Kyungsup Kim

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Although PDCD5 promotes p53-mediated apoptosis in various cancers, little is known about PDCD5 regulation. We recently found that DNAJB1 interacts with PDCD5 and induces the ubiquitin-dependent proteasomal degradation of PDCD5, thereby inhibiting p53-mediated apoptosis. To investigate these novel roles for PDCD5 and DNAJB1, we performed DNAJB1 mapping with(More)
We propose an adaptive clustering algorithm with power control, ACA-PC, that chooses adaptive clusters and controls transmission power levels in order to minimize the total energy consumption of the sensor networks and maximize the amount of transmission data. Our core concepts are zone division and dynamic power control. A sensor network is divided into n(More)
This paper proposes a modified Vegas algorithm, which can be adjusted to take a fair share of the bandwidth compared to other TCP’s. In order to do this, we investigate the maximum round-trip time achievable in steady state flows fully utilizing available link capacities without marking packets. With this, the marking queue delay is defined. We also propose(More)
We present a “Krein-space version” of the Schur recursion for the -spectral factorization which arises in -related problems. The most notable difference of the proposed Schur recursion from the ordinary one is that the proposed recursion can handle temporary changes of the inertia during the process. We show that the Schur recursion in the Krein-space(More)
The glycolytic phenotype is a dominant metabolic phenomenon in cancer and is reflected in becoming aggressive. Certain hepatocellular carcinoma lack increased glycolysis and prefer to uptake acetate than glucose for metabolism. Autophagy plays a role in preserving energies and nutrients when there is limited external nutrient supply and maintains glucose(More)
To facilitate the efficient support of quality of service(QoS) in Cognitive Radio network, it is essential to model a wireless channel and traffic in terms of QoS metrics such as data rate, delay and error rate. We propose and develop a wireless channel model termed the effective capacity in Cognitive Radio network. We model the effective capacity as a(More)