• Korean Journal of Animal Reproduction
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• v.24 no.4
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• pp.419-428
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• 2000

Leptin, the product of obese (ob) gene, is an adipocyte-derived satiety factor that plays a major role in the regulation of food intake, energy homeostasis, body weight, reproductive physiology and neuropeptide secretion. The present study was designed to generate transgenic mice expressing antisense mouse ob (mob) gene. Total RNA was extracted from the adipose tissues of mouse, then reverse transcription was performed. The 303 and 635 bp fragments of anti I and II cDNAs were amplified from mob cDNAs by PCR. The two mob cDNAs were reversely ligated into between adipose tissue specific aP2 promote and SV40 poly(A) site. Transgenic mice carrying two different kinds of antisense mob transgenes were generated by DNA microinjection into pronucleus. Total 14 transgenic mice were born, and the 4 and 5 founder lines of the transgenic mice with anti I and II transgenes were respectively established. Antisense mRNA expression was detected in transgenic F$_1$ mice by RT-PCR analysis. This result suggests that the transgenic mice expressing antisense mob mRNA may be useful as an animal disease model to be obesity caused by decreased amount of leptin secretion.

• Journal of Intelligence and Information Systems
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• v.29 no.2
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• pp.219-240
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• 2023

Conversational AI which allows users to interact with satisfaction is a long-standing research topic. To develop conversational AI, it is necessary to build training data that reflects real conversations between people, but current Korean datasets are not in question-answer format or use honorifics, making it difficult for users to feel closeness. In this paper, we propose a conversation dataset (KOMUChat) consisting of 30,767 question-answer sentence pairs collected from online communities. The question-answer pairs were collected from post titles and first comments of love and relationship counsel boards used by men and women. In addition, we removed abuse records through automatic and manual cleansing to build high quality dataset. To verify the validity of KOMUChat, we compared and analyzed the result of generative language model learning KOMUChat and benchmark dataset. The results showed that our dataset outperformed the benchmark dataset in terms of answer appropriateness, user satisfaction, and fulfillment of conversational AI goals. The dataset is the largest open-source single turn text data presented so far and it has the significance of building a more friendly Korean dataset by reflecting the text styles of the online community.

• Proceedings of the Korea Water Resources Association Conference
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• 2021.06a
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• pp.438-438
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• 2021

우리나라의 수질오염총량관리제도는 수계 내 모든 유역을 관리대상으로 동일 기준유량 조건에 동일한 대상물질로 관리하고 있지만, 본류는 지류의 영향을 받고 있으며 지류는 사람이 거주하는 지역 인근에 있어 본류 수질에 직접적인 영향을 미치고 있다. 이는 지류의 시급한 개선이 필요한 오염물질의 실질적인 관리가 어려워 이를 개선하기 위해 오염도가 높은 지류의 총량관리를 위한 지류총량제도의 추가 도입이 필요한 실정이다. 본 연구에서는 지류총량제 시행에 따른 효과를 예측하기 위해 팔당수계 유역을 소유역 단위로 분할하고 HSPF 모형을 적용하여 팔당수계 소유역 지류에서의 수질 변화 양상이 본류에 미치는 영향을 분석하였다. 연구대상지역은 팔당수계 중권역 유역(남한강 하류 유역, 경안천 유역, 북한강 하류 유역)으로 구분하고 유역 유출 및 수질 모델링은 지류하천을 포함하는 57개 소유역을 대상으로 수행하였다. 입력자료는 공간자료(표고, 경사, 토지이용, 토양도 등)와 기상자료(춘천, 양평, 이천, 수원관측소)는 2008년~2018년의 강수량, 최고기온, 최저기온, 평균풍속, 평균습도 등의 시단위 자료를 사용하였다. 모의결과, BOD는 남한강 하류유역의 주요 지천 유역인 복하천, 양화천, 청미천 및 흑천 유역에서 0.54~0.56mg/L의 범위로 주변 유역보다 높게 나타났으며, 경안천 유역은 경안천 유역의 중·하류 유역에서 2.63~4.22mg/L의 범위로 높게 나타났고, 북한강 유역은 조종천 하류 및 북한강 상류 유역에서 1.36~3.31mg/L의 범위로 주변 유역보다 높게 나타났다. T-P는 남한강 하류 유역은 주요 지천 유역인 복하천, 양화천, 청미천 유역에서 0.07~0.19mg/L의 범위로 주변 유역보다 높게 나타났고, 남한강 하류 유역의 중간 지점 유역인 한강(E1, E2, E4, E6)에서 높게 나타났다. 경안천 유역은 중·하류 유역의 좌안측 유역인 경안(A4, A3, B2, B1, F9)에서 0.1~0.14mg/L의 범위로 높게 나타났으며, 북한강 유역은 전체 유역에서 0.06mg/L 이하로 남한강 하류 및 경안천 유역보다 전반적으로 낮게 나타났다. 이와 같이 지류총량관리에 HSPF 모형의 적용은 가능하였으나 HSPF 모형을 이용한 소유역 단위의 유량 및 수질 예측을 위해서는 기존의 유량 및 수질 관측망을 소유역 단위로 좀 더 정밀하게 계획하는 것이 필요하다고 판단된다.

• Health Policy and Management
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• v.32 no.4
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• pp.347-355
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• 2022

Background: Since November 2019, long-term care hospitals have been able to provide patients with discharging programs to support the elderly in the community. This study aimed to identify both patient- and hospital-level factors that affect successful community discharge from long-term care hospitals. Methods: A multilevel logistic regression model was performed using hospitals as a clustering unit. The dependent variable was whether a patient stayed in the community for at least 30 days after discharge from a long-term care hospital. As for the patient-level independent variables, an agreement between a patient and the family about discharge, length of hospital stay, patient category, and residence at discharge were included. The number of beds and the ratio of long-stay patients were selected for the hospital-level factors. The sample size was 1,428 patients enrolled in the discharging program from November 2019 to December 2020. Results: The number of patients who were discharged to the community and stayed at least for 30 days was 532 (37.3%). The intraclass correlation coefficient was 22.9%, indicating that hospital-level factors had a significant impact on successful community discharge. The odds ratio (OR) of successful community discharge increased by 1.842 times when the patients and their families agreed on discharge. The ORs also increased by 3.020 or 2.681 times, respectively when the patients planned to discharge to their own house or their child's house compared to those who didn't have a plan for residence at discharge. The ORs increased by 1.922 or 2.250 times when the hospitals were owned by corporate or private property compared to publicly owned hospitals. The ORs decreased by 0.602 or 0.520 times when the hospital was sized over 400 beds or located in small and medium-sized cities compared to less than 200 bedded hospitals or located in metropolitan cities. Conclusion: The results of the study showed that the patients' and their family's willingness for discharge had a great impact on successful community discharge and the hospital-level factors played a significant role in it. Therefore, it is important to acknowledge and support long-term care hospitals to involve active in the patient discharge planning process.

• Proceedings of the Korea Water Resources Association Conference
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• 2021.06a
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• pp.441-441
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• 2021

우리나라의 홍수조절용댐은 총 5개소로 영산강유역에 두 개소와 한강유역에 세 개소가 있다. 한강유역에 있는 세 개소의 홍수조절지용댐은 한강상류의 북한지역에서 발생하는 집중호우에 대비하기 위한 댐으로, 임진강 하류지역의 수해방지를 위한 한탄강댐과 군남홍수조절지(군남댐)가 있으며 북한강 하류와 수도권의 홍수예방을 위한 평화의 댐이 있다. 영산강유역에 있는 두 개소의 홍수조절지는 2006년에 수립한 영산강치수종합대책에서 계획이 수립된 시설로 2011년 4대강 사업의 일환으로 설치하여 K-water에서 운영 중에 있다. 4대강 사업 이전의 영산강유역은 홍수량을 조절할 수 있는 홍수조절용량이 전무했던 실정으로 하도에서 홍수량의 전량을 수용해야했던 홍수에 매우 취약한 하천이었다. 그러나 4대강 사업을 통하여 영산강유역의 4대호를 비롯한 농업용댐의 숭상을 통한 홍수조절용량의 확보와 더불어 나주천변저류지와 담양홍수조절지, 화순홍수조절지를 설치하여 홍수로부터 상대적으로 안전한 하천으로 변모할 수 있었다. 그러나 영산강유역의 다른 하나의 과제는 여전히 남아있다. 우리나라의 하천 중에서 가장 수질이 악화되어 있는 하천이라는 불명예이다. 홍수조절지는 1년 중 3개월에 해당하는 홍수기에 사용할 수 있는 시설로 1년 중 9개월에 해당하는 비홍수기에는 홍수조절지의 효율적인 공간활용을 위하여 주민지원사업 등 다각도로 고민하여 사용하고 있으나 하천 외적인 문제를 수용하는 범주에 머무르고 있다. 하천이 가지고 있는 문제점을 다소라도 해소할 수 있는 목적으로 사용될 수 있다면 하천 외적인 문제를 수용하는 것 보다 하천 내적인 문제를 해소하는 목적으로 사용하는 것이 보다 바람직할 것으로 판단된다. 이를 위하여 영산강의 내적인 가장 큰 문제점은 수질악화로 인한 수질개선이라 할 수 있다. 따라서 홍수기로 한정되어 사용하는 홍수조절지를 해당하천의 내적인 문제를 다소라도 해소할 수 있는 공간으로 비홍수기에 기여할 수만 있다면 비홍수기의 활용목적을 확대하여 다목적조절지로의 변모가 필요하다고 판단한다. 따라서 본 연구에서는 영산강유역에 있는 담양홍수조절지와 화순홍수조절지의 두 개소 홍수조절지를 활용하여 영산강 수질개선에 기여할 수 있는 정도를 파악하였다. 비홍수기에 유출량의 일부를 조절지에 담수해 두었다가 수질개선 목적의 희석수로 방류하는 시나리오를 마련하여 시나리오별로 영산강의 수질개선효과를 분석하여 제시하였다. 수질개선효과를 분석하기 위하여 EFDC모델을 구축하고 모델 수행을 위한 시나리오는 조절지의 담수율과 방류량 그리고 조절지의 관리수질조건 등을 이용하여 작성하고 수질예측 결과에 따라 TOC, CHl-a, T-P 수질항목을 대상으로 수질개선효과를 분석하여 제시하였다.

• Journal of Preventive Medicine and Public Health
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• v.55 no.3
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• pp.280-288
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• 2022

Objectives: One of the most widely used pesticides today is chlorpyrifos (CPF). Cytochrome P450 (CYP)2B6, the most prominent catalyst in CPF bioactivation, is highly polymorphic. The objective of our study was to evaluate the role of CYP2B6^*6, which contains both 516G>T and 785A>G polymorphisms, in CPF toxicity, as represented by the concentration of 3,5,6-trichloro-2-pyridinol (TCPy), among vegetable farmers in Central Java, Indonesia, where CPF has been commonly used. Methods: A cross-sectional study was conducted among 132 vegetable farmers. Individual socio-demographic and occupational characteristics, as determinants of TCPy levels, were obtained using a structured interviewer-administered questionnaire and subsequently used to estimate the cumulative exposure level (CEL). TCPy levels were detected with liquid chromatography-mass spectrometry. CYP2B6^*6 gene polymorphisms were analyzed using a TaqMan^® SNP Genotyping Assay and Sanger sequencing. Linear regression analysis was performed to analyze the association between TCPy, as a biomarker of CPF exposure, and its determinants. Results: The prevalence of CYP2B6^*6 polymorphisms was 31% for ^*1/^*1, 51% for ^*1/^*6, and 18% for ^*6/^*6. TCPy concentrations were higher among participants with CYP2B6^*1/^*1 than among those with ^*1/^*6 or ^*6/^*6 genotypes. CYP2B6^*6 gene polymorphisms, smoking, CEL, body mass index, and spraying time were retained in the final linear regression model as determinants of TCPy. Conclusions: The results suggest that CYP2B6^*6 gene polymorphisms may play an important role in influencing susceptibility to CPF exposure. CYP2B6^*6 gene polymorphisms together with CEL, smoking habits, body mass index, and spraying time were the determinants of urinary TCPy concentrations, as a biomarker of CPF toxicity.

• The Journal of Society for e-Business Studies
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• v.27 no.2
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• pp.205-218
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• 2022

Recently, digital transformation in manufacturing has been accelerating. It results in that the data collection technologies from the shop-floor is becoming important. These approaches focus primarily on obtaining specific manufacturing data using various sensors and communication technologies. In order to expand the channel of field data collection, this study proposes a method to automatically collect manufacturing data based on vision-based artificial intelligence. This is to analyze real-time image information with the object detection and tracking technologies and to obtain manufacturing data. The research team collects object motion information for each frame by applying YOLO (You Only Look Once) and DeepSORT as object detection and tracking algorithms. Thereafter, the motion information is converted into two pieces of manufacturing data (production performance and time) through post-processing. A dynamically moving factory model is created to obtain training data for deep learning. In addition, operating scenarios are proposed to reproduce the shop-floor situation in the real world. The operating scenario assumes a flow-shop consisting of six facilities. As a result of collecting manufacturing data according to the operating scenarios, the accuracy was 96.3%.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.28 no.4D
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• pp.485-492
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• 2008

This study presents a viscoelastic characterization of flexible pavement subjected to moving loads. A series of field tests have been conducted on three pavement sections (A2, A5, and A8) at the Korea Expressway Corporation (KEC) test road. The effect of vehicle speed on the responses of each test section was investigated at three speeds: 25 km/hr, 50 km/hr, and 80 km/hr. During the test, both longitudinal and lateral strains were measured at the bottom of asphalt layers and in-situ measurements were compared with the results of finite element (FE) analyses. A commercial FE package, ABAQUS was used to model each test section and a step loading approximation has been adopted to simulate the effect a moving vehicle. For viscoelastic analysis, relaxation moduli of asphalt mixtures were obtained from laboratory test. Field responses reveals the strain anisotropy (i.e., discrepancy between longitudinal and lateral strains) and the amplitude of strain normally decreases as the vehicle speed increases. In most cases, lateral strain was smaller than longitudinal strain, and strain reduction was more significant in lateral direction.

• Animal Bioscience
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• v.35 no.10
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• pp.1489-1498
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• 2022

Objective: The objective of this study was to identify polymorphism in olfactomedin like 3 (OLFML3) gene, and association analysis with meat quality, carcass characteristics, retail meat cut, and fatty acid composition in sheep, and expression quantification of OLFML3 gene in phenotypically divergent sheep. Methods: A total of 328 rams at the age of 10 to 12 months with an average body weight of 26.13 kg were used. A novel polymorphism was identified using high-throughput sequencing in sheep and genotyping of OLFML3 polymorphism was performed using polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP). Among 328 rams, 100 rams representing various sheep genotypes were used for association study and proc general linear model was used to analyse association between genotypes and phenotypic traits. Quantitative real-time polymerase chain reaction (qRT-PCR) was used for the expression analysis of OLFML3 mRNA in phenotypically divergent sheep population. Results: The findings revealed a novel polymorphism in the OLFML3 gene (g.90317673 C>T). The OLFML3 gene revealed three genotypes: CC, CT, and TT. The single nucleotide polymorphism (SNP) was found to be significantly (p<0.05) associated with meat quality traits such as tenderness and cooking loss; carcass characteristics such as carcass length; retail meat cut such as pelvic fat in leg, intramuscular fat in loin and tenderloin, muscle in flank and shank; fatty acids composition such as tridecanoic acid (C13:0), palmitoleic acid (C16:1), heptadecanoic acid (C17:0), ginkgolic acid (C17:1), linolenic acid (C18:3n3), arachidic acid (C20:0), eicosenoic acid (C20:1), arachidonic acid (C20:4n6), heneicosylic acid (C21:0), and nervonic acid (C24:1). The TT genotype was associated with higher level of meat quality, carcass characteristics, retail meat cut, and some fatty acids composition. However, the mRNA expression analysis was not different among genotypes. Conclusion: The OLFML3 gene could be a potential putative candidate for selecting higher quality sheep meat, carcass characteristics, retail meat cuts, and fatty acid composition in sheep.

• Korean Journal of Social Welfare Studies
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• v.41 no.4
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• pp.247-276
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• 2010

This study aimed to examine the model to explain the mediator effect of care evaluation(care stress, care satisfaction) on the effect of stress factors and resource on the psychological well-being of the parents of the adult intellectual disabilities. Examining whether there is a difference between the gender of parents was another aim of this study. Study results showed that with the care stress as an endogenous variable, the daily life function and maladjustment behavior of adult children and the health state of parents had a significant direct effect on the psychological well-being of parents. With care satisfaction as an endogenous variable, family support, expert support and care stress had a significant direct effect. With the psychological well-being as an endogenous variable, care satisfaction and care stress had a significant effect, but the health state of parents didn't. In case of indirect effect, the care stress had a significant mediator effect on the effect of the physical function and maladjustment behavior of adult children and the health state of parents on the psychological well-being of parents. Care satisfaction had a significant mediator effect on the effect of family support, expert support and care stress on the psychological well-being of parents. According to the result of the Multiple Group Analysis, the path showed a statistically significant difference between gender was friend support→care satisfaction, care stress→psychological wellbeing, expert support→care satisfaction. On the basis of the study results, practical suggestions were made.