• Title/Summary/Keyword: Local affinity

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Functions of a-Tropomyosin Are Mainly Dependent upon the Local Structures of the Amino Terminus (a-Tropomyosin의 아미노 말단 구조가 기능에 미치는 영향)

  • Cho, Young-Joon
    • Journal of Life Science
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    • v.14 no.5
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    • pp.770-777
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    • 2004
  • It has been previously reported that unacetylated a-tropomyosin(TM) produced in E. coli failed to bind to actin while acetylated muscle TM and Ala-Ser dipeptide fusion TM (AS-TM) bound well to actin. In order to determine the structural requirement of the amino terminus for high actin affinity, a recombinant tropomyosin (Ala-TM) that a single Ala residue was added to the amino terminus of Ala-TM was constructed, overexpressed, and purified from E. coli. Actin affinity of Ala-TM was 2.3$\times$$10^{6}$$M^{-1}$, whereas that of unacetylated TM was considerably lower than 0.1$\times$$10^{-6}$$M^{-1}$ indicating that addition of a single Ala residue to the amino terminus drastically increased, at least twenty times, actin affinity of TM. Ala-TM, however, bound to actin about three times weaker than acetylated TM and AS- TM, implying that the addition of an Ala residue was insufficient for complete restoration of high actin affinity. While Ala-TM, AS-TM, and muscle TM showed inhibition and activation of actomyosin Sl ATPase activity depending on myosin Sl concentration, the degree of inhibition and activation was different from each other. AS-TM exhibited the greatest inhibition of the ATPase at low Sl concentration, whereas the greatest activation of the ATPase was observed with muscle TM. These results, together with previous findings, strongly suggested that local structure of the amino terminus is the crucial functional determinant of TM.

Development and Structural-Activity Relationship of New Local Anti-inflammatory Steroid, Prednisolone Derivatives I. Binding Affinities to Rat Liver Glucocorticoid Receptor

  • Kim, Hyun-Pyo;Lee, Jong-Wook;Kim, Hack-Joo;Byun, Si-Myung;Lee, Henry-J
    • Archives of Pharmacal Research
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    • v.10 no.3
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    • pp.184-187
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    • 1987
  • ln order to develope anti-inflammatory glucocorticoids for local use without systemic side-effects, ester and amide derivatives of 20$\xi$-dihydroprednisolonic acid have been prepared. When binding affinities of these compounds to glucocorticoid receptor of rat liver cytosol were compared, all a-isomer at C-20 showed higher binding affinities than the corres¬ponding $\beta$-isomer. The size of the substituents at C-21 had significant influences on binding affinities, which were related with their lipophilicity.

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Fabrication and Characteristics of Lateral Type Field Emitter Arrays

  • Lee, Jae-Hoon;Kwon, Ki-Rock;Lee, Myoung-Bok;Hahm, Sung-Ho;Park, Kyu-Man;Lee, Jung-Hee
    • JSTS:Journal of Semiconductor Technology and Science
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    • v.2 no.2
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    • pp.93-101
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    • 2002
  • We have proposed and fabricated two lateral type field emission diodes, poly-Si emitter by utilizing the local oxidation of silicon (LOCOS) and GaN emitter using metal organic chemical vapor deposition (MOCVD) process. The fabricated poly-Si diode exhibited excellent electrical characteristics such as a very low turn-on voltage of 2 V and a high emission current of $300{\;}\bu\textrm{A}/tip$ at the anode-to-cathode voltage of 25 V. These superior field emission characteristics was speculated as a result of strong surface modification inducing a quasi-negative electron affinity and the increase of emitting sites due to local sharp protrusions by an appropriate activation treatment. In respect, two kinds of procedures were proposed for the fabrication of the lateral type GaN emitter: a selective etching method with electron cyclotron resonance-reactive ion etching (ECR-RIE) or a simple selective growth by utilizing $Si_3N_4$ film as a masking layer. The fabricated device using the ECR-RIE exhibited electrical characteristics such as a turn-on voltage of 35 V for $7\bu\textrm{m}$ gap and an emission current of~580 nA/l0tips at anode-to-cathode voltage of 100 V. These new field emission characteristics of GaN tips are believed to be due to a low electron affinity as well as the shorter inter-electrode distance. Compared to lateral type GaN field emission diode using ECR-RIE, re-grown GaN emitters shows sharper shape tips and shorter inter-electrode distance.

A Max-Flow-Based Similarity Measure for Spectral Clustering

  • Cao, Jiangzhong;Chen, Pei;Zheng, Yun;Dai, Qingyun
    • ETRI Journal
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    • v.35 no.2
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    • pp.311-320
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    • 2013
  • In most spectral clustering approaches, the Gaussian kernel-based similarity measure is used to construct the affinity matrix. However, such a similarity measure does not work well on a dataset with a nonlinear and elongated structure. In this paper, we present a new similarity measure to deal with the nonlinearity issue. The maximum flow between data points is computed as the new similarity, which can satisfy the requirement for similarity in the clustering method. Additionally, the new similarity carries the global and local relations between data. We apply it to spectral clustering and compare the proposed similarity measure with other state-of-the-art methods on both synthetic and real-world data. The experiment results show the superiority of the new similarity: 1) The max-flow-based similarity measure can significantly improve the performance of spectral clustering; 2) It is robust and not sensitive to the parameters.

Multi-Radial Basis Function SVM Classifier: Design and Analysis

  • Wang, Zheng;Yang, Cheng;Oh, Sung-Kwun;Fu, Zunwei
    • Journal of Electrical Engineering and Technology
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    • v.13 no.6
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    • pp.2511-2520
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    • 2018
  • In this study, Multi-Radial Basis Function Support Vector Machine (Multi-RBF SVM) classifier is introduced based on a composite kernel function. In the proposed multi-RBF support vector machine classifier, the input space is divided into several local subsets considered for extremely nonlinear classification tasks. Each local subset is expressed as nonlinear classification subspace and mapped into feature space by using kernel function. The composite kernel function employs the dual RBF structure. By capturing the nonlinear distribution knowledge of local subsets, the training data is mapped into higher feature space, then Multi-SVM classifier is realized by using the composite kernel function through optimization procedure similar to conventional SVM classifier. The original training data set is partitioned by using some unsupervised learning methods such as clustering methods. In this study, three types of clustering method are considered such as Affinity propagation (AP), Hard C-Mean (HCM) and Iterative Self-Organizing Data Analysis Technique Algorithm (ISODATA). Experimental results on benchmark machine learning datasets show that the proposed method improves the classification performance efficiently.

A Study on the Effect of Local Cultural Characteristics in Yeoju City on the Components of Cultural Brand Assets (여주시 지역문화 특성이 문화브랜드 자산 구성요인에 미치는 영향 연구)

  • Lee Min Hui;Nam Sang Moon
    • The Journal of the Convergence on Culture Technology
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    • v.10 no.3
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    • pp.497-502
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    • 2024
  • Local culture plays a role in enhancing the cultural competence of citizens by approaching branding from the perspective of brandization by implying value amid changes in local traditions and modern times. Therefore, this study established a research model with brand loyalty, brand recognition, perceived quality, and brand image as dependent variables in order to analyze the impact of local cultural characteristics on cultural brand asset components. We tested the research hypothesis and analyzed it, As local cultural characteristics affect cultural brand asset components, it was found that it is necessary to change the perception of local culture and promote traditional culture. In addition, Yeoju City needs to plan a festival that combines tradition and local culture through the convergence of content and cultural policy for the recognition and brand image of the Yeoju Yeongneung, a World Heritage Site, and it is urgent to change the direction of citizens. In addition, it was found that it is desirable to expand research on the formation of cultural brand assets according to local cultural affinity.

Functional Characterization of the Major Surface Protein of Treponema maltophilum in Human Gingival Fibroblasts

  • Lee, Sung-Hoon;Choi, Bong-Kyu
    • International Journal of Oral Biology
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    • v.30 no.1
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    • pp.31-37
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    • 2005
  • Treponema maltophilum, a Group IV oral spirochete, is associated with periodontitis and endodontic infections. In this study we analyzed the functional role of the major surface protein of this organism (MspA) in human gingival fibroblasts (HGFs). The full-length gene encoding MspA was cloned and expressed in Escherichia coli by using the expression vector pQE-30. The recombinant protein (rMspA) was purified by affinity chromatography with nickel-nitrilotriacetic acid agarose and possible contamination of E. coli endotoxin in rMspA was removed by using polymyxin B-agarose. rMspA significantly induced the expression of pro inflammatory cytokines like IL-6 and IL-8 and intercellular adhesion molecule (ICAM)-1 in HGFs, when analyzed by reverse transcription-PCR, flow cytometry, and enzyme-linked immunosorbent assay. Our results indicate that MspA of T. maltophilum may play an important role in amplifying the local immune response by upregulating the expression of proinflammatory cytokines and ICAM-1.

Examination of Required Functions in the PBNM Scheme for Multiple Domains as Cyber Physical System that Utilizes Data Science and AI

  • Kazuya Odagiri;Shogo Shimizu;Naohiro Ishii
    • International Journal of Computer Science & Network Security
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    • v.23 no.2
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    • pp.31-38
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    • 2023
  • In the current Internet system, there are many problems using anonymity of the network communication such as personal information leaks and crimes using the Internet system. This is why TCP/IP protocol used in Internet system does not have the user identification information on the communication data, and it is difficult to supervise the user performing the above acts immediately. As a study for solving the above problem, there is the study of Policy Based Network Management (PBNM). This is the scheme for managing a whole Local Area Network (LAN) through communication control for every user. In this PBNM, two types of schemes exist. As one scheme, we have studied theoretically about the Destination Addressing Control System (DACS) Scheme with affinity with existing internet. By applying this DACS Scheme to Internet system management, we will realize the policy-based Internet system management. In this paper, required functions in the PBNM Scheme for multiple domains as cyber physical system that utilizes data science and AI is examined.

Concept of the Cloud Type Virtual Policy Based Network Management Scheme for the Whole Internet

  • Kazuya, Odagiri;Shogo, Shimizu;Naohiro, Ishii
    • International Journal of Computer Science & Network Security
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    • v.23 no.1
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    • pp.71-77
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    • 2023
  • In the current Internet system, there are many problems using anonymity of the network communication such as personal information leaks and crimes using the Internet system. This is why TCP/IP protocol used in Internet system does not have the user identification information on the communication data, and it is difficult to supervise the user performing the above acts immediately. As a study for solving the above problem, there is the study of Policy Based Network Management (PBNM). This is the scheme for managing a whole Local Area Network (LAN) through communication control for every user. In this PBNM, two types of schemes exist. As one scheme, we have studied theoretically about the Destination Addressing Control System (DACS) Scheme with affinity with existing internet. By applying this DACS Scheme to Internet system management, we will realize the policy-based Internet system management. In this paper, to realize it, concept of the Internet PBNM Scheme is proposed as the final step.

Basic System Design in the PBNM Scheme for Multiple Domains as Cyber Physical System Using Data Science and AI

  • Kazuya Odagiri;Shogo Shimizu;Naohiro Ishii
    • International Journal of Computer Science & Network Security
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    • v.23 no.11
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    • pp.1-7
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    • 2023
  • In the current Internet system, there are many problems using anonymity of the network communication such as personal information leaks and crimes using the Internet system. This is why TCP/IP protocol used in Internet system does not have the user identification information on the communication data, and it is difficult to supervise the user performing the above acts immediately. As a study for solving the above problem, there is the study of Policy Based Network Management (PBNM). This is the scheme for managing a whole Local Area Network (LAN) through communication control for every user. In this PBNM, two types of schemes exist. As one scheme, we have studied theoretically about the Destination Addressing Control System (DACS) Scheme with affinity with existing internet. By applying this DACS Scheme to Internet system management, we will realize the policy-based Internet system management. In this paper, basic system design for PBNM scheme for multi-domain management utilizing data science and AI is proposed.