• Journal of Acupuncture Research
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• 제37권2호
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• pp.123-127
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• 2020

Background: This study was designed using a mouse model of atopic dermatitis [phthalic anhydride (PA)-treated mice], to investigate the anti-inflammatory effect of bee venom pharmacopuncture (BVP) in keratinocytes. Methods: Western blot analysis was performed to investigate inflammation related protein expression of iNOS, COX-2, phospho-ERK (p-ERK), and ERK, in LPS (1 ㎍/mL)-activated keratinocytes, following BVP treatment, and in PA-treated mice, after BVP treatment. Griess reaction was performed to investigate NO concentration. Enzyme-linked immunosorbent assays were used to determine the concentrations of interleukin (IL)-4+, IL-17A+, IL-13 and IL-4 in PA-treated mice after BVP treatment. In addition, monocyte, macrophage, neutrophil, and eosinophil counts were measured to observe the changes in white blood cell infiltration. Results: The keratinocytes of the BVP-treated group showed a decreased expression of iNOS, COX-2, ERK at 5 OX-2, ERK E, and p-ERK at 1, 2 and 5 RKRK ERK ERK, and a dose-dependent decrease in NO concentration at 2 and 5 ntrationof s. In the BVP-treated groups (0.1 μ.1-trea μ.1-treated gr), PA-treated mice showed recovery after 4 weeks which was dose-dependent, showing a significant decrease in clinical scores for AD, and a decreased concentration of IL-13 and IL-4 with BV treatment. There was a dose-dependent decrease in the infiltration of eosinophils, neutrophils, monocytes, macrophages, and a decreased thickness of the epidermis due to inflammation, and decreased expressions of iNOS, COX-2, p-ERK, ERK, especially in the 0.1 μ0/mL BVP-treated group, Conclusion: These results suggest that BVP may be an effective alternative treatment for atopic dermatitis.

• Asian Pacific Journal of Cancer Prevention
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• 제16권9호
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• pp.3923-3926
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• 2015

Background: Lung cancer is a fatal malignancy with high mortality and short survival time. The aim of this study was to estimate survival rates of Iranian patients with lung cancer and its associate predictive factors. Materials and Methods: The study was conducted on 355 patients admitted to hospitals of West Azerbaijan in the year 2007. The patients were followed up by phone calls until the end of June 2014. The survival rate was estimated using the Kaplan-Meier method and log-rank test for comparison. The Cox's proportional hazard model was used to investigate the effect of various variables on patient survival time, including age, sex, Eastern Cooperative Oncology Group (ECOG) performance, smoking status, tumor type, tumor stage, treatment, metastasis, and blood hemoglobin concentration. Results: Of the 355 patients under study, 240 died and 115 were censored. The mean and median survival time of patients was 13 and 4.8 months, respectively. According to the results of Kaplan-Meier method, 1, 2, and 3 years survival rates were 39%, 18%, and 0.07%, respectively. Based on Cox regression analysis, the risk of death was associated with ECOG group V (1.83, 95% CI: 1 Conclusions: The survival time of the patients with lung cancer is very short. While early diagnosis may improve the life expectancy effective treatment is not available.

• Journal of the Korean Data and Information Science Society
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• 제22권1호
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• pp.89-97
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• 2011

본 연구에서는 Buckley와 James의 방법을 이용하여 중도절단된 자료를 보완한 조건부생존함수 추정량으로부터 조건부평균잔여수명함수를 추정하는 방법을 제안하고, 모의실험을 통하여 제안된 방법의 효율성을 평가하였다. 모의실험 결과 비례위험모형이 아닌 경우 제안된 방법으로 추정한 조건부 평균잔여수명함수의 평균제곱오차가 Cox모형이나 Beran의 비모수적 방법을 이용하여 구한 추정치의 평균제곱오차보다 작게 나타났으며, 비례위험모형인 경우에는 제안된 방법으로 추정한 결과들이 Cox 모형을 이용하여 얻은 결과들과 비슷하게 나타났다. 또한 K대학교병원 외과에서 위암 수술을 받은 1,192명의 환자 자료를 이용하여 제안된 방법의 임상적 적용의 적절성을 평가하였다.

• 한방재활의학과학회지
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• 제23권2호
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• pp.1-15
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• 2013

Objectives : In present study, we investigated the effects of ginsenoside Rg3 on early-stage inflammatory response in spinal cord compression of rodents. Methods : Spinal cord injury(SCI) was induced by a vascular clip method(30 g, 5 min) on the spinal cord of mice. Rg3 was treated orally at 1 hour prior to the SCI induction. Messenger ribonucleic acid(mRNA) expression of tumor necrosis factor-${\alpha}$(TNF-${\alpha}$), interleukin-1${\beta}$(IL-1${\beta}$), interleukin-6(IL-6) and cyclooxygenase-2(COX-2) was measured by the real-time polymerase chain reaction(RT-PCR). Microglia in the spinal cord tissue, neurophils and COX-2 in the peri-lesion and inducible nitric oxide synthase(iNOS) expression in the ventral horn of SCI induced rats were measured by immunohistochemical stain. Results : 1. Rg3 significantly reduced the mRNA expression of TNF-${\alpha}$, IL-1${\beta}$, and COX-2 in the spinal cord tissue compared with SCI group(p<0.05, p<0.01). 2. Rg3 significantly reduced the total number of activated microglia and proportion of phagocytic form in the total activated microglia compared with SCI group(p<0.05, p<0.01). 3. Rg3 significantly reduced myeloperoxidase(MPO) positive neurophil in the peri-lesion compared with SCI group(p<0.05). 4. Rg3 reduced the COX-2 expression in the tissue and motor neurons compared with SCI group. 5. Rg3 significantly reduced iNOS positive motor neurons in the ventral horn compared with SCI group(p<0.01). Conclusions : In conclusion, we demonstrated at first that treatment of ginsenoside Rg3 could reduce significantly the levels of inflammatory mediators in a spinal cord compression model of rodents. Therefore, these results suggested that ginsenoside Rg3 may be a useful antimiflamatory therapeutic candidate for SCI.

• Molecules and Cells
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• 제23권3호
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• pp.398-404
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• 2007

Cyclooxygenase-2 (COX-2) and inducible nitric oxide synthase (iNOS) are involved in various pathophysiological processes such as inflammation and carcinogenesis. In a search for inhibitors of COX-2 and iNOS production we found that extracts of Stewartia koreana strongly inhibited NO and $PGE_2$ production in LPS-treated macrophage RAW 264.7 cells. We have now shown that the mRNA and protein levels of iNOS and COX-2 are reduced by the Stewartia koreana extract (SKE). SKE inhibited expression of an NF-${\kappa}B$ reporter gene in response to LPS, and gel mobility shift assays revealed that SKE reduced NF-${\kappa}B$ DNA-binding activity. The extract also inhibited LPS-induced phosphorylation of $I{\kappa}B-{\alpha}$ and nuclear translocation of p65. Administration of the extract reduced the symptoms of arthritis in a collagen-induced arthritic mouse model. These results indicate that Stewartia extracts contain potentially useful agents for preventing and treating inflammatory diseases.

• International Journal of Oral Biology
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• 제44권2호
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• pp.55-61
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• 2019

The purpose of this study was to evaluate the effect of mangosteen extract complex (MEC; Garcinia mangostana L. and propolis extracts) on the inhibition of inflammation and prevention of alveolar bone loss using a ligature-induced periodontitis model. Rat molars were ligatured with silk, and $1{\mu}g/mL$ of lipopolysaccharide of Porphyromonas gingivalis was injected into the buccal and palatal gingivae of the teeth with or without treatment with the MEC. Changes in the expression levels of prostaglandin $E_2$ ($PGE_2$), interleukin-8 (IL-8), inducible nitric oxide synthase (iNOS), matrix metalloproteinase-8 (MMP-8), cyclooxygenase (COX)-1, and COX-2 in gingival tissues were evaluated using enzyme-linked immunosorbent assays. Alveolar bone loss around the ligated molars was examined using micro-computed tomography. The expression levels of $PGE_2$, IL-8, iNOS, MMP-8, COX-1, and COX-2 in gingival tissues were significantly reduced in the group treated with a mixture of $16{\mu}g$ of mangosteen extract powder and $544{\mu}g$ of propolis extract powder (ligation [Lig] + lipopolysaccharide extracted from P. gingivalis KCOM 2804 [L] + MEC 1:34). Additionally, alveolar bone loss was significantly reduced in the Lig + L + MEC 1:34 group compared with that in other groups. These results indicate that the MEC could be useful in preventing and treating periodontitis.

• 대한화장품학회지
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• 제30권2호
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• pp.247-251
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• 2004

자외선은 피부에 염증반응이나 광노화와 같은 다양한 반응을 야기시킨다고 알려져 있다. 특히 자외선에 의해 손상을 받은 피부는 콜라겐의 양이 감소되어 있는데, 이는 자외선에 의해 피부 내에서 콜라겐을 분해하는 효소(MMP, matrix metalloproteinases)의 양이 증가하기 때문이라고 알려져 왔다. 또한 자외선에 의해 피부에서 염증반응이 유발되는데, 이러한 반응은 프로스타글란딘이라는 물질에 의해 매개되며, 이 프로스타글란딘에 의해서도 MMP가 증가한다고 알려져 왔다. 본 연구에서는 6개월의 임상실험을 통해 광노화된 피부에서 주름형성억제효능이 뛰어난 FDP(fructose 1.6-diphosphate)의 작용기전을 인체각질형성 세포를 이용하여 연구하였다. 인체각질형성세포에 자외선을 조사할 경우 프로스타글란딘, COX-2(cyclooxygenase-2), MMPs의 활성이 증가하는 것을 확인하였며, 이는 FDP의 처리에 의해 감소되었다. 이러한 효과는 자외선에 의해 인체각질형성세포에서 발생하는 신호전달과정을 억제함으로써 일어나는 효과임이 증명되었다. 따라서, FDP는 자외선에 의해 일어나는 세포 내 신호전달과정을 억제하며, 이로 인해 야기되는 프로스타글란딘, COX-2, MMPs의 증가를 억제함으로써 피부의 광노화를 억제할 수 있는 원료로 여겨진다.

• Communications for Statistical Applications and Methods
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• 제24권2호
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• pp.115-127
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• 2017

This paper proposes a Bayesian test for the equivalence of survival functions in multiple groups. Proposed Bayesian test use the model of Cox's regression with time-varying coefficients. B-spline expansions are used for the time-varying coefficients, and the proposed test use only the partial likelihood, which provides easier computations. Various simulations of the proposed test and typical tests such as log-rank and Fleming and Harrington tests were conducted. This result shows that the proposed test is consistent as data size increase. Specifically, the power of the proposed test is high despite the existence of crossing hazards. The proposed test is based on a Bayesian approach, which is more flexible when used in multiple tests. The proposed test can therefore perform various tests simultaneously. Real data analysis of Larynx Cancer Data was conducted to assess applicability.

• 한국기록관리학회지
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• 제11권1호
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• pp.207-230
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• 2011

이 논문의 목적은 지역 내 기록유산기관들의 협력을 기반으로 하는 Cox의 로컬리티 기록화 모형의 한계를 극복하고 디지털 환경에 맞는 새로운 방안을 제시하는 것이다. 이를 위해 국내외에서 이루어지고 있는 로컬리티 기록화와 관련한 접근방법을 4가지로 유형화하여 분석하였다. 이를 토대로 특히 공간과 장소를 중심축으로 하는 기록화의 범주를 도출하고 참여와 협력을 통하여 로컬리티가 담긴 기록을 생산 수집할 수 있는 지속가능한 아카이브를 구축하기 위한 방향을 제안하였다.

• Communications for Statistical Applications and Methods
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• 제29권6호
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• pp.629-640
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• 2022

Variable selection is one of the most crucial tasks in supervised learning, such as regression and classification. The best subset selection is straightforward and optimal but not practically applicable unless the number of predictors is small. In this article, we propose directly solving the best subset selection via the genetic algorithm (GA), a popular stochastic optimization algorithm based on the principle of Darwinian evolution. To further improve the variable selection performance, we propose to run multiple GA to solve the best subset selection and then synthesize the results, which we call ensemble GA (EGA). The EGA significantly improves variable selection performance. In addition, the proposed method is essentially the best subset selection and hence applicable to a variety of models with different selection criteria. We compare the proposed EGA to existing variable selection methods under various models, including linear regression, Poisson regression, and Cox regression for survival data. Both simulation and real data analysis demonstrate the promising performance of the proposed method.