잔해로서의 예술 : 장-뤽 낭시의 숭고를 향하여

현지연 현대미술학회 2022 현대미술학 논문집 Vol.26 No.1

낭시는 숭고와 예술의 문제를 ‘봉헌’과 ‘제시 자체의 제시’의 문제로 전환시킴으로써 그것이 철학으로 지양되는 것을 중지시키고, 숭고의 문제를 존재론의 영역으로 이동시켰다. 자유 안에서 유지되는 봉헌은 매번 경계를 긋고 그것을 여는 탈경계의 움직임, 선물을 주고받지만, 매 순간 스스로를 내맡기면서 실존의 자리를 내는 몸짓이다. 숭고한 봉헌과 함께 예술이 도래한다. 숭고한 봉헌은 현전과 부재, 이미지와 관념 사이에서 예술의 한계에 경련을 일으키는 움직임, 예술의 경계를 여는 가능성이다. 도래하는 예술은 잔해와도 같다. 잔해로서의 예술은 이미지와 관념의 형이상학적 관계가 소진된 후 남는 나머지, 실존의 자리에서 발생하는 발걸음, 감각적인 이행과 ‘전송’이고, 봉헌으로, 떨림과 박동으로, 숨결로 일어나는 공간 내기이다. Nancy’s thinking on sublime and art can be qualified with the term ‘offering’ and ‘presentation of presentation itself’. Nancy is seeking to interrupt the sublation of art by philosophy and to locate the question of sublime and art in the ontological dimension. The offering is the unlimited’s movement which draws and opens the limit each time, and the gesture which ex-poses the existence. This is an experience of freedom and existence abandoned toward the world. The sublime offering for Nancy occurs at the limit of art. It touches and opens the limit of art between presence and absence, between image and Idea. With the sublime offering an art comes singularly. The art to come is like the vestige. The art as vestige can be thought as the remainder after the metaphysical relation of image and Idea is exhausted and as the space that takes place in subtle trembling, syncopated beating, and breathing.

Evaluation of PCR inhibitory effect of enrichment broths and comparison of DNA extraction methods for detection of Salmonella Enteritidis using real-time PCR assay

현지연,황인균,Hyo-Sun Kwak,Chankyu Park,최인수,서건호 대한수의학회 2010 Journal of Veterinary Science Vol.11 No.2

The best enrichment broth and DNA extraction scheme was determined for rapid and sensitive detection of Salmonella Enteritidis in steamed pork using real-time PCR. The inhibitory effect of commonly used Salmonella enrichment broths, Rappaport-Vassiliadis (RV) and Muller-Kauffmann tetrathionate with novobiocin (MKTTn), on real-time PCR was confirmed. The inhibition of PCR was statistically significant (p < 0.05) in RV and MKTTn, as compared with buffered peptone water (BPW) or phosphate-buffered saline. The inhibitory effect of the selective enrichment media was successfully removed by using a modified DNA extraction, PrepMan Ultra Reagent with an additional washing step or the DNeasy Tissue Kit. In three experiments, when applied to detection of Salmonella Enteritidis in steamed pork, the real-time PCR coupled with single 24 h enrichment with BPW performed better than double 48 h enrichment with BPW plus RV or MKTTn. The simple real-time PCR assay using BPW proved to be a rapid and sensitive test for detection of low concentrations of Salmonella Enteritidis in steamed pork samples as compared with the conventional culture method.

사단법인 한국범보전기금

현지연 한국생태환경사학회 2019 생태환경과역사 Vol.- No.5

중국 동북부지역 답사기 -겨울 야생동물 생태조사 현황-

현지연 한국생태환경사학회 2015 생태환경과역사 Vol.- No.1

SURFACE PASSIVATION AND ANNEALING EFFECT

현지연,배수현,이창현,강동균,이상원 한국진공학회 2020 한국진공학회 학술발표회초록집 Vol.2020 No.2

평점과 리뷰 텍스트 감성분석을 결합한 추천시스템 향상 방안 연구

현지연,유상이,이상용 한국지능정보시스템학회 2019 지능정보연구 Vol.25 No.1

As the importance of providing customized services to individuals becomes important, researches on personalized recommendation systems are constantly being carried out. Collaborative filtering is one of the most popular systems in academia and industry. However, there exists limitation in a sense that recommendations were mostly based on quantitative information such as users' ratings, which made the accuracy be lowered. To solve these problems, many studies have been actively attempted to improve the performance of the recommendation system by using other information besides the quantitative information. Good examples are the usages of the sentiment analysis on customer review text data. Nevertheless, the existing research has not directly combined the results of the sentiment analysis and quantitative rating scores in the recommendation system. Therefore, this study aims to reflect the sentiments shown in the reviews into the rating scores. In other words, we propose a new algorithm that can directly convert the user 's own review into the empirically quantitative information and reflect it directly to the recommendation system. To do this, we needed to quantify users' reviews, which were originally qualitative information. In this study, sentiment score was calculated through sentiment analysis technique of text mining. The data was targeted for movie review. Based on the data, a domain specific sentiment dictionary is constructed for the movie reviews. Regression analysis was used as a method to construct sentiment dictionary. Each positive / negative dictionary was constructed using Lasso regression, Ridge regression, and ElasticNet methods. Based on this constructed sentiment dictionary, the accuracy was verified through confusion matrix. The accuracy of the Lasso based dictionary was 70%, the accuracy of the Ridge based dictionary was 79%, and that of the ElasticNet (α = 0.3) was 83%. Therefore, in this study, the sentiment score of the review is calculated based on the dictionary of the ElasticNet method. It was combined with a rating to create a new rating. In this paper, we show that the collaborative filtering that reflects sentiment scores of user review is superior to the traditional method that only considers the existing rating. In order to show that the proposed algorithm is based on memory-based user collaboration filtering, item-based collaborative filtering and model based matrix factorization SVD, and SVD ++. Based on the above algorithm, the mean absolute error (MAE) and the root mean square error (RMSE) are calculated to evaluate the recommendation system with a score that combines sentiment scores with a system that only considers scores. When the evaluation index was MAE, it was improved by 0.059 for UBCF, 0.0862 for IBCF, 0.1012 for SVD and 0.188 for SVD ++. When the evaluation index is RMSE, UBCF is 0.0431, IBCF is 0.0882, SVD is 0.1103, and SVD ++ is 0.1756. As a result, it can be seen that the prediction performance of the evaluation point reflecting the sentiment score proposed in this paper is superior to that of the conventional evaluation method. In other words, in this paper, it is confirmed that the collaborative filtering that reflects the sentiment score of the user review shows superior accuracy as compared with the conventional type of collaborative filtering that only considers the quantitative score. We then attempted paired t-test validation to ensure that the proposed model was a better approach and concluded that the proposed model is better. In this study, to overcome limitations of previous researches that judge user’s sentiment only by quantitative rating score, the review was numerically calculated and a user’s opinion was more refined and considered into the recommendation system to improve the accuracy. The findings of this study have managerial implications to recommendation system developers who need to consider both quantitative information and qualitative infor... 개인에게 맞춤형 서비스를 제공하는 것이 중요해지면서 개인화 추천 시스템 관련 연구들이 끊임없이 이루어지고 있다. 추천 시스템 중 협업 필터링은 학계 및 산업계에서 가장 많이 사용되고 있다. 다만 사용자들의 평점 혹은사용 여부와 같은 정량적인 정보에 국한하여 추천이 이루어져 정확도가 떨어진다는 문제가 제기되고 있다. 이와같은 문제를 해결하기 위해 현재까지 많은 연구에서 정량적 정보 외에 다른 정보들을 활용하여 추천 시스템의성능을 개선하려는 시도가 활발하게 이루어지고 있다. 리뷰를 이용한 감성 분석이 대표적이지만, 기존의 연구에서는 감성 분석의 결과를 추천 시스템에 직접적으로 반영하지 못한다는 한계가 있다. 이에 본 연구는 리뷰에 나타난감성을 수치화하여 평점에 반영하는 것을 목표로 한다. 즉, 사용자가 직접 작성한 리뷰를 감성 수치화하여 정량적인 정보로 변환해 추천 시스템에 직접 반영할 수 있는 새로운 알고리즘을 제안한다. 이를 위해서는 정성적인 정보인 사용자들의 리뷰를 정량화 시켜야 하므로, 본 연구에서는 텍스트 마이닝의 감성 분석 기법을 통해 감성 수치를산출하였다. 데이터는 영화 리뷰를 대상으로 하여 도메인 맞춤형 감성 사전을 구축하고, 이를 기반으로 리뷰의감성점수를 산출한다. 본 논문에서 사용자 리뷰의 감성 수치를 반영한 협업 필터링이 평점만을 고려하는 전통적인 방식의 협업 필터링과 비교하여 우수한 정확도를 나타내는 것을 확인하였다. 이후 제안된 모델이 더 개선된방식이라고 할 근거를 확보하기 위해 paired t-test 검증을 시도했고, 제안된 모델이 더 우수하다는 결론을 도출하였다. 본 연구에서는 평점만으로 사용자의 감성을 판단한 기존의 선행연구들이 가지는 한계를 극복하고자 리뷰를수치화하여 기존의 평점 시스템보다 사용자의 의견을 더 정교하게 추천 시스템에 반영시켜 정확도를 향상시켰다. 이를 기반으로 추가적으로 다양한 분석을 시행한다면 추천의 정확도가 더 높아질 것으로 기대된다.

Rating control을 통한 추천시스템 정확도 향상

현지연,유상이,이상용 한국지능정보시스템학회 2018 한국지능정보시스템학회 학술대회논문집 Vol.2018 No.11

Filtration과 Integrated Cell Culture/Real-Time Reverse Transcription PCR 기법을 이용한 채소류에서 Human Rotavirus 신속 검출

현지연,천정환,송광영,황인균,곽효선,이정수,김무상,이중복,서건호,Hyeon, Ji-Yeon,Chon, Jung-Whan,Song, Kwang-Young,Hwang, In-Gyun,Kwak, Hyo-Sun,Lee, Jung-Soo,Kim, Moo-Sang,Lee, Jung-Bok,Seo, Kun-Ho 한국미생물학회 2011 미생물학회지 Vol.47 No.2

본 연구는 human rotavirus (HRV)의 검출법을 최적화하기 위해 real-time RT-PCR과 세포 배양법을 이용하여 여러 가지 탈리 농축법을 비교 및 평가하는 것을 목적으로 하였다. 채소류 중 배추, 상추, 깻잎을 선정하여 바이러스 희석액을 접종하고 탈리액 비교를 위하여 buffer A (100 mM Tris-HCl, 50 mM glycine, 3% beef extract, pH 9.5)와 buffer B (250 mM Threonine, 300 mM NaCl, pH 9.5)를 이용하여 탈리하였고, 농축방법을 비교하기 위하여 PEG (polyethylene glycol) 침전법 또는 filtration [Nanoceram filter$^{(R)}$ (Argonide corporation)]을 이용하여 농축하였다. 또한 바이러스의 감염성 평가를 위하여 MA-104 cell을 배양하여 탈리, 농축 방법을 거쳐 회수된 HRV를 접종하고 1, 48, 72, 96, 120, 144, 168시간 후 세포를 수거하여 real-time RT-PCR을 시행하고 세포병변을 관찰하였다. 탈리 용액은 buffer A가 회수율 29.54%로 buffer B의 18.32%보다 더 뛰어난 탈리효과를 보였으며 농축방법을 비교했을 때 filtration 방법이 회수율 51.89%를 나타내며 PEG 침전법에 비해서 바이러스의 농축에 효과적이었으며 검출 소요시간이나 간단한 과정 면에서 효율적이었다. ICC/real-time RT-PCR을 시행하였을 때 세포병변 72시간 후부터 나타나기 시작했지만 Ct value는 48시간부터 감소하기 시작하여 더 빠른 시간 내에 감염성을 평가할 수 있었다. 따라서, filtration과 integrated/cell culture real-time RT-PCR을 이용하면 기존의 검출방법보다 빠른 시간 내에 바이러스 검출이 가능할 것으로 여겨진다. The purpose of this study was to evaluate and compare different elution and concentration methods for optimization of human rotavirus (HRV) detection method using real-time RT-PCR and cell culture techniques. The leafy vegetable samples (lettuce, Chinese cabbage) were artificially inoculated with HRV. Viruses were extracted from the vegetables by two different elution buffers, buffer A (100 mM Tris-HCl, 50 mM glycine, 3% beef extract, pH 9.5) and buffer B (250 mM Threonine, 300 mM NaCl, pH 9.5), and the extracted viruses were concentrated by filtration and PEG precipitation sequentially. To determine infectivity of the viruses, the viruses recovered from the samples were infected to the MA-104 cells, and integrated cell culture real-time RT-PCR was performed at 1, 48, 72, 96, 120, 144, 168 h post-infection (p.i.). The elution buffer A was more efficient in extracting the virus from the produce samples tested than the buffer B, 29.54% and 18.32% of recoveries, respectively. The sensitivity of real-time RT-PCR method was markedly improved when the virus was concentrated by the filtration method. When the viruses were eluted and concentrated by buffer A and filtration, respectively, the average recovery rate was approximately 51.89%. When the viruses recovered from samples were infected to MA-104 cell, infectious HRV was detected within 48 h p.i. by ICC/real-time RT-PCR, whereas cytopathic effects were not observed until 72 h p.i. The optimized detection method evaluated in this study could be useful for rapid and reliable detection of HRV in fresh produce products and applied for detection of other food-borne viruses.

NanoString nCounter® Approach in Breast Cancer: A Comparative Analysis with Quantitative Real-Time Polymerase Chain Reaction, In Situ Hybridization, and Immunohistochemistry

현지연,조수연,홍민의,강소영,도인구,임영혁,조은윤 한국유방암학회 2017 Journal of breast cancer Vol.20 No.3

Purpose: Accurate testing for estrogen receptor (ER), progesterone receptor (PR), and human epidermal growth factor receptor 2 (HER2) is essential for breast cancer treatment. At present, immunohistochemistry (IHC)/florescence in situ hybridization (FISH) are widely accepted as the standard testing methods. To investigate the value of NanoString nCounter®, we performed its comparative analysis with IHC/FISH and real-time quantitative reverse transcription polymerase chain reaction (qRT-PCR) for the assessment of ER, PR, and HER2. Methods: Data on IHC/FISH results for ER, PR, and HER2 in 240 patients from a single tertiary hospital in Korea were collected and compared with NanoString nCounter® and qRT-PCR results at a single institution. Results: Expression levels for each gene using NanoString nCounter® showed good correlation with the corresponding data for protein expression by IHC (p<0.001) and gene amplification status for HER2 (p<0.001). Comparisons between gene expression and IHC data showed good overall agreement with a high area under the curve (AUC) for ESR1/ER (AUC=0.939), PgR/PR (AUC= 0.796), and HER2/HER2 (AUC=0.989) (p<0.001). Conclusion: The quantification of ER, PgR, and HER2 mRNA expression with NanoString nCounter® may be a viable alternative to conventional IHC/FISH methods.

Molecular identification of archaic bones as a native Korean black bear: implications for the ongoing bear restoration program

현지연,김태욱,Puneet Pandey,김경석,정승준,강재구,공달용,정승호,정호권,한상훈,한상현,이항 한국통합생물학회 2022 Animal cells and systems Vol.26 No.5

The genetic investigation of the archeological or museum samples, including endangered species, provides vital information necessary to plan, implement, and revisit conservation strategies. In South Korea, the Asian black bear went almost extinct in wild by 2002, without leaving any authentic specimens representing the native population. Recently researchers found a set of animal bones in a natural cave in Mt. Taebaek (South Korea), suspected to be of a bear. In the present study, we undertook a molecular investigation and radiocarbon dating to establish the species’ identity, phylogenetic position, and approximate age of the recovered specimen. The genetic investigation (CytB, COI, D-loop, SRY, and ZFX-ZFY) identified the sample as a male Asian black bear with close phylogenetic affinity with Northeast Asian bears. Radiocarbon dating estimated the bones to be aged 1800–1942 calAD. These findings indicate that the bone specimens found in the natural cave in Mt. Taebaek were from an individual that naturally inhabited South Korea long before the importing of farm bears (the 1980s) and initiation of wild population restoration (2004). The present study provides the first genetic information record of the native South Korean black bear. Our findings reaffirm the appropriateness of the ongoing bear restoration program in South Korea, with the reintroduction of individuals from North Korea and Russia.