Digital Commons Network^™

Three Essays In The Economics Of Disagreements: Incentives, Measurement And Persistence, Mustafa W. Alam

All Dissertations

This dissertation presents three chapters that contribute to the study of economic forces shaping disagreements in society.

In Chapter 1, I demonstrate that political polarization can intensify due to innovations in the information market even if a population's ideological distribution is fixed. Viewership-maximizing news firms cater to a diverse audience who assess source accuracy using noisy private signals that vary in precision and ideological bias. If better-informed consumers disproportionately migrate to newer platforms for news (e.g., the Internet), traditional media firms increase news slant to appeal more to less-informed partisans on both sides of the ideological spectrum. This leads to …

Bilevel Network Interdiction Models For Human Trafficking Disruption, Daniel Bruno Lopes Da Silva

All Dissertations

In this dissertation, we study a series of bilevel network interdiction problems motivated by applications in human trafficking disruption. First, we consider a bilevel network interdiction problem where the follower aims to maximize the amount of flow from the source node to the sink node and the leader aims to minimize the number of arcs from a critical set that have positive flow on them in the solution obtained by the follower. This problem models the situation where an anti-trafficking agent wants to minimize the number of people affected by the trafficking operations whereas the trafficker wants to maximize trafficking …

Progress Towards Uranium Isotope Ratio Measurements Directly From Cotton Swipes With The Liquid Sampling – Atmospheric Pressure Glow Discharge (Ls-Apgd) Ionization Source, Joseph V. Goodwin

All Dissertations

The liquid sampling – atmospheric pressure glow discharge (LS-APGD) ionization source is a novel microplasma ionization source capable of ionizing a diverse set of both inorganic and organic chemical species including, ionic metal constituents as well as ligated metallic species, polyaromatic hydrocarbons (PAH), halogens, proteins, and even per/poly fluorinated alkyl substances (PFAS). The ability to generate ions from diverse chemical species, known as combined atomic and molecular (CAM) ionization, is not found with traditional ionization sources. In addition, the LS-APGD is capable of coupling with mass spectrometer platforms typically reserved for “organic” mass spectrometry, such as the high-resolution Orbitrap mass …

Assessing The Mental Health Benefits Of A School-Based Urban Gardening Program In Kosova, Imri Zabeli

All Dissertations

ABSTRACT

This study investigated the mental health benefits of a school-based urban gardening program for primary school students in Kosovo, where there is limited access to psychological support within educational settings. A quasi-experimental pretest-posttest control group design was employed, involving 112 students aged 9 to 11 from two public schools in Pristina, who were divided into an intervention group (n = 56) and a control group (n = 56). The intervention group engaged in an 8-week structured gardening program, while the control group followed the standard curriculum. Psychological outcomes were assessed using validated instruments, including the Perceived Stress Scale for …

Application Of Artificial Neural Network Algorithms For Irrigation Scheduling, Lisa Umutoni

All Dissertations

Neural networks have been extensively used in predicting soil water tension for improved irrigation scheduling and management. However, their lack of interpretability constrains their efficacy in grasping the nuanced patterns prevalent in soil water tension time series data. The first goal of this research was to develop interpretable deep neural network models for soil water tension prediction across multiple soil depths (0.15m, 0.3m, 0.46m and 0.6m) and prediction horizons (1h, 6h, and 12h). The Neural Hierarchical Interpolation for Time Series (N-HiTS) and Neural Basis Expansion Analysis Time Series (N-BEATS) models were used in this research. Historical soil water tension data …

Modeling Disaster Resilience Through A Human-Centered Lens: Exposure, Vulnerability And Adaptation, Tong Liu

All Dissertations

The core of reframing and operationalizing disaster resilience with a human-centered lens is to incorporate concepts from socio-ecological resilience into engineering resilience to better understand the humans’ capability for disaster adaptation. Existing studies have drawn practical implications by identifying actionable thresholds for infrastructure systems under disasters, which can be easily applied by policymakers, emergency managers and municipal agencies. However, how individuals interact with, respond to, or adapt under these infrastructure thresholds remain understudied. This hinders the operationalization of disaster resilience at the human scale.

First, I examined exposure by analyzing how configuration and distribution of urban infrastructure systems, such as …

Unsupervised Deep Learning For Video Restoration, Mary Damilola Aiyetigbo

All Dissertations

In today's digital era, visual data is vital across several domains such as medical diagnostics, scientific imaging, surveillance, and entertainment. However, video data often suffers from degradations like noise, blur, compression artifacts, and low resolution, which degrade quality and downstream usability. Video restoration aims to recover clean, high-fidelity video from such corrupted inputs. Unlike static images, video restoration must maintain temporal consistency across frames, making it a significantly more complex problem. While supervised deep learning methods have achieved state-of-the-art results, they typically require large datasets of paired noisy-clean video datasets that are scarce or impractical to obtain in real-world settings …

Homomesies And Toggleability Spaces, Alec Mertin

All Dissertations

We study the homomesy phenomenon under the rowmotion operator acting on order ideals of posets. We provide details for the extensions of several results in the literature concerning homomesies of toggleability statistics from finite to infinite orbits, which allows us to obtain homomesies for piecewise-linear and birational rowmotion, even in the case of infinite orbits. Integral to this is a novel generalization of a result in the literature, which relaxes the conditions needed to lift a statistic.

We completely describe the order ideal (resp. antichain) toggleability space for general fences: the space of statistics which are linear combinations of …

A Convergent Mixed Methods Study Of The Social Studies Academy In South Carolina Middle Schools, Audie Cherry

All Dissertations

There is a global labor shortage in the agricultural industry and middle school is a critical time to get students serious about career decision making. The Studies of Occupations, Culture, and Innovations toward Agricultural Literacy (SOCIAL) Studies Academy is a high impact professional development program in South Carolina that provides experiences and for middle school social studies teachers (N = 12) to become more suited to teach their standards associated with the agricultural sciences with hopes of encouraging more students to pursue agricultural careers. This study was a mixed-methods convergent parallel design that examined 1) Academy Fellows (n = 4) …

Predicting Stock Market Indicators Using A Hybrid Model (Arima-Garch): An Analytical Study Of Some Gulf Financial Market Indicators, Mohammed H. Adnan, Manaf Ahmed Ahmed

Journal of Economics and Administrative Sciences

Purpose: The research aims to compare the results of forecasting financial market indicators in the Arabian Gulf using the hybrid ARIMA-GARCH model. This research argues for the efficiency of traditional standard models in forecasting for relatively long periods. Methodology: The hybridization technique initially depends on the selection of the best autoregressive integrated moving average model for prediction according to the automatic selection function for the proposed models that achieve the best statistical conditions. The models chosen in the previous step represent the inputs for using the (1,1,1) GARCH model for the prediction. Both models predict financial market indicators from outside …

Using Convolutional Neural Networks To Estimate Missing Values ​​In Univariate Time Series Data, Wasn Saad Al-Karadi

Journal of Economics and Administrative Sciences

In this research, deep neural networks (CNNs) were used to estimate missing values ​​in a univariate time series dataset and compared with DES/Holt and (SVR) estimation methods to determine their accuracy in handling missing values ​​in the dataset. These missing values ​​directly affect the process of building mathematical and statistical models, affecting the accuracy of the final results that enable us to make the right decisions in the future. The presence of missing values ​​in the dataset is due to problems that occur during sampling, such as a malfunction in the measuring device, security attacks, or communication errors. The results …

The Impact Of Social Marketing On Sustainable Development Goals: Aims & Challenges: An Analytical Study Of A Sample Of Mosul University Students, Anas Maaroof, Zainab Alhamdani, Omar Q. Alshebly, Abdulhamid Adam, Mohammed Alblewi, Murat Dedeoğlu

Journal of Economics and Administrative Sciences

This study aims to identify the impact of social marketing on the sustainable development goals at the University of Mosul. The study consists of two main variables: the independent variable, which includes social marketing, and the four dimensions: social product, social price, social promotion, and social distribution. The dependent variable represents the sustainable development goals, whose dimensions consist of: Goal 1: No Poverty, Goal 2: Zero Hunger, Goal 3: Good Health, and Goal 4: Quality Education. This research paper highlight on social marketing as a modern trend in business organizations linked to sustainable development goals, which has led many companies …

The Impact Of Aggregate Supply Fluctuations On Inflation In Iraq During The Period (2004-2023): An Empirical Study, Muneam Hussein Ali, Sameer Siham Dawood

Journal of Economics and Administrative Sciences

This research examines the relationship between aggregate supply and inflation in Iraq during (2004-2023) through deviations in aggregate supply that lead to changes in output and inflation. The core issue of the research lies in how any change in aggregate supply results in a shift of the aggregate supply curve from its initial position. This study employed a deductive methodology, theoretical frameworks, descriptive and quantitative assessments, and econometric techniques to analyze the connection between aggregate supply, which is treated as a dependent variable, and inflation, categorized as the independent variable. The findings of the analysis validated the hypothesis and confirmed …

Explainable Machine Learning Surrogate Modeling For Exit Gradient Prediction In Hydraulic Structures Using Numerical Simulations, Prayas Rath, Jianting Zhu, Kevin M. Befus

Geosciences Faculty Publications and Presentations

Accurate prediction of exit gradients is essential for designing impounding hydraulic structures, such as dams and levees, to mitigate seepage-induced piping failures. Conventional analytical methods often neglect boundary effects and anisotropy, limiting their applicability in complex geological settings. This study develops an XGBoost-based machine learning surrogate model trained and tested on 8,000 MODFLOW numerical simulations to predict exit gradients under varying hydraulic and geological conditions. The data set covers numerous parameters, including anisotropy, head differences, structure width, cut-off wall depth, aquifer thickness, and uninterrupted riverbed length. The coefficient of determination for test data is 0.88, demonstrating reliable exit gradient prediction …

A Multi-Source Remote Sensing-Based Geocommunication Tool For Global Flood Monitoring And Management, Ebrahim Hamidi, Brad Peter, Hamed Moftakhari, Hamid Moradkhani

Geosciences Faculty Publications and Presentations

Global warming is expected to increase the frequency of extreme flooding, making rapid and accurate flood mapping crucial for effective risk assessment. Many governmental agencies and organizations are developing flood risk assessment tools; however, due to the lack of observational records, some rely on probabilistic generated data, uncalibrated simulations, or terrain-based methods, all of which are subject to various types of uncertainty. Although remote sensing provides valuable flood data with global coverage, single-source reliance is constrained by satellite revisit rates, resolution, weather conditions, and sensor limitations. To address these challenges, this study introduces a user-friendly application on the Google Earth …

New Insights Into The Beliefs Of Secondary Pre-Service Teachers About Mathematics, Vesife Hatisaru, Olivia Johnston, Julia Collins, Benjamin Rott

Research outputs 2022 to 2026

Teachers’ beliefs about mathematics can shape how they approach teaching, learning, and assessment in mathematics classrooms. This study examined Australian pre-service teachers’ (PSTs’) epistemological beliefs about mathematics. A total of 18 PSTs enrolled in Bachelor of Education and Master of Teaching (secondary mathematics) programs participated in the study by answering prompt questions in an open-ended questionnaire. The participants’ responses were content analyzed by categorizing the views evident in the responses into four pre-defined mathematical orientations: formalism-related, scheme-related, process-related, and application-related. Findings have shown that the dominant beliefs for the participants reflected process- or application- related orientations to mathematics. These findings …

A General Bibliometric And Conceptual Structure Approach To Global Trend On Poverty Research In Islam Using Biblioshiny, Mohd Zaid Mustafar, Mohd Khairul Nizam Mohd Aziz, Dziauddin Sharif, Md Azzaat Ahsanie Lokman, Ashraff Bin Ruslan, Saiyidi Mat Roni

Research outputs 2022 to 2026

This study maps the intellectual landscape of research on poverty in Islam using a structured bibliometric approach with Biblioshiny (Bibliometrix) in RStudio. A Scopus search (TITLE-ABS-KEY “poverty” AND “Islam”) conducted on 1 September 2023 identified 279 English-language journal articles published between 1976 and 2023. The corpus spans 227 sources, 646 authors, and 10,262 cited references, with an annual growth rate of about 5%. Performance and science-mapping analyses reveal two “motor themes”—Islamic finance and healthcare/public health—while spiritually anchored constructs (e.g., maqasid, zakat governance, waqf, spiritual poverty) remain peripheral in co-occurrence and thematic maps. Citation patterns indicate higher field-normalized impact when studies …

Ed-Filter: Dynamic Feature Filtering For Eating Disorder Classification, Mehdi Naseriparsa, Suku Sukunesan, Zhen Cai, Osama Alfarraj, Amr Tolba, Saba Fathi Rabooki, Feng Xia

Research outputs 2022 to 2026

Eating disorders (ED) are critical psychiatric problems that have alarmed the mental health community. Mental health professionals are increasingly recognizing the utility of data derived from social media platforms such as Twitter. However, high dimensionality and extensive feature sets of Twitter data present remarkable challenges for ED classification. To overcome these hurdles, we introduce a novel method, an informed branch and bound search technique known as ED-Filter. This strategy significantly improves the drawbacks of conventional feature selection algorithms such as filters and wrappers. ED-Filter iteratively identifies an optimal set of promising features that maximize the eating disorder classification accuracy. In …

Enhancing Gaas Solar Cell Efficiency Through Nanostructured Features: A Comprehensive Review Of Recent Advances, Challenges And Future Outlook, Mohammad Nur-E-Alam, Boon Kar Yap, Tiong Sieh Kiong, Mohammad Khairul Basher, Tarek Abedin, Mohammad Aminul Islam, Mohd Adib Ibrahim, Mayeen Uddin Khandaker, Narottam Das

Research outputs 2022 to 2026

This article aims to provide a synopsis of recent advances in the use of nanostructured features to augment the conversion efficiency of gallium arsenide (GaAs) solar cells. GaAs are a very well-known and highly advantageous material for solar cells because they possess an extraordinary bandgap (i.e., approximately 1.4 eV), wide spectral absorption coefficient, and favorable carrier mobility. Numerous studies have explored the use of nanostructures, such as antireflection (AR) nanofilms/nanocoatings, nanoparticles (NPs), and nanogratings (NG), to improve the conversion efficiency of GaAs-based solar cells. These structures are generally designed to enhance light transmission capacity and absorption while reducing light reflection …

Urbanisation And Specifically Impervious Cover Alter Riparian Plant Communities In A Rapidly Urbanising Landscape In The Himalayas, Karma Jamtsho, Mark A. Lund, David Blake, Eddie Van Etten

Research outputs 2022 to 2026

Impervious covers, such as roads, pavements, buildings, and parking lots, prevent water infiltration, thereby increasing surface runoff. The expansion of impervious cover along riverbanks in urban areas poses a significant threat to riparian ecosystems by altering species diversity and composition through hydrological changes. As dynamic ecosystems at the interface between aquatic and terrestrial environments, riparian areas play a crucial role in aquatic ecology, particularly in terms of biodiversity, bank stability, nutrient dynamics, and hydrological processes. Employing plot-based floristic sampling, this study investigated the effects of urbanisation, particularly impervious cover (quantified as PTIA, Percentage of Total Impervious Area), on riparian plant …

Not All Political Ties Are The Same: Firms' Ties To The Government And Pollution, Wen Helena Li, Ilya R. P. Cuypers, Gokhan Ertug, Hari Bapuji, Wei Liu

Research Collection Lee Kong Chian School Of Business

Complementing research on the implications of political ties for firms’ strategic decisions and financial performance, recent studies are increasingly focusing on the environmental consequences of firms’ political connections. We contribute to this stream of work by integrating insights from the literature on political ties and the multifaceted nature of governments to explore how the level of government influences the pollution implications of firms’ political ties. Specifically, we theorize and demonstrate that, in China, firms' achieved political ties with high levels of the government reduce pollution, while such ties with low levels of the government increase it. Furthermore, we examine how …

On The Origin Of Green Finance Policies, Theodor Florian Cojoianu, D. French, Andrea G. F. Hoepner, Sheenan L., Anh Vu

Research Collection College of Integrative Studies

Despite the rising number of green finance policies, the socioeconomic determinants shaping them remain largely unexamined. Drawing from the literature analysing the relationship between regulation, market development and institutional economics, we contend that green finance policy adoption is driven by both market-based and institutional factors. Using a survival analysis approach to understand the levers influencing green finance policy adoption across 188 countries from 2000 to 2019, we find that exposure to the fossil fuel industry predominantly drives the initial issuance of green finance policies. The positive effect of fossil fuel commercial financing on the adoption of green finance policies exists …

The Development Of High Throughput Assays For Identification And Evaluation Of Small Molecule Modulators Of The Pri-Microrna-18a—Hnrnp A1 Interaction, Emile N. Van Meter

Dissertations

Therapeutics targeting RNA is a rapidly growing field. While only 1.5% of the human genome encodes genes for protein, over 70% o=f the human genome contains the genes for noncoding RNAs that regulate protein expression and function. Expanding the paradigm of small molecule drug discovery from traditional protein targets to include RNA would broaden the therapeutic landscape and provide new methods to modulate previously undruggable targets. miRNAs (miRs) have been found to be aberrantly expressed in many disease states, including neurodegenerative diseases and cancers making them promising therapeutic targets. The production of functional, mature miRs requires multiple proteins in a …

Measurements And First Principles Calculations On The Non-Centrosymmetric Superconductor Aupb3, Meena Shrestha

Dissertations

AuPb₃ is a non-centrosymmetric superconductor that crystallizes in a tetragonal structure and undergoes a superconducting transition at 4.4 K. Non-centrosymmetric superconductors that lack inversion symmetry are predicted to have an admixture of spinsinglet and spin-triplet symmetry induced by strong antisymmetric spin-orbit coupling (ASOC).

In this work, we investigated the normal and superconducting properties of AuPb₃. We also carried out the Density Functional Theory (DFT) calculations to study the strength of ASOC and its impact on vibrational and electronic properties. A high-quality polycrystalline sample of AuPb₃ was grown and characterized by powder x-ray diffraction, scanning electron microscopy, …

Roadside Asset Extraction From Mobile Lidar Point Cloud, Yushin Ahn, Riadh Munjy, Stephen Choi

Mineta Transportation Institute

Mobile LiDAR systems are powerful tools that help us map roads and their surroundings in 3D with great speed and precision. The data provided by these systems support urban planning efforts, digital mapping, transportation infrastructure maintenance, and more. This report presents a comprehensive workflow for roadside asset extraction using Mobile Terrestrial Laser Scanning (MTLS) data, focusing on road lane detection, cross-section slope analysis, and point cloud classification. Roadside asset extraction is the identification and classification of roadside features like signs and poles. The dataset, acquired using a high-resolution mobile LiDAR system, contains over 5.7 billion points (pieces of data) across …

Revised Draft Final Butte Treatment Lagoons (Btl) Groundwater Treatment System Routine Operations, Maintenance, And Monitoring (Om&M) Plan, Pioneer Technical Services, Inc.

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Final Quarterly Operations And Maintenance Report Butte Treatment Lagoon System – Fourth Quarter 2023, Pioneer Technical Services, Inc.

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Final Quarterly Operations And Maintenance Report Butte Treatment Lagoon System – Third Quarter 2023, Pioneer Technical Services, Inc.

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Revised Draft Final Quarterly Operations And Maintenance Report Butte Treatment Lagoon System – First Quarter 2024, Pioneer Technical Services, Inc.

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Black Women In Information Technology Leadership Roles: Examining Their Experiences With Recruitment, Retention, And Advancement, Adepeju O. Adedeji

Electronic Theses and Dissertations

Black women account for only 3% of the information technology (IT) workforce in the United States, with a lower percentage in leadership roles. This qualitative phenomenological study explored the lived experiences of Black women who had attained leadership roles in the IT field. The researcher examined the opportunities and challenges Black women faced in their recruitment, retention, and advancement to leadership roles. The purpose of the study was to understand the strategies that aided Black women who experienced successful recruitment, advancement, and retention in IT to extract insights that can be leveraged for other Black women. The researcher conducted interviews …