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Daegu, South Korea

Daegu University is a private university in South Korea. Its campus is located a short distance outside Daegu, in Gyeongsan City, North Gyeongsang province. The school currently consists of 13 colleges from college of humanities to college of rehabilitation. The current president is Dr. Hong Duk Yul. Enrollment currently tops 20,000, and more than 780 professors are employed. Wikipedia.

Kwak S.,Daegu University
IEEE Transactions on Industrial Electronics | Year: 2010

In the last 30 years, industrial and academic research work has matured plasma display panels (PDPs) to the successful product level for commercial flat-screen television sets. Along with the development of panel manufacturing technology, recent advances in the development of electronic circuitry drivers have paved the way for achieving better performance, higher efficiency, and lower cost. A substantial number of notable driver topologies have been developed; however, most of the presented works have been focused on their own topology and operational principles without giving overall impressions related with other works. This paper is an attempt to provide insights into these diverse drivers of the PDPs by presenting an overview of the topologies. The driver configurations are classified based on the resonant energy source, the connecting type of resonant networks, and the number of levels of panel voltage. Selected drivers in each class are analyzed, and key structural characteristics are identified. Issues related to the practical implementation are also discussed. © 2006 IEEE.

Chang J.H.,Daegu University
Knowledge-Based Systems | Year: 2011

Sequential pattern mining, including weighted sequential pattern mining, has been attracting much attention since it is one of the essential data mining tasks with broad applications. The weighted sequential pattern mining aims to find more interesting sequential patterns, considering the different significance of each data element in a sequence database. In the conventional weighted sequential pattern mining, usually pre-assigned weights of data elements are used to get the importance, which are derived from their quantitative information and their importance in real world application domains. In general sequential pattern mining, the generation order of data elements is considered to find sequential patterns. However, their generation times and time-intervals are also important in real world application domains. Therefore, time-interval information of data elements can be helpful in finding more interesting sequential patterns. This paper presents a new framework for finding time-interval weighted sequential (TiWS) patterns in a sequence database and time-interval weighted support (TiW-support) to find the TiWS patterns. In addition, a new method of mining TiWS patterns in a sequence database is also presented. In the proposed framework of TiWS pattern mining, the weight of each sequence in a sequence database is first obtained from the time-intervals of elements in the sequence, and subsequently TiWS patterns are found considering the weight. A series of evaluation results shows that TIWS pattern mining is efficient and helpful in finding more interesting sequential patterns. © 2010 Elsevier B.V. All rights reserved.

Lattimer J.M.,State University of New York at Stony Brook | Lim Y.,Daegu University
Astrophysical Journal | Year: 2013

One of the major uncertainties in the dense matter equation of state has been the nuclear symmetry energy. The density dependence of the symmetry energy is important in nuclear astrophysics, as it controls the neutronization of matter in core-collapse supernovae, the radii of neutron stars and the thicknesses of their crusts, the rate of cooling of neutron stars, and the properties of nuclei involved in r-process nucleosynthesis. We show that fits of nuclear masses to experimental masses, combined with other experimental information from neutron skins, heavy ion collisions, giant dipole resonances, and dipole polarizabilities, lead to stringent constraints on parameters that describe the symmetry energy near the nuclear saturation density. These constraints are remarkably consistent with inferences from theoretical calculations of pure neutron matter, and, furthermore, with astrophysical observations of neutron stars. The concordance of experimental, theoretical, and observational analyses suggests that the symmetry parameters Sv and L are in the range 29.0-32.7 MeV and 40.5-61.9 MeV, respectively, and that the neutron star radius, for a 1.4 M⊙ star, is in the narrow window 10.7 km

The aim of this study was to provide the first, comprehensive meta-analysis of the neuroimaging literature regarding greater neural responses to a deviant stimulus in a stream of repeated, standard stimuli, termed here oddball effects. The meta-analysis of 75 independent studies included a comparison of auditory and visual oddball effects and task-relevant and task-irrelevant oddball effects. The results were interpreted with reference to the model in which a large-scale dorsal frontoparietal network embodies a mechanism for orienting attention to the environment, whereas a large-scale ventral frontoparietal network supports the detection of salient, environmental changes. The meta-analysis yielded three main sets of findings. First, ventral network regions were strongly associated with oddball effects and largely common to auditory and visual modalities, indicating a supramodal "alerting" system. Most ventral network components were more strongly associated with task-relevant than task-irrelevant oddball effects, indicating a dynamic interplay of stimulus saliency and internal goals in stimulus-driven engagement of the network. Second, the bilateral inferior frontal junction, an anterior core of the dorsal network, was strongly associated with oddball effects, suggesting a central role in top-down attentional control. However, other dorsal network regions showed no or only modest association with oddball effects, likely reflecting active engagement during both oddball and standard stimulus processing. Finally, prominent oddball effects outside the two networks included the sensory cortex regions, likely reflecting attentive and preattentive modulation of early sensory activity, and subcortical regions involving the putamen, thalamus, and other areas, likely reflecting subcortical involvement in alerting responses. © 2013 Wiley Periodicals, Inc.

Kim E.J.,Daegu University
Molecules | Year: 2011

The concepts of both protein glycosylation and cellular signaling have been influenced by O-linked-β-N-acetylglucosamine (O-GlcNAc) modification (O-GlcNAcylation) on the hydroxyl group of serine or threonine residues. Unlike conventional protein glycosylation, O-GlcNAcylation is localized in the nucleocytoplasm and its cycling is a dynamic process that operates in a highly regulated manner in response to various cellular stimuli. These characteristics render O-GlcNAcylation similar to phosphorylation, which has long been considered a major regulatory mechanism in cellular processes. Various efficient chemical approaches and novel mass spectrometric (MS) techniques have uncovered numerous O-GlcNAcylated proteins that are involved in the regulation of many important cellular events. These discoveries imply that O-GlcNAcylation is another major regulator of cellular signaling. However, in contrast to phosphorylation, which is regulated by hundreds of kinases and phosphatases, dynamic O-GlcNAc cycling is catalyzed by only two enzymes: uridine diphospho-N-acetyl-glucosamine:polypeptide β-N-acetylglucosaminyl transferase (OGT) and β-D-N-acetylglucosaminidase (OGA). Many useful chemical tools have recently been used to greatly expand our understanding of the extensive crosstalk between O-GlcNAcylation and phosphorylation and hence of cellular signaling. This review article describes the various useful chemical tools that have been developed and discusses the considerable advances made in the O-GlcNAc field. © 2011.

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