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EBSmath를 활용한 거꾸로 수업이 수학 학습과 수학적 성향에 미치는 영향
오혜진 ( Oh¸ Hyejin ),박성선 ( Park¸ Sungsun ) 한국수학교육학회 2021 初等 數學敎育 Vol.24 No.4
The purpose of this study was to investigate the effects of flipped learning through EBSmath on Students’ ‘rate and ratio’ learning. By increasing demands for change in education, an innovative teaching and learning paradigm, ‘Flipped Learning’, has been presented and drawing attentions. In South Korea, Flipped Learning is also highly recognized for its effectiveness by many scholars and various media. However, this innovative learning model has limitations in application and expansion due to the excessive burden of class preparation of teachers. As remote learning becomes more active, it would be possible to overcome the limitations of Filliped learning by using the platform provided by the Korea Educational Broadcasting System (EBS). EBSmath is an online learning module that is designed to assist students’ self-directed learning. Thus, EBSmath would reduce teachers’ burden to prepare mathematics classes for the application of Flipped Learning; and led to students’ better understanding of mathematical concepts and problem solving. In this study, the effect of Flipped Learning through EBSmath on learning ‘rate and ratio’ was investigated. In order to scrutinize the effects of flipped learning, students’ achievement and mathematical disposition were examined and analyzed. Students’ achievement, specifically, was divided into two subcategories: concept understanding and problem solving. As a result, Flipped learning through EBSmath had a positive effect on students’ ‘rate and ratio’ problem solving. In addition, a statistically significant change was identified in the ‘willingness’, which is subdomain of students’ mathematical disposition.
Hyejin Kim,Juyoung Park,Handule Lee,Jinseon Son,Yeonjung Park,Heekyung Bae,Sun-Young Park,Sang Hee Lee,Jungkwan Seo,Sunkyung Shin,Kwangsik Park 환경독성보건학회 2023 환경독성보건학회지 Vol.38 No.4
Regulatory decisions for skin sensitization are now based on adverse outcome pathway (AOP) and integrated approaches to testing and assessment (IATA). Based on these, Organisation for Economic Co-operation and Development (OECD) guidelines on defined approaches for skin sensitization were adopted with a fixed data interpretation procedure (DIP). In the guidelines, “Defined Approaches” (DA) on skin sensitization uses the results from multiple information sources of in chemico, in vitro, and in silico data to achieve an equivalent predictive capacity as those of the animal tests. In this review, we evaluated the skin sensitization of eleven isothiazolinone compounds including 4,5-Dichloro-2-octyl-3(2H)-isothiazolone (DCOIT), 2-n-Octyl-4-isothiazolin-3-one (OIT), 2-Methyl-4-isothiazolin-3-one (MIT), 1,2-Benzisothiazolin-3-one (BIT), 1,2-Benzisothiazolin-3-one, 2-butyl (BBIT), 5-Chloro-2-methyl-4-isothiazolin-3-one (CMIT), 2-methyl-4,5-trimethylene-4-isothiazolin-3-one (MTMIT), 2-methyl-1,2-benzothiazol-3-one (MBIT), 2-methyl-1,2-benzothiazole-3-thione (MBIT-S), 1,2-benzisothiazolin-3-one, 2-methyl-, 1,1-dioxide (BBIT-O), and a mixture of CMIT/MIT. Data from direct peptide reactivity assay (DPRA), human cell line activation (h-CLAT) test, and quantitative structure activity relationship (QSAR) Toolbox were evaluated and were applied to the DIP to derive a prediction of hazard identification and a potency classification. Among the evaluated chemicals, six isothiazolinone compounds were classified to be UN GHS 1A, one compound to be UN GHS 1, and four compounds could not be classified due to lack of data. The results of sensitizer chemicals were found to coincide well with those of in vivo test.
The Pyramid of Injury: Estimation of the Scale of Adolescent Injuries According to Severity
Han, Hyejin,Park, Bomi,Park, Bohyun,Park, Namsoo,Park, Ju Ok,Ahn, Ki Ok,Tak, Yang Ju,Lee, Hye Ah,Park, Hyesook The Korean Society for Preventive Medicine 2018 Journal of Preventive Medicine and Public Health Vol.51 No.3
Objectives: Due to their developmental characteristics, adolescents have a higher probability than other age groups of experiencing injuries caused by accidents, violence, and intentional self-harm. The severity and characteristics of injuries vary by the intentionality and mechanism of injury; therefore, there is a need for a national-level estimate of the scale and the severity of injuries in adolescents that takes these factors into account. Methods: By using data from the Emergency Department-based Injury In-depth Surveillance Data, National Emergency Department Information System, the Korean National Hospital Discharge In-depth Injury Survey, and cause of death statistics, we calculated the emergency department (ED) visit rate, hospitalization rate, and death rate of injuries per 100 000 adolescents for each injury mechanism. The calculated rates were used to generate the injury pyramid ratio (ratio of death rate to hospitalization rate to ED visit rate) to visualize the scale and the severity of the injury. Results: The mortality rate in adolescents due to injury was 10/100 000; the corresponding rates for hospitalization and ED visits were 1623 and 4923, respectively, resulting in an injury pyramid ratio with the general pyramid form, with a 1:162:492 ratio of deaths to hospitalizations to ED visits. The mortality rate due to suicide/intentional self-harm was 5/100 000, while 35 were hospitalized for this reason and 74 made ED visits. The pyramid ratio of 1:7:15 for intentional self-harm/suicide showed a steep pyramidal form, indicating considerable lethality. The mortality rate due to motor vehicle collisions (MVCs) was 3/100 000; 586 were hospitalized for this reason, while 1023 made ED visits. The pyramid ratio of 1:195:341 for MVCs showed a gradual pyramid form, indicating that the lethality was low and the scale of injury was high. Conclusions: The main categories of injuries in adolescents were visualized in pyramid form, contributing to an understanding of the scale of each injury by mechanism in terms of levels of death, hospitalization, and ED visits. These findings will be helpful for understanding how to prioritize injuries in adolescents.
SnO<sub>2</sub>/Graphene Oxide Composites on VOC Gas Sensing Properties
Park, Hyejin,Chung, Yoonsung,Lee, Seokhee,Lee, Eunji,Ahn, Hosang,Kim, Sun-Hee,Kim, Dong-Joo The Electrochemical Society 2017 Journal of the Electrochemical Society Vol.164 No.13
<P>SnO2 decorated graphene oxide (GO) composites were fabricated via electrophoretic deposition (EPD). The ratio of GO to SnO2 in the composites was controlled from 1:0 to 1:6. The catalytic effect of added SnO2 was explored on gas sensing behaviors of the intercalated or sandwich composite structure. Room temperature gas sensing was performed with the SnO2/GO composite sensors resulting from its high specific surface and interactions between SnO2 and GO. Moreover, the transition behavior between n-type and p-type gas sensing was observed when heat-treatment of the GO sensors was conducted. Gas selectivity of the sensors was investigated using three types of VOC gases (formaldehyde, toluene, and styrene). These composite sensors can be effectively employed for multiple gas detection. (c) 2017 The Electrochemical Society. All rights reserved.</P>
Prediction of human cytochrome P450 inhibition using bio-selectivity induced deep neural network
Hyejin Park,Rahul Brahma,Jae-Min Shin,조광휘 대한화학회 2022 Bulletin of the Korean Chemical Society Vol.43 No.2
Since the successful debut of AlphaGo, deep learning (DL) techniques have been applied to almost all areas of data sciences and are achieving remarkable milestones. For example, in predicting cytochrome P450 (CYP450) inhibition, DL and other machine learning techniques applied were proven significantly useful. However, currently, most models are focused on how much they can improve compared to previously published methods by using different methodologies and larger data sets without considering bio-selectivity. This study provides a multitask classification model for five important isoforms of CYP450. Our model uses the most extensive data set of over 150?000 molecules ever used. To consider the stereoisomerism of bio-selectivity, new descriptors have been developed. We illustrated the discriminating power of the new descriptors with some examples that demonstrated the improvement in the model's performance using three-dimensional descriptors, which account for the stereoselectivity of drug?protein/enzymes that two-dimensional models cannot achieve.
Park, Hyejin,Kim, Kyeung Kyu,Kim, ChangHoon,Shin, Jae-Min,No, Kyoung Tai Korean Chemical Society 2013 Bulletin of the Korean Chemical Society Vol.34 No.9
Protein kinases (PKs) are an important source of drug targets, especially in oncology. With 500 or more kinases in the human genome and only few kinase inhibitors approved, kinase inhibitor discovery is becoming more and more valuable. Because the discovery of kinase inhibitors with an increased selectivity is an important therapeutic concept, many researchers have been trying to address this issue with various methodologies. Although many attempts to predict the activity and selectivity of kinase inhibitors have been made, the issue of selectivity has not yet been resolved. Here, we studied kinase selectivity by generating predictive models and analyzing their descriptors by using kinase-profiling data. The 5-fold cross-validation accuracies for the 51 models were between 72.4% and 93.7% and the ROC values for all the 51 models were over 0.7. The phylogenetic tree based on the descriptor distance is quite different from that generated on the basis of sequence alignment.