• Asian Pacific Journal of Cancer Prevention
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• v.13 no.8
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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.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.10
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• pp.158-167
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• 2016

This study was conducted to evaluate the quality of meta-analysis of social work in South Korea using the Assessment of Multiple Systematic Review (AMSTAR). Electronic databases including the Korean Studies Information Service System (KISS), DBpia, and RISS4U were searched for 'meta-analysis', 'social work', and 'social welfare' from 2000 to December 2015, and 42 meta-analysis studies were included. Data were analyzed using descriptive statistics, t-tests, and ANOVA. The mean score for AMSTAR evaluation was $4.766{\pm}1.66$, while 19 studies (45.2%) were classified at the low-quality level, and 22 (52.4%) were at the moderate-quality level. The scores of quality assessment were analyzed by publication year, participants, number of studies included, number of DB, reporting study quality, extraction diagram and topics. The findings indicated that the following changes should be implemented to improve the quality and reliability of meta-analysis results in social work research: 1) common reporting guidelines should be provided for the social work field, 2) quality analyses of each study should be conducted to achieve a high level of evidence of effectiveness of social work interventions, 3) the characteristics of the included studies should be provided, and 4) a consensus and procedure based on at least two independent data extractors should be reported.

• Fashion & Textile Research Journal
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• v.25 no.5
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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.

• Journal of Korean Academy of Nursing
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• v.29 no.5
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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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• v.13 no.9
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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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• v.14 no.6
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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.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.4
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• pp.214-223
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• 2019

This study is a meta-analysis based on results of empirical studies related to work-life balance(WLB), and the relationships between WLB and other variables. In order to achieve this objective, articles published in domestic journals prior to December 2018 were collected. Data was collected using an online database provided by the Korea Educational and Scientific Information Service, and a total of 27 studies and 126 sub data were coded. Data was analyzed using CMA (comprehensive meta-analysis) 3.0 program. Results of this study are as follows. First, the overall mean effect size of WLB was 0.365, indicating a small effect size. Second, the effect sizes of dependent variables influenced by WLB included immersion, innovation, and performance in order. Third, the effect size of organizational focus variables was more than twice as big as that of individual focus variables. Fourth, the negative theoretical background dependent variables of WLB, such as sacrifice, job stress, and turnover showed -0.254 effect size, and the positive theoretical background dependent variables, such as job satisfaction and emotional commitment have mid-size effect (0.576). Fifth, the effect size of independent variables were in the order of work-development balance, work-home balance, and work-leisure balance.

• Journal of the Korean Chemical Society
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• v.67 no.1
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• pp.42-53
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• 2023

The purpose of this study is to obtain basic data for constructing a modeling practice program integrated with meta-modeling knowledge by analyzing the cognition level for each meta-modeling knowledge components through modeling practice in the context of the chemistry discipline content. A chemistry teacher conducted inquiry-based modeling practice including anomalous phenomena for 16 students in the second year of a science gifted school, and in order to analyze the cognition level for each of the three meta-modeling knowledge components such as model variability, model multiplicity, and modeling process, the inquiry notes recorded by the students and observation note recorded by the researcher were used for analysis. The recognition level was classified from 0 to 3 levels. As a result of the analysis, it was found that the cognition level of the modeling process was the highest and the cognition level of the multiplicity of the model was the lowest. The cause of the low recognitive level of model variability is closely related to students' perception of conceptual models as objective facts. The cause of the low cognitive level of model multiplicity has to do with the belief that there can only be one correct model for a given phenomenon. Students elaborated conceptual models using symbolic models such as chemical symbols, but lacked recognition of the importance of data interpretation affecting the entire modeling process. It is necessary to introduce preliminary activities that can explicitly guide the nature of the model, and guide the importance of data interpretation through specific examples. Training to consider and verify the acceptability of the proposed model from a different point of view than mine should be done through a modeling practice program.

• Journal of Korean Academy of Nursing
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• v.45 no.2
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• pp.169-182
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• 2015

Purpose: This study was a meta-analysis designed to identify effects of Cognitive Behavioral Therapy (CBT) interventions in alleviating main symptoms of Attention Deficit Hyperactivity Disorder (ADHD) among school-aged children in Korea. Methods: Examination of several databases including Research Information Sharing Service, Korean Studies Information Service System, Data Base Periodical Information Academic and hand-searched article references, resulted in identification of 1,298 studies done between 2000 and 2013 of which 21 met the inclusion criteria. Comprehensive Meta-Analysis version 2.0 was used to analyze effect sizes, explore possible causes of heterogeneity, and check publication bias with a funnel plot and its trim-and-fill analysis. Results: Overall effect size of CBT intervention was large (g=1.08) along with each outcome of self-control (g=1.26), lack of attention (g=1.02), social skills (g=0.92), and hyperactivity (g=0.92). For heterogeneity, moderator analysis was performed, but no significant differences were found between the RCT (Randomized Controlled Trials) group and the NRCT (Non RCT) group. Also, meta-regression was performed using sample size, number of sessions, and length of session as predictors, but no statistically significant moderators were found. Finally, a funnel plot along with trim-and-fill analysis was produced to check for publication bias, but no significant bias was detected. Conclusion: Based on these findings, there is clear evidence that CBT intervention has significant positive effects on the main symptoms of school-aged children suffering ADHD. Further research is needed to target diverse age groups with ADHD along with more RCT studies to improve the effectiveness of the CBT intervention.

• Asian Pacific Journal of Cancer Prevention
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• v.13 no.1
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• pp.261-267
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• 2012

Purpose: The relationship between thymidylate synthase (TS) expression and outcomes in gastric cancer (GC) patients remains controversial, although most studies reported poor survival and reduced response to fluoropyrimidine were related to high TS in tumors. We carried out a systematic review of the literature with meta-analysis to estimate the predictive value of TS expression from published studies. Methods: We indentified 24 studies analysing the outcome data in gastric cancer stratified by TS expression. Effect measures of outcome were hazard ratios (HRs) for overall survival (OS) and event-free survival (EFS), or the odds ratio (OR) for overall response rate (ORR). HRs and ORs from these eligible studies were pooled using random-effects meta-analysis. Results: Fifteen studies investigated outcomes in a total of 844 patients with advanced GC, and nine studies investigated outcomes in a total of 1,235 patients with localized GC undergoing adjuvant therapy. Meta-analysis of estimates showed high TS expression was significantly associated with poor OS in the advanced setting (HR: 1.43, 95%CI: 1.08 - 1.90), and poor EFS in the adjuvant setting (HR: 1.53, 95%CI: 1.01 - 2.32). Subgroup analysis demonstrated TS expression to haves even greater value in predicting OS, EFS and ORR in advanced GC patients treated with fluoropyrimidine monotherapy (HR for OS: 2.32, 95%CI: 1.53 - 3.50; HR for EFS: 1.76, 95%CI: 1.19 - 2.60; OR for ORR: 0.32, 95%CI: 0.11 - 0.95). Conclusion: High levels of TS expression were asssociated with a poorer OS for advanced GC patients compared with low levels. In the adjuvant setting, high TS expression was also associated with a worse EFS. Additional studies with consistent methodology are needed to define the precise predictive value of TS.