• Korean Journal of Radiology
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• v.21 no.4
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• pp.471-482
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• 2020

Objective: We aimed to determine the optimized image-based surrogate endpoints (IBSEs) in targeted therapies for glioblastoma through a systematic review and meta-analysis of phase III randomized controlled trials (RCTs). Materials and Methods: A systematic search of OVID-MEDLINE and EMBASE for phase III RCTs on glioblastoma was performed in December 2017. Data on overall survival (OS) and IBSEs, including progression-free survival (PFS), 6-month PFS (6moPFS), 12-month PFS (12moPFS), median PFS, and objective response rate (ORR) were extracted. Weighted linear regression analysis for the hazard ratio for OS and the hazard ratios or odds ratios for IBSEs was performed. The associations between IBSEs and OS were evaluated. Subgroup analyses according to disease stage (newly diagnosed glioblastoma versus recurrent glioblastoma), types of test treatment, and types of response assessment criteria were performed. Results: Twenty-three phase III RCTs published between 2000 and 2017, including 8387 patients, met the inclusion criteria. OS showed strong correlations with PFS (standardized β coefficient [R] = 0.719), 6moPFS (R = 0.647), and 12moPFS (R = 0.638). OS showed no correlations with median PFS and ORR. In subgroup analysis according to types of therapies, PFS showed the highest correlations with OS in targeted therapies for cell cycle pathways (R = 0.913) and growth factor receptors and their downstream pathways (R = 0.962). 12moPFS showed the highest correlation with OS in antiangiogenic therapy (R = 0.821). The response assessment in neuro-oncology criteria provided higher correlation coefficients between OS and IBSEs than the Macdonald criteria. Conclusion: Overall, PFS is an optimized IBSE in targeted therapies for glioblastoma; however, 12moPFS is optimal in antiangiogenic therapy.

• Clinical Endoscopy
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• v.57 no.2
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• pp.181-190
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• 2024

Background/Aims: Radiofrequency ablation (RFA) is the first-line therapy for dysplastic Barrett's esophagus (BE). Therefore, cryotherapy has emerged as an alternative treatment option. This study aimed to compare the efficacies of these two techniques based on the rates of complete eradication of intestinal metaplasia (CE-IM) and dysplasia (CE-D). Adverse events and recurrence have also been reported. Methods: An electronic search was conducted using the Medline (PubMed), Embase, LILACS, and Google Scholar databases until December 2022. Studies were included comparing cryotherapy and RFA for treating dysplastic BE with or without early esophageal neoplasia. This study was performed in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. Results: Three retrospective cohort studies involving 627 patients were included. Of these, 399 patients underwent RFA, and 228 were treated with cryotherapy. There was no difference in CE-IM (risk difference [RD], -0.03; 95% confidence interval [CI], -0.25 to 0.19; p=0.78; I²=86%) as well as in CE-D (RD, -0.03; 95% CI, -0.15 to 0.09; p=0.64; I²=70%) between the groups. The absolute number of adverse events was low, and there was no difference in the recurrence rate. Conclusions: Cryotherapy and RFA were equally effective in treating dysplastic BE, with or without early esophageal neoplasia.

• Journal of KIISE:Databases
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• v.37 no.5
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• pp.258-266
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• 2010

In this paper, we introduce a novel method to predict next update of blogs. The number of RSS feeds registered on meta-blogs is on the order of several million. Checking for updates is very time consuming and imposes a heavy burden on network resources. Since blog search engine has limited resources, there is a fix number of blogs that it can visit on a day. Nevertheless we need to maximize chances of getting new data, and the proposed method which predicts update probability on blogs could bring better chances for it. Also this work is important to avoid distributed denial-of-service attack for the owners of blogs. Furthermore, for the internet as whole this work is important, too, because our approach could minimize traffic. In this study, we assumed that there is a specific pattern to when a blogger is actively posting, in terms of days of the week and, more specifically, hours of the day. We analyzed 15,119 blogs to determine a blogger's posting preference. This paper proposes a method to predict the update probability based on a blogger's posting history and preferred days of the week. We applied proposed method to 12,115 blogs to check the precision of our predictions. The evaluation shows that the model has a precision of 0.5 for over 93.06% of the blogs examined.

• Korean Journal of Psychosomatic Medicine
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• v.25 no.1
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• pp.19-26
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• 2017

Objectives : The aim of this meta-analysis study was to examine the relationship between cognitive anxiety and performance in closed loop skill sports. Methods : A comprehensive literature search was conducted using databases including Korean Information Service System, DBpia, Research Information Sharing Service, and National Assembly Library from 1980 to 2015. Search terms included 'Golf', 'Shooting', 'Archery', 'Anxiety', and 'Performance'. Standardized mean difference and 95% CI(confidence intervals) were calculated, and the heterogeneity of the studies was estimated using Q statistic. Results : Ten studies have satisfied the inclusion criteria. The main findings indicate that cognitive anxiety was significantly reverse correlated with performance in closed loop skill sports(r=-.198). The mean effect size for men(r=-.31) was significantly greater than that for women(r=-.05). Conclusions : Our results suggest that cognitive anxiety in closed loop skill sports is correlated with performance of athletes. Future study related to psychological aspects on athletes in sports is required in order to understand the specific evidence of relationship between anxiety and performance.

• Asian Pacific Journal of Cancer Prevention
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• v.16 no.6
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• pp.2333-2340
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• 2015

Background: Due to the strong inhibitory effects of $PPAR{\gamma}$ gene on the growth of cancer cells, the role of Pro12Ala polymorphism in $PPAR{\gamma}$ gene has been extensively investigated in cancer recently. However, the results were inconsistent according to cancer type. The aim of this study was to comprehensively evaluate the $PPAR{\gamma}$ Pro12Ala polymorphism and gastric cancer susceptibility. Materials and Methods: Search strategies were conducted in Pubmed, Medline (Ovid), Chinese biomedical database (CBM), China national knowledge infrastructure (CNKI), VIP, and Wanfang database, covering all publications, with the last search up to November 01, 2014. The strength of association between $PPAR{\gamma}$ Pro12Ala polymorphism and gastric cancer risk was assessed by OR with 95%CI. Results: A total of 546 cases and 827 controls in 5 case-control studies were included in this meta-analysis. The results indicated that the variant G allele carriers (CG+GG) had a 2.31 times higher risk for gastric cancer when compared with the homozygote CC (odds ratio (OR)=2.31, 95% confidence interval (CI)=1.67-3.21 for CG+GG vs. CC). In the subgroup analysis by ethnicity, significantly elevated risks were both found in Asians (OR=2.56, 95% CI=1.42-4.64) and Caucasians (OR=2.20, 95% CI=1.48-3.25). Similarly, in the subgroup analysis by H. pylori status, a significantly increased risk was identified in H. pylori (+) populations (OR=3.68, 95%CI=2.07-6.52), but not in H. pylori(-) populations (OR=1.17, 95%CI=0.58-2.39). Conclusions: This pooled analysis suggested that the $PPAR{\gamma}$ Pro12Ala polymorphism could be an independent predictive risk factor for gastric cancer especially in H. pylori infected populations in Asians and Caucasians. Nevertheless, prospectively designed cohort studies are needed to further investigate gene-gene and gene-environment interactions to confirm the combined effects of $PPAR{\gamma}$ Pro12Ala polymorphisms and H. pylori infection on gastric cancer risk.

• Journal of Hospice and Palliative Care
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• v.18 no.2
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• pp.136-147
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• 2015

Purpose: This study was conducted to evaluate the effects of integrated palliative care intervention on quality of life in terminally ill patients. Methods: A comprehensive literature search was performed via PubMed, Cochrane Library CENTRAL, LWW (Ovid), CINAHL and several Korean databases. The main search strategy was to combine terms indicating palliative care intervention, presence of terminal illness and study design. Methodological quality was assessed using Cochrane's Risk of Bias for randomized studies and Risk of Bias Assessment tool for non-randomized studies. Data were analyzed by the Stata 10 program. Results: Eight clinical trials met the inclusion criteria with a total of 356 participants. Integrated palliative care interventions were administered for a mean of 6.5 weeks, 5.6 sessions and an average of 47.8 minutes per session. Effect sizes were heterogeneous, and subgroup analysis was done. Integrated palliative care interventions had a significant effect on quality of life (ES=1.83, P=0.018, $l^2=92%$), spiritual well-being (ES=0.78, P=0.040, $l^2=0$), depression (ES=0.86, P<0.001, $l^2=32$) and anxiety (ES=0.69, P=0.041, $l^2=71.1$). But integrated palliative care interventions had no significant effect on pain (ES=0.365, P=0.230, $l^2=69.8$). Conclusion: Results support findings that integrated palliative care interventions were helpful in lessening depression and anxiety and improving quality of life and spiritual well-being, however, the interventions did not assist pain management in terminal cancer patients. These findings suggest that various integrated palliative care interventions can assist terminal cancer patients with better quality of life in the socio-psycho-spiritual dimension.

• Journal of KIISE:Software and Applications
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• v.34 no.1
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• pp.1-10
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• 2007

This paper proposes a new indexing mechanism for MPEG-7 visual descriptors, especially Dominant Color and Contour Shape descriptors, that guarantees an efficient similarity search for the multimedia database whose visual meta-data are represented with MPEG-7. Since the similarity metric used in the Dominant Color descriptor is based on Gaussian mixture model, the descriptor itself could be transform into a color histogram in which the distribution of the color values follows the Gauss distribution. Then, the transformed Dominant Color descriptor (i.e., the color histogram) is indexed in the proposed indexing mechanism. For the indexing of Contour Shape descriptor, we have used a two-pass algorithm. That is, in the first pass, since the similarity of two shapes could be roughly measured with the global parameters such as eccentricity and circularity used in Contour shape descriptor, the dissimilar image objects could be excluded with these global parameters first. Then, the similarities between the query and remaining image objects are measured with the peak parameters of Contour Shape descriptor. This two-pass approach helps to reduce the computational resources to measure the similarity of image objects using Contour Shape descriptor. This paper also proposes two integration schemes of visual descriptors for an efficient retrieval of multimedia database. The one is to use the weight of descriptor as a yardstick to determine the number of selected similar image objects with respect to that descriptor, and the other is to use the weight as the degree of importance of the descriptor in the global similarity measurement. Experimental results show that the proposed indexing and integration schemes produce a remarkable speed-up comparing to the exact similarity search, although there are some losses in the accuracy because of the approximated computation in indexing. The proposed schemes could be used to build a multimedia database represented in MPEG-7 that guarantees an efficient retrieval.

• KEPCO Journal on Electric Power and Energy
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• v.2 no.2
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• pp.311-316
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• 2016

Network intrusion detection system based on machine learning method such as artificial neural network is quite dependent on the selected features in terms of accuracy and efficiency. Nevertheless, choosing the optimal combination of features, which guarantees accuracy and efficienty, from generally used many features to detect network intrusion requires extensive computing resources. In this paper, we deal with a optimal feature selection problem to determine 6 denial service attacks and normal usage provided by NSL-KDD data. We propose a optimal feature selection algorithm. Proposed algorithm is based on the multi-start local search algorithm, one of representative meta-heuristic algorithm for solving optimization problem. In order to evaluate the performance of our proposed algorithm, comparison with a case of all 41 features used against NSL-KDD data is conducted. In addtion, comparisons between 3 well-known machine learning methods (multi-layer perceptron., Bayes classifier, and Support vector machine) are performed to find a machine learning method which shows the best performance combined with the proposed feature selection method.

• The KIPS Transactions:PartB
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• v.11B no.2
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• pp.221-226
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• 2004

Ant Colony System(ACS) Algorithm is new meta-heuristic for hard combinational optimization problem. It is a population-based approach that uses exploitation of positive feedback as well as greedy search. Recently, various methods and solutions are proposed to solve optimal solution of graph coloring problem that assign to color for adjacency node($v_i, v_j$) that they has not same color. In this paper introducing ANTCOL Algorithm that is method to solve solution by Ant Colony System algorithm that is not method that it is known well as solution of existent graph coloring problem. After introducing ACS algorithm and Assignment Type Problem, show the wav how to apply ACS to solve ATP And compare graph coloring result and execution time when use existent generating functions(ANT_Random, ANT_LF, ANT_SL, ANT_DSATUR, ANT_RLF method) with ANT_XRLF method that use XRLF that apply Randomize to RLF to solve ANTCOL. Also compare graph coloring result and execution time when use method to add re-search to ANT_XRLF(ANT_XRLF_R) with existent generating functions.

• The Journal of Korean Society for School & Community Health Education
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• v.24 no.4
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• pp.39-50
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• 2023

Objectives: This study aimed to provide a scoping review of the impact of COVID-19 on people with disabilities. Methods: PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) Group's key questions (PICO) for systematic reviews, a literature search was conducted from January 1, 2020 to June 30, 2023 using the "AND" search formula. The databases used were Korea DB: RISS, SCIENCEON, and KoreaMed, and International DB: PubMed, CINAHL, and Embase. Results: Among a total of 22 selected articles, 4 studies were published in korea journals: 3 were survey studies (75.0%), 1 was an analysis study (25.0%), and 18 studies were published in international journals. Through a literature review, we confirmed the differences in difficulties between PwD (People with Disability) and PwoD (People without Disability) in the COVID-19 situation, differences by disability type, and post-COVID-19 impact. In order to examine this systematically and objectively, the results were examined by dividing them, which are components based on the International Classification of Functioning, Disability and Health (ICF). Conclusion: In order to respond well to crises and establish effective health policies in similar pandemic situations in the future, understanding and exploration of more diverse types and areas of disability are necessary. In addition, the development and application of appropriate health education and health promotion programs for disability type and ICF component area are required. In addition, it is necessary to develop and apply appropriate health education and health promotion programs tailored to the type of disability and ICF component area.