• 한국재료학회지
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• 제32권8호
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• pp.345-353
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• 2022

In this study, using deep learning, super-resolution images of transmission electron microscope (TEM) images were generated for nanomaterial analysis. 1169 paired images with 256 × 256 pixels (high resolution: HR) from TEM measurements and 32 × 32 pixels (low resolution: LR) produced using the python module openCV were trained with deep learning models. The TEM images were related to DyVO₄ nanomaterials synthesized by hydrothermal methods. Mean-absolute-error (MAE), peak-signal-to-noise-ratio (PSNR), and structural similarity (SSIM) were used as metrics to evaluate the performance of the models. First, a super-resolution image (SR) was obtained using the traditional interpolation method used in computer vision. In the SR image at low magnification, the shape of the nanomaterial improved. However, the SR images at medium and high magnification failed to show the characteristics of the lattice of the nanomaterials. Second, to obtain a SR image, the deep learning model includes a residual network which reduces the loss of spatial information in the convolutional process of obtaining a feature map. In the process of optimizing the deep learning model, it was confirmed that the performance of the model improved as the number of data increased. In addition, by optimizing the deep learning model using the loss function, including MAE and SSIM at the same time, improved results of the nanomaterial lattice in SR images were achieved at medium and high magnifications. The final proposed deep learning model used four residual blocks to obtain the characteristic map of the low-resolution image, and the super-resolution image was completed using Upsampling2D and the residual block three times.

• 대한한방내과학회지
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• 제44권1호
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• pp.1-11
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• 2023

Objective: There are currently no disease-modifying medications or definite long-term sustainable interventions for patients with Parkinson's disease (PD), indicating an unmet treatment need. Our goal was to create a long-term sustainable intervention for PD patients that can be used in Korean medicine clinics. Methods: The Meridian Activation Remedy System (MARS) was created to stimulate a patient's 12 meridians and sinew channels using a combination of acupoint stimulation and exercise. The acupoints and motions used in MARS were selected through literature studies and expert advice. The methodologies were refined using observational and case studies. With slow and fast movements, the MARS intervention was intended to activate both slow- and fast-twitch muscle fibers. Intradermal acupuncture and motion that shift the center of gravity were employed to enhance the patient's balance and proprioception. In addition, the intervention included alternating movement exercises to address the complex cognitive decline commonly occurring in PD patients. Results: The following acupoints were chosen for the MARS intervention: bilateral Hegu (LI4), Houxi (SI3), Waiguan (TE5), Neiguan (PC6), Zhongchong (PC9), Yuji (LU10), Zusanli (ST36), Yanglingquan (GB34), Taichong (LR3), Kunlun (BL60), and Taixi (KI3). We also developed actions that can stimulate the body's 12 meridians. Conclusion: We developed the MARS intervention, which combines acupuncture and exercise, to address the unmet therapeutic needs of PD patients. We hope that with additional research, the MARS intervention can be set as an effective therapeutic program for PD patients.

• 대한예방한의학회지
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• 제27권1호
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• pp.1-16
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• 2023

Objective : To investigate syndrome identification, herbal prescriptions, acupuncture point and other treatment, this study systematically reviewed case studies on Korean medicine (KM) treatment for urticaria. Method : Literature searches were performed on four Korean database; OASIS, RISS, KTKP and NDSL. Studies published before December 2022 were categorized and analyzed according to the herbal prescriptions. Results : Thirty-three studies including 16 case series and 17 single case reports were included in our review and the total number of patients was 523. Ancient prescriptions (古方) were used in 7 studies and prescriptions of Sasang constitutions were used in 8 studies and 18 studies used prescriptions of posterity (後世方). Wind-Heat (風熱) and syndrome identifications associated with digestive function were used frequently. Nineteen studies used acupuncture combined with herbal medicine and mainly used acupoints were ST36 (足三里), LI4 (合谷), LI11 (曲池), LR3 (太衝), SP6 (三陰交), CV12 (中脘), SP10 (血海). External herbal medicine was used in only 3 studies. Conclusion : To increase the cure rate of KM, various prescriptions should be used according to the symptom and stage of urticaria. Diversification of herbal formulations and the development of new external medicines are also necessary to conduct additional clinical studies with a high level of evidence.

• 방송공학회논문지
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• 제28권2호
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• pp.178-184
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• 2023

카메라로 촬영한 야외 일반 영상에서 텍스트 이미지를 찾아내고 그 내용을 인식하는 기술은 로봇 비전, 시각 보조 등의 기반으로 활용될 수 있는 매우 중요한 기술이다. 하지만 텍스트 이미지가 저해상도인 경우에는 텍스트 이미지에 포함된 노이즈나 블러 등의 열화가 더 두드러지기 때문에 텍스트 내용 인식 성능의 하락이 발생하게 된다. 본 논문에서는 일반 영상에서의 저해상도 한글 텍스트에 대한 이미지 초해상화를 통해서 텍스트 인식 정확도를 개선하였다. 트랜스포머에 기반한 모델로 한글 텍스트 이미지 초해상화를 수행 하였으며, 직접 구축한 고해상도-저해상도 한글 텍스트 이미지 데이터셋에 대하여 제안한 초해상화 방법을 적용했을 때 텍스트 인식 성능이 개선되는 것을 확인하였다.

• 한국수자원학회:학술대회논문집
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• 한국수자원학회 2023년도 학술발표회
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• pp.327-327
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• 2023

인간 활동의 영향으로 인한 기후변화는 지구의 물 순환을 변화시키며 결과적으로 수문학적 재해의 발생빈도와 강도를 변화시킬 것으로 전망한다. 파키스탄은 기후변화에 대한 기여도가 적음에도 불구하고 기후변화로 인한 피해가 큰 나라 중 하나이다. 파키스탄은 2022년 여름 국가의 30% 이상의 지역이 침수되며 3300만명이 피해를 받은 기록적인 홍수를 겪은 바 있다. 본 연구에서는 하천 물리 모델인 Catchment based Macro-scale Floodplain (CaMa-Flood)를 사용하여 2022년 파키스탄에서 발생한 홍수에 대하여 인간 활동에 의한 기후변화 영향을 평가했다. 결합모델간 상호비교 프로젝트 (Coupled Model Intercomparision Project Phase 6, CMIP6)에 참여한 모형들 중, 일 유출량을 제공하는 4개의 전구기후모델 (CanESM5, CNRM-CM6-1, HadGEM3-GC31-LL, IPSL-CM6A-LR)을 선정하였다. 본 연구는 선정된 모델을 기반으로 지난 1950-2014년의 총 65년간, 인간의 영향을 제외한 hist-nat과 인간의 영향이 포함된 historical 시뮬레이션 결과를 비교하여 홍수에 대한 인간 활동의 기여도를 평가하였다. 각 hist-nat과 historical 시뮬레이션에서 산출된 일 유출량을 CaMa-Flood의 입력 자료로 사용하여, 파키스탄 지역의 자연 변동성 및 인위적 강제력이 영향을 미치는 하천 유량, 저수량, 범람 면적 및 수위 등을 계산하였다. 연구 결과, 인간 활동이 2022년 파키스탄 홍수의 하천 범람 면적 및 총 하천 유량 증가에 영향을 미쳤으며, 이는 자연 변동성만을 고려한 hist-nat 시뮬레이션과의 비교를 통해 차이를 확인하였다. 이는 향후 파키스탄 지역에서 발생하는 홍수 사례 전망 및 유엔 기후변화협약당사국총회(COP27)에서 의제로 채택된 기후변화로 인한 손실과 피해의 보상에 대한 구체적인 근거에 도움이 될 것으로 보인다.

• 대한한의학회지
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• 제43권4호
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• pp.131-144
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• 2022

Objectives: This study aimed to review clinical studies on thread embedding acupuncture (TEA) for the treatment of patients with post-stroke spasticity (PSS) Methods: Clinical studies related to TEA treatment for PSS were searched for in several electronic databases, including PubMed, Cochrane Library, MEDLINE, OASIS, and CNKI. After the selection/exclusion process, information on study design, disease, experimental/control group, intervention, outcome measurement, between-group differences, and adverse events was extracted. Results: A total of 13 randomized controlled trials were included in this review. The usual frequency of TEA treatment was once every 1-2 weeks, and the treatment most commonly included 4 sessions. In the dorsal area, EX-B2 and the acupoints in governing vessel meridian were commonly used. Acupoints in the meridian of the large intestine were most frequently used in the treatment of upper limb spasticity. Except for HT1, PC6, and PC8, all TEA points for treating PSS of the upper limb were on the Yang meridians. For the lower limb spasticity, the most frequently used acupoints were ST36, GB34, GB30, BL60, and BL57 on Yang meridians, and LR3, SP6, SP9, and SP10 on Yin meridians. TEA treatment showed better effects than conventional treatment for PSS in terms of spasticity, motor dysfunction, and activities of daily livings. Nevertheless, the absence of the follow-up observation, lack of sham TEA treatment, and low quality of the included studies necessitated caution in interpreting the results. Conclusions: The results of this review are expected to provide basic data on the modalities of TEA treatment for PSS and provide insights to facilitate well-designed studies in the future.

• International Journal of Industrial Entomology and Biomaterials
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• 제46권2호
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• pp.41-54
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• 2023

The blue-tailed damselfly, Ischnura elegans Van der Linden, 1820 (Odonata: Coenagrionidae), is a climate-sensitive indicator species in South Korea. In this study, we sequenced the complete mitochondrial genome (mitogenome) of I. elegans collected from South Korea for subsequent population genetic analysis, particularly to trace population movements in response to climate change. The 15,963 base pair (bp)-long complete mitogenome of I. elegans has typical sets of genes including a major non-coding region (the A+T-rich region), and an arrangement identical to that observed in ancestral insect species. The ATP6, ND3 and ND1 genes have the TTG start codon, which, although rare, is the canonical start codon for animal mitochondrial tRNA. The A/T content was 71.4% in protein-coding genes, 72.1% in tRNAs, 72.9% in the whole genome, 74.7% in srRNA, 75.3% in lrRNA, and 83.8% in the A+T-rich region. The A+T-rich region is unusually long (1,196 bp) and contains two subunits (192 bp and 176-165 bp), each of which is tandemly triplicated and surrounded by non-repeat sequences. Comparison of the sequence divergence among available mitogenomes of I. elegans, including the one from the current study, revealed ND2 as the most variable gene, followed by COII and COI, suggesting that ND2 should be targeted first in subsequent population-level studies. Phylogenetic reconstruction based on all available mitogenome sequences of Coenagrionidae showed a strong sister relationship between I. elegans and I. senegalensis.

• 한국지반공학회논문집
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• 제39권6호
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• pp.5-12
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• 2023

산사태 위험 지역을 사전에 조사하여 설정하는 것은 다수의 피해를 줄이기 위해 필요하다. 해당 연구의 목적은 machine learning 기법 중 분류 알고리즘을 활용하여 대상 지반의 안전율 분류를 수행할 수 있는 방법론을 제시하는 것이다. 산사태 위험 지역은 high risk area(HRA) 모델을 적용하였으며, 8개의 지반공학 물성치를 통해 위험 지역을 판단하였다. 분류 알고리즘은 decision tree(DT), K-Nearest Neighbor(KNN), logistic regression(LR) 그리고 random forest(RF)의 4가지가 활용 되었으며, 안전율 1.2~2.0 범위에 8가지 지반공학 물성치의 분류 정확도를 계산하였다. 정확도는 안전율이 1.2~1.7 범위에서 신뢰성 높게 나타났지만, 그 외 범위인 1.8~2.0 사이에서는 상대적으로 낮은 정확도를 보였다. 이를 극복하기 위하여 synthetic minority over-sampling technique(SMOTE) 알고리즘을 적용하여 데이터 개수를 증폭하였으며, 증폭한 데이터를 통해 분류 알고리즘을 적용하면 안전율 1.8~2.0 범위에서 정확도가 평균적으로 약 250% 증가한 것으로 나타났다. 해당 연구 결과는 SMOTE 알고리즘이 데이터 개수를 향상시켜 분류 알고리즘의 정확도가 개선된 것을 보여주며, 타 분야에도 정확도 향상에 적용 가능하다고 판단된다.

• 한국수자원학회:학술대회논문집
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• 한국수자원학회 2022년도 학술발표회
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• pp.99-99
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• 2022

Jeju island has a humid subtropical climate and this climate zone is expected to migrate northward toward the main land, Korea Peninsula, as temperature increases are accelerated. Vegetation type has been inevitably shifted along with the climatic change, having more subtropical species native in southeast Asia or even in Africa. With the forest composition shift, it becomes more important than ever to analyze the water balance of the forest wihth the ongoing as well as upcoming climate change. Here, we implemented the Ecosystem Demography Biosphere Model (ED2) by initializing the key variables using forest inventory data (diameter at breast height in 2012). Out of 10,000 parameter sets randomly generated from prior distribution distributions of each parameter (i.e., Monte-Carlo Method), we selected four behavioral parameter sets using remote-sensing data (LAI-MOD15A2H, GPP-MOD17A2H, and ET-MOD16A2, 8-days at 500-m during 2001-2005), and evaluated the performances using eddy-covariance carbon flux data (2012 Mar.-Sep. 30-min) and remote sensing data between 2006-2020. We simulated each of the four RCP scenarios (2.6, 4.5, 6.0, and 8.5) from four climate forcings (GFDL-ESM2M, HadGEM2-ES, IPSL-CM5A-LR, and MIROC5 from ISIMIP2b). Based on those 64 simulation sets, we estimate the changes in water balance resulting from the forest composition shift, and also uncertainty in the estimates and the sensitivity of the estimates to the parameters, climate forcings, and RCP scenarios.

• Korean Journal of Radiology
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• 제22권3호
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• pp.354-365
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• 2021

Objective: To investigate the diagnostic performance of contrast-enhanced ultrasound (CEUS) and its role as a second-line imaging modality after gadoxetate-enhanced MRI (Gd-EOB-MRI) in the diagnosis of hepatocellular carcinoma (HCC) among at risk observations. Materials and Methods: We prospectively enrolled participants at risk of HCC with treatment-naïve solid hepatic observations (≥ 1 cm) of Liver Imaging Reporting and Data System (LR)-3/4/5/M during surveillance and performed Gd-EOB-MRI. A total of one hundred and three participants with 103 hepatic observations (mean size, 28.2 ± 24.5 mm; HCCs [n = 79], non-HCC malignancies [n = 15], benign [n = 9]; diagnosed by pathology [n = 57], or noninvasive method [n = 46]) were included in this study. The participants underwent CEUS with sulfur hexafluoride. Arterial phase hyperenhancement (APHE) and washout on Gd-EOB-MRI and CEUS were evaluated. The distinctive washout in CEUS was defined as mild washout 60 seconds after contrast injection. The diagnostic ability of Gd-EOB-MRI and of CEUS as a second-line modality for HCC were determined according to the European Association for the Study of the Liver (EASL) and the Korean Liver Cancer Association and National Cancer Center (KLCA-NCC) guidelines. The diagnostic abilities of both imaging modalities were compared using the McNemar's test. Results: The sensitivity of CEUS (60.8%) was lower than that of Gd-EOB-MRI (72.2%, p = 0.06 by EASL; 86.1%, p < 0.01 by KLCA-NCC); however, the specificity was 100%. By performing CEUS on the inconclusive observations in Gd-EOB-MRI, HCCs without APHE (n = 10) or washout (n = 12) on Gd-EOB-MRI further presented APHE (80.0%, 8/10) or distinctive washout (66.7%, 8/12) on CEUS, and more HCCs were diagnosed than with Gd-EOB-MRI alone (sensitivity: 72.2% vs. 83.5% by EASL, p < 0.01; 86.1% vs. 91.1% by KCLA-NCC, p = 0.04). There were no false-positive cases for HCC on CEUS. Conclusion: The addition of CEUS to Gd-EOB-MRI as a second-line diagnostic modality increases the frequency of HCC diagnosis without changing the specificities.