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감성소재 PET 絲(사)의 계측방법에 따른 열 수축률 변화
김승진 ( Seung Jin Kim ),박경순 ( Kyung Soon Park ),유지수 ( Zi Su Yu ),홍성대 ( Sung Dae Hong ),서봉기 ( Bong Ki Seo ),김연숙 ( Yeon Suk Kim ),심승범 ( Seung Bum Sim ),김소연 ( So Yeon Kim ),박미영 ( Mi Young Park ) 한국감성과학회 2001 추계학술대회 Vol.2001 No.-
본 연구는 국내 7개 회사와 일본과 타이완 기업에서 만들어진 PET POY 사의 습열과 건축수축률을 연구하였다. 이들 사(絲)의 열적수축률들은 hank방법 (KSK 0215)과 Toray FTA-500 장치를 사용하여 측정되었으며 측정된 데이터는 측정방법에 따라 분석되고 토의되어졌다. 준비된 시료는 PET POY 85d/72f와 120d/35f이며 더구나 250d/48f와 155d/50f PET POY가 일본과 국내사 사이의 습열과 건열수축률의 비교를 위해서 역시 준비되어졌다. 그리고 각 시료들의 습열과 건열수축률들은 원사 케이크 내의 사(絲), 50,000m를 1개의 layer로 각각 나누어 각각의 layer 별로 측정되어졌으며 급내와 급간 열수축률이 측정 분석되었으며 국내와 외국 수입사(絲)에 따른 차이를 hank와 Toray 측정방법에 따라 분석하였다.
PPRODO: Prediction of protein domain boundaries using neural networks
Sim, Jaehyun,Kim, Seung-Yeon,Lee, Jooyoung Wiley Subscription Services, Inc., A Wiley Company 2005 Proteins Vol.59 No.3
<P>Successful prediction of protein domain boundaries provides valuable information not only for the computational structure prediction of multidomain proteins but also for the experimental structure determination. Since protein sequences of multiple domains may contain much information regarding evolutionary processes such as gene–exon shuffling, this information can be detected by analyzing the position-specific scoring matrix (PSSM) generated by PSI-BLAST. We have presented a method, PPRODO (Prediction of PROtein DOmain boundaries) that predicts domain boundaries of proteins from sequence information by a neural network. The network is trained and tested using the values obtained from the PSSM generated by PSI-BLAST. A 10-fold cross-validation technique is performed to obtain the parameters of neural networks using a nonredundant set of 522 proteins containing 2 contiguous domains. PPRODO provides good and consistent results for the prediction of domain boundaries, with accuracy of about 66% using the ±20 residue criterion. The PPRODO source code, as well as all data sets used in this work, are available from http://gene.kias.re.kr/∼jlee/pprodo/. Proteins 2005. © 2005 Wiley-Liss, Inc.</P>
Effects of Unripe Citrus Extracts on Ultraviolet B-Induced Skin Damage in Hairless Mice
Seung-Hyun Choi,Sun-Il Choi,Tae-Dong Jung,Bong-Yeon Cho,Wan-Sup Sim,Han-Xionggao,Jin-Ha Lee,Seung-Hyung Kim,Seon-A Yoon,Young-Min Ham,Weon-Jong Yoon,Ju-Hyun Cho,Ok-Hwan Lee 한국식품영양과학회 2017 한국식품영양과학회 학술대회발표집 Vol.2016 No.10
Mycophenolate mofetil as an alternative treatment for autoimmune hepatitis
( Seung Woon Park ),( Soon Ho Um ),( Han Ah Lee ),( Sang Hyun Kim ),( Yura Sim ),( Sun Young Yim ),( Yeon Seok Seo ),( Ho Sang Ryu ) 대한간학회 2016 Clinical and Molecular Hepatology(대한간학회지) Vol.22 No.2
Autoimmune hepatitis (AIH) is an immune-mediated chronic liver disease characterized by hepatocellular inflammation, necrosis, and fibrosis, which can progress to cirrhosis and fulminant hepatic failure. The standard treatment for AIH includes corticosteroids alone or in combination with azathioprine. Although most patients achieve remission using the standard regimen, some patients do not respond due to either drug intolerance or refractory disease; in such cases alternative immunosuppressive agents should be explored. The second-line therapies are cyclophilin inhibitors such as cyclosporine A or tacrolimus, and nowadays mycophenolate mofetil (MMF) is widely used if azathioprine-based therapies are not tolerated. Although these are recommended as an alternative to the first-line regimen, there is insufficient evidence for the efficacy of second-line therapies, with the evidence based mainly on expert opinion. Therefore, we report an AIH patient receiving the standard regimen in whom remission did not occur due to side effects to azathioprine, but was successfully treated with MMF in combination with corticosteroids as an alternative to the standard regimen. (Clin Mol Hepatol 2016;22:281-285)
Prediction of protein solvent accessibility using fuzzy <i>k</i>-nearest neighbor method
Sim, Jaehyun,Kim, Seung-Yeon,Lee, Julian Oxford University Press 2005 Bioinformatics Vol.21 No.12
<P><B>Motivation:</B> The solvent accessibility of amino acid residues plays an important role in tertiary structure prediction, especially in the absence of significant sequence similarity of a query protein to those with known structures. The prediction of solvent accessibility is less accurate than secondary structure prediction in spite of improvements in recent researches. The <I>k</I>-nearest neighbor method, a simple but powerful classification algorithm, has never been applied to the prediction of solvent accessibility, although it has been used frequently for the classification of biological and medical data.</P><P><B>Results:</B> We applied the fuzzy <I>k</I>-nearest neighbor method to the solvent accessibility prediction, using PSI-BLAST profiles as feature vectors, and achieved high prediction accuracies. With leave-one-out cross-validation on the ASTRAL SCOP reference dataset constructed by sequence clustering, our method achieved 64.1% accuracy for a 3-state (buried/intermediate/exposed) prediction (thresholds of 9% for buried/intermediate and 36% for intermediate/exposed) and 86.7, 82.0, 79.0 and 78.5% accuracies for 2-state (buried/exposed) predictions (thresholds of each 0, 5, 16 and 25% for buried/exposed), respectively. Our method also showed slightly better accuracies than other methods by about 2–5% on the RS126 dataset and a benchmarking dataset with 229 proteins.</P><P><B>Availability:</B> Program and datasets are available at http://biocom1.ssu.ac.kr/FKNNacc/</P><P><B>Contact:</B> jul@ssu.ac.kr</P>