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Description
Human activities around the world are threatening scores of wildlife species, pushing them closer to extinction. In order to address what many conservationists view as a global biodiversity crisis, it is vital that more people are inspired to care about wild animals and motivated to act in ways that help protect them. The up-close experiences and personal connections that people form with wild animals in zoos accredited by the Association of Zoos and Aquariums (AZA) or the World Association of Zoos and Aquariums (WAZA) can help achieve this. However, it is not very well understood how different types of encounters within these zoos may inspire conservation mindedness and pro-environmental behaviors. During this thesis project, surveys were conducted at the AZA-accredited Arizona Center for Nature Conservation/Phoenix Zoo to understand how interactive, hands-on animal experiences within zoos differ from passively viewing zoo animals when it comes to inspiring people to care about conservation. The Phoenix Zoo is home to two different species of giraffes, and guests can view them from the front of the Savanna Exhibit. Guests can also participate in the Giraffe Encounter, which is a much more interactive, hands-on experience. After surveying guests at both locations, the results showed that fewer people at the Giraffe Encounter responded that they often engage in pro-environmental behaviors. This may indicate that the people who participated in the Giraffe Encounter came to the zoo more for recreation and entertainment than to learn about wildlife. Despite this, more people learned something new about nature or conservation at the Giraffe Encounter than they did at the Savanna Exhibit. On average, guests also felt that the Giraffe Encounter motivated them to learn more about how to help animals in the wild than the Savanna Exhibit did. Overall, there is a strong correlation between having an interactive, hands-on experience with a zoo animal and caring more about wildlife conservation. However, more research still needs to be done in order to conclusively provide evidence for causation.
ContributorsBurgess, Christa Noell (Author) / Schoon, Michael (Thesis director) / Minteer, Ben (Committee member) / Allard, Ruth (Committee member) / School of Life Sciences (Contributor) / School of Sustainability (Contributor, Contributor) / Barrett, The Honors College (Contributor)
Created2019-12
Description
This paper covers the wild horse overpopulation case study at the Salt River in Arizona, exploring how Traditional Ecological Knowledge (TEK) might help foster solutions to a lengthy and heated controversy about how to manage wild horses and burros on the rangeland. Fikret Berke's Sacred Ecology defines traditional ecological knowledge as, "a cumulative body of knowledge, practice, and belief evolving by adaptive processes and handed down through generations by cultural transmission, about the relationship of living beings (including humans) with one another and with their environment," (Berkes, 3). In contrast to current management strategies, TEK utilizes knowledge that comes from direct experience and intuitive knowing, rather than science-based, techno-rational streams of knowledge. Drawing on three modern sustainability concepts that support and stem from TEK, including: everything is connected, complex solutions can further complicate problems and diversity as a key to resilience, this paper sets forth a number of specific solutions to be considered moving forward, guided by the wisdom of TEK.
ContributorsLyford, Rebecca (Author) / Schoon, Michael (Thesis director) / Murphey, Julia (Committee member) / School of Sustainability (Contributor) / Barrett, The Honors College (Contributor)
Created2018-05
Description
Circles of Sustainability is a self-evaluation tool designed to build educator capacity in K-12 schools seeking sustainability solutions. Based on the Sustainable Schools Challenge Handbook from Memphis, Tennessee, Circles of Sustainability considers environmental impact and efficiency, a healthy and safe school environment, sustainability and environmental education, and engagement and empowerment as four key pillars of whole-school sustainability. Each pillar is composed of elements and rubric items, which are reviewed, totaled, and colored in on the front page of the tool to help educators visualize and evaluate the current state of sustainability at their school. Since its first iteration completed in May 2017, the tool has been used by 300 educators throughout the United States during ASU's Sustainability Teachers' Academy (STA) workshops. Circles of Sustainability is completed as part of an activity called "Evaluating Your Community," where educators complete the tool and then brainstorm sustainability projects and solutions for their school and community. This paper is a review and discussion of the research, informal feedback and formal feedback used to create the second iteration of the tool. A second iteration of the tool was created to make the tool more user-friendly and ensure each pillar, element, and rubric item are based in research. The informal feedback was conducted during STA workshops in Tempe, Arizona; Abingdon, Virginia; Princeton, New Jersey; Chicago, Illinois; Los Angeles, California; Tucson, Arizona; and Charlotte, North Carolina. The formal feedback was conducted using a survey distributed to teachers who participated in the Tucson and Charlotte workshops. Overall, educators have responded positively to the tool, and the second iteration will continue to be used in future STA workshops throughout the United States.
ContributorsColbert, Julia (Author) / Schoon, Michael (Thesis director) / Merritt, Eileen (Committee member) / School of Sustainability (Contributor) / Division of Teacher Preparation (Contributor) / School of Geographical Sciences and Urban Planning (Contributor) / Barrett, The Honors College (Contributor)
Created2018-05
Description
Predicting the binding sites of proteins has historically relied on the determination of protein structural data. However, the ability to utilize binding data obtained from a simple assay and computationally make the same predictions using only sequence information would be more efficient, both in time and resources. The purpose of this study was to evaluate the effectiveness of an algorithm developed to predict regions of high-binding on proteins as it applies to determining the regions of interaction between binding partners. This approach was applied to tumor necrosis factor alpha (TNFα), its receptor TNFR2, programmed cell death protein-1 (PD-1), and one of its ligand PD-L1. The algorithms applied accurately predicted the binding region between TNFα and TNFR2 in which the interacting residues are sequential on TNFα, however failed to predict discontinuous regions of binding as accurately. The interface of PD-1 and PD-L1 contained continuous residues interacting with each other, however this region was predicted to bind weaker than the regions on the external portions of the molecules. Limitations of this approach include use of a linear search window (resulting in inability to predict discontinuous binding residues), and the use of proteins with unnaturally exposed regions, in the case of PD-1 and PD-L1 (resulting in observed interactions which would not occur normally). However, this method was overall very effective in utilizing the available information to make accurate predictions. The use of the microarray to obtain binding information and a computer algorithm to analyze is a versatile tool capable of being adapted to refine accuracy.
ContributorsBrooks, Meilia Catherine (Author) / Woodbury, Neal (Thesis director) / Diehnelt, Chris (Committee member) / Ghirlanda, Giovanna (Committee member) / Department of Psychology (Contributor) / School of Molecular Sciences (Contributor) / Barrett, The Honors College (Contributor)
Created2018-05
Description
The fence between the US and Mexico had been and continues to be a controversial topic in both the U.S., Mexico and around the world. This study will look at the negative externalities related to the environment, society, and economy of the current fence on the border. The central question behind the thesis is whether or not the fence has a direct impact on the ecosystem and people around it.
ContributorsHoyt, Stephanie Alexis (Author) / Schoon, Michael (Thesis director) / Breetz, Hanna (Committee member) / School of Sustainability (Contributor) / School of Politics and Global Studies (Contributor) / Barrett, The Honors College (Contributor)
Created2016-12
Description
The free-base tetra-tolyl-porphyrin and the corresponding cobalt and iron porphyrin complexes were synthesized and characterized to show that this class of compound can be promising, tunable catalysts for carbon dioxide reduction. During cyclic voltammetry experiments, the iron porphyrin showed an on-set of ‘catalytic current’ at an earlier potential than the cobalt porphyrin’s in organic solutions gassed with carbon dioxide. The cobalt porphyrin yielded larger catalytic currents, but at the same potential as the electrode. This difference, along with the significant changes in the porphyrin’s electronic, optical and redox properties, showed that its capabilities for carbon dioxide reduction can be controlled by metal ions, allotting it unique opportunities for applications in solar fuels catalysis and photochemical reactions.
ContributorsSkibo, Edward Kim (Author) / Moore, Gary (Thesis director) / Woodbury, Neal (Committee member) / School of Molecular Sciences (Contributor) / School of Sustainability (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
Description
ABSTRACT Peptide microarrays may prove to be a powerful tool for proteomics research and clinical diagnosis applications. Fodor et al. and Maurer et al. have shown proof-of-concept methods of light- and electrochemically-directed peptide microarray fabrication on glass and semiconductor microchips respectively. In this work, peptide microarray fabrication based on the abovementioned techniques were optimized. In addition, MALDI mass spectrometry based peptide synthesis characterization on semiconductor microchips was developed and novel applications of a CombiMatrix (CBMX) platform for electrochemically controlled synthesis were explored. We have investigated performance of 2-(2-nitrophenyl)propoxycarbonyl (NPPOC) derivatives as photo-labile protecting group. Specifically, influence of substituents on 4 and 5 positions of phenyl ring of NPPOC group on the rate of photolysis and the yield of the amine was investigated. The results indicated that substituents capable of forming a π-network with the nitro group enhanced the rate of photolysis and yield. Once such properly substituted NPPOC groups were used, the rate of photolysis/yield depended on the nature of protected amino group indicating that a different chemical step during the photo-cleavage process became the rate limiting step. We also focused on electrochemically-directed parallel synthesis of high-density peptide microarrays using the CBMX technology referred to above which uses electrochemically generated acids to perform patterned chemistry. Several issues related to peptide synthesis on the CBMX platform were studied and optimized, with emphasis placed on the reactions of electro-generated acids during the deprotection step of peptide synthesis. We have developed a MALDI mass spectrometry based method to determine the chemical composition of microarray synthesis, directly on the feature. This method utilizes non-diffusional chemical cleavage from the surface, thereby making the chemical characterization of high-density microarray features simple, accurate, and amenable to high-throughput. CBMX Corp. has developed a microarray reader which is based on electro-chemical detection of redox chemical species. Several parameters of the instrument were studied and optimized and novel redox applications of peptide microarrays on CBMX platform were also investigated using the instrument. These include (i) a search of metal binding catalytic peptides to reduce overpotential associated with water oxidation reaction and (ii) an immobilization of peptide microarrays using electro-polymerized polypyrrole.
ContributorsKumar, Pallav (Author) / Woodbury, Neal (Thesis advisor) / Allen, James (Committee member) / Johnston, Stephen (Committee member) / Arizona State University (Publisher)
Created2013
Description
Traditional Reinforcement Learning (RL) assumes to learn policies with respect to reward available from the environment but sometimes learning in a complex domain requires wisdom which comes from a wide range of experience. In behavior based robotics, it is observed that a complex behavior can be described by a combination of simpler behaviors. It is tempting to apply similar idea such that simpler behaviors can be combined in a meaningful way to tailor the complex combination. Such an approach would enable faster learning and modular design of behaviors. Complex behaviors can be combined with other behaviors to create even more advanced behaviors resulting in a rich set of possibilities. Similar to RL, combined behavior can keep evolving by interacting with the environment. The requirement of this method is to specify a reasonable set of simple behaviors. In this research, I present an algorithm that aims at combining behavior such that the resulting behavior has characteristics of each individual behavior. This approach has been inspired by behavior based robotics, such as the subsumption architecture and motor schema-based design. The combination algorithm outputs n weights to combine behaviors linearly. The weights are state dependent and change dynamically at every step in an episode. This idea is tested on discrete and continuous environments like OpenAI’s “Lunar Lander” and “Biped Walker”. Results are compared with related domains like Multi-objective RL, Hierarchical RL, Transfer learning, and basic RL. It is observed that the combination of behaviors is a novel way of learning which helps the agent achieve required characteristics. A combination is learned for a given state and so the agent is able to learn faster in an efficient manner compared to other similar approaches. Agent beautifully demonstrates characteristics of multiple behaviors which helps the agent to learn and adapt to the environment. Future directions are also suggested as possible extensions to this research.
ContributorsVora, Kevin Jatin (Author) / Zhang, Yu (Thesis advisor) / Yang, Yezhou (Committee member) / Praharaj, Sarbeswar (Committee member) / Arizona State University (Publisher)
Created2021
Description
ABSTRACT Over the past several decades, the dilemma of free-roaming horses in the U.S. has proven to be one of the most divisive issues in management of public lands. According to federal land management agencies, without population regulation, horses can increase at the rate of 15-20% a year on arid rangelands with inadequate numbers of natural, large predators. Horses compete for valuable forage and water resources alongside cattle and native wildlife in delicate riparian areas highly susceptible to the negative ecological effects of soil compaction and overgrazing. Most U.S. management policies, therefore, call for increased removal of free-roaming horses as they are categorized as “un-authorized livestock” or "non-native" species. Wild horse advocates, however, continue to petition for improvement in animal welfare and expansion of the horses’ territory. With heightened social conflict spurred by animal rights and ecological concerns, not to mention the often-stark differences over what really “belongs” on the landscape, the success of appropriate management strategies hinges on managing agencies’ preparedness and ability to respond in a timely and inclusive manner. A critical element of the management context is the public’s views toward the wild horse and the science used to manage them. Synthesizing the vast literature in the history and philosophy of wildlife management in the American West, and utilizing an ethnographic and case study approach, my research examines the range of stakeholder concerns and analyzes the factors that have led to the disconnect between public values of wild horses and public policy for the management of the federally protected free-roaming horses in Arizona’s Apache-Sitgreaves National Forests.
ContributorsMurphree, Julie Joan (Author) / Minteer, Ben A. (Thesis advisor) / Schoon, Michael (Thesis advisor) / Bradshaw, Karen (Committee member) / Chew, Matthew (Committee member) / Arizona State University (Publisher)
Created2022
Description
Computational models have long been used to describe and predict the outcome of complex immunological processes. The dissertation work described here centers on the construction of multiscale computational immunology models that derives biological insights at the population, systems, and atomistic levels. First, SARS-CoV-2 mortality is investigated through the lens of the predicted robustness of CD8+ T cell responses in 23 different populations. The robustness of CD8+ T cell responses in a given population was modeled by predicting the efficiency of endemic MHC-I protein variants to present peptides derived from SARS-CoV-2 proteins to circulating T cells. To accomplish this task, an algorithm, called EnsembleMHC, was developed to predict viral peptides with a high probability of being recognized by CD T cells. It was discovered that there was significant variation in the efficiency of different MHC-I protein variants to present SARS-CoV-2 derived peptides, and countries enriched with variants with high presentation efficiency had significantly lower mortality rates. Second, a biophysics-based MHC-I peptide prediction algorithm was developed. The MHC-I protein is the most polymorphic protein in the human genome with polymorphisms in the peptide binding causing striking changes in the amino acid compositions, or binding motifs, of peptide species capable of stable binding. A deep learning model, coined HLA-Inception, was trained to predict peptide binding using only biophysical properties, namely electrostatic potential. HLA-Inception was shown to be extremely accurate and efficient at predicting peptide binding motifs and was used to determine the peptide binding motifs of 5,821 MHC-I protein variants. Finally, the impact of stalk glycosylations on NL63 protein dynamics was investigated. Previous data has shown that coronavirus crown glycans play an important role in immune evasion and receptor binding, however, little is known about the role of the stalk glycans. Through the integration of computational biology, experimental data, and physics-based simulations, the stalk glycans were shown to heavily influence the bending angle of spike protein, with a particular emphasis on the glycan at position 1242. Further investigation revealed that removal of the N1242 glycan significantly reduced infectivity, highlighting a new potential therapeutic target. Overall, these investigations and associated innovations in integrative modeling.
ContributorsWilson, Eric Andrew (Author) / Anderson, Karen (Thesis advisor) / Singharoy, Abhishek (Thesis advisor) / Woodbury, Neal (Committee member) / Sulc, Petr (Committee member) / Arizona State University (Publisher)
Created2022