Indiana University-Purdue University Indianapolis (IUPUI) / Cellular structural mechanics play a key role in homeostasis by transducing mechanical signals to regulate gene expression and by providing adaptive structural stability for the cell. The alteration of nuclear mechanics in various laminopathies and in natural aging can damage these key functions. Arterial endothelial cells appear to be especially vulnerable due to the importance of shear force mechanotransduction to structure and gene regulation as is made evident by the prominent role of atherosclerosis in Hutchinson-Gilford progeria syndrome (HGPS) and in natural aging. Computational models of cellular mechanics may provide a useful tool for exploring the structural hypothesis of laminopathy at the intracellular level. This thesis explores this topic by introducing the biological background of cellular mechanics and lamin proteins in arterial endothelial cells, investigating disease states related to aberrant lamin proteins, and exploring computational models of the cell structure. It then presents a finite element model designed specifically for investigation of nuclear shear forces in arterial endothelial cells. Model results demonstrate that changes in nuclear material properties consistent with those observed in progerin-expressing cells may result in substantial increases in stress concentrations on the nuclear membrane. This supports the hypothesis that progerin disrupts homeostatic regulation of gene expression in response to hemodynamic shear by altering the mechanical properties of the nucleus.

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A study was performed to compare two different methods for generating surrogate models for the analysis and design of airfoils. Initial research was performed to compare the accuracy of surrogate models for predicting the lift and drag of an airfoil with data collected from highidelity simulations using a modern CFD code along with lower-order models using a panel code. This was followed by an evaluation of the Class Shape Trans- formation (CST) method for parameterizing airfoil geometries as a prelude to the use of surrogate models for airfoil design optimization and the implementation of software to use CST to modify airfoil shapes as part of the airfoil design process. Optimization routines were coupled with surrogate modeling techniques to study the accuracy and efficiency of the surrogate models to produce optimal airfoil shapes. Finally, the results of the current research are summarized, and suggestions are made for future research.

Additive manufacturing has shown the ability to produce highly complex geometries that are not easily manufactured through traditional means. However, the implications of building these complex geometries regarding thermal history requires more attention. AM process simulations have proven to be computationally expensive and require large amounts of pre-processing to execute. This thesis will start with a review of additive manufacturing along with current modeling efforts. Then, the development of a pre-processing tool for finite element simulations of these processes is presented. It is shown that the pre-processing tool significantly decreases the total time-to-simulation by removing manual steps. Finally, a study using this tool is conducted to analyze the thermal histories of a cube and a cylinder with two different scan strategies and explore differences in resulting thermal history. It is shown that less temperature fluctuations and a lower final temperature result from an offset scan strategy and a cylindrical geometry.

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I takt med den ökande digitaliseringen i samhället genererar företag stora mängder data varje dag. För att skapa förståelse kring datan är det viktigt att den blir visualiserad. Aktier och tillhörande finansiell information är en komplex typ av data och med hjälp av linjediagram blir det möjligt att visualisera denna data. I detta arbete utförs en jämförelse mellan klient- och serverbaserad programmering där det skapas en applikation i React och eni Python. Jämförelsen utförs för att ta reda på vilken form av programmering det är som renderar linjediagram med kortast svarstid. För att ta reda på detta utförs ett tekniskt experiment där renderingstider mäts i de applikationer som skapats i React och Python. Mätningarna i React resulterar i kortare renderingstider än Python framförallt när det kommer till större datamängder där flera aktiekurser visualiseras samtidigt. I ett framtida arbete kan en liknande undersökning utföras med skillnaden att mätningar utförs på interaktivitet med datan. / <p>Det finns övrigt digitalt material (t.ex. film-, bild- eller ljudfiler) eller modeller/artefakter tillhörande examensarbetet som ska skickas till arkivet.</p>

Configuration files are a vital part of any server setup. Knowing what configuration files have been manipulated is vital in knowing what services are running and how they are configured on a system. Changes made to these configuration files must be manually documented or collected using some automated documentation tool. Both these methods rely on being implemented early for the changes to be sufficiently documented. If a system didn’t implement these methods of documentation then there is no absolute way of knowing what changes have been made to that system without doing a manual search through potentially hundreds of files to find changes. Finding all changes made to a system lacking documentation is a time-consuming and arduous task. What if the search for changes could be automated once the documentation is long overdue? This thesis aims to create an implementation that finds changes made to configuration files on a Debian system as well as Linux distributions based on Debian such as Ubuntu. The resulting implementation created is called Doc-Overdue. Doc-Overdue consists of a script written in Python and utilizes the Debian Package Management System to find reference files to compare to the configuration files on the system. The script also runs tests to aid in finding new and/or modified configuration files without a reference file available. The results are presented in a formatted comprehensive report automatically created by Doc-Overdue. The report will include change reports created by the Diff-utility that makes it easy to find exactly what changes have been made to each changed configuration file. This approach finds changes made to systems without the need for any prior documentation of the system. The implementation was tested with a custom-made script that made modifications to configuration files for Doc-Overdue to find. The test showed Doc-Overdue to have an accuracy of 87.5% in finding changed configuration files on the system. This result shows that this approach for finding configuration file changes has a lot of promise. The thesis ends with a discussion and a list of potential future work that could hopefully lead to further improvements in the field of configuration detection.

In diesem Dokument ist ein Skript vorgestellt, welches Messdaten in Python aus verschiedenen Messsystemen eines Motorprüfstands automatisiert zusammenfasst, erforderliche motorische Berechnungen durchführt und Diagramme ausgewählter Kennwerte zeichnet.:1. Problemstellung 2. Datenverarbeitung im Auswerteskript 2.1. Import der Messdaten 2.2. Benennung der Messdaten zur Datenüberprüfung 3. Verarbeitung und Berechnung 4. Diagrammerstellung zur Auswertung 5. Fazit Literatur