• Korean Journal of Clinical Laboratory Science
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• v.55 no.1
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• pp.45-51
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• 2023

Canine parvovirus type 2 (CPV-2) and canine coronavirus (CCoV) are major pathogens that can induce gastroenteritis in dogs. They are highly contagious and have a high morbidity rate. There are no specific treatments available for them to date. Therefore, rapid and accurate diagnosis becomes essential. The rapid diagnostic test (RDT) for animals can be used widely in the field because it is fast and easy to use for diagnosis. Thus, this study aimed to clinically evaluate and confirm the clinical utility of CPV-2/CCoV RDT. The parameters evaluated included the limit of detection (LoD), cross-reactivity, interference, sensitivity, specificity, negative likelihood ratio (NLR), and kappa value. The results revealed that the LoD values for CPV-2 and CCoV were 9.7×10 50% tissue culture infectious dose (TCID₅₀)/mL and 2.5×10² TCID₅₀/mL, respectively. There was no cross-reactivity with nine pathogens or interference by interfering materials. The RDT showed a sensitivity of 90.0%, a specificity of 100.0%, NLR of 0.1, and a kappa value of 0.90 for diagnosing both viruses. In conclusion, CPV-2/CCoV RDT is useful as a screening test because of its high sensitivity, specificity, kappa value, and low NLR.

• Archives of Pharmacal Research
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• v.29 no.7
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• pp.591-597
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• 2006

Aerial parts of Artemisia asiatica (Compositae) have been traditionally used as an oriental medicine for the treatment of inflammatory and ulcerogenic diseases. In the present study, artemisolide was isolated as a nuclear factor $(NF)-{\kappa}B$ inhibitor from A. asiatica by activity-guided fractionation. Artemisolide inhibited $NF-{\kappa}B$ transcriptional activity in lipopolysaccharide (LPS)-stimulated macrophages RAW 264.7 with an $IC_{50}$ value of $5.8\;{\mu}M$. The compound was also effective in blocking $NF-{\kappa}B$ transcriptional activities elicited by the expression vector encoding the $NF-{\kappa}B$ p65 or p50 subunits bypassing the inhibitory kB degradation signaling $NF-{\kappa}B$ activation. The macrophages markedly increased their $PGE_2$ and NO production upon exposure to LPS alone. Artemisolide inhibited LPS-induced $PGE_2$ and NO production with $IC_{50}$ values of $8.7\;{\mu}M$ and $6.4\;{\mu}M$, respectively, but also suppressed LPS-induced synthesis of cyclooxygenase (COX)-2 or inducible NO synthase (iNOS). Taken together, artemisolide is a $NF-{\kappa}B$ inhibitor that attenuates LPS-induced production of $PGE_2$ or NO via down-regulation of COX-2 or iNOS expression in macrophages RAW 264.7. Therefore, artemisolide could represent and provide the anti-inflammatory principle associated with the traditional medicine, A. asiatica.

• The Journal of the Korea Contents Association
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• v.12 no.6
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• pp.353-360
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• 2012

The purpose of this study was to determine whether there are relationships between radiologic parameters for osteoporosis by the proximal femur radiograhps and bone mineral density, as assessed by Dual Energy X-ray Absorptiometry(DEXA). Proximal femur anterior-posterior projection were taken from 112 individuals who undergoing DEXA. Radiographic parameters including canal-to-calcar ratio(CCR) and cortical thickness indices(CTI) were measured and compared with bone mineral density($g/cm^2$), T-score. The intramedullary femoral canal width(FW) and calcar width(CW) at osteoporosis group was significantly larger than that of control group. The CCR were correlated negatively with bone mineral density($g/cm^2$)(r=-0.340, p<0.01), and the CTI were correlated positively(r=0.624). The diagnostic accuracy of CCR for osteoporosis was 63.4%, and kappa value was 0.271. And the accuracy of CTI was 67.0%, and kappa value was the level of fair agreement(${\kappa}$=0.258). The proximal femur with large CCR and small CTI had lower T-scores. When evaluating proximal femur anterior-posterior radiographs, those patients with the thinnest femur diaphyseal cortices should be referred for further osteoporosis investigation.

• BMB Reports
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• v.47 no.8
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• pp.451-456
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• 2014

Parthenolide, a natural product derived from Feverfew, prevents septic shock and inflammation. We aimed to identify the effects of parthenolide on the RANKL (receptor activator of $NF-{\kappa}B$ ligand)-induced differentiation and bone resorbing activity of osteoclasts. In this study, parthenolide dose-dependently inhibited RANKL-mediated osteoclast differentiation in BMMs, without any evidence of cytotoxicity and the phosphorylation of p38, ERK, and $I{\kappa}B$, as well as $I{\kappa}B$ degradation by RANKL treatment. Parthenolide suppressed the expression of NFATc1, OSCAR, TRAP, DC-STAMP, and cathepsin K in RANKL-treated BMMs. Furthermore, parthenolide down-regulated the stability of c-Fos protein, but could not suppress the expression of c-Fos. Overexpression of NFATc1 and c-Fos in BMMs reversed the inhibitory effect of parthenolide on RANKL-mediated osteoclast differentiation. Parthenolide also inhibited the bone resorbing activity of mature osteoclasts. Parthenolide inhibits the differentiation and bone-resolving activity of osteoclast by RANKL, suggesting its potential therapeutic value for bone destructive disorders associated with osteoclast-mediated bone resorption.

• Journal of IKEEE
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• v.3 no.1 s.4
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• pp.109-117
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• 1999

This paper describes the quick and precise control of the wafer temperature essential in rapid thermal processing(RTP). The bang-bang plus PID controller structure is introduced to satisfy rapid ramp-up rate and reduce overshoot and steady state error. The controller employs the PID action when the magnitude of the error between reference signal and the output temperature signal is smaller than some prescribed value. To find PID gains, the plant(autoregressive) model is first identified and Kappa-Tau tuning rule is used. The developed controller is applied to experimental RTP apparatus, and performances are evaluated.

• Journal of Sasang Constitutional Medicine
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• v.11 no.1
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• pp.159-168
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• 1999

Purpose : Sasang Constitutional Medicine explains the pathology peculiar to constitution and suggests treatment for each constitution. In Sasang Constitutional Medicine hwnan beings are classified on four groups; Taeyangin, Taeumin, 5oyangin, Soeumin. These four constitution has their's own symptoms and treatments. In treatment, control of mind inclination, that is to say, moderation takes a very important role. But the study on heredity in Sasang Constitutional Medicine has not done not biological study but also statistical study. So we used several statistical methods and analyzed 163 samples. Methods : We implemented Fishers exact test for adjusting chi-squared test, kappa coefficient to estimate agreement of parent's and children's constitutions, and finally plotted bi-plot using correspondence analysis. Results : From Fisher's exact test result, we could know that parent's and children'S constitution's distribution had significant difference. In kappa coefficient, mother and daughter's estimated value produced highest result. In correspondence analysis we only plotted the case of mother and son for easy interpretation. Conclusion : In the study of heredity of SaSang constitution, we cannot know exactly the heredity of constitution in terms of biology or genetics. But this research can be helpful for further analysis, that is, a study of biological or genetical aspects. And we could conclude that in statistical aspects the heredity in SaSang constitution is meaningful.

• Journal of Sasang Constitutional Medicine
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• v.24 no.2
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• pp.1-7
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• 2012

1. Objectives : In Sasang constitutional medicine, it has been known that diagnosing Sasang constitution correctly is mostly important. We had developed an Integrated Sasang Constitutional Analysis Tool (SCAT) ${\beta}$-version using face, voice, body shape and questionnaire before. The purpose of this study is to suggest whether SCAT ${\beta}$-version is reliable or not. 2. Methods : We collected 371 subjects from 6 oriental medical clinics. We analyzed the Sasang constitutional diagnostic results using Kappa and coincidence rates between experts in Sasang constitution and SCAT ${\beta}$-version which was developed on the basis of face, body shape, voice and characteristics and symptom questionnaire data. 3. Results : The agreement rates between SCAT ${\beta}$-version and experts was 69.3% in total, and 73.2%, in Taeeumin, 70.8% in Soeumin, and 56.9% in Soyangin in detailed. The Kappa was 0.510 (p value<.000). There was an increasing trend of agreement rates and kappa value corresponded to increasing constitutional probability. When The constitutional probabilities were changed from below 40%, to over 40%, 50%, 60%, the agreement rates corresponded from 50.8% to 79.5%, 91.4%, 95.7% respectively. 4. Conclusions : A SCAT combined with a constitutional probability seemed to help experts to diagnose a patient's Sasang constitution correctly.

• International Journal of Computer Science & Network Security
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• v.22 no.4
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• pp.193-202
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• 2022

The classification of hyperspectral imagery (HSI) is essential in the surface of earth observation. Due to the continuous large number of bands, HSI data provide rich information about the object of study; however, it suffers from the curse of dimensionality. Dimensionality reduction is an essential aspect of Machine learning classification. The algorithms based on feature extraction can overcome the data dimensionality issue, thereby allowing the classifiers to utilize comprehensive models to reduce computational costs. This paper assesses and compares two HSI classification techniques. The first is based on the Joint Spatial-Spectral Stacked Autoencoder (JSSSA) method, the second is based on a shallow Artificial Neural Network (SNN), and the third is used the SVM model. The performance of the JSSSA technique is better than the SNN classification technique based on the overall accuracy and Kappa coefficient values. We observed that the JSSSA based method surpasses the SNN technique with an overall accuracy of 96.13% and Kappa coefficient value of 0.95. SNN also achieved a good accuracy of 92.40% and a Kappa coefficient value of 0.90, and SVM achieved an accuracy of 82.87%. The current study suggests that both JSSSA and SNN based techniques prove to be efficient methods for hyperspectral classification of snow features. This work classified the labeled/ground-truth datasets of snow in multiple classes. The labeled/ground-truth data can be valuable for applying deep neural networks such as CNN, hybrid CNN, RNN for glaciology, and snow-related hazard applications.

• Korean Journal of Remote Sensing
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• v.31 no.4
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• pp.337-346
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• 2015

Water body extraction based on backscatter information is an essential process to analyze floodaffected areas from Synthetic Aperture Radar (SAR) image. Water body in SAR image tends to have low backscatter values due to homogeneous surface of water, while non-water body has higher backscatter values than water body. Non-water body, however, may also have low backscatter values in high resolution SAR image such as Kompsat-5 image, depending on surface characteristic of the ground. The objective of this paper is to present a method to increase backscatter contrast between water body and non-water body and also to remove efficiently misclassified pixels beyond true water body area. We create an entropy image using a Gray Level Co-occurrence Matrix (GLCM) and classify the entropy image into water body and non-water body pixels by thresholding of the entropy image. In order to reduce the effect of threshold value, we also propose Water Body Texture Index (WBTI), which measures simultaneously the occurrence of repeated water body pixel pair and the uniformity of water body in the binary entropy image. The proposed method produced high overall accuracy of 99.00% and Kappa coefficient of 90.38% in water body extraction using Kompsat-5 image. The accuracy analysis indicates that the proposed WBTI method is less affected by the choice of threshold value and successfully maintains high overall accuracy and Kappa coefficient in wide threshold range.

• Journal of Preventive Medicine and Public Health
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• v.42 no.4
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• pp.223-230
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• 2009

Objectives : This study was conducted to validate self-reported smoking among high school students using urinary cotinine. Methods : A self report of smoking behavior was collected together with urine sample for cotinine analysis from 130 male and female students in two vocational high school students in November, 2007. Validity and agreement between self-reported smoking and urinary cotinine was analyzed with STATA 9.0 for different definitions of current smokers, and frequent and daily smokers. Urinary cotinine concentration was measured by the DRI Cotinine Assay for urine (Microgenics Corp., Fremont, CA) on Toshiba 200FR. The cut-off point of urinary cotinine was 50 ng/dl. Results : The concentrations of urinary cotinine were significantly different according to the frequency and amount of smoking. Sensitivity and specificity was 90.9% and 91.8% respectively, and the Cohen s kappa value was 0.787 among the current smokers who smoked at least one day during one month preceding the survey. The comparable high sensitivity, specificity, and kappa value were shown also among the other definitions of current smokers, that is, subjective smokers, and weekly smokers. Conclusions : The results showed the high validity of self-reported smoking among high school students. However, due to the small sample size and limitation of the participants, it is cautious to generalize the results to overall high school students.