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화재이론에 기초한 천장재 종류별 위험성 분석에 관한 연구
김혜원 ( Kim¸ Hyewon ),김윤성 ( Kim¸ Yunseong ),이병흔 ( Lee¸ Byeongheun ),진승현 ( Jin¸ Seunghyeon ),구인혁 ( Koo¸ Inhyuk ),권영진 ( Kwon¸ Youngjin ) 한국건축시공학회 2021 한국건축시공학회 학술발표대회 논문집 Vol.21 No.2
In general, when a building fire occurs, the heat flow rises by buoyancy, which affects the temperature rise of the ceiling. In addition, when the ceiling ignites, the fire spreads rapidly due to horizontal spread and radiant heat. According to the fire investigation, most of the large fires have a common characteristic that the fire spreads to the ceiling and causes many casualties. Therefore, it is considered that it is necessary to review the fire risk of ceiling materials used in buildings to prevent the spread of fire to the ceiling. Therefore, in this study, combustion characteristics such as the amount of heat released and ignition time of each SMC, DMC, and gypsum board were checked using a Cone Calorimeter, and the ignition temperature was calculated by substituting them into the fire theory. As a result, the ignition temperature of SMC was 449K, that of DMC was 1492K, and that of gypsum board was 677K.
A Genetically Encoded Biosensor for the Detection of Levulinic Acid
Kim Tae Hyun,Woo Seung-Gyun,Kim Seong Keun,Yoo Byeong Hyeon,Shin Jonghyeok,Rha Eugene,Kim Soo Jung,Kwon Kil Koang,Lee Hyewon,Kim Haseong,Kim Hee-Taek,Sung Bong-Hyun,Lee Seung-Goo,Lee Dae-Hee 한국미생물·생명공학회 2023 Journal of microbiology and biotechnology Vol.33 No.4
Levulinic acid (LA) is a valuable chemical used in fuel additives, fragrances, and polymers. In this study, we proposed possible biosynthetic pathways for LA production from lignin and poly(ethylene terephthalate). We also created a genetically encoded biosensor responsive to LA, which can be used for screening and evolving the LA biosynthesis pathway genes, by employing an LvaR transcriptional regulator of Pseudomonas putida KT2440 to express a fluorescent reporter gene. The LvaR regulator senses LA as a cognate ligand. The LA biosensor was first examined in an Escherichia coli strain and was found to be non-functional. When the host of the LA biosensor was switched from E. coli to P. putida KT2440, the LA biosensor showed a linear correlation between fluorescence intensity and LA concentration in the range of 0.156–10 mM LA. In addition, we determined that 0.156 mM LA was the limit of LA detection in P. putida KT2440 harboring an LA-responsive biosensor. The maximal fluorescence increase was 12.3-fold in the presence of 10 mM LA compared to that in the absence of LA. The individual cell responses to LA concentrations reflected the population-averaged responses, which enabled high-throughput screening of enzymes and metabolic pathways involved in LA biosynthesis and sustainable production of LA in engineered microbes.
Kim, Young Il,Kim, Kyung Won,Lee, Han Kyu,Park, Jisuk,Chung, Jin Wook,Youn, Hyewon,Kim, Soo Jin,Kim, Dal-Hyun,Tseng, Jen-Chieh,Lee, Jeong Min Potamitis Press 2014 Anticancer research Vol.34 No.4
<P>To evaluate the anticancer efficacy of CKD-516, a novel vascular-disrupting agent, alone and in combination with doxorubicin in the treatment of hepatocellular carcinoma (HCC).</P>
Clinical Characteristics and Neurologic Outcomes of X-Linked Myotubular Myopathy
Hyewon Woo,Seungbok Lee,Ji Yeon Han,Woo Joong Kim,Man Jin Kim,Moon-Woo Seong,Soo Yeon Kim,Anna Cho,Byung Chan Lim,Ki Joong Kim,Jong-Hee Chae 대한소아신경학회 2022 대한소아신경학회지 Vol.30 No.3
Purpose: X-linked myotubular myopathy (XLMTM) is a rare condition of centronuclear myopathy caused by myotubularin 1 (MTM1) mutations. Patients with XLMTM show different neurodevelopmental outcomes after the neonatal period depending on age and acquired hypoxic damage. We aim to evaluate the clinical characteristics and neurodevelopmental outcomes of patients with XLMTM who were followed up at a single center. It is essential to understand the volume and conditions to prepare for being a candidate for new therapeutic strategies. Methods: Patients diagnosed with centronuclear myopathy by muscle pathology and MTM1 mutation analysis were included. We retrospectively investigated motor milestones, communication skills, and bulbar and respiratory function in the patients. The patients were categorized into two groups: with and without hypoxic insults (HI). Results: All 13 patients were severely affected by neonatal hypotonia and required respiratory support and a feeding tube during the neonatal period. The follow-up duration was 4.4 years (range, 0.3 to 8.9). In the non-HI group, developmental milestones were delayed but were slowly achieved. Some patients underwent training in oral feeding with thickened foods and weaning from ventilation. Patients with HI showed poor motor function catch-up and communication skills. Three deaths were associated with acute respiratory failure. Conclusion: Patients with XLMTM without HI can survive long-term with the slow achievement of motor milestones and bulbar and respiratory function. However, hypoxic brain damage following acute respiratory failure negatively influences their developmental potential or even lead to death. Therefore, parental education for proper respiratory management is necessary, especially for young children.
Kim, Baek-Jun,Kim, Su-Jin,Kang, Jun-Gu,Ko, Sungjin,Won, Sohyun,Kim, Hyewon,Kim, Heung-Chul,Kim, Myung-Soon,Chong, Sung-Tae,Klein, Terry A,Lee, Sanghun,Chae, Joon-Seok Mary Ann Liebert, Inc 2013 Vector borne and zoonotic diseases Vol.13 No.7
<P>Rodents and soricomorphs are animal hosts of fleas and associated zoonotic microbial pathogens. A total of 4,889 small mammals were collected from Gyeonggi and Gangwon Provinces, Republic of Korea, from 2008 through 2010, including: Apodemus agrarius (4,122, 84.3%), followed by Crocidura lasiura (282, 5.8%), Microtus fortis (257, 5.3%), Myodes regulus (77, 1.6%), Micromys minutus (71, 1.5%), Mus musculus (63, 1.3%), and 4 other species (17, 0.3%). A total of 1,099 fleas belonging to 10 species and 7 genera were collected. Ctenophthalmus congeneroides (724, 65.9%) was the most commonly collected flea, followed by Stenoponia sidimi (301, 27.4%), Neopsylla bidentatiformis (29, 2.6%), and Rhadinopsylla insolita (25, 2.3%). The remaining species accounted for only 1.8% (20, range 1-6) of all fleas collected. The 2 dominant flea species, C. congeneroides and S. sidimi, showed an inverse seasonal pattern, with higher populations of C. congeneroides from January-September, whereas S. sidimi was more frequently collected during October-December. The overall flea infestation rates (FIR) and flea indices (FI) were 14.1% and 0.22, respectively, and were highest during April-June (19.7% and 0.30, respectively). A total of 735 of the 1,099 fleas were assayed for the detection of Bartonella spp. by PCR using Bartonella-specific primers, of which 515 were positive for Bartonella, with an overall maximum likelihood estimate (MLE) of 700.7/1,000. The highest MLE values were observed during April-June (899.2) and July-September (936.2) trapping periods and, although lower, were similar for January-March (566.7) and October-December (574.1). C. congeneroides demonstrated high MLEs for all seasons (range 752.5-934.8), while S. sidimi was positive for Bartonella only during January-March (MLE=342.1) and October-December (MLE=497.2) collection periods. Continued long-term surveillance of small mammals and associated ectoparasites is needed to improve our understanding of the prevalence of Bartonella spp. in fleas and the role of fleas in the zoonotic maintenance and transmission of Bartonella to humans.</P>
Kim, Hyeongmin,Ro, Jieun,Barua, Sonia,Hwang, Deuk Sun,Na, Seon-Jeong,Lee, Ho Sung,Jeong, Ji Hoon,Woo, Seulki,Kim, Hyewon,Hong, Bomi,Yun, Gyiae,Kim, Joong-Hark,Yoon, Young-Ho,Park, Myung-Gyu,Kim, Jia,S The Korean Society of Pharmacology 2015 The Korean Journal of Physiology & Pharmacology Vol.19 No.6
We investigated the combined moisturizing effect of liposomal serine and a cosmeceutical base selected in this study. Serine is a major amino acid consisting of natural moisturizing factors and keratin, and the hydroxyl group of serine can actively interact with water molecules. Therefore, we hypothesized that serine efficiently delivered to the stratum corneum (SC) of the skin would enhance the moisturizing capability of the skin. We prepared four different cosmeceutical bases (hydrogel, oil-in-water (O/W) essence, O/W cream, and water-in-oil (W/O) cream); their moisturizing abilities were then assessed using a $Corneometer^{(R)}$. The hydrogel was selected as the optimum base for skin moisturization based on the area under the moisture content change-time curves (AUMCC) values used as a parameter for the water hold capacity of the skin. Liposomal serine prepared by a reverse-phase evaporation method was then incorporated in the hydrogel. The liposomal serine-incorporated hydrogel (serine level=1%) showed an approximately 1.62~1.77 times greater moisturizing effect on the skin than those of hydrogel, hydrogel with serine (1%), and hydrogel with blank liposome. However, the AUMCC values were not dependent on the level of serine in liposomal serine-loaded hydrogels. Together, the delivery of serine to the SC of the skin is a promising strategy for moisturizing the skin. This study is expected to be an important step in developing highly effective moisturizing cosmeceutical products.
트위터의 실시간 트렌드에서 해시태그 추천을 개선하기 위한 해시태그 분류기법
김혜원(Hyewon Kim),김형주(Hyoung-Joo Kim),김기성(Kisung Kim) 한국정보과학회 2012 정보과학회 컴퓨팅의 실제 논문지 Vol.18 No.11
본 논문에서는 트위터의 해시태그 추천을 개선하기 위한 해시태그 분류 기법을 제안한다. 트위터의 해시태그에는 그 특성과 사용된 의도가 분명하게 다른 두 가지 유형이 있다. 하나는 사용자들에게 정보를 주기 위해 사용되는 정보 제공형 해시태그이고 다른 하나는 사용자들이 해시태그를 사용하게끔 유도하는데 사용되는 참여 유도형 해시태그이다. 우리가 해시태그의 유형을 분류할 수 있다면 현재 트위터의 실시간 트렌드에서 사용되는 해시태그 추천 결과를 풍성하게 해줄 수 있을 것이다. 이에 본 논문에서는 나이브 베이지안 분류 기법을 이용해 해시태그를 분류하는 방법을 제안한다. 이를 위해 해시태그를 포함하는 트윗들을 분석하여 분류 조건을 만들었다. 또한, 실제 트위터 데이터를 이용한 실험을 통해 본 논문에서 제안한 분류 기법의 정확도를 보였고 각 분류 조건들의 효과에 대해 분석했다. In this paper, we suggest a hashtag classification method for improving hashtag recommendation in Twitter. There are two types of hashtags with different characteristics and intentions. One is an informative hashtag used to provide users with information and the other is a meme hashtag used to induce users to participate in micro-meme. If we could classify the types of hashtags automatically, we can improve the result of hashtag recommendation in trending topics of Twitter. To address this concern, we propose a method for classification of the hashtags using Bayesian classification approach. We propose several measures for classification through analysis of tweets having hashtags. Also, we show the effectiveness of our approach through experiments using real-life twitter data, and analyze the effects of our measures.