• Title/Summary/Keyword: 합경도

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Prediction of Cognitive Impairment Using Blood Gene Expression Based on Machine Learning (혈액 유전자 발현을 이용한 기계학습 기반 인지장애 예측)

  • Lee, Seungeun;Zhou, Yu;Kang, Kyungtae
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2022.07a
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    • pp.61-62
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    • 2022
  • 알츠하이머성 치매는 현존하는 치료법이 없어 경도인지장애 단계에서의 예방이 중요하다. 지금까지의 알츠하이머 연구는 대부분이 뇌영상 마커와 뇌척수액 마커에 집중되어 있었으며, 경도 인지 장애 단계에서의 탐색은 더욱 적었다. 이러한 점에서 혈액 유전자 발현을 이용한 경도 인지장애 단계 예측은 인지 능력에 따른 관련 유전자 식별과 접근 가능한 진단 및 치료 바이오 마커 탐색에 기여할 수 있다. 그러나 유전자 발현 데이터의 경우 환자 수에 비해 높은 차원을 가지기 때문에 과적합을 막고 질병 관련 유전자를 식별하기 위해서는 데이터에서의 의미 있는 차원만을 뽑아내는 차원 축소가 선행되야 한다. 본 연구는 유전자 발현데이터에서의 인지장애 분류를 위해 차원 축소기법과 신경망을 적용하여 인지 장애 정도를 예측하였다. 그 결과, Lasso 이용 차원축소와 신경망을 이용하여 97%의 정확도로 정상과 조기 경도 인지장애, 후기 경도 인지장애 환자를 분류 할 수 있었으며, 더 적은 차원에서도 분류가 가능했다. 이는 혈액 유전자 발현을 이용해 경도 인지장애 단계를 예측한 첫 번째 연구이며, 인지능력 저하에 따른 혈액 유전자 발현의 연관성을 확인하고 향후 조기 진단, 치료 표적 탐색에 기여한다.

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Improvement Plan of Excavation Performance Based on Shield TBM Performance Prediction Models and Field Data (쉴드 TBM 성능예측모델과 굴진자료 분석을 통한 굴진성능 개선방안)

  • Jung, Hyuksang;Kang, Hyoungnam;Choi, Jungmyung;Chun, Byungsik
    • Journal of the Korean GEO-environmental Society
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    • v.11 no.2
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    • pp.43-52
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    • 2010
  • Shield method is the tunnel boring method that propels a steel cylinder in the ground and excavates tunnels at once. After Marc Isambard Brunel started using the method for the Thames Riverbed Tunnel excavation in London, many kinds of TBM (Tunnel Boring Machine) developed and applied for the construction of road, railway, electricity channel, pipeline, etc. In comparison with NATM concept that allows to observe ground condition and copes with difficulty. The machine selected before starting construction is not able to be changed during construction in shield TBM. Therefore the machine should be designed based on the ground survey result and experiment, so that the tunnel might be excavated effectively by controlling penetration speed, excavation depth and cutter head speed according to the ground condition change. This research was conducted to estimate penetration depth, excavate speed, wear of disc cutter on Boondang Railway of the Han Riverbed Tunnel ground condition by TBM performance prediction models such as NTNU, $Q_{TBM}$, Total Hardness, KICT-SNU and compare the estimated value with the field data. The estimation method is also used to analyze the reason of poor excavation efficiency at south bound tunnel.

Evaluation of Titanium-nitride Coated Crown: Surface Hardness, Corrosion Resistance and Color Sustainability (타이타늄-질소 코팅된 금속관에 대한 평가: 표면 경도, 부식 저항성, 색조 안정성)

  • Kim, Hyojin;Lim, Sumin;Kim, JinYoung
    • Journal of the korean academy of Pediatric Dentistry
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    • v.48 no.3
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    • pp.344-351
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    • 2021
  • The purpose of this study was to compare surface hardness between titanium-nitride coated crowns (TiNCs) and stainless steel crowns (SSCs), and to evaluate the corrosion resistance and color sustainability of TiNCs. Ten TiNCs and 10 SSCs were used for the hardness test. Measurement was performed 30 times for each type of crowns, and the mean values were compared. Metallic raw material plates (before being processed into crowns) of TiNCs and SSCs were prepared for the corrosion resistance test. The total amounts of metal ion releases in the test solution were detected by inductively coupled plasma-optical emission spectrometry. Five TiNCs were subjected to the color sustainability test by applying repetitive brushing forces. The mean hardness values of TiNC group and SSC group were 395.53 ± 105.90 Hv and 278.70 ± 31.45 Hv respectively. Hardness of TiNCs were significantly higher than that of SSCs. The total amounts of metal ion releases from the materials of TiNCs and SSCs satisfied the criterion in International Organization for Standardization 22674. The results mean that TiNCs and SSCs were not harmful in an acidic environment. The golden coating was stable against the repetitive physical stimulations for a given period time.

Physicochemical Properties of Rice Starch and Cooked Rice Hardness (쌀 전분의 이화학적 성질과 쌀밥의 경도)

  • Gil, Bog-Im;Im, Yang-Soon;Ahn, Seung-Yo
    • Applied Biological Chemistry
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    • v.31 no.3
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    • pp.249-254
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    • 1988
  • Physicochemical properties of starches from the rices of Akibare, Samgang and Mahatma and hardness of the cooked rice were examined Water binding capacity and amylose content were heigher in Samgang. Peak viscosity and breakdown were heigher in order of Akibare, Samgang and Mahatma, while consistency and set back were reverse order. Hydrolytic patterns of three starches with 2.2N HCl at $35^{\circ}C$ showed two distinct stages. Hydrolysis extent of Mahatma starch was lower than those of Akibare and Samgang starches. The relative crystallinities of these starches were heigher in order of Mahatma, Akibare and Samgang. Mahatma was more resistant to heat and acid treatments, lower in water binding capacity and harder when it was cooked.

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The Relationship between Rock Strength Characteristics and Net Penetration Rate of RBM by Pilot Test (시험시공을 통한 암석의 강도특성과 RBM의 순관입률과의 관계)

  • 이석원;조만섭;배규진
    • Journal of the Korean Geotechnical Society
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    • v.19 no.4
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    • pp.201-209
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    • 2003
  • For the purpose of research study, a vertical shaft of 98m in length and 3.05m in diameter was constructed in the layer of conglomerate by using the Raise Boring Machine (RBM). In order to estimate the net penetration rate of the RBM, which can be used in the stage of design, the in-situ test results were analysed and correlated to data from the boring log in situ and laboratory testing. Its average net penetration rate is 2.233mm/rev while its average advance rate is 0.382m/hr, which is lower than that of TBM(Tunnel Boving Machine). It turns out that the net penetration rate increases with the increase of strength characteristics in rock mass (e.g., uniaxial compression strength, tensile strength, etc.). Similarly, the net penetration rate increases linearly with the hardness of rock mass. These results are contrary to the results of the previous construction sites where the TBM was generally used in the layer of hard rock. However, the trend obtained in this study is in accordance with the findings of Barton suggesting the relationship between Q$_TBM$ and penetration rate in the layer of soft rock. Thus, the trend is valid in soft and/or weathered rocks.

Mechanical properties by resin injection method of orthdontic acrylic resin (교정용 레진장치의 레진주입방법에 따른 기계적 특성)

  • Jo, Jeong-Ki
    • Journal of Digital Convergence
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    • v.18 no.4
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    • pp.341-346
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    • 2020
  • Polymethyl methacrylate (PMMA), a self-curing resin mainly used in removable orthodontic appliances, is an acrylic resin mainly used in the field of modern dentistry. As an advantage, it has been used for a long time as a material for orthodontic devices in dentistry due to its color and volume, tissue affinity, and stability. The production of PMMA can be divided into self-polymerization method and thermal polymerization method according to activation method. Self-curing resins have long been used as orthodontic devices. The resin injection method is largely divided into a sprinkle-on method and a mixing method. In this study, we intend to test the mechanical properties according to the resin injection method of the orthodontic device, such as strength, modulus of elasticity, and surface roughness. There was no significant difference in strength as a result of three-point bending strength test on rectangular specimens (1.4 × 3.0 × 19.0 mm) of orthodontic PMMA. There was also no significant difference in hardness. There was no significant difference in surface roughness. It was confirmed that the orthodontic PMMA had no significant difference in mechanical properties according to the resin injection method of the orthodontic device.

Grain Refining and Age Hardening of Mg-Zn Alloys by Addition of Cu and Si (Cu 및 Si첨가에 의한 Mg-Zn합금계의 입자미세화 및 시효경화)

  • Hwang, Jin-Hwan;Nam, Tae-Hyeon;An, In-Seop;Kim, Yu-Gyeong;Heo, Gyeong-Cheol;Heo, Bo-Yeong
    • Korean Journal of Materials Research
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    • v.5 no.6
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    • pp.682-689
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    • 1995
  • In order to refine the grain size of Mg-Zn alloy 0.5 to 6wt.%Cu or Si elements were added. Alloy ingot was made under vacuum atmosphere of 4 ${\times}$ 10$\^$-4/ Torr in the quartz tube coated by BN. Grain size and hardness were measured after solution treatment for 8 hours at 435$^{\circ}C$. Optimal condition for grain size refining effect was obtained at the minimum composition of 2wt.%Cu or 1.5wt.%Si addition to Mg-6wt%Zn alloy. Age hardening behavior was experimented at the optimal compositions of the Mg-6wt.%Zn, Mg-6wt.% Zn-2wt.%Cu and Mg-6wt.% Zn-1.5wt.%Si. The hardness increment due to fine grain size was higher at the Mg-Zn-Cu alloy system, but that due to age hardening was higher at the Mg-Zn-Si alloy system.

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GLCM Algorithm Image Analysis of Nonalcoholic Fatty Liver and Focal Fat Sparing Zone in the Ultrasonography (초음파검사에서 비알콜성 지방간과 국소지방회피영역에 대한 GLCM Algorithm 영상분석)

  • Cho, Jin-Young;Ye, Soo-Young
    • Journal of radiological science and technology
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    • v.40 no.2
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    • pp.205-211
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    • 2017
  • There is a need for aggressive diagnosis and treatment in middle-aged and high-risk individuals who are more likely to progress from nonalcoholic fatty liver to hepatitis. In this study, nonalcoholic fatty liver was divided into severe, moderate, and severe, and classified by quantitative method using computer analysis of GLCM algorithm. The purpose of this study was to evaluate the characteristics of ultrasound images in the local fat avoidance region. Normal, mild, moderate, severe fatty liver, and focal fat sparing area, 80 cases, respectively. Among the parameters of the GLCM algorithm, the values of the Autocorrelation, Square of the deviation, Sum of averages and Sum of variances with high recognition rate of the liver ultrasound image were calculated. The average recognition rate of the GLCM algorithm was 97.5%. The result of local fat avoidance image analysis showed the most similar value to the normal parenchyma. Ultrasonography can be easily accessed by primary screening, but there may be differences in the accuracy of the test method or the correspondence of results depending on proficiency. GLCM algorithm was applied to quantitatively classify the degree of fatty liver. Local fat avoidance region was similar to normal parenchyma, so it could be predicted to be homogeneous liver parenchyma without fat deposition. We believe that GLCM computer image analysis will provide important information for differentiating not only fatty liver but also other lesions.

A Comparison of Quality and Volatile Components of Two Cucumber Cultivars Grown under Organic and Conventional Conditions (유기 및 관행재배 오이(청낙합, 입추낙합)의 품질특성 및 휘발성 향기성분 특성)

  • Lee, You-Seok;Seo, Hye-Young;Kim, Gwi-Duck;Moon, Jae-Hak;Lee, Young-Han;Choi, Kyeong-Ju;Lee, Youn;Park, Jang-Hyun;Kang, Jeong-Hwa
    • Korean Journal of Food Science and Technology
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    • v.42 no.4
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    • pp.407-413
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    • 2010
  • This study was performed to compare the quality and volatile components of two cucumber (Cucumis sativus L.) cultivars (Cheongnakhab, Ipchunakhab)-grown under organic and conventional conditions. The levels of pH and soluble solids in the organic system were similar to those in the conventional system. The hardness of the pulp in the organic cucumbers was slightly higher than that in conventional cucumber regardless of cultivar. However, the contents of chlorophyll a, b, and total chlorophyll in organic cucumbers were significantly (p<0.05) higher than those in conventional cucumber. The major volatile compound of fresh cucumber was (E,Z)-2,6-nonadienal regardless of cultivar and farming system. When classified by the identified components' functional group, the rate of aldehydes was the highest of all samples. The results indicate that the quality and volatile components in organic cucumbers were similar to those in conventional cucumbers except for hardness and chlorophyll contents regardless of cultivar.

Analysis of Partial Least Square Regression on Textural Data from Back Extrusion Test for Commercial Instant Noodles (시중 즉석 조리 면의 Back Extrusion 텍스처 데이터에 대한 Partial Least Square Regression 분석)

  • Kim, Su kyoung;Lee, Seung Ju
    • Food Engineering Progress
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    • v.14 no.1
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    • pp.75-79
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    • 2010
  • Partial least square regression (PLSR) was executed on curve data of force-deformation from back extrusion test and sensory data for commercial instant noodles. Sensory attributes considered were hardness (A), springiness (B), roughness (C), adhesiveness to teeth (D), and thickness (E). Eight and two kinds of fried and non-fried instant noodles respectively were used in the tests. Changes in weighted regression coefficients were characterized as three stages: compaction, yielding, and extrusion. Correlation coefficients appeared in the order of E>D>A>B>C, root mean square error of prediction D>C>E>B>A, and relative ability of prediction D>C>E>B>A. Overall, 'D' was the best in the correlation and prediction. 'A' with poor prediction ability but high correlation was considered good when determining the order of magnitude.