8,666,935 research outputs found
Dr. J. Clayton Feaver
No full textLetter to Dr. Feaver from Mac McGalliard, May 7, 1970. In the letter Dr. Feaver is thanked for speaking at the Goddard Center and invited to return again. 1 page, carbon cop
Dr. J. Clayton Feaver
No full textNote from Dr.Feaver to Mac McGalliard, Jan. 30, 1970. In the note Dr. Feaver agrees that March 18 would be an acceptable date for his lecture. 1 page, typed, additional notes by McGalliard are on the memo
Joshua Davis: Author of Spare Parts
No full textCitation: K-State First (2016). Joshua Davis: Author of Spare Parts [Flier]. Manhattan, Kansas: K-State First.Flyer advertising Joshua Davis's author talk at Kansas State University
Dr. J. Clayton Feaver
No full textNotes made by Mac McGalliard during the lecture given by Dr. Feaver at the Goddard Center, May 5, 197
Spider
No full textThis is the author accepted manuscript. The final version is available from the Kenyon Review via the link in this recordShort stor
Steven Johnson Author Talk Poster
No full textK-State Book NetworkA poster advertising an author talk by Steven Johnson at Kansas State University on September 3, 2014. Steven Johnson's book "The Ghost Map" was the 2014-2015 common book
Geometric characterization and simulation of planar layered elastomeric fibrous biomaterials
No full textAn important class of biomaterials is composed of layered networks of elastomeric fibers. While there is a growing interest in modeling and simulation of the mechanical response of these biomaterials, a theoretical foundation for such simulations has yet to be firmly established. The present work addresses this issue in two ways. First, using methods of geometric probability we develop theoretical estimates for the linear and areal fiber intersection densities for two-dimensional fibrous networks. These are expressed in terms of the fiber density and orientation distribution function, both of which are relatively easy to measure properties. Secondly, we develop a random walk algorithm for geometric simulation of two-dimensional fibrous networks which can accurately reproduce prescribed fiber density and orientation distribution function. Furthermore, the linear and areal fiber intersection densities obtained with the algorithm are in agreement with the theoretical estimates. Both theoretical and computational results are compared with those obtained by post-processing of SEM images of actual scaffolds. These comparisons reveal difficulties inherent to resolving fine details of multilayered fibrous networks. We also note that one should think not in terms of sufficiently large specimens for analysis, but rather sufficiently fiber-filled specimens. Correctly identifying and matching key geometric features is a critically important first step for performing reliable mechanical simulations. The methods provided herein can provide a rational means to define and generate key geometric features from scaffold structural data
Replication Data for Thanks For Your Service and Technical Appendix
No full textReplication Data for Thanks For Your Service (Oxford University Press, 2023).
Technical Appendix for Thanks For Your Service (Oxford University Press, 2023
Shannon Snow, soprano; Paul Feaver, tenor; Leslee Heys, piano; Katie Fang, piano
No full textShannon Snow, soprano; Paul Feaver, tenor; Leslee Heys, piano; Katie Fang, pianoShannon Snow et al: presented in partial fulfilment of the requirements for Music 440B. -- Katie Fang: presented in partial fulfilment of the requirements for Music 345B
Dexter Dalwood in conversation with William Feaver
No full textDexter Dalwood’s paintings sometimes depict imagined spaces inhabited by politicians, philosophers, celebrities and other figureheads. These compositions include interjections of imagery that create unconventional combinations of space and architecture. Whilst some works inhabit a dark and sinister geometrical headspace, others can depict the opposite – that of a bright and airy interior. Dalwood has had a solo show at Tate St. Ive’s, was nominated for the Turner prize, and is represented by Gagosian Gallery
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