Digital Commons Network^™

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 …

Dark Patterns: Effect On Overall User Experience And Site Revisitation, Deon Soul Calawen

Dissertations

Dark patterns are user interfaces purposefully designed to manipulate users into doing something they might not otherwise do for the benefit of an online service. This study investigates the impact of dark patterns on overall user experience and site revisitation in the context of airline websites. In order to assess potential dark pattern effects, two versions of the same airline website were compared: a dark version containing dark pattern elements and a bright version free of manipulative interfaces. User experience for both websites were assessed quantitatively through a survey containing a User Experience Questionnaire (UEQ) and a System Usability Scale …

Kg-Cnn: Augmenting Convolutional Neural Networks With Knowledge Graphs For Multi-Class Image Classification, Aidan O'Neill

Dissertations

Computer vision is slowly becoming more and more prevalent in daily life. Tesla has recently announced that it plans to scale up the manufacturing of their Robotaxis by 2024, with this increase in self-driving vehicles being just one example, the importance of computer vision is growing year by year. Vision can be easy to take for granted, as most humans grow up using vision as their primary way of absorbing environmental information. The way humans process and classify visual information differs significantly from how current computer vision systems process and organise visual information. The human brain can use its past …

The Impact Of Emotion Focused Features On Svm And Mlr Models For Depression Detection, Alexandria Mulligan

Dissertations

Major depressive disorder (MDD) is a common mental health diagnosis with estimates upwards of 25% of the United States population remain undiagnosed. Psychomotor symptoms of MDD impacts speed of control of the vocal tract, glottal source features and the rhythm of speech. Speech enables people to perceive the emotion of the speaker and MDD decreases the mood magnitudes expressed by an individual. This study asks the questions: “if high level features deigned to combine acoustic features related to emotion detection are added to glottal source features and mean response time in support vector machines and multivariate logistic regression models, would …

An Investigation Of The Relationship Between Subjective Mental Workload And Objective Indicators Of User Activity, Greg Byrne

Dissertations

Whilst the concept of physical workload is intuitively understood and readily applicable in system design, the same cannot be said of mental workload (MWL), despite its importance in our increasingly technological society. Despite its origin in the mid 20th century, the very concept of ”mental workload” is still a topic of debate in the literature, although it can be loosely defined as “the amount of mental work necessary for a person to complete a task” (Miller, 1956; Longo, 2014). Several methods have been utilized to measure of MWL, including physiological methods such as neuro-imagery, performance-based metrics, and subjective measures via …

Real-Time Stock Market Recommendation & Prediction Using Multi Source Data, Kalpana Konety

Dissertations

Stock investors must be cognizant of both the current price of their stock and the price at which they want to sell it in the future. This does not stop investors to monitor past price patterns and apply their knowledge to the present. ’Past performance is not an indicator of future success’, as the saying goes. To put it another way, historical stock data alone isn’t enough to forecast future stock prices. Another key factor to consider in a trading strategy is the impact of market psychology. Financial data, which is a type of multimedia data, provides a wealth of …

The Emotional Side Of Dynamic Assessment: L2 Writing From Vygotsky's Perezhivanie Lens, Ali Kushki

Dissertations

This qualitative multiple-case study investigated the emotional perceptions of English-as-a-foreign language learners (EFLs) and an English writing instructor as they met online via the Zoom application. Dynamic Assessment (DA) and the Vygotskyan perezhivanie notion guided the study. DA is an interactive assessment approach that combines instruction and assessment processes during student-instructor interactions with the goal of diagnosing and developing learners’ abilities. As to the perezhivanie notion, Vygotsky (1994) argued for uncovering the particular prism through which the individual refracts (i.e., shapes) the influence of the environment, and how she “becomes aware of, interprets, and emotionally relates to a certain event” …

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 …

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 …

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 …

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 …

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) …

Electric-Field-Driven Processes In Multiphase Fluid Systems, Qian Lei

Dissertations

Advantages of using electric fields in miniaturized apparatuses for a wide range of applications are revealed by numerous experimental and theoretical studies over the last several decades as it offers a simple and efficient method for manipulation of multiphase fluid systems. This approach is considered to be especially beneficial for control of boiling processes and colloidal suspensions considered in the presented work.

Boiling. Today's trends for enhancing boiling heat transfer in terrestrial and space applications focus on removal of bubbles to prevent formation of a vapor layer over the surface at a high overheat. In contrast, this dissertation presents a …

Machine Learning And Computer Vision In Solar Physics, Haodi Jiang

Dissertations

In the recent decades, the difficult task of understanding and predicting violent solar eruptions and their terrestrial impacts has become a strategic national priority, as it affects the life of human beings, including communication, transportation, the power grid, national defense, space travel, and more. This dissertation explores new machine learning and computer vision techniques to tackle this difficult task. Specifically, the dissertation addresses four interrelated problems in solar physics: magnetic flux tracking, fibril tracing, Stokes inversion and vector magnetogram generation.

First, the dissertation presents a new deep learning method, named SolarUnet, to identify and track solar magnetic flux elements in …

Design And Learning-Based Decoding Of Low-Density-Parity-Check Codes For Multiterminal Communication, Salman Habib

Dissertations

The field of information theory was initiated by Claude Shannon in 1948. According to his most notable work, data can be transmitted reliably over a noisy communication channel with high probability, as long as a suitable coding scheme is employed to protect the data from channel noise. Since then, coding theorists have made numerous attempts to design low-complexity error correcting schemes which achieve the Shannon limit.

In the 1960s, Robert Gallager introduced sparse graph-based low-density-parity-check (LDPC) codes which are practically suitable for various coding applications, mainly due to their low encoding and decoding complexity compared to classical codes (e.g., Reed-Muller …

Fluorescence Probes For Bioimaging: Synthesis, Photophysical Properties And Applications, Mehrun Nahar Uddin

Dissertations

Fluorescent probes are a vital tool in the study of cell imaging. There are many types of fluorescent probes ranging from inorganic and organic nanoparticles to organic molecules. When used judiciously, they can help provide essential information on cellular structure and function. The introduction of two-photon microscopy has expanded the need for new probes, in particular near-infrared (NIR) absorbing and emitting fluorescent probes. The photochemical and photophysical properties of NIR probes play a crucial role in their effectiveness in cell imaging by both conventional and two-photon excitation (2PE) microscopy. In this research, the synthesis, photophysical properties, and two-photon absorption (2PA) …

Bodipy Based Photodynamic Therapy And Potassium Probes, Xiangshan Liu

Dissertations

Boron dipyrromethene (BODIPY) has become more and more popular in photophysical and biological applications. BODIPY based fluorescence compounds have numerous advantage properties including low toxicity, high absorption extinction coefficients, high fluorescence quantum yields, sharp fluorescence emissions, and resistance to photobleaching. All the good properties lead to the wide applications of BODIPY based compounds. In this research, two different kinds of BODIPY are synthesized. Firstly, BDBrC containing carbazole and BODIPY core is synthesized. Cellular uptake research shows BDBrC can target on lysosome and singlet oxygen generation research result indicates that BDBrC can be used in photodynamic therapy. BDBrC also shows pH-sensitive …

A Comparison Of Two Debriefing Methods On Clinical Reasoning Outcomes, Learner Satisfaction With Debriefing And Reflection, Clinical Learning And Clinical Reasoning, And Psychological Safety Of Nurse Orientees In Simulation-Based Education, Lori A. Persico

Dissertations

Simulation-based education is a teaching method used successfully in military, aviation, and medical education; however, the evidence rarely indicates how debriefing affects the learners' experiences. Debriefing is an essential component of simulation-based education that fosters conceptual learning, critical thinking, and clinical reasoning. The purpose of this study was to compare the effects of two different debriefing methods on nurses' perceptions of psychological safety, satisfaction with development of clinical reasoning skills, and satisfaction with learning.

Simulated Presence Use For Quality Of Life Maintenance And Reduction Of Symptoms Of Distress In Persons Living With Dementia In Long-Term Care, Erin E. Bush

Dissertations

Nursing home residents with dementia often have an array of neuropsychiatric symptoms, including dementia-related agitation. It is theorized that many of these agitation symptoms occur due to unmet psychosocial needs that could be met by the presence of a caring nursing staff member, family member, or friend.

The purpose of this study was to determine whether live simulated presence improves dementia-related agitation when offered, identify barriers and facilitators to simulated presence between caregivers and residents of long-term care during the COVID-19 pandemic, and to determine if live simulated presence by a caregiver delivered one-on-one improved quality of life in long-term …

New Nurses' Experiences In The Lateral Violence Zone: A Grounded Theory, Mary Lillian Hanks

Dissertations

The impact of lateral violence on nurses and the nursing profession contribute to the nursing shortage and has negative effects on patient care (Vessey, DeMarco, Gaffney, & Budin, 2009). According to the Center for American Nurses (CENTER, 2008), lateral violence and bullying are an everyday occurrence among health care professionals. Nurses must gain real world experiences to deliver quality, safe, and effective patient care (Benner, Surphen, Leonard, & Day, 2010). Unfortunately, there are experienced nurses who are unable or unwilling to help novice nurses transition into their new role. Impaired relationships among nurses can lead to absenteeism, medical errors, and …

To Lift Or Not To Lift: An Institutional Ethnography Of Patient Handling Practices, Hans-Peter De Ruiter

Dissertations

The handling (lifting, mobilizing, moving etc) of patients is an integral part of the carework in health-care institutions. For obvious reasons, this puts healthcare providers at risk for musculoskeletal injuries (MSIs); furthermore the risk of such injuries has been considered an inherent risk of care work. In the last decade a concerted effort has been made to decrease (with the goal of eliminating) caregiver injuries by implementing safe patient handling programs (SPHP). These programs are presented as evidence-based algorithms that require the use of mechanical lifting devices. Institutions implement SPHPs as policies and procedural guidelines to which caregivers must conform. …

The Lived-Experience Of Novice Nurse's Actualizing Clinical Reasoning In Academic Simulation, Mary Catherine Brinker

Dissertations

The purpose of this existential-phenomenological study was to address the first-person perspective of what it is like to experience clinical reasoning during a simulation. It was not known how a novice nurse would describe the experience of actualizing clinical reasoning during the academic simulation experience. In order to maintain the firstperson perspective, all presuppositions were eliminated. There were no instruments used in the data collection process, and no theories or models that guided this research. The researcher integrated Amedeo Giorgi's method of analysis to discover the psychological acts of the first person (novice nurse) to address the unknown. The research …

Implementation Of An Opiate Use Disorder (Oud) Screening Tool To Reduce Opioid Abuse In A Pain Management Clinic, Brian D. Pervis

Dissertations

The long-term use of opioids to manage chronic pain in those with an opiate use disorder (OUD) is dangerous and poses a considerable risk of death. Pain management providers must have protocols and tools in place for OUD screening and referral. If OUD is not managed correctly, such as through provider education, screening, and referral, morbidity and mortality rates will severely affect society (Centers for Disease Control and Prevention, 2020). This quality improvement (QI) project's PICOT was among providers in a pain management treatment center, how will implementing an evidence-based OUD screening tool, compared to no screening tool, affect OUD …

Community College Nursing Students' Experience Of Repeating A Course After Academic Failure, Lisa S. Lewis

Dissertations

This narrative inquiry study looked at community college nursing student repeaters, those who have failed a required nursing course and then gone on to repeat the course. Nursing student repeaters are a population at especially high risk for attrition, and about whom little is known. The community college setting is an important site of nursing education, where approximately half of new nurses do their pre-licensure schooling and where attrition is a particular problem. Fourteen nursing student repeaters were interviewed and eleven of them provided a letter of advice to a future nursing student repeater. While each participant had a unique …

A Delphi Study Of The Most Desirable Qualifications For Selecting Entry-Level School Site Administrators With No Prior Administrative Experience, Toshimi Minami

Dissertations

Purpose: The purpose of this policy Delphi study was to identify the qualifications expert K-12 Human Resources administrators identify as most important when selecting a candidate with no prior administrative experience for an entry-level administrative position. It was also the purpose to have the experts rate the importance of the identified qualifications and have the experts describe what they look for in the top-rated identified qualifications.

Methodology: The research design used a Delphi approach allowing data collection from a panel of experts. The Delphi study collected qualitative and quantitative data during various rounds of electronic surveys. The electronic surveys consisted …