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      • KCI등재

        Particulate matter promotes cancer metastasis through increased HBEGF expression in macrophages

        Park Seung-Ho,Yoon Sung-Jin,Choi Song,Jung Jaeeun,Park Jun-Young,Park Young-Ho,Seo Jinho,Lee Jungwoon,Lee Moo-Seung,Lee Seon-Jin,Son Mi-Young,Cho Young-Lai,Kim Jang-Seong,Lee Hyo Jin,Jeong Jinyoung,Ki 생화학분자생물학회 2022 Experimental and molecular medicine Vol.54 No.-

        Although many cohort studies have reported that long-term exposure to particulate matter (PM) can cause lung cancer, the molecular mechanisms underlying the PM-induced increase in cancer metastasis remain unclear. To determine whether PM contributes to cancer metastasis, cancer cells were cultured with conditioned medium from PM-treated THP1 cells, and the migration ability of the treated cancer cells was assessed. The key molecules involved were identified using RNA-seq analysis. In addition, metastatic ability was analyzed in vivo by injection of cancer cells into the tail vein and intratracheal injection of PM into the lungs of C57BL/6 mice. We found that PM enhances the expression of heparin-binding EGF-like growth factor (HBEGF) in macrophages, which induces epithelial-to-mesenchymal transition (EMT) in cancer cells, thereby increasing metastasis. Macrophage stimulation by PM results in activation and subsequent nuclear translocation of the aryl hydrocarbon receptor and upregulation of HBEGF. Secreted HBEGF activates EGFR on the cancer cell surface to induce EMT, resulting in increased migration and invasion in vitro and increased metastasis in vivo. Therefore, our study reveals a critical PM-macrophage-cancer cell signaling axis mediating EMT and metastasis and provides an effective therapeutic approach for PM-induced malignancy.

      • KCI등재

        자동차 차체에서 빗물의 역류 모사에 관한 연구

        이정운(Jungwoon Lee),윤재득(Jeadeuk Yun),박성배(Sungbae Park),정융호(Yoongho Jung) (사)한국CDE학회 2011 한국CDE학회 논문집 Vol.16 No.5

        Large number of part design such as for aircraft and automotive development is preceded by functional or sectional design groups for efficiency. With the assembly development of large number of parts, interferences and gaps can be found when the parts and sub-assemblies by those design groups are to be assembled. When rainwater come into the space among parts and is not be drained sufficiently, rainwater within the structure can backflow to gaps or unexpected outlets, which may cause severe problems of part corrosion and electric shock. This research has developed a method and a program to simulate backflow of rainwater within space among parts, which can find unexpected outlets and gaps as in real situation. The developed program can not only simulate up and downstream of liquid, but also the flow with multiple channels of division and joining. The developed method can also be applied to aircraft and ship design process.

      • 자동차 차체에서 빗물의 역류 모사에 관한 연구

        이정운(Jungwoon Lee),윤재득(Jeadeuk Yun),박성배(Sungbae Park),정융호(Yoongho Jung) (사)한국CDE학회 2012 한국 CAD/CAM 학회 학술발표회 논문집 Vol.2012 No.2

        Large number of part design such as for aircraft and automotive development is preceded by functional or sectional design groups for efficiency. With the assembly development of large number of parts, interferences and gaps can be found when the parts and sub-assemblies by those design groups are to be assembled. When rainwater come into the space among parts and is not be drained sufficiently, rainwater within the structure can backflow to gaps or unexpected outlets, which may cause severe problems of part corrosion and electric shock. This research has developed a method and a program to simulate backflow of rainwater within space among parts, which can find unexpected outlets and gaps as in real situation. The developed program can not only simulate up and downstream of liquid, but also the flow with multiple channels of division and joining. The developed method can also be applied to aircraft and ship design process.

      • 전산유체해석을 활용한 공기청정기 구조 설계 및 개선

        박종혁(Jonghyuck Park),민준원(Joonwon Min),유승을(Seungeul Yoo),최정운(Jungwoon Choi),최우석(Wooseok Choi),김시동(Sidong Kim) 한국자동차공학회 2011 한국자동차공학회 학술대회 및 전시회 Vol.2011 No.11

        Along with increasing awareness of the indoor air quality, the problem of removing gaseous pollutants and smell inside of vehicle has become more important than ever. Volatile organic compound (VOC) generated from inside of vehicles expose drivers to various kinds of diseases for a long period of time. This study analyzes photocatalyst and air purifier. Computational fluid dynamic analysis (CFD) was used to analyze photocatalyst responses and fluid in accordance with the influx of air.

      • Novel Brush Polymers with Phosphorylcholine Bristle Ends: Synthesis, Structure, Properties, and Biocompatibility

        Kim, Gahee,Park, Samdae,Jung, Jungwoon,Heo, Kyuyoung,Yoon, Jinhwan,Kim, Heesoo,Kim, Ik Jung,Kim, Jung Ran,Lee, Jong Im,Ree, Moonhor WILEY-VCH Verlag 2009 Advanced functional materials Vol.19 No.10

        <P>New brush polymers with various numbers of bristle ends incorporating phosphorylcholine (PC) moieties are synthesized. The polymers are thermally stable up to 175 °C and form good-quality films with conventional spin-, roll-, and dip-coating, and subsequent drying processes. Interestingly, all these brush polymers, as a PC-containing polymer, demonstrate a stable molecular multi-bilayer structure in thin films that arise due to the efficient self-assembly of the bristles for temperatures <55 °C and PC-rich surfaces, and therefore successfully mimic natural cell-membrane surfaces. These brush-polymer films exhibit excellent water wettability and water sorption whilst retaining the remarkable molecular multi-bilayer structure, and thus have hydrophilic surfaces. These novel multi-bilayer structured films repel fibrinogen molecules and platelets from their surfaces but also have bactericidal effects on bacteria. Moreover, the brush-polymer films are found to provide comfortable surface environments for the successful anchoring and growth of HEp-2 cells, and to exhibit excellent biocompatibility in mice. These newly developed brush polymers are suitable for use in biomedical applications including medical devices and biosensors that require biocompatibility and the reduced possibility of post-operative infection.</P> <B>Graphic Abstract</B> <P>New brush polymers with various numbers of bristle ends incorporating phosphorylcholine (PC) moieties are synthesized. The new PC-containing brush polymers (see image) form a stable molecular multi-bilayer structure in thin films and successfully mimic natural cell membrane surfaces. The hydrophilic surface of the films repels fibrinogen and platelets and exhibit bactericidal effects. <img src='wiley_img/1616301X-2009-19-10-ADFM200801680-content.gif' alt='wiley_img/1616301X-2009-19-10-ADFM200801680-content'> </P>

      • KCI등재

        공군사관학교 예비생도들의 기초군사훈련 주차별 신체활동 에너지 소비량 분석

        김근수(Keunsu Kim),김정운(JungWoon KIM),이율효(YulHyo LEE),박정섭(JungSub PARK),고재연(JaeYeon KO) 육군사관학교 화랑대연구소 2014 한국군사학논집 Vol.70 No.3

        본 연구는 공군사관학교 가입학 예비생도들을 대상으로 기초군사훈련 주차별 신체활동에 따른 에너지 소비량을 측정/분석하고, 4주 훈련 전·후 신체구성과 체력의 변화를 규명하여, 향후 기초군사훈련 단계별 훈련목표 설정과 입학 후 사관생도 체력관리에 유용한 자료를 제공하는 데 있다. 그 결과, 신체구성에서 체중, 체지방량, 체지방률, BMI는 감소하였고, 체중 1kg당 골격근량은 증가하였다. 기초체력 측정결과 눈감고 외발서기, 윗몸일으키기, 사이드 스텝은 증가하였으며, 앉아 윗몸 앞으로 굽히기는 감소하였다. 신체활동 에너지 소비량의 변화는 2주차 시기에서 증가한 후, 3주차에서 감소하고 다시 4주차에서 증가한 것으로 나타났다. 결론적으로, 공군사관학교 예비생도들의 기초군사훈련은 신체구성을 개선시키고 기초체력을 증가(유연성은 감소) 시키며 주차별 적절한 훈련 강도로 프로그램 되어 있음을 알 수 있다. The purpose of this study is to provide useful data for establishment of future training objectives by stage on basic military training through measuring and analyzing weekly energy consumption from physical activities, and through examining variations in physical fitness before and after the four weeks of training. To accomplish the objectives of this study, energy consumption from physical activities weekly basis(1~4 weeks) were measured and analyzed by utilizing accelerometer on the subject of 13 cadet candidates who entered the basic military training for 2013 entrance. In addition, the variation of physical fitness and body composition before and after the training were analyzed. All test results including averages and standard deviations were generated by Windows SPSS 17.0 Statistics Package. In order to verify the body composition and physical fitness before and after the military training, Paired t-test was used in the analysis, and Two-way ANOVA by Repeated Measurements were used for the weekly physical activities (p<.05). The results of this research are as follows. First, based on the analysis on body composition, average body fat percentage was decreased from 16.164.48% to 12.77±3.88%(p<.001). Second, after measurement of basic physical fitness, considerable statistical changes were observed in balance, situps, push ups, and side-steps; however, no considerable changes were observed in grip and standing long jump. Third, based on the analysis on energy consumption from physical activities, first week's results showed considerable statistical difference from every other week(second, third, and fourth week) (p<.001). There were no considerable statistical difference between the second and fourth week's results, but it showed attentive difference between second and fourth week's results (p<.001). As a result, this study suggests that overall body composition was improved. Balance, muscular endurance, agility were improved while flexibility was diminished, and weekly energy consumption were increased.

      • 광어 생산량 예측을 위한 회귀분석 자동화 시스템 구축

        안진현(Jinhyun Ahn),강정운(Jungwoon Kang),김민철(Mincheol Kim),박소영(So-Young Park) 한국정보통신학회 2021 한국정보통신학회 종합학술대회 논문집 Vol.25 No.2

        본 연구는 광어의 적정 생산량 예측을 위한 회귀분석 자동화 시스템 구축을 목표로 한다. 현재 우리나라의 세계 각국과 FTA 체결 및 시장 개방 가속화 등으로 인해 한국 광어 양식 사업들은 환경의 특수성과 불확실성에 의해 많은 어려움을 겪고 있다. 또한 최근 연어, 방어 등의 수입 수산물의 급증과 국민들의 식생활 변화로 소비 부진 및 가격 하락 등의 문제를 해결할 방안이 필요한 실정이다. 이에 본 연구에서는 양식 광어의 수급 안정과 경제적 가치를 분석하여 적정한 광어 생산량을 알기 위해 빅 데이터를 활용한 회귀분석 자동화 시스템을 구현하였으며, 파이썬 모듈인 xlwings를 활용하여 광어의 생산금액과 생산량에 대한 가중치를 구하고 추후 생산될 광어의 양을 예측하는 데 활용하였다. 따라서 이러한 광어 생산량 예측에 대한 분석 결과를 토대로 향후 광어 양식 업계에서는 적정 생산량 달성 및 수급 조절 방안을 마련할 수 있을 것이며, 이는 불필요한 경제적 손실을 줄이고 데이터를 기반한 새로운 가치창출을 도모할 수 있을 것이다. 또한 연구에서 시도한 데이터 접근 방식을 통해 향후 여러 분야의 연구에서는 인공신경망, 다중회귀분석 등 다양한 분석 기법을 활용할 수 있고 이는 다양한 업계에서 효과적으로 빅데이터를 분석하고 활용할 수 있는 기초적인 자료의 토대가 될 것이다. This study aims to implement a Regression Analysis system for predicting the appropriate production of flatfish. Due to Korea’s signing of FTAs with countries around the world and accelerating market opening, Korean flatfish farming businesses are experiencing many difficulties due to the specificity and uncertainty of the environment. In addition, there is a need for a solution to problems such as sluggish consumption and price drop due to the recent surge in imported seafood such as salmon and yellowtail and changes in people’s dietary habits. in this study, Using the python module, xlwings, it was used to obtain for the production amount of flatfish and to predict the amount of flatfish to be produced later. was used to predict the amount of flatfish to be produced in the future. Therefore, based on the analysis results of this prediction of flatfish production, the flatfish aquaculture industry will be able to come up with a plan to achieve an appropriate production volume and control supply and demand, which will reduce unnecessary economic loss and promote new value creation based on data. In addition, through the data approach attempted in this study, various analysis techniques such as artificial neural networks and multiple regression analysis can be used in future research in various fields, which will become the foundation of basic data that can effectively analyze and utilize big data in various industries.

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