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정치인들의 선거 캠페인 수단으로서의 SNS 활용: 2015년 4·29 재·보궐선거를 중심으로
박세미 ( Semi Park ),황하성 ( Hasung Hwang ) 한국인터넷정보학회 2016 인터넷정보학회논문지 Vol.17 No.2
본 연구는 선거캠페인 도구로써의 SNS 역할을 살펴보고자 2015년 4·29 재·보궐 선거 기간 동안의 정동영 후보와 변희재 후보의 SNS 상 메시지에 대한 내용 분석을 실시하였다. 본 연구의 결과로 첫째, 두 후보자의 SNS에 나타난 메시지의 내용적 측면을 분석한 결과 두 후보자 모두 `단순홍보`와 관련된 메시지를 가장 적극적으로 사용한 것으로 나타났다. 둘째, SNS상에 나타난 메시지의 목적을 베노이트(1999)가 제안한 설득적 전략방법에 따라 분석한 결과 두 후보자 모두`주장`의 전략을 가장 두드러지게 사용한 것으로 드러났다. 셋째, SNS상 메시지의 논제를 분석한 결과, 정동영 후보는 `인간적 특성`을, 변희재 후보는 `정책`에 관한 언급이 더 많은 것으로 나타났다. Considerable research over the years has been devoted to ascertaining the impact of social media on political settings.In recent days, Social Network Sites (SNS) such as Facebook allowed users to share their political beliefs, support specific candidates, and interact with others on political issues. This study examines the role of SNS as the means of political campaign. The study tasks the case of the 2015`sspecial election, Seoul Korea. The analysis aims to identify how candidates use Facebook or Twitter to interact with voters by applying functional theory of political campaign discourse developed by Benoit. In this study, we analyzed the candidates` SNS messages in terms of political behavior such as self-expression, informing policy, asking voters to participate in political events. Among them the results indicated that two candidates, Jung, Dong Young and Byun, Hee Jae, both of them used SNS to express themselves the most. The study also found that two candidates used mainly the strategy called `acclaim` which praises their own strengths. In terms of topics of SNS messages (policy versus character) there was different between two candidates. Jung, sent message in relation to `character` the most, while Byun contained `policy` message on SNS the most. Based on these findings implications and directions for future studies are discussed.
Characteristics of Word Categorization in Children with High-Functioning Autism
엄세미(Semi Um),고선희(Sunhee Ko),황민아(Mina Hwang) 한국언어청각임상학회 2013 Communication Sciences and Disorders Vol.18 No.4
배경 및 목적: 범주화는 여러 대상들의 공통적인 특성을 파악하여 분류하는 것으로 의미적인 정보를 통합하여 처리하는 능력이 요구된다. 또한 범주화는 단어를 효율적으로 저장하고 산출할 수 있게 하며, 새로운 대상에 대한 추론에도 도움을 준다. 본 연구에서는 고기능 자폐아동과 일반아동에게 범주화 과제를 실시함으로써 고기능 자폐아동의 의미적 정보 처리 특성을 알아보고자 하였다. 방법: 초등학교 1-3학년 고기능 자폐아동 12명과 생활연령, 지능수준 및 언어능력을 일치시킨 일반아동 12명을 대상으로 하였고 이들에게 지각적-주제적 범주 조건 및 지각적-분류적 범주 조건으로 구성된 범주화 선호도 과제와 범주화 이해 과제를 실시하였다. 결과: 고기능 자폐아동은 범주화 선호도 과제에서 일반아동에 비해 주제적 또는 분류적 범주화보다 지각적 범주화를 유의하게 선호하는 것으로 나타났고 범주화 이해 과제에서는 유의미한 차이가 없는 것으로 나타났다. 논의 및 결론: 이 같은 결과는 고기능 자폐아동들이 높은 수준의 범주화 기술을 습득하지 못했기 때문이 아니라 지각적인 처리를 의미적인 처리보다 우선적으로 사용하는 이들의 정보처리 특성이 반영된 결과로 해석할 수 있다. 본 연구는 고기능 자폐아동들의 정보처리 특성이 언어 과제 수행에 영향을 미친다는 사실을 확인했다는 점에서 의의가 있다. Objectives: Categorization is identifying and classifying the common features of different objects, which is required to integrate and to process semantic features. It can also help to store and to retrieve words efficiently, and to infer new objects. The purpose of this study is to find the characteristics of semantic information process in high-functioning autism by using categorization preference task and categorization understanding task. Methods: The participants were 12 children with high-functioning autism from the 1st grade to the 3rd grade of elementary school and 12 typically developing children with matching chronological age, IQ, and language level. Children performed categorization preference task and understanding task which composed of perceptual-thematic category conditions and perceptual- taxonomic category conditions. The differences between the groups and conditions were being compared. Results: In the categorization preference task, children with high-functioning autism showed significantly strong preference for perceptual categorization over thematic and taxonomic categorizations as compared with typically developing children. In the categorization understanding task, both the children with high-functioning autism and the typically developing children revealed high performances, and there were no significant differences according to the groups and conditions. Conclusion: The results of this study demonstrated that children with high-functioning autism relied on perceptual characteristics although they have high-levels of knowledge on categorization. These results also suggested that characteristics of information process in children with highfunctioning autism could influence the performance of language tasks.
STK3/4 expression is regulated in uterine endometrial dells during the estrous cycle
Sohyeon Moon,Haeun Park,Semi Hwang,Siyoung Lee,Byeongseok Kim,Youngsok Choi 한국실험동물학회 2021 한국실험동물학회 학술발표대회 논문집 Vol.2021 No.7
The uterus is dynamically regulated in response to various signaling triggered by hormones during the estrous cycle. The Hippo signaling pathway is known as an important signaling for regulating cellular processes during development by balancing between cell growth and apoptosis. Serine/threonine protein kinase 3/4 (STK3/4) is a key component of the Hippo signaling network. However, the regulation of STK3/4-Hippo signaling in the uterus is little known. In this study, we investigated the regulation and expression of STK3/4 in the uterine endometrium during the estrous cycle. STK3/4 expression was dynamically regulated in the uterus during the estrous cycle. STK3/4protein expression was gradually increased from the diestrus stage and reached the highest in the estrus stage. STK3/4 was exclusively localized in the luminal and glandular epithelial cells of the uterus, and phosphorylated STK3/4 was also increased at the estrus stage. Moreover, the increase of STK3/4 expression in uteri was induced by administration of estradiol, but not by progesterone injection in ovariectomized mice. Pretreatment with an estrogen receptor antagonist ICI 182,780reduced estrogen-induced STK3/4 expression and its phosphorylation. The estrogen-induced STK3/4expression was related to the increase in phosphorylation of downstream targets including LATS1/2and YAP. These findings suggest that STK3/4-Hippo signaling acts a novel signaling pathway in the uterine epithelium and STK3/4-Hippo is one of key molecules for connecting between the estrogen downstream signaling pathway and the Hippo signaling pathway leading to regulate dynamic uterine epithelium during the estrous cycle.
Traditional and Genetic Risk Score and Stroke Risk Prediction in Korea
Jung, Keum Ji,Hwang, Semi,Lee, Sunmi,Kim, Hyeon Chang,Jee, Sun Ha The Korean Society of Cardiology 2018 Korean Circulation Journal Vol.48 No.8
<P><B>Background and Objectives</B></P><P>Whether using both traditional risk factors and genetic variants for stroke as opposed to using either of the 2 alone improves the prediction of stroke risk remains unclear. The purpose of this study was to compare the predictability of stroke risk between models using traditional risk score (TRS) and genetic risk score (GRS).</P><P><B>Methods</B></P><P>We used a case-cohort study from the Korean Cancer Prevention Study-II (KCPS-II) Biobank (n=156,701). We genotyped 72 single nucleotide polymorphisms (SNPs) identified in genome-wide association study (GWAS) on the KCPS-II sub-cohort members and stroke cases. We calculated GRS by summing the number of risk alleles. Prediction models with or without GRS were evaluated in terms of the area under the receiver operating characteristic curve (AUROC).</P><P><B>Results</B></P><P>Sixteen out of 72 SNPs identified in GWAS showed significant associations with stroke, with an odds ratio greater than 2.0. For participants aged <40 years, AUROCs for incident stroke were 0.58, 0.65, and 0.67 in models using modifiable TRS only, GRS only, and TRS plus GRS, respectively, showing that GRS only model had better prediction than TRS only. For participants aged ≥40 years, however, TRS only model had better prediction than GRS only model. Favorable levels of traditional risk were associated with significantly lower stroke risks within each genetic risk category.</P><P><B>Conclusions</B></P><P>TRS and GRS were both independently associated with stroke risk. Using genetic variants in addition to traditional risk factors may be the most accurate way of predicting stroke risk, particularly in relatively younger individuals.</P>