• The Korean Journal of Physiology and Pharmacology
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• 제14권6호
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• pp.371-376
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• 2010

Glycyrrhizae radix (GR) is an herbal medicine that is commonly used in the East Asia for treating a variety of diseases, including stomach disorders. The objective of the present study was to examine the anti-stress effects of GR on repeated stress-induced alterations of anxiety, learning and memory in rats. Restraint stress was administered for 14 days (2 h/day) to the rats in the Control and GR groups (400 mg/kg/day, PO). Starting on the eighth day, the rats were tested for spatial memory on the Morris water maze test (MW) and for anxiety on the elevated plus maze (EPM). We studied the changes of the expressions of cholineacetyl transferase (ChAT) and tyrosine hydroxylase (TH) in the locus coerleus (LC) using immunohistochemistry. The results showed that the rats treated with GR had significantly reduced stress-induced deficits on their learning and memory on the spatial memory tasks. In addition, the ChAT immunoreactivities were increased. Gor the EPM, treatment with GR increased the time spent in the open arms (p<0.001) as compared to that of the control group. Moreover, GR treatment also normalized the increases of the TH expression in the LC (p<0.001). In conclusion, administration of GR improved spatial learning and memory and reduced stress-induced anxiety. Thus, the present results suggest that GR has the potential to attenuate the behavioral and neurochemical impairments caused by stress.

• Toxicological Research
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• 제33권2호
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• pp.165-171
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• 2017

Bisphenol A (BPA) is a monomer used in a polymerization reaction in the production of polycarbonate plastics. It has been used in many consumer products, including plastics, polyvinyl chloride, food packaging, dental sealants, and thermal receipts. However, there is little information available on the inhalation toxicity of BPA. Therefore, the aim of this study was to determine its inhalation toxicity and effects on the estrous cycle, spatial learning, and memory. Sprague-Dawley rats were exposed to 0, 10, 30, and $90mg/m^3$ BPA, 6 hr/day, 5 days/week for 8 weeks via whole-body inhalation. Mortality, clinical signs, body weight, hematology, serum chemistry, estrous cycle parameters, performance in the Morris water maze test, and organ weights, as well as gross and histopathological findings, were compared between the control and BPA exposure groups. Statistically significant changes were observed in serum chemistry and organ weights upon exposure to BPA. However, there was no BPA-related toxic effect on the body weight, food consumption, hematology, serum chemistry, organ weights, estrous cycle, performance in the Morris water maze test, or gross or histopathological lesions in any male or female rats in the BPA exposure groups. In conclusion, the results of this study suggested that the no observable adverse effect level (NOAEL) for BPA in rats is above $90mg/m^3$/6 hr/day, 5 days/week upon 8-week exposure. Furthermore, BPA did not affect the estrous cycle, spatial learning, or memory in rats.

• 전기전자학회논문지
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• 제24권4호
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• pp.1141-1147
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• 2020

말벌 종은 모양이 매우 유사하기 때문에 비전문가가 분류하기 어렵고, 객체의 크기가 작고 빠르게 움직이기 때문에 실시간으로 탐지하여 종을 분류하는 것은 더욱 어렵다. 본 논문에서는 바운딩 박스를 이용한 딥러닝 알고리즘을 기반으로 말벌 종을 실시간으로 분류하는 시스템을 개발하였다. 훈련 영상의 레이블링 작업 시 바운딩 박스 안에 포함되는 배경 영역을 최소화하기 위하여 말벌의 머리와 몸통 부분만을 선택하는 방법을 제안한다. 또한 실시간으로 말벌을 탐지하고 그 종을 분류할 수 있는 최선의 알고리즘을 찾기 위하여 기존의 바운딩 박스 기반 객체 인식 알고리즘들을 실험을 통하여 비교한다. 실험 결과 컨볼루션 레이어의 활성함수로 mish 함수를 적용하고, 객체 검출 블록 전에 공간집중모듈(Spatial Attention Module, SAM)을 적용한 YOLOv4 모델을 사용하여 말벌 영상을 테스트한 경우 평균 97.89%의 정밀도(Precision)와 98.69%의 재현율(Recall)을 나타내었다.

• 운동영양학회지
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• 제13권2호
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• pp.115-122
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• 2009

Intracerebral hemorrhage (ICH) is a common cause of stroke, and it occurs mainly in the striatum, thalamus, cerebellum, and pons. Physical exercise is known to ameliorate neurologic impairment induced by various brain insults. In the present study, the influence of pre-and post-conditioning of treadmill exercise on spatial learning ability, the lesion volume, and apoptotic neuronal cell death in the striatum following ICH in rats was investigated. ICH in the striatum was induced by injection of collagenase using strereotaxic instrument. The rats in the pre-exercise group were scheduled to run on a treadmill before ICH induction for 2 consecutive weeks. The rats in the post-exercise group were scheduled to run on a treadmill after ICH induction for 2 weeks. The rats in the pre-exercise and post-exercise group were scheduled to run on a preconditioning treadmill exercise 2 weeks before ICH induction until postconditioning treadmill exercise 2 weeks after ICH induction, except the day of surgery. For this study, radial arm maze task, Nissl staining, terminal deoxynucleotidyl transferase-mediated dUTP nick end labeling (TUNEL) assay, and immunohistochemistry for caspase-3 were performed. Our date showed that treadmill exercise suppressed the ICH-induced apoptotic neuronal cell death and decreased lesion volume in the stratum. Treadmill exercise also alleviated the ICH-induced impairment of spatial learning ability. Preconditioning treadmill exercise before the ICH insult and postconditioning treadmill exercise after the ICH insult showed similar effectiveness on the recovery of ICH. In this study, however, preconditioning exercise before the ICH insult and postconditioning exercise after the ICH insult showed the most potent effectiveness on the recovery of ICH.

• Korean Journal of Radiology
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• 제23권7호
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• pp.752-762
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• 2022

Objective: To compare a deep learning-based reconstruction (DLR) algorithm for pediatric abdominopelvic computed tomography (CT) with filtered back projection (FBP) and iterative reconstruction (IR) algorithms. Materials and Methods: Post-contrast abdominopelvic CT scans obtained from 120 pediatric patients (mean age ± standard deviation, 8.7 ± 5.2 years; 60 males) between May 2020 and October 2020 were evaluated in this retrospective study. Images were reconstructed using FBP, a hybrid IR algorithm (ASiR-V) with blending factors of 50% and 100% (AV50 and AV100, respectively), and a DLR algorithm (TrueFidelity) with three strength levels (low, medium, and high). Noise power spectrum (NPS) and edge rise distance (ERD) were used to evaluate noise characteristics and spatial resolution, respectively. Image noise, edge definition, overall image quality, lesion detectability and conspicuity, and artifacts were qualitatively scored by two pediatric radiologists, and the scores of the two reviewers were averaged. A repeated-measures analysis of variance followed by the Bonferroni post-hoc test was used to compare NPS and ERD among the six reconstruction methods. The Friedman rank sum test followed by the Nemenyi-Wilcoxon-Wilcox all-pairs test was used to compare the results of the qualitative visual analysis among the six reconstruction methods. Results: The NPS noise magnitude of AV100 was significantly lower than that of the DLR, whereas the NPS peak of AV100 was significantly higher than that of the high- and medium-strength DLR (p < 0.001). The NPS average spatial frequencies were higher for DLR than for ASiR-V (p < 0.001). ERD was shorter with DLR than with ASiR-V and FBP (p < 0.001). Qualitative visual analysis revealed better overall image quality with high-strength DLR than with ASiR-V (p < 0.001). Conclusion: For pediatric abdominopelvic CT, the DLR algorithm may provide improved noise characteristics and better spatial resolution than the hybrid IR algorithm.

• 대한원격탐사학회지
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• 제37권5_1호
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• pp.1149-1161
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• 2021

컴퓨터 비전 기술이 위성영상에 적용되면서, 최근 들어 딥러닝 영상인식을 이용한 구름 탐지가 관심을 끌고 있다. 본연구에서는 SPARCS (Spatial Procedures for Automated Removal of Cloud and Shadow) Cloud Dataset과 영상자료증대 기법을 활용하여 U-Net 구름탐지 모델링을 수행하고, 10폴드 교차검증을 통해 객관적인 정확도 평가를 수행하였다. 512×512 화소로 구성된 1800장의 학습자료에 대한 암맹평가 결과, Accuracy 0.821, Precision 0.847, Recall 0.821, F1-score 0.831, IoU (Intersection over Union) 0.723의 비교적 높은 정확도를 나타냈다. 그러나 구름그림자 중 14.5%, 구름 중 19.7% 정도가 땅으로 잘못 예측되기도 했는데, 이는 학습자료의 양과 질을 보다 더 향상시킴으로써 개선 가능할 것으로 보인다. 또한 최근 각광받고 있는 DeepLab V3+ 모델이나 NAS(Neural Architecture Search) 최적화 기법을 통해 차세대중형위성 1, 2, 4호 등의 구름탐지에 활용 가능할 것으로 기대한다.

• 실천공학교육논문지
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• 제14권2호
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• pp.367-376
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• 2022

본 연구에서는 학습자 관점에서 메타버스 플랫폼인 '스페이셜'을 중심으로 수업 도구로서의 사용자 경험을 분석하였다. 대학 수업에서의 메타버스 플랫폼 스페이셜의 사용성 평가를 위하여 SUS를 활용하였고, 스페이셜을 활용한 수업에 대한 몰입감과 만족도를 평가하기 위하여 Magnitude Estimation 방법을 활용하였다. 그리고 수업 도구로서의 스페이셜 사용에 관한 사용자 경험 의견을 수집하기 위하여 설문기법을 활용하였다. 스페이셜 시스템에 대한 사용성 평가 결과를 보면 수강생들은 스페이셜의 사용성, 몰입감, 만족도에 대해 꽤 긍정적으로 평가하였다. 그리고 메타버스 플랫폼 스페이셜의 사용자 경험 내용을 보면, 수강생들은 메타버스가 비대면 공간 속에서도 많은 사람들의 모여 소통할 수 있는 장을 제공할 수 있는 교육 도구로서 그 효용가치를 높게 평가하는 것을 알 수 있었다. 메타버스는 다른 온라인 플랫폼에 비하여 사용편의성, 상호작용, 몰입감, 흥미유발을 장점으로 들 수 있다. 특히 키보드와 터치방식, 그리고 디스플레이 외에 음성, 동작, 시선 등 오감을 활용한 상호작용이 가능하다는 것이 큰 장점으로 인식되었다. 반면 메타버스의 높은 개방성과 자유도, 그리고 흥미요소는 학습을 촉진하는 동시에 저해 요인이 될 수 있음을 알 수 있었다. 그럼에도 불구하고 결론적으로 메타버스 플랫폼 '스페이셜'은 온라인 강의실 생성과 다양한 학습 기능들을 제공하고 있고, 교수자와 학습자 또는 학습자와 학습자 간의 다양한 상호작용이 가능하기 때문에 대학 수업에서 효과적으로 적용할 수 있을 것으로 판단된다.

• 실천공학교육논문지
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• 제14권3호
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• pp.535-541
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• 2022

줌(zoom)은 COVID19 이후 비대면 온라인 수업 도구로 가장 대중적으로 사용되어 왔다. 하지만 최근 메타버스의 확산으로 인하여 수업 목적으로 메타버스 플랫폼의 활용이 증가하고 있다. 메타버스 플랫폼은 로블록스, 제페토, 스페이셜 등의 여러가지 유형이 있지만, 스페이셜은 온라인 강의실 생성과 다양한 학습 기능들을 제공하고 있고, 교수자와 학습자 또는 학습자와 학습자 간의 다양한 상호작용이 가능하기 때문에 대학 수업에서의 활용 가능성이 높다. 온라인 수업에서 스페이셜의 활용성을 높이기 위해서는 다양한 관점에서의 연구가 필요하고, 특히 줌과 비교한 스페이셜의 학습자경험을 비교 분석하는 것이 필요하다. 본 연구에서는 학습자 경험을 비교분석하기 위하여 사용성, 몰입감, 만족도의 정량 분석과 학습자 의견에 대한 정성 분석을 수행하였다. 사용성 평가를 위하여 SUS(System Usability Scale)를 활용하였고, 몰입감과 만족도 평가를 위하여 Magnitude Estimation 방법을 활용하였다. 줌과 스페이셜을 활용한 수업에 참여했던 35명이 본 연구의 피실험자로 참여하였다. 줌과 스페이셜에 대한 사용성과 만족도는 줌이 스페이셜보다 유의수준 0.05에서 더 높게 나타났다. 반면 수업에 대한 몰입감은 스페이셜이 줌에 비해 더 높게 나타났다. 학습자들은 줌을 스페이셜보다 더 편하고 만족스럽게 생각하였다. 하지만, 스페이셜은 온라인 강의실 생성과 다양한 학습 기능들을 제공하고 있고, 교수자와 학습자 또는 학습자와 학습자 간의 다양한 인터랙션과 재미요소를 제공하기 때문에 수업에의 몰입도가 높게 나타났다. 향후 스페이셜의 사용자 인터페이스와 인터랙션의 개선이 이루어진다면 대학 수업에서 줌을 대체할 수 있는 효과적인 수업도구로 활용 가능할 것으로 판단된다.

• KEPCO Journal on Electric Power and Energy
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• 제7권2호
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• pp.323-328
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• 2021

Diagnostic models are required. Data augmentation is one of the best ways to improve deep learning performance. Traditional augmentation techniques that modify image brightness or spatial information are difficult to achieve great results. To overcome this, a generative adversarial network (GAN) technology that generates virtual data to increase deep learning performance has emerged. GAN can create realistic-looking fake images by competitive learning two networks, a generator that creates fakes and a discriminator that determines whether images are real or fake made by the generator. GAN is being used in computer vision, IT solutions, and medical imaging fields. It is essential to secure additional learning data to advance deep learning-based fault diagnosis solutions in the power industry where facilities are strictly maintained more than other industries. In this paper, we propose a method for generating power facility images using GAN and a strategy for improving performance when only used a small amount of data. Finally, we analyze the performance of the augmented image to see if it could be utilized for the deep learning-based diagnosis system or not.

• Asia pacific journal of information systems
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• 제32권3호
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• pp.656-683
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• 2022

The COVID-19 pandemic has profoundly affected the world, inflicting nationwide lockdowns interrupting conventional schooling through schools, colleges and universities. Educational institutions are struggling to maintain learning continuity through remote learning solutions. Still, the students' perception of this 'new normal' mode and pace of learning needs to be examined to ensure the success of these efforts. This study aimed at examining the perception of higher education students in India and Croatia especially with respect to the association between cultural orientation and the e-learning. The period considered for the data collection was from March 2020 to September 2020. Correspondence analysis was attempted to create spatial maps to depict the respondent choices. Students from both the regions agreed to the high-power distance that existed in their cultures and considered the role of device and content to be an important dimension of e-learning for it to be effective, but the results also pointed out some differences in their choices on other culture dimensions as well as factors affecting e-learning which make this study unique and suggest in-depth future research for conclusive results.