Thesis (Ph. D.)--State University of New York at Binghamton, Dept. of Computer Science, 2007. / Includes bibliographical references.

Thesis (M.S.)--Rochester Institute of Technology, 2007. / Typescript. Includes bibliographical references (leaves 58-60).

Thesis (Ph.D.)--University of Texas at Dallas, 2007. / Includes vita. Includes bibliographical references (leaves 94-103)

Thesis (M.S.E.C.E.)--University of Delaware, 2008. / Principal faculty advisor: Guang R. Gao, Dept. of Electrical and Computer Engineering. Includes bibliographical references.

Thesis (M.S.)--Mississippi State University. Department of Computer Science. / Title from title screen. Includes bibliographical references.

Chitin Microparticles (CMPs, 1-10um), a special form of the ubiquitous and nontoxic polysaccharide Chitin (GlcNAc), is capable of inducing a switch in macrophages from the wound-healing M2 phenotype to the classically activated pro-inflammatory M1 phenotype; which has therapeutic implications in allergy and cancer. We hypothesized that TLR2 forms a complex with CMPs and Chitin-Binding Proteins (CBPs) at the surface of peritoneal macrophages and remains with that complex after internalization to initiate downstream signaling events, leading to the production of the M1 cytokine, TNFalpha. Our results from experiments performed in RAW 264.7 cells show that TLR2 and TLR1, but not TLR6, are associated with the CMP binding fraction, and that both TLR1 and TLR2 might be important for M1 activation as a result of CMP phagocytosis. This project sheds light on CMP as a potential therapeutic agent and provides more evidence for a phagocytosis-dependent TLR2 signaling pathway. / Includes bibliography. / Thesis (M.S.)--Florida Atlantic University, 2016. / FAU Electronic Theses and Dissertations Collection

Biological system simulation is an increasingly popular field of study that provides biologists with the tools necessary to simulate biochemical systems in order to obtain quantitative models. The purpose of this thesis is to describe an accelerated version of GridCell, a stochastic biological system simulator. GridCell tracks each individual particle's location in the system, as well as the time evolution of the concentration of each species involved. It simulates molecular diffusion via Brownian movements, and particle interactions are dependent on their locations. We present here a parallel adaptation of the algorithm, implemented on a heterogeneous multicore processor, i.e. IBM Cell Broadband Engine (CBE). We introduce the CBE architecture and outline its advantages, as well as describe the original algorithm. Subsequently, we detail the parallel implementation and the algorithm modifications. Finally, we perform timing analysis to show that the parallel version provides improved performance over the original serial version.

Thesis (Ph.D)--Electrical and Computer Engineering, Georgia Institute of Technology, 2008. / Committee Chair: Loh, Gabriel H.; Committee Co-Chair: Lee, Hsien-Hsin S.; Committee Member: Lim, Sung Kyu; Committee Member: Prvulovic, Milos; Committee Member: Yalamanchili, Sudhakar; Committee Member: Yoder, Douglas.

Thesis (M.S.)--Oregon State University, 2007. / Printout. Includes bibliographical references (leaves 30-32). Also available on the World Wide Web.

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