Digital Commons Network^™

Unlocking Desistance: The Role Of Executive Functioning In The Rehabilitation Of Correctional Populations, Danielle Nesi

Dissertations

In a secondary analysis of data collected by Fishbein and Sheppard (2006), the current study sought to explore the relationships among age, executive functioning and antisocial behavior (e.g., changes in institutional infractions, self-reported aggression and reactivity) among a sample of incarcerated men enrolled in a correctional Cognitive Behavioral Therapy (CBT) program between 2003 and 2005. Specifically, the current study examined whether baseline executive abilities predicted misconduct and whether this relationship was mediated by treatment engagement. The relationships among age, treatment engagement, and changes in executive functioning post-treatment were also considered. It was predicted that improvements in executive functioning would vary …

Constructing Engineering Knowledge Through Tinkering, Reflection, And Digital Storytelling, Lauren C. Pagano

Dissertations

Educators and researchers suggest that informal learning activities in museums, libraries, and families’ homes can promote children’s science, technology, engineering, and mathematics (STEM) learning (Sobel & Jipson, 2016). Tinkering, a form of hands-on problem-solving involving real tools and materials, is one way to engage families in engineering design processes. However, tinkering activities vary greatly in terms of the goals presented, the resources available, and opportunities to test (Bevan, 2017). Across three studies, we examined how variations in tinkering exhibit design and parent-child interaction relate to children’s memory and STEM learning. In Study 1, we examined the structure and content of …

Leveraging Moral Foundations To Increase Covid-19 Vaccination, Cara Elizabeth Ray

Dissertations

Despite the vast majority of the eligible U.S. adult population being vaccinated against COVID-19, geographical clusters of unvaccinated individuals pose a substantial risk of outbreak. It is important to encourage as many individuals as possible to vaccinate against COVID-19 to reduce its spread and severity. Past research has identified endorsement of the purity and liberty moral foundations – intuitive domains of moral concern – as predictors of vaccine hesitancy and political conservatism, while conservatism is itself associated with vaccine hesitancy. Across two online surveys, I examined the effects of a message invoking the purity and liberty foundations as well as …

White Enigma: Opacity, Perspective, And The Theological Formation Of White Subjectivity, Nathan David Pederson

Dissertations

I argue that examining the concept of “opacity” can hold together a growing tension in a contemporary phenomenology of whiteness: on the one hand, an insistence that whiteness is subjective and habitual; on the other, the insistence that whiteness is also an active, objective world horizon or ontologizing force that shapes the subject. In making this argument, I explain how the notion of opacity shapes a hermeneutical phenomenology of whiteness that can wrestle with how whiteness hides itself as benign through utilizing a symbolism of evil within theological discourse, even as it can come to function more concretely in the …

The Role Of Glycogen Synthase Kinase 3 Β (Gsk-3Β) At The Cardiac Myofilament, Marisa Jean Stachowski

Dissertations

Altered kinase activity and localization is gaining appreciation as a mechanism contributing to cardiovascular disease. Previous work suggests that the kinase glycogen synthase kinase 3 β (GSK-3β) regulates contractile function of the myofilament, but this work was performed in vitro. The goal of this work was to investigate GSK-3β’s in vivo role in regulating myofilament function, the mechanisms involved, and the translational relevance in disease. GSK-3β’s myofilament localization was confirmed in wild type mouse and human tissue via western blot of myofilament enriched tissue and immunofluorescence. These experiments also revealed that GSK-3β phosphorylated at Y216 binds to the z-disc. We …

Healing Earth In A Time Of Crisis: Curriculum For Integral Ecology, Caleb Steindam

Dissertations

This intrinsic multiple case study examined secondary- and university-level educators’ experiences teaching with Healing Earth, a curriculum developed by the International Jesuit Ecology Project at Loyola University Chicago, which merges scientific, social, spiritual, and ethical analyses of pressing ecological issues. Based on the conceptual framework of integral ecology, Healing Earth is a response to Pope Francis’s (2015a) call for “a new way of thinking about human beings, life, society and our relationship with nature” (§215).

This study primarily consisted of in-depth interviews with educators who have used Healing Earth in a variety of secondary and post-secondary Catholic educational contexts. A …

Turn Not Thine Eyes: Holy Faces, Saving Gazes, And The Theology Of Attention, Jacob W. Torbeck

Dissertations

Jacob W. TorbeckLoyola University Chicago TURN NOT THINE EYES: HOLY FACES, SAVING GAZES, AND THE THEOLOGY OF ATTENTION Theoretical Theologies and Practical Theologies have historically been contrasted with one another as distinct but connected disciplines, a contrast with roots in the figures of Plato and Aristotle, or Mary and Martha. Over the centuries, with the increasing ability of theologians to specialize, theoretical theologians have accused practical theologians as ignoring spiritual realities, while practical theologians have accused theoretical theologians of ignoring material realities. This dissertation puts forward a theological exposition of the notion of contemplative attention that demonstrates the unity and …

A Radically Weak (I)Ncounter: Dorothy Day, The Catholic Worker, And Overcoming Otherness, An Anatheistic Argument For A Political Theology Based In Community, Martin Tomszak

Dissertations

The central goal of this dissertation is to find a way to do theology otherwise; to emphasize the need for radical community within the publics of the Church, the academy, and wider society; and to take seriously what the developing genre of radical political theology has to offer the realm of theo-ethics at both a popular and academic level. Through my chosen lens of anatheistic theology and an emphasis on radical lay community, this work aims to evoke genuine conversation about how the Church, the Catholic Worker Movement, and postmodern critical theory might fit together to address the central concerns …

It Doesn’T Get Better With Time: The Effect Of Housing Insecurity On Rearrest In Polk And Palm Beach County, Quintin Williams

Dissertations

Housing insecurity is one of the main drivers of poverty and inequality in contemporary urban society. We know that this insecurity contributes to poor outcomes for the individuals experiencing it. We know less about how this housing insecurity impacts contact with the criminal justice system. Using event history analysis, this study assesses the effects of housing insecurity in Polk County Iowa and Palm Beach County Florida. Results confirm that housing insecurity increases the risk of being rearrested each day a person is without stable housing. These findings reveal that lack of access to safe, affordable, and stable housing not only …

Does Co-Speech Gesture Support Children’S Analogical Reasoning? An Investigation Into The Differential Effects Of Gesture On Learning, Amy Michelle Wilkinson

Dissertations

A well-established conceptualization of academic capitalism is rooted in the marriage of economic theory and critical social. Significantly, academic capitalism links economic dimensions with the political-ideological transformations of U.S. society associated with the fall of communism and the rise of neoliberalism. Academic capitalism is based on a recognition of the paradoxical nature of higher education and offers a lens through which to examine the ways in which institutions in the United States have come to prioritize learning for the labor market as a private good within the new global economy, while also becoming less beholden to the notion of learning …

Academic Library Succession Planning In The University Of California (Uc) System, Crystal Goldman

Dissertations

The Library and Information Science (LIS) literature has made clear that academic libraries in the U.S. have experienced decades of hiring freezes and budget cuts that reduced staffing overall and eliminated many middle management positions. Consequently, now that baby boomer library managers and administrators are beginning to retire, there are few qualified applicants to replace them. Thus, many in the LIS field have called for better succession planning by top-level library administrators (e.g., Deans, Directors, University Librarians). Few studies, however, have directly addressed this issue by examining these administrators’ perceptions or behavior regarding succession planning. This study begins to fill …

Factors That Affect The Rate Of Preterm Birth: An Examination Of The Inter-Related Impacts Of Social Determinants, Behavior And Physical Health Status, Krystal Michelle Hunter

Dissertations

The work seeks to examine the factors that have significant relationships to the rate of preterm birth (PTB) along with its cost to society.

There are four papers within this work. This purpose of the first paper is to measure the impact that healthy behaviors have on the rate of PTB when modeled with other factors like household demographics, community deprivation, chronic disease and mental health. This work finds that positive health behaviors has a negative relationship with PTB. The interaction between body mass index (BMI) and social class and its relationship to PTB is examined in the second paper. …

Exposing And Fixing Causes Of Inconsistency And Nondeterminism In Clustering Implementations, Xin Yin

Dissertations

Cluster analysis aka Clustering is used in myriad applications, including high-stakes domains, by millions of users. Clustering users should be able to assume that clustering implementations are correct, reliable, and for a given algorithm, interchangeable. Based on observations in a wide-range of real-world clustering implementations, this dissertation challenges the aforementioned assumptions.

This dissertation introduces an approach named SmokeOut that uses differential clustering to show that clustering implementations suffer from nondeterminism and inconsistency: on a given input dataset and using a given clustering algorithm, clustering outcomes and accuracy vary widely between (1) successive runs of the same toolkit, i.e., nondeterminism, and …

Crash Injury Severity Prediction With Artificial Neural Networks, Rima Abisaad

Dissertations

Motor vehicle crashes are one of our nation's most serious social, economic and health issues. They are the leading cause of death among children and young adults, killing approximately 1.35 million people each year. Providing a safe and efficient transportation system is the primary goal of transportation engineering and planning. To help reduce traffic fatalities and injuries on roadways, crash prediction models are used to forecast the injury severity of potential crashes and apply precautionary countermeasures accordingly. Most of these models are reactive as they use historical crash data to categorize crash-related factors. Recently, advancements have been made in developing …

Model Checks For Two-Sample Location-Scale, Atefeh Javidialsaadi

Dissertations

Two-sample location-scale refers to a model that permits a pair of standardized random variables to have a common distribution. This means that if X₁ and X₂ are two random variables with means µ₁ and µ₂ and standard deviations ?₁ and ?₂, then (X₁ - µ₁)/?₁ and (X₂ - µ₂)/?₂ have some common unspecified standard or base distribution F₀. Function-based hypothesis testing for these models refers to formal tests that would help determine whether or not two samples may have come from some location-scale …

On Performance Optimization And Prediction Of Parallel Computing Frameworks In Big Data Systems, Haifa Alquwaiee

Dissertations

A wide spectrum of big data applications in science, engineering, and industry generate large datasets, which must be managed and processed in a timely and reliable manner for knowledge discovery. These tasks are now commonly executed in big data computing systems exemplified by Hadoop based on parallel processing and distributed storage and management. For example, many companies and research institutions have developed and deployed big data systems on top of NoSQL databases such as HBase and MongoDB, and parallel computing frameworks such as MapReduce and Spark, to ensure timely data analyses and efficient result delivery for decision making and business …

Statistics-Based Anomaly Detection And Correction Method For Amazon Customer Reviews, Ishani Chatterjee

Dissertations

People nowadays use the Internet to project their assessments, impressions, ideas, and observations about various subjects or products on numerous social networking sites. These sites serve as a great source of gathering information for data analytics, sentiment analysis, natural language processing, etc. The most critical challenge is interpreting this data and capturing the sentiment behind these expressions. Sentiment analysis is analyzing, processing, concluding, and inferencing subjective texts with the views. Companies use sentiment analysis to understand public opinions, perform market research, analyze brand reputation, recognize customer experiences, and study social media influence. According to the different needs for aspect granularity, …

Machine Learning Techniques For Network Analysis, Irfan Lateef

Dissertations

The network's size and the traffic on it are both increasing exponentially, making it difficult to look at its behavior holistically and address challenges by looking at link level behavior. It is possible that there are casual relationships between links of a network that are not directly connected and which may not be obvious to observe. The goal of this dissertation is to study and characterize the behavior of the entire network by using eigensubspace based techniques and apply them to network traffic engineering applications.

A new method that uses the joint time-frequency interpretation of eigensubspace representation for network statistics …

Coherent Control Of Dispersive Waves, Jimmie Adriazola

Dissertations

This dissertation addresses some of the various issues which can arise when posing and solving optimization problems constrained by dispersive physics. Considered here are four technologically relevant experiments, each having their own unique challenges and physical settings including ultra-cold quantum fluids trapped by an external field, paraxial light propagation through a gradient index of refraction, light propagation in periodic photonic crystals, and surface gravity water waves over shallow and variable seabeds. In each of these settings, the physics can be modeled by dispersive wave equations, and the technological objective is to design the external trapping fields or propagation media such …

Private And Federated Deep Learning: System, Theory, And Applications For Social Good, Han Hu

Dissertations

During the past decade, drug abuse continues to accelerate towards becoming the most severe public health problem in the United States. The ability to detect drug­abuse risk behavior at a population scale, such as among the population of Twitter users, can help to monitor the trend of drug­abuse incidents. However, traditional methods do not effectively detect drug­abuse risk behavior in tweets, mainly due to the sparsity of such tweets and the noisy nature of tweets. In the first part of this dissertation work, the task of classifying tweets as containing drug­abuse risk behavior or not, is studied. Millions of public …

Improving Programming Learners’ Experience Through Interactive Computer Tutor Based Moocs, Ruiqi Shen

Dissertations

With the large demand for technology workers all around the world, more people are learning programming. Studies show that human tutoring is the most effective way to learn for novice programmers. However, problems such as the inaccessibility to physical classes, prohibitive costs, and the lack of educators may limit students' opportunities to learn from these resources. Additionally, because programming is a skill requiring continuous practice and immediate feedback, simply listening to lectures may not be sufficient to learn effectively. This increases the inconvenience of learners who use online learning tools such as Massive Open Online Courses (MOOCs).

In recent years, …

Iii-Nitride Nanostructures: Photonics And Memory Device Applications, Barsha Jain

Dissertations

III-nitride materials are extensively studied for various applications. Particularly, III-nitride-based light-emitting diodes (LEDs) have become the major component of the current solid-state lighting (SSL) technology. Current III-nitride-based phosphor-free white color LEDs (White LEDs) require an electron blocking layer (EBL) between the device active region and p-GaN to control the electron overflow from the active region, which has been identified as one of the primary reasons to adversely affect the hole injection process. In this dissertation, the effect of electronically coupled quantum well (QW) is investigated to reduce electron overflow in the InGaN/GaN dot-in-a-wire phosphor-free white LEDs and to improve the …

Hydrophobically Modified Isosorbide Dimethacrylates As Biomaterials For Bisphenol A Free Dental Fillings, Bilal Marie

Dissertations

Amalgam and Bisphenol A glycerolate dimethacrylate (BisGMA) are the main dental filling materials in use today. Because of the negative perception of amalgam and its lower esthetic appeal, as well as the desire to replace the endocrine disruptor Bisphenol A, which is the building block of BisGMA, there has been a critical need to search for safer alternatives to these dental filling materials.

Isosorbide is a sugar-based molecule generally recognized as safe. It has been extensively studied as a replacement to the Bisphenol A core in various materials. However, isosorbide is extremely hygroscopic, and water uptake in dental fillings causes …

Ecological Restoration Parks In Xi’An, China: An Evolving Type, Han Yan

Dissertations

This dissertation examines four urban ecological restoration projects used as public spaces in the city of Xi'an, China. The overall goal is to understand the social and ecological implications of the site features at both design and planning scale and define what is ecological restoration in China's urban context. The result of the research shows that the top-down planning initiatives approach for establishing ecological restoration sites in urban areas that meet the need for more public open space in addition to restoring healthy urban ecological systems is very different from the definition of what is traditionally understood as "ecological restoration". …

A Vacuum-Driven Distillation Technology Of Aqueous Solutions And Mixtures, Guo Guangyu

Dissertations

Distillation of aqueous solutions and aqueous mixtures has vast industrial applications, including desalination, wastewater treatment, and fruit juice concentration. Currently, two major distillation technologies are adopted in the industry, membrane separation and thermal distillation. However, both of them face certain inevitable drawbacks. Membrane separation has disadvantages as relying on high-grade energy, requiring membrane, fouling problem, narrow treatment range, limited scalability, and vibrating and noisy operating conditions. Traditional thermal distillation technologies can avoid above concerns but has other shortcomings, such as relatively low energy efficiency and yield rate, complicated and bulky system structure, and scaling problem.

This project proposes an innovative …

On Resource-Efficiency And Performance Optimization In Big Data Computing And Networking Using Machine Learning, Wuji Liu

Dissertations

Due to the rapid transition from traditional experiment-based approaches to large-scale, computational intensive simulations, next-generation scientific applications typically involve complex numerical modeling and extreme-scale simulations. Such model-based simulations oftentimes generate colossal amounts of data, which must be transferred over high-performance network (HPN) infrastructures to remote sites and analyzed against experimental or observation data on high-performance computing (HPC) facility. Optimizing the performance of both data transfer in HPN and simulation-based model development on HPC is critical to enabling and accelerating knowledge discovery and scientific innovation. However, such processes generally involve an enormous set of attributes including domain-specific model parameters, network transport …

Electro-Chemo-Mechanics Of The Interfaces In 2d-3d Heterostructure Electrodes, Vidushi Sharma

Dissertations

Unique heterostructure electrodes comprising two-dimensional (2D) materials and bulk three dimensional (3D) high-performance active electrodes are recently synthesized and experimentally tested for their electrochemical performance in metal-ion batteries. Such electrodes exhibit long cycle life while they also retain high-capacity inherent to the active electrode. The role of 2D material is to provide a supportive mesh that allows buffer space for volume expansions upon ion intercalation in the active material and establishes a continuous electronic contact. Therefore, the binding strength between both materials is crucial for the success of such electrodes. Furthermore, battery cycles may bring about phase transformations in the …

Experimental And Computational Studies Of Functionalized Carbon Nanotubes For Use In Energy Storage Devices And Membranes, Emine S. Karaman

Dissertations

Electrolytes with good interfacial stability are a crucial component of any electrochemical device. The development of novel gel polymer electrolytes (GEs) with good interface stability and better manufacturability is important for the development of the next generation electrochemical devices. Gel electrolytes are hybrid electrolyte materials, combining benefits of both liquid and solid systems. Compared with liquid and solid electrolytes, GEs open new design opportunities and do not require rigorous encapsulation methods. In this dissertation, studies on functionalized carbon nanotubes (fCNTs) and graphene oxide (GO) doped polyvinyl alcohol (PVA) based gel electrolytes (GEs) are reported. The ionic conductivity and mechanical strength …

A Practical Approach To Automated Software Correctness Enhancement, Aleksandr Zakharchenko

Dissertations

To repair an incorrect program does not mean to make it correct; it only means to make it more-correct, in some sense, than it is. In the absence of a concept of relative correctness, i.e. the property of a program to be more-correct than another with respect to a specification, the discipline of program repair has resorted to various approximations of absolute (traditional) correctness, with varying degrees of success. This shortcoming is concealed by the fact that most program repair tools are tested on basic cases, whence making them absolutely correct is not clearly distinguishable from making them relatively more-correct. …

Parameter Estimation And Inference Of Spatial Autoregressive Model By Stochastic Gradient Descent, Gan Luan

Dissertations

Stochastic gradient descent (SGD) is a popular iterative method for model parameter estimation in large-scale data and online learning settings since it goes through the data in only one pass. While SGD has been well studied for independent data, its application to spatially-correlated data largely remains unexplored. This dissertation develops SGD-based parameter estimation and statistical inference algorithms for the spatial autoregressive (SAR) model, a common model for spatial lattice data.

This research contains three parts. (I) The first part concerns SGD estimation and inference for the SAR mean regression model. A new SGD algorithm based on maximum likelihood estimator (MLE) …