A Study on Improvement Plan for Public Library Makerspace Operation

Subin Yoon,Seongsin Lee 한국콘텐츠학회 2022 한국콘텐츠학회 ICCC 논문집 Vol.2022 No.12

Complete genome sequence of Photobacterium damselae subsp. damselae KC-Na-NB1, a potential histamine producer isolated from finless porpoise (Neophocaena asiaeorientalis)

Subin Yoon,Yuna Cho,Kyunglee Lee,Se Ra Lim,Seon Young Park,Hyemin Kwon,Ye Seul Lee,Jee Eun Han,김지형 한국미생물학회 2020 미생물학회지 Vol.56 No.4

Photobacterium damselae subsp. damselae (Pdd) is an important pathogen in various marine organisms and is a strong histamine producer that causes histamine fish poisoning in humans. We sequenced the genome of Pdd strain KC-Na-NB1, isolated from a narrow-ridged finless porpoise (Neophocaena asiaeorientalis). The genome of the KC-Na-NB1 strain was 4,522,546-bp long (G + C content = 40.1%), comprising two chromosomes and five plasmids. Within this genome, we found virulence-associated genes and gene clusters associated with histamine production (i.e., histidine/histamine antiporter, pyridoxal phosphate-dependent histidine decarboxylase, and histidyl-tRNA synthetase), suggesting a strong potential to cause zoonotic infections and histamine fish poisoning. This work furthers our understanding of risk factors for histamine fish poisoning caused by Pdd and provides insights into microbial diversity in cetaceans.

다중지능이론에 의거한 음악과교육과정 분석 및 음악교과교육의 방향성 연구

윤수빈 ( Subin Yoon ) 건국대학교 교육연구소 2014 교사와 교육(구 교육논집) Vol.32 No.-

본 연구는 가드너의 다중지능이론과 음악교과의 공감각적 특수성을 연계하여 고찰하고, 이를 바탕으로 교육과정의 ‘교수·학습 방법’의 분석을 통해 음악교과교육의 방향성을 연구하는 데 목적이 있다. 이를 위해 음악교과의 공감각적 특수성에 관한 문헌조사를 하였고, 이를 기반으로 가드너의 다중지능이론의 8가지 지능과 연계되는 배움의 항목을 교사와 학생이 교수·학습 과정에서 경험하는 공감각적 인지에 초점을 두어 도출해내었다. 이것을 기준으로 우리나라 7차, 2007년, 그리고 2009 개정 음악과교육과정의 ‘교수·학습 방법’의 내용을 문장 단위로 분석하였다. 연구의 결과는 첫째, 음악교과의 공감각적 특수성과 가드너의 다중지능이론의 연계는 음악학습의 과정에서 기대되는 ‘함양할 수 있는 배움의 항목’을 다양하게 도출시킬 수 있다는 것을 확인했다. 둘째, 이들 항목에 근거해 7차 교육과정을 비롯해 2007년 및 2009 개정 음악과 교육과정의 ‘교수·학습 방법’을 분석한 결과, 음악교과교육과정에서 기대되는 내재적 배움의 항목들을 잠재적으로는 포함하고 있으나, 구체적으로 언급하여 제시하고 있지 못하다는 것을 발견할 수 있었다. This study examines the categories of learning which can be acquired from music education through the correlation between Gardner`s Multi-Intelligence Theory and music education. Based on the data, it analyzes the ‘teaching-learning methods’ of the education curriculum and suggests directions for music education. The purpose of this study is to provide a new stance for music education within public education by deriving the learning categories which are inherent in the music education and to provide new directions of music education that reflects the historic and social changes. The findings of the study are as follows: First, a variety of learning categories which students can acquire was discovered through the correlation between the synesthetic specificity and Gardner`s Multi-Intelligence Theory. The development of emotions, the recognition of pluralistic values of culture, the respect for others, and subjective standards for creative personal development were found in the study. Second, the result of an analysis in the study of the teaching-learning methods` for the 7th and 2007, Revised National Music Curriculum 2009 was drawn through the correlation between the specificity of music lesson and Gardner`s Multi-Intelligence Theory. It is proved that the result includes the lists of the immanent learning expected in music education not specifically but potentially.

Enzymatic Synthesis of L-Theanine Using γ-Glutamylmethylamide Synthetase with Less ATP Consumption by ATP Regeneration System

Subin YUN,Taresh KHOBRAGADE,Sunga IM,Sangwoo JOO,Hyunsuk YOON,Younghwan GOH,Youkyoung KWON,Seohee JUNG,Sunga CHO,Pritam GIRI,Hyungdon YUN 한국생물공학회 2023 한국생물공학회 학술대회 Vol.2023 No.10

Reliability and Validity of the Korean Translation of Quantitative Checklist for Autism in Toddlers

Subin Park,Eun-Kyung Won,Ji Hyun Lee,Soyoung Yoon,Eun Jin Park,Yeni Kim 대한소아청소년정신의학회 2018 소아청소년정신의학 Vol.29 No.2

Objectives: We aimed to assess the test-retest reliability, internal consistency, and validity of the Korean version of the Quantitative Checklist for Autism in Toddlers (Q-CHAT). Methods: The Korean version of the Q-CHAT and the Korean version of the Child Behavior Checklist (CBCL) 1.5-5 were completed by parents of 24 toddlers and preschoolers with autism spectrum disorder (ASD) and 80 unselected toddlers and preschoolers. Parents of the ASD group also completed the Social Communication Questionnaire (SCQ), and Childhood Autism Rating Scale (CARS) scores were obtained from medical records. Results: The ASD group scored higher on the Q-CHAT than the unselected group. The Cronbach’s alpha coefficient of the Q-CHAT was 0.658, and test-retest reliability was calculated to be 0.836. The estimated area under the curve was 0.793. The total scores of the QCHAT in the ASD group demonstrated significant positive correlations with findings regarding pervasive development problems in the CBCL, SCQ, and CARS. A total score of 33.5 may be a useful cutoff point to use when identifying toddlers at risk of ASD. Conclusion: The Korean version of the Q-CHAT has good reliability and validity and can be used as a screening tool in order to identify toddlers and preschool children at risk of ASD.

An Artificial Intelligence Method for the Prediction of Near- and Off-Shore Fish Catch Using Satellite and Numerical Model Data

Yoon, You-Jeong,Cho, Subin,Kim, Seoyeon,Kim, Nari,Lee, Soo-Jin,Ahn, Jihye,Lee, Eunjeong,Joh, Seongeok,Lee, Yang-Won The Korean Society of Remote Sensing 2020 大韓遠隔探査學會誌 Vol.36 No.1

The production of near- and off-shore fisheries in South Korea is decreasing due to rapid changes in the fishing environment, particularly including higher sea temperature in recent years. To improve the competitiveness of the fisheries, it is necessary to provide fish catch information that changes spatiotemporally according to the sea state. In this study, artificial intelligence models that predict the CPUE (catch per unit effort) of mackerel, anchovies, and squid (Todarodes pacificus), which are three major fish species in the near- and off-shore areas of South Korea, on a 15-km grid and daily basis were developed. The models were trained and validated using the sea surface temperature, rainfall, relative humidity, pressure,sea surface wind velocity, significant wave height, and salinity as input data, and the fish catch statistics of Suhyup (National Federation of Fisheries Cooperatives) as observed data. The 10-fold blind test results showed that the developed artificial intelligence models exhibited accuracy with a corresponding correlation coefficient of 0.86. It is expected that the fish catch models can be actually operated with high accuracy under various sea conditions if high-quality large-volume data are available.

Construction of a Full-length cDNA Library from Cardamine manshurica Nakai and Characterization of EST Dataset

Subin Im,Sung-Ho Lee,Yoon-Young Kim,Ju-Sang Kim,Dasom Kim,Yong Pyo Lim 충남대학교 농업과학연구소 2016 Korean Journal of Agricultural Science Vol.43 No.1

크롬 확장 프로그램을 이용한 공공기관 웹사이트 인터랙티브 튜토리얼

박수빈(Subin Park),서현영(Hyeon-Yeong Seo),권혁윤(Hyuk-Yoon Kwon) 한국정보과학회 2022 한국정보과학회 학술발표논문집 Vol.2022 No.06

다중물리모델 기반 이차전지 열거동 분석에 관한 연구

이수빈(Subin Lee),남윤정(Yoon-Jung Nam),유기수(Kisoo Yoo) 대한기계학회 2021 대한기계학회 춘추학술대회 Vol.2021 No.4

리튬이온 전지를 사용하는 전지 모듈/팩에서 열관리는 매우 중요한 문제이다. 이러한 관점에서 본 연구는 모듈/팩단위의 전지 열거동을 엄밀히 예측할 수 있는 발열 모델을 제시하고자 하였다. 이차전지의 열해석을 위하여 열 생성 및 소산에 관련된 리튬 전지 발열요소를 가역열과 비가역열로 구분하여 설명하였다. 비 가역 발열의 경우 등가저항을 기반으로 한 Joule-heating 으로 모델링 하게 되는데 이는 전기화학적반응 계산을 회피하기 위한 것으로 수치계산 부담을 현격히 줄일 수 있다. 이때 전기적인 등가저항은 전기화학분광법에 의하여 결정되는데 본 연구에서는 충전율(SOC)을 등간격으로 나누어 등가저항값의 변화를 살펴보았다. 추가적으로 Bultler-Volmer Equation, Ionic Conduction Equation의 해석적인 접근법을 통하여 등가저항값의 변화를 설명하였으며 실험적으로 구한 값과 비교 분석하였다. 이를 통하여 완전충전 /방전 근방에서 급격한 저항값의 변화는 전극으로의 리튬 삽입(Lithium-intercalation) 저항에 기인한다는 것을 밝혀 내었다. 또한 본 연구에서 개발된 단일 셀에 대한 전기발열모델을 IBC 기법을 적용한 발열량 측정값과 비교 검증하였으며 셀/모듈/팩 열 거동 분석을 수치적, 실험적으로 수행하였다 본 분석을 통하여 등가저항기반 발열모델의 신뢰성이 입증되었으며 리튬 전지 모듈/팩의 열설계시 해당모델의 적용 가능성이 확인되었다. Heat management is a critical issue during the operation of battery modules, packs, and trays. A full-scale analysis model for accurately predicting the thermal behavior of batteries is proposed herein. In this study, the heat generation and dissipation terms were classified for both irreversible and reversible heat. The irreversible heat was formulated according to the Joule-heating model with internal resistance in order to circumvent the calculation of electrochemical reactions that require significant computational loads. The internal resistance in the Joule-heating model was determined via electrochemical impedance spectroscopy (EIS). The electrical equivalent resistance is determined by EIS analysis and, in this study, the change of the value was investigated by equal intervals of SOC. Additionally, an analytical formulation of the resistance was derived from the electrochemical kinetic equations to explain the rapid changes. Analysis revealed that the rapid changes were due to the Li intercalation phenomenon in the electrodes. Thermal analyses were conducted according to the proposed model for Li-ion single cells, and the simulation results exhibited good agreement with the experimental data. In addition, the heat generation model developed in this study was compared and verified with the calorific value measured using the IBC technique, and the cell/module/pack open-air analysis was performed numerically and experimentally. Through this analysis, the reliability of the equivalent resistance-based heating model was verified, and the applicability of the corresponding model was confirmed in the thermal design of the lithium battery module/pack.

Prediction of Decompensation and Death in Advanced Chronic Liver Disease Using Deep Learning Analysis of Gadoxetic Acid-Enhanced MRI

Heo Subin,이승수,Kim So Yeon,Lim Young-Suk,Park Hyo Jung,Yoon Jee Seok,Suk Heung-Il,Sung Yu Sub,Park Bumwoo,Lee Ji Sung 대한영상의학회 2022 Korean Journal of Radiology Vol.23 No.12

Objective: This study aimed to evaluate the usefulness of quantitative indices obtained from deep learning analysis of gadoxetic acid-enhanced hepatobiliary phase (HBP) MRI and their longitudinal changes in predicting decompensation and death in patients with advanced chronic liver disease (ACLD). Materials and Methods: We included patients who underwent baseline and 1-year follow-up MRI from a prospective cohort that underwent gadoxetic acid-enhanced MRI for hepatocellular carcinoma surveillance between November 2011 and August 2012 at a tertiary medical center. Baseline liver condition was categorized as non-ACLD, compensated ACLD, and decompensated ACLD. The liver-to-spleen signal intensity ratio (LS-SIR) and liver-to-spleen volume ratio (LS-VR) were automatically measured on the HBP images using a deep learning algorithm, and their percentage changes at the 1-year follow-up (ΔLS-SIR and ΔLS-VR) were calculated. The associations of the MRI indices with hepatic decompensation and a composite endpoint of liver-related death or transplantation were evaluated using a competing risk analysis with multivariable Fine and Gray regression models, including baseline parameters alone and both baseline and follow-up parameters. Results: Our study included 280 patients (153 male; mean age ± standard deviation, 57 ± 7.95 years) with non-ACLD, compensated ACLD, and decompensated ACLD in 32, 186, and 62 patients, respectively. Patients were followed for 11–117 months (median, 104 months). In patients with compensated ACLD, baseline LS-SIR (sub-distribution hazard ratio [sHR], 0.81; p = 0.034) and LS-VR (sHR, 0.71; p = 0.01) were independently associated with hepatic decompensation. The ∆LS-VR (sHR, 0.54; p = 0.002) was predictive of hepatic decompensation after adjusting for baseline variables. ∆LS-VR was an independent predictor of liver-related death or transplantation in patients with compensated ACLD (sHR, 0.46; p = 0.026) and decompensated ACLD (sHR, 0.61; p = 0.023). Conclusion: MRI indices automatically derived from the deep learning analysis of gadoxetic acid-enhanced HBP MRI can be used as prognostic markers in patients with ACLD.