• 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.

• Journal of Oriental Neuropsychiatry
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• v.24 no.3
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• pp.281-292
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• 2013

Objectives : A growing body of evidence has suggested that the dysfunction of glutamatergic systems plays a pivotal role in major depressive disorder (MDD). This study was performed to investigate the antidepressant-like effects of the ethanolic extract of Gastrodia elata Bl (GE) in mouse models and to investigate the role of ${\alpha}$-amino-3-hydroxy-5-methyl-4-isoxazole-propionic acid (AMPA) receptors in producing these antidepressant-like effects. Methods : The forced swim test (FST) and tail suspension test (TST) were used to investigate GE's behavioral effects in mice. Additional biochemical and behavioral experiments with NBQX, an AMPA receptor antagonist, were undertaken to determine whether the antidepressant-like properties of GE are involved in AMPA receptor throughput. Results : Oral administration of GE extract (1,600 mg/kg) 1h prior to testing significantly reduced the immobility times in the FST and TST. These antidepressant-like effects of GE extract were increased dose-dependently. Pre-treatment with NBQX significantly attenuated the reduction in immobility time induced by the GE extract in the FST and TST. Conclusions : The ethanolic extract of GE may exert antidepressant-like effects with involvement of AMPA receptor.

• Communications for Statistical Applications and Methods
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• v.23 no.2
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• pp.131-146
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• 2016

In research on behavioral studies, significant attention has been paid to the stage-sequential process for longitudinal data. Latent class profile analysis (LCPA) is an useful method to study sequential patterns of the behavioral development by the two-step identification process: identifying a small number of latent classes at each measurement occasion and two or more homogeneous subgroups in which individuals exhibit a similar sequence of latent class membership over time. Maximum likelihood (ML) estimates for LCPA are easily obtained by expectation-maximization (EM) algorithm, and Bayesian inference can be implemented via Markov chain Monte Carlo (MCMC). However, unusual properties in the likelihood of LCPA can cause difficulties in ML and Bayesian inference as well as estimation in small samples. This article describes and addresses erratic problems that involve conventional ML and Bayesian estimates for LCPA with small samples. We argue that these problems can be alleviated with a small amount of prior input. This study evaluates the performance of likelihood and MCMC-based estimates with the proposed prior in drawing inference over repeated sampling. Our simulation shows that estimates from the proposed methods perform better than those from the conventional ML and Bayesian method.

• Structural Engineering and Mechanics
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• v.69 no.5
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• pp.579-589
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• 2019

Numerous experimental studies have been conducted on reinforced concrete (RC) beams strengthened in shear with externally bonded fiber reinforced polymer (EBFRP). The objectives of this work are to study the behavioral trends of shear strengthened EBFRP RC beams after updating the existing database. The previously published databases have been updated, enriched and cross checked for completeness, redundancy and consistency. The updated database now contains data on 698 EBFRP beams and covers the time span from 1992 to 2018. The collected database then refined applying certain filters and used to investigate and capture better interactions among various influencing parameters affecting the shear strength of EBFRP beams. These parameters include the type and properties of FRP, fiber orientation as well as the strengthening scheme, the shear and the longitudinal steel reinforcement ratios, the shear span ratio, and the geometry of the member. The refined database is used to test the prediction accuracy of the existing design models. Considerable scatters are found in the results of all tested prediction models and in many occasions the predictions are unsafe. To better understand the shear behavior of the EBFRP RC beams and then enhance the prediction models, it was concluded that focused experimental programs should be carried out.

• Proceedings of the IEEK Conference
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• 2003.07d
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• pp.1303-1306
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• 2003

In this paper, In this paper, we modeled a virtual life(VL) that react to the user's action according to its own behavioral characteristics and grows itself. We established some conditions with which such a VL is designed. Genetic Algorithm is used for the growth process that changes the VL's properties. In this process, the parameter values of the VL's properties are encoded as one chromosome, and the GA operations change this chromosome. The VL's reaction to the user's action is determined by these properties as well as the general expectation of each reaction. These properties are evaluated through 5 fitness measures so as to deal with multi-objective criteria. Here, we present the simulation of the growth process, and show some experimental results.

• Journal of Korean Academy of Nursing
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• v.32 no.6
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• pp.823-831
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• 2002

This study is attempts to clarify the effect of infant massage for the promotion of primipara's mother-infant interaction Method: The term for collecting data for experimental group ranged from April 25, 2001 to June 5, 2001. The infants for this group were sampled among normal mother-infant from one postpartum care center located in J city. The term for collecting data for control group ranged from June 10, 2001 to August 3, 2001. The infants for this group were sampled among normal mothers infant from 1 general hospital, 1 university hospital and 1 postpartum care center located in J city. The experiment was implemented giving primipara education about massage based on protocol for infant massage provided by Johnson & Johnson Korea and they received 10 days of education, 10 minutes a day (from 10 to 11 a.m) In the post test, we videotaped both the control group and the experimental group visiting their homes 4 weeks after delivery to observe mother-infant play interaction. Data analysis was done using SAS and the homogeneity between general properties owned by both control group and experimental group and mother's perception scale for children was verified through -test. Mother-infant play interaction with both control group and experimental group was analyzed through t-test in the experiment. And analysis of mother-infant interaction points based on general properties was made using ANOVA and t-test. Result: Hypothesis that mother-infant play interaction with primipara who gave her infant a massage will be more active than that of the primipara who didn't was verified (t= -4.27, p=.0001). And the points in each item, points in each item were estimated as follows. Mother behavioral items (t=-4.96, p=.0001), infant behavioral item (t=-0.36, p=.71), mother-infant interaction reciprocity (t=-2.64, p=.01). Conclusion: An infant massage program can contribute to promoting the Mother-Infant Play Interaction positively.

• Journal of Ginseng Research
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• v.44 no.4
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• pp.603-610
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• 2020

Background: Depression is a common neuropsychiatric disease that shows astrocyte pathology. Ginsenoside Rf (G-Rf) is a saponin found in Panax ginseng which has been used to treat neuropsychiatric diseases. We aimed to investigate antidepressant properties of G-Rf when introduced into the L-alphaaminoadipic acid (L-AAA)-infused mice model which is representative of a major depressive disorder that features diminished astrocytes in the brain. Methods: L-AAA was infused into the prefrontal cortex (PFC) of mice to induce decrease of astrocytes. Mice were orally administered G-Rf (20 mg/kg) as well as vehicle only or imipramine (20 mg/kg) as controls. Depression-like behavior of mice was evaluated using forced swimming test (FST) and tail suspension test (TST). We observed recovery of astroglial impairment and increased proliferative cells in the PFC and its accompanied change in the hippocampus by Western blot and immunohistochemistry to assess the effect of G-Rf. Results: After injection of L-AAA into the PFC, mice showed increased immobility time in FST and TST and loss of astrocytes without significant neuronal change in the PFC. G-Rf-treated mice displayed significantly more decreased immobility time in FST and TST than did vehicle-treated mice, and their immobility time almost recovered to those of the sham mice and imipramine-treated mice. G-Rf upregulated glial fibrillary acidic protein (GFAP) expression and Ki-67 expression in the PFC reduced by L-AAA and also alleviated astroglial change in the hippocampus. Conclusion: G-Rf markedly reversed depression-like behavioral changes and exhibited protective effect against the astrocyte ablation in the PFC induced by L-AAA. These protective properties suggest that G-Rf might be a therapeutic agent for major depressive disorders.

• Proceedings of the Safety Management and Science Conference
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• 2011.04a
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• pp.329-338
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• 2011

Business processes are often of long duration, and include internal worker's decision making, which makes business processes to be exposed to many exceptional situations. These properties of business processes makes it difficult to design processes to support uncertainties from internal or external environments. The behavioral properties of business processes mainly depends on the data aspects of business processes. To formalize the data aspect of process modeling, this paper proposes a graph-based model, called Data Dependency Graph (DDG), constructed from dependency relationships specified between business data. The paper also defines a mechanism of describing a set of mapping rules that generates a process model semantically equivalent to a DDG, which is accomplished by allocating data dependencies to component activities.

• Journal of the Korea Safety Management & Science
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• v.13 no.2
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• pp.231-241
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• 2011

Business processes are often of long duration, and include internal worker's decision making, which makes business processes to be exposed to many exceptional situations. These properties of business processes makes it difficult to guarantee successful termination of business processes at the design phase. The behavioral properties of business processes mainly depends on the data aspects of business processes. To formalize the data aspect of process modeling, this paper proposes a graph-based model, called Data Dependency Graph (DDG), constructed from dependency relationships specified between business data. The paper also defines a mechanism of describing a set of mapping rules that generates a process model semantically equivalent to a DDG, which is accomplished by allocating data dependencies to component activities.

• Science of Emotion and Sensibility
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• v.19 no.1
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• pp.111-126
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• 2016

As the marketing value of Facebook advertisements increases, companies seek to create successful Facebook advertisements in order to promote their brands or products. This research aims to identify Facebook advertising factors that influence users' eye movements and attention, and thereby to investigate effective visual elements of Facebook advertising contents. Firstly, we identified two contributing factors influencing users' responses to Facebook advertisements: the formats of advertising contents(Text, Text in Image, and Movie) and the product properties(Involvement, Think/Feel). Based on theoretical reviews, eye tracking tests and surveys were conducted in order to examine how these two factors affect users' responses on Facebook, i.e. visual perception and users' purchasing responses. It was found that there were distinctive patterns of users' visual perceptions and purchasing behavioral responses according to the formats of the advertised contents. Meanwhile, the advertised products' properties influenced only the users' purchasing responses. Finally, the key findings of this research offer helpful guidelines for providers and developers to create effective SNS advertisements.