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- Genre: Academic theses
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ABSTRACT Research has shown that the manner in which people are treated in their interactions with agents of the criminal justice system matters. People expect criminal justice officials to treat them fairly and with honesty and respect, which is the basis for procedural justice. When people are treated in a procedurally just and equitable manner they will view the system as legitimate and will be more likely to voluntarily comply and cooperate with legal system directives. People who have personal or vicarious experiences of unfair or unjust interactions with the legal system tend to view the system as less legitimate and are less likely to comply and cooperate when they have contact with representatives of the system. This study examines a random sample of 337 arrestees in Maricopa County, Arizona who have been interviewed as a part of the Arizona Arrestee Reporting Information Network. Descriptive statistics and regression analysis are used to examine views of the procedural justice experienced by arrestees during arrest, perceptions of police legitimacy by arrestees, voluntary compliance to the law, and voluntary cooperation with police. Results of the study show that perceptions of legitimacy work through procedural justice, and that procedurally just interactions with police mediate racial effects on views of legitimacy. Views of procedural justice and legitimacy increase cooperation. No variables in this study were significantly related to compliance.
ContributorsJorgensen, Cody (Author) / Ready, Justin (Thesis advisor) / White, Michael (Committee member) / Katz, Charles (Committee member) / Arizona State University (Publisher)
Created2011
Description
In this thesis I introduce a new direction to computing using nonlinear chaotic dynamics. The main idea is rich dynamics of a chaotic system enables us to (1) build better computers that have a flexible instruction set, and (2) carry out computation that conventional computers are not good at it. Here I start from the theory, explaining how one can build a computing logic block using a chaotic system, and then I introduce a new theoretical analysis for chaos computing. Specifically, I demonstrate how unstable periodic orbits and a model based on them explains and predicts how and how well a chaotic system can do computation. Furthermore, since unstable periodic orbits and their stability measures in terms of eigenvalues are extractable from experimental times series, I develop a time series technique for modeling and predicting chaos computing from a given time series of a chaotic system. After building a theoretical framework for chaos computing I proceed to architecture of these chaos-computing blocks to build a sophisticated computing system out of them. I describe how one can arrange and organize these chaos-based blocks to build a computer. I propose a brand new computer architecture using chaos computing, which shifts the limits of conventional computers by introducing flexible instruction set. Our new chaos based computer has a flexible instruction set, meaning that the user can load its desired instruction set to the computer to reconfigure the computer to be an implementation for the desired instruction set. Apart from direct application of chaos theory in generic computation, the application of chaos theory to speech processing is explained and a novel application for chaos theory in speech coding and synthesizing is introduced. More specifically it is demonstrated how a chaotic system can model the natural turbulent flow of the air in the human speech production system and how chaotic orbits can be used to excite a vocal tract model. Also as another approach to build computing system based on nonlinear system, the idea of Logical Stochastic Resonance is studied and adapted to an autoregulatory gene network in the bacteriophage λ.
ContributorsKia, Behnam (Author) / Ditto, William (Thesis advisor) / Huang, Liang (Committee member) / Lai, Ying-Cheng (Committee member) / Helms Tillery, Stephen (Committee member) / Arizona State University (Publisher)
Created2011
Description
Knowing that disorder is related to crime, it has become essential for criminologists to understand how and why certain individuals perceive disorder. Using data from the Perceptions of Neighborhood Disorder and Interpersonal Conflict Project, this study uses a fixed photograph of a neighborhood, to assess whether individuals "see" disorder cues. A final sample size of n=815 respondents were asked to indicate if they saw particular disorder cues in the photograph. The results show that certain personal characteristics do predict whether an individual sees disorder. Because of the experimental design, results are a product of the individual's personal characteristics, not of the respondent's neighborhood. These findings suggest that the perception of disorder is not as clear cut as once thought. Future research should explore what about these personal characteristics foster the perception of disorder when it is not present, as well as, how to fight disorder in neighborhoods when perception plays such a substantial role.
ContributorsScott, Christopher (Author) / Wallace, Danielle (Thesis advisor) / Katz, Charles (Committee member) / Ready, Justin (Committee member) / Arizona State University (Publisher)
Created2013
Description
Complex dynamical systems consisting interacting dynamical units are ubiquitous in nature and society. Predicting and reconstructing nonlinear dynamics of units and the complex interacting networks among them serves the base for the understanding of a variety of collective dynamical phenomena. I present a general method to address the two outstanding problems as a whole based solely on time-series measurements. The method is implemented by incorporating compressive sensing approach that enables an accurate reconstruction of complex dynamical systems in terms of both nodal equations that determines the self-dynamics of units and detailed coupling patterns among units. The representative advantages of the approach are (i) the sparse data requirement which allows for a successful reconstruction from limited measurements, and (ii) general applicability to identical and nonidentical nodal dynamics, and to networks with arbitrary interacting structure, strength and sizes. Another two challenging problem of significant interest in nonlinear dynamics: (i) predicting catastrophes in nonlinear dynamical systems in advance of their occurrences and (ii) predicting the future state for time-varying nonlinear dynamical systems, can be formulated and solved in the framework of compressive sensing using only limited measurements. Once the network structure can be inferred, the dynamics behavior on them can be investigated, for example optimize information spreading dynamics, suppress cascading dynamics and traffic congestion, enhance synchronization, game dynamics, etc. The results can yield insights to control strategies design in the real-world social and natural systems. Since 2004, there has been a tremendous amount of interest in graphene. The most amazing feature of graphene is that there exists linear energy-momentum relationship when energy is low. The quasi-particles inside the system can be treated as chiral, massless Dirac fermions obeying relativistic quantum mechanics. Therefore, the graphene provides one perfect test bed to investigate relativistic quantum phenomena, such as relativistic quantum chaotic scattering and abnormal electron paths induced by klein tunneling. This phenomenon has profound implications to the development of graphene based devices that require stable electronic properties.
ContributorsYang, Rui (Author) / Lai, Ying-Cheng (Thesis advisor) / Duman, Tolga M. (Committee member) / Akis, Richard (Committee member) / Huang, Liang (Committee member) / Arizona State University (Publisher)
Created2012
Description
The effectiveness of police behavior on criminal activity has improved over the last thirty years. Yet, some police practices remain ineffective against crime. Because there is the potential for disconnect between their behavior and crime control, the police's legitimacy is threatened. Legitimacy is important because its acquisition is requisite for any organization to exist. Police therefore look to other sources of legitimacy, such as their institutional environment: The network of agencies who share similar challenges, and the collection of entities that influence the form and function of the police (e.g., sovereigns). When the police consider the practices and expectations of their institutional environment through the process of isomorphism, agencies resemble one another despite idiosyncratic exigencies. This process endows them with legitimacy. Largely studied at the interorganizational level, isomorphism can also apply at the intraorganizational level. This study considers the latter level of analysis. Because the study of isomorphism in policing has lacked empirical assessment, the current study borrowed from the field of spatial analysis. This is feasible insofar as police behavior can be understood territorially, including isomorphic processes. By controlling for the most pertinent territorial predictors of police behavior, spatial dependence can be understood as the manifestation of isomorphism. Further, local indicators of spatial autocorrelation in interaction with spatial dependence can be understood as the institutional influence of sovereigns. Considerable attention is spent elaborating these concepts. Across four dependent variables (juvenile arrests made by the District of Columbia Metropolitan Police Department for 2008 for violent crime, property crime, drug crime, and gun crime), isomorphic processes were overwhelmed by ecological variables for three criteria. For juvenile drug arrests, the behavior of distinct areal units was influenced by several sovereign entities from within the police department. Methodologically, this study introduces a novel empirical way of exploring isomorphism. Theoretically, it enriches the study of isomorphism by introducing the importance of territoriality. In terms of police practice, it suggests an innovative method for police organizational change, a process that is typified by resistance. By engaging sovereign entities in the change process, this resistance can be overcome in a naturally occurring ecological phenomenon.
ContributorsCooper, Jonathon A., 1982- (Author) / White, Michael D. (Thesis advisor) / Rodriguez, Nancy (Committee member) / Katz, Charles (Committee member) / Kane, Robert J. (Committee member) / Arizona State University (Publisher)
Created2012
Description
What can classical chaos do to quantum systems is a fundamental issue highly relevant to a number of branches in physics. The field of quantum chaos has been active for three decades, where the focus was on non-relativistic quantumsystems described by the Schr¨odinger equation. By developing an efficient method to solve the Dirac equation in the setting where relativistic particles can tunnel between two symmetric cavities through a potential barrier, chaotic cavities are found to suppress the spread in the tunneling rate. Tunneling rate for any given energy assumes a wide range that increases with the energy for integrable classical dynamics. However, for chaotic underlying dynamics, the spread is greatly reduced. A remarkable feature, which is a consequence of Klein tunneling, arise only in relativistc quantum systems that substantial tunneling exists even for particle energy approaching zero. Similar results are found in graphene tunneling devices, implying high relevance of relativistic quantum chaos to the development of such devices. Wave propagation through random media occurs in many physical systems, where interesting phenomena such as branched, fracal-like wave patterns can arise. The generic origin of these wave structures is currently a matter of active debate. It is of fundamental interest to develop a minimal, paradigmaticmodel that can generate robust branched wave structures. In so doing, a general observation in all situations where branched structures emerge is non-Gaussian statistics of wave intensity with an algebraic tail in the probability density function. Thus, a universal algebraic wave-intensity distribution becomes the criterion for the validity of any minimal model of branched wave patterns. Coexistence of competing species in spatially extended ecosystems is key to biodiversity in nature. Understanding the dynamical mechanisms of coexistence is a fundamental problem of continuous interest not only in evolutionary biology but also in nonlinear science. A continuous model is proposed for cyclically competing species and the effect of the interplay between the interaction range and mobility on coexistence is investigated. A transition from coexistence to extinction is uncovered with a non-monotonic behavior in the coexistence probability and switches between spiral and plane-wave patterns arise. Strong mobility can either promote or hamper coexistence, while absent in lattice-based models, can be explained in terms of nonlinear partial differential equations.
ContributorsNi, Xuan (Author) / Lai, Ying-Cheng (Thesis advisor) / Huang, Liang (Committee member) / Yu, Hongbin (Committee member) / Akis, Richard (Committee member) / Arizona State University (Publisher)
Created2012
Description
Effectiveness and efficiency of the police have been contentious topics from the public perspective. Police departments have developed policies to help better their patrol officers' effectiveness on the streets in both quality and timeliness. Although there have been few recent studies about the response time of officers to calls for service, this is a subject that should not go overlooked. As an important aspect to the patrol officer's repertoire, response time can have effects on the community and its perception on the police. This study uses a multi-level modeling approach to examine the effects of incident and neighborhood factors on police response time within a medium size Southwest city. Police departments use a scale to determine the priority of a call for service, commonly referred to as the PRI. This index scale was found to have the most effect on the response times, while a few cyclical patterns were obtained of level 1 variables. Neighborhood characteristics showed significant effects, measuring structural disadvantage, however, caution should be used in generalizing these findings to other public jurisdictions.
ContributorsSullivan, Eamon (Author) / Ready, Justin (Thesis advisor) / Wallace, Danielle (Committee member) / Katz, Charles (Committee member) / Arizona State University (Publisher)
Created2012
Description
Body-worn cameras and early intervention systems have become best practices for police departments. A wide body of empirical work has examined body-worn cameras, and there is a growing focus on early intervention systems. However, little research has examined how these mechanisms of accountability influence officer behavior when employed together. Further, little attention has explored whether the effects of body-worn cameras and early intervention systems are stable by officer gender and race, important and largely untested assumptions of each program. To address these gaps, the current study uses longitudinal, administrative data from the Phoenix Police Department to examine patrol officer misconduct between January 1, 2016, and December 31, 2020. Generalized estimating equation models predict seven alleged and sustained misconduct outcomes, including police crime, use of force, harassment/conduct unbecoming, obstruction of justice, neglect of duty, traffic-related, and an overall measure of misconduct. The findings revealed that body-worn camera implementation and activation and early intervention system implementation and referrals individually and in combination were associated with very few substantive changes in officer misconduct. Increases in body-worn camera activation were associated with reductions in sustained police crime (i.e., felonies and misdemeanors), while officers who received an early intervention system referral were more likely to be alleged of police crime in the future. These findings were stable by officer gender and race. Further, past work demonstrates that implementing accountability programs can lead officers to less self-initiated engagement with the public. The current study reaffirmed that body-worn cameras and early intervention systems have unintended effects on officers’ proactive behaviors with unique changes in arrests, citations, and self-initiated incidents across accountability program measures. Given the importance of addressing officer misconduct to build and maintain community trust, the rapid expansion of body-worn cameras and early intervention systems across the United States, and the cost of these systems, it is vital that police departments consider the accountability programs they implement and whether and how these programs influence officer behavior. The current study provides insight into this process in one police agency and offers policy implications and directions for future research.
ContributorsFreemon, Kayla (Author) / Katz, Charles (Thesis advisor) / Wallace, Danielle (Committee member) / Huebner, Beth (Committee member) / Arizona State University (Publisher)
Created2023
Description
Mexican drug cartels have been a difficult group to get official data on because of the clandestine nature of their operations and the inherent dangers associated with any type of research on these groups. Due to the close relationship that the United States and Mexico share, the United States being a heavy demander of illicit drugs and Mexico being the supplier or the transshipment point, research that sheds light on cartels and their effects is necessary in order to solve this problem. A growing concern is that cartels have been seeking to improve their international infrastructure. This could potentially be done by partnering with gangs located in the United States to help with the distribution of drugs. The author uses data from the 2009 and 2010 Arizona Gang Threat Assessment and three sets of analyses (dummy variable regression, change score, multinomial logistic) to shed light on the possible partnership between cartels and U.S. based gangs. Primarily using the varying level of intervention strategies practiced by police departments throughout the state of Arizona, this study is exploratory in nature, but attempts to find the effectiveness of intervention strategies on "cartel affiliated" gangs, as identified by federal authorities, and how police departments respond towards these same groups. With the current data, there was no significant evidence that suggests that intervention strategies were less effective on "cartel affiliated" gangs or that police departments were responsive towards these “affiliated” gangs.
ContributorsMora, Victor, M.S (Author) / Sweeten, Gary (Thesis advisor) / Wang, Xia (Committee member) / Katz, Charles (Committee member) / Arizona State University (Publisher)
Created2015
Description
This study is an in-depth examination of thirty-one commercial marijuana growers in four states in the United States. Presently, federal law prohibits marijuana production, but twenty-five states and the District of Columbia allow some provision for marijuana production. Despite massive federal campaigns against marijuana growth, the growers themselves have received comparatively little attention. This study investigates three questions: 1) to what extent do commercial marijuana growers meet life-course criminology’s expectations of offenders; 2) how do growers learn the requisite norms, knowledge, and skills to be successful; and 3) to what extent do growers comply with state laws, and why? The results find little-support for life-course variables. While social learning theory is supported, the results also indicate that independent learning through trial and error and learning through various media are relevant to knowledge and skill acquisition. Respondents adopted a variety of strategies regarding state laws, with partial-compliance in order to minimize risk being the most common. Implications for both theory and policy are discussed.
ContributorsLouton, Brooks (Author) / Decker, Scott (Thesis advisor) / Wallace, Danielle (Committee member) / Katz, Charles (Committee member) / Arizona State University (Publisher)
Created2016