Thesis (PH. D.)--University of Michigan, 1926. / "By A.L. Ferguson and A.W. Schluchter." eContent provider-neutral record in process. Description based on print version record.

Thesis (Ph. D. in Chemistry)--University of California, Berkeley, Jan. 1956. / Includes bibliographical references (p. 115-116). 46

Thesis (PH. D.)--University of Michigan, 1926. / Reprinted from two articles by Alfred L. Ferguson and Egbert K. Bacon, published in the Journal of the American Chemical Society, v. 49, August, 1927.

Thesis (Ph.D.)--McMaster University, 2003. / Advisor: Johan K. Terlouw. Includes bibliographical references. Also available via World Wide Web.

Thesis (Ph. D.)--University of Washington, 2000. / Vita. Includes bibliographical references (leaves 65-72).

Recent advances in systems biology have uncovered detailed mechanisms of  biological processes such as the cell cycle, circadian rhythms, and signaling pathways.  These mechanisms are modeled by chemical reaction networks (CRNs) which are typically simulated by converting to ordinary differential equations (ODEs), so that the goal is to closely reproduce the observed quantitative and qualitative behaviors of the modeled process. This thesis proposes two algorithmic problems related to the construction and comprehension of CRN models. The first problem focuses on reconstructing CRNs from given time series. Given multivariate time course data obtained by perturbing a given CRN, how can we systematically deduce the interconnections between the species of the network? We demonstrate how this problem can be modeled as, first, one of uncovering conditional independence relationships using buffering experiments and, second, of determining the properties of the individual chemical reactions. Experimental results demonstrate the effectiveness of our approach on both synthetic and real CRNs. The second problem this work focuses on is to aid in network comprehension, i.e., to understand the motifs underlying complex dynamical behaviors of CRNs. Specifically, we  focus on bistability---an important dynamical property of a CRN---and propose algorithms to identify the core structures responsible for conferring bistability. The approach we take is to systematically infer the instability causing structures (ICSs) of a CRN and use machine learning techniques to relate properties of the CRN to the presence of such ICSs. This work has the potential to aid in not just network comprehension but also model simplification, by helping  reduce the complexity of known bistable systems. / Ph. D.

No description available.

<p> Forced convection mass transfer rates from single gas bubbles, with accompanying chemical reaction, were determined experimentally in the intermediate Reynolds number range. The reacting system carbon dioxide-monoethanolaminc was chosen for this study. </p> <p> A mathematical model, describing forced convection mass transfer from a single sphere with accompanying first or second order reaction, was developed and solved using finite-difference techniques. Hydrodynamic conditions in the intermediate Reynolds number region were described using Kawaguti-type velocity profiles. </p> <p> The numerical solutions of the model have been compared with the experimental results of this study as well as with previous theoretical and experimental results. </p> / Thesis / Doctor of Philosophy (PhD)

<p> A continuous bubble reactor was used to study the transfer of oxygen into solutions of acetaldehyde. The reaction was catalysed by cobaltous acetate. The parameters investigated included temperature, catalyst concentration, air flow rate and column height.</p> <p> A mathematical model based on Houghton's work (36) was used to describe the absorption rate in the bubble column. The equation derived was solved numerically. The Sherwood numbers predicted by the theory were compared with those obtained experimentally.</p> / Thesis / Master of Engineering (MEngr)

京都大学 / 新制・課程博士 / 博士(工学) / 甲第24625号 / 工博第5131号 / 新制||工||1981(附属図書館) / 京都大学大学院工学研究科材料化学専攻 / (主査)教授 松原 誠二郎, 教授 中尾 佳亮, 教授 杉野目 道紀 / 学位規則第4条第1項該当 / Doctor of Philosophy (Engineering) / Kyoto University / DGAM