김선영 교수
Sunny Kim
서울대학교 · 의학
연구실 소개
김선영 교수의 연구실은 의약식물의 생리활성 성분 분석과 혈액응고 및 혈소판 응집 억제 기전에 대한 기초 연구를 중심으로, 전통약재의 약리적 기능을 과학적으로 규명하고자 합니다. 동시에 의료현장에서의 응용 가능성을 고려한 진단 및 치료 전략 개발에도 주력하고 있으며, 특히 헤파린 유도 혈소판감소증(HIT)과 같은 혈전성 질환의 진단 및 예측에 기여할 수 있는 생물학적 마커 탐색도 진행 중입니다. 의약식물의 기능성 성분과 임상응용 간의 다학제적 연결을 추구하는 연구가 특징입니다.
연구 현황
연구 성과 추이
표시된 성과는 수집된 데이터 기준으로 산출되며, 일부 차이가 있을 수 있습니다.
주요 논문
15Citizen science projects can collect a wealth of scientific data, but that data is only helpful if it is actually used. While previous citizen science research has mostly focused on designing effective capture interfaces and incentive mechanisms, in this paper we explore the application of HCI methods to ensure that the data itself is useful. To provide a focus for this exploration we designed and implemented Creek Watch, an iPhone application and website that allow volunteers to report informat
An all-solution-processed flexible thin film piezoelectric nanogenerator is demonstrated using reactive zinc hydroxo-condensation and a screen-printing method. The highly elastic thin film allows the piezoelectric energy to be generated through the mechanical rolling and muscle stretching of the piezoelectric unit. This flexible all solution-processed nanogenerator is promising for use in future energy harvesters such as wearable human patches and mobile electronics.
The optimal cut-off values of CC for low MM are 35 cm for males and 33 cm for females. Lower CC based on these cut-off values is related with poor physical function. CC may be also a good indicator of sarcopenia in Korean elderly.
On the basis of the findings, we discuss design implications that can positively influence older adults' first experiences with a voice assistant, including helping better understand how a voice assistant works, incorporating mistakes and common interaction patterns into its design, and providing features tailored to the needs of older adults.
Across HCI and social computing platforms, mobile applications that support citizen science, empowering non-experts to explore, collect, and share data have emerged. While many of these efforts have been successful, it remains difficult to create citizen science applications without extensive programming expertise. To address this concern, we present Sensr, an authoring environment that enables people without programming skills to build mobile data collection and management tools for citizen sci
This paper describes inAir, a tool for sharing measurements and visualizations of indoor air quality within one's social network. Poor indoor air quality is difficult for humans to detect through sight and smell alone and can contribute to the development of chronic diseases. Through a four-week long study of fourteen households as six groups, we found that inAir (1) increased awareness of, and reflection on air quality, (2) promoted behavioral changes that resulted in improved indoor air qualit
The purpose of this study was to predict osteoporosis risk as decreasing muscle mass and to declare the cut-off value of low muscle mass in an elderly Korean population. This study was based on data from the 2008-2010 Korea National Health and Nutritional Examination Surveys (KNHANES). The subjects included 1,308 men and 1,171 women over 65 yr. Bone mineral density (BMD) and appendicular skeletal muscle (ASM) were measured by dual energy X-ray absorptiometry (DXA), and appendicular skeletal musc
E-waste is a generic term embracing various forms of electric and electronic equipment that is loosely discarded, surplus, obsolete, or broken [27]. When e-waste is improperly discarded as trash, there are predictable negative impacts on the environment and human health. Existing e-waste solutions range from designing for reuse to fabricating with eco-friendly decomposable materials to more radical critiques of current practices surrounding capitalism and consumerism. Complementary to theses eff
In November 2022, ChatGPT was introduced and caused a sensation, gathering 100 million users only within two months. ChatGPT’s capability of generating high-quality sentences demonstrated potential to be applied in a wide range of fields. In this paper, we explore the utilization of ChatGPT as a second language learning tool and scrutinize its suitability. Specifically, we analyzed technical aspects of ChatGPT including its principles, history, and features. We then assessed its ability from two
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