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This paper examines the Syrian Civil War using seven different civil war settlement theories in order to assess the likelihood of a negotiated settlement ending the conflict. The costs of war, balance of power, domestic political institutions, ethnic identity, divisibility of stakes, veto player, and credible commitment theories were used

This paper examines the Syrian Civil War using seven different civil war settlement theories in order to assess the likelihood of a negotiated settlement ending the conflict. The costs of war, balance of power, domestic political institutions, ethnic identity, divisibility of stakes, veto player, and credible commitment theories were used in a multi-perspective analysis of the Syrian Civil War and the possibility of a peace settlement. It was found that all of the theories except for costs of war and balance of power predict that a negotiated settlement is unlikely to resolve the conflict. Although the Syrian government and the Syrian National Coalition are currently engaged in diplomatic negotiations through the Geneva II conference, both sides are unwilling to compromise on the underlying grievances driving the conflict. This paper ultimately highlights some of the problems inhibiting a negotiated settlement in the Syrian Civil War. These obstacles include: rival ethno-religious identities of combatants, lack of democratic institutions in Syria, indivisibility of stakes in which combatants are fighting for, number of veto player combatant groups active in Syria, and the lack of a credible third party to monitor and enforce a peace settlement.
ContributorsRidout, Scott Jeffries (Author) / Grossman, Gary (Thesis director) / Siroky, David (Committee member) / Barrett, The Honors College (Contributor) / Economics Program in CLAS (Contributor) / School of Politics and Global Studies (Contributor)
Created2014-05
Description
Uninformed people frequently kill snakes without knowing whether they are venomous or harmless, fearing for their safety. To prevent unnecessary killings and to encourage people to be safe around venomous snakes, a proper identification is important. This work seeks to preserve wild native Arizona snakes and promote a general interest

Uninformed people frequently kill snakes without knowing whether they are venomous or harmless, fearing for their safety. To prevent unnecessary killings and to encourage people to be safe around venomous snakes, a proper identification is important. This work seeks to preserve wild native Arizona snakes and promote a general interest in them by using a bag of features approach for classifying native Arizona snakes in images as venomous or non-venomous. The image category classifier was implemented in MATLAB and trained on a set of 245 images of native Arizona snakes (171 non-venomous, 74 venomous). To test this approach, 10-fold cross-validation was performed and the average accuracy was 0.7772. While this approach is functional, the results could be improved, ideally with a higher average accuracy, in order to be reliable. In false positives, the features may have been associated with the color or pattern, which is similar between venomous and non-venomous snakes due to mimicry. Polymorphic traits, color morphs, variation, and juveniles that may exhibit different colors can cause false negatives and misclassification. Future work involves pre-training image processing such as improving the brightness and contrast or converting to grayscale, interactively specifying or generating regions of interest for feature detection, and targeting reducing the false negative rate and improve the true positive rate. Further study is needed with a larger and balanced image set to evaluate its performance. This work may potentially serve as a tool for herpetologists to assist in their field research and to classify large image sets.
ContributorsIp, Melissa A (Author) / Li, Baoxin (Thesis director) / Chandakkar, Parag (Committee member) / Computer Science and Engineering Program (Contributor) / Barrett, The Honors College (Contributor)
Created2017-05
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Elections in the United States are highly decentralized with vast powers given to the states to control laws surrounding voter registration, primary procedures, and polling places even in elections of federal officials. There are many individual factors that predict a person's likelihood of voting including race, education, and age. Historically

Elections in the United States are highly decentralized with vast powers given to the states to control laws surrounding voter registration, primary procedures, and polling places even in elections of federal officials. There are many individual factors that predict a person's likelihood of voting including race, education, and age. Historically disenfranchised groups are still disproportionately affected by restrictive voter registration and ID laws which can suppress their turnout. Less understood is how election-day polling place accessibility affects turnout. Absentee and early voting increase accessibility for all voters, but 47 states still rely on election-day polling places. I study how the geographic allocation of polling places and the number of voters assigned to each (polling place load) in Maricopa County, Arizona has affected turnout in primary and general elections between 2006 and 2016 while controlling for the demographics of voting precincts. This represents a significant data problem; voting precincts changed three times during the time studied and polling places themselves can change every election. To aid in analysis, I created a visualization that allows for the exploration of polling place load, precinct demographics, and polling place accessibility metrics in a map view of the county. I find through a spatial regression model that increasing the load on a polling place can decrease the election-day turnout and prohibitively large distances to the polling place have a similar effect. The effect is more pronounced during general elections and is present at varying levels during each of the 12 elections studied. Finally, I discuss how early voting options appear to have little positive effect on overall turnout and may in fact decrease it.
ContributorsHansen, Brett Joseph (Author) / Maciejewski, Ross (Thesis director) / Grubesic, Anthony (Committee member) / Economics Program in CLAS (Contributor) / School of Mathematical and Statistical Sciences (Contributor) / Computer Science and Engineering Program (Contributor) / Barrett, The Honors College (Contributor)
Created2017-12
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The growing Hispanic population in Phoenix, Arizona frequently lacks financial resources which may limit their access to health care. The goal of this study was to identify the ideal factors in a health insurance plan for the Hispanic/Latino population in Phoenix, AZ. A survey was designed to gather information regarding

The growing Hispanic population in Phoenix, Arizona frequently lacks financial resources which may limit their access to health care. The goal of this study was to identify the ideal factors in a health insurance plan for the Hispanic/Latino population in Phoenix, AZ. A survey was designed to gather information regarding demographics, health insurance, preferences, and affordability. The survey was completed by 260 participants. Several multivariate regressions were run using SAS Statistical Software. The final model generated explained 4.48% of the variation in the data set. It showed that an individual who identified as Hispanic/Latino was 8.2% less likely to have health insurance. In addition, an individual who identified as a US Citizen was 23% more likely to have health insurance. To improve access and enrollment among the Hispanic/Latino population, further investigation is needed to identify relevant communication techniques that increase enrollment among this high-risk community.
ContributorsToo, Rachel Yun-May (Author) / Whisner, Corrie (Thesis director) / Calvin, Samantha (Committee member) / Cook, Aaron (Committee member) / Economics Program in CLAS (Contributor) / School of Molecular Sciences (Contributor) / Barrett, The Honors College (Contributor)
Created2018-05
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Description

Education has been at the forefront of many issues in Arizona over the past several years with concerns over lack of funding sparking the Red for Ed movement. However, despite the push for educational change, there remain many barriers to education including a lack of visibility for how Arizona schools

Education has been at the forefront of many issues in Arizona over the past several years with concerns over lack of funding sparking the Red for Ed movement. However, despite the push for educational change, there remain many barriers to education including a lack of visibility for how Arizona schools are performing at a legislative district level. While there are sources of information released at a school district level, many of these are limited and can become obscure to legislators when such school districts lie on the boundary between 2 different legislative districts. Moreover, much of this information is in the form of raw spreadsheets and is often fragmented between government websites and educational organizations. As such, a visualization dashboard that clearly identifies schools and their relative performance within each legislative district would be an extremely valuable tool to legislative bodies and the Arizona public. Although this dashboard and research are rough drafts of a larger concept, they would ideally increase transparency regarding public information about these districts and allow legislators to utilize the dashboard as a tool for greater understanding and more effective policymaking.

ContributorsColyar, Justin Dallas (Author) / Michael, Katina (Thesis director) / Maciejewski, Ross (Committee member) / Tate, Luke (Committee member) / Computer Science and Engineering Program (Contributor, Contributor) / Barrett, The Honors College (Contributor)
Created2021-05
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As much as SARS-CoV-2 has altered the way humans live since the beginning of 2020,<br/>this virus's deadly nature has required clinical testing to meet 2020's demands of higher<br/>throughput, higher accuracy and higher efficiency. Information technology has allowed<br/>institutions, like Arizona State University (ASU), to make strategic and operational changes to<br/>combat the

As much as SARS-CoV-2 has altered the way humans live since the beginning of 2020,<br/>this virus's deadly nature has required clinical testing to meet 2020's demands of higher<br/>throughput, higher accuracy and higher efficiency. Information technology has allowed<br/>institutions, like Arizona State University (ASU), to make strategic and operational changes to<br/>combat the SARS-CoV-2 pandemic. At ASU, information technology was one of the six facets<br/>identified in the ongoing review of the ASU Biodesign Clinical Testing Laboratory (ABCTL)<br/>among business, communications, management/training, law, and clinical analysis. The first<br/>chapter of this manuscript covers the background of clinical laboratory automation and details<br/>the automated laboratory workflow to perform ABCTL’s COVID-19 diagnostic testing. The<br/>second chapter discusses the usability and efficiency of key information technology systems of<br/>the ABCTL. The third chapter explains the role of quality control and data management within<br/>ABCTL’s use of information technology. The fourth chapter highlights the importance of data<br/>modeling and 10 best practices when responding to future public health emergencies.

ContributorsKandan, Mani (Co-author) / Leung, Michael (Co-author) / Woo, Sabrina (Co-author) / Knox, Garrett (Co-author) / Compton, Carolyn (Thesis director) / Dudley, Sean (Committee member) / Computer Science and Engineering Program (Contributor) / Department of Information Systems (Contributor) / Barrett, The Honors College (Contributor)
Created2021-05
Description

Education is known for being powerful in reducing poverty, improving health, promoting healthier economies, and providing peaceful and productive opportunities for young people worldwide. It’s a key to success that has been threatened in the state of Arizona through low funding, teacher shortages, and a lack of resources. Inadequate learning

Education is known for being powerful in reducing poverty, improving health, promoting healthier economies, and providing peaceful and productive opportunities for young people worldwide. It’s a key to success that has been threatened in the state of Arizona through low funding, teacher shortages, and a lack of resources. Inadequate learning environments further educational inequalities and hinder academic achievement among students. In finding a solution, the objectives of education policy in Arizona are analyzed from an economic and equity standpoint.

ContributorsHernandez Martinez, Chelsea (Author) / Bizuneh, Abyssinia (Co-author) / Bolosan, Kaleo (Co-author) / O'Connor, Brendan (Thesis director) / Garcia, David (Committee member) / Barrett, The Honors College (Contributor) / Economics Program in CLAS (Contributor) / School of Criminology and Criminal Justice (Contributor) / Division of Teacher Preparation (Contributor) / School of Transborder Studies (Contributor)
Created2023-05
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Description
The 2020 U.S. Presidential Election was a presidential election unlike any other in modern U.S. history for several reasons. In the rare defeat of an incumbent president, Joseph Biden secured the title of President of the United States over President Donald Trump. In this victory, Biden flipped several historic battleground

The 2020 U.S. Presidential Election was a presidential election unlike any other in modern U.S. history for several reasons. In the rare defeat of an incumbent president, Joseph Biden secured the title of President of the United States over President Donald Trump. In this victory, Biden flipped several historic battleground states in his favor, in addition to two formerly safe conservative states: Arizona and Georgia. This research seeks to examine the role that the mobilization of voters from working class and majority-minority state legislative districts played in determining the outcome of the election in Arizona and Georgia.
ContributorsHuerta, Marco (Author) / Hero, Rodney (Thesis director) / Dempsey, Matthew (Committee member) / Barrett, The Honors College (Contributor) / School of Politics and Global Studies (Contributor) / Economics Program in CLAS (Contributor)
Created2022-05
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Greenhouse gas emissions (GHG) continue to contribute heavily to global warming. It is estimated that the international community has only until 2050 to eliminate total carbon emissions or risk irreversible climate change. Arizona, despite its vast solar energy resources, is particularly behind in the global transition to carbon-free energy. This

Greenhouse gas emissions (GHG) continue to contribute heavily to global warming. It is estimated that the international community has only until 2050 to eliminate total carbon emissions or risk irreversible climate change. Arizona, despite its vast solar energy resources, is particularly behind in the global transition to carbon-free energy. This paper looks to explore issues that may be preventing Arizona from an efficient transition to carbon-free generation technologies. Identifiable factors include outdated state energy generation standards, lack of oversight and accountability of Arizona’s electricity industry regulatory body, and the ability for regulated utilities to take advantage of “dark money” campaign contributions. Various recommendations for mitigating the factors preventing Arizona from a carbon-free future are presented. Possibilities such as modernizing state energy generation standards, increasing oversight and accountability of Arizona’s electricity industry regulatory body, and potential market restructuring which would do away with the traditional regulated utility framework are explored. The goal is to inform readers of the issues plaguing the Arizona energy industry and recommend potential solutions moving forward.
ContributorsWaller, Troy (Author) / Sheriff, Glenn (Thesis director) / Rule, Troy (Committee member) / Economics Program in CLAS (Contributor) / Dean, W.P. Carey School of Business (Contributor, Contributor) / Barrett, The Honors College (Contributor)
Created2020-12
Description
Since their inception in 1997, Arizona policymakers have debated the merits of Arizona’s income tax credits for contributions to certified school tuition organizations (STOs), though the programs have grown year over year. This study aims to answer lingering questions about the beneficiaries of STO scholarships. First, using publicly available reports

Since their inception in 1997, Arizona policymakers have debated the merits of Arizona’s income tax credits for contributions to certified school tuition organizations (STOs), though the programs have grown year over year. This study aims to answer lingering questions about the beneficiaries of STO scholarships. First, using publicly available reports from the Arizona Department of Revenue, the Arizona Board of Education, and American Community Survey 5-year estimates, multiple regression analysis indicates a weakly negative relationship between scholarship dollars and family income but no statistically significant effect of public-school quality on scholarship dollars. Second, using data from a survey of parents whose students’ attend Arizona private schools, logistic regression suggests a weakly negative relationship between scholarship utilization and family income, with public school quality having no statistically significant effect on STO scholarship utilization. Moreover, multiple regression analysis again shows a weakly negative relationship between scholarship dollars and family income but no statistically significant relationship between public school quality and scholarship dollars. This paper concludes by offering policy suggestions to improve the accountability of these programs.
ContributorsBurruel, Fausto (Author) / Kuminoff, Nicolai (Thesis director) / Lennon, Tara (Committee member) / Barrett, The Honors College (Contributor) / School of Mathematical and Statistical Sciences (Contributor) / Economics Program in CLAS (Contributor) / School of Politics and Global Studies (Contributor)
Created2022-12