• 제목/요약/키워드: Bo patterns

검색결과 377건 처리시간 0.032초

Tissue microarray를 이용한 여러 암에서의 thymosin β4, vascular endothelial growth factor, 및 hypoxia-inducible factor-1α 발현양상 연구 (Analysis of the Expression Patterns of Thymosin β4, Vascular Endothelial Growth Factor, and Hypoxia-Inducible Factor-1α in Various Tumors Using Tissue Microarray)

  • 이보영;이승현;안병권;옥미선;차희재
    • 생명과학회지
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    • 제21권3호
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    • pp.417-423
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    • 2011
  • 사이모신 베타 4와 관련 단백질인 HIF-$1{\alpha}$ 및 VEGF의 발현을 여러 인간 암 조직에서 tissue microarray를 사용하여 조사하였다. 사이모신 베타 4는 골육중, 대장 선암, 식도 편평세포암, 신장 및 방광의 이행세포암, 폐암 및 간암에서 많이 발현되었으며 HIF-$1{\alpha}$은 비강 역위성 유두종, 폐암 및 식도 편평세포암에서 강한 발현을 보였으며 대체로 발현되는 양상이나 위치가 사이모신 베타 4와 일치하는 것으로 관찰되었다. VEGF는 암 조직에서보다 암조직에 분포된 혈관내피에서 강하게 발현되는 양상을 나타내었으며 암세포에서는 사이모신 베타 4나 HIF-$1{\alpha}$에 비해 강하게 발현되지 않았다. 위암, 간 혈관육종, 담낭 선암과 자궁 내막 선암에서 적당 수준의 VEGF 발현이 관찰되었으며 VEGF의 발현 양상 및 위치는 위암, 골육종, 지방종, 폐암, 간암, 담낭 선암, 식도 편평세포암, 대장 및 직장암, 신세포암을 포함하는 특정 암에서 사이모신 베타 4 및 HIF-$1{\alpha}$와 일치하는 것으로 관찰되었다.

경쟁적 공진화법에 의한 신경망의 구조와 학습패턴의 진화 (Evolution of Neural Network's Structure and Learn Patterns Based on Competitive Co-Evolutionary Method)

  • 정치선;이동욱;전효병;심귀보
    • 전자공학회논문지S
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    • 제36S권1호
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    • pp.29-37
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    • 1999
  • 일반적으로 신경망의 정보처리 능력은 신경망의 구조와 효율적인 학습패턴에 의해 결정된다. 그러나 아직까지 체계적으로 신경망의 구조를 설계하거나 효율적인 학습패턴을 선택하는 방법은 없다. 한편 진화 알고리즘은 개체군을 이용한 탐색법으로 전역적 최적해를 구하는 데 많이 사용되고 있으며, 특히 최적의 시스템을 설계하고자 할 때 매우 유용한 방법이다. 본 논문에서는 유전자 알고리즘으로 구성된 두 개의 개체군이 서로 경쟁적으로 진화하는 공진화 방법에 의해 최적의 신경망구조를 찾는 방법을 제안한다. 이 방법은 신경망구조를 나타내는 주개체군과 학습패턴을 나타내는 부개체군으로 되어 있으며, 이 두 개체군(신경망과 학습패턴)은 서로 경쟁적으로 진화한다. 즉, 학습패턴은 신경망이 학습하기 힘든 패턴으로 진화하고 신경망은 그 패넌들을 학습할 수 있도록 진화하단. 이 방법은 부적절한 학습패턴의 선택과 임의적인 신경망의 설계로 인한 시스템의 성능이 저하되는 것을 해결한다. 또한 공진화 방법에서 각 개체군의 적합도는 동적으로 변화하기 때문에 그 진행과정을 쉽게 알 수 없다. 따라서 본 논문에서는 그 진행과정을 관찰할 수 있는 방법도 소개한다. 마지막으로 제안한 방법을 로봇 매니플레이터의 비주얼 서보임 문제에 적용하여 그 유효성을 검증한다.

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유영행동에 따른 대형 해파리의 음향산란 변동의 이론적 검토 (Theoretical Examination of the Effects of Fluctuation of Acoustic Scattering on the Swimming Behavior of Giant Jellyfish)

  • 이유원;황보규
    • 한국수산과학회지
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    • 제42권2호
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    • pp.165-170
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    • 2009
  • Recently, wide spread distribution of the giant jellyfish, Nemopilema nomurai, has occurred in the East China Sea. This increased distribution has caused serious problems in inshore and offshore fisheries in Korea and Japan. As a result, it is necessary to evaluate the damage caused to the fisheries by jellyfish. Accordingly, several hydroacoustic studies have been conducted to estimate the target strength (TS) of the giant jellyfish. However, the effects of fluctuation in the acoustic scattering characteristics on swimming patterns have not yet been elucidated. Therefore, in this study, we theoretically estimated the effects of changes in the acoustic scattering pattern on the swimming behavior of jellyfish using the Distorted Wave Born Approximation (DWBA) model. The results confirmed that acoustic scattering of jellyfish results in a significant change in their swimming pattern. Specifically, our theoretical estimation indicated that the TS of giant jellyfish (d=40 cm) fluctuated until 8.5 dB at 38 kHz, 13.8 dB at 70 kHz, and 15.1 dB at 120 kHz based on changes in their swimming patterns.

기능적 전기자극이 뇌졸중 환자의 보행에 미치는 영향 (Effects of Functional Electrical Stimulation on Gait Patterns in Stroke Patient)

  • 김용욱;원종혁;정보인
    • 한국전문물리치료학회지
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    • 제7권3호
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    • pp.72-80
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    • 2000
  • This study was to investigate the effects of a functional electrical stimulation (FES) on temporal parameters (stride length, step width and cadence) of gait patterns in a patient with right hemiparesis. A single-subject reversal (ABAB) design was used. The subject was a 25-year-old male who had foot drop and circumduction gait pattern. An ink foot-print method was used to assess the temporal parameters of gait between the baseline phase and the intervention phase. FES was applied at 8 m walkway, three times a week for 5 weeks. The results showed that stride length was increased by 4.04 cm and that step width was decreased by 3.93 cm in the intervention phase. There was no difference in cadence between the baseline phase and intervention phase.

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Surface modification for block copolymer nanolithographyon gold surface

  • 황인찬;방성환;이병주;이한보람;김형준
    • 한국재료학회:학술대회논문집
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    • 한국재료학회 2009년도 추계학술발표대회
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    • pp.33.2-33.2
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    • 2009
  • Block copolymer lithography has attracted great attention for emerging nanolithography since nanoscaleperiodic patterns can be easily obtained through self-assembly process without conventional top-down patterning process. Since the morphologies of self-assembled block copolymer patterns are strongly dependent on surface energy of a substrate, suitable surface modification is required. Until now, the surface modification has been studied by using random copolymer or self-assembled mono layers (SAMs). However, the research on surface modifications has been limited within several substrates such as Si-based materials. In present study, we investigated the formation of block copolymer on Au substrate by $O_2$ plasma treatment with the SAM of 3-(p-methoxy-phenyl)propyltrichloro-silane [MPTS, $CH_3OPh(CH_2)_3SiCl_3$]. After $O_2$ plasma treatment, the chemical bonding states of the surface were analyzed by X-ray photoelectron spectroscopy (XPS). The static contact angle measurement was performed to study the effects of $O_2$ plasma treatment on the formation of MPTS monolayer. The block copolymer nanotemplates formed on Au surface were analyzed by scanning electron microscopy. The results showed that the ordering of self-assembled block copolymer pattern and the formation of cylindrical nano hole arrays were enhanced dramatically by oxygen plasma treatment. Thus, the oxidation of gold surface by $O_2$ plasma treatment enables the MPTS to form the monolayer assembly leading to surface neutralization of gold substrates.

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Recurrent Pseudomonas aeruginosa Infection in Chronic Lung Diseases: Relapse or Reinfection?

  • Yum, Ho-Kee;Park, I-Nae;Shin, Bo-Mun;Choi, Soo-Jeon
    • Tuberculosis and Respiratory Diseases
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    • 제77권4호
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    • pp.172-177
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    • 2014
  • Background: Pseudomonas aeruginosa infection is particularly associated with progressive and ultimately chronic recurrent respiratory infections in chronic obstructive pulmonary disease, bronchiectasis, chronic destroyed lung disease, and cystic fibrosis. Its treatment is also very complex because of drug resistance and recurrence. Methods: Forty eight cultures from 18 patients with recurrent P. aeruginosa pneumonia from 1998 to 2002 were included in this study. Two or more pairs of sputum cultures were performed during 2 or more different periods of recurrences. The comparison of strains was made according to the phenotypic patterns of antibiotic resistance and chromosomal fingerprinting by pulsed field gel electrophoresis (PFGE) using the genomic DNA of P. aeruginosa from the sputum culture. Results: Phenotypic patterns of antibiotic resistance of P. aeruginosa were not correlated with their prior antibiotic exposition. Fifteen of 18 patients (83.3%) had recurrent P. aeruginosa pneumonia caused by the strains with same PFGE pattern. Conclusion: These data suggest that the most of the recurrent P. aeruginosa infections in chronic lung disease occurred due to the relapse of prior infections. Further investigations should be performed for assessing the molecular mechanisms of the persistent colonization and for determining how to eradicate clonal persistence of P. aeruginosa.

Recognition and Classification of Power Quality Disturbances on the basis of Pattern Linguistic Values

  • Liu, XiaoSheng;Liu, Bo;Xu, DianGuo
    • Journal of Electrical Engineering and Technology
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    • 제11권2호
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    • pp.309-319
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    • 2016
  • This paper presents a new recognition and classification method for power quality (PQ) disturbances on the basis of pattern linguistic values. This method solves the difficulty of recognizing disturbances rapidly and accurately by using fuzzy logic. This method uses classification disturbance patterns to define the linguistic values of fuzzy input variables and used the input variables of corresponding disturbance pattern to set membership functions. This method also sets the fuzzy rules by analyzing the distribution regularities of the input variable values. One characteristic of this method is that the linguistic values of fuzzy input variables and the setting of membership functions are not only related to the input variables but also to the character of classification disturbance and the classification results. Furthermore, the number of fuzzy rules is equal to the number of disturbance patterns. By using this method for disturbance classification, the membership function and design of fuzzy rules are directly related to the objective of classification, thus effectively reducing the complexity of the design process and yielding accurate classification results. The classification results of the simulation and measured data verify the feasibility and effectiveness of this method.

생분해성 iodophor microsphere 함유 유두침지 소독제의 건유기 젖소에서의 유방내 신규감염 예방 효과 (Effects of teat dipping disinfectant containing biodegradable iodophor microspheres on preventing dry period intramammary infection in dairy cows)

  • 황철용;김종민;윤화영;한박;한홍율
    • 대한수의학회지
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    • 제44권1호
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    • pp.113-120
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    • 2004
  • 1% iodophor loaded microspheres of PLGA (Poly[DL-Lactide-co-Glycolide]) were prepared by solvent evaporation method and were applied to the cows on dry period for evaluating it's preventive effects on intramammary infections. The morphology of the microspheres were evaluated using scanning electron microscopy and their releasing patterns were investigated. On investigating idophor releasing patterns of the microsphere, burst releasing pattern was detected until 2 days after in vitro incubation and sustained releasing was observed until 4 weeks. In field trial of teat dipping solution containing idophor loaded microspheres in dry cows showed significant preventive effects of intramammary infection caused by S. aureus, S. agalactiae, coagulase negative Staphylococci and coliform bacteria (p<0.05).

SELDI-TOF MS Combined with Magnetic Beads for Detecting Serum Protein Biomarkers and Establishment of a Boosting Decision Tree Model for Diagnosis of Pancreatic Cancer

  • Qian, Jing-Yi;Mou, Si-Hua;Liu, Chi-Bo
    • Asian Pacific Journal of Cancer Prevention
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    • 제13권5호
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    • pp.1911-1915
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    • 2012
  • Aim: New technologies for the early detection of pancreatic cancer (PC) are urgently needed. The aim of the present study was to screen for the potential protein biomarkers in serum using proteomic fingerprint technology. Methods: Magnetic beads combined with surface-enhanced laser desorption/ionization (SELDI) TOF MS were used to profile and compare the protein spectra of serum samples from 85 patients with pancreatic cancer, 50 patients with acute-on-chronic pancreatitis and 98 healthy blood donors. Proteomic patterns associated with pancreatic cancer were identified with Biomarker Patterns Software. Results: A total of 37 differential m/z peaks were identified that were related to PC (P < 0.01). A tree model of biomarkers was constructed with the software based on the three biomarkers (7762 Da, 8560 Da, 11654 Da), this showing excellent separation between pancreatic cancer and non-cancer., with a sensitivity of 93.3% and a specificity of 95.6%. Blind test data showed a sensitivity of 88% and a specificity of 91.4%. Conclusions: The results suggested that serum biomarkers for pancreatic cancer can be detected using SELDI-TOF-MS combined with magnetic beads. Application of combined biomarkers may provide a powerful and reliable diagnostic method for pancreatic cancer with a high sensitivity and specificity.

Power Consumption Pattern Analysis of Home Appliances for DC-based Green Smart Home

  • 서갑수;백종복;박철우;배현수;조보형
    • 전력전자학회:학술대회논문집
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    • 전력전자학회 2010년도 하계학술대회 논문집
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    • pp.240-241
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    • 2010
  • Research on modification and replacement of conventional AC distribution system to DC distribution system has been widely conducted. When DC system is applied, it is possible to improve energy transferring efficiency because most of the home appliances are electric loads which require DC input voltage. Furthermore, compatibility with renewable energy sources and secondary batteries should be improved as they are DC based power sources. To design energy efficient DC system, it is important to understand the load characteristics of the electric devices. In this paper, the electric appliances are classified to 3 types: motor, heating, and electric loads and their typical power consumptions are shown. Load patterns of load which can be used in analyzing the designed system are modeled according the statistics. Feasibility of the developed load patterns are verified by applying it in distribution system design tool.

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