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Sagara Sumathipala,Koichi Yamada,Muneyuki Unehara,Izumi Suzuki 한국지능시스템학회 2015 INTERNATIONAL JOURNAL of FUZZY LOGIC and INTELLIGE Vol.15 No.2
Protein named entity identification is one of the most essential and fundamental predecessor for extracting information about protein-protein interactions from biomedical literature. In this paper, we explore the use of abstracts of biomedical literature in MEDLINE for protein name identification and present the results of the conducted experiments. We present a robust and effective approach to classify biomedical named entities into protein and non-protein classes, based on a rich set of features: orthographic, keyword, morphological and newly introduced Protein-Score features. Our procedure shows significant performance in the experiments on GENIA corpus using Random Forest, achieving the highest values of precision 92.7%, recall 91.7%, and F-measure 92.2% for protein identification, while reducing the training and testing time significantly.
Tribological Properties of Co-Sputtered MOS₂ Films
K. SAGARA,T. YAMAZAKI,M. NISHIMURA 한국트라이볼로지학회 2002 한국트라이볼로지학회 학술대회 Vol.2002 No.10
Tribological properties of co-sputtered Molybdenum disulfide (MoS₂)/Carbon (C) films were studied and compared with those of sputtered MoS₂ films. Friction tests were carried out using pin-on-disk friction testers to evaluate their friction and wear behaviors in a vacuum (10?? ㎩), air and humid air of 30, 50, 80% RH. MoS₂/C (14%) composite films exhibited about 9 times longer wear life in a vacuum and about 6 times longer wear life in dry air than MoS₂ films did. They also showed stable low friction coefficient of about 0.02 in a vacuum. In humid air, however, MoS₂/C composite films hardly showed good tribological properties.