Thesis (Ph.D.)--Aberdeen University, 2008. / Title from web page (viewed on Mar. 2, 2009). Includes bibliographical references.

Thesis (Ph.D.) - University of St Andrews, October 2009.

Honors project (B.S.) -- Carson-Newman College, 2010. / Project advisor: Dr. Henry Suters. Includes bibliographical references (p. 40).

Thesis (M.S.)--University of Missouri-Columbia, 2005. / The entire dissertation/thesis text is included in the research.pdf file; the official abstract appears in the short.pdf file (which also appears in the research.pdf); a non-technical general description, or public abstract, appears in the public.pdf file. Title from title screen of research.pdf file viewed on (July 14, 2006). Includes bibliographical references.

Thesis (M.Sc.)--York University, 2005. Graduate Programme in Kinesiology and Health Science. / Typescript. Includes bibliographical references. Also available on the Internet. MODE OF ACCESS via web browser by entering the following URL: http://gateway.proquest.com/openurl?url%5Fver=Z39.88-2004&res%5Fdat=xri:pqdiss &rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&rft_dat=xri:pqdiss:MR11734

Thesis (Ph. D.)--Georgia State University, 2006. / Title from title screen. Donald H. Edwards, committee chair; Deborah J. Baro, co-chair; Charles D. Derby, Larry J. Young, committee members. Electronic text (182 p. : ill. (some col.)) : digital, PDF file. Description based on contents viewed May 21, 2007. Includes bibliographical references (p. 161-182).

No description available.

Thesis (Ph. D.)--University of Oregon, 2000. / Typescript. Includes vita and abstract. Includes bibliographical references (leaves 140-159). Also available for download via the World Wide Web; free to University of Oregon users.

The values of a given manipulator's dynamics coefficients need to be accurately identified in order to employ model-based algorithms in the control of its motion. This thesis details the development of a novel form of adaptive network which is capable of accurately learning the coefficients of systems, such as manipulator inverse dynamics, where the algebraic form is known but the coefficients' values are not. Empirical motion data from a pair of PUMA 560s has been processed by the Context-Sensitive Linear Combiner (CSLC) network developed, and the coefficients of their inverse dynamics identified. The resultant precision of control is shown to be superior to that achieved from employing dynamics coefficients derived from direct measurement. As part of the development of the CSLC network, the process of network learning is examined. This analysis reveals that current network architectures for processing analogue output systems with high input order are highly unlikely to produce solutions that are good estimates throughout the entire problem space. In contrast, the CSLC network is shown to generalise intrinsically as a result of its structure, whilst its training is greatly simplified by the presence of only one minima in the network's error hypersurface. Furthermore, a fine-tuning algorithm for network training is presented which takes advantage of the CSLC network's single adaptive layer structure and does not rely upon gradient descent of the network error hypersurface, which commonly slows the later stages of network training.

Tese (doutorado) - Universidade Federal de Santa Catarina, Centro de Ciências Biológicas, Programa de Pós-graduação em Neurociências, Florianópolis, 2009. / Made available in DSpace on 2012-10-24T13:07:19Z (GMT). No. of bitstreams: 1 268685.pdf: 4350948 bytes, checksum: 0bebd031289ca97e0599cddd75196d85 (MD5) / A crista neural (CN) representa um grupo de celulas transientes durante o desenvolvimento dos craniatas. Essas celulas estao localizadas nas bordas dorsais do tubo neural, ao longo de todo eixo antero-posterior do embriao. A CN sofre transicao epitelio-mesenquimal, suas celulas tornam-se altamente migratorias e seguem rotas distintas por todo o embriao. A CN e postulada pela maioria dos pesquisadores como o grande passo evolutivo que permitiu aos vertebrados desenvolverem a cabeca, porem os mecanismos moleculares que envolveram esse processo sao obscuros e instigantes. Esse trabalho tem por objetivo estudar as relacoes entre os fatores de transcricao Hoxa2 e Six2 no desenvolvimento da cabeca e os efeitos dos fatores de crescimento epidermal (EGF) e de fibroblasto (FGF2) na diferenciacao dos derivados da CN truncal. Nossos resultados demonstram que o fator de transcricao Six2, expresso normalmente na CN cefalica, mostrou-se capaz de controlar a expressao de antagonistas de BMPs, como Noggin e DAN e tambem do antagonista da via TGFÀ, Cerberus. Quando expresso ectopicamente na CN cefalica, o gene Hoxa2 suprime a expressao de Six2, levando a uma reducao na expressao de Noggin e DAN. Isso acarretara num aumento da biodisponibilidade de BMP4, promovendo reducao na expressao de FGF8 na regiao neural anterior. Alem disso, a reducao na expressao de Six2 promove um ganho de expressao de Cerberus pelas celulas da CN periocular e maxilar. Esse cenario molecular inviabilizara o desenvolvimento dos derivados condro-osteogenicos da CN e, surpreendentemente do sistema nervoso central. Com base nesses resultados, pode ser sugerido que o surgimento de uma CN que nao expressa genes Hox e que expressa o gene Six2 permitiu a formacao de um cenario molecular fundamental para a formacao da cabeca. Alem disso, analisamos os efeitos de fatores do microambiente na diferenciacao da CN truncal de codorna, em cultura. Demonstramos pela primeira vez que EGF induz a diferenciacao da CN para o fenotipo neuronal e melanocitico enquanto que FGF2 promove a diferenciacao da CN para o fenotipo glial. Nossos resultados sugerem que FGF2 favorece a gliogenese enquanto que EGF promove a neurogenese e melanogenese, e assim podemos propor que estes fatores apresentam um importante envolvimento no desenvolvimento do sistema nervoso periferico.