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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.


Language
  • English
Resource Type
Date Range
2010 2020


The present study aimed to advance the current understanding of the relation between disability and subjective well-being by examining the extent to which different facets of subjective well-being (life satisfaction, positive affect, and negative affect) change before and after disability onset, and the extent to which age and type of disability moderate such changes. Multiphase growth-curve models to prospective longitudinal survey data from Waves 1-16 of the Household, Income and Labour Dynamics in Australia (HILDA) survey (N = 3,795; mean age = 50.22; age range: 16-99; 51% women). On average, life satisfaction remained relatively stable across the disability transition, whereas …

Contributors
Fraire, Nicoletta, Infurna, Frank J, Luthar, Suniya S, et al.
Created Date
2019

The traditional access control system suffers from the problem of separation of data ownership and management. It poses data security issues in application scenarios such as cloud computing and blockchain where the data owners either do not trust the data storage provider or even do not know who would have access to their data once they are appended to the chain. In these scenarios, the data owner actually loses control of the data once they are uploaded to the outside storage. Encryption-before-uploading is the way to solve this issue, however traditional encryption schemes such as AES, RSA, ECC, bring about …

Contributors
Dong, Qiuxiang, Huang, Dijiang, Sen, Arunabha, et al.
Created Date
2020

Component simulation models, such as agent-based models, may depend on spatial data associated with geographic locations. Composition of such models can be achieved using a Geographic Knowledge Interchange Broker (GeoKIB) enabled with spatial-temporal data transformation functions, each of which is responsible for a set of interactions between two independent models. The use of autonomous interaction models allows model composition without alteration of the composed component models. An interaction model must handle differences in the spatial resolutions between models, in addition to differences in their temporal input/output data types and resolutions. A generalized GeoKIB was designed that regulates unidirectional spatially-based interactions …

Contributors
Boyd, William Angelo, Sarjoughian, Hessam S, Maciejewski, Ross, et al.
Created Date
2019

As the designer is asked to design, create, or simply solve a problem, many factors go into that process. It generally begins with defining the scope or problem that undergoes an iterative process utilizing different tools and techniques to generate the desired outcome. This is often referred to as the design process. Notwithstanding the many factors that influence this process, this study investigates the use of theory for behavior change and its effect on the design process. While social behavioral theories have been extensively discussed in the realm of design, and a well-developed body of literature exists, there is limited …

Contributors
AlWazzan, Aysha, Mejia, G. Mauricio, Sanft, Alfred, et al.
Created Date
2019

Structural details about viruses and their components are important for understanding the many steps in a virus life-cycle, including entry into host cells, replication, assembly, and release of progeny virions. X-ray crystallography and electron microscopy, including cryo-EM, have been used extensively for virus structural studies. Recent advances with cryo-EM have significantly advanced the field with near-atomic resolution structures of viruses being achievable. X-ray free-electron lasers (XFELs) are a novel, developing method to solve structures for non-crystalline single particle targets like viruses. Diffraction patterns can be collected directly from particles at room temperature. High quality, homogeneous virus preparations are critical for …

Contributors
Contreras, Alice Stephanie, Hogue, Brenda G, Hogue, Ian B, et al.
Created Date
2019

This research aims to serve as a starting point to the exploration of the current status of autism in Sudan and how to best utilize available Information and Communication Technology (ICT) to educate and support parents and educators. Currently, there is no official published data on the prevalence of autism in Sudan or the related available services and facilities. To attempt to expand upon the limited existing knowledge, the researcher collected all available data and information through Sudanese Facebook groups and pages. The research was observational in nature. Findings indicated that raising a child with Autism Spectrum Disorder (ASD) in …

Contributors
Salim, Sulafa, Parmentier, Mary Jane, Hussain, Faheem, et al.
Created Date
2019

The current study aims to explore factors affecting trust in human-drone collaboration. A current gap exists in research surrounding civilian drone use and the role of trust in human-drone interaction and collaboration. Specifically, existing research lacks an explanation of the relationship between drone pilot experience, trust, and trust-related behaviors as well as other factors. Using two dimensions of trust in human-automation team—purpose and performance—the effects of experience on drone design and trust is studied to explore factors that may contribute to such a model. An online survey was conducted to examine civilian drone operators’ experience, familiarity, expertise, and trust in …

Contributors
Niichel, Madeline Kathleen, Chiou, Erin, Cooke, Nancy, et al.
Created Date
2019

Nanomaterials that exhibit enzyme-like catalytic activity or nanozymes have many advantages compared to biological enzymes such as low cost of production and high stability. There is a substantial interest in studying two-dimensional materials due to their exceptional properties. Hafnium diboride is a type of two-dimensional material and belongs to the metal diborides family made of hexagonal layers of boron atoms separated by metal layers. In this work, the peroxidase-like activity of hafnium diboride nanoflakes dispersed in the block copolymer F77 was discovered for the first time. The kinetics, mechanisms and catalytic performance towards the oxidation of the chromogenic substrate 3,3,5,5-tetramethylbenzidine …

Contributors
Matar Abed, Mahmoud, Wang, Qing Hua, Green, Alexander, et al.
Created Date
2019

Riparian areas are an important resource, especially in the arid southwest, for many wildlife species. Understanding species occurrence in areas dominated by non-native vegetation is important to determine if management should be implemented. Saltcedar (Tamarix spp.) is one of the most prevalent non-native trees in riparian areas in the southwest United States and can alter vegetation structure, but little is known about how medium and large carnivores use stands of saltcedar. Three riparian forest types make up the San Pedro riparian corridor: non-native saltcedar, native mesquite (Prosopis spp.) bosque, and a mixture of native cottonwood (Populus fremontii) and willow (Salix …

Contributors
Herzog, Cheyenne J, Bateman, Heather L, Lewis, Jesse, et al.
Created Date
2019

Deep neural networks (DNNs) have had tremendous success in a variety of statistical learning applications due to their vast expressive power. Most applications run DNNs on the cloud on parallelized architectures. There is a need for for efficient DNN inference on edge with low precision hardware and analog accelerators. To make trained models more robust for this setting, quantization and analog compute noise are modeled as weight space perturbations to DNNs and an information theoretic regularization scheme is used to penalize the KL-divergence between perturbed and unperturbed models. This regularizer has similarities to both natural gradient descent and knowledge distillation, …

Contributors
Kadambi, Pradyumna, Berisha, Visar, Dasarathy, Gautam, et al.
Created Date
2019