• 제목/요약/키워드: TPI

검색결과 103건 처리시간 0.029초

HeLa 세포에서 IgE-dependent Histamine-Releasing Factor와 Triosephosphate Isomerase의 상호작용 규명 (Interaction between IgE-Dependent Histamine-Releasing Factor and Triosephosphate Isomerase in HeLa Cells)

  • 문지애;김화정;이경림
    • 한국미생물·생명공학회지
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    • 제33권4호
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    • pp.255-259
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    • 2005
  • 본 실험에서는 HRF의 조절단백질을 알아보기 위해 HRF를 bait로 한 yeast two hybrid assay를 실행한 결과 해당과정에 관여하는 TPI(triosephosphate isomerase)라는 효소를 발견하였으며, 가장 많이 중복되어 있었다. In vitro에서 HRF는 TPI의 C말단 잔기 부근(아미노산 156-249)이 상호작용에 주로 관여하는 부위임을 알 수 있었다. 또한, HeLa 세포에서 immunoprecipitation을 이용하여 HRF와 TPI의 상호작용이 실제 in vivo에서도 일어나는 현상이라는 것을 밝혔다. 결과적으로 HRF와 TPI 상호작용은 세포내 일정량이 존재하며 여러가지 신호전달에 의해 동시에 Na,K-ATPase와도 상호작용하는 것으로 생각된다.

산사태 발생지 예측을 위한 Topographic Position Index의 적용성 연구 (Study on Application of Topographic Position Index for Prediction of the Landslide Occurrence)

  • 우충식;이창우;정용호
    • 한국환경복원기술학회지
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    • 제11권2호
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    • pp.1-9
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    • 2008
  • The objective of the study is 10 know the relation of landslide occurrence with using TPI (Topographic Position Index) in the Pyungchang County. Total 659 landslide scars were detected from aerial photographs. To analyze TPI, 100m SN (Small-Neighborhood) TPI map, 500m LN (Large-Neighborhood) TPI map, and slope map were generated from the DEM (Digital Elevation Model) data which are made from 1 : 5,000 digital topographic map. 10 classes clustered by regular condition after overlapping each TPI maps and slope map. Through this process, we could make landform classification map. Because it is only to classify landform, 7 classes were finally regrouped by the slope angle information of landslide occurrence detected from aerial photography analysis. The accuracy of reclassified map is about 46%.

HLD (Handicapping Labiolingual Deviation), TPI (Treatment Priority Index)와 HMAR (Handicapped Malocclusion Assessing Record)를 이용한 지역간 부정교합 양상에 관한 연구 (MODALITY OF MALOCCLUSION ACCORDING TO REGIONAL DIFFERENCE USING HLD (HANDICAPPING LABIOLINGUAL DEVIATION), TPI(TREATMENT PRIORITY INDEX) AND HMAR(HANDICAPPED MALOCCLUSION ASSESSING RECORD))

  • 손병화;황충주;황현식
    • 대한치과교정학회지
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    • 제23권1호
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    • pp.17-35
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    • 1993
  • We tried to evaluate frequencies and severities of malocclusion of various socioeconomic areas according to growth and development. To obtain objective validity, we used Handicapping Labiolingual Deviation (HLD) suggested by Draker, Treatment Priority Index (TPI) by Grainger, Handicapped Malocclusion Assessing Record (HMAR) by American Dental Association and American Association of Orthodontist. Seoul and Kwangju were selected as an urban group, Ahnyang as an middle socioeconomic group and Hwasun near the Kwangju area as an rural group. 140 (male 63, female 73) of 5th grade in 'E' elementary school students in Seoul, 202 (male 101, female 101) of 'S' elementary school students in Kwangju, 207(male 105, female 102) of 'H' elementary school students in Hwasun, and 100(male 49, female 51) of 'M' elementary school students of in Ahnyang of all the same grade were analyzed and we obtained the results as follows; 1. TPI, HLD, and HMAR showed high coincidence and reproducibility between different observer. (p<0.01) 2. In comparison of TPI, HLD, and HMAR according to clinical decision, there was statistically difference between each other. (p<0.01) 3. As the severity of malocclusion increases there was high correlation between TPI and HLD, and between HLD and HMAR (p<0.05) 4. With respect to differences between areas in TPI and HLD, there was statistically difference between Ahnyang and other areas. 5. In Seoul as an urban group there was a high incidence of periodic checkup and history of orthodontic treatment than other area. 6. Mode of feeding and posture during sleeping did not affect the severity of malocclusion. As a conclusion, TPI, HLD and HMAR are so reproducible and coincident that they can be used as a guide on evaluating the frequency and severity of malocclusion and determining the priority of orthodontic treatment to determine the need and supply of orthodontic treatment. Furthermore these indices can provide objectively valid data for establishing public health problem solution.

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Cloning and Nucleotide Sequence of a cDNA Encoding the Rat Triosephosphate Isomerase

  • Lee, Kyunglim;Ryu, Jiwon
    • Archives of Pharmacal Research
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    • 제19권6호
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    • pp.497-501
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    • 1996
  • A gene coding for triosephosphate isomerase (TPI) from a rat skeletal muscle cDNA library was cloned and its nucleotide sequence was determined. The 1, 348-bp cDNA clone contains 24 bp $5^I$ noncoding region, the entire 750 bp coding region corresponding to a protein of 249 amino acids, $547bp 3^I$ noncoding region and part of a poly(A) tail. It also contains a polyadenylation signal, AATAAA, starting from 17 bp upstream of the poly(A) tail. The calculated molecular weight of rat TPI is 27.8 kDa and the net charge is +4. The deduced amino acid sequence from rat TPI CDNA sequence has 93% and 94% homology with that of mouse and human clones, respectively. The amino acids at the residue of Asn12, Lys14, His96, Glu 166, His96, His101, Ala177, Tyr165, Glu13O, Tyr2O9, and Ser212 in catalytic site are completely identical, confirming that the functional residues in TPI proteins are highly conserved throughout evolution. The most profound characteristic of rat TPI enzyme, compared with other TPIs, is that there are five cysteine substitutions at the residue of 21, 27, 159, 195 and 204. A Glu123 instead of Gly was found in rabbit, rhesus, mouse and human sequences. Through the method of RT-PCR, the mRNA transcription level of TPI gene was found to be different among various tissues and was highest in muscle.

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TPI와 경사도 조합을 이용한 산사태 위험도 평가 (Landslide Susceptibility Assessment Using TPI-Slope Combination)

  • 이한나;김기홍
    • 한국측량학회지
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    • 제36권6호
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    • pp.507-514
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    • 2018
  • TPI (Topographic Position Index)와 경사도를 조합하여 새로운 산사태 인자인 TSI (TPI-Slope Index)를 제안하고 산사태 예측모형에 적용하였다. 이를 위해, 먼저 다양한 분석 반경의 TPI를 서로 비교하여 TPI350이 연구 대상 지역에 가장 적합함을 알아내었고, 이를 경사도와 조합하여 TSI를 제작하였다. 본 논문에서 제안한 TSI의 적용성을 평가하기 위해 로지스틱 회귀분석을 이용한 결과, 산사태 예측 모형에 활용할 수 있다는 결론을 얻었다. 그 후, 기타 지형 정보들과 토양 및 임상 정보를 추가하여 산사태 위험도를 평가하는 로지스틱 회귀 모형을 제작하였다. 이를 위해 DEM (Digital Elevation Model), 토양도, 임상도로부터 추출할 수 있는 산사태 관련 인자들을 수집하고 이들을 검토하여 다른 인자와 상관도가 높거나 산사태와의 연관성이 낮은 인자들은 우선 제외하였다. 그 결과, TSI, 고도, 사면 길이, 경사향, 유효 토심, 영급, 나무 밀도, 임상 등 8개의 인자가 선정되어 회귀분석에 독립변수로 입력되었다. 변수의 입력 방법(전진 선택법, 후진 제거법, 직접 선택법)에 따라 3가지 모형을 생성하였고, 이들에 대한 평가를 수행하였다. 세 모형에서 선택된 변수는 조금씩 다르지만, 공통적으로 유효 토심, 나무 밀도, TSI 인자의 중요도가 높은 것으로 나타났다.

크로스핏 파워 트레이닝이 TPI OnBaseU Power Test와 골프 수행력에 미치는 영향 (Effect of CrossFit Power Training on TPI OnBaseU Power Test and Golf Performance)

  • Chang Wook Kim
    • 한국운동역학회지
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    • 제33권4호
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    • pp.185-195
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    • 2023
  • Objective: The purpose of this study is to improve TPI OnBaseU Power Test and golf performance by conducting CrossFit power training. Method: Three male golf players from University B participated in this study. They had 3 to 4 years of golf experience and participated in 8 weeks of CrossFit power training. Results: OnBaseU Power Test: There was a lot of improvement in Sit up throw (27.9%) and Chest pass (10.58%), but there was not much improvement in Baseline Toss (R5.9, L9.8%) and Vertical Jump (4.1%). Golf shot data: There was a very statistically significant difference in Club speed, Ball speed, and Total Length, which are related to speed, and there was no difference in Club path and Smash factor, which are related to accuracy and posture. Conclusion: CrossFit power training was effective in improving TPI OnBaseU Power Test and golf performance (Club speed, Ball speed, Total Length).

상관관계를 통한 조직의 테스트 프로세스 개선 가이드 방안 (Guideline for Test Process Improvement of Test Organization Through Correlating TMMi with TPI NEXT)

  • 김기두;박용범;김영철
    • 정보처리학회논문지:소프트웨어 및 데이터공학
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    • 제2권12호
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    • pp.823-828
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    • 2013
  • 본 논문에서는 기본적인 TMMi 레벨 인증으로부터 정형화된 올바른 테스트 프로세스를 적용하여 소프트웨어의 품질을 높이고자 한다. 조직의 테스트 성숙도 수준 평가 모델인 TMMi과 테스트 프로세스를 개선 모델인 TPI NEXT의 분석을 통해 상관 관계도를 제안하고, 그 기반에서 조직의 테스트 성숙도 측정으로 테스트 프로세스 향상을 위한 가이드를 제공하고자 한다. 또한 기존의 테스트 성숙도 상호관련 메트릭의 보완 및 개선 통해 성숙도 측정을 도식화 한다. 제한된 레벨 수준의 사례로 TMMi와 TPI NEXT의 상관 관계도와 보완한 테스트 성숙도 상호관련 메트릭을 통해 조직의 테스트 프로세스 개선을 위한 가이드를 보여준다.

DEVELOPING PREDICTIVE METHOD FOR FOREST SITE DISTRIBUTION USING SATELLITE IMAGERY AND TPI (TOPOGRAPHIC POSITION INDEX)

  • Kim, Dong-Young;Jo, Myung-Hee
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 2008년도 International Symposium on Remote Sensing
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    • pp.281-284
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    • 2008
  • Due to the remarkable development of the GIS and spatial information technology, the information on the national land and scientific management are disseminated. According to the result of research for an efficient analysis of forest site, it presents distinguishing of satellite image and methodology of TPI (Topographic Position Index). The prediction of forest site distribution through this research, specified Gyeongju-si area, gives an effect to distinguishing honor system through Quickbird image with the resolution 0.6m. Furthermore it was carried out through TPI grid that is abstracted by DEM, slope of study area and type of topography, as well as it put its operation on analysis and verification of relativity between the result of prediction on forest site distribution and the field survey report. It distinguishes distribution of country rock that importantly effects to producing of soil, using 1: 5000 forest maps and grasping distribution type of soil using satellite image and TPI, it is supposed to provide a foundation of the result on prediction of forest site. With the GIS techniques of analysis, inclination of discussion, altitude, etc, and using high resolution satellite image and TPI, it is considered to be capable to provide more exact basis information of forest resources, management of forest management both in rational and efficient.

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HIGH-TPI HDD 구현을 위한 PES ESTIMATION에 관한 연구 (A Study on the PES Estimation for Developing High-TPI HDD)

  • 고정석;강성우;한윤식;김영훈;황태연
    • 한국소음진동공학회:학술대회논문집
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    • 한국소음진동공학회 2002년도 추계학술대회논문집
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    • pp.122-127
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    • 2002
  • A frequency-domain PES estimation and its prediction method are proposed for the tightly-coupled servo/mechanical design of high-TPI HDD system above 100 kTPI. The major two disturbance energies which are related with mechanical vibrations inside of HDD are used to predict the drive-level PES, while considering closed-loop servo dynamics. One is the torque disturbance which mainly comes from aerodynamic excitation of HSA system and the other is the displacement disturbance from disk-spindle dynamics. In order to obtain the accurate error transfer function of closed-loop servo control, the plant model is measured by accurate experiment. The measured PES is compared with predicted one in terms of frequency-domain PES spectrum and its standard variation value. It is proved that the proposed frequency-domain PES estimation/prediction method is capable of predicting drive-level PES of high-TPI hard disk drive.

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주물 산업의 수익력 극대화를 위한 생산부문의 TPI 최적화 연구 (A Optimizing Study on maximizing the earning power of casting industry production through TPI)

  • 강병노;이창호
    • 대한안전경영과학회지
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    • 제16권2호
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    • pp.185-192
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    • 2014
  • The production type of foundry industry is a small quantity batch production methods that require the highly skilled technology in the global competition in the variety of customer needs and directly under the influence of fluctuations characteristic. Therefore suitability for small quantity batch production and flexible production capacity and price competitiveness is needed more than anything. To do this, we need transcription and comprehensive innovation activities to maximize the revenue structure of the organization and field survival foundation should be developed the TPI(Total Profit Innovation) process in all aspects of the organization and all employees are involved in order to create a cost, quality, time, and service part of the overall aim how to achieve those effects within a short period of time. We applied the TPI process for S company in the foundry business innovation and productivity through cost reduction. We will expect the productivity improvement and financial performance improvement and then continually accumulate and review the results.