• Applied Microscopy
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• v.46 no.4
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• pp.171-175
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• 2016

A distinctive neuronal network in the brain is believed to make us unique individuals. Electron microscopy is a valuable tool for examining ultrastructural characteristics of neurons, synapses, and subcellular organelles. A recent technological breakthrough in volume electron microscopy allows large-scale circuit reconstruction of the nervous system with unprecedented detail. Serial-section electron microscopy-previously the domain of specialists-became automated with the advent of innovative systems such as the focused ion beam and serial block-face scanning electron microscopes and the automated tape-collecting ultramicrotome. Further advances in microscopic design and instrumentation are also available, which allow the reconstruction of unprecedentedly large volumes of brain tissue at high speed. The recent introduction of correlative light and electron microscopy will help to identify specific neural circuits associated with behavioral characteristics and revolutionize our understanding of how the brain works.

• Journal of the Korean Society of Manufacturing Process Engineers
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• v.20 no.1
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• pp.7-15
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• 2021

Buckling of cylindrical structures has been extensively researched, because it is an important phenomenon to be considered in structural design. However, the evaluation of thermal effects on the buckling of cylindrical structures has been insufficient; therefore, this study evaluates this thermal effect using shell elements. In addition, the thermal effect on the buckling of temperature-dependent nonlinear materials was evaluated. Nonlinear and linear buckling analyses were performed using the arc-length method to investigate the behavioral characteristics of a cylindrical structure. The basic theory of the linear buckling analysis of a cylindrical structure subjected to thermal stress was derived and presented by applying the thermal stress basic theory.

• Korean Journal of Social Welfare
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• v.67 no.2
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• pp.85-112
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• 2015

This study examined the relationship structure among personal and social cognitive factors contributing to professional help-seeking decisions to relieve distress of those in low-income, then suggested an appropriate model to inform knowledge for better social work practice. Using data of a purposive sampling from 331 low-income people, covariance structural analyses were conducted in two stages of model exploration, one for TPB model and another for its extended model including the level of distress, family support, and willingness. As results, in the path analyses with the observed variables of the basic components of the TPB, subjective norm showed the strongest effect on the intention, following by attitudes towards help-seeking, then behavioral control the least; in turn both the intention, positively, and behavioral control, negatively, contributed to help-seeking decisions. In the second stage of the path analyses with the extended model of the TPB, each of distress and family support demonstrated direct positive effect on each of attitudes, subjective norm, and behavioral control; each of the attitudes, subjective norm, and behavioral control showed positive effect on both intention and willingness; in turn, while intention showed strong positive effect on help-seeking decisions, willingness had no significant effect and behavioral control had negative effect on decisions. There were significant indirect effects of behavioral control on intention through willingness and of willingness on decisions through intention. These results suggested that the TPB model is useful for modeling help-seeking decisions through personal and social cognitions, especially the significance of subjective norm implied the importance of social cognition for the people in low-income with distress. Further, it was implied that the extended model needs to address particularity of those people in low-income and the mechanism shown by behavioral control and willingness implied the importance of practicing respect for the client's autonomy and will for self-support in social work practice.

• Journal of Korean Society of Coastal and Ocean Engineers
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• v.33 no.5
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• pp.203-216
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• 2021

Analyzing various wave interactions with oscillating wave surge converters (OWSC) is essential because they must be operated efficiently under a wide range of wave conditions and designed to extract optimal wave energy. In the conceptual design and development stage of OWSC, numerical analysis can be a good alternative as a design tool. This study performed a numerical analysis on the behavioral characteristics of the inverted triangle flap against the incident waves using open source CFD to examine the essential behavioral attributes of OWSC. Specifically, the behavioral characteristics of the structure were studied by calculating the free water surface displacement and the flap rotation angle near the inverted triangular flap according to the change of the period under the regular wave conditions. By comparing and examining the numerical analysis results with the hydraulic model experiments, the validity of the analysis performed and the applicability in analyzing the wave-structure interactions related to OWSC was verified. The numerical analysis result confirmed that the hydrodynamic behavior characteristic due to the interactions of the wave and the inverted triangle flap was well reproduced.

• Journal of applied mathematics & informatics
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• v.41 no.4
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• pp.861-868
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• 2023

Nonlinear network creates complex homotopy structural communication in wireless network medium because of complex distribution approach. Due to this multicast topological connection structure, the queuing probability was non regular principles to create routing structures. To resolve this problem, we propose a Co-cluster homotopy queuing model (Co-CHQT) for Nonlinear Algebraic Topological Structure (NLTS-) for improving poison distribution network communication. Initially this collects the routing propagation based on Nonlinear Distance Theory (NLDT) to estimate the nearest neighbor network nodes undernon linear at x_(a,b)→ax²+bx² = c. Then Quillen Network Decomposition Theorem (QNDT) was applied to sustain the non-regular routing propagation to create cluster path. Each cluster be form with co variance structure based on Two unicast 2(n+1)-Z2(n+1)-Z network. Based on the poison distribution theory X_(a,b) ≠ µ(C), at number of distribution routing strategies weights are estimated based on node response rate. Deriving shorte;'l/st path from behavioral of the node response, Hilbert -Krylov subspace clustering estimates the Cluster Head (CH) to the routing head. This solves the approximation routing strategy from the nonlinear communication depending on Max- equivalence theory (Max-T). This proposed system improves communication to construction topological cluster based on optimized level to produce better performance in distance theory, throughput latency in non-variation delay tolerant.

• Journal of Global Scholars of Marketing Science
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• v.15 no.2
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• pp.99-122
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• 2005

This study intends to divide consumer's psychological attachment of pro-sport into the identification of attitudinal dimension and the identification of behavioral dimension. And then intends to examine the relationship effect between motivation variables associated with pro-sport team(concern with the team's ranking, ability of players, attraction of players) and inspection intention, sponsorship effect(sponsor brand attitude). Almost all previous studies measured such relationship at the fragmented level, then there were no previous studies on the complicated relationship between sport team and sponsorship. Because of mentioned facts, this study used structure equation model to verify such relationship. Briefly, verifying hypothesis is as follows. First, almost all motivations related to the team are connected behavioral identification through attitudinal identification. Second, when examining the relationship between psychological attachment and inspection intention, sponsorship brand attitude, psychological attachment had positive effect on inspection intention and sponsor brand attitude in the case of attitudinal identification, but it had positive effect on only inspection intention in the case of behavioral identification. Findings and corresponding implications are discussed & future research directions.

• The Journal of the Korea Contents Association
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• v.11 no.9
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• pp.63-75
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• 2011

A number of process algebras have been proposed to develop distributed mobile real-time systems: pi-Calculus, Mobile Ambients Calculus, Bigraph, etc. However, as the systems get large and complex, the algebras become less suitable for understanding the interactions and mobility of the processes of the systems due to the size and complexity. Therefore it is necessary to handle the size and complexity for systematic understanding of the systems. This paper handles the size and complexity with a method of abstraction on sequences of interactions and movements of processes in the systems, which can be further organized in the form of hierarchically structured lattices, namely, Prism. The theoretical principle of the abstraction is based on a new concept of Behavior Ontology, which is extended from Active ontology. Prism allows the systems to be analyzed in the perspective of the lattices in Prism, which are characterized by the hierarchically organized behavioral properties of the developing systems, for systematic understanding the systems. In this way, the complexity of the interactions and the movements can be handled systematically in the semantically and hierarchically organized structure of the behavior.

• The Journal of Society for e-Business Studies
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• v.7 no.1
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• pp.87-106
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• 2002

The behavioral and dynamic implications of an ERP implementation/installation are, to say the least, not well understood. Getting the switches set to enable the ERP software to go live is becoming straightforward. The really difficult part is understanding all of the dynamic interactions that accrue as a consequence. Dynamic causal and connectionist models are employed to facilitate an understanding of the dynamics and to enable control of the information-enhanced processes to take place. The connectionist model ran be analyzing (behind the scenes) the information accesses and transfers and coming If some conclusions about strong linkages that are getting established and what the behavioral implications of those new linkages and information accesses we. Ultimately, the connectionist model will come to an understanding of the dynamic, behavioral implications of the larger ERP implementation/installation per se. The underlying connectionist model will determine information transfers and workflow. Once a map of these two infrastructures is determined by the model, it becomes a relatively easy job for an analyst to suggest improvements in both. Connectionist models start with analog object structures and then use learning to produce mechanisms for managerial problem diagnoses. These mechanisms are neural models with multiple-layer structures that support continuous input/output. Based on earlier work performed and published by the author[10][11], a Connectionist ReasOning and LEarning System(CROLES) is developed that mimics the real-world reasoning infrastructure. Coupled with an explanation subsystem, this system can provide explanations as to why a particular reasoning structure behaved the way it did. Such a system operates in the backgmund, observing what is happening as every information access, every information response coming from each and every intelligent node (whether natural or artificial) operating within the ERP infrastructure is recorded and encoded. The CROLES is also able to transfer all workflows and map these onto the decision-making nodes of the organization.

• Journal of the Korean Society of Clothing and Textiles
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• v.39 no.3
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• pp.433-445
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• 2015

This study examines factors that influence consumer behavior regarding the usage intentions and repurchasing behavior of counterfeits. Based on the Theory of Planned Behavior by Ajzen (1991), this study looks at the impact of attitude, subjective norm, perceived behavioral control, as well as the moral norm of consumers about intentions to use and repurchase counterfeits. An online survey was conducted on males and females over the age of 20 with previous experiences of purchasing counterfeits; subsequently, 209 responses were collected and analyzed. The covariance structure model was used to analyze the data in order to measure the factors that influence the usage of counterfeits and repurchasing behavior. The results show that attitude, subjective norm, and perceived behavioral control have significantly positive effects on usage intentions, while moral norm has a significantly negative effect on usage intentions. Usage intentions also have a significantly positive effect on repurchasing behavior and confirmed that usage intentions functions as the mediator. The variables that influence usage intentions are attitude, perceived behavioral control, moral norm, and subjective norm, in descending order. Consumer attitudes towards counterfeits is a major factor that influences usage intentions. Therefore, ethical problems should be emphasized to encourage a negative attitude towards counterfeits. This study identifies an important aspect to show that usage intentions toward counterfeits, and not purchasing intentions, influences repurchasing behavior. Findings are significant in that they reveal the role of the moral norm variable added to the TPB model.

• Journal of National Security and Military Science
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• s.8
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• pp.351-381
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• 2010

Established on February 1st, 2010, The ROKN maritime task flotilla has a goal to successfully cope with North Korea and other potential threats. Unlike precedents of its kind, The ROKN maritime task flotilla is expected to concentrate more an far-sea strategies than coastal strategies. In such circumstances however, the existing maritime logistics systems have limitations upon which to utterly support the operation conception of the ROKN maritime task flotilla seven. To ensure it's efficiency, transformation of the systems is prerequisite. The purpose of this study is to deduce an adequate maritime logistics system for the ROKN maritime task flotilla by evaluating the limitation of the current system and foreseeing its performance necessary abilities to operate in the future. In order to do this, the study presented problems and the direction of development on the structural and behavioral sides. Fist, regarding problems in the structure of maritime logistics system, the investigation pronounced the need of improvement in mobile logistics support ability and its speed. In addition, for the behavioral side, the need of improvement in logistics cooperation system and self-maintenance ability was affirmed. For the development of an adequate maritime logistics system, the study suggested the amelioration in the operation of an adequate mobile logistics support platform and the speed of the logistics using high-speed transportation such as planes for the structural side. Moreover, for the behavioral side, it recommended th enhancement of logistics cooperation system including the nations that already imported th weapon system, amelioration of self-maintenance ability, and necessity to operate mobile maintenance group.