• Science of Emotion and Sensibility
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• v.24 no.1
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• pp.73-90
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• 2021

Previous studies have demonstrated that childhood memories can impact self-concepts. However, scant research has been conducted to determine whether and how the activation of childhood memories relates to the motivation of prosocial behaviors. Thus, this study investigated whether childhood memories facilitated prosocial behaviors through implicitly activating moral purity and how differently an abstract (vs. a concrete) construal level of autobiographical memories evoke prosocial intentions. According to the results of Study 1, the participants in the experimental condition of childhood memories were more motivated to perform prosocial behaviors than those in the controlled condition of recalling recent mundane activities. In the experimental condition, moral purity was activated more strongly than in the control condition. Study 2 demonstrated that participants in the "concrete" condition of childhood memories tended to the lower levels of prosocial motivation than those in the "abstract" condition wherein they were counting and describing good deeds from their childhood in detail. These results indicate that different construal levels (abstract vs. concrete) can mediate the relationship between childhood memories and prosocial behaviors. This study contributes to extending previous research regarding the determinants of motivating prosocial behaviors in cognitive processes.

• Korean Journal of Cognitive Science
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• v.27 no.1
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• pp.101-127
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• 2016

The present study was conducted to examine the effect of meta-cognitive strategy and transfer appropriate processing(TAP) on prospective memory performance. In two experiments, encoding strategy for PM target words was manipulated by instructions. Participants who were assigned to meta strategic condition were engaged to rate task difficulty(EOL) in addition to predict their own performance(JOL), while participants in cognitive strategy condition were to remember target words by pleasantness ratings and sentence generation. In experiment1 and experiment 2, all participants in both conditions performed not only TAP ongoing task but also TIP ongoing task. Results revealed the benefit of meta cognition and transfer appropriate processing on PM performance. Furthermore, the benefit of TAP was diminished in cognitive strategy condition. There were no-costs on judgement tasks across conditions. The findings suggest that meta-cognition allows to sustain PM targets and intention without regard to cognitive resource.

• The Korean Journal of Rehabilitation Nursing
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• v.14 no.2
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• pp.118-128
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• 2011

Purpose: The purpose of this study was to explore the experiences of bereavement for main family members who had made and followed DNR decision for their family members. Method: This qualitative study was based on a grounded theory, and used in-depth interview techniques with the bereaved 10 main family members who had been treated and died under DNR order. Results: The causal condition of the family member was 'Releasing', and the main consequent phenomenon were 'Blaming self and ruminating'. The contextual condition was 'The memory of the deceased'. The action/reaction strategy was 'Purifying'. The intervening condition was 'Supporting system', and the consequence was 'Acceptance'. The experience after bereavement of the family member on DNR decision were rational processes that purified themselves and healed the guilt feeling about the decision from reflective assessment and response about DNR decision. Based on this results, the substantive theory 'Reflective self healing' was derived. Conclusion: The main family members in following DNR decision are more likely to have unhealthy emotional condition than others in normal bereavement process. But they overcame the grief of bereavement through reflective self healing process.

• Proceedings of the Korean Vacuum Society Conference
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• 2011.08a
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• pp.120-120
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• 2011

Graphene is a carbon based material and it has great potential of being utilized in various fields such as electronics, optics, and mechanics. In order to develop graphene-based logic systems, graphene field-effect transistor (GFET) has been extensively explored. GFET requires supporting devices, such as volatile memory, to function in an embedded logic system. As far as we understand, graphene has not been studied for volatile memory application, although several graphene non-volatile memories (GNVMs) have been reported. However, we think that these GNVM are unable to serve the logic system properly due to the very slow program/read speed. In this study, a GVM based on the GFET structure and using an engineered graphene channel is proposed. By manipulating the deposition condition, charge traps are introduced to graphene channel, which store charges temporarily, so as to enable volatile data storage for GFET. The proposed GVM shows satisfying performance in fast program/erase (P/E) and read speed. Moreover, this GVM has good compatibility with GFET in device fabrication process. This GVM can be designed to be dynamic random access memory (DRAM) in serving the logic systems application. We demonstrated GVM with the structure of FET. By manipulating the graphene synthesis process, we could engineer the charge trap density of graphene layer. In the range that our measurement system can support, we achieved a high performance of GVM in refresh (>10 ${\mu}s$) and retention time (~100 s). Because of high speed, when compared with other graphene based memory devices, GVM proposed in this study can be a strong contender for future electrical system applications.

• The Journal of the Society of Stroke on Korean Medicine
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• v.19 no.1
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• pp.21-30
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• 2018

■ Objectives This case study is to report the two cases of Gami-Guibitang on cognitive impairment after stroke with improved recall memory. ■ Methods We used Korean medicine treatments including Gami-guibitang, acupuncture and moxibustion to treat patients who had cognitive impairment after stroke for at least two months. We observed the changes of symptoms by measuring Korean version of Mini-mental status examination (MMSE-K), Clinical Dementia Rating (CDR) and Global Detration Scale (GDS). ■ Results After treatment, the patient's symptoms were improved including MMSE-K, CDR and GDS. Improvement appeared to be prominent in recall memory. The general condition were also improved after treatment. ■ Conclusion This clinical case study suggests that Korean medicine including Gami-guibitang could be used to treat patients who had cognitive impairment after stroke especially suffering from degraded recall memory.

• The Journal of Korean Institute of Electromagnetic Engineering and Science
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• v.7 no.4
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• pp.328-335
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• 1996

The numerical dispersive characteristics and the numerical stability confition of the Multi-Resolution Time-Domain(MRTD) method are calculated. A dispersion analysis of the MRTD schemes including a comparison to Yee's Finite-Difference Time-Domain(FDTD) method is given. The superiority of the MRTD method to the spatial discretization is shown. The required computational memory can be reduced by using the MRTD method. We expect that the MRTD method will be very useful method for numerical modelling of electromagnetics.

• Proceedings of the Korean Society of Machine Tool Engineers Conference
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• 1996.10a
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• pp.58-63
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• 1996

A study is drawn up its result's tables and graphs by measuring tools(outside micrometer cylinder gauge and dial caliper gauge) on the difference of diameter volumes from before-discharge and after-discharge under 52 Kind's experimental condition by cupper and graphite electrode of CNC EDM. The EDM is attached with A.V.R. and memory scope for keep up accuracy and the fixed table of work piece is used in order to eliminate the noise by the internal resistance of it and forcing to eradicate the discharge liquid. It is analyzed cutting conditions to compare its wave value and pulse time.(Ton Toff) through voltage and current for decreasing working error.

• Journal of the Korean Data and Information Science Society
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• v.18 no.3
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• pp.827-832
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• 2007

Several partial orders on integral partitions have been studied with many applications such as majorizations, capacities of quantum memory and embeddabilities of matrix algebras. In particular, the embeddability, stable embeddability and strong-stable embeddability problems arise for finite dimensional irreducible modules over a complex simple Lie algebra L. We find a sufficient condition for an L-module strong-stably embeds into another L-module using formal character theory.

• Korean Journal of Cognitive Science
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• v.19 no.1
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• pp.57-74
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• 2008

This study aimed to investigate the preferential brain activations involed in the set size during random number generation (RNG). The BNG condition gave more increased activations in the anterior cingulate cortex (ACC), inferior frontal gyrus (IFG), inferior parietal lobule (IPL), and superior temporal gyrus (STG) than the simple counting condition, which was a control rendition. When the activations were compared by the small set size condition versus the large set size condition, broad areas covering tempore-occipital network, ACC, and postcentral gyrus were more highly activated in the small set size condition than in the large set size condition, while responses of areas including medial frontal gyrus, superior parietal lobule, and lingual gyrus were more increased in the large set size condition than in the small set size condition. The capacity hypothesis of working memory fails to explain the results. On the contrary, strategy selection hypothesis seems to explain the current observations properly.

• Journal of Ship and Ocean Technology
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• v.10 no.3
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• pp.1-16
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• 2006

Despite the high cost of memory and CPU time required to resolve the boundary layer, a viscous unstructured grid solver has many advantages over a structured grid solver such as the convenience in automated grid generation and vortex capturing by solution adaption. In present study, an unstructured Cartesian grid solver is developed on the basis of the existing Euler solver, NASCART-GT. Instead of cut-cell approach, immersed boundary approach is applied with ghost cell boundary condition, which can be easily applied to a moving grid solver. The standard $k-{\varepsilon}$ model by Launder and Spalding is employed for the turbulence modeling, and a new wall function approach is devised for the unstructured Cartesian grid solver. Developed approach is validated and the efficiency of the developed boundary condition is tested in 2-D flow field around a flat plate, NACA0012 airfoil, and axisymmetric hemispheroid.