Thesis (Ph. D.)--Ohio State University, 2006. / Title from first page of PDF file. Includes bibliographical references (p. 112-117).

No description available.

Thesis (Ph. D.)--Ohio State University, 2007. / Title from first page of PDF file. Includes bibliographical references (p. 132-138).

No description available.

The need to analyze and closely study the gene related mechanisms motivated the research on the modeling and control of gene regulatory networks (GRN). Dierent approaches exist to model GRNs / they are mostly simulated as mathematical models that represent relationships between genes. Though it turns into a more challenging problem, we argue that partial observability would be a more natural and realistic method for handling the control of GRNs. Partial observability is a fundamental aspect of the problem / it is mostly ignored and substituted by the assumption that states of GRN are known precisely, prescribed as full observability. On the other hand, current works addressing partially observability focus on formulating algorithms for the nite horizon GRN control problem. So, in this work we explore the feasibility of realizing the problem in a partially observable setting, mainly with Partially Observable Markov Decision Processes (POMDP). We proposed a POMDP formulation for the innite horizon version of the problem. Knowing the fact that POMDP problems suer from the curse of dimensionality, we also proposed a POMDP solution method that automatically decomposes the problem by isolating dierent unrelated parts of the problem, and then solves the reduced subproblems. We also proposed a method to enrich gene expression data sets given as input to POMDP control task, because in available data sets there are thousands of genes but only tens or rarely hundreds of samples. The method is based on the idea of generating more than one model using the available data sets, and then sampling data from each of the models and nally ltering the generated samples with the help of metrics that measure compatibility, diversity and coverage of the newly generated samples.

Made available in DSpace on 2016-04-26T20:27:59Z (GMT). No. of bitstreams: 1 Renata E Silva.pdf: 1059542 bytes, checksum: 81c1aedf8229381c28649668770e3655 (MD5) Previous issue date: 2008-10-03 / The present work aims at analyzing the judicial decisions in control of constitutionality of the tax norms. The analysis will be elaborated from the theory of how the judicial decision is processed, decision premises, limit and construction of the applier of the law of the of the concrete norm of judicial decision. Afterwards, through the very decisions uttered in constitutionality control from Federal Supreme Court, pragmatic will be analyzed. The whole theory and practical development in the work will be accomplished in agreement with the Theory of the Language as construction of the Law in its syntactic, semantic and pragmatic aspects / O presente trabalho tem como objetivo analisar as decisões judiciais em controle de constitucionalidade das normas tributárias. A análise será elaborada partindo da teoria de como se processa a decisão judicial, as premissas decisórias, o limite e a construção do aplicador do direito da norma concreta de decisão judicial. Para só após analisar a pragmática, através das próprias decisões proferidas em controle de constitucionalidade no âmbito no Supremo Tribunal Federal. Todo o desenvolvimento da teoria e da prática do trabalho será realizado de acordo com a Teoria da Linguagem como construção do direito em seus aspectos sintáticos, semânticos e pragmáticos