Digital Commons Network^™

Authenticity Can Be Costly: Understanding School Belonging Among Latine Immigrant High School Students, Deborah A. Ith

Graduate Student Theses, Dissertations, & Professional Papers

School belonging is strongly associated with positive outcomes, including overall wellness and higher educational attainment. These outcomes can have lasting impacts on the lives of students. The construct of school belonging is defined as the degree to which a student feels accepted, supported, valued, and comfortable expressing themselves authentically within the school community. Students from culturally and linguistically diverse backgrounds, especially recent immigrants, often have experiences within the school setting that interfere with the development of a strong sense of school belonging. Unfortunately, much of the prior research on school belonging has relied on survey data, correlational studies, or teacher …

Hormonal Decay After Death: Evaluating Dhea-S As A Potential Molecular Marker For Postmortem Estimation, Marisa Lydia Novak

Graduate Student Theses, Dissertations, & Professional Papers

Post-mortem interval (PMI) estimation is a central component of forensic anthropological investigation, but traditional methods for estimating time since death lose accuracy after ~72 hours. Recent research indicates that some steroid hormones may undergo predictable degradation patterns after death, offering potential use as biochemical clocks for PMI estimation beyond this threshold. Dehydroepiandrosterone (DHEA), and its sulfate form (DHEA-S) are of particular interest due to their metabolic stability, systemic influence, and association with trauma. This study investigates whether DHEA-S hormonal degradation patterns correlate with time elapsed since death and body temperature, evaluating their potential as biochemical PMI markers. 160 mL of …

Counselor Educators’ Understanding Of Ableism: A Mixed Methods Study, Cynthia Renee Boyle

Graduate Student Theses, Dissertations, & Professional Papers

Ableism, defined as beliefs and practices that prioritize able-bodiedness and lead to disability discrimination, is a prevalent but often overlooked form of oppression rooted in the historical American legacy of other forms of prejudice, discrimination, and is foundationally rooted in higher education through eugenics. Despite the counseling profession's mandate for multicultural competence, disability issues and ableism are often excluded from mainstream curriculum, contributing to a knowledge gap among counselor educators. This convergent mixed methods study explored and analyzed counselor educators’ understanding of ableism using a cross-sectional questionnaire administered to 48 participants. Quantitative results indicated a positive correlation between more formal …

Histone Deacetylase 6 Inhibition Promotes Microtubule Acetylation And Facilitates Autophagosome-Lysosome Fusion In Dystrophin-Deficient Mdx Mice, Akanksha Agrawal, Erin L Clayton, Courtney L Cavazos, Benjamin A Clayton, George G Rodney

Faculty, Staff and Students Publications

Aim: Duchenne muscular dystrophy is a progressive muscle-wasting disease caused by mutations in the dystrophin gene. Despite progress in dystrophin-targeted gene therapies, it is still a fatal disease requiring novel therapeutics that can be used synergistically or alternatively to emerging gene therapy. Defective autophagy and disorganized microtubule networks contribute to dystrophic pathogenesis, yet the mechanisms by which microtubule alterations regulate autophagy remain elusive. The present study was designed to uncover possible mechanisms underpinning the role of microtubules in regulating autophagy in dystrophic mice.

Methods: Mdx mice were also supplemented with Tubastatin A, a pharmacological inhibitor of histone deacetylase 6, and …

The Influence Of Ultra-Widefield Fluorescein Angiography On The Diagnosis And Management Of Diabetic Retinopathy, Nicole K Scripsema, Tala Al-Khaled, Amy Song, Joelle A Hallak, Rawan Allozi, Aziz A Khanifar, Thanos D Papakostas, Christina Y Weng, Ronald C Gentile, J Peter Campbell, Jessica G Lee, Gennady Landa, Felix Y Chau, William F Mieler, Meenakashi Gupta, Amani A Fawzi, Judy E Kim, Jennifer I Lim, Robison Vernon Paul Chan

Faculty, Staff and Students Publications

Purpose: To study the influence of ultra-widefield fluorescein angiography (FA) on the diagnosis and management of diabetic retinopathy (DR).

Methods: Ten experts in DR completed an online survey in which they were asked to diagnose and manage DR cases using different imaging modalities. Experts independently reviewed 20 cases of DR and provided a diagnosis and management plan for each case, first based on ultra-widefield color-free and red-free images alone and again with the corresponding ultra-widefield FA images. Experts were polled on their diagnostic confidence, use of FA in clinical practice, and opinions on the value of ultra-widefield FA. Based on …

Folate Receptor Β Performs An Immune Checkpoint Function In Activated Macrophages, Fenghua Zhang, Md Yusuf Al-Amin, Sagar Utturkar, Rina Jiang, Gregory Cresswell, Rami Alfar, Ian Ophaug-Johansen, Gabriel Bachman, Madduri Srinivasarao, Richard Finnell, Amaya Puig-Kröger, Timothy Ratliff, Philip S Low

Faculty, Staff and Students Publications

Monocytes and macrophages are sentinels of the immune system that distinguish themselves from other cells by expressing the beta isoform of the folate receptor (FRβ). Because FRβ does not bind folate until the monocyte/macrophage is exposed to immunosuppressive cytokines, the question naturally arose whether FRβ might also perform an immune-related function. To examine this matter, we compared the properties of wild type (WT) and FRβ knockout mice. We observe that FRβ knockout (KO) mice display autoimmune symptoms that can include alopecia, enlarged spleens, and dermatitis, despite having normal cellular folate levels. We further demonstrate that syngeneic tumors (TRAMP C2, MC38) …

A New Interpolated Pseudodifferential Preconditioner For The Helmholtz Equation In Heterogeneous Media, Sebastian Acosta, Tahsin Khajah, Benjamin Palacios

Faculty, Staff and Students Publications

This paper introduces a new pseudodifferential preconditioner for the Helmholtz equation in variable media with absorption. The pseudodifferential operator is associated with the multiplicative inverse to the symbol of the Helmholtz operator. This approach is well suited for the intermediate and high-frequency regimes. The main novel idea for the fast evaluation of the preconditioner is to interpolate its symbol, not as a function of the (high-dimensional) phase-space variables, but as a function of the wave speed itself. Since the wave speed is a real-valued function, this approach allows us to interpolate in a univariate setting even when the original problem …

Correction: Inclusion Of Patient-Centered, Non-Microbiological Endpoints And Biomarkers In Tuberculosis Drug Trials, Andrew R Dinardo, Wilbert Sabiiti, Stephen H Gillespie, Sophia B Georghiou, Norbert Heinrich, Norbert Hittel, Sami Taghlabi, Danna Carrero Longlax, Mikashmi Kohli, Ursula Panzner, Collins Musia, Christoph Lange, Anca Vasiliu, Rob J W Arts, Anna M Mandalakas, Morten Ruhwald, Lieven J Stuyver, Reinout Van Crevel

Faculty, Staff and Students Publications

This corrects the article "Inclusion of patient-centered, non-microbiological endpoints and biomarkers in tuberculosis drug trials", 1570989.

Recognition And Management Of Persistent Chylomicronemia: A Joint Expert Clinical Consensus By The National Lipid Association And The American Society For Preventive Cardiology, Seyedmohammad Saadatagah, Miriam Larouche, Mohammadreza Naderian, Vijay Nambi, Diane Brisson, Iftikhar J Kullo, P Barton Duell, Erin D Michos, Michael D Shapiro, Gerald F Watts, Daniel Gaudet, Christie M Ballantyne

Faculty, Staff and Students Publications

Extreme hypertriglyceridemia, defined as triglyceride (TG) levels ≥1000 mg/dL, is almost always indicative of chylomicronemia. The current diagnostic approach categorizes individuals with chylomicronemia into familial chylomicronemia syndrome (FCS; prevalence 1-10 per million), caused by the biallelic combination of pathogenic variants that impair the lipolytic action of lipoprotein lipase (LPL), or multifactorial chylomicronemia syndrome (MCS, 1 in 500). A pragmatic framework should emphasize the severity of the phenotype and the risk of complications. Therefore, we endorse the term "persistent chylomicronemia (PC)" defined as TG ≥1000 mg/dL in more than half of the measurements to encompass patients with the highest risk for …

Instantaneous Hydrolysis Of Methyl Paraoxon Nerve Agent Simulant Is Catalyzed By Nontoxic Aminoguanidine Imines, Emmanuel Kingsley Darkwah, Puspa Aryal, Chi Zhang, Charles B. Musgrave, William A. Goddard, V. Prakash Reddy

Chemistry Faculty Research & Creative Works

Exposure to organophosphate-based nerve agents and pesticides poses health and security threats to civilians, soldiers, and first responders. Thus, there is a need to develop effective decontamination agents that are nonhazardous to human health. To address this, we demonstrate that instantaneous hydrolysis of methyl paraoxon (Me-POX), a nerve agent simulant, can be achieved in the presence of aminoguanidine imines at pH 10: ● the pyridine-4-aldehyde aminoguanidine-imine (1) and ● the 2,3-butanedione aminoguanidine-imine (2). The hydrolysis of Me-POX under these conditions is substantially faster than that of the state-of-the-art decontaminating agent, Dekon-139 (2,3-butanedione oxime, potassium salt). Furthermore, Dekon-139 shows adverse effects …

Pla-Based Bone Tissue Engineering Scaffolds Incorporating Hydroxyapatite And Bioactive Glass Using Digital Light Processing, Engin Gepek, Fateme Fayyazbakhsh, Lev Suliandziga, Vadym Mochalin, Osman Iyibilgin, Yue-Wern Huang, Ming C. Leu

Chemistry Faculty Research & Creative Works

Bone tissue engineering (BTE) aims to repair bone defects using biocompatible materials with tailored geometries and pore structures, providing appropriate mechanical support and control over biodegradation kinetics to promote bone growth. In this study, we utilized digital light processing (DLP) 3D printing to fabricate scaffolds with varying pore sizes using polymer–ceramic slurries composed of polylactic acid (PLA) as the main polymer matrix, incorporated with hydroxyapatite (HA) and bioactive borate glass (BBG) at various ratios. We studied the effect of composition on rheological behavior, printability, mechanical properties, bioactivity, degradation rate, and biocompatibility. While HA increased viscosity and reduced printing accuracy, it …

Clues To Transcription/Replication Collision-Induced Dna Damage: It Was Rnap, In The Chromosome, With The Fork, Matthew B Cooke, Christophe Herman, Priya Sivaramakrishnan

Faculty, Staff and Students Publications

DNA replication and RNA transcription processes compete for the same DNA template and, thus, frequently collide. These transcription-replication collisions are thought to lead to genomic instability, which places a selective pressure on organisms to avoid them. Here, we review the predisposing causes, molecular mechanisms, and downstream consequences of transcription-replication collisions (TRCs) with a strong emphasis on prokaryotic model systems, before contrasting prokaryotic findings with cases in eukaryotic systems. Current research points to genomic structure as the primary determinant of steady-state TRC levels and RNA polymerase regulation as the primary inducer of excess TRCs. We review the proposed mechanisms of TRC-induced …

Equitable Obligations And Property In Choice Of Law, Tiong Min Yeo

Research Collection Yong Pung How School Of Law

This chapter argues against the unitary characterisation, for choice of law purposes, of equitable principlesas they apply to claims relating to property as either property or obligation, and that they should be characterised as property or obligation in accordance with the functions of the equitable principles in each instance.

Gambaran Kasus Gondongan Pada Sekolah Dasar Negeri 010 Makroman, Samarinda, Dwi Listiani, Ashri Budi Astuti, Jami'an Jami'an, Eko Prasetya Budi, Arif Sumarianto, Irfansyah Baharuddin Pakki

Jurnal Epidemiologi Kesehatan Indonesia

Mumps is an infectious disease caused by a viral infection, often attacking the salivary glands, especially the parotid glands. This disease is self-limiting and common in elementary school children. This study aims to describe the prevalence, symptoms, and impact of mumps in students of SD Negeri 010 Makroman, Samarinda, as well as evaluate risk factors and relevant prevention efforts. With a descriptive research design, data was obtained from a population of 307 students through secondary data from the Makroman Health Center and direct on-site investigations. An attack rate of 3.58% indicates a limited impact on at-risk populations, but it is …

Impact Of Achievement-Oriented Gamification In Erp Systems: Examining Subjective And Objective User Outcomes, E. Adeborna, Fiona Fui-Hoon Nah, L. Motiwalla

Research Collection School Of Computing and Information Systems

This research explores the effect of gamification using achievement-oriented affordances in Enterprise Resource Planning (ERP) systems on subjective (behavioral intention) and objective (performance) outcomes. Drawing on the cognitive-affectiveconative (CAC) framework, a research model was developed to explain behavioral intention and tested in a pilot experiment with 63 participants. These participants completed a post-study questionnaire for assessing the impact of gamification on users’ behavioral intention that is mediated by CAC constructs: focused immersion, enjoyment, and selfrewarding experience. Preliminary results show that gamification enhances enjoyment and self-rewarding experience, which in turn positively influence and fully mediate behavioral intention. Objective performance outcomes were …

The Gender Wage Gap In An Online Labor Market: The Cost Of Interruptions, Abi Adams, Kotaro Hara, Kristy Milland, Chris Callison-Burch

Research Collection School Of Computing and Information Systems

This paper analyses gender differences in working patterns and wages on Amazon Mechanical Turk, a popular online labour platform. Using information on 2 million tasks, we find no gender differences in task selection nor experience. Nonetheless, women earn 20% less per hour on average. Gender differences in working patterns are a significant driver of this wage gap. Women are more likely to interrupt their working time on the platform with consequences for their task completion speed. A follow-up survey shows that the gender differences in working patterns and hourly wages are concentrated amongst workers with children.

An End-To-End Bi-Objective Approach To Deep Graph Partitioning, Pengcheng Wei, Yuan Fang, Zhihao Wen, Zheng Xiao, Binbin Chen

Research Collection School Of Computing and Information Systems

Graphs are ubiquitous in real-world applications, such as computation graphs and social networks. Partitioning large graphs into smaller, balanced partitions is often essential, with the biobjective graph partitioning problem aiming to minimize both the“cut” across partitions and the imbalance in partition sizes. However, existing heuristic methods face scalability challenges or overlook partition balance, leading to suboptimal results. Recent deep learning approaches, while promising, typically focus only on node-level features and lack a truly end-to-end framework, resulting in limited performance. In this paper, we introduce a novel method based on graph neural networks (GNNs) that leverages multilevel graph features and addresses …

Synthesizing Multi-Person And Rare Pose Images For Human Pose Estimation, Liuqing Zhao, Zichen Tian, Zou Peng, Richang Hong, Qianru Sun

Research Collection School Of Computing and Information Systems

Human pose estimation (HPE) models underperform in recognizing rare poses because they suffer from data imbalance problems (i.e., there are few image samples for rare poses) in their training datasets. From a data perspective, the most intuitive solution is to synthesize data for rare poses. Specifically, the rule-based methods apply manual manipulations (such as Cutout and GridMask) to the existing data, so the limited diversity of the data constrains the model. An alternative method is to learn the underlying data distribution via deep generative models (such as ControlNet and HumanSD) and then sample “new data” from the distribution. This works …

Drone-Based Multimodal Sensing On Vegetations And Data Analytics For Early Detection Of Gas Leakage From Underground Pipelines, Pengfei Ma

Doctoral Dissertations

"This study explored the feasibility of using multimodal remote sensors in the early detection of natural gas leaks from underground pipelines, as vegetation situated above pipelines can discern microbial changes in soil when affected by gas and exhibit physiological stress symptoms on leaves. Three sensors (RBG, thermal, and hyperspectral cameras) were utilized to monitor vegetation stress as an indicator of gas leaks. A laboratory experiment was conducted to evaluate the workability of vegetation for gas leak detection. Regular hyperspectral imagery was collected from test vegetations to identify gas stress and distinguish it from other environmental stressors such as salinity impact, …

Processing And Densification Of Multi-Phase High-Entropy Ceramics, Steven Smith

Doctoral Dissertations

"This work focuses on the processing and densification of multiphase, high-entropy ceramics to promote their use in friction stir welding technologies. Several high-entropy systems including high-entropy borides, carbides, and their composites were produced. Boro/carbothermal and carbothermal synthesis were used to produce high-entropy powders from oxide powder mixtures. Composites of high-entropy borides and high-entropy carbides were produced using a sequential approach to produce both phases. The carbide was first produced using carbothermal reduction, then ZrH2 and B4C were added to the carbide powder to produce the high-entropy boride phase. The resulting powder was densified by spark plasma sintering and pressureless sintering, …

Transport And Plugging Behavior Of Co2-Resistant Preformed Particle Gels In High Conductive Channels For Conformance Control, Adel Alotibi

Doctoral Dissertations

"Improving oil recovery is essential with rising global oil demand and declining production in mature fields. CO₂ flooding has been widely applied as a major Enhanced Oil Recovery (EOR) method due to its effectiveness in boosting oil recovery while enabling safe carbon storage in the subsurface. However, in fractured and highly heterogeneous reservoirs, CO₂ often flows through paths of least resistance, leading to early breakthrough or quick excessive CO₂ production and leaving substantial oil in unswept zones or areas. Traditional in-situ polymer gels have been applied to control CO₂ flooding conformance, their performance has been varied, …

Ceramic Dielectrics For High Temperature Capacitor Applications, Alan Daniel Devoe

Doctoral Dissertations

Technical progress in microelectronics is allowing operation in environments that were previously considered impossible. Building complete electronic circuits for applications above 450 degrees C, such as the planned NASA missions to Venus, require a variety of active and passive components, including multilayer ceramic capacitors (MLCC).

This study explores calcium zirconate CaZrO3 and magnesium oxide MgO based dielectric compositions for MLCC applications that are capable of operating at extreme temperatures between 450 degrees C and 600 degrees C. Both materials were characterized with respect to impurities, dopants, crystal structure and microstructural development. Dielectric properties were measured to determine permittivity, dissipation factor, …

Enhanced Optimization Of Mass Transfer For Carbon Capture And Wastewater Remediation In Algal Systems Through Algorithmic And Bioprocessing Techniques, Peter Ofuje Obidi

Doctoral Dissertations

The scalability and industrial deployment of algal cultivation systems are limited by suboptimal mass transfer, constraining their effectiveness in carbon capture and wastewater remediation. This research investigated these challenges through integrated optimization methodologies that combine algorithmic frameworks with enhanced bioprocessing techniques to enhance efficiency, economy, and scalability. A System-of-Systems (SoS) meta-architecture was developed using genetic algorithms and fuzzy assessor functions to demonstrate a pathway toward cost reduction. Rigorous mechanical and chemical characterizations were quantitatively analyzed to reveal existing optimization strategies and further evaluated the best strategies to use in enhancing mass transfer for improved biomass yield. The work also integrates …

Supporting Human-Ai Interaction From User Expectations To Mental Models, Harishankar Vasudevanallur Subramanian

Doctoral Dissertations

Explainable AI (XAI) aims to unravel the "black box" nature of AI systems and provide insights into the inner workings that lead to a prediction. However, the best XAI communication varies depending on the individual, task, and broader context. It is challenging to anticipate the best XAI for a particular use case. One strategy is for users to build an appropriate mental model of AI with both prediction and system level XAI. To date, little research has focused on quantitatively measuring users interacting with system-level XAI. This dissertation has three primary contributions. The first contribution is a scoping review paper …

Nutrient Fate, Mass Balance, Species Selection, And Plant Management Strategies With Floating Treatment Wetlands, Carla Campbell

Doctoral Dissertations

Excess nutrients in shallow urban ponds can lead to harmful algal blooms, low dissolved oxygen, and internal phosphorus cycling. These effects can compromise municipal water supplies and cause negative impacts on fisheries and recreation. Floating treatment wetlands (FTWs) show promise to mitigate surface water nutrient pollution. However, despite recent research, many aspects of FTWs remain poorly characterized. The contribution of FTW components to nutrient removal, local species selection, and plant management strategies were the focus of this dissertation. Mesocosm experiments revealed that the combination of plants and coir fiber growth media in FTWs appeared to positively affect plant biomass gain …

Synthesis Of Graphene Using Carbonaceous Materials In An Ultrasonic Reactor, Paul Chukwuma Ani

Doctoral Dissertations

The synthesis of high-quality graphene from sustainable carbonaceous feedstocks offers an avenue to reduce the environmental and economic costs associated with conventional graphite-based production. This research investigates the co-utilization of biochar and graphite as precursors for graphene fabrication in an ultrasonic reactor. Biochar was produced from biomass via downdraft gasification at 850 °C, yielding a high fixed-carbon, partially graphitized material with favorable surface area and porosity. Graphite, selected for its crystalline structure, was investigated with biochar to assess the influence of precursor composition on exfoliation efficiency, layer thickness distribution, and defect density. Ultrasonic-assisted liquid-phase exfoliation was employed, with process parameters …

From Normal To Disaster Response Mode: How Can Virtual Communities Reconfigure Themselves To Respond Effectively To A Disaster?, Mahmudul Hasan, Cecil Eng Huang Chua, Michael David Myers, Varqa Shamsi Bahar

Business and Information Technology Faculty Research & Creative Works

During a disaster, many people seek information from virtual communities. However, information overload, falsehoods and unrelated topics hinder information flow in virtual communities, putting disaster victims at risk. Given many disasters are generally of a short duration, we explore how virtual communities can quickly reconfigure themselves to respond effectively to a disaster. Drawing on risk society theory, our findings suggest reconfiguration is done via a series of cycles initially involving community members and subsequently featuring both community members and moderators working together to mitigate risks. We contribute to virtual community discourse on disaster response by showing how a virtual community …

Cold Atmospheric Plasma Induced Degradation Of Organophosphate Pesticides On Kevlar Swatches, Ta Chun Lin, Victor Somtochukwu Mbanugo, Boluwatife Stephen Ojo, Yue-Wern Huang, Marek Locmelis, Frank Daoru Han

Biological Sciences Faculty Research & Creative Works

Cold atmospheric plasma (CAP) was evaluated for degrading organophosphate pesticide (OP) residues (acephate, malathion, and dimethoate) from Kevlar fabrics. Fourier transform-Infrared (FTIR) spectroscopy, scanning electron microscope (SEM) imaging and tensile strength testing confirmed that CAP treatment preserved Kevlar's structural integrity and mechanical properties. Results show degradation efficiency increased with higher power, shorter discharge gaps, and longer exposure duration. Hyperspectral imaging supported the detection of plasma-induced spectral changes, reinforcing the presence of reactive species. The strong oxidative potential of CAP facilitated the rapid breakdown of OPs into nontoxic byproducts. These findings demonstrate the potential of CAP as a portable, energy-efficient solution …