ASU Electronic Theses and Dissertations
This collection includes most of the ASU Theses and Dissertations from 2011 to present. ASU Theses and Dissertations are available in downloadable PDF format; however, a small percentage of items are under embargo. Information about the dissertations/theses includes degree information, committee members, an abstract, supporting data or media.
In addition to the electronic theses found in the ASU Digital Repository, ASU Theses and Dissertations can be found in the ASU Library Catalog.
Dissertations and Theses granted by Arizona State University are archived and made available through a joint effort of the ASU Graduate College and the ASU Libraries. For more information or questions about this collection contact or visit the Digital Repository ETD Library Guide or contact the ASU Graduate College at gradformat@asu.edu.
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In this thesis, I develop the theory of $p$-adic measures on $mathbb{Z}_p^d$, with particular interest given to the case of $d>1$. Although I introduce these measures within the context of $p$-adic integration, this study includes a strong emphasis on the interpretation of $p$-adic measures as $p$-adic power series. With this dual perspective, I describe $p$-adic analytic operations as maps on power series; the most important of these operations is the multivariate $Gamma$-transform on $p$-adic measures.
This thesis gives new significance to product measures, and in particular to the use of product measures to construct measures on $mathbb{Z}_p^2$ from measures on $mathbb{Z}_p$. I introduce a subring of pseudo-polynomial measures on $mathbb{Z}_p^2$ which is closed under the standard operations on measures, including the $Gamma$-transform. I obtain results on the Iwasawa-invariants of such pseudo-polynomial measures, and use these results to deduce certain continuity results for the $Gamma$-transform. As an application, I establish the vanishing of the Iwasawa $mu$-invariant of Yager's two-variable $p$-adic $L$-function from measure theoretic considerations.
This study utilized a qualitative approach and a variety of instruments to gather data, including: profile questionnaires, semi-structured pre-interviews, reflective journals, three group discussion sessions, and semi-structured post interviews. The pre- and post interviews as well as the group discussion sessions were audiotape recorded and transcribed. A three stage coding process was utilized on the questionnaires, interviews, discussion sessions, and journal entries.
The results and findings demonstrated that AZCCRS clearly support exemplary gifted mathematic curriculum and practices at the elementary level, that there are at least nine distinct relationships between the AZCCRS and gifted pedagogy, and that the gifted education specialists interpret, negotiate, and implement the AZCCRS uniquely in at least four distinct ways, in their mathematically gifted pullout classes.
First, a data-driven model is derived for neutral lipid synthesis in green microalgae with respect to nitrogen limitation. This model synthesizes several established frameworks in phycology and ecological stoichiometry. The model demonstrates how the cell quota is a useful abstraction for understanding the metabolic shift to neutral lipid production that is observed in certain oleaginous species.
Next a producer-grazer model is developed based on the cell quota model and nutrient recycling. The model incorporates a novel feedback loop to account for animal toxicity due to accumulation of nitrogen waste. The model exhibits rich, complex dynamics which leave several open mathematical questions.
Lastly, disease dynamics in vivo are in many ways analogous to those of an ecosystem, giving natural extensions of the cell quota concept to disease modeling. Prostate cancer can be modeled within this framework, with androgen the limiting nutrient and the prostate and cancer cells as competing species. Here the cell quota model provides a useful abstraction for the dependence of cellular proliferation and apoptosis on androgen and the androgen receptor. Androgen ablation therapy is often used for patients in biochemical recurrence or late-stage disease progression and is in general initially effective. However, for many patients the cancer eventually develops resistance months to years after treatment begins. Understanding how and predicting when hormone therapy facilitates evolution of resistant phenotypes has immediate implications for treatment. Cell quota models for prostate cancer can be useful tools for this purpose and motivate applications to other diseases.
Improving Arizona English language learners' mathematics achievement using curriculum-based measures
This study was an investigation of the effectiveness of curriculum-based measures (CBMs) on the math achievement of first and second grade English Language Learners (ELL). The No Child Left Behind Act (NCLB) of 2001 led to a new educational reform, which identifies and provides services to students in need of academic support based on English language proficiency. Students are from certain demographics: minorities, low-income families, students with disabilities, and students with limited English proficiency. NCLB intended to lead as to improvement in the quality of the United States educational system.
Four classes from the community of Kayenta, Arizona in the Navajo Nation were randomly assigned to control and experimental groups, one each per grade. All four classes used the state-approved, core math curriculum, but one class in each grade was provided with weekly CBMs for an entire school year that included sample questions developed from the Arizona Department of Education performance standards. The CBMs contained at least one question from each of the five math strands: number and operations, algebra, geometry, measurement, and data and probability.
The NorthWest Evaluation Assessment (NWEA) served as the pretest and posttest for all four groups. The SAT 10 (RIT scores) math test, administered near the time of the pretest, served as the covariate in the analysis. Two analysis of covariance tests revealed no statistically significant treatment effects, subject gender effects, or interactions for either Grade 1 or Grade 2. Achievement levels were relatively constant across both genders and the two grade levels.
Despite increasing emphasis on assessment and accountability, the achievement gaps between these subpopulations and the general population of students continues to widen. It appears that other variables are responsible for the different achievement levels found among students. Researchers have found that teachers with math certification, degrees related to math, and advanced course work in math leads to improved math performance over students of teachers who lack those qualifications. The design of the current study did not permit analyses of teacher or school effects.