Cable analysis for electromagnetic compatibility issues

This dissertation consists of three papers. In the first paper, a high-sensitivity resonant electric field probe was designed, consisting of an LC resonator loaded by quarter-wave transformers. At the resonant frequency of 1.577 GHz, the measured |S21| from a matched trace to the resonant probe was approximately 6.6 dB higher than that of an equivalently sized broadband probe. In the second paper, a method for creating a simple SPICE model is proposed such that the SPICE model allows prediction of radiated emissions in component level tests. The radiation from the ground connections between the cables and return plane dominates over the radiation from the horizontal cables. In the third paper, a methodology for measuring coupling parameters and modeling crosstalk within aircraft cable connectors at low frequencies (\u3c 400 MHz) was developed. The accuracy of the model was evaluated through comparison of simulated and measured results. Additionally, a closed-form solution was developed to estimate the worst-case envelope of the differential crosstalk --Abstract, page iv

Genetic regulation of the development of mating projections in Candida albicans.

Candida albicans is a major human fungal pathogen, capable of switching among a range of morphological types, such as the yeast form, including white and opaque cell types and the GUT (gastrointestinally induced transition) cell type, the filamentous form, including hyphal and pseudohyphal cell types, and chlamydospores. This ability is associated with its commensal and pathogenic life styles. In response to pheromone, C. albicans cells are able to form long mating projections resembling filaments. This filamentous morphology is required for efficient sexual mating. In the current study, we report the genetic regulatory mechanisms controlling the development of mating projections in C. albicans. Ectopic expression of MTLα1 in "a" cells induces the secretion of α-pheromone and promotes the development of mating projections. Using this inducible system, we reveal that members of the pheromone-sensing pathway (including the pheromone receptor), the Ste11-Hst7-Cek1/2 mediated MAPK signalling cascade, and the RAM pathway are essential for the development of mating projections. However, the cAMP/PKA signalling pathway and a number of key regulators of filamentous growth such as Hgc1, Efg1, Flo8, Tec1, Ume6, and Rfg1 are not required for mating projection formation. Therefore, despite the phenotypic similarities between filaments and mating projections in C. albicans, distinct mechanisms are involved in the regulation of these two morphologies

Poly[μ-aqua-μ4-terephthalato-strontium]

In the title compound, [Sr(C8H4O4)(H2O)]n, the SrII atom exhibits coordination number eight, with six O atoms from four carboxylate groups (two bidentate and two monodentate) of terephthalate ligands and two water O atoms. The SrO8 polyhedra are linked into inorganic chains by sharing three coplanar O atoms. These inorganic chains are extended along the b axis to form layers in the ab plane by O—C—O linking. Parallel layers are connected by terephthalic groups, forming a three-dimensional framework. O—H⋯O hydrogen-bonding inter­actions are observed

Using Persistent Homology Topological Features to Characterize Medical Images: Case Studies on Lung and Brain Cancers

Tumor shape is a key factor that affects tumor growth and metastasis. This paper proposes a topological feature computed by persistent homology to characterize tumor progression from digital pathology and radiology images and examines its effect on the time-to-event data. The proposed topological features are invariant to scale-preserving transformation and can summarize various tumor shape patterns. The topological features are represented in functional space and used as functional predictors in a functional Cox proportional hazards model. The proposed model enables interpretable inference about the association between topological shape features and survival risks. Two case studies are conducted using consecutive 143 lung cancer and 77 brain tumor patients. The results of both studies show that the topological features predict survival prognosis after adjusting clinical variables, and the predicted high-risk groups have significantly (at the level of 0.01) worse survival outcomes than the low-risk groups. Also, the topological shape features found to be positively associated with survival hazards are irregular and heterogeneous shape patterns, which are known to be related to tumor progression