Digital Commons Network^™

Assessing Ecological Integrity Of Streams Across The Western U.S., Jennifer L. Courtwright

All Graduate Theses and Dissertations, Fall 2023 to Present

Large-scale assessments of stream health (ecological integrity) are required by policies such as the U.S. Clean Water Act and provide critical information needed to properly manage public lands. Our ability to quantify the ecological condition of streams in the western U.S. and identify the causes of degraded conditions has previously been impeded by a lack of standardized large-scale datasets, high natural temporal and spatial variability of ecological attributes, and poor-quality land use data. I compiled large-scale monitoring datasets and built models to predict the values of ecological attributes (metrics) at a given site in the absence of human impacts. In …

Investigating Recruitment Bottlenecks Of Juvenile Native Fish In The Colorado River Basin, Utah, Anna R. Amidon

All Graduate Theses and Dissertations, Fall 2023 to Present

The first year of life is a vulnerable period for most fish species. Whether young fish survive this early stage determines how many individuals eventually survive and grow into reproductive adults, a process called recruitment. In desert rivers like the Colorado River Basin, native fish evolved alongside extreme natural conditions but now face additional pressure from drought and water storage infrastructure, which alter the shoreline habitats on which young fish depend. Long-lived, migratory native species with complex life cycles are especially vulnerable. We used four decades of monitoring data from the Upper Colorado River Basin to evaluate whether young-of-year (YOY, …

Cultural Humility In Motion: A Graduate Student Hybrid Immersion In Self- And Other Awareness Through Dance, Emily Jeanne Slater

All Graduate Theses and Dissertations, Fall 2023 to Present

Universities bring together people from many different backgrounds, identities, and experiences. Yet university spaces often focus on mind-centered and discussion-based learning and overlook how the body plays a role in education. When education ignores the bodily experience of learning, students lose opportunities to reflect, connect, and make meaningful change in their lives and communities. To address this gap, this dissertation designed and implemented a learning experience for graduate students that creates space from them to examine their own assumptions, engage across differences, and share in inclusive practices. The learning experience draws on and advances cultural humility theory, which understands self-awareness, …

Issue 26: Labour, Poverty, And Health Concerns Of Migrant Women And Girls Working As Kayayei In Ghana's Urban Centres, Comfort Baidoo, Robert Mcleman

International Migration Research Centre

Over the past four decades, growing numbers of women and girls have left northern Ghana for the country's cities, drawn by the promise of work, independence, and a chance to support their families. Many end up as kayayei, head porters who carry goods through Accra's crowded markets for a negotiated fee. Their labour keeps the informal economy moving, yet it comes at a steep personal cost: unpredictable earnings, punishing physical strain, unsafe housing, and a healthcare system that too often leaves them out. This brief draws together the available evidence on the economic and health conditions of kayayei in Greater-Accra. …

Content Mapping: An Experimental Analysis Of Missing Message Content, Jeannette Sutton

Emergency Preparedness, Homeland Security, and Cybersecurity Faculty Scholarship

The Warning-Response Model recommends the inclusion of five key content areas in warning messages to reduce information seeking that can lead to warning response delay: the message source, hazard (including its impact), affected location, recommended guidance, and time. Research has found that complete messages, that is, those that include all of five recommended content areas, help people make decisions about the protective actions they may take.  Unfortunately, a large majority of WEA messages omit information from one or more of the recommended content areas. This study examined the impact of omitting each of the five recommended content areas on message …

Human-Centered Electric Vehicle Adoption Framework For Smart Mobility: Modeling Perceived Range And Charging Anxiety As A Psychological Barrier, Fatemeh Nazari, Abolfazl (Kouros) Mohammadian, Thomas Stephens

Civil Engineering Faculty Publications

Electric vehicles (EVs) offer a transformative pathway toward reducing the environmental, economic, and health-related externalities of internal combustion engine vehicles in urban settings. Despite substantial advances in battery technology, charging infrastructure expansion, and supportive policy incentives, EV penetration remains limited which poses challenges for smart and sustainable mobility planning. A critical yet insufficiently modeled barrier to adoption lies in the psychological perceptions surrounding electric driving range and charging reliability, which is commonly framed as “range anxiety,” but more broadly reflecting perceived range and charging anxiety. To address this gap, this study introduces a latent psychological construct capturing individuals’ perceived range …

A Novel Edge-Based Accuracy Assessment Framework For Target Detection From Remotely Sensed Images, Yingfan Zhang, Weiyi Hou, Lyndon Estes, Rui Lu, Shijie Zhu, Aiyin Zhang, Zhou Shi, Su Ye

Geography

Accuracy assessment is critical for evaluating map quality and improving algorithms for target detection in remotely sensed images. Traditional methods for assessing a target-detection task were often performed by estimating the relative pixels of correct and incorrect identifications (e.g., F1 score). However, this approach only considers the pixel-by-pixel agreement and ignores important aspects of positional errors and target object quality. To provide comprehensive diagnostic information, we propose a novel edge-based accuracy assessment framework. This framework firstly applied a newly proposed assessment tool, Dynamic Epsilon-band Accuracy Function (DEAF), which is a linear fitting function from a series of edge accuracies associated …

Llm-Based Early Rumor Detection With Imitation Agent, Fengzhu Zeng, Qian Shao, Ling Cheng, Wei Gao, Shih-Fen Cheng, Jing Ma, Cheng Niu

Research Collection School Of Computing and Information Systems

Early Rumor Detection (EARD) aims to identify the earliest point at which a claim can be accurately classified based on a sequence of social media posts. This is especially challenging in data-scarce settings. While Large Language Models (LLMs) perform well in few-shot NLP tasks, they are not well-suited for time-series data and are computationally expensive for both training and inference. In this work, we propose a novel EARD framework that combines an autonomous agent and an LLM-based detection model, where the agent acts as a reliable decision-maker for \textit{early time point determination}, while the LLM serves as a powerful \textit{rumor …

A Deep Reinforcement Learning Framework For Dynamic Order And Rack Scheduling In Robotic Mobile Fulfillment Systems, Lingjun Wang, Bayi Cheng, Zhiguang Cao, Aldy Gunawan

Research Collection School Of Computing and Information Systems

Robotic mobile fulfillment systems play a vital role in modern e-commerce, but their efficiencydepends on overcoming a critical challenge: coordinating orders and racks effectively under dynamicorder arrivals, diverse delivery deadlines, and resource sharing among multiple stations. This papertackles the resulting dynamic order and rack scheduling problem and proposes an intelligentscheduling framework centred on deep reinforcement learning. At its core is TriNet-PPO, whichtrains a scheduling policy using TriNet, a tripartite graph neural network encoder tailored to capturethe many-to-many relationships among orders, racks, and items. Furthermore, we introduce IPCSA,an integer programming-based cooperative scheduling algorithm that maps station-level actionpreferences to conflict-free joint decisions …

Five-State Seismic Damage Classification Of Steel-Girder Bridges On Soft Soil Using Directional Intensity Measures And Multi-Parameter Damage Indices, Ibrahim Alomari, Woubishet Zewdu Taffese, Mohammad Hossein Afsharmovahed, Genda Chen

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

Rapid yet accurate post-earthquake damage assessment of highway bridges is essential to ensure transportation network resilience. Traditional inspection, fragility analysis, and finite element modeling are time-consuming or inaccurate for real-time decision-making. This study compares ten machine-learning classifiers for the seismic damage states of highway steel-girder bridges that incorporate directional intensity measures to represent the variance of ground motions. Based on the nonlinear time-history analyses of two Missouri bridges, one Michigan bridge, and one Wisconsin bridge, multi-parameter structural damage indices were proposed and mapped to five damage states from none to collapse. Among ten supervised algorithms studied, the artificial neural network …

Field Calibration Of Flow Over Tilting Weirs In Canals, Joseph E. Pugh, Timothy K. Gates, S. Karan Venayagamoorthy, Caner Kutlu

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

Tilting weirs are widely used to regulate water levels in open channel irrigation systems and can also provide flow measurement capability that helps optimize irrigation efficiency and ensure equitable water distribution. This case study demonstrates adaptation of lab-based tilting weir ratings to field settings, where flow behavior is more complex. We compile and analyze an extensive data set derived from independent studies of five structures within three canal systems, featuring both lined and unlined channels with discharge ranging from 0.35 to 15 m3/s (12 to 530 ft3/s). Results indicate that lab-based rating equations can be calibrated to account for site-specific …

Impact Of Climate Change On Extreme Windstorms And Implications For Structural Design In The United States, Teng Wu, Reda Snaiki, Frank Lombardo, Sihan Li, Michele Barbato, Guirong Yan, Robert J. Trapp

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

Climate change impacts various extreme windstorms associated with specific meteorological phenomena in different ways. Because various windstorms contribute to the design wind speeds, this study systematically reviewed the state-of-the-art understanding of climate change effects on wind events that collectively contribute to structural wind design in North America, particularly the US, including extratropical cyclones (as well as nor'easters), tropical cyclones, thunderstorms, and tornadoes. For each windstorm type, the general evidence of climate change impacts on storm activities (e.g., occurrence frequency and intensity) are summarized, followed by the introduction of existing simulation frameworks for yearly (or subyearly) maximum storm winds under changing …

Reframing Soil Freezing As An Unsaturated Process, Antai Dong, Xiong Zhang

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

Soil freezing and frost heave are inherently unsaturated soil phenomena. However, most existing numerical models are based on saturated soil mechanics or assume full saturation. This simplification introduces conceptual inconsistencies, requires modifications that violate fundamentals in soil mechanics and fluid mechanics, and often leads to the use of self-conflicting soil properties. To overcome these limitations, this study develops a physically consistent, fully coupled thermohydraulic model for soil freezing grounded in modern unsaturated soil mechanics. A soil freezing characteristic surface (SFCS) is introduced to represent unfrozen water content in partially frozen soils as a function of both suction and temperature. Recognizing …

Promotion Architecture: A Deal Fairness Model Of Restricted Price Promotions, Shangwen Yi, David Hardisty, Dale Griffin, Thomas Allard

Research Collection Lee Kong Chian School Of Business

This research examines the effectiveness of two common types of restricted price promotions: threshold promotions (conditional on spending more than a threshold amount; e.g., “Get $5 off on orders of $10 or more”) and capped promotions (limited to a maximum dollar value; e.g., “Get 50% off, up to $5 per order”). Results from seven pre-registered studies, including one field study, show that threshold promotions lead to higher purchase intentions and conversion rates (but potentially lower purchase amounts) than comparable capped promotions—even though capped promotions are equivalent in maximal economic savings for the consumer—when the trigger value (the spending amount at …

Bank Competition Amid Digital Disruption: Implications For Financial Inclusion, Erica Xuewei Jiang, Gloria Yang Yu, Jinyuan Zhang

Research Collection Lee Kong Chian School Of Business

We examine how digital disruption affects bank competition using the staggered rollout of 3G mobile networks. 3G expansion increased mobile banking adoption among tech-savvy households, reducing branch networks—especially in younger counties. Banks' strategies diverged: Less branch-reliant banks closed branches and competed on price, while more branch-reliant banks maintained branches but raised spreads. A structural model shows that perceived digital service improvements among younger consumers drove these shifts, reducing welfare for older savers. Counterfactuals demonstrate that subsidizing adoption for older savers can cost-effectively reduce these disparities, facilitating a smoother digital transition.

Optimal Scheduling Of Virtual Power Plants Considering Photothermal Power Stations And Hydrogen Energy Utilization, Yousong Chen, Ruofa Cheng, Yi Liu, Yi Zhang, Zhihao Zuo

Journal of System Simulation

Abstract: To enhance the operational stability and low-carbon performance of virtual power plants (VPPs) with high shares of renewable energy, a coordinated dispatch model integrating concentrated solar power (CSP) plants with power-to-gas (P2G) and carbon capture is developed. An optimal VPP scheduling strategy is proposed, combining a stepped carbon trading mechanism with a compensation coefficient and dynamic hydrogen blending. To address multi-source uncertainties in wind power, CSP power, and loads, an envelope boundary model is used for simulation. Information gap decision theory (IGDT) is applied to provide customized solutions for decision-makers with different risk preferences. A bi-objective optimization model is …

Fault-Tolerant Control Method For All-Type Actuator Faults Of Evtol Aircraft, Juan Wang, Guorui Li, Zhiyong Fan, Huijie Chen

Journal of System Simulation

Abstract: To address all-type actuator faults, especially nonlinear distortion issues, in multi-rotor eVTOL aircraft, a novel fault-tolerant control method was proposed. A fault function was established at the rotor speed level, and a fault-tolerant control algorithm combining dynamic robust nonsingular fast integral terminal sliding mode with a high-order finite-time disturbance observer was designed to achieve fault-tolerant control through rotor redundancy allocation. The nonsingular fast integral terminal sliding mode algorithm was improved, and a dynamic system containing actuator faults and their derivatives was constructed via a dynamic surface to achieve system convergence within finite time, avoiding the singularity and chattering problems …

A Method For Assessing The Contribution Degree Of An Aviation Delivery System And Identifying Key Equipment, Xiaofeng Liu, Chengze Jiang, Xingyu Chen, Deyin Jiang, Bolin Shang, Bifeng Song

Journal of System Simulation

Abstract: Based on the delivery efficiency and delivery quality, a general aviation delivery system effectiveness evaluation model was constructed, and a calculation method of system contribution degree based on efficiency was given. By combining the system calculation experiment and simulation experiment based on agent-based modeling and simulation (ABMS), the design idea of the Monte Carlo simulation experiment for key equipment identification and equipment technology development trend analysis was sorted out, and the key equipment identification method based on ABMS and contribution evaluation was proposed. By taking the intercontinental long-range aviation delivery mission as an example, a variety of simulation experiments …

Optimization Of Node Deployment For Three-Dimensional Heterogeneous Wsn In Elongated Structural Space, Jiguang Yang, Jiuyuan Huo, Fang Cao, Cong Mu

Journal of System Simulation

Abstract: To achieve effective coverage of key monitoring points in an elongated structural space, a heterogeneous wireless sensor network(HWSN) deployment optimization method combining the virtual force algorithm(VFA) and multi-strategy improved whale optimization algorithm(MSIWOA), namely HVF-MSIWOA, was proposed. A dynamic adaptive weight mechanism and a t-distribution perturbation operator with heterogeneous degrees of freedom were designed, enabling the whale optimization algorithm(WOA) to balance global exploration and local exploitation and jump out of local optima; combining the topological characteristics of the elongated space and node density distribution, an adaptive virtual force distance threshold between heterogeneous nodes was constructed; the mapping relationship between network …

Three-Dimensional Gaussian Reconstruction Of Large-Scale Scenes Under Multi-View Geometry Constraints, Haohao Cui, Yanqiang Di, Qing Liu, Xianguo Meng

Journal of System Simulation

Abstract: To enhance the geometry reconstruction quality of the GS algorithm in large-scale scene reconstruction, an optimization method constrained by multi-view geometry reconstruction results was proposed. 2D Gaussian planes were used as geometric primitives to overcome depth anisotropy, and dense depth maps generated by DUSt3R and aligned by sparse point clouds were introduced as constraints. By designing a multi-stage optimization strategy that decouples geometry and rendering, the gradient conflict problem in multi-objective training was solved. Experiments on the MatrixCity dataset indicate that the method surpasses comparison methods in related indicators of geometry reconstruction quality and rendering quality in large-scale scenes. …

Aqqd: Annotated Quranic Qira’At Dataset, Linda Smail, Mohammed Lataifeh, Md Sohazur Islam Sozib, Arthur Diniz De Souza

All Works

AQQD (Annotated Quranic Qira'at Dataset) is an open audio dataset of Quranic recitations annotated across canonical Qira'at styles. The dataset is designed to support research in machine learning, speech and audio processing, computational linguistics, and Quranic studies. The current release contains 24,183 WAV audio files from 309 reciters and covers 70 selected Quranic Surahs segmented into representative verses and phonetic variation points. Of these, 23,111 recordings were collected from publicly available sources, including official reciter websites, the Midad repository, MP3Quran, and verified YouTube channels, while an additional controlled subset of 1,072 recordings was obtained from a single reciter recorded as …

Melatonin-Functionalized Silver Nanoparticles Enhance Salinity Tolerance In Brassica Juncea By Modulating Antioxidant Defence And Growth Physiology, Mohini Yadav, Manar Fawzi Bani Mfarrej, Vikash Kumar, Ankita Singh, Faheem Ahmad, Saurabh C. Saxena

All Works

Soil salinity is a major abiotic stress that severely limits plant growth and productivity by inducing osmotic stress, oxidative damage, and ionic imbalances. The present study evaluated the potential of melatonin-mediated silver nanoparticles (Mel AgNPs) to enhance salinity stress tolerance in Brassica juncea. Pot experiments were conducted using 21-day-old plants exposed to salinity stress and treated with Mel AgNPs at different concentrations (50 and 100 mg L⁻¹) through both root application and foliar spray. Morphological, physiological, and biochemical responses were assessed 48 h after nanoparticle exposure. Salinity stress markedly increased lipid peroxidation and hydrogen peroxide accumulation while suppressing antioxidant defence. …

Sufi Exceptionalism In Senegal: The Role Of Brotherhood In Preventing Religious Extremism, Hamdy A. Hassan

All Works

This study examines ‘Sufi exceptionalism’ in Senegal, highlighting the role of Sufi Brotherhoods—particularly the Tijaniyya and Muridiyya—in fostering democratic resilience and preventing radicalism. Contrary to the assumption that religion inhibits democracy, findings show Sufi leaders have acted as stabilizing forces during political crises, advocating peace and democratic values. The research explores the relationship between Sufism and governance, the contributions of Sufi orders to societal stability, and their alliances with state authorities. Through qualitative analysis of secondary sources and comparative case studies of the Tijaniyya and Muridiyya orders, the study traces interactions between religious institutions and the Senegalese state over time. …

Financing Transition In A Hydrocarbon Economy: The Uae Case, Suzanna Elmassah, Mahmoud Elrefai

All Works

The objective of this paper is to examine the United Arab Emirates (UAE) as a test case of Gulf energy transition finance by analyzing how a hydrocarbon-dependent economy is constructing the financial, regulatory, and institutional architecture required to move from net-zero pledges to climate finance flows. Rather than treating climate finance as a set of isolated instruments, the paper conceptualizes the UAE’s approach as a state-led transition-finance model shaped by Gulf state capitalism, sovereign wealth accumulation, national oil company strategy, financial regulation, and post-COP28 climate diplomacy. Using a qualitative policy and institutional review, the paper maps the UAE’s transition-finance architecture …

Small But Mighty: How Can Pediatric Psychologists Harness The Power Of Digital Single-Session Interventions?, Christina Amaro, Alexandra Monzon, Melissa Alderfer, Kimberly Canter, Michael Amylon, Stephanie Fooks-Parker, Jessica Schleider, Susana Patton, Katie Devine

Department of Pediatrics Faculty Papers

OBJECTIVE: Single-session interventions (SSIs) are an innovative, scalable approach for addressing the unmet behavioral and mental health needs of pediatric patients and their families. Specifically, digital SSIs, which are self-guided and delivered online, offer a low-cost and accessible approach but are currently underutilized in pediatric psychology.

METHODS: This topical review aims to describe SSIs broadly and the specific need for digital SSIs, explore potential applications within pediatric psychology, outline future directions and considerations, and present two examples of community-engaged digital SSI design.

RESULTS: SSIs evidence small to medium effects across a range of mental health concerns, including distress, anxiety, and …

Love’S Dialects: Proposed Additions In Emotionally Focused Therapy For Intercultural Couples, Nicola Heurich

Dissertations

Intercultural romantic relationships have become an increasingly prominent feature of contemporary society due to globalization, migration, and cross-cultural exchange (Livingston & Brown, 2017). However, these partnerships are also associated with elevated levels of relational distress and higher rates of conflict, separation, and divorce, underscoring the need for culturally responsive approaches in couple therapy (Bustamante et al., 2011; Genç & Su, 2021).

Research on intercultural couples remains limited both within and beyond Emotionally Focused Therapy (EFT), and despite increased recognition of cultural factors, there is still insufficient guidance on navigating differing cultural contexts within a dyad (Linhof & Allan, 2018).

The …

Empowering Voices: Latino Family Engagement In Bilingual Early Literacy Library Programs, Jovayra Cabrera

Education Doctoral

Latino children often enter kindergarten with uneven access to early literacy experiences, and families play a central role in their early learning. The purpose of this transcendental phenomenological study was to explore the lived experiences of Latino families who participated in bilingual early literacy library programs with their young children (ages 0–5) in a public library system in a major metropolitan area in a northeastern state. Eight Latino parents and caregivers completed semi-structured interviews, conducted in English or Spanish, that were analyzed through bracketing, horizontalization, and the development of textural and structural descriptions and a synthesized essence. Analysis produced six …

Effective Leadership Practices For Administrators In High-Poverty Rural Elementary Schools, Rhonda Underhill

Education Doctoral

The purpose of this study was to examine potential solutions for high-needs rural elementary school leaders to improve academic outcomes for students from low-income families. Students from low-income families in rural elementary schools continue to underperform academically compared to their non-economically disadvantaged peers. Students should not reach adulthood with the same income inequalities they had when they entered school. Solutions are needed to find ways for school administrators to reverse this trend. The study used the New York State Education Department (2018) Culturally Responsive-Sustaining Education (CR-S) Framework to examine effective leadership practices from the perspectives of school leaders in high-achieving, …

Paraeducator Perceptions Of Teacher-Supervisory Behaviors And Their Effects On Paraeducator Retention, Alexis M. Graham

Education Doctoral

Paraeducators are leaving their positions at alarming levels, leaving teachers, students, and schools vulnerable. The exploratory, cross-sectional, correlational survey study examines the relationship between paraeducator perceptions of teacher-supervisor leadership behaviors and retention, as well as the factors contributing to turnover. Full range leadership theory (FRLT) and the Multifactor Leadership Questionnaire (MLQ) are used to describe leadership behaviors. The study used a survey design advertised to a paraeducator Facebook group, which included the MLQ rating scale, a closed-response item on intent to leave, and an open ended question on intent to leave. Data was analyzed using statistical and correlational analyses, as …

Quality Improvement Initiative To Improve Adherence To Ob Hemorrhage Policy And Standardize Pitocin Administration During Cesarean Sections To Reduce Postpartum Hemorrhage Risk, Lauren R. Litz, Monica Blauser

Doctor of Nurse Anesthesia Practice (DNAP) Manuscripts

Postpartum hemorrhage remains a leading cause of maternal morbidity and mortality, and Pitocin administration is an important component of hemorrhage prevention and management during cesarean delivery. Variation in Pitocin timing, dosing, method of administration, and adherence to evidence-based recommendations may compromise patient safety and create barriers to standardized obstetric anesthesia care. The purpose of this Doctorate of Nurse Anesthesia Practice quality improvement project was to evaluate current anesthesia provider practices for Pitocin administration during cesarean delivery, compare observed practices with the California Maternal Quality Care Collaborative hemorrhage toolkit and Society for Obstetric Anesthesia and Perinatology Enhanced Recovery After Cesarean recommendations, …