Digital Commons Network^™

Leapp Basic And Advanced Spelling Inventories, Chenell Loudermill, Tamar Greenwell

Purdue-LEaPP Assessment Toolkit

The LEaPP Basic and Advanced Spelling Inventories are educational tools to systematically map and track a learner’s ability to encode words containing spelling features along a progression. The Basic screener starts with single graphemes and closed syllable words and moves through additional concepts such as digraphs, blends, VCe, vocalic r, basic vowel teams, and basic roots and affixes. The Advanced screener starts with beginning advanced code such as blends and moves through additional advanced concepts such as vocalic r, vowel teams, diphthongs, complex consonants, roots, affixes, and syllable junctures. The screeners can be used in part or whole and can …

Analysis Of The Cannabinoid Compositions, Byproducts And Heavy Metals In Unregulated Cannabinoid Products By Hplc-Ms/Icp-Ms, Simone K. Melle

All NMU Master's Theses

The rapid expansion of unregulated hemp-derived products has created a need for analytical methods that characterize both cannabinoid composition and contaminant occurrence. This thesis used liquid chromatography-tandem mass spectrometry (LC-MS/MS) to quantify cannabidiol (CBD), Δ8-tetrahydrocannabinol (Δ8-THC), and Δ9-tetrahydrocannabinol (Δ9-THC), and inductively coupled plasma mass spectrometry (ICP-MS) to measure Al, As, Cd, Cr, Cu, Fe, Mg, Ni, Pb, and Zn in commercial hemp-derived products, laboratory-prepared hemp oils, cultivated hemp tissues, extracted material, and post-harvest soil. Commercial products showed wide cannabinoid variability, with several samples containing more than one target cannabinoid, while laboratory-prepared plant oils showed a more consistent profile dominated by …

The History Of Poro College From 1902-1965, Chajuana V. Trawick Ferguson

Dissertations

This study investigates the development, operation, decline, and historical erasure of Poro College, the first multimillion‑dollar, minority‑owned higher education institution and vertical beauty‑culture enterprise, founded by Annie Turnbo Malone in St. Louis, Missouri. Drawing on Poro College documents, Black newspaper archives, National Trust for Historic Preservation records, and interviews with individuals knowledgeable about the institution, the research addresses four central questions: how Poro College was developed; its impact on students, employees, and the surrounding community; its relevance for current and future minority women educators and entrepreneurs; and the factors that contributed to its closure and eventual demolition. Evidence from the …

Commitment To Community (2026), University Of Dayton. Campus Ministry, University Of Dayton. Student Development

Student Development Documents

Catholic Marianist vision of education makes the University of Dayton community unique. It shapes the warmth of welcome we experience and the family spirit we treasure. It calls us — across a variety of faith traditions and perspectives — to a learning and working environment where faith and life are integrated. It challenges us to take up the hard work necessary to build the spiritual, moral, physical and social dimensions of our community.

Behavior, expectations, policies and relationships at UD are guided by the Catholic moral tradition. This Commitment to Community highlights three Catholic Marianist principles for learning, working and …

Recover Well: Reducing Readmissions Through Nurse-Led Follow-Up After Urologic Surgery – A Quality Improvement Project, Candace Brigette Mike

Doctor of Nursing Practice Projects

Hospital readmissions within 30 days following urologic surgeries are often associated with catheter complications, infections, poor pain management, and limited patient understanding of discharge instructions and therefore represent a significant quality and safety concern for patients and institutions alike. The purpose of this quality improvement project was to evaluate whether implementing structured, nurse-led telephone follow-up in conjunction with standard discharge education reduced unplanned 30-day hospital readmissions among adult patients undergoing urologic surgery. Guided by the Logic Model framework, this project used a quasi-experimental, two-group pre- and post-intervention design to compare outcomes at a high-volume outpatient urology clinic in Houston, Texas. …

Light & Faith: August 2026, Taylor University

Light & Faith

No abstract provided.

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 …

Myocarditis, Children's Mercy Kansas City

Clinical Pathways

No abstract provided.

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 …

Library Dispatch

Campus Department Newsletters

Newsletter with updates and event information for the Jane Bancroft Cook Library.

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 …

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. …

Definitions And Mathematical Models Of Op Variants, Pieter Vansteenwegen, Aldy Gunawan

Research Collection School Of Computing and Information Systems

We have described the basic orienteering problem (OP) in Chap. 2, as one known variant of the single vehicle routing problems with profits (VRPP). In this chapter, we introduce the best-known variants of the OP. The first one is the team orienteering problem (TOP). In the TOP multiple routes can be composed to visit a subset of customers. In the context of the game of orienteering, the TOP corresponds to several players of the same team, each collecting profits in parallel, during the same time span. Another well-known variant of the basic OP is the OP with time windows (OPTW), …

Bar Prep As A Balancing Act: The Process, Pitfalls, And Payoffs Of Juggling Multiple Commercial Bar Review Resources, Tiffane Cochran, Andrea M. Pals

AccessLex Institute Research

AccessLex Institute® undertook a study to understand how Spring 2025 law graduates leveraged commercial bar review resources to prepare for the July 2025 bar exam. Across three surveys administered in April 2025, August 2025, and January 2026, we explored the graduates’ intended and actual use of commercial bar review resources, their approaches to allocating time among bar review resources, and whether those approaches resulted in bar exam success. The data yield a few key observations:

• Nearly all respondents used a commercial bar review course in combination with one to three supplemental resources, ramping up the number of hours they spent …

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 …

Knowledge, Physician Communication, And Psychological Predictors Of Willingness To Engage In Dementia Risk Reduction Across The Lifespan, Thomas Fisher

Dissertations

Dementia represents a growing global public health concern, with increasing evidence suggesting that a substantial portion of dementia risk may be attributable to modifiable lifestyle and health-related factors. However, relatively little is known about public knowledge of these risk factors, willingness to engage in dementia risk reducing behaviors, and psychological factors that may be associated with willingness. The present study examines these factors among adults living in the United States across the lifespan. Participants (N = 308) completed an anonymous online survey assessing dementia risk-factor knowledge, willingness to engage in dementia risk reducing behaviors, primary care provider communication regarding dementia …

The Weight We Carry: An Arts-Based Narrative Screenplay Of Academically Successful African American Male Students, Freddie Mcgee

Dissertations

The purpose of this study was to examine, understand, and creatively represent the stories of African American male college students from low-income backgrounds who were raised by single parents and were academically successful. Guided by the overarching research question — What are the stories of academically successful African American male college students from lowincome homes who single parents raised? — The study sought to understand how participants navigated institutional racism and systemic barriers while achieving academic success, and how they resisted deficit-based stereotypes and expectations in higher education.

This study employed a critical, arts-based, qualitative narrative inquiry approach grounded in …

Black Adolescents' Understanding Of Racial Trauma: An Interpretive Phenomenological Analysis, Winifred Wilson

Dissertations

Over the past two decades, scholars have increasingly recognized that chronic stress from racism can cause racial trauma in Black individuals. However, research on the impact of racial trauma on Black adolescents remains limited. Understanding the language and experiences of Black adolescents is essential for identifying and addressing the biopsychosocial effects of racial trauma. This study used interpretive phenomenological analysis to examine how 12 Black adolescents (9 boys, 3 girls, aged 14-17) from the Midwest conceptualize, experience, and cope with racial trauma. Participants completed two interviews: an initial session exploring their understanding and experiences, and a member-checking interview (completed by …

Analysis Of A Process-Based Approach To Case Formulation And Treatment With Acceptance And Commitment Therapy, Callum Smith

Dissertations

Process-Based Therapy (PBT) is a novel approach to clinical research and practice. PBT is proposed as an alternative model to classic diagnostic frameworks. It emphasizes conceptualizing psychological problems through adaptive and maladaptive processes of change. The aim of current PBT research is to develop reliable methods of organizing change processes into network models. In network models, change processes are presented in nodes connected by lines and arrows to represent the interacting relationships between those processes for a given individual. The present project aims to evaluate the inter-rater reliability and predictive validity of a novel semi-structured interview method to aid in …