• Title/Summary/Keyword: SAGA

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Cancer Prevention with Green Tea and Its Principal Constituent, EGCG: from Early Investigations to Current Focus on Human Cancer Stem Cells

  • Fujiki, Hirota;Watanabe, Tatsuro;Sueoka, Eisaburo;Rawangkan, Anchalee;Suganuma, Masami
    • Molecules and Cells
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    • v.41 no.2
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    • pp.73-82
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    • 2018
  • Cancer preventive activities of green tea and its main constituent, (-)-epigallocatechin gallate (EGCG) have been extensively studied by scientists all over the world. Since 1983, we have studied the cancer chemopreventive effects of EGCG as well as green tea extract and underlying molecular mechanisms. The first part of this review summarizes groundbreaking topics with EGCG and green tea extract: 1) Delayed cancer onset as revealed by a 10-year prospective cohort study, 2) Prevention of colorectal adenoma recurrence by a double-blind randomized clinical phase II trial, 3) Inhibition of metastasis of B16 melanoma cells to the lungs of mice, 4) Increase in the average value of Young's moduli, i.e., cell stiffness, for human lung cancer cell lines and inhibition of cell motility and 5) Synergistic enhancement of anticancer activity against human cancer cell lines with the combination of EGCG and anticancer compounds. In the second part, we became interested in cancer stem cells (CSCs). 1) Cancer stem cells in mouse skin carcinogenesis by way of introduction, after which we discuss two subjects from our review on human CSCs reported by other investigators gathered from a search of PubMed, 2) Expression of stemness markers of human CSCs compared with their parental cells, and 3) EGCG decreases or increases the expression of mRNA and protein in human CSCs. On this point, EGCG inhibited self-renewal and expression of pluripotency-maintaining transcription factors in human CSCs. Human CSCs are thus a target for cancer prevention and treatment with EGCG and green tea catechins.

Heat transfer enhancement of metal hydride $(Mm\;(La_{0.6-0.8})\;Ni_{4.0}Co_{0.6}Mn_{0.2}Al_{0.2})$ for hydrogen storage (수소저장용 금속수소화물$(Mm\;(La_{0.6-0.8})\;Ni_{4.0}Co_{0.6}Mn_{0.2}Al_{0.2})$의 전열촉진)

  • Bae, Sang-Chul;Yang, Yang;Masanori, Monde
    • 한국신재생에너지학회:학술대회논문집
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    • 2006.06a
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    • pp.33-36
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    • 2006
  • The effective thermal conductivities of $Mm\;(La_{0.6-0.8})\;Ni_{4.0}Co_{0.6}Mn_{0.2}Al_{0.2}$ (TL-492) with hydrogen and helium have been examined. Experiment results show that pressure has great influence on effective thermal conductivity in Low pressure range (below 0.5 MPa). And that influence decreases rapidly with increase of gas pressure. The reason is at low pressure, the mean free path of gas becomes greater than effective thickness of gas film which is important to the heat transfer mechanism in this research. And, carbon fibers have been used to try to enhance the poor thermal conductivity of TL-492. Three types of carbon fibers and three mass fractions have been examined and compared. Naturally, the highest effective thermal conductivity has been reached with carbon fiber which has highest thermal conductivity, and highest mass fraction. This method has acquired 4.33 times higher thermal conductivity than pure metal hydrides with quite low quantity of additives, only 0.99wt% of carbon fiber. This is a good result comparing to other method which can reach higher effect ive thermal conductivity but needs much higher mass fraction of additives too.

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Using Evolutionnary algorithms to Design Mobile Manipulators

  • Keigo, Watanabe;Lee, Min-Cheol
    • 제어로봇시스템학회:학술대회논문집
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    • 2001.10a
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    • pp.44.4-44
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    • 2001
  • A new approach to design and control mobile manipulators is presented in this paper, associating genetic algorithm to multicriteria optimization to generate and value the robots according to the constraints and aims of the task. Then the first step of this approach is detailed, as topologies and configurations of manipulators that can assume position, trajectory, speed or force task are studied.

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Prediction of Cascade Performance of Circular-Arc Blades with CFD

  • Suzuki, Masami;Setoguchi, Toshiaki;Kaneko, Kenji
    • International Journal of Fluid Machinery and Systems
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    • v.4 no.4
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    • pp.360-366
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    • 2011
  • Thin circular-arc blade is often used as a guide vane, a deflecting vane, or a rotating blade of low pressure axial-flow turbomachine because of its easy manufacture. Ordinary design of the blade elements of these machines is done by use of the carpet diagrams for a cascade of circular-arc blades. However, the application of the carpet diagrams is limited to relatively low cambered blade operating under optimum inlet flow conditions. In order to extend the applicable range, additional design data is necessary. Computational fluid dynamics (CFD) is a promising method to get these data. In this paper, two-dimensonal cascade performances of circular-arc blade are widely analyzed with CFD. The results have been compared with the results of experiment and potential theory, and useful information has been obtained. Turning angle and total pressure loss coefficients are satisfactorily predicted for lowly cambered blade. For high camber angle of $67^{\circ}$, the CFD results agree with experiment for the angle of attack less than that for shockless inlet condition.

Multi-Dimensional Reinforcement Learning Using a Vector Q-Net - Application to Mobile Robots

  • Kiguchi, Kazuo;Nanayakkara, Thrishantha;Watanabe, Keigo;Fukuda, Toshio
    • International Journal of Control, Automation, and Systems
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    • v.1 no.1
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    • pp.142-148
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    • 2003
  • Reinforcement learning is considered as an important tool for robotic learning in unknown/uncertain environments. In this paper, we propose an evaluation function expressed in a vector form to realize multi-dimensional reinforcement learning. The novel feature of the proposed method is that learning one behavior induces parallel learning of other behaviors though the objectives of each behavior are different. In brief, all behaviors watch other behaviors from a critical point of view. Therefore, in the proposed method, there is cross-criticism and parallel learning that make the multi-dimensional learning process more efficient. By ap-plying the proposed learning method, we carried out multi-dimensional evaluation (reward) and multi-dimensional learning simultaneously in one trial. A special neural network (Q-net), in which the weights and the output are represented by vectors, is proposed to realize a critic net-work for Q-learning. The proposed learning method is applied for behavior planning of mobile robots.

The Characteristics of High Voltage Output Flux Pump for Superconducting Magnet (초전도 마그네트용 고출력 플럭스 펌프의 특성)

  • Choi, Kyeong-Dal;Hahn, Song-Yop;Tsukiji, Hiroshi;Hoshino, Tsutomu;Muta, Itsuya
    • Proceedings of the KIEE Conference
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    • 1996.07a
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    • pp.86-88
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    • 1996
  • Using superconducting magnetic flux pump, thick power leads for a superconducting magnet could be replaced with thin string leads for the excitation magnet to the superconducting flux pump. We have developed a new type flux pump with high voltage output to shorten the charge and discharge time of the load magnet. The test of four stacked disks as the excither for the load magnet has been carried out. This disk type flux pump yielded 70 mV of voltage across its terminal and 10 A of current through 85 mH load magnet which was the field winding of 20 kVA class fully superconducting generator within 12 seconds. This output voltage of the new superconducting flux pump is about 10 times larger than that of the previous work Moreover since it is easy to stack the disks for the superconduction flux pump, the high voltage exciter for the 1H class superconducting magnet would be expected to be made easily.

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Construction of morphological filter for single trial recording of event-related potentials

  • Nishida, Shigeto;Nakamura, Masatoshi;Miyazaki, Masahito;Suwazono, Shugo;Honda, Manabu;Nagamine, Takashi;Shibasaki, Hiroshi
    • 제어로봇시스템학회:학술대회논문집
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    • 1993.10b
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    • pp.283-287
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    • 1993
  • We constructed morphological filter for single sweep records of event-related potential (ERP), especially P300 waveform. By combining 4 basic operations; erosion, dilation, opening and closing, we can derive any desired filters whose property fits the current objectives. The morphological filter for single sweep records of ERP was constructed by taking account of the features of the signal and noise components. The morphological filter has superior properties of separating the signal ancl the noise even existing within a same frequency band. The constructed morphological filter was tested by using simulation data of ERP and then applied to actual ERP data of a normal subject. The results proved that the constructed morphological filter was an appropriate tool for single sweep records of ERP.

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