• 한국수자원학회:학술대회논문집
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• 한국수자원학회 2021년도 학술발표회
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• pp.82-82
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• 2021

전 세계적으로 가뭄은 농업·식량안보·수자원관리·생태계 등 다양한 분야에서 부정적인 영향을 미치고 있다. 일반적으로 가뭄은 강수량의 부족으로 발생하고, 지표수와 지하수의 가용성이 제한됨에 따라 작물생산 및 사회·경제적으로 피해가 발생한다. 이러한 영향은 특정 가뭄 모니터링 및 조기 경보와 관련하여 가뭄 지표를 결정할 때 중요한 고려사항이다. 가뭄을 분석하기 위해서는 가뭄 지표를 적용하여 정확하게 반영하고 나타내는 것이 중요하다. 가뭄의 특성을 객관적으로 정량화하기 어렵기 때문에 다양한 지표와 계산을 통한 가뭄 모니터링 및 분석 기술이 필요하며, 강수량, 토양수분, 증발산량 및 식생과 관련하여 가뭄 지표가 개발되었다. 본 연구에서는 혼합 가뭄 지표 (Drought Indicator Blends) 활용하여 우리나라의 가뭄을 분석하였다. 혼합 가뭄 지표는 NOAA (National Oceanic and Atmospheric Administration)의 기후 예측 센터 (Climate Prediction Center, CPC)에서 여러 가뭄 지수를 단기 또는 장기로 구분하여 통합, 개발되었다. 단기 및 장기 혼합 제품은 PDSI (Palmer Drought Severity Index), Z-Index, SPI (Standardized Precipitation Index)를 결합하여 가뭄을 추정한다. 혼합 가뭄 지표는 해당 지역의 단기 및 장기 가뭄을 이해하는데 유용하게 활용할 수 있으며, 현재까지 미국에서 활발하게 연구가 진행되고 있다. 단기 지표는 비관개 농업, 토양수분 등 강수량에 밀접한 관련이 있는 가뭄과 관련되어 평가하며, 장기 지표의 경우 관개 농업, 지하수위 등 장기간 가뭄과 연관성을 가지고 있다. 단기 및 장기 혼합 가뭄 지표를 우리나라에 적용함으로써 기존 단일 가뭄 지수를 활용한 가뭄 분석 이상으로 다방면에서 효율적인 가뭄 모니터링을 할 수 있을 것이라 판단된다.

• 국제학술발표논문집
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• The 9th International Conference on Construction Engineering and Project Management
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• pp.712-720
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• 2022

The use of social media to disseminate news and interact with project stakeholders is increasing over time in the construction industry. Such social media data can be analyzed to get useful insights of the industry such as demands of new housing construction and satisfaction of construction workers. However, there has been a limited attempts to analyze social media data related to the construction industry. The objective of this study is to collect and analyze construction related tweets to understand the overall sentiments of individuals and organizations about the construction industry. The study collected 87,244 tweets from April 6, 2020, to April 13, 2020, which had hashtags relevant to the construction industry. The tweets were then analyzed to evaluate its sentiments polarity (positive or negative) and sentiment intensity or scores (-1 to +1). Descriptive statistics were produced for the tweets and the sentiment scores were visualized in a scatterplot to show the trend of the sentiment scores over time. The results shows that the overall sentiment score of all the tweets was slightly positive (0.0365). Negative tweets were retweeted and marked as favorite by more users on average than the positive ones. More specifically, the tweets with negative sentiments were retweeted by 2,802 users on average compared to the tweets with positive sentiments (247 average retweet count). This study can potentially be expanded in the future to produce a real time indicator of the construction market industry such as the increased availability of construction jobs, improved wage rates, and recession.

• 국제지역연구
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• 제13권1호
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• pp.167-186
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• 2009

본 연구에서는 산업연관분석모형을 이용한 속초시 23개 스포츠이벤트가 지역경제에 미치는 파급효과를 추정하는데 있다. 스포츠이벤트의 승수는 생산물, 부가가치, 개인소득, 간접세, 고용에 대한 거래로부터 도출 되었다. 이 조사는 이벤트에 참여한 선수, 임원, 관중 등 표본으로 하여 총지출을 추정하였다. 분석결과 스포츠이벤트가 지역경제에 미치는 파급효과에서 생활 스포츠가 엘리트 스포츠보다 질적인 전망에서 효율적인 것으로 나타났고, 반면 양적인 전망에서는 엘리트 스포츠가 생활스포츠보다 효율적인 것으로 나타났다. 따라서 본 연구결과가 속초시지역에 대한 스포츠이벤트 개최가 지역경제활성화에 어느 정도 기여하고 있는가를 가늠해 볼 수 있는 척도로서 제시했다.

• 한국구조물진단유지관리공학회 논문집
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• 제27권5호
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• pp.57-66
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• 2023

사회기반시설의 자산가치 평가는 자산의 효율적인 관리를 위한 합리적인 의사결정에 필수적이며, 자산을 올바르게 인식하기 위한 지표가 될 수 있다. 국내 자산가치 평가는 일반적으로 정액법 기반의 상각후대체원가를 적용하고 있어 내용연수 기간 동안 일정하게 감가상각되어 실질적인 가치를 평가하지 못하고 있다. 교량의 성능을 합리적으로 고려한 자산가치 평가를 위해 와이블 분포를 활용하여 교량의 평균수명, 신뢰도, 고장율 등 교량의 성능지표를 추정하였다. 추정된 성능지표와 결함도지수를 활용하여 새로운 자산가치 평가 방법을 제안하고 기존 방법과 비교·분석하였다. 제안한 가치평가 방법은 교량의 성능을 고려할 수 있어 기존 방법보다 객관적이고 현실성 있는 것으로 판단된다.

• Animal Bioscience
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• 제37권6호
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• pp.1077-1084
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• 2024

Objective: The present work was conducted to evaluate suitable variables and develop prediction equations using chemical composition and physical characteristics for estimating standardized ileal digestibility (SID) of lysine (Lys) in full-fat soybeans (FFSB). Methods: The chemical composition and physical characteristics were determined including trypsin inhibitor activity (TIA), urease activity (UA), protein solubility in 0.2% potassium hydroxide (KOH), protein dispersibility index (PDI), lysine to crude protein ratio (Lys:CP), reactive Lys:CP ratio, neutral detergent fiber, neutral detergent insoluble nitrogen (NDIN), acid detergent insoluble nitrogen (ADIN), acid detergent fiber, L* (lightness), and a* (redness). Pearson's correlation (r) was computed, and the relationship between variables was determined by linear or quadratic regression. Stepwise multiple regression was performed to develop prediction equations for SID of Lys. Results: Negative correlations (p<0.01) between SID of Lys and protein quality indicators were observed for TIA (r = -0.80), PDI (r = -0.80), and UA (r = -0.76). The SID of Lys also showed a quadratic response (p<0.01) to UA, NDIN, TIA, L*, KOH, a* and Lys:CP. The best-fit model for predicting SID of Lys in FFSB included TIA, UA, NDIN, and ADIN, resulting in the highest coefficient of determination (R² = 0.94). Conclusion: Quadratic regression with one variable indicated the high accuracy for UA, NDIN, TIA, and PDI. The multiple linear regression including TIA, UA, NDIN, and ADIN is an alternative model used to predict SID of Lys in FFSB to improve the accuracy. Therefore, multiple indicators are warranted to assess either insufficient or excessive heat treatment accurately, which can be employed by the feed industry as measures for quality control purposes to predict SID of Lys in FFSB.

• Korean Journal of Radiology
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• 제22권10호
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• pp.1671-1679
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• 2021

Objective: We quantitatively measured the fat fraction (FF) in the vertebrae of patients with ankylosing spondylitis (AS) using magnetic resonance imaging (MRI) and investigated the role of FF as an indicator of both active inflammation and chronicity. Materials and Methods: A total of 52 patients with AS who underwent spinal MRI were retrospectively evaluated. The FF values of the anterosuperior and anteroinferior corners of the bone marrow in the L1-S1 spine were assessed using the modified Dixon technique. AS activity was measured using the Bath Ankylosing Spondylitis Disease Activity Index (BASDAI), Bath Ankylosing Spondylitis Functional Index (BASFI), AS Disease Activity Score (ASDAS), and serum inflammatory marker levels. AS disease chronicity was assessed by AS disease duration and the modified Stoke Ankylosing Spondylitis Spinal Score (mSASSS). Univariable and multivariable regression analyses were conducted to investigate the correlation between FF and other clinical characteristics. Results: The mean FF ± standard deviation of the total lumbar spine was 43.0% ± 11.3%. At univariable analysis, spinal FF showed significant negative correlation with BASDAI (β = -0.474, p = 0.002) and ASDAS with C-reactive protein (ASDAS-CRP; β = -0.478, p = 0.002) and a significant positive correlation with AS disease duration (β = 0.440, p = 0.001). After adjusting for patient age, sex, and total mSASSS score, spinal FF remained significantly negatively correlated with BASDAI (β = -0.543, p < 0.001), ASDAS-CRP (β = -0.568, p < 0.001), and ASDAS with erythrocyte sedimentation rate (β = -0.533, p = 0.001). Spinal FF was significantly lower in patients with very high disease activity (ASDAS-CRP > 3.5) than in those with only high disease activity (2.1 ≤ ASDAS-CRP ≤ 3.5) (p = 0.010). Conclusion: Spinal FF may help assess both AS disease activity and chronicity.

• Korean Journal of Radiology
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• 제22권9호
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• pp.1481-1489
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• 2021

Objective: To construct a CT-based Fagotti scoring system by analyzing the correlations between laparoscopic findings and CT features in patients with advanced ovarian cancer. Materials and Methods: This retrospective cohort study included patients diagnosed with stage III/IV ovarian cancer who underwent diagnostic laparoscopy and debulking surgery between January 2010 and June 2018. Two radiologists independently reviewed preoperative CT scans and assessed ten CT features known as predictors of suboptimal cytoreduction. Correlation analysis between ten CT features and seven laparoscopic parameters based on the Fagotti scoring system was performed using Spearman's correlation. Variable selection and model construction were performed by logistic regression with the least absolute shrinkage and selection operator method using a predictive index value (PIV) ≥ 8 as an indicator of suboptimal cytoreduction. The final CT-based scoring system was internally validated using 5-fold cross-validation. Results: A total of 157 patients (median age, 56 years; range, 27-79 years) were evaluated. Among 120 (76.4%) patients with a PIV ≥ 8, 105 patients received neoadjuvant chemotherapy followed by interval debulking surgery, and the optimal cytoreduction rate was 90.5% (95 of 105). Among 37 (23.6%) patients with PIV < 8, 29 patients underwent primary debulking surgery, and the optimal cytoreduction rate was 93.1% (27 of 29). CT features showing significant correlations with PIV ≥ 8 were mesenteric involvement, gastro-transverse mesocolon-splenic space involvement, diaphragmatic involvement, and para-aortic lymphadenopathy. The area under the receiver operating curve of the final model for prediction of PIV ≥ 8 was 0.72 (95% confidence interval: 0.62-0.82). Conclusion: Central tumor burden and upper abdominal spread features on preoperative CT were identified as distinct predictive factors for high PIV on diagnostic laparoscopy. The CT-based PIV prediction model might be useful for patient stratification before cytoreduction surgery for advanced ovarian cancer.

• 한국동물위생학회지
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• 제47권1호
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• pp.1-7
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• 2024

Radiographic left atrial dimension (RLAD) is a valuable metric for assessing left atrial enlargement in dogs. While there have been studies on the use of RLAD and the increase in C-reactive protein (CRP) levels based on heart disease stages, there has been no prior research on the correlation between RLAD and CRP. In this study, the objective was to investigate the relationship between the rise in RLAD as myxomatous mitral valve disease (MMVD) stages advance and the increase in CRP levels with MMVD stage progression. In this study, a total of 30 small-breed dogs were included as subjects. These dogs were diagnosed with MMVD at the American College of Veterinary Internal Medicine (ACVIM) stage B1 or B2, or stage C, based on a comprehensive assessment including physical examination, thoracic radiography, and echocardiography. Measurements of VHS and RLAD were compared to assess any significant differences. There were significant differences in RLAD between dogs with MMVD ACVIM stage B1 and those with stage C. The monocytes and CRP levels showed significant differences between ACVIM stage B1, B2 and ACVIM C. Additionally, a significant correlation was observed between the RLAD and VHS measurements. This underscores the notable association between MMVD stage advancement and elevated monocyte and CRP levels. The RLAD scores exhibited a significant difference among dogs with ACVIM stages B1, B2, and C, and significant variations were also observed in monocyte and CRP levels. These results suggest that monocyte and CRP levels may be a valuable diagnostic indicator for heart disease in dogs during the diagnostic evaluation.

• Journal of Microbiology and Biotechnology
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• 제34권4호
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• pp.958-968
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• 2024

In recent years, there has been a growing recognition of the important role that long non-coding RNAs (lncRNAs) play in the immunological process of hepatocellular carcinoma (LIHC). An increasing number of studies have shown that certain lncRNAs hold great potential as viable options for diagnosis and treatment in clinical practice. The primary objective of our investigation was to devise an immune lncRNA profile to explore the significance of immune-associated lncRNAs in the accurate diagnosis and prognosis of LIHC. Gene expression profiles of LIHC samples obtained from TCGA database were screened for immune-related genes. The optimal immune-related lncRNA signature was built via correlational analysis, univariate and multivariate Cox analysis. Then, the Kaplan-Meier plot, ROC curve, clinical analysis, gene set enrichment analysis, and principal component analysis were performed to evaluate the capability of the immune lncRNA signature as a prognostic indicator. Six long non-coding RNAs were identified via correlation analysis and Cox regression analysis considering their interactions with immune genes. Subsequently, tumor samples were categorized into two distinct risk groups based on different clinical outcomes. Stratification analysis indicated that the prognostic ability of this signature acted as an independent factor. The Kaplan-Meier method was employed to conduct survival analysis, results showed a significant difference between the two risk groups. The predictive performance of this signature was validated by principal component analysis (PCA). Additionally, data obtained from gene set enrichment analysis (GSEA) revealed several potential biological processes in which these biomarkers may be involved. To summarize, this study demonstrated that this six-lncRNA signature could be identified as a potential factor that can independently predict the prognosis of LIHC patients.

• Journal of Radiation Protection and Research
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• 제33권2호
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• pp.47-51
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• 2008

목 적: 방사선수술에 사용되는 치료계획을 위한 정위 영상 획득 때 사용되는 표시기(indicator)의 회전에 의한 오차를 분석하고 이를 교정하는 소프트웨어의 기능을 점검하는 방법을 제시한다. 이 방법을 이용하여 상용 프로그램인 렉셀감마플랜의 회전 오차 기능을 점검한다. 대상 및 방법: 상용 프로그래밍 언어인 Interactive Data Language (version 5.5)를 이용하여 소프트웨어적으로 만든 정위 영상으로 가상 팬텀을 만들었다. 영상의 두께는 0.5 mm, 픽셀 크기 0.5 mm, 필드 크기 256 mm, 그리고 분해능은 $512{\times}512$이었다. 영상은 DICOM 3.0 표준을 따라서 렉셀감마플랜이 인식할 수 있도록 하였다. 회전 교정 기능 점검을 위하여 가상 팬텀의 중심에서 상하로 50 mm와 30 mm 떨어진 곳과 중앙에 위치한 횡단면 영상에 각각 50 mm 간격으로 측정점 9개를 만들어 총 45개의 측정점을 만들었다. 기준 가상 팬텀을 x, y, z축을 중심으로 각각 $3^{\circ}$ 회전한 영상, xy, yz, zx 축을 중심으로 각각 $3^{\circ}$씩 회전한 영상, xyz세 방향으로 모두 $3^{\circ}$씩 회전한 영상을 만들어서 회전에 의한 오차를 계산하고, 렉셀감마플랜의 교정 기능을 점검하였다. 결과: 가상 영상을 렉셀감마플랜에 입력하고 정위좌표를 정의할 때 영상에 의한 등록 오차는 $0.1{\pm}0.1mm$로써 방사선수술에서 요구하는 오차 내에 있었다. x, y, z축 중 1개 축을 중심으로 $3^{\circ}$ 회전할 때 가능한 최대 오차는 2.6mm, 2개 축을 중심으로 $3^{\circ}$씩 회전할 때는 3.7mm, 3개축 모두에 대해 $3^{\circ}$씩 회전할 때는 4.5 mm이다. 이에 대해 영상의 회전을 교정하여 렉셀감마플랜에서 측정한 측정점들의 변위는 1 개축을 중심으로 회전하였을 때 $0.1{\pm}0.1mm$, 2 개 축의 경우 $0.2{\pm}0.2mm$, 3개축의 경우 $0.2{\pm}0.2mm$로서 회전의 영향을 보정하는 기능이 정확하게 작동하고 있음을 확인할 수 있었다. 결론: 방사선수술 치료계획 프로그램의 여러 소프트웨어적 기능을 점검하기 위한 가상 팬텀을 만들고 상용프로그램의 회전 오차 교정 기능을 점검한 결과 정확하게 작동하고 있음을 확인하였다. 본 연구에서 작성한 가상 팬텀은 치료계획 프로그램의 다른 여러 기능들을 점검하는 데도 사용될 수 있을 것이다.