• Journal of Chest Surgery
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• 제29권9호
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• pp.989-995
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• 1996

체외순환을 이용한 개심술후 혈소판기능부전에 의한 비정상적인 출혈은 수술 사망율 및 이환율의 증가를 초래한다. 본 논문에서는 체외순환시 aprotinin을 투여하여 임상적 지혈 및 혈소판기능보존에 대한 효과를 관찰하기 위해 인공판막치 환술을 받은 40명의 환자를 대상으로 low-dose aprotinln 투여군 20명, 대조군 20명으로 나누어 그 효과를 비교 분석하였다. Aprotinin 투여군에서 대조군에 비해 약 40%의 출혈감소(622.0$\pm$ 186m1 versus 1021 $\pm$483.5ml, p<0.01) 및 약 63%의 혈색소 손실(14.7 $\pm$6.8g versus 39.7$\pm$ 16.4g, p<0.01)을 줄일 수 있었으며 약 70%의 수혈감 소(197.7$\pm$ 56.3ml versus 651.2 $\pm$ 147.5ml, p<0.01) 효과를 얻을 수 있었다. 또한 투여 군에서 혈소판 응집 능이 효과적으로 보존되었다(P<0.05). 체외순환중 activated clotting time이 투여 군에서 연장되어 heparin의 항응고작용에 대해 상승효과가 있었으며 aprotinin의 투여와 관련된 합병증은 없었다. 이상의 결과에서 체외순환을 이용한 개심술에 있어서 low-dose aprotinin의 투여는 술후 출혈량 및 혈 액과 혈액제제의 사용감소에 효과가 있으며 이는 혈소판응집능의 효과적 \ulcorner보존에 의한 것으로 사료된다.

• 대한후두음성언어의학회지
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• 제10권1호
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• pp.5-11
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• 1999

최근 음성장애에 관한 관심이 높아지면서 성대질환 내지는 후두질환의 정확한 진단을 위한 발성기능의 측정이 더욱 중요시되기에 이르렀다 이에 본 연구에서는 정상 한국인 남자 81명, 여자 76명과 성대용종 환자 남자 78명, 여자 65명을 대상으로 공기역학적 검사 중 컴퓨터화된 측정기구와 기류저지법으로 최대발성지속시간, 발성기류량, 평균호기류율, 및 성문하압을 연령별 및 성별에 따라 평균치를 측정, 이를 비교 분석하였다. 최대발성지속시간은 정상인 남자가 20.6${\pm}$6.34초, 여자가 17.2${\pm}$4.20초였고, 성대용종 환자에서 남자가 13.1${\pm}$4.26초, 여자가 11.6${\pm}$4.43초였다. 평균호기류율은 정상인 남자가 170.0${\pm}$67.00ml/sec, 여자가 131.1${\pm}$49.03ml/sec였고, 성대용종 환자에서 남자가 255.7${\pm}$216.52ml/sec, 여자가 183.24${\pm}$107.16ml/sec였다. 발성기류량은 정상인 남자가 3179.0${\pm}$648.94ml. 여자가 2144.1${\pm}$650.81ml였고, 성대용종 환자에서 남자가 2905.8${\pm}$1295.35ml, 여자가 1904.4${\pm}$1068.59ml였다 성문하압은 정상인 남자가 4.0${\pm}$1.88cm$H_2O$, 여자가 3.5${\pm}$4.20cm$H_2O$였고, 성대용종 환자에서 남자가 4.2$\pm$1.48cm$H_2O$, 여자가 3.9${\pm}$1.12cm$H_2O$였다. 성대용종 환자에서 통계학적으로 유의성있게 최대발성지속시간은 감소하고, 평균호기류율은 증가하였으며, 발성기류량과 성문하압은 여자환자에서만 의미 있게 각각 감소하거나 증가하였다. 이상의 결과는 정상인과 성대용종 환자에 있어서 객관적인 공기역학적 검사결과를 보여주며 이는 성대용종 환자의 음성이상에 대한 상태판정이나 치료 후 효과 판정에 기본자료로 이용할 수 있을 것으로 생각된다.

• 대한한방소아과학회지
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• 제28권2호
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• pp.23-39
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• 2014

Objectives PRAL (Prunus armniaca Linne Var) is a herbal formula in Oriental Medicine, known for its anti-inflammatory and anti-allergenic properties. However, its mechanism of action and the cellular targets have not yet been found enough. The purpose of this study is to investigate the effects of PRAL on Th2 cytokines expression in MC/9 mast cells. Methods The effect of PRAL was analyzed by ELISA, Real-time PCR, Western blot in MC/9 mast cells. mRNA levels of GM-CSF, IL-4, IL-5, IL-6, IL-13, TNF-${\alpha}$ were analyzed with Real-time PCR. Levels of IL-13, MIP-$1{\alpha}$ were measured using enzyme-linked immunosorbent assays (ELISA). NFAT, AP-1 and NF-${\kappa}B$ p65 were examined by Western blot analysis. Results PRAL inhibited GM-CSF, IL-4, IL-5, IL-6, IL-13, TNF-${\alpha}$ mRNA expression in a dose dependent manner. GM-CSF, IL-4, IL-5 mRNA expression were inhibited significantly in comparison to DNP-IgE control group at concentration of 100 ${\mu}g/ml$ and IL-6, IL-13, TNF-${\alpha}$ mRNA expression were inhibited at concentration of 50 ${\mu}g/ml$, 100 ${\mu}g/ml$. PRAL also inhibited the IL-13, MIP-$1{\alpha}$ production significantly in comparison to DNP-IgE control group in a dose dependent manner. IL-13 production was inhibited at a concentration of 200 ${\mu}g/ml$, 400 ${\mu}g/ml$ and MIP-$1{\alpha}$ was inhibited at a concentration of 100 ${\mu}g/ml$, 200 ${\mu}g/ml$, 400 ${\mu}g/ml$. Western blot analysis of transcription factors involving Th2 cytokines expression revealed prominent decrease of the mast cell specific transcription factors including NFAT-1, c-Jun as well as NF-${\kappa}B$ p65 but not NFAT-2 and c-Fos. Conclusion These results indicate that PRAL has the effect of suppressing Th2 cytokines production in the MC/9 mast cells. These data represent that PRAL potentiates therapeutic activities to the allergic disease by regulating Th2 cytokines in the MC/9 mast cells.

• 생명과학회지
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• 제14권1호
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• pp.163-166
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• 2004

정수용 입상활성탄(Granular Activated Carbon, GAC)에서 발생하는 세균 생장 현상을 파악하기 위해 활성탄 칼럼을 제작하고, 수돗물을 고정식 상향류 방식으로 (EBCT = 0.92~1분) 통수시켰다. 봄에는 14일 동안 세균수의 파과(breakthrough) 현상이 없었다. 여름에는 야자계와 석탄계 활성탄 칼럼의 유출 세균수는 비슷하여 파과전에 $10^2$ CFU/ ml수준으로 유입수보다 낮았지만, 10일 이후 유출수가 $10^3$ CFU/ml 로 유입수의 $10^2$ CFU/ml보다 높은 값을 보였다. 칼럼 내부 4지점의 활성탄을 깊이에 따라 분석했을 때 유입수 유입부에 가까울수록 많은 세균수가 관찰되었고 세균군집의 활성은 유사하였다 성장하는 세균은 야자계와 석탄계 활성탄이 서로 달랐지만 Acinetobacter 속이 우점을 이루고 있는 것으로 나타났다.

• 미생물학회지
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• 제9권2호
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• pp.61-68
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• 1971

Borrelina virus was inoculated into Hyphantrea cunea DRURY in the labolatory and in the field. The pathogenecity of Borrelina virus upon Bompyx mori L. and Dendrolinus spectabilis BUTLER, too, was examined with following results. 1) $10^8$/ml, $10^7$/ ml, $10^6$/ml concentration of nuclear-polyhedrosis virus was inoculated into the larvae of H.cunea at various ages. The corrected mortality of the larvae were 97.4%, 95.2%, 94.7% in the 3rd instar, and 88.6%, 73.6%, 62.5% in the 6th instar, respectively, with three different concentration of NPV. 2) The symptom of disease of the larvae appeared on 4days after inoculation and most of the larvae were dead within 18 days. 3) The youngest larvae treated with the highest concentration of NPV showed the highest mortality. With older larvae and lower concentriton treated, it appeared that the time needed for death grew longer, marking slower death curve. 4) When we sprayed NPV of $10^6$/ml concentration to H. cunea in the field, the mortality was 94.8% in the first year, 84.6% in the second year and 78.3% in third year. By this, we could admit the continuous effects of the pathogens for several years. 5) About the larvae of B. mori of 3rd and 5th instar and D.spectabilis of 3rd instar inoculated with $10^8$/ml concentration of inoclum, we could not see any pathogenic effects.

• 한국전기전자재료학회논문지
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• 제28권9호
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• pp.587-592
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• 2015

In this study, the electrification voltage of electrostatics for silicone rubber sample($4cm{\times}4cm{\times}0.103cm$) following immersion with contaminants of 2 ml, 5 ml, 10 ml for six hours has been measured in through the applied voltage of 10 kV DC at temperature of $80^{\circ}C{\sim}110^{\circ}C$, humidity of 50%~90%. The results of this study are as follows. In case the contaminants is constant, it found that the electrification voltage of electrostatic decreased with increasing temperature and humidity to $35^{\circ}C$, 90%. In case of 2 ml of contaminants concentration, it found that the electrification voltage of electrostatic decreased with increasing temperature and humidity to $35^{\circ}C$, 50%. In case of the sample at temperature of $15^{\circ}C$ and humidity of 50%, it found that the electrification voltage of electrostatic decreased with increasing contaminants to 10 ml.

• Nuclear Engineering and Technology
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• 제53권11호
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• pp.3563-3579
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• 2021

Measured decay heat data of light water reactor (LWR) spent nuclear fuel (SNF) assemblies are adopted to train machine learning (ML) models. The measured data is available for fuel assemblies irradiated in commercial reactors operated in the United States and Sweden. The data comes from calorimetric measurements of discharged pressurized water reactor (PWR) and boiling water reactor (BWR) fuel assemblies. 91 and 171 measurements of PWR and BWR assembly decay heat data are used, respectively. Due to the small size of the measurement dataset, we propose: (i) to use the method of multiple runs (ii) to generate and use synthetic data, as large dataset which has similar statistical characteristics as the original dataset. Three ML models are developed based on Gaussian process (GP), support vector machines (SVM) and neural networks (NN), with four inputs including the fuel assembly averaged enrichment, assembly averaged burnup, initial heavy metal mass, and cooling time after discharge. The outcomes of this work are (i) development of ML models which predict LWR fuel assembly decay heat from the four inputs (ii) generation and application of synthetic data which improves the performance of the ML models (iii) uncertainty analysis of the ML models and their predictions.

• Computers and Concrete
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• 제32권3호
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• pp.233-246
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• 2023

Accurate prediction of concrete compressive strength can minimize the need for extensive, time-consuming, and costly mixture optimization testing and analysis. This study attempts to enhance the prediction accuracy of compressive strength using stacking ensemble machine learning (ML) with feature engineering techniques. Seven alternative ML models of increasing complexity were implemented and compared, including linear regression, SVM, decision tree, multiple layer perceptron, random forest, Xgboost and Adaboost. To further improve the prediction accuracy, a ML pipeline was proposed in which the feature engineering technique was implemented, and a two-layer stacked model was developed. The k-fold cross-validation approach was employed to optimize model parameters and train the stacked model. The stacked model showed superior performance in predicting concrete compressive strength with a correlation of determination (R²) of 0.985. Feature (i.e., variable) importance was determined to demonstrate how useful the synthetic features are in prediction and provide better interpretability of the data and the model. The methodology in this study promotes a more thorough assessment of alternative ML algorithms and rather than focusing on any single ML model type for concrete compressive strength prediction.

• International Journal of Computer Science & Network Security
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• 제23권11호
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• pp.183-189
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• 2023

A stroke is a medical disease where a blood vessel in the brain ruptures, causes damage to the brain. If the flow of blood and different nutrients to the brain is intermittent, symptoms may occur. Stroke is other reason for loss of life and widespread disorder. The prevalence of stroke is high in growing countries, with ischemic stroke being the high usual category. Many of the forewarning signs of stroke can be recognized the seriousness of a stroke can be reduced. Most of the earlier stroke detections and prediction models uses image examination tools like CT (Computed Tomography) scan or MRI (Magnetic Resonance Imaging) which are costly and difficult to use for actual-time recognition. Machine learning (ML) is a part of artificial intelligence (AI) that makes software applications to gain the exact accuracy to predict the end results not having to be directly involved to get the work done. In recent times ML algorithms have gained lot of attention due to their accurate results in medical fields. Hence in this work, Stroke disease identification system by using Machine Learning algorithm is presented. The ML algorithm used in this work is Artificial Neural Network (ANN). The result analysis of presented ML algorithm is compared with different ML algorithms. The performance of the presented approach is compared to find the better algorithm for stroke identification.

• Toxicological Research
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• 제25권4호
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• pp.181-188
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• 2009

Uncontrolled cell growth and increased cell proliferation are major features of cancer that are dependent on the stable structure and dynamics of the cytoskeleton. Since stable cytoskeleton structure and dynamics are partly regulated by myosin light chain kinase (MLCK), many current studies focused on MLCK inhibition as a chemotherapeutic target. As a potent and selective MLCK inhibitor, ML-7 [1-(5-iodonaphthalene-1-sulfonyl)-1 H-hexahydro-1,4-diazapine hydrochloride] is a promising candidate for an anticancer agent, which would induce apoptosis as well as prevents invasion and metastasis in certain types of cancer cells. This study assessed cytotoxic effects of ML-7 against HL-60 cells and therapeutic efficacy of ML-7 as a potential antileukemia agent. Trypan-blue exclusion assays showed dose- and time- dependent decreases in ML-7 treated HL-60 cells (p<0.05). Comet assays revealed a significant increase in DNA damage in HL-60 cells after treatment with $40{\mu}M$ ML-7 for 2h. Sub-G1 fractions, analyzed by flow cytometry increased in a dose-dependent manner, suggesting that ML-7 can induce apoptotic cell death in HL-60 cells. ML-7 was selectively cytotoxic towards HL-60 cells; not affecting normal human lymphocytes. That selective effect makes it a promising potential anti-leukemia agent. In addition, anticancer efficacy of ML-7 in combination with flavonoids (genistein or quercetin) or anticancer drugs (cisplatin or Ara-C) against HL-60 cells was assessed. Combination of ML-7 with flavonoids increased the anti-cancer effect of ML-7 to a greater extent than combination with the anticancer drugs. This implies that ML-7 in combination with flavonoids could increase the efficacy of anticancer treatment, while avoiding side effects cansed by conventional anticancer drug-containing combination chemotherapy.