• Asian Pacific Journal of Cancer Prevention
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• v.14 no.6
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• pp.3403-3409
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• 2013

Breast cancer is the most common cancer among women affecting up to one third of tehm during their lifespans. Increased expression of some genes due to polymorphisms increases the risk of breast cancer incidence. Since mutations that are recognized to increase breast cancer risk within families are quite rare, identification of these SNPs is very important. The most important loci which include mutations are; BRCA1, BRCA2, PTEN, ATM, TP53, CHEK2, PPM1D, CDH1, MLH1, MRE11, MSH2, MSH6, MUTYH, NBN, PMS1, PMS2, BRIP1, RAD50, RAD51C, STK11 and BARD1. Presence of SNPs in these genes increases the risk of breast cancer and associated diagnostic markers are among the most reliable for assessing prognosis of breast cancer. In this article we reviewed the hereditary genes of breast cancer and SNPs associated with increasing the risk of breast cancer that were recently were reported from candidate gene, meta-analysis and GWAS studies. SNPs of genes associated with breast cancer can be used as a potential tool for improving cancer diagnosis and treatment planning.

• Journal of KIISE
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• v.42 no.6
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• pp.755-763
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• 2015

As fixing bugs is a large part of software development and maintenance, estimating the time to fix bugs -bug fixing time- is extremely useful when planning software projects. Therefore, in this study, we propose a way to estimate bug fixing time using bug reports. First, we classify previous bug reports with meta fields by applying a k-NN method. Next, we compute the similarity of the new bug and previous bugs by using data from bug reports. Finally, we estimate how long it will take to fix the new bug using the time it took to repair similar bugs. In this study, we perform experiments with open source software. The results of these experiments show that our approach effectively estimates the bug fixing time.

• Journal of Advanced Navigation Technology
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• v.13 no.5
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• pp.781-786
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• 2009

The cloud computing environment is a new trend of web based application parts. It can be IT business model that is able to easily support learning service and allocate resources through the internet to users. U-learning also is a maximal model with efficiency of the internet based learning. Thus, in this research, we proposed a design of u-learning's teaching and learning model that is applying the internet based learning. Proposal method is to fit u-learning and has 7 steps: Preparing, planning, gathering, learning process, analysis and evaluation, and feedback. We make a cloud u-learning server and cloud LMS to process and manage the service. And We also make a mobile devices meta data to aware the model.

• Journal of the Korean Academy of Child and Adolescent Psychiatry
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• v.32 no.3
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• pp.85-92
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• 2021

Attention-deficit/hyperactivity disorder (ADHD) leads to functional decline in academic performance, interpersonal relationships, and development in school-aged children. Early diagnosis and appropriate intervention can significantly reduce the functional decline caused by ADHD. Currently, there is no established biological marker for ADHD. Some studies have suggested that various indicators from the quantitative electroencephalogram (QEEG) may be useful biological markers for the diagnosis of ADHD. Until the 2010s, theta/beta ratio (TBR) was a biomarker candidate for ADHD that consistently showed high diagnostic value. However, limitations of TBR have recently been reported. Studies have demonstrated that phase-amplitude coupling, especially theta phase-gamma amplitude coupling, are related to cognitive dysfunction and may assist in the diagnosis of ADHD. As yet, the underlying mechanism is not clearly established, and the clinical efficacy of these biomarkers needs to be proven through well-controlled studies. Based on the heterogeneous characteristics of ADHD, subgrouping through QEEG plays a key role in diagnosis and treatment planning. Sophisticated, well-designed studies and meta-analyses are necessary to confirm these findings.

• Korean Journal of Environment and Ecology
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• v.12 no.3
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• pp.253-258
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• 1998

It is common in foreign countries to make a compensative plan for environmental destruction which is caused by development action even in where development is permitted. But, in Korea, environmental plan was regarded as just meeting the legal standard of green area in site development. This study focused on the case of university project, LG village plan, is to evaluate the environment of the site using Hemeroby and suggested restoration plan in compensation for the destructive. The site was a huge development area of apartment located in Suwon. First of all, we evaluated the site using Hemeroby and compared this with LG village plan. Then, we made a compensative plan for the environmental destruction which was not compensated in LG village plan. The results were as follows; $\beta$-/$\alpha$-euhemeroby of the Site was 80.1% before the development and, after the development, $\beta$-/$\alpha$-euhemeroby of the site dropped to 43.7％ and meta-hemeroby increased from 56.3% to 17％. Therefore, we could accept the buildings of LG village development plan and suggested a compensative plan with which we could raise $\beta$-/$\alpha$-euhemeroby like restoring the river, greening parking-lots and rooftops, revegetating cut slope.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.39 no.3
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• pp.83-89
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• 2016

The group formation problem of the machine and part is a critical issue in the planning stage of cellular manufacturing systems. The machine-part grouping with alternative process plans means to form machine-part groupings in which a part may be processed not only by a specific process but by many alternative processes. For this problem, this study presents an algorithm based on self organizing neural networks, so called SOM (Self Organizing feature Map). The SOM, a special type of neural networks is an intelligent tool for grouping machines and parts in group formation problem of the machine and part. SOM can learn from complex, multi-dimensional data and transform them into visually decipherable clusters. In the proposed algorithm, output layer in SOM network had been set as one-dimensional structure and the number of output node has been set sufficiently large in order to spread out the input vectors in the order of similarity. In the first stage of the proposed algorithm, SOM has been applied twice to form an initial machine-process group. In the second stage, grouping efficacy is considered to transform the initial machine-process group into a final machine-process group and a final machine-part group. The proposed algorithm was tested on well-known machine-part grouping problems with alternative process plans. The results of this computational study demonstrate the superiority of the proposed algorithm. The proposed algorithm can be easily applied to the group formation problem compared to other meta-heuristic based algorithms. In addition, it can be used to solve large-scale group formation problems.

• Asian Pacific Journal of Cancer Prevention
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• v.14 no.10
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• pp.5609-5614
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• 2013

Background: Colorectal cancer is the third most common cancer in both men and women in the world and the second leading cause of cancer-related deaths. The incidence of colorectal cancer has increased in Iran in the past three decades and is now considered as a serious problem for our society. This cancer has two types hereditary and non-hereditary, 80% of cases being the latter. Considering that the relationship between SNPs with diseases is a concern, many researchers believed that they offer valuable markers for identifying genes responsible for susceptibility to common diseases. In some cases, they are direct causes of human disease. One SNP can increase risk of cancer, but when considering the rate of overlap and frequency of DNA repair pathways, it might be expected that SNP alone cannot affect the final result of cancer, although several SNPs together can exert a significant influence. Therefore identification of these SNPs is very important. The most important loci which include mutations are: MLH1, MSH2, PMS2, APC, MUTYH, SMAD7, STK11, $XRCC_3$, $DNMT_1$, MTHFR, Exo1, $XRCC_1$ and VDR. Presence of SNPs in these genes decreases or increases risk of colorectal cancer. Materials and Methods: In this article we reviewed the Genes and SNPs associated with non-hereditary and hereditary of colorectal cancer that recently were reported from candidate gene y, meta-analysis and GWAS studies. Results: As with other cancers, colorectal cancer is associated with SNPs in gene loci. Generally, by exploring SNPs, it is feasible to predict the risk of developing colorectal cancer and thus establishing proper preventive measures. Conclusions: SNPs of genes associated with colorectal cancer can be used as a marker SNP panel as a potential tool for improving cancer diagnosis and treatment planning.

• The Journal of Information Systems
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• v.27 no.4
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• pp.1-33
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• 2018

Purpose The purpose of this study is to review topic and survey methodological trends in 'The Journal of Information Systems' in order to present the practical guidelines for the future IS research. By attempting to conduct a meta-analysis on both topic and survey methodological trends, this study could provide researchers wishing to pursue this line of work further with what can be done to improve IS disciplines. Design/methodology/approach In this study, we have reviewed 185 papers that were published in 'The Journal of Information Systems' from 2010 to 2018 and classified them based on topics studied and survey methodologies used. The classification guidelines, which was developed by Palvia et al.(2015), has been used to capture the topic trends. We have also employed Struab et al.(2004)s' guidelines for securing rigor of validation issues. By using two guidelines, this study could also present topic and rigor trends in 'The Journal of Information Systems' and compare them to those trends in International Journals. Findings Our findings have identified dominant research topics in 'The Journal of Information Systems'; 1) social media and social computing, 2) IS usage and adoption, 3) mobile computing, 4) electronic commerce/business, 5) security and privacy, 6) supply chain management, 7) innovation, 8) knowledge management, and 9) IS management and planning. This study also could offer researchers who pursue this line of work further practical guidelines on mandatory (convergent and discriminant validity, reliability, and statistical conclusion validity), highly recommended (common method bias testing), and optional validations (measurement invariance testing for subgroup analysis, bootstrapping methods for testing mediating effects).

• Journal of the Korea Society for Simulation
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• v.19 no.1
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• pp.73-82
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• 2010

Productivity improvement is considered as one of hot potato topics in international shipyards by the increasing amount of orders. In order to improve productivity of lines, shipbuilders have been researching and developing new work method, process automation, advanced planning and scheduling and so on. An optimization approach was accomplished on short-term scheduling of subassembly lines in this research. The problem of subassembly line scheduling turned out to be a non-deterministic polynomial time problem with regard to SKID pattern’s sequence and worker assignment to each station. The problem was applied by simulated annealing algorithm, one of meta-heuristic methods. The algorithm was aimed to avoid local minimum value by changing results with probability function. The optimization result was compared with discrete-event simulation's to propose what pros and cons were. This paper will help planners work on scheduling and decision-making to complete their task by evaluation.

• Journal of Korean Library and Information Science Society
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• v.46 no.2
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• pp.337-366
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• 2015

This study had begun about the conflict between a lack of social adjustment and integration program for resident foreigners in Korea and a duplication of multicultural service in a specific area. This study was implemented through literature review and interview for analyses of the current status and problems of multicultural policy, subdivided into 3-stages model to reach the multiculturalism as multicultural policy process. The first stage suggested the unification of a channel for establishing a policies, reinforcing the functions of government ministries and the cooperation between the branches of the government. The second stage attempted to build the multicutural institutes network in a specific area unit, considering of the geographical and administrative environments. The third stage focused on the activities of individual organizations and proposed collaboration with library, school, support center for multi-cultural families, social service center, sport center, community center, and cultural facility. Additionally, 3-stages model emphasized on civic organization's role. This study was offered a meta-platform leaded by library community for sharing the information about planning and managing of multicutural programs and also mentioned significances for formulating multicutural policies. As a result, this study was presented and specified the 3-stages model to reach the multiculturalism, and verified the various considerations which have influenced the refinements of the multicultural policies as the demographic and geographical characteristics.