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      • KCI등재

        A database of 5305 healthy Korean individuals reveals genetic and clinical implications for an East Asian population

        Lee JeongEun,Lee Jean,Jeon Sungwon,Lee Jeongha,Jang Insu,Yang Jin Ok,Park Soojin,이병욱,Choi Jinwook,Choi Byung-Ok,Gee Heon Yung,Oh Jaeseong,Jang In-Jin,Lee Sanghyuk,Baek Daehyun,Koh Youngil,Yoon Sung-So 생화학분자생물학회 2022 Experimental and molecular medicine Vol.54 No.-

        Despite substantial advances in disease genetics, studies to date have largely focused on individuals of European descent. This limits further discoveries of novel functional genetic variants in other ethnic groups. To alleviate the paucity of East Asian population genome resources, we established the Korean Variant Archive 2 (KOVA 2), which is composed of 1896 whole-genome sequences and 3409 whole-exome sequences from healthy individuals of Korean ethnicity. This is the largest genome database from the ethnic Korean population to date, surpassing the 1909 Korean individuals deposited in gnomAD. The variants in KOVA 2 displayed all the known genetic features of those from previous genome databases, and we compiled data from Korean-specific runs of homozygosity, positively selected intervals, and structural variants. In doing so, we found loci, such as the loci of ADH1A/1B and UHRF1BP1, that are strongly selected in the Korean population relative to other East Asian populations. Our analysis of allele ages revealed a correlation between variant functionality and evolutionary age. The data can be browsed and downloaded from a public website (https://www.kobic.re.kr/kova/). We anticipate that KOVA 2 will serve as a valuable resource for genetic studies involving East Asian populations.

      • Surface Modification, Amidation of Nanocellulose and Evaluation of Its Properties

        ( Jeongha Yoon ),( Chan-woo Park ),( Rajkumar Bandi ),( Song-yi Han ),( Azelia Wulan Cindradewi ),( Jeongha Yoon ),( Gu-joong Kwon ),( Seung-Hwan Lee ) 한국목재공학회 2021 한국목재공학회 학술발표논문집 Vol.2021 No.2

        This study describes the preparation of aerogels based on TEMPO oxidized cellulose nanofibrils (TOCNF) crosslinking with polyethyleneimine (PEI). However, the aerogels were prepared by varying the PEI amount (TOCNF:PEI 1:0.25, 1:0.5, 1:1, 1:1.5 and 1:2) to get the strong aerogel. The chemical and mechanical stability of these materials was provided by the formation of amide bonds between the carboxylic moieties of TOCNF and amines of PEI. Further, the prepared aerogels were characterized using various analytical techniques. Scanning electron microscopy results evidences the macroporous honeycomb structure of aerogels. Fourier transform infrared spectral results demonstrated the successful formation of amide bond between TOCNF and PEI. The carboxyl group content was measured by conductometric titration method. Specific surface area, pore volume and pore size of aerogels was examined using Brunauer-Emmett-Teller analysis.

      • KCI등재

        Additional Drug Resistance in Patients with Multidrug-resistant Tuberculosis in Korea: a Multicenter Study from 2010 to 2019

        Lee Taehoon,Lee Seung Jun,Jeon Doosoo,Lee Ho Young,Kim Hyo-Jung,Kang Bo Hyoung,Mok Jeongha 대한의학회 2021 Journal of Korean medical science Vol.36 No.26

        Background: Drug-resistance surveillance (DRS) data provide key information for building an effective treatment regimen in patients with multidrug-resistant tuberculosis (MDR-TB). This study was conducted to investigate the patterns and trends of additional drug resistance in MDR-TB patients in South Korea. Methods: Phenotypic drug susceptibility test (DST) results of MDR-TB patients collected from seven hospitals in South Korea from 2010 to 2019 were retrospectively analyzed. Results: In total, 633 patients with MDR-TB were included in the analysis. Of all patients, 361 (57.0%) were new patients. All patients had additional resistance to a median of three antiTB drugs. The resistance rates of any fluoroquinolone (FQ), linezolid, and cycloserine were 26.2%, 0.0%, and 6.3%, respectively. The proportions of new patients and resistance rates of most anti-TB drugs did not decrease during the study period. The number of additional resistant drugs was significantly higher in FQ-resistant MDR-TB than in FQ-susceptible MDR-TB (median of 9.0 vs. 2.0). Among 26 patients with results of minimum inhibitory concentrations for bedaquiline (BDQ) and delamanid (DLM), one (3.8%) and three (11.5%) patients were considered resistant to BDQ and DLM with interim critical concentrations, respectively. Based on the DST results, 72.4% and 24.8% of patients were eligible for the World Health Organization's longer and shorter MDR-TB treatment regimen, respectively. Conclusion: The proportions of new patients and rates of additional drug resistance in patients with MDR-TB were high and remain stable in South Korea. A nationwide analysis of DRS data is required to provide effective treatment for MDR-TB patients in South Korea.

      • KCI등재

        홍수 피해 발생 감시를 위한 소셜 네트워크 서비스 데이터 활용 방안 연구

        이정하(Lee, Jeongha),황석환(Hwang, SeokHwan) 한국방재학회 2019 한국방재학회논문집 Vol.19 No.7

        Recently, as social network services (SNS) have developed, various data have been produced. In particular, people serve as a sensor in the event of a flood, and data including the fluidity of the population are being produced. For this reason, there are several cases overseas of use of social network data as a monitoring method in the event of a disaster. However, Korea does not use such data because the data are unstructured data. Therefore, this study proposes the use of the unstructured data generated by SNS as a monitoring method for flood occurrence. To this end, we have developed a web crawler program that extracts SNS data and derived ways to utilize social network service data in the event of a disaster such as a flood through comparative analysis of rainfall events and patterns. 최근 소셜 네트워크 서비스(SNS)가 발달함에 따라 다양한 데이터들이 생산되고 있다. 특히 홍수와 같은 수난(水難) 발생 시 사람들이 하나의 센서 역할을 함으로써 인구의 유동성을 포한한 데이터가 생산되고 있다. 이러한 이유로 재난 발생 시 모니터링 방법으로 활용된 해외 사례가 있으나 우리나라에서는 비정형데이터라는 이유로 소셜네트워크 서비스 데이터를 활용하고 있지 않고 있는 실정이다. 따라서 본 연구에서는 SNS으로 생성된 비정형 데이터들을 홍수 발생시 모니터링 방법의 하나로 사용하는 방안을 제안하고자 한다. 이를 위해 SNS 데이터를 추출해내는 웹 크롤러 프로그램을 개발하였으며 이를 활용한 강우 사상과 패턴을 비교 분석을 통해 홍수와 같은 재난 발생 시 소셜 네트워크 서비스 데이터 활용 방안을 도출하고자 한다.

      • KCI등재

        엔지니어링 디자인 접목 과학 수업을 통한 창의역량의 신장 : 체화된 인지의 관점에서

        이정하(Jeongha Lee),김미숙(Misook Kim),유선아(Suna Ryu) 학습자중심교과교육학회 2021 학습자중심교과교육연구 Vol.21 No.22

        목적 이 연구의 목적은 엔지니어링 디자인을 접목한 과학수업을 통한 예비교사의 창의역량 신장 방안을 탐색하고 그 시사점을 도출하는 것이다. 방법 설계-기반 연구(Design Based Research)이며 체화된 인지(embodied cognition) 관점에서 3D 스케치 프로그램을 활용한 과학수업 프로그램을 설계, 적용하였다. P2CM STEAM 창의역량 분석틀을 수정하여 어떤 내용과 과정에서 창의역량이 발현되었는지 분석하고 고찰하였다. 연구 참여자는 충청도 소재 중등예비교사 18명으로 연구는 한 학기 동안 수행되었다. 자료 수집은 360VR 카메라를 사용한 비디오 촬영과 전사, 학생들이 작성한 활동 맵, 3D 모델링 산출물 인터뷰를 포함한다. 수정된 분석틀을 적용, 인지, 과정, 산출물 창의역량으로 구별하여 각 자료를 코딩한 후 종합하였다. 결과 예비교사들은 도구에 익숙해질수록 도구를 매개로 한 활발한 상호작용을 보였으며 인지, 과정, 산출물 창의역량이 이 과정에서 골고루 나타났다. 처음에는 디자인에 대한 아이디어를 논의하는 과정에서 인지창의역량이 나타났고, 스케치업을 이용한 설계과정에 과정창의역량이, 도서관 디자인의 완성도에서 산출물창의역량이 주로 표현되었다. 그러나 예비교사들이 스케치업의 사용에 익숙해지고 아이디어 구현이 쉬워짐에 따라 인지, 과정, 산출물창의역량이 분리되지 않고 유기적인 연계성을 가지고 연결되어 나타났다. 결론 체화된 인지의 관점에서 도구의 사용과 이를 매개로 한 상호 작용을 강조하여 설계된 엔지니어링 디자인 접목 과학 수업은 학습자의 창의력 발현에 효과적이다. Objectives The purposes of this study was to explore ways to enhance the creative competency of pre-service teachers through science classes that incorporate engineering design. Methods Using Design Based Research, we designed a science class program using a 3D sketch program from the perspective of embodied cognition. 18 secondary school pre-service teachers participated in this study. They took exploratory chemistry experiments at K university in Chungcheong Province during a semester. Data included video recording and transcription using a 360VR camera, activity maps, 3D modeling artifacts, and interviews. After coding each data, the data were synthesized by applying the revised analysis frame and dividing it into cognition, process, and productive creativity. Results As the pre-service teachers became more accustomed to the tools, they showed more active interactions mediated by using the tools. In the initial stage, cognitive creativity appeared in discussing ideas for design. Process creativity appeared when using Sketchup, whereas outcome creativity was evident when completing the library design. However, when pre-service teachers were familiar with Sketchup, the various creativity competencies appeared simultaneously in harmony. Consequently, the cognitive, process, and product creativity appeared evenly in this process. Conclusions The science class with engineering design framed by embodied cognition was effective in fostering learners’ creative competency.

      • KCI등재

        응용행동분석 중재에 대한 치료지원 전문가의 경험과 인식

        이정해(Lee, Jeonghae),최진혁(Choi, Jinhyeok) 한국행동분석학회 2020 행동분석․지원연구 Vol.7 No.2

        본 연구는 응용행동분석 중재에 대한 치료지원 전문가의 학습 경험과 인식을 확인 하였다. 응용행동분석을 중재하는 치료지원 전문가 84명을 대상으로 경험, 인식, 요구를 설문조사 하였다. 연구결과는 첫째, 치료지원 전문가들은 다양한 방법으로 응용행동분석에 대한 학습을 경험하였다. 둘째, 치료지원 전문가들은 중재 수행에 대한 장애물로 환경 체계의 팀 접근, 협력, 지원 부족을 인식하였다. 중재 제안에서의 어려움은 예산상의 문제와 서비스 제공기관의 부족이었다. 응용행동분석에 대한 긍정적 태도가 확인되었으나, 전략 실행에 시간이 소요된다고 인식하였다. 셋째, 치료지원 전문가들은 응용행동분석이 조기 중재 될 필요가 있으며, 다양한 영역에서 효과적일 것이라고 기대하였다. 또한 효과적인 중재를 위하여 관련 분야의 협력이 필요하다고 하였다. 응용행동분석 중재에 대한 학습 및 지원적 요구는 환경적 체제보다 개인의 역량 강화를 위한 요구가 보다 큰 것으로 나타났다. 연구결과는 응용행동분석 중재에 대한 사회적 기반을 안정화하고 질적 성장 방안을 모색하기 위한 기초자료로 의의가 있다. The study investigated the learning experiences and perceptions of ABA therapists on intervention of applied behavior analysis. A survey of 84 ABA therapists intervening applied behavior analysis was conducted on learning experience, perceptions and needs. The results of the study are as follows. First, ABA therapists are learning about applied behavior analysis in a variety of ways. Second, ABA therapists recognized the lack of support for team approach, cooperation and environmental system as barriers to intervention of applied behavior analysis. And ABA therapists recognized the budget problems and lack of service providers as barriers to intervention proposals in applied behavior analysis. Although the attitude toward the applied behavior analysis was positive, it was recognized that it took some time to implement the strategy for applied behavior analysis. Third, ABA therapists expected that applied behavior analysis should be intervened early and that intervention would be effective in various areas. In addition, ABA therapists recognized the need for collaboration in relevant fields for effective intervention in applied behavioral analysis. The learning and support needs for intervention of applied behavior analysis were found to have greater demands for individual competence than the environmental system. The results of the study are meaningful as basic data to stabilize the social foundation for intervention of applied behavior analysis and seek qualitative growth measures.

      • KCI등재

        인공신경망을 이용한 중소하천 수위예측

        이정하(Lee, Jeongha),황석환(Hwang, Seokhwan) 한국방재학회 2022 한국방재학회논문집 Vol.22 No.2

        우리나라는 여름(6월~8월)에 태풍과 장마전선에 의한 강우발생이 빈번하게 일어나는 기후양상을 갖고 있으나 최근 몇 년간 기후변화로 인하여 국지성호우가 돌발적으로 발생하는 일이 빈번하게 일어나고 있다. 이러한 국지성 호우 및 돌발 홍수는 짧은 시간 안에 많은 강우를 내리기 때문에 하도 폭이 좁은 중·소하천의 경우 하천 수위가 급격하게 상승하여 많은 피해를 발생시킨다. 대부분의 대하천의 경우 물리적인 모형인 강우-유출 모형을 활용하여 강우사상에 따른 하천수위를 예측하고 홍수 예·경보를 통하여 피해를 최소화한다. 하지만 중·소하천의 경우 대 하천에 비하여 하천에 대한 데이터 구축이 미비하고 이는 물리적 모형을 통한 정확한 홍수 예·경보의 어려움으로 이어지고 있다. 이에 본 연구에서는 환경부에서 제공하는 최소한의 수문 정보와 인공신경망을 활용하여 중·소하천의 수위를 예측하여 선행시간(Lead Time)을 확보하고자 한다. Typhoons and rainy seasons are typically a frequent occurrence in Korea’s summer climate (June to August); however, the frequency of local heavy rains has increased in recent years owing to climate change. These heavy rains are characterized by substantial rainfall within a short period of time, causing flash flooding. This in turn causes the water level of small and medium-sized rivers with a narrow river channel to increase rapidly, resulting in considerable damage. The rainfall-runoff model is a physical model that is used to predict the river level of most large rivers according to rainfall events, and damage is consequently minimized through flood forecasting and warning. However, data construction on small and medium-sized rivers is insufficient compared to that on large rivers, thereby leading to difficulties in accurate flood forecasting and warning through physical models. This study, therefore, attempts to predict the river level of small and medium-sized rivers using minimal information provided by the Ministry of Environment and artificial neural networks.

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