Thesis (Ph.D.)--Baylor University, 2008. / Includes bibliographical references (p. 70-74)

High-throughput methods systematically measure the internal state of the entire cell, but powerful computational tools are needed to infer dynamics from their raw data. Therefore, we have developed a new computational method, Eigen-genomic System Dynamic-pattern Analysis (ESDA), which uses systems theory to infer dynamic parameters from a time series of gene expression measurements. As many genes are measured at a modest number of time points, estimation of the system matrix is underdetermined and traditional approaches for estimating dynamic parameters are ineffective; thus, ESDA uses the principle of dimensionality reduction to overcome the data imbalance. We identify degradation dynamic patterns of a genomic system using ESDA. We also combine ESDA and Principal-oscillation-pattern (POP) analysis, which has been widely used in geosciences, to identify oscillation patterns. We demonstrate the first application of POP analysis to genome-wide time-series gene-expression data. Both simulation data and real-world data are used in this study to demonstrate the applicability of ESDA to genomic data. The biological interpretations of dynamic patterns are provided. We also show that ESDA not only compares favorably with previous experimental methods and existing computational methods, but that it also provides complementary information relative to other approaches. / text

Made available in DSpace on 2014-06-11T19:26:56Z (GMT). No. of bitstreams: 0 Previous issue date: 2010-02-19Bitstream added on 2014-06-13T18:47:53Z : No. of bitstreams: 1 prado_ef_me_sjrp.pdf: 346611 bytes, checksum: 28c34647c269c1cbaea17d3787faa4cf (MD5) / Neste trabalho vamos estudar equações diferenciais ordinárias e analisar seu comportamento ao longo de suas trajetórias, com o principal objetivo de encontar, caso possível, uma função de Lyapunov apropriada para o sistema, isto é, dar condição suficiente e necessária para a existência dessa função. / In this work we study ordinary differential equations and analyse the behavior along of trajectories. The main goal is to find Lyapunov functions for the system when possibel: i e, we want to find necessary and sufficient conditions for the existence of those.

Orientador: Vanderlei Minori Horita / Banca: Isabel Lugão Rios / Banca: Claudio Aguinaldo Buzzi / Resumo: Neste trabalho vamos estudar equações diferenciais ordinárias e analisar seu comportamento ao longo de suas trajetórias, com o principal objetivo de encontar, caso possível, uma função de Lyapunov apropriada para o sistema, isto é, dar condição suficiente e necessária para a existência dessa função. / Abstract: In this work we study ordinary differential equations and analyse the behavior along of trajectories. The main goal is to find Lyapunov functions for the system when possibel: i e, we want to find necessary and sufficient conditions for the existence of those. / Mestre

The master’s thesis deals with the possibilities of railway track modeling. The computational models were created in ANSYS Classic. Simplified 2D model represents a longitudal half of classic single track construction, 3D models represent classic single track construction and RHEDA 2000 slab track. Static and dynamic response of 2D model was compared with analytical solutions by Timoshenko and Fryba. Static and dynamic responses of 3D models were analyzed and compared.