• Korean Journal of Adult Nursing
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• v.27 no.1
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• pp.106-116
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• 2015

Purpose: The purpose of this review was to assess the quality and to evaluate the effectiveness of music interventions in reducing agitation in older adults with dementia. Methods: Randomized controlled studies and randomized crossover studies were identified by searching MEDLINE, EMBASE, CINAHL, PsycINFO, AGELINE, Cochrane Central Register of Controlled Trials, Korea Med, Kmbase, RISS, National Assembly Digital Library, KISS, and RICH. Two reviewers independently retrieved articles, extracted data, and assessed the quality of studies. Results: In total, 10 studies were selected from 1095 unique citations. All included studies were conducted in long term care settings. Overall, risk of bias for included studies was low to moderate. The weighted average effect size across studies was -0.39 (95%CI [-0.69, -0.10], p=.009, $I^2=63%$). Music therapy was effective to reduce agitation of the older adults with dementia. Conclusion: Music intervention can be an effective non-pharmacological intervention for the reduction of agitation in dementia. Future studies need to use rigorous research method and to provide description of research methods in greater detail. In addition, future studies are required to explore the effects of music therapy according to severity of agitation and dementia.

• Journal of Korean Academy of Nursing
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• v.44 no.4
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• pp.446-457
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• 2014

Purpose: This study was done to evaluate the effects of psychosocial interventions on cortisol and immune response in adult patients with cancer. Methods: MEDLINE via PubMed, Cochrane Library CENTRAL, EMBASE, CINAHL and domestic electronic databases were searched. Twenty controlled trials (11 randomized and 9 non-randomized trials) met the inclusion criteria with a total of 862 participants. Methodological quality was assessed using the Cochrane's Risk of Bias for randomized studies and the Risk of Bias Assessment tool for non randomized studies. Data were analyzed using the RevMan 5.2.11 program of Cochrane library. Results: Overall, study quality was moderate to high. The weighted average effect size across studies was -0.32 (95% CI [-0.56, -0.07], p=.010, $I^2 $=45%) for cortisol concentration, -0.62 (95%CI [-0.96,-0.29], p<.001, $I^2 $=0%) for T lymphocyte (CD3) and -0.45 (95%CI [-0.74, -0.16], p=.003, $I^2 $=0%) for Th lymphocyte (CD4) numbers. Psychosocial interventions were not effective for Tc lymphocyte (CD4), NK cell, monocyte, and cytokine response. Conclusion: Although these results provide only small evidence of successful immune modulation, they support the conclusion that psychosocial interventions can assist cancer patients in reducing emotional distress and improving immune response.

• Journal of Korean Academy of Nursing
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• v.43 no.5
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• pp.658-668
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• 2013

Purpose: The purpose of this study was to investigate the effects of psychosocial interventions on pain in cancer patients. Methods: Eight studies published between 1980 and 2012 in Korean and ten studies published between 2002 and 2012 in English met the inclusion criteria with a total of 1539 participants. Methodological quality assessed by Cochrane's Risk of Bias for randomized studies and Risk of Bias Assessment tool for non randomized studies. The data were analyzed by the RevMan 5.2 program of Cochrane library. Results: Overall, study quality was moderate to high. Effect sizes were heterogeneous and subgroup analysis was done. Cognitive behavioral therapy (CBT) were effective for pain (ES= -0.35; 95% CI= -0.56, -0.13). Pain education studies measured with NRS and VAS were effective for pain (ES= -0.77; 95% CI= -1.01, -0.52). Publication bias was not detected. Conclusion: This study support the use of psychosocial interventions administered to cancer patients for their pain management. However, more well-designed studies are needed.

• The Journal of Internal Korean Medicine
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• v.41 no.4
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• pp.644-657
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• 2020

Objectives: The aim of this study was to systematically evaluate the clinical therapeutic effects and safety of the Zeo lyung tang (ZLT) on primary glomerulonephritis (PGN). Methods: The MEDLINE, EMBASE, PubMed, CENTRAL, CNKI, RISS, NDSL, KISS, and OASIS databases were searched for randomized controlled trials (RCTs) testing the effects of ZLT on PGN. The Cochrane collaboration bias risk assessment scale was used to evaluate the methodological quality of the included studies. RevMan 5.3 software was used for data analysis. Results: Ten RCTs involving 781 patients were included in the review. Compared with conventional Western medicine (WM) therapy alone, a combination treatment of ZLT and WM improved the total effective rate (RR=1.24; 95%CI [1.16, 1.33]; p<0.00001), reduce the blood urea nitrogen (BUN; MD=-1.05; 95%CI [-1.32, -0.78]; p<0.00001) and the 24-hour urinary protein (MD=-0.38; 95%CI [-0.46, -0.29]; p<0.00001). Conclusions: The combination of ZLT with WM has therapeutic effects on PGN, and it has advantages over WM treatment alone in reducing BUN and 24-hour urinary protein. However, due to the low quality of the included studies and the small sample sizes, additional research is needed in this area.

• Journal of the Korea Computer Industry Society
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• v.5 no.9
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• pp.1055-1062
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• 2004

Unified Modeling Language (UML) is a standard language for specifying, visualizing, constructing, and documenting the artifacts of software systems. On the other hand, XML, which is a meta-language, provides meta-data types for representing and string objects. It make software development easy because it can represent various information and share information about the software analysis and design between developers, In this paper, we apply BitWiz, one of automated software generation systems, to a bid application and analyse this in UML point of view. Also, we briefly introduce an XML documentation from UML products and a verification method of XML documents from UML products.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.17 no.2
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• pp.488-494
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• 2013

For the activeness and autonomy of a sensor network, the efficient migration method of a mobile agent and the consistent naming services are the required components of a sensor network. Accordingly, this paper presented the implementation of backward migration of an active rule mobile agent applying the naming method based on RMI that used the meta_table including the informations about the components of a sensor network. This study implemented based on the extension of the forward migration[12], and the results of the various experiments present the efficacy of mobile agent middleware system and the possibility of constructing efficient sensor network application environment. And, the results of this study are able to enhance the adaptability on dynamic changes of environment in sensor network application development.

• Asian Oncology Nursing
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• v.12 no.4
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• pp.257-266
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• 2012

Purpose: The purpose of this study was to evaluate the effectiveness of patient education interventions on distress, self-care knowledge and self-care behavior in cancer patients. Methods: A total of 1,102 studies were retrieved from 6 electronic databases in Korea. From these studies, 18 studies met the inclusion criteria with a total of 850 participants. Two authors independently assessed the methodological quality by Cochrane's Risk of Bias and Methodological Items for Non Randomized Studies. The data were analyzed by the RevMan 5.1 program of Cochrane library. Results: Overall effect size of education interventions on anxiety was -2.12 (95% CI:-3.90, -0.34) (p<.001). The effects on self-care knowledge and self care behavior were -1.08 (95% CI:-1.73, -0.43) (p=.001), and -1.41 (95% CI:-2.13, -0.68) (p<.001), respectively. Publication bias was detected as evaluated by funnel plot, but the fail-safe number was moderate. Conclusion: This study suggests that patient education interventions can relieve anxiety and self-care. Further randomized controlled trials studies are needed to evaluate the effects of patient education intervention on depression.

• Proceedings of the KSR Conference
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• 2004.06a
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• pp.589-594
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• 2004

In design of suspension system for KHST, it was applied the approximated optimization method using meta-models which called Response Surface Model and Neural Network Model for 29 design variables and 46 performance index. These models was coded using correlation between design variables and performance indices that is made by the 66 times iterative execution through the design of experimental table consisted orthogonal array L32 and D-Optimal design table. The results show that the optimization process is very efficient and simply applicable for complex mechanical system such as railway vehicle system. Also it was compared with the sensitivity of some design variables in order to know the characteristics of two models. This paper describes the general method for dynamic analysis and design process of railway vehicle system applied to KHST development, and proposed the efficient methods for vibration mode analysis process dealing with test data and the function based approximation method using meta-model applicable for a complex mechanical system. This method will be able to apply to the other railway vehicle system in oder to systematize and generalize the design process of railway vehicle dynamic system.

• STI Policy Review
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• v.6 no.1
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• pp.24-35
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• 2015

This research constructs a data set regarding competition policy through a comprehensive review of previous studies, and performs a meta-analysis to quantitatively assess the price effects of deregulation. A structural econometric model is used to eliminate possible biases from heterogeneity of the studies,such as in publication types and measurement methods. Four types of regulations that deter competition are characterized and three groups of industries are made for drawing practical implications. We fnd that deregulation to promote competition reduces prices by 0.23% and that these estimated price effects are more stable when we control for the publication types and measurement ways. Easing regulations that restrict consumers' choice is shown to be most effcient in promoting competition, lowering prices by 0.7%. This is followed by eliminating the limitation in the number of frms in the industry, with 0.2% price reduction. Overall, the network and service industries are shown to be more responsive to deregulation than the R&D industry. These results could shed light on policy implementation when a pro-competition policy is called for due to restrictive regulations in the corresponding industries.

• The Journal of Bigdata
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• v.4 no.1
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• pp.99-118
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• 2019

This study used network analysis and clustering techniques to analyze studies on social media participation. As a result of the main path analysis, 37 major studies were extracted and divided into two networks: community-related networks and new media-related. Network analysis and clustering result in four clusters. This study has the academic significance of using academic data to grasp research trends at a macro level and using network analysis and machine learning as a methodology.