997 resultados para Owen, John, 1616-1683


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Mode of access: Internet.

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Mode of access: Internet.

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Back Row: Al Lubina, Jack Clements, Tom Skimming, Dick Flodin, Stan Menees, Ken Bottom, Danny Walter, George Gluppe

Third Row: asst. coach Elmer Swanson, trainer Lenny Paddock, Laird Sloan, Hobart Jones, Ron Kramer, Dave Owen, John Johnson, Jack Rose, manager George Aster,

Second Row: Jeff Dooley, Bob Appleman, Peter Gray, Howard Liverance, Dave Hessler, Tom Hendricks, Mark Booth, Bob Brown

Front Row: Junior Stielstra, Jim Love, Ron Wallingford, head coach Don Canham, captain John Moule, Grant Scruggs, John Vallortigara

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Bibliographie des travaux de Fermat avant les publications de son fils.--Le Diophante de Samuel Fermat (1670)--L'edition des Varia opera (1679)--Les autographes de Fermat.--Le premier projet d'édition complète et les papiers de Libri.--Le manuscrit Arbogast-Boncompagni.--Le manuscrit Vicq-d'Azyer-Boncompagni.--Les manuscrits de la Nationale, etc.: v.1, p. [ix]-xxxii.

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Signatures: A-I¹² (-A¹²), K⁶.

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The Prometheus vinctus of Aeschylus.--The book of Job.--Goethe's Faust.--Shakespeare's Hamlet.--"El magico prodigioso."

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A visualization plot of a data set of molecular data is a useful tool for gaining insight into a set of molecules. In chemoinformatics, most visualization plots are of molecular descriptors, and the statistical model most often used to produce a visualization is principal component analysis (PCA). This paper takes PCA, together with four other statistical models (NeuroScale, GTM, LTM, and LTM-LIN), and evaluates their ability to produce clustering in visualizations not of molecular descriptors but of molecular fingerprints. Two different tasks are addressed: understanding structural information (particularly combinatorial libraries) and relating structure to activity. The quality of the visualizations is compared both subjectively (by visual inspection) and objectively (with global distance comparisons and local k-nearest-neighbor predictors). On the data sets used to evaluate clustering by structure, LTM is found to perform significantly better than the other models. In particular, the clusters in LTM visualization space are consistent with the relationships between the core scaffolds that define the combinatorial sublibraries. On the data sets used to evaluate clustering by activity, LTM again gives the best performance but by a smaller margin. The results of this paper demonstrate the value of using both a nonlinear projection map and a Bernoulli noise model for modeling binary data.

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Combinatorial libraries continue to play a key role in drug discovery. To increase structural diversity, several experimental methods have been developed. However, limited efforts have been performed so far to quantify the diversity of the broadly used diversity-oriented synthetic (DOS) libraries. Herein we report a comprehensive characterization of 15 bis-diazacyclic combinatorial libraries obtained through libraries from libraries, which is a DOS approach. Using MACCS keys, radial and different pharmacophoric fingerprints as well as six molecular properties, it was demonstrated the increased structural and property diversity of the libraries from libraries over the individual libraries. Comparison of the libraries to existing drugs, NCI Diversity and the Molecular Libraries Small Molecule Repository revealed the structural uniqueness of the combinatorial libraries (mean similarity < 0.5 for any fingerprint representation). In particular, bis-cyclic thiourea libraries were the most structurally dissimilar to drugs retaining drug-like character in property space. This study represents the first comprehensive quantification of the diversity of libraries from libraries providing a solid quantitative approach to compare and contrast the diversity of DOS libraries with existing drugs or any other compound collection.

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The automotive industry combines a multitude of professionals to develop a modern car successfully. Within the design and development teams the collaboration and interface between Engineers and Designers is critical to ensure design intent is communicated and maintained throughout the development process. This study highlights recent industry practice with the emergence of Concept Engineers in design teams at Jaguar Land Rover Automotive group. The role of the Concept Engineer emphasises the importance of the Engineering and Design/Styling interface with the Concept engineer able to interact and understand the challenges and specific languages of each specialist area, hence improving efficiency and communication within the design team. Automotive education tends to approach design from two distinct directions, that of engineering design through BSc courses or a more styling design approach through BA and BDes routes. The educational challenge for both types of course is to develop engineers and stylist's who have greater understanding and experience of each other's specialist perspective of design and development. The study gives examples of two such courses in the UK who are developing programmes to help students widen their understanding of the engineering and design spectrum. Initial results suggest the practical approach has been well received by students and encouraged by industry as they seek graduates with specialist knowledge but also a wider appreciation of their role within the design process.