• 대한한방부인과학회지
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• 제36권3호
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• pp.154-172
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• 2023

Objectives: This study aimed to assess the clinical evidence supporting the use of acupuncture (AC) for premenstrual syndrome (PMS). Methods: We searched randomized controlled trials (RCTs) that used AC for PMS in 9 databases (PubMed, EMBASE, Cochrane Library, CINAHL, CNKI, CiNii, SCIENCE ON, KoreaMed, OASIS) from their inception to July 2022. Results: We identified 1,168 studies, of which 15 RCTs met the inclusion criteria. The risk of bias in the included studies was relatively unclear or high. Meta-analysis of 3 RCTs showed that the AC group had a significantly higher effective rate than the Medroxyprogesterone group (RR 1.48, 95% CI (1.23, 1.78), p<0.0001). Meta-analysis of 2 RCTs showed that there was no statistically significant difference between the AC group and the Sham AC group in the effective rate (RR 4.72, 95% CI (0.88, 25.36), p=0.07). In a review of individual studies, the AC group was more effective than the control group in terms of the effective rate, symptom scale, quality of life, adverse events, and recurrence rate. Conclusions: The AC group was more effective than general treatments groups such as sham AC, western medicine, and dietary supplements, and there were no serious adverse events. However, the evidence on the effectiveness and safety of acupuncture for PMS was inconclusive due to the small number of included studies and low quality. Therefore, systematic reviews based on more rigorously designed randomized clinical trials are needed in the future to properly evaluate the effect of AC on PMS.

• 스마트미디어저널
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• 제12권1호
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• pp.24-31
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• 2023

메타 학습(meta learning)이란 즉각적으로 아는 것과 모르는 것을 구별하는 메타 인지로 적은 양의 데이터로 스스로 학습하고, 학습한 정보와 알고리즘으로 새로운 문제에 적응하며 해결하는 학습 방식이다. 그 중, few-shot 학습 방법은 메타 학습 방법의 한 종류로 매우 적은 학습 데이터 (support set)으로도 질의 데이터(query set)를 올바르게 예측하도록 하는 학습 방법이다. 본 연구에서는 각 클래스의 mean-point vector로 생성한 프로토타입의 한계점인 높은 밀도값을 낮추면서 이상치(outlier)값을 극복하는 방법을 제안한다. 제안한 방법은 기존의 방법을 해결하기 위해, 딥러닝 모델에서 feature를 추출하고, 획득한 feature사이의 요소별로 중앙값 계산하여 프로토타입을 생성하는 방법을 사용한다. 그 후, 앞서 생성한 중앙값 프로토타입을 기반으로 few-shot 학습 방법에 사용한다. 제안한 방법의 정량적인 평가를 위해 필체 인식 데이터셋을 사용하여 기존의 방법과 비교하였다. 실험 결과를 통해 기존의 방법보다 향상된 성능을 내는 것을 확인할 수 있었다.

• Genomics & Informatics
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• 제20권2호
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• pp.16.1-16.12
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• 2022

Various methodologies for the genetic analysis of longitudinal data have been proposed and applied to data from large-scale genome-wide association studies (GWAS) to identify single nucleotide polymorphisms (SNPs) associated with traits of interest and to detect SNP-time interactions. We recently proposed a grid-based Bayesian mixed model for longitudinal genetic data and showed that our Bayesian method increased the statistical power compared to the corresponding univariate method and well detected SNP-time interactions. In this paper, we further analyze longitudinal obesity-related traits such as body mass index, hip circumference, waist circumference, and waist-hip ratio from Korea Association Resource data to evaluate the proposed Bayesian method. We first conducted GWAS analyses of cross-sectional traits and combined the results of GWAS analyses through a meta-analysis based on a trajectory model and a random-effects model. We then applied our Bayesian method to a subset of SNPs selected by meta-analysis to further discover SNPs associated with traits of interest and SNP-time interactions. The proposed Bayesian method identified several novel SNPs associated with longitudinal obesity-related traits, and almost 25% of the identified SNPs had significant p-values for SNP-time interactions.

• Asian Pacific Journal of Cancer Prevention
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• 제13권8호
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• pp.3637-3643
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• 2012

Objective: Non-homologous end joining (NHEJ) is a pathway for repairing DNA double-strand breaks. Recent publications indicated that XRCC5, XRCC6 and XRCC7 genes may participate in the pathogenesis of breast cancer. The aim of this Human Genome Epidemiology (HuGE) review and meta-analysis was to investigate associations between XRCC5, XRCC6 and XRCC7 genetic polymorphisms in the NHEJ pathway and breast cancer risk. Methods: Studies focusing on the relationship between genetic polymorphisms in XRCC5, XRCC6 and XRCC7 genes and susceptibility to breast cancer were selected from the Pubmed, Cochrane library, Embase, Web of Science, Springerlink, CNKI and CBM databases. Data were extracted by two independent reviewers. The meta-analysis was performed with Review Manager Version 5.1.6 and STATA Version 12.0 software. The odds ratio (OR) with 95% confidence interval (95%CI) was calculated based on the extracted data. Results: According to the inclusion criteria, we final included seven studies with a total of 2,864 breast cancer cases and 3,060 healthy controls. Meta-analysis results showed that rs3835 (G>A) and rs828907 (G>T) in XRCC5 gene, and rs132793 (G>A) in XRCC6 gene might increase the risk of breast cancer, while rs132788 G>T and rs6002421 (A>G) might be protective factors. However, there was no relationship between XRCC7 genetic polymorphisms and the risk of breast cancer. Conclusion: This meta-analysis suggests that the rs3835 G>A and rs828907 G>T in XRCC5 gene, rs6002421 (A>G), rs132788 (G>T) and rs132793 (G>A) in XRCC6 gene might be risk factors for breast cancer, while the rs132788 (G>T) and rs6002421 (A>G) in XRCC6 gene might be protective.

• 한국산학기술학회논문지
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• 제17권10호
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• pp.158-167
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• 2016

본 연구의 목적은 사회복지관련 메타분석 연구를 대상으로 Assessment of Multiple Systematic Reviews (AMSTAR) 도구를 이용하여 질 평가를 하기 위한 서술적 조사연구이다. '메타분석', '사회복지', '사회사업'을 키워드로하여 2000년부터 2015년에 KISS, DBpia, RISS4U 데이터베이스를 이용하여 출판된 연구 중 42개의 메타분석 연구에 대해 질 평가를 실시하였다. 수집된 자료는 기술통계, 독립집단 t-test, 일원분산분석으로 분석되었다. 평균 AMSTAR 질 평가점수는 $4.76{\pm}1.66$점이었고, 낮은 수준이 19개(45.2%), 중간 수준이 22개(52.4%), 높은 수준이 1개(2.4%)이었다. 질 평가점수는 연구의 특성인 출판년도, 대상자, 분석논문의수, DB의 수, 저널유형, 재정지원 유무, 연구의 질 평가유무, 분석대상논문을 추출흐름도 유무, 주제에 따라 차이가 분석되었다. 질 평가점수는 출판년도, DB의 수, 연구의 질 평가유무, 분석대상논문을 추출흐름도 유무에 따라 통계적으로 유의한 차이가 있었고, 4개 요인이 메타분석 연구의 질에 영향을 미치는 요인으로 51.9%의 설명력이 있었다. 본 연구는 메타분석 연구의 질을 향상시키기 위해 필요한 가이드라인을 제시하는데 기여하고 있다. 본 연구는 사회복지 분야 메타분석 연구의 질 향상과 분석 결과의 신뢰성 확보를 위하여 첫째, 메타분석 보고를 위한 공통적이고 구체적인 가이드라인을 마련하고 공유하는 것, 둘째, 근거기반의 실천적 개입을 위해서는 질 평가를 통해 근거강도가 높은 논문의 결과를 메타분석으로 합성하는 것, 셋째, 분석대상 논문의 연구특성을 제시하는 것, 마지막으로 문헌선택과 자료추출 과정에서 두 명이상의 연구자에 의한 독립적 실시와 최종 문헌추출을 위한 합의과정과 이해상충여부가 보고되어야 함을 제안하고 있다.

• 한국의류산업학회지
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• 제25권5호
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• pp.549-559
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• 2023

Along with the transition to the fourth industrial revolution, the possibility of metaverse-based innovation in the fashion field has been confirmed, and various applications are being sought. Therefore, this study performs meaning structure analysis and discusses the prospects of meta fashion using big data. From 2020 to 2022, data including the keyword "metaverse + fashion design" were collected from portal sites (Naver, Daum, and Google), and the results of keyword frequency, N-gram, and TF-IDF analyses were derived using text mining. Furthermore, network visualization and CONCOR analysis were performed using Ucinet 6 to understand the interconnected structure between keywords and their essential meanings. The results were as follows: The main keywords appeared in the following order: fashion, metaverse, design, 3D, platform, apparel, and virtual. In the N-gram analysis, the density between fashion and metaverse words was high, and in the TF-IDF analysis results, the importance of content- and technology-related words such as 3D, apparel, platform, NFT, education, AI, avatar, MCM, and meta-fashion was confirmed. Through network visualization and CONCOR analysis using Ucinet 6, three cluster results were derived from the top emerging words: "metaverse fashion design and industry," "metaverse fashion design and education," and "metaverse fashion design platform." CONCOR analysis was also used to derive differentiated analysis results for middle and lower words. The results of this study provide useful information to strengthen competitiveness in the field of metaverse fashion design.

• 대한간호학회지
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• 제29권5호
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• pp.1087-1102
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• 1999

Diabetes mellitus, a universal and prevalent chronic disease, is projected to be one of the most formidable worldwide health problems in the 21st century. For those living with diabetes, there is a need for self-care skills to manage a complex medical regimen. Self-efficacy which refers to one's belief in his/her capability to monitor and perform the daily activities required to manage diabetes has be found to be related to self-care. The concept of self-efficacy comes from social cognitive theory which maintains that cognitive mechanism mediate the performance of behavior. The literature cites several research studies which show a strong relationship between self-efficacy and self-care behavior. Meta-analysis is a technique that enables systematic review and quantitative integration of the results from multiple primary studies that are relevant to a particular research question. Therefore, this study was done using meta-analysis to quantitatively integrate the results of independent research studies to obtain numerical estimates of the overall effect of a self-efficacy with diabetic patient on self-care behaviors. The research proceeded in three stages : 1) literature search and retrieval of studies in which self-efficacy was related to self-care, 2) coding, and 3) calculation of mean effect size and data analysis. Seventeen studies which met the research criteria included study population of adults with diabetes, measures of self-care and measures of self-efficacy as a predictive variable. Computation of effect size was done on DSTAT which is a statistical computer program specifically designed for meta-analysis. To determine the effect of self-efficacy on self-care practice homogeneity tests were conducted. Pooled effect size estimates, to determine the best subvariable for composite variables, metabolic control variables and component of self-efficacy and self-care, indicated that the effect of self-efficacy composite on self-care composite was moderate to large. The weighted mean effect size of self-efficacy composite and self-care composite were ＋.76 and the confidence interval was from ＋.66 to ＋.86 with the number of subjects being 1,545. The total for this meta-analysis result showed that the weighted mean effect sizes ranged from ＋.70 to ＋1.81 which indicates a large effect. But since reliabilities of the instruments in the primary studies were low or not stated, caution must be applied in unconditionally accepting the results from these effect sizes. Meta-analysis is a useful took for clarifying the status of knowledge development and guiding decision making about future research and this study confirmed that there is a relationship between self-efficacy and self-care in patients with diabetes. It, thus, provides support for nurses to promote self-efficacy in their patients. While most of the studies included in this meta-analysis used social cognitive theory as a framework for the study, some studies use Fishbein & Ajzen's attitude model as a model for active self-care. Future research is needed to more fully define the concept of self-care and to determine what it is that makes patients feel competent in their self-care activities. The results of this study showed that self-efficacy can promote self-care. Future research is needed with experimental design to determine nursing interventions that will increase self-efficacy.

• Asian Pacific Journal of Cancer Prevention
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• 제13권9호
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• pp.4379-4385
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• 2012

Purpose: To investigate the efficacy and safety of intraperitoneal chemotherapy (IPC) for patients with gastric cancer and to compare effects between different regimens of IPC. Method: Randomized controlled trials comparing the effects of surgery plus intraperitoneal chemotherapy with surgery alone or comparing the efficacy between different regimens of intraperitoneal chemotherapy were searched for in Medline, Embase, Pubmed, the Cochrane Library and the Chinese BioMedical Disc and so on by two independent reviewers. After quality assessment and data extraction, data were pooled for meta-analysis using RevMan5.16 software. Tests of interaction were used to test for differences of effects among subgroups grouped according to different IPC regimens. Results: Fifteen RCTs with a total of 1713 patients with gastric cancer were included for quality assessment and data extraction. Ten studies were judged to be of fair quality and entered into meta-analysis. Hyperthermic intraoperative intraperitoneal chemotherapy (HR=0.60, P<0.01), hyperthermic intraoperative intraperitoneal chemotherapy plus postoperative intraperitoneal chemotherapy (HR=0.47, P<0.01) and normothermic intraoperative intraperitoneal chemotherapy (HR=0.70, P=0.01) were associated with a significant improvement in overall survival. Tests of interaction showed that hyperthermia and additional postoperative intraperitoneal chemotherapy did not impact on its effect. Further analysis revealed that intraperitoneal chemotherapy remarkably decrease the rate of postoperative hepatic metastasis by 73% (OR=0.27, 95% CI=0.12 to 0.67, P<0.01). However, intraperitoneal chemotherapy increased risks of marrow depression (OR=5.74, P<0.01), fever (OR=3.67, P=0.02) and intra-abdominal abscess (OR=3.57, P<0.01). Conclusion: The present meta-analysis demonstrates that hyperthermic intraoperative intraperitoneal chemotherapy and normothermic intraoperative intraperitoneal chemotherapy should be recommended to treat patients with gastric cancer because of improvement in overall survival. However, it is noteworthy that intraperitoneal chemotherapy can increase the risks of marrow depression, intra-abdominal abscesses, and fever.

• Asian Pacific Journal of Cancer Prevention
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• 제14권6호
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• pp.3607-3612
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• 2013

Introduction: Reported prognostic roles of hypoxic inducible factor (HIF) expression in non-small cell lung cancer (NSCLC) have varied. This meta-analysis aimed to examine the relationship between HIF expression and clinical outcome in NSCLC patients. Methods: PubMed were used to identify relevant literature with the last report up to December $20^{th}$, 2012. After careful review, survival data were collected from eligible studies. We completed the meta-analysis using Stata statistical software (Version 11) and combined hazard ratio (HR) for overall survival (OS). Subgroup specificity, heterogeneity and publication bias were also assessed. All of the results were verified by two persons to ensure accuracy. Results: Eight studies were finally stepped into this meta-analysis in which seven had available data for HIF-$1{\alpha}$ and three for HIF-$2{\alpha}$. Combined HRs suggested that higher expression of $HIF1{\alpha}$ had a negative impact on NSCLC patient survival (HR=1.50; 95%CI=1.07-2.10; p=0.019). The expression of HIF-$2{\alpha}$ was also relative to a poorer survival (HR=2.02; 95%CI=1.47-2.77; p=0.000). No bias existed in either of the two groups. Conclusion: This study suggests that elevations of HIF-$1{\alpha}$ and HIF-$2{\alpha}$ expression are both associated with poor outcome for patients with NSCLC. The data support further and high quality investigation of HIF expression for predicting poor outcome in patients with NSCLC.

• 한국산학기술학회논문지
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• 제20권4호
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• pp.214-223
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• 2019

이 연구의 목적은 Work-Life Balance(WLB)와 관련 다수의 실증 연구 결과물을 토대로 메타분석을 실시하여, WLB와 그 관련변인 간의 관계 양상을 살펴보는데 있다. 이러한 목적을 달성하기 위해서 2018년 12월까지 국내에서 발행된 학술지 게재 논문을 연구 분석대상으로 수집하였다. 자료수집은 한국교육학술정보원의 데이터베이스를 활용하였으며, 총 27편의 국내 학술지의 126개 하위그룹의 통계치를 가지고 코딩을 진행하였고, CMA(Comprehensive Meta Analysis) 3.0 프로그램을 활용하여 메타분석을 진행하였다. 본 연구의 결과는 다음과 같다. 첫째, WLB와 관련된 전체 평균효과크기는 0.365로 작은 효과 크기를 보였다. 둘째, WLB가 영향을 미치는 종속변인 구분의 효과크기는 직무몰입, 혁신, 성과, 만족 순으로 나타났다. 셋째, WLB 연구의 종속변인이 개인 초점일 때보다는 조직 초점 변인일 경우 효과크기가 두 배 이상 큰 것으로 나타났다. 넷째, WLB 연구의 종속변인이 희생, 직무스트레스, 이직의도와 같이 부적인 영향을 미친다고 선행연구에서 조사된 종속변인은 -0.254의 효과크기를 보였으며, 직무만족, 정서몰입과 같이 정적인 영향의 종속변인은 0.576의 중간 정도의 효과크기를 가지는 것으로 나타났다. 다섯째, WLB 하위요인 구분 간 효과크기는 일-성장 균형, 일-가정 균형, 일-여가 균형 순으로 나타났다.