• 콘크리트학회논문집
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• 제22권3호
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• pp.375-380
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• 2010

이 연구에서는 파이넥스 슬래그 미분말을 혼합한 시멘트(OPC-FS)의 물성을 유동성, 압축강도, 수화열 및 $Ca(OH)_2$ 측정을 통해 알아보고, 비교를 위해 고로슬래그를 혼합한 시멘트(OPC-BFS)에서도 동일한 시험을 수행하였다. 유동성은 두 혼합시멘트에서 유사한 경향으로 나타났고, 비표면적 $4,000\;cm^2/g$에서 OPC-FS가 OPC-BFS보다 유동성이 우수하였다. 모르타르 압축강도 시험 결과 초기재령 3일에서 OPC-FS의 강도가 OPC-BFS보다 향상되었고, 수화열 측정 결과도 높게 나타났다. 또한 열분석 결과로부터 OPC-FS의 경우 수화반응을 위한 $Ca(OH)_2$의 급격한 소모를 확인할 수 있었다.

• Asian Pacific Journal of Cancer Prevention
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• 제13권5호
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• pp.1953-1956
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• 2012

Objective: The purpose of this study was to correlate the histological diagnosis made during intraoperative frozen section (FS) examination of hysterectomy samples with complex atypical endometrial hyperplasia (CAEH) diagnosed with definitive paraffin block histology. Methods: FS pathology results of 125 patients with a preoperative biopsy showing CAEH were compared retrospectively with paraffin block pathology findings. Results: Paraffin block results were consistent with FS in 78 of 125 patients (62.4%). The FS sensitivity and specificity of detecting cancer were 81.1% and 97.9%, with negative and positive predictive values of 76.7%, and 98.4%, respectively. Paraffin block results were reported as endometrial cancer in 77 of 125 (61.6%) patients. Final pathology was endometrial cancer in 45.3% patients diagnosed at our center and 76.9% for patients who had their diagnosis at other clinics (p=0.018). Paraffin block results were consistent with FS in 62.4% of all cases Consistence was 98.4% in patients who had endometrial cancer in FS. Conclusion: FS does not exclude the possibility of endometrial cancer in patients with the preoperative diagnosis of CAEH. In addition, sufficient endometrial sampling is important for an accurate diagnosis.

• Restorative Dentistry and Endodontics
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• 제39권3호
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• pp.180-186
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• 2014

Objectives: The purpose of this in vitro study was to evaluate the microleakage and penetration of fissure sealant in permanent molar teeth with fluorosis after pretreatment of the occlusal surface. Materials and Methods: A total of 120 third molars with mild dental fluorosis were randomly divided into 6 groups (n = 20). The tooth surfaces were sealed with an unfilled resin fissure sealant (FS) material. The experimental groups included: 1) phosphoric acid etching (AE) + FS (control); 2) AE + One-Step Plus (OS, Bisco) + FS; 3) bur + AE + FS; 4) bur + AE + OS + FS; 5) Er:YAG laser + AE + FS; and 6) Er:YAG laser + AE + OS + FS. After thermocycling, the teeth were immersed in 0.5% fuchsin and sectioned. Proportions of mircoleakage (PM) and unfilled area (PUA) were measured by digital microscope. Results: Overall, there were significant differences among all groups in the PM (p = 0.00). Group 3 showed the greatest PM, and was significantly different from groups 2 to 6 (p < 0.05). Group 6 showed the lowest PM. Pretreatment with Er:YAG with or without adhesive led to less PM than bur pretreatment. There were no significant differences among groups in PUA. Conclusions: Conventional acid etching provided a similar degree of occlusal seal in teeth with fluorosis compared to those pretreated with a bur or Er:YAG laser. Pretreatment of pits and fissures with Er:YAG in teeth with fluorosis may be an alternative method before fissure sealant application.

• 한국건설순환자원학회논문집
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• 제7권4호
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• pp.413-422
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• 2019

콘크리트 혼화재인 보통 포틀랜드 시멘트를 대체하기 위하여 페로실리콘 산업부산물을 적용하였다. 페로실리콘의 원재료 비표면적, 비중과 같은 기초물성은 실리카퓸과 매우 유사하다. 따라서 전체 혼화재 중량의 10%를 페로실리콘 또는 실리카퓸으로 치환한 콘크리트와 모르타르를 제작하여 페로실리콘의 혼화재로써의 사용 타당성을 평가하였고, 보통 포틀랜드 시멘트, 페로실리콘, 실리카퓸 콘크리트에 대한 비교 분석 결과를 나타냈다. 페로실리콘 콘크리트의 수화특성은 X선 회절 분석을 통하여 수행하였다. 페로실리콘 콘크리트는 압축강도, 염분침투 저항성, 공극 저감의 측면에서 보통 포틀랜드 시멘트 콘크리트 보다 장점을 보였으나 그 정도는 실리카퓸 보다 낮았다. 페로실리콘 콘크리트에 대하여 알칼리-실리카 반응에 의한 팽창 가능성이 확인되었는데 이는 실리카 입자의 뭉쳐진 덩어리 크기 때문인 것으로 판단된다.

• 한국정보과학회논문지:시스템및이론
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• 제36권4호
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• pp.247-258
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• 2009

저가의 하드웨어를 이용하는 분산 파일 시스템은 대용량의 저장 장치를 경제적으로 제공해주는 해법으로 많은 인터넷 서비스 업체에 의해 주목받고 있다. 본 논문에서는 대규모 이메일 서비스를 위한 분산 파일 시스템인 BeanFS의 설계와 구현에 대해 소개한다. BeanFS는 다음과 같이 이메일 서비스에 최적화되었다. 첫째, 이메일 서비스에서 이용되는 작고 많은 파일을 효과적으로 처리하기 위해서, 볼륨 기반의 복제 기법을 도입하여 중앙 서버의 병목현상을 완화시킨다. 둘째, 이메일 메시지의 단순한 접근 패턴을 고려하여 일관성 유지 기법을 경량화시킨다. 셋째, 재복제시에 발생하는 오버헤드를 줄이기 위해 일시적인 장애를 영구적인 장애와 분리하여 대처한다.

• Geomechanics and Engineering
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• 제25권1호
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• pp.1-16
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• 2021

Machine learning models have been widely used for landslide susceptibility assessment (LSA) in recent years. The large number of inputs or conditioning factors for these models, however, can reduce the computation efficiency and increase the difficulty in collecting data. Feature selection is a good tool to address this problem by selecting the most important features among all factors to reduce the size of the input variables. However, two important questions need to be solved: (1) how do feature selection methods affect the performance of machine learning models? and (2) which feature selection method is the most suitable for a given machine learning model? This paper aims to address these two questions by comparing the predictive performance of 13 feature selection-based machine learning (FS-ML) models and 5 ordinary machine learning models on LSA. First, five commonly used machine learning models (i.e., logistic regression, support vector machine, artificial neural network, Gaussian process and random forest) and six typical feature selection methods in the literature are adopted to constitute the proposed models. Then, fifteen conditioning factors are chosen as input variables and 1,017 landslides are used as recorded data. Next, feature selection methods are used to obtain the importance of the conditioning factors to create feature subsets, based on which 13 FS-ML models are constructed. For each of the machine learning models, a best optimized FS-ML model is selected according to the area under curve value. Finally, five optimal FS-ML models are obtained and applied to the LSA of the studied area. The predictive abilities of the FS-ML models on LSA are verified and compared through the receive operating characteristic curve and statistical indicators such as sensitivity, specificity and accuracy. The results showed that different feature selection methods have different effects on the performance of LSA machine learning models. FS-ML models generally outperform the ordinary machine learning models. The best FS-ML model is the recursive feature elimination (RFE) optimized RF, and RFE is an optimal method for feature selection.

• Steel and Composite Structures
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• 제42권2호
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• pp.277-288
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• 2022

A novel flat steel plate-concrete-corrugated steel plate (FS-C-CS) sandwich panel was proposed for resisting impact load. The failure mode, impact force and displacement response of the FS-C-CS panel under impact loading were studied via drop-weight impact tests. The combined global flexure and local indentation deformation mode of the FS-C-CS panel was observed, and three stages of impact process were identified. Moreover, the effects of corrugated plate height and steel plate thickness on the impact responses of the FS-C-CS panels were quantitatively analysed, and the impact resistant performance of the FS-C-CS panel was found to be generally improved on increasing corrugated plate height and thickness in terms of smaller deformation as well as larger impact force and post-peak mean force. The Finite Element (FE) model of the FS-C-CS panel under impact loading was established to predict its dynamic response and further reveal its failure mode and impact energy dissipation mechanism. The numerical results indicated that the concrete core and corrugated steel plate dissipated the majority of impact energy. In addition, employing end plates and high strength bolts as shear connectors could prevent the slip between steel plates and concrete core and assure the full composite action of the FS-C-CS panel.

• 한국수산과학회지
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• 제56권2호
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• pp.151-161
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• 2023

This study examined the nutritional characteristics of commercial Sik-hae (CS). The proximate composition per 100 g of CS: 12.7±3.8 g crude protein, 4.4±1.0 g crude lipid, and 6.0±1.2 ash. The total amino acid content range and average per 100 g of CS were 5.65-16.32 g and 11.69±3.76 g, respectively, and the major amino acids were aspartic acid and glutamic acid in all products. The major fatty acids of CS were 16:0 (all products), 18:1n-9 [8 types, flounder sik-hae (FS, all products), sandfish sik-hae (SS), anchovy sik-hae (AS) and black edged sculpin sik-hae (BESS)], 18:2n-6 (9 types, excluding AS), 20:5n-3 (4 types, FS-1, 2, 3, 5), and 22:6 [3 types, FS-3, Alaska pollock sik-hae (APS)-1 and AS]. As a supply source of mineral, 7 types (FS-1, 2, 3, 5, SS, AS and BESS) of calcium, 9 types [FS (all products), APS-1, SS, AS and BESS] of phosphorus, 6 types (FS-1, 3, 5, APS-1, SS and AS) of magnesium and 5 types (FS-1, 4, APS-2, SS and AS) of iron were expected.

• Nuclear Engineering and Technology
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• 제55권7호
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• pp.2621-2627
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• 2023

In Experimental Advanced Superconducting Tokamak (EAST) experiments, to achieve long pulse and high-power ICRH system operation, a new kind of ICRH antenna has been designed. One of the most critical factors in limiting the operation of long pulse and high power is the intense heat load in the front face of the ICRH antenna, especially the Faraday Screen (FS). Therefore, the cooling channels of FS need to be designed. According to thermal-hydraulic analysis, the FS tubes are divided into several groups to achieve more excellent water cooling capability. The number of series and parallel tubes in one group is chosen as six. This antenna went into service in the spring of 2021, and it is delightful that the temperature distribution of the FS tube is below 400 ℃ in 14.5 s and 1.8 MW ICRH system operation. However, the active water-cooling design was not carried out on the upper and lower plates of FS, which led to severe ablations on that region under long pulse and high power operation, and the temperature is up to 800. Therefore, the upper and lower side plates of the FS were designed with water cooling based on thermal-hydraulic analysis. During the 2022 winter experiments, the temperature of ICRH antenna FS was lower than 400 in the pulse of 200s and the power of 1 MW operation.

• Korean Journal of Radiology
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• 제22권5호
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• pp.782-791
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• 2021

Objective: To evaluate the signal intensity of the periosteum using ultrashort echo time pulse sequence with three-dimensional cone trajectory (3D UTE) with or without fat suppression (FS) to distinguish from artifacts in porcine tibias. Materials and Methods: The periosteum and overlying soft tissue of three porcine lower legs were partially peeled away from the tibial cortex. Another porcine tibia was prepared as three segments: with an intact periosteum outer and inner layer, with an intact periosteum inner layer, and without periosteum. Axial T1 weighted sequence (T1 WI) and 3D UTE (FS) were performed. Another porcine tibia without periosteum was prepared and subjected to 3D UTE (FS) and T1 WI twice, with positional changes. Two radiologists analyzed images to reach a consensus. Results: The three periosteal tissues that were partially peeled away from the cortex showed a high signal in 3D UTE (FS) and low signal on T1 WI. 3D UTE (FS) showed a high signal around the cortical surface with an intact outer and inner periosteum, and subtle high signals, mainly around the upper cortical surfaces with the inner layer of the periosteum and without periosteum. T1 WI showed no signal around the cortical surfaces, regardless of the periosteum state. The porcine tibia without periosteum showed changes in the high signal area around the cortical surface as the position changed in 3D UTE (FS). No signal was detected around the cortical surface in T1 WI, regardless of the position change. Conclusion: The periosteum showed a high signal in 3D UTE and 3D UTE FS that overlapped with artifacts around the cortical bone.