http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
오늘 본 자료
Prediction of Tuberculosis Burden with a Deterministic Compartmental Model in South and North Korea
( Youngmok Park ),( Hyunwoo Cho ),( Jeehyun Lee ),( Hee Jin Kim ),( Young Ae Kang ) 대한결핵 및 호흡기학회 2020 대한결핵 및 호흡기학회 추계학술대회 초록집 Vol.128 No.-
Background South Korea has an intermediated burden of tuberculosis (TB), and North Korea is one of the high-burden countries in the world. Methods We designed a deterministic compartment model of drug-susceptible TB (DS-TB) and multi-drug resistant TB (MDR-TB), based on the reported cases of South Korea. TB burden in 2040 was predicted according to TB control strategies: latent TB infection (LTBI) treatment, rapid diagnosis, active case finding, and treatment success rate improvement. North Korea’s burden was also estimated. Results Compared to 2018, the estimated reports of DS-TB and MDR-TB patients in 2040 would be lessened to 25,995 (-17%) and 514 (-18%), respectively, in South Korea. The TB control strategies would decrease the estimated patients: LTBI treatment ― 7% of DS-TB and 7% of MDR-TB; rapid diagnosis ― 1% of DS-TB and 24% of MDR-TB; active case finding ― 26% of DS-TB and 66% of MDR-TB; improving the treatment success rate ― 2% of DS-TB and 21% of MDR-TB. In North Korea, the estimated reports of DS-TB and MDR-TB patients in 2040, compared to 2018, would be expected as 76,375 (-5%) and 6,678 (+40%), respectively. The TB control strategies would moderate the estimated burden: LTBI treatment ― 24% of DS-TB and 53% of MDR-TB; rapid diagnosis ― 1% of DS-TB and 30% of MDR-TB; active case finding ― 20% of DS-TB and 36% of MDR-TB; improving the treatment success rate ― 10% of DS-TB and 34% of MDR-TB. Conclusion The TB burden of South and North Korea were calculated with a deterministic compartment model; the TB control strategies would lower the burden in both countries.
Sukwoo Jung,Youngmok Cho,Kyung-Taek Lee,Minho Chang 한국정밀공학회 2021 International Journal of Precision Engineering and Vol.22 No.6
This paper describes a new method for the moving object detection using the IMU sensor and instance image segmentation. In the proposed method, the feature points are extracted by the detector, and the initial fundamental matrix is calculated from the IMU data. Next, the epipolar line is used to classify the extracted feature points. From the background feature point matching, fundamental matrix is calculated iteratively to minimize the error of classification. After the feature point classification, image segmentation is used to enhance the quality of the classification result. The proposed method is implemented and tested with real-world driving videos, and compared with the previous works.
Hee-Young Jang,Soo Jong Kwon,Ki-Hyun Kim,Keun-Yook Chung,Yong-Gu Cho,Jong-Soon Choi,YoungMok Park,Setsuko Komatsu,Sun-Hee Woo 한국육종학회 2012 한국육종학회 심포지엄 Vol.2012 No.07
Recently, proteome analysis is becoming a powerful tool for the functional characterization of plants. Due to the availability of vast nucleotide sequence information and based on the progress achieved in sensitive and rapid protein identification by mass spectrometry, proteome approaches open up now perspectives to analyze the complex functions of model crop species at different level. In this study, we have N-terminal sequencing data for the 100 embryo and 53 seed proteins of rice separated by two-dimensional polyacrylamide gel electrophoresis (2D-PAGE) were collected and systematically organized for a protein sequence data-file. An attempt was made to link the embryo proteins of rice to DNA sequences for understanding their functions. One hundred proteins of the 700 spots were detected in the embryo using 2-DE gels whereas we used micro sequenced. Of these, 28% of the embryo proteins were matched to DNA sequences with known functions, but 72% of the proteins were identified to be unknown functions as previously reported by Woo et al.,. In addition, twenty-four spots of protein with 100% of homology and nine with over 80% were matched to ESTs (expressed sequence tags) after expanding the amino acid sequences of the protein spots by Database searches using the available EST databases of rice at the NCBI (http://www/ncbi.nlm.nih.gov/) and DDBJ (http://www.ddbj.nig.ac.jp/). Also, a total of 53 proteins out of 700 protein spots separated on the 2-DE gels were analyzed by the peptide mass fingerprinting method (MALDI-TOF/MS). High-quality mass spectra suitable for peptide mass fingerprinting were obtained from 41 spots. Using the ESI-Q-TOF/MS, however, we were able to identify 53 seed proteins of rice, including 12 proteins not registered in database. The rapid expansion of DNA sequence databases to the utilization of EST now provides the whole or partial gene sequences of model organisms, and the recent advances in protein micro-characterization by mass spectrometry allow the possibility of linking these DNA sequences to the proteins in functional complexes. Proteome Database of rice is updated, and is available on the World Wide Web at http://gene64.rda.affrc.go. This work shows that the proteome analysis could be a useful strategy to link the sequence information to the functional genomics.