• Archives of Plastic Surgery
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• 제40권3호
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• pp.203-208
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• 2013

Background Preoperative volume assessment is useful in breast reconstruction. Magnetic resonance imaging (MRI) and mammography are commonly available to reconstructive surgeons in the care of a patient with breast cancer. This study aimed to verify the accuracy of breast volume measured by MRI, and to identify any factor affecting the relationship between measured breast volume and actual breast weight to derive a new model for accurate breast volume estimation. Methods From January 2012 to January 2013, a retrospective review was performed on a total of 101 breasts from 99 patients who had undergone total mastectomy. The mastectomy specimen weight was obtained for each breast. Mammographic and MRI data were used to estimate the volume and density. A standard statistical analysis was performed. Results The mean mastectomy specimen weight was 340.8 g (range, 95 to 795 g). The mean MRI-estimated volume was $322.2mL^3$. When divided into three groups by the "difference percentage value", the underestimated group showed a significantly higher fibroglandular volume, higher percent density, and included significantly more Breast Imaging, Reporting and Data System mammographic density grade 4 breasts than the other groups. We derived a new model considering both fibroglandular tissue volume and fat tissue volume for accurate breast volume estimation. Conclusions MRI-based breast volume assessment showed a significant correlation with actual breast weight; however, in the case of dense breasts, the reconstructive surgeon should note that the mastectomy specimen weight tends to overestimate the volume. We suggested a new model for accurate breast volume assessment considering fibroglandular and fat tissue volume.

• Journal of Forest and Environmental Science
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• 제32권3호
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• pp.262-269
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• 2016

The purposes of this study are to calculate the green and dried weight using wood discs, to figure out weight change on air drying times, and to develop the model of wood disc weight change for Larix kaempferi, Pinus koraiensis, and Pinus densiflora. The variables affecting the weight change were investigated, and the pattern of weight change over time was figured out through linear models. When comparing the stem green weight calculated using wood discs in this study with the weight table of Korea Forest Service, the weight was not significantly different for L. kaempferi and P. koraiensis. On the other hand, in comparison of stem dried weight, the weight was significantly different in all of three species. In addition, various measurement factors were examined to figure out the relationship with weight change, and air drying times and disc diameter were found as significant independent variables. Finally, two linear models were developed to estimate air drying times of three species, fit statistics were significant for practical use.

• 대한치과보철학회지
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• 제55권2호
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• pp.135-143
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• 2017

목적: 연구의 목적은 동일한 지대치에서 각각 모델스캔 방법과 구강 내 스캔 방법으로 제작된 지르코니아 보철물의 변연 및 내면적합도를 비교하는 것이다. 재료 및 방법: 발거된 사람의 하악 제1대구치 20개에 대해 지르코니아 보철물을 위한 지대치 형성이 이루어졌다. 첫 번째 그룹에서는 모델 스캔법으로 10개의 지대치를 스캔하였고, 두 번째 그룹에서는 나머지 10개에 대해 구강 내 스캔법을 사용하였다. 각각의 데이터들은 소프트웨어 시스템으로 전송되었고 Ceramill CAD/CAM system을 이용하여 20개의 지르코니아 보철물을 제작하였다. 먼저 weight technique을 사용하여 내면 적합도를 평가하였다. 다음으로 replica technique에서는 광학현미경을 통해 변연 적합도를 평가하였다. 통계처리는 일원배치분산분석을 이용하였다. 결과: 먼저 weight technique에서 모델 스캔법으로 제작한 그룹에서 구강 내 스캔법으로 제작한 그룹에 비해 평균적인 무게 값이 낮게 나타났고, 이는 유의성이 있었다(P < .05). 또한, replica technique에서도 측정된 5개의 영역 모두에서 구강 내 스캔법으로 제작한 그룹에 비해 모델 스캔법으로 제작한 그룹에서 변연 및 내면의 gap에 대한 거리 값이 유의하게 낮게 나타났다(P < .05). 결론: 두 그룹의 방법으로 제작한 지르코니아 보철물은 모두 임상적으로 받아들여질 만한 변연 및 내면 적합성을 보였다. 하지만 모델 스캔법으로 제작한 그룹에서 구강 내 스캔법으로 제작한 그룹에 비해 높은 변연 및 내면 적합성을 보였다.

• Asian-Australasian Journal of Animal Sciences
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• 제15권8호
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• pp.1080-1084
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• 2002

Carcass characteristics of 241 crossbred pigs (Korean wild boars ${\times}$ Landrace sows) were analyzed to examine variations in fasted body weight (FASTWT), carcass weight (CARCWT), dressing percentage (DP), back fat thickness (BFT) and longissimus muscle weight (LMW), and to estimate genetic and phenotypic parameters using three different slaughter-end points. Covariates in the least squares full sib model were slaughter age, fasted body weight and back fat thickness of the carcass. Coefficient of variation was highest for BFT followed by LMW, CARCWT, FASTWT and DP in magnitude. Regressions of three covariates on traits were all linear. However, slaughter age was not significant as a linear covariate for five traits while FASTWT was significant for CARCWT and LMW and BFT was significant for all remaining traits. Genetic and phenotypic variation was considerably reduced by regressing FASTWT or BFT in the model. Heritability estimates of FASTWT, CARCWT, DP and BFT were 0.68, 0.61, 0.11 and 0.49, respectively, using slaughter age as covariate (model 1). Those of CARCWT, DP, BFT and LMW were 0.15, 0.15, 0.30 and 0.11, respectively, using FASTWT as covariate (model 2). Heritability estimates of the traits using LMW as covariate (model 3) were similar to the estimates from Model 1 except that the estimate of CARCWT was reduced to 0.39. Genetic or phenotypic correlations among FASTWT, CARCWT and BFT were all positive and moderate to high. Those between BFT and LMW were also positive and low to moderate. However, genetic and phenotypic correlations between DP and CARCWT were positive while those between DP and FASTWT were negative. It was suggested from this study that differences in carcass yield traits be determined using slaughter age or back fat thickness as slaughter-end point and carcass quality traits using fasted body weight as slaughter-end point.

• 한국소음진동공학회:학술대회논문집
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• 한국소음진동공학회 1996년도 추계학술대회논문집; 한국과학기술회관, 8 Nov. 1996
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• pp.231-236
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• 1996

Recently to develope an automobile with better properties, much researches and investments are executed in many countries. In this paper, the weight of an engine block intend to minimize without changing the natural frequency. The weight minimization of an engine block is started from much less initial thickness than original thickness of the model and performed by using the sensitive analysis method and the optimum structural modification method. It can be considered that the weight minimization is completed through this process, because the optimum structural modification method includes the constraint of minimum changing quantity.

• 정보화연구
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• 제10권4호
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• pp.467-478
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• 2013

범정부 EA 정보를 활용하여 국가 및 개별기관 차원의 주요 성과가 대내 외적으로 나타나고 있는 현 시점에서 EA 서비스 및 성과에 대한 연구 필요성이 제기되고 있다. 본 연구에서는 '서비스로서의 EA'의 특징적 요소를 유형화하여 EA 서비스 성과모형을 개발하고, 성과모형을 구성하는 품질항목별 가중치 차이를 AHP 분석기법을 활용하여 도출하고자 하였다. 이를 위해 EA 서비스 및 성과, 공공서비스 품질 관련 광범위한 이론적 연구와 논리적 추론과정을 통해 범용적인 서비스 측정 도구로 활용되고 있는 SERVQUAL을 적용한 EA 서비스 성과모형을 개발하였고, 모형을 구성하는 품질항목간 상대적 가중치를 산출하였다. 가중치 분석결과, EA담당자-EA정보-EA교육-EA정책/제도-EA운영시스템 순으로 중요도 차이를 보이는 것으로 분석되었다. 이는 EA 성과향상을 위해서는 EA정책/제도 운영시스템과 같은 품질항목 보다는 EA담당자 정보 교육과 같은 품질항목을 비중 있게 관리해야 함을 보여주고 있으며, 본 연구는 서비스 품질 측정 평가 모델로 국내 외에서 각광 받고 있는 서브퀄 모형(SERVQUAL Model)에 공공부문 EA 서비스를 접목한 국내 최초의 연구로서 실무적 및 이론적으로 시사하는 바가 크다.

• International Journal of Industrial Entomology and Biomaterials
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• 제14권2호
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• pp.121-126
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• 2007

Obesity is a major risk factor for cardiovascular disease. In our case study using animal models for disease states such as obesity or hypertension, we found that, Isaria sinclairii remarkably reduced body weight and ameliorated metabolic abnormalities in Zucker and SHR rats. Genetically obese (fa/fa) Zucker rats were one animal model chosen for this study. Four groups of rats received a standard diet and were treated orally with the following test samples daily for 8 weeks: saline (negative control), ethanol extracts of I. sinclairii, hot water extract of I. sinclairii, or $Xenical^{(R)}$ (30 mg/kg, positive control). Mild reductions (6.3%) in body weight gain were observed in the groups treated with the hot water extract of I. sinclairii compared to the control after 8 weeks. Interestingly, organ weight was greatly reduced by this Dongchunghacho (I. sinclairii), in parallel with the mild reductions in body weight gain and reductions in abdominal fat (adipose tissue). Also observed was a 4.1 % decrease in the ratio of heart weight/body weight compared to the control group. As a hypertensive animal model, SHR (spontaneously hypertensive rat) and WKY (Wistar Kyoto) rats were also administered these extracts for one month. Treatment with the hot water extract of I. sinclairii caused greater reductions in body weight gain for the SHR group (10.9%) compared to the WKY group's (5.2%). Based on these results, I. sinclairii extracts contain selective action for anti-obesity activity, naturally occurring candidate for regulation of body weight increase, as demonstrated in the present study.

• 운동영양학회지
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• 제25권1호
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• pp.23-29
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• 2021

[Purpose] This preliminary study aimed to develop a regression model to estimate the non-exercise activity thermogenesis (NEAT) of Korean adults using various easy-to-measure dependent variables. [Methods] NEAT was measured in 71 healthy adults (male n = 29; female n = 42). Statistical analysis was performed to develop a NEAT estimation regression model using the stepwise regression method. [Results] We confirmed that age^A, weight^B, heart rate (HR)_average^C, weight × HR_average^D, weight × HR_sum^E, systolic blood pressure (SBP) × HR_rest^F, fat mass ÷ height^2G, gender × HR_average^H, and gender × weight × HR_sum^I were important variables in various NEAT activity regression models. There was no significant difference between the measured NEAT values obtained using a metabolic gas analyzer and the predicted NEAT. [Conclusion] This preliminary study developed a regression model to estimate the NEAT in healthy Korean adults. The regression model was as follows: sitting = 1.431 - 0.013 × (A) + 0.00014 × (D) - 0.00005 × (F) + 0.006 × (H); leg jiggling = 1.102 - 0.011 × (A) + 0.013 × (B) + 0.005 × (H); standing = 1.713 - 0.013 × (A) + 0.0000017 × (I); 4.5 km/h walking = 0.864 + 0.035 × (B) + 0.0000041 × (E); 6.0 km/h walking = 4.029 - 0.024 × (C) + 0.00071 × (D); climbing up 1 stair = 1.308 - 0.016 × (A) + 0.00035 × (D) - 0.000085 × (F) - 0.098 × (G); and climbing up 2 stairs = 1.442 - 0.023 × (A) - 0.000093 × (F) - 0.121 × (G) + 0.0000624 × (E).

• Steel and Composite Structures
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• 제52권2호
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• pp.165-182
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• 2024

Grouted sleeve splice (GSS) is an effective type of connection applied in the precast concrete structures as it has the advantages of rapidly assembly and reliable strength. To decrease the weight and cost of vertical rebar connection in precast shear walls, a light-weight sleeve is designed according to the thick-cylinder theory. Mechanical behaviour of the light-weighted GSS is investigated through experimental analysis. Two failure modes, such as rebar fracture failure and rebar pull-out failure, are found. The load-displacement curves exhibit four different stages: elastic stage, yield stage, strengthening stage, and necking stage. The bond strength between the rebar and the grout increases gradually from outer position to inner position of the sleeve, and it reaches the maximum value at the centre of the anchorage length. A finite element model predicting the mechanical properties of the light-weighted GSS is developed based on the Concrete Damage Plasticity (CDP) model and the Brittle Cracking (BC) model. The effect of the rebar anchorage length is significant, while the increase of the thickness of sleeve and the grout strength are not very effective. A model for estimating ultimate load, including factors of inner diameter of sleeves, anchorage length, and rebar diameter, is proposed. The proposed model shows good agreement with various test data.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제18권8호
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• pp.2431-2449
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• 2024

As problems such as water pollution and fish species depletion have become serious, a land-based fish farming is receiving a great attention for ensuring stable productivity. In the fish farming, it is important to determine the timing of shipments, as one of key factors to increase net profit on the aquaculture. In this paper, we propose a system for predicting net profit to support decision of timing of shipment using fish farming-related statistical data. The prediction system consists of growth and farm-gate price prediction models, a cost statistics table, and a net profit estimation algorithm. The Gaussian process regression (GPR) model is exploited for weight prediction based on the analysis that represents the characteristics of the weight data of cultured fish under the assumption of Gaussian probability processes. Moreover, the long short-term memory (LSTM) model is applied considering the simple time series characteristics of the farm-gate price data. In the case of GPR model, it allows to cope with data missing problem of the weight data collected from the fish farm in the time and temperature domains. To solve the problem that the data acquired from the fish farm is aperiodic and small in amount, we generate the corresponding data by adopting a data augmentation method based on the Gaussian model. Finally, the estimation method for net profit is proposed by concatenating weight, price, and cost predictions. The performance of the proposed system is analyzed by applying the system to the Korean flounder data.