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Tinsley, Kevin W.,Hong, Changwan,Luckey, Megan A.,Park, Joo-Young,Kim, Grace Y.,Yoon, Hee-won,Keller, Hilary R.,Sacks, Andrew J.,Feigenbaum, Lionel,Park, Jung-Hyun American Society of Hematology 2013 Blood Vol.122 No.14
<P>The zinc-finger protein Ikaros is a key player in T-cell development and a potent tumor suppressor in thymocytes. To understand the molecular basis of its function, we disabled Ikaros activity in vivo using a dominant negative Ikaros transgene (DN-IkTg). In DN-IkTg mice, T-cell development was severely suppressed, and positively selected thymocytes clonally expanded, resulting in a small thymus with a heavily skewed T-cell receptor (TCR) repertoire. Notably, DN-IkTg induced vigorous proliferation concomitant to downregulation of antiapoptotic factor expression such as Bcl2. Ikaros activity was required during positive selection, and specifically at the CD4<SUP>+</SUP>CD8<SUP>lo</SUP> intermediate stage of thymocyte differentiation, where it prevented persistent TCR signals from inducing aberrant proliferation and expansion. In particular, DN-IkTg induced the accumulation of CD4 single-positive (SP) thymocytes with a developmentally transitional phenotype, and it imposed a developmental arrest accompanied by massive apoptosis. Thus, we identified an in vivo requirement for Ikaros function, which is to suppress the proliferative potential of persistent TCR signals and to promote the survival and differentiation of positively selected thymocytes.</P>
분산 능력을 고려한 기후변화에 따른 붉가시나무의 잠재서식지 분포변화 예측연구
신만석 ( Man-seok Shin ),서창완 ( Changwan Seo ),박선욱 ( Seon-uk Park ),홍승범 ( Seung-bum Hong ),김진용 ( Jin-yong Kim ),전자영 ( Ja-young Jeon ),이명우 ( Myungwoo Lee ) 한국환경영향평가학회 2018 환경영향평가 Vol.27 No.3
본 연구는 붉가시나무(Quercus acuta Thunb.)를 대상으로 기후변화의 영향을 평가함에 있어 분산능력을 고려해보고자 하였다. 기후변화에 따른 붉가시나무의 잠재서식지 변화를 예측하기 위하여 종의 분포자료와 기후자료를 활용하여 종분포모형을 개발하였다. 종분포모형은 9개 알고리즘을 True Skill Statistic 평가 값 가중치로 합산하는 앙상블모형을 적용하여 불확실성을 줄이고자 하였다. 미래의 시간적범위는 2050년과 2070년을 대상으로 하였으며, 기후변화 시나리오는 RCP4.5와 RCP8.5를 선정 하였다. 최종적인 미래 잠재서식지는 현재 적합서식지에서 분산능력에 따라 분산가능한지의 여부를 고려하여 결정하였다. 분산능력은 제한이 없는 경우(Unlimited)와 거리에 따른 분산 확률 함수에 3가지 계수값 (θ = -0.005, θ = -0.001, θ = -0.0005)을 적용하여 R 패키지인 Migclim을 사용하여 구현하였다. 2050년 RCP4.5 시나리오에서 계수값이 θ = -0.005일 때 붉가시나무의 잠재서식지가 감소하였다. 그 이외의 경우에는 분산능력이 낮은 경우에도 한반도 내의 잠재서식지가 늘어났다. 하지만 분산능력을 고려하였을 경우 붉가시나무의 미래 잠재서식지 확장에는 한계가 분명하게 나타났다. 따라서 기후변화에 따른 미래 잠재서식지 예측에 있어서 분산능력을 고려하는 것이 중요하다고 판단된다. This study was designed to predict potential habitat of Japanese evergreen oak (Quercus acuta Thunb.) in Korean Peninsula considering its dispersal ability under climate change. We used a species distribution model (SDM) based on the current species distribution and climatic variables. To reduce the uncertainty of the SDM, we applied nine single-model algorithms and the preevaluation weighted ensemble method. Two representative concentration pathways (RCP 4.5 and 8.5) were used to simulate the distribution of Japanese evergreen oak in 2050 and 2070. The final future potential habitat was determined by considering whether it will be dispersed from the current habitat. The dispersal ability was determined using the Migclim by applying three coefficient values (θ = -0.005, θ = -0.001 and θ = -0.0005) to the dispersal-limited function and unlimited case. All the projections revealed potential habitat of Japanese evergreen oak will be increased in Korean Peninsula except the RCP 4.5 in 2050. However, the future potential habitat of Japanese evergreen oak was found to be limited considering the dispersal ability of this species. Therefore, estimation of dispersal ability is required to understand the effect of climate change and habitat distribution of the species.
Flash LADAR 이미지에 비선형 필터를 이용한 노이즈 제거
지정민(JeongMin Jee),손효주(HyoJoo Son),김창완(ChangWan Kin),홍병우(ByungWoo Hong),최광남(KwangNam Choi) 한국정보과학회 2008 한국정보과학회 학술발표논문집 Vol.35 No.2
최근에 개발된 플래쉬 레이더(Flash LADAR)를 사용하여 획득한 레인지 이미지에서 노이즈를 제거하여 실시간으로 오브젝트를 구분하는 새로운 비선형 필터를 제안한다. 플래쉬 레이더는 스트레오 비전 시스템에 비해 특징이 없는 환경에서도 3차원 데이터를 손실없이 한번에 획득할 수 있는 장점이 있다. 획득된 레인지 이미지는 일정 범위 밖의 배경을 모호하게 인식하여 노이즈로 간주한다. 제안한 필터를 이용한 노이즈 제거와 관심영역을 분리하여 오브젝트를 분리하는 기본적인 방법을 제시한다. 실제 현장에서 획득한 데이터를 이용한 실험을 통해서 제안한 필터가 다양한 형태의 오브젝트 분리하는데 효과적이라는 것을 보여준다.
Koo, Kyung Ah,Park, Seon Uk,Hong, Seungbum,Jang, Inyoung,Seo, Changwan Springer Japan 2018 Ecological research Vol.33 No.2
<P><B>Abstract</B></P><P>The prediction of the climate change effect on plant distribution has become a primary research field for conservation practices and planning. The present research predicted future distributions of warm‐adapted evergreen trees, <I>Neolitsea sericea</I> (Blume) Koidz. and <I>Camellia japonica</I> L., under climate change in the Korean Peninsula (KP) using an ensemble approach and quantified the predictive uncertainty. For these purposes, we used nine modeling algorithms and the pre‐evaluation weighted ensemble method in modelling the current distributions of those evergreen trees; furthermore, we predicted their future distributions under 20 climate change scenarios and averaged the future predictions for ensemble forecasts. The results suggest that both species would expand to the northern part of KP under climate changes; however, the spatial pattern and rate of expansions would be different. <I>C. japonica</I> showed a faster expansion than <I>N. sericea</I>. While <I>C. japonica</I> showed both inland and northward expansions under climate change, <I>N. sericea</I> was mostly distributed in coastal areas. In addition, the highly suitable habitats of <I>N. sericea</I> and <I>C. japonica</I> will decline or shift to the north under climate change. This may indicate that climate change will degrade habitat suitability of those species within the distribution boundary and may restrict their continuous range expansions under further climate changes. Considering the lack of research on the climate‐related range shifts of plants in Asia including KP, the present study provides fundamental and practical knowledge for a better understanding of climate‐related vegetation changes in Asia as well as in KP.</P>
상호동료교수법을 활용한 교대해부실습이 해부실습 시험 성적에 미치는 영향
김윤학(Yun Hak Kim),홍창완(Changwan Hong),오세옥(Sae-Ock Oh),윤식(Sik Yoon),김민정(Min Jeong Kim),주성일(Sungil Ju),윤소정(So Jung Yune),백선용(Sunyong Baek) 대한체질인류학회 2018 해부·생물인류학 (Anat Biol Anthropol) Vol.31 No.3
의학교육과정의 개편으로 해부학 강의 시간이 감소하면서 학생들이 참여하는 해부실습 시간을 보다 효율적 활용할 수 있는 교수 전략에 대한 관심이 높아지고 있다. 본 연구의 목적은 상호동료교수법을 활용한 교대해부실습(alternating dissection)이 실습시험 성적에 미치는 영향을 분석하는 것이다. 의과대학 의학과 1학년 학생을 가나다 순서로 각 실습대에 8~9명씩을 배정하였다. 각 조원을 다시 A조와 B조로 나누어 해부조와 관찰조로 분류하여 번갈아 가면서 해부실습을 진행하였다. 해부를 하지 않는 관찰조는 팀바탕학습을 기반으로 하는 자기주도학습을 실시하고, 당일의 해부를 마치면 해부조는 관찰조에게 동료가르침을 하였다. 새로운 실습방법과 전통적 실습방법에 따른 실습시험 성적은 유의한 차이를 보이지 않았으며, 교대해부실습에서 A조와 B조 사이의 실습시험 성적도 유의한 차이를 보이지 않았다. 그러나 부위에 따른 문항 분석에서 직접 해부한 부위에 해당하는 문항의 정답률이 관찰한 부위에 해당하는 문항의 정답률에 비해 유의하게 높았다. 정답률에서 유의한 차이를 보이는 문항은 전체 86개 문항 중에서 9개 문항이었다. 결론적으로, 의과대학 1학년 학생의 해부실습에서 상호동료교수법을 활용한 교대해부실습의 효용성을 확인하였다. The reformation of medical curriculum induced the reduction of anatomy course schedule especially in contact hours in anatomy laboratory. It has led to the use of more efficient teaching approaches in anatomy laboratory. The purpose of this work provide a detailed analysis of alternating dissections with reciprocal peer teaching in anatomy laboratory. Students were assigned alphabetically, in teams of eight or nine, to each dissecting table. The team was subdivided into two groups, A and B, each group dissected every other session. Students excused from dissection spent their time with team-based learning and self-directed learning. Dissected peer-teaching groups presented structures from the dissection to groups absent during dissection. Practical exam scores of the alternating dissection indicated no significant difference with those of classical dissection of previous year. Subgroup analysis of practical exam scores in alternating dissection was also no significant difference between group A and B. Assessment of question types showed that correction rates of questions in the dissected region was significantly higher on dissection group assignment. There were 9 questions (out of 86) in which there was a significant difference in correction rates between A and B groups. In conclusion, the laboratory paradigm of alternating dissection with reciprocal peer teaching demonstrated an effective method of learning gross anatomy laboratory for first year medical students.
Park, Seon Uk,Koo, Kyung Ah,Seo, Changwan,Hong, Seungbum The Ecological Society of Korea 2017 Journal of Ecology and Environment Vol.41 No.11
Background: Many studies about climate-related range shift of plants have focused on understanding the relationship between climatic factors and plant distributions. However, consideration of adaptation factors, such as dispersal and plant physiological processes, is necessary for a more accurate prediction. This study predicted the future distribution of marlberry (Ardisia japonica), a warm-adapted evergreen broadleaved shrub, under climate change in relation to the dispersal ability that is determined by elapsed time for the first seed production. Results: We introduced climate change data under four representative concentration pathway (RCP 2.6, 4.5, 6.0, and 8.5) scenarios from five different global circulation models (GCMs) to simulate the future distributions (2041~2060) of marlberry. Using these 20 different climate data, ensemble forecasts were produced by averaging the future distributions of marlberry in order to minimize the model uncertainties. Then, a dispersal-limited function was applied to the ensemble forecast in order to exam the impact of dispersal capacity on future marlberry distributions. In the dispersal-limited function, elapsed time for the first seed production and possible dispersal distances define the dispersal capacity. The results showed that the current suitable habitats of marlberry expanded toward central coast and southern inland area from the current southern and mid-eastern coast area in Korea. However, given the dispersal-limited function, this experiment showed lower expansions to the central coast area and southern inland area. Conclusions: This study well explains the importance of dispersal capacity in the prediction of future marlberry distribution and can be used as basic information in understanding the climate change effects on the future distributions of Ardisia japonica.