• Journal of Korean Neurosurgical Society
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• 제61권4호
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• pp.467-473
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• 2018

Objective : The aim of this study was to determine outcome of ischemic stroke patients in the anterior circulation treated with endovascular treatment (EVT) with intravenous thrombolysis (IVT) versus EVT alone group. Methods : A systemic literature review was performed using online database from January 2004 to January 2017. Primary outcomes were successful recanalization seen on finial angiography and good outcome at three months. Secondary outcomes were mortality and the development of symptomatic intracranial hemorrhage (S-ICH) after the procedure. A fixed effect model was used when heterogeneity was less than 50%. Egger's regression test was used to assess publication bias. Results : Five studies were included for final analysis. Between EVT with IVT and EVT alone group, successful recanalization (odds ratio [OR] 1.467, p=0.216), good clinical outcome at three months (OR 1.199, p=0.385), mortality (OR 0.776, p=0.371), and S-ICH (OR 1.820, p=0.280) did not differ significantly. Egger's regression intercept with 95% confidence interval (CI) was 1.99 (95% CI -2.91 to 6.89) in successful recanalization and -0.27 (95% CI -6.35 to 5.80) in good clinical outcome, respectively. Conclusion : The two treatment modalities, EVT with IVT and EVT alone, could be comparable in treating acute anterior circulation stroke. Studies to find specific beneficiary group for EVT alone, without primary IVT, are needed further.

• Applied Biological Chemistry
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• 제32권2호
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• pp.170-177
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• 1989

2개의 m-methyl group이 치환된 m-xylyl N-methylcarbamates(MXNMC)가 비치환된 phenyl N-methylcarbamates(PNMC)보다 높은 살충작용을 나타내는 이유를 알아보기 위하여 이들 두 유도체들이 확장 $H\ddot{u}ckel$(EHT) 이론에 따른 분자궤도(MO) 이론과 회귀 및 자유에너지 관계(LFER) 분석에 의하여 연구되었다. 가장 안정한 입체구조는 phenyl group이 N-methylcarbamyl group의 면에 대하여 수직(${\theta}=90^{\circ}$)인 형태(Z,Z)이었으며, 회귀분석은 $pI_{50}$ 상수들과 meta-위치 및 m-methyl group의 수소원자 하전과 LUMO에너지의 계산된 MO량을 변수로 취했을 경우가 가장 좋은 상관관계를 나타내었다. Carbamylation 반응에 관한 LFER분석 결과, PNMC에서는 공명(R)-효과(40%)보다 장 (F) 효과(60%)가 약간 컸으나(F>R), MXNMC의 경우에는 R-효과(98.6%)가 F-효과(1.4%)보다 월등히 큰 값($R{\gg}F$)을 보였다. 이와 같은 사실로부터 MXNMC의 살충작용이 증진되는 것은 m-dimethyl group에 의한 hyperconjugation의 결과라고 믿어진다.

• 대한기계학회논문집A
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• 제35권2호
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• pp.207-212
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• 2011

유압 브레이커는 굴착기의 암 끝에 장착되어 파쇄작업을 하는 부착작업기이다. 그러나 굴착기의 성능에 치명적인 영향을 미치는 유압 브레이커의 중량에 대한 연구는 아직 없었다. 따라서 본 연구에서는 유압 브레이커에서 대부분의 중량을 차지하고 있는 하우징에 대한 최적설계를 수행하였다. 유압 브레이커 하우징의 설계 요구사항은 정상 운전상태에서 파손없이 중량을 최소화하는 것이다. 직교배열표를 이용하여 실험점을 선정하였고, 실험점에서의 결과를 바탕으로 근사모델을 생성하여 최적 설계안을 도출하였다. 그 결과, 모든 구속조건을 만족하면서 유압 브레이커 하우징의 중량을 4.8% 감소시켰다.

• Computers and Concrete
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• 제32권6호
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• pp.577-594
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• 2023

Engineered cementitious composites with calcined clay limestone cement (LC³-ECC) as a kind of green, low-carbon and high toughness concrete, has recently received significant investigation. However, the complicated relationship between potential influential factors and LC³-ECC compressive strength makes the prediction of LC³-ECC compressive strength difficult. Regarding this, the machine learning-based prediction models for the compressive strength of LC³-ECC concrete is firstly proposed and developed. Models combine three novel meta-heuristic algorithms (golden jackal optimization algorithm, butterfly optimization algorithm and whale optimization algorithm) with support vector regression (SVR) to improve the accuracy of prediction. A new dataset about LC³-ECC compressive strength was integrated based on 156 data from previous studies and used to develop the SVR-based models. Thirteen potential factors affecting the compressive strength of LC³-ECC were comprehensively considered in the model. The results show all hybrid SVR prediction models can reach the Coefficient of determination (R²) above 0.95 for the testing set and 0.97 for the training set. Radar and Taylor plots also show better overall prediction performance of the hybrid SVR models than several traditional machine learning techniques, which confirms the superiority of the three proposed methods. The successful development of this predictive model can provide scientific guidance for LC³-ECC materials and further apply to such low-carbon, sustainable cement-based materials.

• 한국지리정보학회지
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• 제25권3호
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• pp.74-99
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• 2022

지상 오존은 차량 및 산업 현장에서 배출된 질소화합물(Nitrogen oxides; NOx)과 휘발성 유기화합물(Volatile Organic Compounds; VOCs)의 광화학 반응을 통해 생성되어 식생 및 인체에 악영향을 끼친다. 국내에서는 실시간 오존 모니터링을 수행하고 있지만 관측소 기반으로, 미관측 지역의 공간 분포 분석에 어려움이 있다. 본 연구에서는 스태킹 앙상블 기법을 활용하여 매시간 남한 지역의 지상 오존 농도를 1.5km의 공간해상도로 공간내삽하였고, 5-fold 교차검증을 수행하였다. 스태킹 앙상블의 베이스 모델로는 코크리깅(Cokriging), 다중 선형 회귀(Multi-Linear Regression; MLR), 랜덤 포레스트(Random Forest; RF), 서포트 벡터 회귀(Support Vector Regression; SVR)를 사용하였다. 각 모델의 정확도 비교 평가 결과, 스태킹 앙상블 모델이 연구 기간 내 시간별 평균 R 및 RMSE이 0.76, 0.0065ppm으로 가장 높은 성능을 보여주었다. 스태킹 앙상블 모델의 지상 오존 농도 지도는 복잡한 지형 및 도시화 변수의 특징이 잘 드러나며 더 넓은 농도 범위를 보여주었다. 개발된 모델은 매시간 공간적으로 연속적인 공간 지도를 산출할 수 있을 뿐만 아니라 8시간 평균치 산출 및 시계열 분석에 있어서도 활용 가능성이 클 것으로 기대된다.

• 한국소음진동공학회논문집
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• 제25권4호
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• pp.247-254
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• 2015

Ride comfort is one of the major factors in evaluating the performance of the vehicle. Tire is closely related to the ride comfort of the vehicle as the only parts in contact with the road surface directly. Vertical stiffness which is one of the parameters to evaluate the tire performance is great influence on the ride comfort. In general, the lower the vertical stiffness, the ride comfort is improved. Research for improving the ride comfort has been mainly carried out by optimizing the shape of the pneumatic tire. However, demand for safety of the vehicle has been increased recently such as a run-flat tire which is effective in safety improvement. But a run-flat tire have trouble in practical use because of poor ride comfort than general tire. Therefore, In this paper, the research was carried out for improving the ride comfort through the optimization of the SIR shape inside a run-flat tire. Meta-model was generated by using the design of experiment and it was able to reduce the time for the finite element analysis of optimization. In addition, Shape optimization for improving the ride comfort was performed by using the genetic algorithm which is one of the global optimization techniques.

• BMB Reports
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• 제44권9호
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• pp.578-583
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• 2011

Aspartate aminotransferase (AST) and alanine aminotransferase (ALT) are biochemical markers used to test for liver diseases. Copy number variation (CNV) plays an important role in determining complex traits and is an emerging area in the study various diseases. We performed a genome-wide association study with liver function biomarkers AST and ALT in 407 unrelated Koreans. We assayed the genome-wide variations on an Affymetrix Genome-Wide 6.0 array, and CNVs were analyzed using HelixTree. Using single linear regression, 32 and 42 CNVs showed significance for AST and ALT, respectively (P value < 0.05). We compared CNV-based genes between the current study (KARE2; AST-140, ALT-172) and KARE1 (AST-1885, ALT-773) using NetBox. Results showed 9 genes (CIDEB, DFFA, PSMA3, PSMC5, PSMC6, PSMD12, PSMF1, SDC4, and SIAH1) were overlapped for AST, but no overlapped genes were found for ALT. Functional gene annotation analysis shown the proteasome pathway, Wnt signaling pathway, programmed cell death, and protein binding.

• 한국해양공학회지
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• 제26권6호
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• pp.80-85
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• 2012

The methods of robust design optimization (RDO) and reliability-based robust design optimization (RBRDO) were implemented in the present study. RBRDO is an integrated method that accounts for the design robustness of an objective function and for the reliability of constraints. The objective function in RBRDO is expressed in terms of the mean and standard deviation of an original objective function. Thus, a multi-objective formulation is employed. The regressive approximate models are generated via the moving least squares method (MLSM) and constraint-feasible moving least squares method (CF-MLSM), which make it possible to realize the feasibility regardless of the multimodality/nonlinearity of the constraint function during the approximate optimization processes. The regression model based RBRDO is newly devised and its numerical characteristics are explored using the design of an actively controlled ten bar truss structure.

• Journal of Ecology and Environment
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• 제45권3호
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• pp.152-162
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• 2021

Background: Recent declines in bee populations, along with increasing demand for pollination services in urban, agricultural, and natural environments, have led to strategies to attract wild bees to these areas. One of these strategies is installing artificial nests adjacent to urban gardens and agricultural farms. Bee hotels and nest boxes are among the artificial nests used by gardeners and farmers to attract pollinators. In this paper, we reviewed 50 studies that reported the efficiency of nest boxes and bee hotels in attracting bees. We considered the maximum occupation rate (percentage) as the main index to evaluate the efficiency of artificial nests. Results: The maximum occupation rate of bee hotels was higher in farms (averaged 44.1%) than in forests (averaged 30.3%) and urban (averaged 38.3%) environments. In the case of nest boxes, most studies reported efficiencies of less than 20%, with an occupation rate of 16% and 5.5% on average in forest and urban environments respectively. However, our meta-analysis results showed that there was no significant relationship between the occupation rate of the nests and their installation place. Regression analysis also showed that the structural features of bee hotels (length and diameter) and nest boxes (volume and entrance size) did not affect their efficiency in attracting bees. Conclusion: Our data showed that the strategy of installing artificial nests to attract pollinators is successful only concerning bee hotels, and the use of nest boxes has not been very successful.

• 대한원격탐사학회지
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• 제36권5_3호
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• pp.1053-1066
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• 2020

이산화황(SO₂)은 대기 중 화학 반응을 통해 2차 대기오염물질을 생성하는 전구체로, 주로 산업활동이나 주거 및 교통 활동 등을 통해 배출된다. 장기간 노출 시 호흡기 질환이나 심혈관 질환 등을 유발하여 인체 건강에 부정적인 영향을 미칠 수 있기 때문에 이에 대한 지속적인 모니터링이 필요하다. 우리나라에서는 SO₂에 대해 관측소 기반의 모니터링이 수행되고 있으나 이는 공간적으로 연속적인 정보를 제공하는 데에 한계가 있다. 따라서, 본 연구에서는 위성자료와 수치모델 자료를 융합하여 일별 13시를 타겟으로 하는 1 km의 고해상도로 공간적으로 연속적인 SO₂ 지상농도를 산출하였다. 2015년 1월부터 2019년 4월까지의 기간 동안 남한 지역에 대하여 스태킹 앙상블 기법을 이용하여 SO₂ 지상농도 추정 모델을 개발하였다. 스태킹 앙상블 기법이란 여러가지 기계학습 기법을 두 단계로 쌓는 방식으로 융합하여 단일 모델 대비 더 향상된 성능을 도출하는 방법이다. 본 연구에서는 베이스 모델로는 RF (Random Forest)와 XGB (eXtreme Gradient BOOSTing) 기법이, 메타 모델로는 MLR (Multiple Linear Regression) 기법이 사용되었다. 구축된 모델의 교차검증 결과 메타 모델은 상관계수(R) = 0.69와 root-mean-squared-error(RMSE) = 0.0032 ppm의 결과를 보였으며 이는 베이스 모델의 평균 대비 약 25% 향상된 안정성을 보였다. 또한 모델 구축에 사용되지 않은 기간에 대한 예측 검증을 수행하여 모델의 일반화 가능성을 평가하였다. 구축된 모델을 이용하여 남한 지역의 SO₂ 지상농도 공간분포를 분석한 결과 일반적인 계절성과 배출원의 변화를 잘 반영하는 패턴을 보임을 확인하였다.