4,796 research outputs found
Bond parameters affecting to failure of co-cured single and double lap joints subjected to static and dynamic tensile loads
No full textRange Image Segmentation of Mechanical Parts by Locating Critical Points of One Dimensional Curves
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Effects of manufacturing parameters on the tensile load bearing capacity of a co-cured single lap joint with various manufacturing pressures in the au
No full textConway Pierce, F. Sherwood Rowland, K.C. Lee, and Alex Maradudin at ceremony, possibly convocation or commencement, ca. 1967
No full textHandwritten on slide: "Pierce, Sherry Rowland, K.C. Lee, Alex Maradudin"The original slides were collected or created by the UCI Strategic Communications Office. They were transferred to the UCI Libraries University Archives in multiple installments. The slides were scanned by the UCI Libraries
Conway Pierce, F. Sherwood Rowland, K.C. Lee, and Alex Maradudin at ceremony, possibly convocation or commencement, ca. 1967
No full textHandwritten on slide: "Pierce, Sherry Rowland, K.C. Lee, Alex Maradudin"The original slides were collected or created by the UCI Strategic Communications Office. They were transferred to the UCI Libraries University Archives in multiple installments. The slides were scanned by the UCI Libraries in 2014
PRTSM: Pattern recognition-based time series modeler
No full textIn this paper, a new approach using pattern recognition techniques is suggested for time series modeling which means identification of a time series into one of autoregressive moving-average models. Its main recipe is that pattern is derived from a time series and classified into a suitable model via a notion of pattern matching. The pattern is obtained from extended sample autocorrelations of the time series. The pattern recognition techniques used are learning and decision tree classifier. Learning is used in combination with linear discriminants whose goal is to discriminate one pattern from another. Decision tree classifier divides decision procedures involved in time series modeling into simpler and local decisions at each node of a decision tree. To facilitate complex tree search, knowledge-based approach is used. To implement the idea, a scheme of decision support system is employed to develop a prototype system named PRTSM (Pattern Recognition-based Time Series Modeler). Experimental results with several examples show that a pattern recognition-based approach can yield a promising solution to the time series modeling. © 1989 Kluwer Academic Publishers
Production of recombinant proteins by high cell density culture of Escherichia coli
No full textEscherichia coli has been the most widely used host for the production of recombinant proteins because it is the best characterized system in every aspect. Furthermore, the high cell density culture of recombinant E. coli has allowed production of various proteins with high yield and high productivities. Various cultivation strategies employing different host strains and expression systems have been successfully employed for the production of recombinant proteins. New strategies for strain improvement towards the goal of enhanced protein production are actively being developed based on high-throughput omics approaches such as transcriptomics and proteomcs. This paper reviews recent advances in the production of recombinant proteins by high cell density culture of E. coli. (c) 2005 Elsevier Ltd. All rights reserved.Our work described in this paper was supported by the
National Research Laboratory Program (2000-N-NL-01-C-
237) from the Ministry of Science and Technology. Further
supports by the KOSEF through the Center for Ultramicrochemical
Process Systems, IBM-SUR program, LG Chem
Chair Professorship, and by the BK21 program are greatly
appreciated
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