the Validation of the Reactive-Proactive Questionnaire (RPQ): Focusing on ESEM and Rasch (반응적 공격성과 주도적 공격성, Reactive-Proactive Questionnaire(RPQ) 타당화 연구: ESEM과 Rasch를 중심으로)

  • Seonyoung Park;Jonghan Sea
    • Korean Journal of Culture and Social Issue
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    • v.30 no.2
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    • pp.159-192
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    • 2024
  • The purpose of this study is to validate the Reactive-Proactive Aggression Questionnaire (RPQ), a tool for measuring reactive-proactive aggression, in the context of South Korea. A thorough translation was conducted in collaboration with the original author. An exploratory factor analysis (EFA), exploratory structural equation modeling (ESEM), rating scale model (Rasch), differential item functioning (DIF), and convergent validity were performed on a sample of 510 South Korean individuals. The results revealed a two-factor structure of reactive and proactive aggression after removing one item showing dual loading. Rating scale analysis based on the Rasch model indicated the appropriateness of the 3-point Likert scale, with all items meeting fit criteria. Although the separation index and separation reliability of proactive aggression was marginally lower, the overall discrimination between participants and items was satisfactory. Examination of participant-item distribution indicated a suitable alignment between reactive aggression and participant ability levels, whereas proactive aggression exhibited slightly elevated item difficulty. Furthermore, three items were found to function differently based on gender. A moderate but statistically significant positive correlation was found between the Barratt Impulsiveness Scale-11-R (Korean version) and RPQ from the results of the convergent validity evaluation. Overall, this study employed rigorous statistical methods to validate the suitability of the RPQ for use in Korea, taking cultural nuances into account, and introduced the concepts of reactive and proactive aggression to the Korean general population.