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        SOD2와 NDPK2 유전자 집적에 의한 페튜니아의 아황산가스 저항성 증진

        이수영(Su Young Lee),천경성(Kyeong-Seong Cheon),김소영(So Young Kim),권오현(O Hyeon Kwon),이혜진(Hye Jin Lee),김원희(Won Hee Kim),유봉식(Bong Sik Yoo) 한국원예학회 2016 원예과학기술지 Vol.34 No.1

        유전자 집적에 의해 아황산가스 저항성 증진 페튜니아를 개발하고자 비생물적스트레스 저항성 유전자로 널리 알려진 SOD2 와 NDPK2유전자가 각각 도입된 SOD2 형질전환 계통 SOD2-2-1-1-35(T₄)[S(T₄)]와 NDPK2 형질전환 계통 NDPK2-7-1(T₂)[N7-1(T₂)]간 상호교잡을 실시하여 교잡 제1세대를 획득하였다. 교잡 제1세대 중 SOD2와 NDPK2유전자가 모두 집적된 개체 획득율은 32.1-73.0%이었고, SOD2와 NDPK2유전자가 모두 집적된 개체는 SOD2 또는 NDPK2유전자가 단독 도입된 개체에 비해 아황산가스 30ppm처리 피해율이 2.6-5.1배 낮아 아황산가스 저항성이 증진되었음을 확인하였다. 또한 아황산가스 저항성이 증진된 교잡 제1세대를 자가수분에 의해 세대진전 시켜 획득한 교잡 제2세대의 아황산가스 저항성 검정을 통하여 교잡 제1세대에서의 아황산가스 저항성이 후대에서도 안정적으로 발현함을 확인하였다. 또한, 광합성 효율 증진 조사를 통해 아황산가스 저항성이 증진된 SOD2와 NDPK2유전자 집적 후대가 아황산 가스에 대한 스트레스를 덜 받고 있음을 확인하였고, RT-qPCR분석을 통해 SOD2와 NDPK2유전자 집적 후대의 아황산가스 저항성 증진이 SOD2와 NDPK2 유전자 집적에 의한 효과임을 확인하였다. The aim of this study was to develop a transgenic petunia with enhanced resistance to sulfur dioxide (SO₂) gas by stacking two genes, SOD2 and NDPK2, which are both known to confer resistance to abiotic stresses. The first-generation hybrids (TF1) were obtained through reciprocal crosses between an SOD2-transgenic line SOD2-2-1-1-35(T₄)[S(T₄)] and an NDPK2- transgenic line NDPK2-7-1(T₂)[N7-1(T₂)]. Approximately 32.1-73.0% of the first-generation hybrids (TF₁) carried both SOD2 and NDPK2 genes. These hybrids showed 2.6 and 5.1 times less damage than hybrids carrying only SOD2 or NDPK2 genes, respectively, when they were treated with SO₂ gas at 30 ppm. This confirmed that the heterozygous hybrids were more resistant to SO₂ than the hybrids carrying either one of the resistance genes. Second-generation hybrids (TF₂) were obtained by selfing the TF₁ individuals. We confirmed the expression of the stacked genes in the TF₂ hybrids by phenotypic observation of their response to SO₂ gas at 30 ppm as well as using RT-qPCR and photosynthetic efficiency.

      • 약물의 폐 전달을 위한 염화 벤제토늄 기반 리포좀의 제조 및 평가

        문용현, 유소열, 안지선, 이한솔, 김혜림, 이은주, 이재영 충남대학교 약학대학 의약품개발연구소 2021 藥學論文集 Vol.36 No.-

        Benzethonium chloride-containing egg phosphatidylcholine-based liposomes (BC/EPC-LIPOs) were developed for lung-targeted drug delivery. BC/EPC-LIPOs were fabricated via thin-film hydration method with various BC-to-EPC molar ratios of 1:4 (F1), 1:1 (F2), and 4:1 (F3). Cyanine5.5 (Cy5.5) was loaded as a fluorescent probe for the biodistribution study during the film-forming step. BC/EPC-LIPOs were evaluated by using dynamic light scattering analysis, where the mean diameter and zeta-potential values of F1, F2, and F3 were observed to be 69.5 ± 3.1 nm and 50.06 ± 1.00 mV, 59.0 ± 2.3 nm and 51.30 ± 2.98 mV, and 694.2 ± 243.3 nm and 55.01 ± 3.16 mV, respectively. To evaluate the lung distribution efficiency of the developed liposomes, F1 and F2, which possess suitable particle sizes for the intravenous administration, were injected into the tail vein of ICR mice. At 6 h post-injection, the lung, liver, kidney, heart, spleen, and brain were dissected, and the radiant efficiency (RE) values of the or- gans were measured using the near-infrared fluorescence imaging method. The lung RE value of F2 was 1.69-fold higher than that of F1, indicating a more efficient lung targetability of F2. This phenomenon can be attributed to the higher content of BC in F2 than F1. Considering the lung-targetability, as well as the biocompatible natures of BC and EPC, the developed BC/EPC-LIPOs can be used as an efficient lung-targeted drug delivery system.

      • 당뇨병과 동반된 화농성 간농양의 임상상 및 예후인자

        오은숙,강무일,이원영,오기원,임동준,이소영,이정민,고승현,김성래,안유배,손현식,윤건호,차봉연,이광우,손호영,강성구 대한당뇨병학회 2000 임상당뇨병 Vol.1 No.1

        연구배경: 감염질환은 혈관질환과 함께 당뇨병의 중요한 사망원인의 하나이며, 혈당조절이 불량할수록 감염 빈도가 증가됨은 잘 알려져 있다. 간농양의 발생이 있어서도 당뇨병은 중요한 기저질환 중의 하나이다. 일반적으로 간농양의 가장 흔한 원인균은 Escherichi coli라고 알려져 있으나, 최근 당뇨병을 가진 간농양 환자에서 Klesiella pneumoniae의 검출이 증가되고 있다. 또 최근 연구에 의하면 K.pneumonie가 간농양의 가장 흔한 원인균이며, K. pneumoniae에 의한 간농양은 K.pneumoniae 이외의 균주에 의한 간농양보다 당뇨병과 밀접히 관련되어 있다고 보고된 바 있다. 이에 저자들은 간농양 환자를 대상으로 당뇨병환자의 빈도를 알아보고, 그 원인균 및 특징을 비당뇨병 환자들의 경우와 비교해 보고자 하였다. 방법: 1992년 1월부터 1999년 6월까지 방사선학적 검사 혹은 수술에 의해 간농양이 확인되거나, 경피적 천자나 수술을 통한 배농액 배양, 혹은 혈액 검사에서 원인균이 증명된 182명의 환자를 대상으로 후향적 임상고찰을 실시하였다. 결과: 화농성 농양을 가진 167명의 환자(남:94명, 여:73명)중 당뇨병을 가진 환자는 54명 (남:30명, 여:24명)으로 32.3%를 차지하였다. 환자의 평균나이는 당뇨군에서 62.1 ± 13.4세, 비당뇨군에서는 55.1 ±15.5세로 당뇨군에서 높았으며(p=0.0021), 남녀간의 평균나이 비교 시 두 군 모두 여성의 나이가 의미있게 높았다. 비당뇨군에 비하여 당뇨군의 경우 저알부민혈증의 빈도와 aspartate transaminase가 증가되어있었다. 원인균주는 K. pneumoniae (당뇨군54%, 비당뇨군 39.1%), E. coli(당뇨군 17.5%, 비당뇨군 18.8%), Pseudomonas aeruginosa, Streptococcus viridans, Enterococcus 순이었으며 두 군간의 의미는 차이는 없었으나 K. pneumoniae의 경우 다른 균종에 비해 단독감염의 빈도가 높았다(82.8%). 사망률은 당뇨군에서 16.7%, 비당뇨군에서 7.1%로 당뇨군에서 의미있게 높았으며(p=0.019), 당뇨군에서의 사망환자는 모두 패혈증이 동반되어 있었다. 당뇨환자의 사망군은 생존군에 비해 당뇨병 이환기간이 길고 혼합감염의 빈도가 높았다(p=0.046). 검사실 소견에서는 총 빌리루빈 및 알카리성 포스파타제의 증가가 관찰되어 있었다. 결론: E. coli가 간농양의 주된 원인균이라는 기존 보고와는 달리 당뇨군과 비당뇨군 모두 K. pneumoniae가 간농양의 주된 원인균이었다. 또한 당뇨 유병기간이 길고 당뇨조절이 불량한 환자에서 혼합감염이며 총 빌리루빈 및 알카리성 포스파타제의 증가등과 같은 위험인자가 존재할 경우 사망률이 증가될 수 있으므로 이들 군에서는 적극적인 치료가 필요할 것으로 사료된다. Background: Liver abscesses are commonly associated with underlying disease, particularly diabete mellitus. The number of the liver abscesses caused by Klebslella pneumoniae in diabetic patient has been increased in Korea nowadays. This study was conducted to clarify the clinical presentation and prognostic factors of pyogenic liver abscesses, especially in diabetic patients and to determine the proportion of K. pneunomiae as a pathogen in liver abscess in Korea. Methods: Medical records of 167 patients treated for pyogenic liver abscess from January, 1992 through June, 1999 were reviewed retrospectively in detail. Major Pathogenic organism, clinical manifestations, prognostic factors, the importance of diabetes mellilus as an underlying disease and its effect on clinical features and prognosis were analyzed. Results: Among 167 cases of pyogenic liver abscess, underlying diabetes mellitus was present in 32.3%. The mean age of patients was 62.7 13.4 years in diabetic liver abscess group and 55.1 15.5 years in non-diabetic liver abscess group. Most liver abscesses were cryptogenic in origin or secondary to the billary tree diseases. The clinical presentations among the two groups were not significantly different. When compared to patients without diabetes, patients with diabetes had significantly higher proportions of hypoalbuminemia and elevated aspartate transaminase level. The most common organism of the pyogenic abscess was K. pneumoniae in both groups. Percutaneous drainage of the abscess with appropriate antibiotics was the most commonly used therapeutic modality in liver abscess. The mortality rate of diabetic liver abscess is 16.1 % and 7.1% in nondiabetic liver abscess. Complications, especially septicemla, were found more frequently in patients with diabetes than in patients without diabetes (64.8% vs 28.3%, septicemia : 31.5% vs 9.7%). The factors influencing mortality in the diabetic liver abscess were disease duration, mixed infection, presence of septicemia, elevated bilirubin and alkaline phosphatase. Conclusions: In contrast to prior report that the E. coli was the most common pathogen in liver abscess, we found that K. pneumoniae was the most common organism cultured in liver abscess. Diabetic patients have more complications and higher mortality than patients without diabetes. Early detection and proper treatment are needed to improve the outcome for diabetic patient with liver abscess.

      • Classification of three categories from prefrontal cortex using LSTM networks: fNIRS study

        So-Hyeon Yoo,Seong-Woo Woo,Zafar Amad 제어로봇시스템학회 2018 제어로봇시스템학회 국제학술대회 논문집 Vol.2018 No.10

        In the conventional neuroscience studies using functional near infrared spectroscopy (fNIRS), the region of interest (ROI) needs to be investigated. In this paper, to reduce the classification and processing time without classification accuracy loss, we have investigated the use of a long short-term memory (LSTM) networks in the fNIRS data analysis. Three mental tasks including mental arithmetic, mental counting, and puzzle solving were performed to obtain fNIRS data from the prefrontal cortex. To validate our proposed method, we have compared our method with the conventional classifiers, that is, linear discriminant analysis (LDA) and support vector machine (SVM), and feature extraction methods. Using the conventional methods, the averaged classification accuracies were 37.50 % with LDA and 37.96 % with SVM. However, in the case of LSTM, the maximum classification accuracy was 83.3 %. The results show that LSTM networks can be used as a fNIRS classifier. Also, our results represent the possibility of online classification in fNIRS studies, which does not need the t-test process using the expected hemodynamic response.

      • Analysis of Phylogenetic Relationship in Platycodon grandiflorum using RAPD Molecular Marker

        Jemin Yoo,So Hyeon Park,Yurry Um,Yi Lee 한국육종학회 2015 한국육종학회 심포지엄 Vol.2015 No.07

        Platycodon grandiflorum is a perennial herbal plant belongs to Campanulaceae family. It has very important genetic value as a major plant in Asterids order. The major ingredients are platycosides, terpenoid saponins. In Korean industrial plants market, it was produced 5,633 tons in 2013, and the total amount of production was less than only five species, omija, ginger, raspberry, yam and deodeok. P. grandiflorum is called ‘Gilgyung’ and is used as a fresh vegetable and an ornamental plant. Nowadays, various components of P. grandiflorum were already published. But, genetic research is in the starting stage. In this study, 11 cultivars; 1. MariesⅡ, 2. Hakone double white, 3. Hakone double blue, 4. Fuji white, 5. Fuji pink, 6. Fuji blue, 7. Astra white, 8. Astra pink, 9. Astra blue, 10. Astrasemi double blue, 11. Jangback, were analyzed using 60 Operon Universal RAPD primers. The results were phylogenetically analyzed and related to the morphological characteristics of the cultivars.

      • Forecasting Mail Traffic by Applying Machine Learning and STL

        So Yeon Woo,Deok Ho An,Da Woon Jeong,Yeong Hyeon Gu,Seong Joon Yoo 한국차세대컴퓨팅학회 2021 한국차세대컴퓨팅학회 학술대회 Vol.2021 No.11

        The postal service sector uses machine learning to forecast delivery time and customer traffic. Studies on postal logistics forecasting have used various machine learning algorithms, but there were no attempts using Seasonal and Trend Decomposition using Loess (STL) decomposition, which is frequently used in other fields of time series forecasting. Therefore, this paper proposes a method of applying optimal STL decomposition cycles using the machine learning models of prior studies and the latest machine learning models. First, the proposed method decomposes the daily traffic using STL decomposition to generate three variables (Trend, Seasonal, and Residual). These variables are added to the existing input data variable to train the machine learning model. Finally, a suitable STL decomposition cycle for the model is selected to derive an optimal model. The proposed method was validated by creating nine machine learning (AdaBoost Regression, Random Forest Regression, Ridge, etc.) and two deep learning (DNN, LSTM) models and testing them. As a result, the application of STL decomposition reduced the forecast errors in all models except LSTM. In terms of the proposed method, linear regression had the lowest forecast error, and LSTM had the highest.

      • SCOPUSKCI등재

        Levels of Partnership between Nurses and Parents of Hospitalized Children and the Quality of Pediatric Nursing Care as Perceived by Nurses

        Yoo, So Yeon,Cho, Haeryun,Kim, Yae Young,Park, Ji Hyeon Korean Academy of Child Health Nursing 2020 Child Health Nursing Research Vol.26 No.1

        Purpose: This study investigated the relationship of the partnership between nurses and parents of hospitalized children with the quality of pediatric nursing care as perceived by pediatric nurses. Methods: A cross-sectional descriptive study was conducted among 90 nurses. The data collected were analyzed using the independent t-test and the Pearson correlation coefficient. Results: The level of partnership between nurses and parents showed significant differences by nurses' age (t=2.22, p=.029) and marital status (t=2.54, p=.013). The quality of pediatric nursing care was found to significantly differ by the nurses' age (t=2.62, p=.013), marital status (t=4.17, p<.001), whether nurses had children (t=2.53, p=.020), pediatric ward work experience (t=2.43, p=.020), and total work experience (t=2.51, p=.016). The level of partnership between nurses and parents was positively correlated with the quality of pediatric nursing care (r=.48, p<.001). Conclusion: To improve the quality of nursing care for hospitalized children and their parents, it is important to consider the specific characteristics of pediatric nurses, whose clinical skills should be improved.

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