• Journal of Nutrition and Health
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• v.41 no.8
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• pp.691-700
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• 2008

One suggested mechanism underlying copper (Cu) deficiency teratogenicity is a low availability of nitric oxide (NO), signaling molecule which is essential in developmental processes. Increased superoxide anions secondary to decreased activities of Cu-zinc superoxide dismutase (Cu-Zn SOD) in Cu deficiency can interact with NO to form peroxynitrite, which can nitrate proteins at tyrosine residues. In addition, peroxynitrite formation can limit NO bioavailability. We previously reported low NO availability and increased protein nitration in Cu deficient (Cu-) embryos. In the current study, we tested whether Cu deficiency alters downstream signaling of NO by assessing cyclic GMP (cGMP) and phosphorylated vasodilator-stimulating phosphoprotein (VASP) levels, and whether NO supplementation can affect these targets as well as protein nitration. Gestation day 8.5 embryos from Cu adequate (Cu+) or Cu- dams were collected and cultured in either Cu+ or Cu- media for 48 hr. A subset of embryos was cultured in Cu- media supplemented with a NO donor (DETA/NONOate; 20 ${\mu}M$) and/or Cu-Zn SOD. Cu-/Cu- embryos showed a higher incidence of embryonic and yolk sac abnormalities, low NO availability, blunted dose-response in NO concentrations to increasing doses of acetylcholine, low mRNA expression of endothelial nitric oxide synthase (eNOS), increased levels of 3-nitrotyrosine (3-NT) compared to Cu+/Cu+ controls. cGMP concentrations tended to be low in Cu-/Cu- embryos, and they were significantly lower in Cu-/Cu- yolk sacs than in controls. Levels of phosphorylated VASP at serine 239 (P-VASP) were similar in all groups. NO donor supplementation to the Cu- media ameliorated embryonic and yolk sac abnormalities, and resulted in increased levels of cGMP without altering levels of P-VASP and 3-NT. Taken together, these data support the concept that Cu deficiency limits NO availability and alters NO/cGMP-dependent signaling in Cu- embryos and yolk sacs, which contributes to Cu deficiency-induced abnormal development.

• The Journal of the Acoustical Society of Korea
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• v.24 no.4
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• pp.230-237
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• 2005

The angle-tracking of maneuvering targets is required to the state estimation and classification of targets in underwater acoustic systems. The Problem of angle-tracking multiple closed and crossing targets has been studied by various authors. Sword et al. Proposed a multiple target an91e-tracking algorithm using angular innovations of the targets during a sampling Period are estimated in the least square sense using the most recent estimate of the sensor output covariance matrix. This algorithm has attractive features of simple structure and avoidance of data association problem. Ryu et al. recently Proposed an effective multiple target angle-tracking algorithm which can obtain the angular innovations of the targets from a signal subspace instead of the sensor output covariance matrix. Hwang et al. improved the computational performance of a multiple target angle-tracking algorithm based on the fact that the steering vector and the noise subspace are orthogonal. These algorithms. however. are ineffective when a subset of the incident sources are coherent. In this Paper, we proposed a new multiple target angle-tracking algorithm for coherent and incoherent sources. The proposed algorithm uses the relationship between source steering vectors and the signal eigenvectors which are multiplied noise covariance matrix. The computer simulation results demonstrate the improved Performance of the Proposed algorithm.

• The Journal of Korean Medicine Ophthalmology and Otolaryngology and Dermatology
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• v.26 no.4
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• pp.1-14
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• 2013

Objectives : The purpose of this study is to investigate effects of Syzygium aromaticum (SAE) spread on the allergic contact dermatitis caused by 2,4-dinitro-chlorobezene (DNCB). Methods : Forty-two mice were divided into six groups ; normal, negative control (DNCB-treated), positive control (DNCB + 1% pimecrolimus), experimental group I, II and III. control and experimental groups were induced allergic contact dermatitis by DNCB. Experimental group I(DNCB + 0.2% SAE), II(DNCB + 1% SAE) and III(DNCB + 5% SAE) were spread SAE and positive control was spread the 1% pimecrolimus. In this study, effect of SAE on clinical aspects on the skin, histopathological change, the blood level of IgE, cytokines, histamine were investigated. In addition, effect of SAE on spleen $CD4^+/CD8^+$ T cell subset was investigated. Results : 1. In experimental group I, II and III, erythemas and edema were more reduced than negative control. 2. In experimental group I, II and III inflammatory edema and the numbers of infiltrated inflammatory cells were more reduced than negative control. 3. In experimental group I, II and III, clinical skin score was more reduced than negative control. 4. In experimental group II and III, the thickness of skin was statistically significant reduced than negative control. 5. In experimental group II and III, histamine release was statistically significant reduced than negative control in dose-dependantly. 6. In experimental group II and III, cytokines (IL-1${\beta}$, TNF-${\alpha}$, IL-4, IL-6, IL-10) were statistically significant reduced than negative control in dose-dependantly. 7. In experimental group I, II and III, the level of total IgE was statistically significant reduced than negative control in dose-dependantly. 8. In experimental group III, $CD4^+$ and $CD8^+$ T cells were statistically significant decreased similar to the positive control. Conclusions : According to above experiments, Syzygium aromaticum(SAE) was effective on allergic contact dermatitis.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.38B no.5
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• pp.385-393
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• 2013

In the past decade, a paradigm shift from machine-centered to human-centered and from technology-driven to user-driven has been witnessed. Consequently, Social search is getting more social and Social Network Service (SNS) is a popular Web service to connect and/or find friends, and the tendency of users interests often affects his/her who have similar interests. If we can track users' preferences in certain boundaries in terms of Web search and/or knowledge sharing, we can find more relevant information for users. In this paper, we propose a novel Topic Sensitive_Social Relationship Rank (TS_SRR) algorithm. We propose enhanced Web searching idea by finding similar and credible users in a Social Network incorporating social information in Web search. The Social Relation Rank between users are Social Relation Value, that is, for a different topics, a different subset of the above attributes is used to measure the Social Relation Rank. We observe that a user has a certain common interest with his/her credible friends in a Social Network, then focus on the problem of identifying users who have similar interests and high credibility, and sharing their search experiences. Thus, the proposed algorithm can make social search improve one step forward.

• Proceedings of the Korean Society for Bioinformatics Conference
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• 2006.02a
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• pp.83-89
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• 2006

Cellular functions are carried out by a concerted action of biochemical pathways whose components have genetic interactions. Abnormalities in the activity of the genes that constitute or modulate these pathways frequently have oncogenic implications. Therefore, identifying the upstream regulatory genes for major biochemical pathways and defining their roles in carcinogenesis can have important consequences in establishing an effective target-oriented antitumor strategy We have analyzed the gene expression profiles of human liver cancer samples using cDNA microarray chips enriched in liver and/or stomach-expressed cDNA elements, and identified groups of genes that can tell tumors from non-tumors or normal liver, or classify tumors according to clinical parameters such as tumor grade, age, and inflammation grade. We also set up a high-throughput cell-based assay system (cell chip) that can monitor the activity of major biochemical pathways through a reporter assay. Then, we applied the cell chip platform for the analysis of the HCC-associated genes discovered from transcriptome profiling, and found a number of cancer marker genes having a potential of modulating the activity of cancer-related biochemical pathways such as E2F, TCF, p53, Stat, Smad, AP-1, c-Myc, HIF and NF-kB. Some of these marker genes were previously blown to modulate these pathways, while most of the others not. Upon a fast-track phenotype analysis, a subset of the genes showed increased colony forming abilities in soft agar and altered cell morphology or adherence characteristics in the presence of purified matrix proteins. We are currently analyzing these selected marker genes in more detail for their effects on various biological Processes and for Possible clinical roles in liver cancer development.

• Journal of Gastric Cancer
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• v.1 no.2
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• pp.77-82
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• 2001

Purpose: The most important prognostic factors in gastric cancer are depth of invasion and lymph node metastasis. Therefore, the prognosis for serosa and lymph node negative gastric cancer is favorable. However, there is no general agreement on the prognostic factors in this subset of patients. This study was undertaken to evaluate the prognostic significances of venous invasion (VI), lymphatic invasion (LI), and perineural invasion (NI) in T1 and T2 gastric cancer without lymph node involvement. Materials and Methods: We retrospectively evaluated 206 patients with T1 and T2, lymph node negative gastric cancer who underwent a curative resection from 1989 to 1993 at Kangnam St. Mary's Hospital, Seoul, Korea. The Chi-square test was used to determine the statistical significance of differences, and the Kaplan-Meier method was used to calculate survival rates. Significant differences in the survival rates were assessed using the log-rank test, and the Cox regression method was used to evaluate independent prognostic significance. Results: The rate of VI, LI and NI correlated well with the depth of tumor invasion. The rates of VI (+) for T1 vs T2 was $0\%\;vs\;5.1\%$, of LI (+) was $5.6\%\;vs\;26.8\%$, and of NI (+) was $1.6\%\;vs\;26.8\%$ in NI (+). There were 13 recurrent cases, 10 cases out of the 13 were T2 gastric cancers, and the recurrence rate was higher in LI (+) and NI (+) cases than in LI (-) and NI (-) cases. The 5-year survival rates were $93.4\%$ in LI (-) cases, $77.4\%$ in LI (+) cases, $92.5\%$ in NI (-) cases, $74\%$ in NI(+) cases, $95.9\%$ in LI (-) NI (-) cases, and $73.9\%$ in LI (+) NI (+) cases. Multivariate analysis demonstrated that simultaneous LI and NI was the only significant factor influencing the prognosis. Conclusion: These results suggest that simultaneous lymphatic and perineural invasion may be an independent prognostic factor in patients with T1 and T2 gastric cancer without lymph node metastasis.

• Tuberculosis and Respiratory Diseases
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• v.45 no.1
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• pp.204-212
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• 1998

Bronchiolitis obliterans organizing pneumonia(BOOP) is a type of diffuse interstitial lung disease that has emerged in the past decade as an important cause of acute respiratory illness in adult. Clinically, the entity usually starts with a subacute influenza-like illness, followed by cough, progressive dyspnea, and weight loss. Organized inflammatory polypoid materials predominantly affecting distal bronchioles, alveolar ducts, and peribronchial alveolar spaces are a key pathologic findings. BOOP is characterized by a good response to glucocorticoid and an excellent prognosis. However, there is a subset of BOOP who presents with a fulminant course leading to death or chronic severe fibrosis with marked impairment of lung function. Recently, we have experienced a case of rapidly progressive BOOP, diagnosed by open lung biopsy and showed a reluctant response to corticosteroid.

• Journal of the Korean Institute of Intelligent Systems
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• v.18 no.1
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• pp.32-40
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• 2008

Fuzzy rules are very useful and efficient to describe classification rules especially when the attribute values are continuous and fuzzy in nature. However, it is generally difficult to determine membership functions for generating efficient fuzzy classification rules. In this paper, we propose a method of automatic generation of efficient fuzzy classification rules using evolutionary algorithm. In our method we generate a set of initial membership functions for evolutionary algorithm by supervised clustering the training data set and we evolve the set of initial membership functions in order to generate fuzzy classification rules taking into consideration both classification accuracy and rule comprehensibility. To reduce time to evaluate an individual we also propose an evolutionary algorithm with data partition evaluation in which the training data set is partitioned into a number of subsets and individuals are evaluated using a randomly selected subset of data at a time instead of the whole training data set. We experimented our algorithm with the UCI learning data sets, the experiment results showed that our method was more efficient at average compared with the existing algorithms. For the evolutionary algorithm with data partition evaluation, we experimented with our method over the intrusion detection data of KDD'99 Cup, and confirmed that evaluation time was reduced by about 70%. Compared with the KDD'99 Cup winner, the accuracy was increased by 1.54% while the cost was reduced by 20.8%.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.14 no.12
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• pp.2783-2790
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• 2010

In this paper, we first review LDPC codes in general and a belief propagation algorithm that works in logarithm domain. LDPC codes, which is chosen 802.11n for wireless local access network(WLAN) standard, require a large number of computation due to large size of coded block and iteration. Therefore, we presented three kinds of low computational algorithms for LDPC codes. First, sequential decoding with partial group is proposed. It has the same H/W complexity, and fewer number of iterations are required with the same performance in comparison with conventional decoder algorithm. Secondly, we have apply early stop algorithm. This method reduces number of unnecessary iterations. Third, early detection method for reducing the computational complexity is proposed. Using a confidence criterion, some bit nodes and check node edges are detected early on during decoding. Through the simulation, we knew that the iteration number are reduced by half using subset algorithm and early stop algorithm is reduced more than one iteration and computational complexity of early detected method is about 30% offs in case of check node update, 94% offs in case of check node update compared to conventional scheme. The LDPC decoder have been implemented in Xilinx System Generator and targeted to a Xilinx Virtx5-xc5vlx155t FPGA. When three algorithms are used, amount of device is about 45% off and the decoding speed is about two times faster than convectional scheme.

• Journal of the Computational Structural Engineering Institute of Korea
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• v.30 no.4
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• pp.307-312
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• 2017

In this study, we proposed a method to generate a maintenance documents for railway track through Construction Operations Building information exchange(COBie) which is a subset of Industry Foundation Classes(IFC), a data model for Building Information Modeling(BIM). In order to define the items necessary for railway track maintenance document generation, we analyzed the guideline of maintenance and management to track by the Ministry of Land, Infrastructure and Transport(MLTM), and defined the way to refer to the information items in the COBie spreadsheet. The additional properties not supported in IFC, were created for generation of an Information model that reflecting maintenance information items of railway track by applying user-defined property set within the IFC framework. An IFC-based Information model reflecting the user-defined property was implemented through BIM software, and rail track maintenance information items were transferred to COBie spreadsheet according to the defined approach. It is tested that the information can be transferred from the IFC-based as-built model to the COBie spreadsheet, which can be used to generate the necessary documents for railway facility maintenance work.