• Title/Summary/Keyword: Keio University

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Apoptotic Signaling Cascade of 5-aminolaevulinic Acid-based Photodynamic Therapy in Human Promyelocytic Leukemia HL-60 Cells

  • Nagao, Tomokazu;Matsuzaki, Kazuki;Takahashi, Miho;Minamitani, Haruyuki
    • Journal of Photoscience
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    • v.9 no.2
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    • pp.509-511
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    • 2002
  • In this study, we investigated apoptotic cell death induced by photodynamic therapy using 5-aminolaevulinic acid (ALA-PDT) in human promyelocytic leukemia cells (HL-60). ALA-PDT induced apoptosis in HL-60 cells as confirmed by DNA agarose gel electrophoresis and nuclear staining with Hoechst 33342. The apoptotic cell death was inhibited by addition of broad-spectrum caspase inhibitor Z-Asp-CH$_2$-DCB, indicating that the apoptotic cell death was induced in a caspase-dependent manner. Actually, western blotting analysis revealed that caspase-3 was processed as early as 1.5 h after ALA-PDT. Cytoplasmic cytochrome c released from mitochondria was detected by western blotting. However, inhibitor of caspase-9, a cysteine protease located in the downstream of cytochrome c release, was not able to reduce the apoptotic cell death. Therefore, the mitochondrial apoptotic pathway was not involved in the ALA-PDT-induced apoptosis. On the other hand, it was found that ALA-PDT-induced apoptosis was clearly inhibited by pretreatment of caspase-8 inhibitor. These data suggest that caspase-8-mediated apoptotic pathway is important in ALA-PDT-induced cell death.

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Analytical Estimation of the Propulsive Performance of Pulse Detonation Engines

  • Endo, Takuma;Yatsufusa, Tomaaki;Taki, Shiro;Kasahara, Jiro;Matsuo, Akiko;Inaba, Kazuaki;Sato, Shigeru
    • Proceedings of the Korean Society of Propulsion Engineers Conference
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    • 2004.03a
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    • pp.506-512
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    • 2004
  • We analytically estimated the propulsive performance of pulse detonation engines (PDEs) in three cases, which were (1) a fully-fueled simplified PDE, (2) a partially-fueled simplified PDE, and (3) a PDE optimized as a system. The results of the model analyses in the cases of (1) and (2) were in good agreement with published experimental data which were obtained by using simplified PDEs. The comparison between the results of the analyses of simplified PDEs and those of optimized PDE systems showed that specific impulse would become higher by about 10-20% due to PDE-system optimization.

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OUTREACH ACTIVITY USING THE INTERNET TELESCOPE

  • UEDA, HARUHIKO;YAMAMOTO, YUKI;OMOTE, MINORU;SAKODA, SEIJI;TODA, KOUICHI
    • Publications of The Korean Astronomical Society
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    • v.30 no.2
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    • pp.749-751
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    • 2015
  • We here report on the outreach activity using the Keio University Internet telescope performed by Science agora 2012 and 2013 in Tokyo. Many visitors came to our booth and operated the Keio University Internet telescope, and our project was awarded the prize of the National Institute of Advanced Industrial Science and Technology. In addition, based on the questionnaire for that occasion, the usefulness of the Internet telescopes in outreach activities is considered.

Combined extracranial and intracranial approach for resection of dermoid cyst of the sphenoid bone with a cutaneous sinus tract across the frontal branch of the facial nerve

  • Ishii, Naohiro;Fukazawa, Emi;Aoki, Tomoko;Kishi, Kazuo
    • Archives of Craniofacial Surgery
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    • v.20 no.2
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    • pp.116-120
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    • 2019
  • Frontotemporal dermoid cysts with a cutaneous sinus tract in the sphenoid bone are rarely found, and furthermore, the spreading of these cysts across the frontal branch of the facial nerve has not been reported. Herein, we present a 5-year-old case of a dermoid cyst successfully resected with preservation of this nerve using a combined extracranial and intracranial approach. This approach is recommended for a safe and radical resection of the lesion and for securing an aesthetic outcome.

Adaptive Predistortion Compensation for Nonlinearity of High Power Amplifiers

  • Ding, Yuanming;Ohmori, Hiromitsu;Sano, Akira
    • 제어로봇시스템학회:학술대회논문집
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    • 2003.10a
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    • pp.122-127
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    • 2003
  • In this paper, an adaptive predistortion scheme is proposed to compensate nonlinear distortions caused by high power amplifiers (HPA) in OFDM systems. A complex Wiener-Hammerstein model (WHM) is used to describe input-output relationship of HPA with linear dynamics. The predistorter is directly identified by complex power series model with memory, which is an approximate inverse of the HPA expressed by the WHM. The effectiveness of the proposed adaptive compensation scheme is validated by numerical simulation for 64QAM-OFDM systems.

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Microsurgical Training using Reusable Human Vessels from Discarded Tissues in Lymph Node Dissection

  • Ishii, Naohiro;Kiuchi, Tomoki;Oji, Tomito;Kishi, Kazuo
    • Archives of Plastic Surgery
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    • v.43 no.6
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    • pp.595-598
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    • 2016
  • The use of human vessels at the beginning of microsurgery training is highly recommended. But vessels with the appropriate length for training are not often obtained. Whether these vessels may be reused for training has not been reported. Accordingly, we harvested vessels from discarded tissues in lymph node dissection and demonstrated that vascular anastomosis training using the same human vessels several times is possible by placing the vessels in a freezer and defrosting them with hot water. Vascular walls can be stored for microsurgical training until about 4 years after harvest, as shown in the gross appearance and histologic findings of our preserved vessels. We recommend the technique presented here for the long-term reuse of human vessels for microsurgery training that closely resembles real procedures.

Additional Learning Framework for Multipurpose Image Recognition

  • Itani, Michiaki;Iyatomi, Hitoshi;Hagiwara, Masafumi
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 2003.09a
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    • pp.480-483
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    • 2003
  • We propose a new framework that aims at multi-purpose image recognition, a difficult task for the conventional rule-based systems. This framework is farmed based on the idea of computer-based learning algorithm. In this research, we introduce the new functions of an additional learning and a knowledge reconstruction on the Fuzzy Inference Neural Network (FINN) (1) to enable the system to accommodate new objects and enhance the accuracy as necessary. We examine the capability of the proposed framework using two examples. The first one is the capital letter recognition task from UCI machine learning repository to estimate the effectiveness of the framework itself, Even though the whole training data was not given in advance, the proposed framework operated with a small loss of accuracy by introducing functions of the additional learning and the knowledge reconstruction. The other is the scenery image recognition. We confirmed that the proposed framework could recognize images with high accuracy and accommodate new object recursively.

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Posterior density estimation for structural parameters using improved differential evolution adaptive Metropolis algorithm

  • Zhou, Jin;Mita, Akira;Mei, Liu
    • Smart Structures and Systems
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    • v.15 no.3
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    • pp.735-749
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    • 2015
  • The major difficulty of using Bayesian probabilistic inference for system identification is to obtain the posterior probability density of parameters conditioned by the measured response. The posterior density of structural parameters indicates how plausible each model is when considering the uncertainty of prediction errors. The Markov chain Monte Carlo (MCMC) method is a widespread medium for posterior inference but its convergence is often slow. The differential evolution adaptive Metropolis-Hasting (DREAM) algorithm boasts a population-based mechanism, which nms multiple different Markov chains simultaneously, and a global optimum exploration ability. This paper proposes an improved differential evolution adaptive Metropolis-Hasting algorithm (IDREAM) strategy to estimate the posterior density of structural parameters. The main benefit of IDREAM is its efficient MCMC simulation through its use of the adaptive Metropolis (AM) method with a mutation strategy for ensuring quick convergence and robust solutions. Its effectiveness was demonstrated in simulations on identifying the structural parameters with limited output data and noise polluted measurements.