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You searched for subject:(Mathematical robustness). Showing records 1 – 2 of 2 total matches.

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Harvard University

1. Dexter, Joseph Paul. Quantitative Approaches to Cellular Information Processing and Metabolic Regulation.

Degree: PhD, 2018, Harvard University

Organisms of all levels of complexity must undertake complex information processing tasks. Diverse cellular and biochemical mechanisms are required to integrate multiple sources of information and to balance performance trade-offs, such as between speed and accuracy or robustness and fragility. This dissertation describes a series of quantitative analyses of cellular information processing, with particular attention given to the regulation of metabolism. Chapters 2 and 3 consider mechanisms for achieving concentration robustness in signal transduction. Chapter 2 develops a large compendium of reaction networks involving bifunctional enzymes, which are often positioned at key metabolic branch points and are experimentally associated with robust control. Using high-throughput algebraic analysis of this compendium, we demonstrate that bifunctional enzymes can implement five different forms of concentration robustness, and that the type of robustness is highly sensitive to biochemical details beyond bifunctionality. Chapter 3 identifies intermediate buffering in a three-component phospho-relay as a novel mechanism for concentration robustness and argues that such a mechanism accounts for robust inactivation of the yeast osmotic stress response. Chapter 4 reports an integrated computational and experimental analysis of production of the oncometabolite 2-hydroxyglutarate by mutant isocitrate dehydrogenase 1 (IDH1), which suggests that the clinically observed retention of a wild-type (WT) IDH1 allele in tumors is not due to a requirement for substrate channeling or substantial inter-subunit flux in WT/mutant IDH1 heterodimers. In Chapter 5 we examine the information processing capabilities of calcium/calmodulin signaling and show that a straightforward equilibrium binding analysis can clarify longstanding questions about the control of smooth muscle contraction. Finally, Chapter 6 reports an experimental approach to investigate the limits of complex information processing in single cells. Resurrecting a classical body of literature on the behavior of unicellular organisms, we demonstrate that the giant ciliate Stentor roeseli engages in multi-step hierarchical sequences of avoidance behaviors. The S. roeseli avoidance response is distinct from other primitive forms of learning such as habituation and conditioning and is suggestive of complex decision-making by the organism. Throughout the dissertation, a common theme is the use of mathematical modeling to link biochemical form to physiological function and to generate experimentally testable predictions that are independent of hard-to-measure parameter values.

Systems Biology

Advisors/Committee Members: Mootha, Vamsi (advisor), Higgins, John (committee member), Hofer, Aldebaran (committee member).

Subjects/Keywords: behavior; calcium signaling; cancer metabolism; ciliates; information processing; invariants; mathematical modeling; metabolic regulation; polynomial algebra; robustness

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Dexter, J. P. (2018). Quantitative Approaches to Cellular Information Processing and Metabolic Regulation. (Doctoral Dissertation). Harvard University. Retrieved from http://nrs.harvard.edu/urn-3:HUL.InstRepos:41129219

Chicago Manual of Style (16th Edition):

Dexter, Joseph Paul. “Quantitative Approaches to Cellular Information Processing and Metabolic Regulation.” 2018. Doctoral Dissertation, Harvard University. Accessed October 17, 2019. http://nrs.harvard.edu/urn-3:HUL.InstRepos:41129219.

MLA Handbook (7th Edition):

Dexter, Joseph Paul. “Quantitative Approaches to Cellular Information Processing and Metabolic Regulation.” 2018. Web. 17 Oct 2019.

Vancouver:

Dexter JP. Quantitative Approaches to Cellular Information Processing and Metabolic Regulation. [Internet] [Doctoral dissertation]. Harvard University; 2018. [cited 2019 Oct 17]. Available from: http://nrs.harvard.edu/urn-3:HUL.InstRepos:41129219.

Council of Science Editors:

Dexter JP. Quantitative Approaches to Cellular Information Processing and Metabolic Regulation. [Doctoral Dissertation]. Harvard University; 2018. Available from: http://nrs.harvard.edu/urn-3:HUL.InstRepos:41129219


ETH Zürich

2. Quetting, Florian. Entwicklung eines innovativen Planungssystems zur Voraussage und Kontrolle der Prozessrobustheit bei der Fertigung von Karosseriebauteilen.

Degree: 2018, ETH Zürich

Lineproduction processes of car body parts underly random variations as well as continuous, systematic shifts. In order to minimize scrap rate, effects of random variation to output quality are limited by defining sufficient tolecances such that the manufacturing results comply with targeted requirements. As competition becomes more and more keen, these safety margins are continuously beeing reduced leading to further instable manufacturing processes which are sensitive to changes of process parameters. Hence analysis of process variability becomes more and more important and until now has been established as an integral part of the design process of production techniques. However, as these analysis prove very tedious, studies of process variation are normally only performed for few operating points. As process sensitivity depends on the actual working point, these few analysises are not sufficient for instable processes. Until now, it was adequate to manually adjust proper process parameters during series production in order to respond to changes of operating points. With raising sensitivity of manufacturing processes to parameter variation, efforts are increased to automatically define actuator and sensor concepts enabling direct and automated counteractions to process changes. An integrated solution taking into account both, process robustness optimization and process control, has not been developed yet. In actual fact the major goal of the manufacturing design process is not maximization of process robustness but minimization of scrap rate. In turn, this rate depends on the possibilities of process monitoring and control. This means that process planning processes have to take into account the process monitoring and control strategy and derived from that point optimization of process robustness cannot be separated from the process control available during series production. In this work, a strategy is developed allowing such an integrated view on process planning on one side and manufacturing monitoring and control on the other. Instable processes can be detected and measures to stabilize these procedures can be identified. These actions can include relaxation of quality requirements, tightening of process and delivery specifications, adaption of monitoring parameters or changes in process control. Altogether, with the methods described within this work, it is possible to define sensor and actuator concepts for series production during the process design phase and therefore considering the latter manufacturing control strategy during optimization of the process robustness already. Tiefziehprozesse in der Großserienfertigung automobiler Karosseriebauteile unterliegen sowohl zufälligen Streuungen als auch stetigen Veränderungen. Damit die Auswirkungen zufälliger Streuungen auf die resultierende Bauteilqualität nicht zu hohen Ausschussquoten führen, werden gemäß etablierter industrieller Praxis hinreichend große Toleranzen definiert, so dass die Fertigungsergebnisse auch unter den auftretenden Schwankungen den… Advisors/Committee Members: Hora, Pavel, Roll, Karl.

Subjects/Keywords: PRODUCTION PROCESSES; MATHEMATICAL MODELING IN ENGINEERING AND TECHNOLOGY; SHEET WORKING (PRODUCTION ENGINEERING); UMFORMEN (FERTIGUNGSTECHNIK); BLECHBEARBEITUNG (FERTIGUNGSTECHNIK); FORMING (PRODUCTION ENGINEERING); PRODUKTIONSPROZESSE; MODELLRECHNUNG IN TECHNIK UND INGENIEURWESEN; PROCESS ROBUSTNESS; PROZESSROBUSTHEIT

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Quetting, F. (2018). Entwicklung eines innovativen Planungssystems zur Voraussage und Kontrolle der Prozessrobustheit bei der Fertigung von Karosseriebauteilen. (Doctoral Dissertation). ETH Zürich. Retrieved from http://hdl.handle.net/20.500.11850/250831

Chicago Manual of Style (16th Edition):

Quetting, Florian. “Entwicklung eines innovativen Planungssystems zur Voraussage und Kontrolle der Prozessrobustheit bei der Fertigung von Karosseriebauteilen.” 2018. Doctoral Dissertation, ETH Zürich. Accessed October 17, 2019. http://hdl.handle.net/20.500.11850/250831.

MLA Handbook (7th Edition):

Quetting, Florian. “Entwicklung eines innovativen Planungssystems zur Voraussage und Kontrolle der Prozessrobustheit bei der Fertigung von Karosseriebauteilen.” 2018. Web. 17 Oct 2019.

Vancouver:

Quetting F. Entwicklung eines innovativen Planungssystems zur Voraussage und Kontrolle der Prozessrobustheit bei der Fertigung von Karosseriebauteilen. [Internet] [Doctoral dissertation]. ETH Zürich; 2018. [cited 2019 Oct 17]. Available from: http://hdl.handle.net/20.500.11850/250831.

Council of Science Editors:

Quetting F. Entwicklung eines innovativen Planungssystems zur Voraussage und Kontrolle der Prozessrobustheit bei der Fertigung von Karosseriebauteilen. [Doctoral Dissertation]. ETH Zürich; 2018. Available from: http://hdl.handle.net/20.500.11850/250831

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