• Archives of Plastic Surgery
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• 제50권1호
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• pp.3-9
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• 2023

Background In breast reconstruction, synthetic meshes are frequently used to replace acellular dermal matrix (ADM), since ADM is expensive and often leads to complications. However, there is limited evidence that compares the types of substitutes. This study aimed to compare complications between materials via a network meta-analysis. Methods We systematically reviewed studies reporting any type of complication from 2010 to 2021. The primary outcomes were the proportion of infection, seroma, major complications, or contracture. We classified the intervention into four categories: ADM, absorbable mesh, nonabsorbable mesh, and nothing used. We then performed a network meta-analysis between these categories and estimated the odds ratio with random-effect models. Results Of 603 searched studies through the PubMed, MEDLINE, and Embase databases, following their review by two independent reviewers, 61 studies were included for full-text reading, of which 17 studies were finally included. There was a low risk of bias in the included studies, but only an indirect comparison between absorbable and non-absorbable mesh was possible. Infection was more frequent in ADM but not in the two synthetic mesh groups, namely the absorbable or nonabsorbable types, compared with the nonmesh group. The proportion of seroma in the synthetic mesh group was lower (odds ratio was 0.2 for the absorbable and 0.1 for the nonabsorbable mesh group) than in the ADM group. Proportions of major complications and contractures did not significantly differ between groups. Conclusion Compared with ADM, synthetic meshes have low infection and seroma rates. However, more studies concerning aesthetic outcomes and direct comparisons are needed.

• 한국빅데이터학회지
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• 제4권1호
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• pp.99-118
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• 2019

본 연구는 소셜 미디어 참여 관련 연구 베타분석을 위해 네트워크 분석과 클러스터링 기법을 활용하였다. 주경로 분석 결과 37개의 주요 연구가 추출되었고 커뮤니티 관련 네트워크와 뉴 미디어 관련 네트워크 두 가지로 구분되었다. 연결망 분석과 클러스터링 결과 네가지 클러스터가 형성되었다. 본 연구는 학술 데이터를 활용해 연구 동향을 거시적으로 파악하며 그 방법론으로 네트워크 분석과 기계학습을 활용하였다는 학술적 의의를 가진다.

• 정보처리학회논문지A
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• 제13A권6호
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• pp.533-540
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• 2006

본 논문에서는 분산 환경 상에서 CFD(Computational Fluid Dynamics) 분석 프로그램을 편리하게 수행할 수 있도록 하는 그리드 시스템 META(Metacomputing Environment using Test-un of Application)의 설계 및 구현에 관하여 기술한다. 그리드 시스템 META는 CFD 프로그램 개발자들이 네트워크에 분산된 계산 자원들을 단일 시스템처럼 사용할 수 있도록 한다. 그리드 컴퓨팅과 관련하여 연구주제로는 고장허용, 자원 선택, 사용자 인터페이스 설계 등이 있다. 본 논문에서는 MPI(Message Passing Interface)로 작성된 SPMD(Single Program, Multiple Data) 구조의 병렬프로그램을 실행시키기 위한 자동 자원 선택방법을 활용하였다. 본 논문에서 제안한 자원 관리기법은 네트워크상의 전송지연 시간과 시험수행을 통해 얻어진 핵심루프의 경과시간을 이용한다. 전송지연시간은 병렬 프로그램이 복수의 시스템에 분산되어 수행될 때 수행 성능에 큰 영향을 주는 요인이다. CFD 프로그램들의 공통적인 특성 때문에 핵심루프 경과시간은 전체 수행시간을 예측할 수 있는 지표가 된다. 핵심루프는 CFD 프로그램의 전체 수행시간 중 90% 이상을 차지한다.

• Clinical and Experimental Pediatrics
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• 제64권5호
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• pp.208-222
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• 2021

The publication of genetic epidemiology meta-analyses has increased rapidly, but it has been suggested that many of the statistically significant results are false positive. In addition, most such meta-analyses have been redundant, duplicate, and erroneous, leading to research waste. In addition, since most claimed candidate gene associations were false-positives, correctly interpreting the published results is important. In this review, we emphasize the importance of interpreting the results of genetic epidemiology meta-analyses using Bayesian statistics and gene network analysis, which could be applied in other diseases.

• 대한간호학회지
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• 제46권4호
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• pp.475-489
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• 2016

Purpose: This study was a systematic review and meta-analysis designed to investigate the effects of stimulation-oriented interventions for behavioral problems among people with dementia. Methods: Based on the guidelines of the Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA), a literature search was conducted using seven electronic databases, gray literature, and other sources. Methodological quality was assessed using the Scottish Intercollegiate Guidelines Network (SIGN) for randomized controlled trials (RCTs). Data were analyzed using R with the 'meta' package and the Comprehensive Meta-Analysis (CMA 2.0) program. Results: Sixteen studies were included for meta-analysis to investigate the effect of stimulation-oriented interventions. The quality of individual studies was rated as '++' for eight studies and '+' for the rest. The effect sizes were analyzed according to three subgroups of interventions (light, music, and others); Hedges' g=0.04 (95% CI: -0.38~0.46), -0.23 (95% CI: -0.56~0.10), -0.34 (95% CI: -0.34~0.00), respectively. To explore the possible causes of heterogeneity ($I^2=62.8%$), meta-regression was conducted with covariates of sample size, number of sessions, and length of session (time). No moderating effects were found for sample size or number of sessions, but session time showed a significant effect (Z=1.96, 95% CI: 0.00~0.01). Finally, a funnel plot along with Egger's regression test was performed to check for publication bias, but no significant bias was detected. Conclusion: Based on these findings, stimulation-oriented interventions seem to have a small effect for behavioral problems among people with dementia. Further research is needed to identify optimum time of the interventions for behavioral problems among dementia pateints.

• 한국정보통신학회논문지
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• 제20권2호
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• pp.408-414
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• 2016

본 연구는 소셜 네트워크 서비스 환경에서 구매의도에 관한 문헌적 고찰을 통해 선행연구를 살펴보고 개념 모델에서 제시된 요인에 대한 실증 분석된 연구들을 메타분석하기 위해 2005년-2015년 국내 학술지에 게재된 논문을 연구대상으로 하였다. 국내 학술지에 게재된 논문만 여과하여 조건에 부합한 총 29편의 논문을 연구에 대상으로 선정하였다. 메타분석의 결과 만족과 구매의도 경로가 가장 큰 효과 크기로 나타났으며, 효과크기는(r = .455)이었다. 두번째 효과크기는 구전과 구매의도 경로에서 효과(r = .398), 다음으로 신뢰와 구매의도 경로에서(r = .386)로 나타났다. 그런데 상호 작용성과 구매의도 경로에서는 가장 낮은 효과크기(r = .342)로 나타났다. 따라서 본 연구 개념 모델에서 제시된 예측변수는 약 22%-12% 설명력을 가지는 것으로 나타났다. 따라서 이러한 연구결과를 바탕으로 학문적 실무적 의의를 논의하였다.

• Biotechnology and Bioprocess Engineering:BBE
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• 제10권5호
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• pp.425-431
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• 2005

The systems-level analysis of microbes with myriad of heterologous data generated by omics technologies has been applied to improve our understanding of cellular function and physiology and consequently to enhance production of various bioproducts. At the heart of this revolution resides in silico genome-scale metabolic model, In order to fully exploit the power of genome-scale model, a systematic approach employing user-friendly software is required. Metabolic flux analysis of genome-scale metabolic network is becoming widely employed to quantify the flux distribution and validate model-driven hypotheses. Here we describe the development of an upgraded MetaFluxNet which allows (1) construction of metabolic models connected to metabolic databases, (2) calculation of fluxes by metabolic flux analysis, (3) comparative flux analysis with flux-profile visualization, (4) the use of metabolic flux analysis markup language to enable models to be exchanged efficiently, and (5) the exporting of data from constraints-based flux analysis into various formats. MetaFluxNet also allows cellular physiology to be predicted and strategies for strain improvement to be developed from genome-based information on flux distributions. This integrated software environment promises to enhance our understanding on metabolic network at a whole organism level and to establish novel strategies for improving the properties of organisms for various biotechnological applications.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제18권8호
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• pp.2067-2081
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• 2024

Recently, image analysis research has been actively conducted due to the accumulation of big image data and the development of deep learning. Image analytics research has different characteristics from other data such as data size, real-time, image quality diversity, structural complexity, and security issues. In addition, a large amount of data is required to effectively analyze images with deep-learning models. However, in many fields, the data that can be collected is limited, so there is a need for meta learning based image analysis technology that can effectively train models with a small amount of data. This paper presents a comprehensive survey of meta-learning-based object-tracking techniques. This approach comprehensively explores object tracking methods and research that can achieve high performance in data-limited situations, including key challenges and future directions. It provides useful information for researchers in the field and can provide insights into future research directions.

• 한국통신학회논문지
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• 제19권10호
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• pp.1945-1956
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• 1994

본 논문에서는 기존의 통신망을 통합하여 고속 멀티미디어 통신이 가능하도록 하는 다중 액세스망 프로토콜을 제시하였다. 향후 구축될 광대역 종합통신망과의 접속을 위해서는 새로운 구조 및 형식에 대한 정의가 필요하며, 이를 위해 기존의 고속링 프로토콜인 ATMR 및 MetaRing에 대해 알아보고, 그 기본 구성의 문제점을 분석하여 새로운 액세스 매커니즘을 제안하였다. ATMR은 윈도우 크기를 재설정하기 위한 리셋시간이 요구되므로 채널효율이 떨어지며, MetaRing의 경우에는 채널의 효율은 증가되지만 파라미터가 고정되어 있어 트래픽의 변화에 따라 성능이 크게 좌우된다. 이에 반해 제안된 프로토콜은 트래픽의 변화에 따라 파라미터를 능동적으로 변화시킴으로서 최적의 상태로 트래픽 제어가 가능하게 되며, 우선순위 기법을 적용하여 동기 및 비동기 트래픽의 통합 제어가 가능하도록 하였다. 본 메카니즘은 기존망의 통합 및 ATM 망을 구성하는 괴도단계의 시범방 구성에 응용될 수 있을 것으로 기대된다.

• 한국기계가공학회지
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• 제20권5호
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• pp.85-95
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• 2021

Structure design sensitivity was evaluated using the orthogonal array experimental method for passive-type deck support frame (DSF) developed for float-over installation of the offshore plant. Moreover, approximation characteristics were also reviewed based on various meta-models. The minimum weight design of the DSF is significantly important for securing both maneuvering performance and buoyancy of a ship equipped with the DSF and guaranteeing structural design safety. The performance strength of the passive type DSF was evaluated through structure analysis based on the finite element method. The thickness of main structure members was applied to design factors, and output responses were considered structure weight and strength performances. Quantitative effects on the output responses for each design factor were evaluated using the orthogonal array experimental method and analysis of variance. The optimum design case was also identified from the orthogonal array experiment results. Various meta-models, such as Chebyshev orthogonal polynomial, Kriging, response surface method, and radial basis function-based neural network, were generated from the orthogonal array experiment results. The results of the orthogonal array experiment were validated using the meta-modeling results. It was found that the radial basis function-based neural network among the meta-models could approximate the design space of the passive type DSF with the highest accuracy.