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황소윤,권기태 대한의료관련감염관리학회 2022 의료관련감염관리 Vol.27 No.1
As the novel coronavirus infection (COVID-19) continues to spread, the burnout of healthcare workers responding to COVID-19 cases is becoming a serious problem. This study reviewed the literature on the burnout among healthcare workers during the COVID-19 pandemic. Risk factors for burnout included fear and anxiety, depression, and stress caused by the thought that COVID-19 could be transmitted to the workers themselves, lack of experience in treating COVID- 19, and excessive workload. The burden of wearing personal protective equipment might also be a risk factor for burnout. To prevent burnout of healthcare workers during an outbreak of infectious diseases such as COVID-19, strategies and systems such as providing education and training for novel virus diseases, securing reserve medical personnel, and preparing an appropriate compensation system are absolutely necessary. Additionally, comprehensive plans for an adequate healthcare response to tackling emerging infectious diseases need to be established at the national and local Government levels and in individual medical institutions.
지속가능한 도시건축 이론, New Urbanism의 공간구조 특성을 적용한 주거ㆍ휴양 복합시설 계획안
황소윤(Hwang So-Yun),김광배(Kim Kwang-Bae) 대한건축학회 2007 대한건축학회 학술발표대회 논문집 - 계획계/구조계 Vol.27 No.1
The New Urbanism, Neotraditional Planning, movement has been formalized in 1991 with the birth of Ahwahnee Principles and the Congress for New Urbanism has originally been formed in 1993. New Urbanists diagnosed American socio-economic ills such as congestion, increasing crime rate, racial segregation, private space favoritism, debilitating central city, have to do with built environments, particularly with urban sprawl and increasing congestion. They proposed various urban design prototypes. Cities, towns, and villages are constructed based on these prototypes. The purpose of this study is to understand the signification and the suggestions of New Urbanism, to find the value and application method in korean architecture, and finally to suggest sustainable future direction.
약물-질병 경로 네트워크의 구축과 비교를 통한 신약재창출
황소윤(Soyoun Hwang),황유현(Youhyeon Hwang),오민(Min Oh),윤영미(Youngmi Yoon) 한국정보기술학회 2016 한국정보기술학회논문지 Vol.14 No.9
As genome data are continuously increasing, there have been various efforts that elucidate a mechanism of drug action. However, the mechanism of drug action is still not elucidated perfectly despite various previous efforts. In this paper, we constructed drug-disease gene network based on protein-protein interaction to better understand a mechanism of drug action, and applied drug repositioning. In order to construct pathway networks for drug-disease pairs, we connected the drug target genes, drug related genes and the disease related genes respectively. We extracted critical gene networks for particular drug-disease pairs of which therapeutic indications are known. By estimating similarity between the critical gene networks and candidate networks derived from drug-disease pairs whose therapeutic effects are unknown, new drug indications were predicted. The putative drug indications significantly overlapped with those of CTD database (Fishers exact P = 7.01E-104). In performance evaluation, the prediction result showed the area under the ROC curve (AUC) of 0.7122.
개인화 알고리즘으로 필터 버블이형성되는 과정에 대한 검
전준영,황소윤,윤영미 한국멀티미디어학회 2018 멀티미디어학회논문지 Vol.21 No.3
Nowadays a personalization algorithm is gaining huge attention. It gives users selective information which is helpful and interesting in a deluge of information based on their past behavior on the internet. However there is also a fatal side effect that the user can only get restricted information on restricted topics selected by the algorithm. Basically, the personalization algorithm makes users have a narrower perspective and even stronger bias because users have less chances to get views of opponent. Eli Pariser called this problem the ‘filter bubble’ in his book. It is important to understand exactly what a filter bubble is to solve the problem. Therefore, this paper shows how much Google’s personalized search algorithm influences search result through an experiment with deep neural networks acting like users. At the beginning of the experiment, two Google accounts are newly created, not to be influenced by the Google’s personalized search algorithm. Then the two pure accounts get politically biased by two methods. We periodically calculate the numerical score depending on the character of links and it shows how biased the account is. In conclusion, this paper shows the formation process of filter bubble by a personalization algorithm through the experiment.
New Scoring System for Predicting Mortality in Patients with COVID-19
배소현,김윤정,황소윤,권기태,장현하,김신우 연세대학교의과대학 2021 Yonsei medical journal Vol.62 No.9
Purpose: We aimed to develop a novel mortality scoring system for inpatients with COVID-19 based on simple demographic factorsand laboratory findings. Materials and Methods: We reviewed and analyzed data from patients who were admitted and diagnosed with COVID-19 at 10hospitals in Daegu, South Korea, between January and July 2020. We randomized and assigned patients to the development andvalidation groups at a 70% to 30% ratio. Each point scored for selected risk factors helped build a new mortality scoring system usingCox regression analysis. We evaluated the accuracy of the new scoring system in the development and validation groups usingthe area under the curve. Results: The development group included 1232 patients, whereas the validation group included 528 patients. In the developmentgroup, predictors for the new scoring system as selected by Cox proportional hazards model were age ≥70 years, diabetes, chronickidney disease, dementia, C-reactive protein levels >4 mg/dL, infiltration on chest X-rays at the initial diagnosis, and the need foroxygen support on admission. The areas under the curve for the development and validation groups were 0.914 [95% confidenceinterval (CI) 0.891–0.937] and 0.898 (95% CI 0.854–0.941), respectively. According to our scoring system, COVID-19 mortality was0.4% for the low-risk group (score 0–3) and 53.7% for the very high-risk group (score ≥11). Conclusion: We developed a new scoring system for quickly and easily predicting COVID-19 mortality using simple predictors. This scoring system can help physicians provide the proper therapy and strategy for each patient.
성지연,김지윤,황소윤,이경현,김민정 한국융합학회 2022 한국융합학회논문지 Vol.13 No.3
To increase the added value of peaches and utilize overproduced peaches, it is necessary to develop peach raw materials in various forms. In this study, usefulness of juice as raw material for vinegar was investigated by comparing and analyzing the characteristics of the traditional fermented vinegar prepared with 4 types of juice (fresh, refrigerated, boiled and frozen puree). Sugar content (6.20∼6.50°Brix), total acidity (5.25∼5.61%), pH (3.42∼3.74), and acetic acid content (48.81∼54.29 mg/mL) of the vinegar were all similar to existing traditional fermented vinegar. However, contents of total phenol and flavonoid were higher in vinegar prepared from refrigerated and boiled juice. Therefore, it was confirmed that boiled and refrigerated juice are very suitable as raw materials for traditional fermented peach vinegar, in particular, it was confirmed that boiled juice with a high content of total phenol and flavonoid can be used as a high value-added functional material. These results are considered to be important guidelines for developing high value-added raw materials for peaches. 복숭아의 부가가치를 높이고 과잉 생산된 복숭아를 활용하기 위해서는 다양한 형태로 복숭아 원료를 개발할 필요가 있다. 본 연구에서는 4종류 즙(생과원액, 냉장생즙, 중탕즙, 냉동퓨레)으로 제조한 4종류 전통발효식초의 특성을 비교·분석하여 식초 원료로서 즙의 활용가치를 알아보았다. 본 연구에서 제조한 4종류 발효식초의 당도(6.20~6.50°Brix), 총산도(5.25~5.61%), 산도pH(3.42~3.74) 및 초산 함량(48.81~54.29 mg/mL)은 기존 전통발효식초들과 유사하였다. 그러나 총페놀 및 플라보노이드 함량은 냉장생즙 및 중탕즙으로 제조한 식초가 월등히 높은 것으로 나타났다. 따라서 복숭아 전통발효식초를 제조하기 위한 원료로 중탕즙 및 냉장생즙이 매우 적합하며, 특히 페놀 및 플라보노이드 함량이 높은 중탕즙은 고부가가치 기능성 식품 소재로도 활용 가능함을 확인하였다. 본 연구결과는 고부가가치 복숭아 원료를 개발하는데 중요한 지침이 될 것으로 사료된다.