[미술 | 특집 - 서용선의 〈암태도소작쟁의 100주년 연작〉 전시 리뷰] 서용선의 질문하는 삶, 생각하는 그림

이슬비(李슬비) 새얼문화재단 2024 황해문화 Vol.122 No.-

[공모평론] 어디로 가나요? : 김유담의 소설들을 중심으로

이슬아(李瑟雅) 새얼문화재단 2022 황해문화 Vol.114 No.-

버지니아 울프의 『 올랜도』와 얀 마텔의 『 셀프』에 나타난 젠더 허물기 정치학

이슬 한국영미문학교육학회 2023 영미문학교육 Vol.27 No.2

This paper examines intertextuality between Virginia Woolf’s Orlando and Yann Martel’s Self, focusing on the way in which each text grapples with undoing gender essentialism. Despite being set in different times and spaces, both novels demonstrate common threads: the protagonist challenges binary gender norms and heteronormativity; their gender is unintentionally transformed. In this regard, Martel’s novel should be understood as a successor to Woolf’s Orlando, as it is advertised as “A Modern-Day Orlando” by the publisher. Strangely enough, however, both texts have rarely been examined together. Thus, I argue that Orlando and Self resonate with one another as they explore gender and sexual fluidity through their main characters while simultaneously problematizing fixed categories of sex, gender, and sexuality, along with language derived from binary and heterosexual assumptions. Woolf and Martel experiment and break down rigid distinctions of gender, language, and even literary genres by blending biographical or autobiographical forms with other literary styles in their respective novels. Gender nonconformity practiced by the two characters illustrates that gender is performativity and one’s self is constantly negotiated through interactions with others. Hence, this paper interrogates how Woolf and Martel envision gender non-conforming subjects’ livable lives to demonstrate the politics of queer life.

Protective effects of kaempferol against qualene monohydroperoxideinduced skin wrinkles and its green extraction using deep eutectic solvents

이슬,박준성 한국공업화학회 2023 한국공업화학회 연구논문 초록집 Vol.2023 No.1

스트레스와 소화기능을 활용한 체질별 맞춤 수면관리

이슬,채한,박지은,김국화,이정윤,Seul Lee,Han Chae,Jieun Park,Kukhwa Kim,Jeongyun Lee 사상체질의학회 2024 사상체질의학회지 Vol.36 No.1

Objectives This study aimed to analyze the influence of various sleep-related factors that affect sleep quality by each Sasang type. Methods A total of 400 subjects were included for this study, 108 males and 292 females. Sasang type was diagnosed using the SCAT. Then, the characteristics of each Sasang type were analyzed using HRV, DITI, and PSQI, PSS, and SDFI questionnaires. Logistic regression analysis was used to predict sleep-related factors that affect sleep disorders by Sasang types. Results This study shows that the pathophysiological characteristics for stress and digestive function of each Sasang type can differentiate sleep management through a logistic regression model including subscales of PSS and SDFI. Stress had no effect on the occurrence of sleep disturbance within only So-Eum, since the stress level is originally high in the So-Eum regardless of sleep quality. Rather, decreased appetite and poor eating habits had a significant impact on the decline in sleep quality. In addition, poor digestion and eating habits in So-Yang had a greater impact and poor digestion in Tae-Eum had a greater impact on the decline in sleep quality. Conclusion The stress and subscales of digestive function provide differentiated sleep management in So-Yang, Tae-Eum, and So-Eum types. The individualized sleep management for each Sasang type with statistically validated PSS and SDFI would be useful for sleep-related experts planning safe and effective person-centered health care as well as for Western clinicians who want to incorporate Sasang typology into their treatments as integrative medical technique in the future.

CDM(청정개발체제) 사업종류와 건축물에 적용 가능성

이슬,송요순 한국공업화학회 2011 한국공업화학회 연구논문 초록집 Vol.2011 No.-

Comparative analysis of the energy values of oat hay, tall fescue, annual ryegrass, and barnyard millet using in vivo digestibility results and predicted values

이슬,전서영,서성원,김정은,성필남,백열창 충남대학교 농업과학연구소 2021 Korean Journal of Agricultural Science Vol.48 No.4

Accurate measurements of feed energy values have a positive effect on the control of feed intake for animals, the formation of prices, and on economic profits. However, few studies have attempted to measure the energy values of domestic roughages and to validate an energy value prediction model. The purpose of this study is to build a database through measurements of the nutrient digestibility and digestible energy results of roughages used in Korea and to evaluate the domestic applicability of the National Research Council (NRC) estimation model. Oat hay, annual ryegrass, tall fescue, barnyard millet, and concentrates for beef cattle were used in the test. As a result of an in vivo digestibility trial, the total digestible nutrients (TDN) of oat hay, annual ryegrass, tall fescue, and barnyard millet were found to be 68.73, 55.02, 55.71, and 52.89%, respectively. As a result of comparing the estimated values using the NRC equation with the in vivo results, there was a difference of 3.55 to 6.84%P in the TDN. Inferred from this result, it is considered that TDN calculations using the NRC equation can be reasonable for the test feeds used in this study. These results can be utilized when revising the Korean Standard Tables of Feed Composition, which provides a comprehensive overview of Korean feed.

Prediction of Arsenic Uptake by Rice in the Paddy Fields Vulnerable to Arsenic Contamination

이슬,강대원,김혁수,유지혁,박상원,오경석,조일규,문병철,김원일 한국토양비료학회 2017 한국토양비료학회지 Vol.50 No.2

There is an increasing concern over arsenic (As) contamination in rice. This study was conducted to develope aprediction model for As uptake by rice based on the physico-chemical properties of soil. Soil and brown ricesamples were collected from 46 sites in paddy fields near three different areas of closed mines and industrialcomplexes. Total As concentration, soil pH, Al oxide, available phosphorus (avail-P), organic matter (OM)content, and clay content in the soil samples were determined. Also, 1.0 N HCl, 1.0 M NH4NO3, 0.01 MCa(NO3)2, and Mehlich 3 extractable-As in the soils were measured as phytoavailable As concentration in soil. Total As concentration in brown rice samples was also determined. Relationships among As concentrations inbrown rice, total As concentrations in soils, and selected soil properties were as follows: As concentration inbrown rice was negatively correlated with soil pH value, where as it was positively correlated with Al oxideconcentration, avail-P concentration, and OM content in soil. In addition, the concentration of As in brown ricewas statistically correlated only with 1.0 N HCl-extractable As in soil. Also, using multiple stepwise regressionanalysis, a modelling equation was created to predict As concentration in brown rice as affected by selected soilproperties including soil As concentration. Prediction of As uptake by rice was delineated by the model [As inbrown rice = 0.352 + 0.00109 * HCl extractable As in soil + 0.00002 * Al oxide + 0.0097 * OM + 0.00061 *avail-P – 0.0332 * soil pH] (R = 0.714***). The concentrations of As in brown rice estimated by the modellingequation were statistically acceptable because normalized mean error (NME) and normalized root mean squareerror (NRMSE) values were -0.055 and 0.2229, respectively, when compared with measured As concentration inthe plant.

Methanogenic Archaeal Census of Ruminal Microbiomes

이슬,백열창,이진욱,김민석 한국산학기술학회 2020 한국산학기술학회논문지 Vol.21 No.7

The objective of the study was to undertake a phylogenetic diversity census of ruminal archaea based on a meta-analysis of 16S rRNA gene sequences that were publicly available in the Ribosomal Database Project. A total of 8,416 sequences were retrieved from the Ribosomal Database Project (release 11, update 5) and included in the construction of a taxonomy tree. Species-level operational taxonomic units (OTUs) were analyzed at a 97% sequence similarity by using the QIIME program. Of the 8,416 sequences, 8,412 were classified into one of three phyla; however, the remaining four sequences could not be classified into a known phylum. The Euryarchaeota phylum was predominant and accounted for 99.8% of the archaeal sequences examined. Among the Euryarchaeota, 65.4% were assigned to Methanobrevibacter, followed by Methanosphaera (10.4%), Methanomassillicoccus (10.4%), Methanomicrobium (7.9%), Methanobacterium (1.9%), Methanimicrococcus (0.5%), Methanosarcina (0.1%), and Methanoculleus (0.1%). The 7,544 sequences that had been trimmed to the V2 and V3 regions clustered into 493 OTUs. Only 17 of those 493 OTUs were dominant groups and accounted for more than 1% of the 7,544 sequences. These results can help guide future research into the dominant ruminal methanogens that significantly contribute to methane emissions from ruminants, research that may lead to the development of anti-methanogenic compounds that inhibit these methanogens regardless of diet or animal species.

Determination of Bioconcentration Factor of Heavy Metal (loid)s in Rice Grown on Soils Vulnerable to Heavy Metal (loid)s Contamination

이슬,강대원,유지혁,박상원,오경석,이진호,조일규,문병철,김원일 한국토양비료학회 2017 한국토양비료학회지 Vol.50 No.2

There is an increasing concern over heavy metal(loid) contamination of soil in agricultural areas including paddysoils. This study was conducted to determine the bioconcentration factor (BCF) for heavy metal(loid)s to brownrice grown in paddy soils vulnerable to heavy metal(loid)s contamination, for the quantitative health riskassessment to the residents living nearby the metal contaminated regions. The samples were collected from 98sites nationwide in the year 2015. The mean and range BCF values of As, Cd, Cu, Ni, Pb, and Zn in brown ricewere 0.027 (0.001 ~ 0.224), 0.143 (0.001 ~ 2.434), 0.165 (0.039 ~ 0.819), 0.028 (0.005 ~ 0.187), 0.006 (0.001 ~0.048), and 0.355 (0.113 ~ 1.263), respectively, with Zn showing the highest. Even though the relationshipbetween heavy metal(loid) contents in the vulnerable soils and metal contents in brown rice collected at the samefields was not significantly correlated, the relationship between log contents of heavy metal(loid)s in thevulnerable soils and BCF of brown rice wes significantly correlated with As, Cd, Cu, and Zn in rice. Inconclusion, soil environmental risk assessment for crop uptake should consider the bioconcentration factorcalculated using both the initial and vulnerable heavy metal(loid) contents in the required soil and the cropcultivated in the same fields.