• IMMUNE NETWORK
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• 제7권1호
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• pp.10-17
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• 2007

Autoimmune arthritis, such as rheumatoid arthritis (RA), is a chronic inflammatory disorder that primarily affects the joints and then results in their progressive destruction. Effector Th cells have been classified as Th1 and Th2 subsets based on their cytokine expression profiles and immune regulatory function. Another subset of T cells termed Th17 was recendy discovered and known to selectively produce IL-17. Also, Th17 was shown to be generated by TGF${\beta}$ and IL-6 and maintained by IL-23. IL-17 is a proinflammatory cytokine that is considered to involve the development of various inflammatory autoimmune diseases such as RA, asthma, lupus, and allograft rejection. IL-17 is present in the sera, synovial fluids and synovial biopsies of most RA patient. IL-17 activates RA synovial fibroblasts to synthesize IL-6, IL-8 and VEGF via PI3K/Akt and NF-${\kappa}B$ dependent pathway. IL-17 increases IL-6 production, collagen destruction and collagen synthesis. In addition, it not only causes bone resorption but also increases osteoclastogenesis and fetal cartilage destruction. Inhibition of the IL-17 production may contribute a novel therapeutic approach along with potent anti-inflammatory effect and with less immunosuppressive effect on host defenses.

• 대한전자공학회논문지SP
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• 제42권1호
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• pp.33-42
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• 2005

칼라 화소 성분들은 인쇄에서부터 획득하기까지의 전 과정에 거쳐 심하게 왜곡되기 때문에, 획득된 영상에서 정확한 칼라 정보를 필요로 하는 칼라 코트 식별 작업은 매우 어렵다. 정확한 칼라 식별을 달성하기 위해서는 서로 다른 칼라 영역들을 정화하게 분리해냄으로써 어떤 칼라 영역의 부분이 아닌 전체 화소들에 대한 통계적 처리를 가능하게 하는 영역 분할 기술이 필요하다. 칼라 영역 분한은 성분 영상(들)에 대한 경계선 검출을 수행하여 달성할 수 있다. 이 논문에서는 RGB, HSI, YIQ의 세 칼라 모델로부터의 성분 영상들에 대해 독립적으로 경계선을 검출하고, 결합에 의해 가장 완전한 경계선 영상을 제공하는 한쌍의 성분을 찾아내기 위한 수학적 분석과 실험을 수행하였다. 실험 결과, Y-와 R-성분 경계선 영상들을 결합했을 때 가장 좋은 결과를 얻을 수 있었다.

• 한국정보과학회논문지:시스템및이론
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• 제29권3호
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• pp.161-168
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• 2002

비밀분산법은 하나의 비밀정보(secret)를 분산시켜 다수의 참가자(participant)들에게 공유시키고 필요시 허가된 참가자 부분집합만이 비밀정보를 복원할 수 있도록 하는 암호 프로토콜이다. 본 논문에서는 트리(tree) 형태의 계층 구조를 갖는 참가자들에게 적용할 수 있는 새로운 비밀분산법을 제안한다. 참가자들은 트리 상의 상위 레벨부터 비밀정보의 복원에 대한 우선권을 갖는다. 상위 레벨에 속하는 참가자들이 부재 시에는 하위 레벨에 속하는 자식 노드들에게 위임 티켓(delegation ticket)을 전송하여 비밀정보의 복원 권한을 위임할 수 있다. 이러한 위임 과정을 최상위 레벨인 루트부터 비밀정보를 복원하는데 참여 가능한 하위 레벨까지 순차적으로 수행함으로써 제안하는 비밀분산법은 참가자들의 상황에 따라 동적인 접근구조(dynamic access structure)를 갖는다.

• Journal of Korean Biological Nursing Science
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• 제20권3호
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• pp.187-195
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• 2018

Purpose: The purpose of this study was to identify associations among the sleep disturbance, fatigue, job stress, and blood and body fluid (BBF) exposure of shift-work nurses. Methods: A total of 299 shift-work nurses from two tertiary hospitals were enrolled in this study. We used the Insomnia Severity Index (ISI), and the Fatigue Severity Scale (FSS), and the Korean Occupational Stress Scale-Short Form (KOSS-SF) to evaluate sleep disturbance, fatigue, and job stress, respectively. The data were analyzed using t-test or chi-squared test and Logistic regression analysis using the SPSS 23.0 program. Results: We found that 43.8% of participants reported BBF exposure over the past year. Splash or exposure to broken skin of BBF were most frequent (56.9%), and followed by needlestick injuries (30.4%) and sharp injuries (12.8%). Age, hospital, working period, level of stress, sleep disturbance ($ISI{\geq}15$), fatigue (FSS $score{\geq}4$), job demand and organizational climate subset in KOSS-SF were significantly associated with BBF exposure in shift-work nurses. In multivariate analysis after adjusting age and hospital, the risk factors of BBF exposure in shift-work nurses were the level of stress and fatigue (FSS $score{\geq}4$). Conclusion: Fatigue and job stress were related to BBF exposure in shift-work nurses. Our results suggest that management of sleep disturbance, fatigue, and high job stress in shift-work nurses is needed to reduce risk of BBF exposure.

• Journal of Microbiology
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• 제39권3호
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• pp.162-167
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• 2001

Methylovorus sp. strain SS1 DSM 11726 was found to grow continuously when it was transferred from 30$\^{C}$ to 40$\^{C}$ and 43$\^{C}$. A shift in growth temperature from 30$\^{C}$ to 45$\^{C}$, 47$\^{C}$ and 50$\^{C}$ reduced the viability of the cell population by more than 10$^2$, 10$^3$and 10$\^$5/ folds, respectively, after 1h cultivation. Cells transferred to 47$\^{C}$ and 50$\^{C}$ after preincubation for 15 min at 43$\^{C}$, however, exhibited 10-fold increase in viability. It was found that incubation for 15 min at 40$\^{C}$ of Methylovorus sp. strain SSl grown at 30$\^{C}$ was sufficient to accelerate the synthesis of a specific subset of proteins. The major heat shock proteins had apparent molecular masses of 90, 70, 66, 60, and 58 kDA. The 60 and 58 kDa proteins were found to cross-react with the antiserum raised against GroEL protein. The heat shock response persisted for over 1h. The shock proteins were stable for 90 min in the cell. Exposure of the cells to methanol induced proteins identical to the heat shock proteins. Addition of ethanol induced a unique protein with a molecular mass of about 40 kDa in addition to the heat-induced proteins. The proteins induced in paraquat-treated cells were different from the heat shock proteins, except the 70 and 60 kDa proteins.

• 한국정보처리학회논문지
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• 제7권8호
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• pp.2327-2340
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• 2000

다차원 색인 구조를 위한 기존의 벌크 로딩 알고리즘은 색인 구성 시간과 검색 성능 모두를 향상시키지 못하는 문제점을 갖는다. 이 논문은 이와 같은 문제점을 해결한 대량의 고차원 데이터에 대한 색인 구조를 위한 새로운 벌크 로딩 알고리즘을 제안한다. 제안한는 알고리즘은 색인을 구성하는 시간을 단축시키기 위해 전체 데이터 집합을 정렬하는 것이 아니라 데이터의 특성을 파악하여 피벗 값에 따라 분할하는 기법을 이용한다. 또한 검색 성능을 향상시키기 위해 데이터들의 분포 특성에 따라 분할 위치를 선택한다. 실험을 통해 제안하는 알고리즘의 기존의 알고리즘보다 색인 구성 시간과 검색 성능 측면에서 우수함을 보인다.

• 대한수학회지
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• 제54권5호
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• pp.1483-1504
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• 2017

We consider weak solutions of the instationary Navier-Stokes system in a smooth bounded domain ${\Omega}{\subset}{\mathbb{R}}^3$ with initial value $u_0{\in}L^2_{\sigma}({\Omega})$. It is known that a weak solution is a local strong solution in the sense of Serrin if $u_0$ satisfies the optimal initial value condition $u_0{\in}B^{-1+3/q}_{q,s_q}$ with Serrin exponents $s_q$ > 2, q > 3 such that ${\frac{2}{s_q}}+{\frac{3}{q}}=1$. This result has recently been generalized by the authors to weighted Serrin conditions such that u is contained in the weighted Serrin class ${{\int}_0^T}({\tau}^{\alpha}{\parallel}u({\tau}){\parallel}_q)^s$ $d{\tau}$ < ${\infty}$ with ${\frac{2}{s}}+{\frac{3}{q}}=1-2{\alpha}$, 0 < ${\alpha}$ < ${\frac{1}{2}}$. This regularity is guaranteed if and only if $u_0$ is contained in the Besov space $B^{-1+3/q}_{q,s}$. In this article we consider the limit case of initial values in the Besov space $B^{-1+3/q}_{q,{\infty}}$ and in its subspace ${{\circ}\atop{B}}^{-1+3/q}_{q,{\infty}}$ based on the continuous interpolation functor. Special emphasis is put on questions of uniqueness within the class of weak solutions.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제4권4호
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• pp.575-594
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• 2010

In this study, we propose a space search algorithm (SSA) and then introduce a hybrid optimization of fuzzy inference systems based on SSA and information granulation (IG). In comparison with "conventional" evolutionary algorithms (such as PSO), SSA leads no.t only to better search performance to find global optimization but is also more computationally effective when dealing with the optimization of the fuzzy models. In the hybrid optimization of fuzzy inference system, SSA is exploited to carry out the parametric optimization of the fuzzy model as well as to realize its structural optimization. IG realized with the aid of C-Means clustering helps determine the initial values of the apex parameters of the membership function of fuzzy model. The overall hybrid identification of fuzzy inference systems comes in the form of two optimization mechanisms: structure identification (such as the number of input variables to be used, a specific subset of input variables, the number of membership functions, and polyno.mial type) and parameter identification (viz. the apexes of membership function). The structure identification is developed by SSA and C-Means while the parameter estimation is realized via SSA and a standard least square method. The evaluation of the performance of the proposed model was carried out by using four representative numerical examples such as No.n-linear function, gas furnace, NO.x emission process data, and Mackey-Glass time series. A comparative study of SSA and PSO demonstrates that SSA leads to improved performance both in terms of the quality of the model and the computing time required. The proposed model is also contrasted with the quality of some "conventional" fuzzy models already encountered in the literature.

• Imaging Science in Dentistry
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• 제45권4호
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• pp.213-220
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• 2015

Purpose: The aim this study was to compare the accuracy of orthodontists and dentomaxillofacial radiologists in identifying 17 commonly used cephalometric landmarks, and to determine the extent of variability associated with each of those landmarks. Materials and Methods: Twenty digital lateral cephalometric radiographs were evaluated by two groups of dental specialists, and 17 cephalometric landmarks were identified. The x and y coordinates of each landmark were recorded. The mean value for each landmark was considered the best estimate and used as the standard. Variation in measurements of the distance between landmarks and measurements of the angles associated with certain landmarks was also assessed by a subset of two observers, and intraobserver and interobserver agreement were evaluated. Results: Intraclass correlation coefficients were excellent for intraobserver agreement, but only good for interobserver agreement. The least reliable landmark for orthodontists was the gnathion (Gn) point (standard deviation [SD], 5.92 mm), while the orbitale (Or) was the least reliable landmark (SD, 4.41 mm) for dentomaxillofacial radiologists. Furthermore, the condylion (Co)-Gn plane was the least consistent (SD, 4.43 mm). Conclusion: We established that some landmarks were not as reproducible as others, both horizontally and vertically. The most consistently identified landmark in both groups was the lower incisor border, while the least reliable points were Co, Gn, Or, and the anterior nasal spine. Overall, a lower level of reproducibility in the identification of cephalometric landmarks was observed among orthodontists.

• Clinical and Experimental Reproductive Medicine
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• 제26권2호
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• pp.287-291
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• 1999

Dopamine agonists are commonly used in the medical treatment of prolactinomas. Bromocriptine has been the most widely used ergot derivative for two decades. Its oral administration, at a daily dose of $2.5{\sim}7.5mg$, restored normal gonadal function and normoprolactinemia in about 80% of patients. Nevertheless, a subset of patients could not achieve normal prolactin levels or resume normal gonadal function despite $15{\sim}30mg$/day bromocriptine for at least 6 months. Subsequently, these prolactinomas were consedered to be resistant to bromocriptine. The percentage of bromocriptine - resistant prolactinoma patients reported in the literature varies between 5 and 17% according to the series. Patients with bromocriptine resistance or bromocriptine intolerance have, however, been treated with other dopamine agonists, such as lysuride, pergolide, cabergoline, or quinagolide. Until cabergoline recently gained a product licence in the UK, there was no alternative dopamine agonist with a licence for this purpose. Quinagolide (CV $205{\sim}502$, Norprolac, Sandoz) is a nonergot dopamine agonist with improved selectivity for the D2 receptor, designed to retain the active pharmacophore of bromocriptine without the ergot moiety that might be responsible for side - effects. We have experienced a case of bromocriptine resistant hyperprolactinemia which was reponsive to pergolide. So we report this case with a brief review of literatures.