Digital Commons Network^™

Correlation Visualizer, Manish Rami

Software

An interactive tool to understand correlations. The tool uses an example relationship between phonological awareness (CTOPP-2) and reading fluency. Both measures use standard scores (M = 100, SD = 15). Viewers can adjust r to explore how the strength and direction of correlation affects the scatter pattern and shared variance. Use the slider for r to see corresponding changes in the plot and the values of r and effect size.

Plant-Dominant Low-Protein Diet Versus Standard Care In Adults With Chronic Kidney Disease Stages 3–5: A Randomized Controlled Trial Protocol, Joelle Abi Kharma, Rana Sultan, Rana Rizk, Dalya Haroun, Hala Kilani, Kamyar Kalantar-Zadeh, Jessica Gubbels, Kathelijne Bessems

All Works

Background The plant-dominant low-protein diet (PLADO), providing 0.6-0.8 g/kg/d of protein with ≥50% derived from plant sources, may improve acid–base balance and metabolic outcomes in chronic kidney disease (CKD). However, concerns remain regarding safety and feasibility, and experimental evidence is limited. Objective This protocol describes a randomized controlled trial (RCT), designed to evaluate the efficacy, nutritional and biochemical safety, implementation feasibility, and cost-effectiveness of PLADO compared with the standard renal diet in adults with CKD stages 3-5. Methods This unblinded, parallel-group RCT will enroll 48 adults with CKD stages 3-5 in a medical center in Lebanon and randomize participants 1:1 …

Dataset To Analyzing Energy Use In 2 & 3d Imaging Systems And Workflows, Michael J. Bennett

Published Works

Analyzing Energy Use in 2D & 3D Imaging Systems and Workflows Dataset

CONTENTS: Z-WaveReportingProfiles; SessionInput; DroneFlights; SessionsComputed; Types; ByType; GrossSummaryUnweighted; WeightingSummary; Raw Sampling History Data

Interactive Distribution Visualizer, Manish Rami

Software

An interactive tool visualizing types of distribution. Viewers can morph between a bell curve, box plot, and cumulative frequency curve.

Reliability Vs. Validity Visualizer, Manish Rami

Software

A visualization tool to demonstrate the concepts of reliability and validity.

Each target represents repeated measurements of the same person or construct. The crosshair (✛) marks the true score. Reliability = how tightly shots cluster together. Validity = whether shots center on the true score. Click any panel for a clinical SLP example. Also see notes below the plots.

High-Resolution Lidar Observations For Coupled Effects Of Dry-Air Entrainment And Haze-Cloud Interactions On Cloud Vertical Structure, Jae Min Yeom, Suryadev Pratap Singh, Fan Yang, Hamed Fahandezh Sadi, Jesse Anderson, Yong Meng Sua, Manikandan Rajagopal, Steven Krueger, Will Cantrell, Raymond Shaw

Michigan Tech Research Data

Clouds act as crucial regulators of the Earth's radiation budget by reflecting shortwave solar radiation and absorbing longwave thermal emission. However, they continue to represent a major source of uncertainty in the climate models due to the subgrid-scale processes of cloud microphysics. A particularly complex mechanism is dry-air entrainment at cloud boundaries, which alters local supersaturation levels and drives droplet activation-deactivation cycles. Despite its significance, capturing these fast, small-scale processes remains an ongoing challenge.

In-situ airborne instruments provide only localized, intermittent spatial sampling along flight paths, whereas traditional ground-based remote sensing techniques lack the fine spatial resolution necessary to observe …

Life Cycle Of Lithium-Ion Battery Recycling Systems Enable Carbon Capture, Utilization, And Storage: A Review, Nabeel Al-Qirim, Mohammad Kamrul Hasan, Hussam Al Hamadi, Akm Ahasan Habib, Shayla Islam

All Works

The lithium-ion battery (LIB) is the primary component of electric vehicles (EVs), and its environmental consequences are significant for the eventual widespread adoption of EVs. Recycling used LIBs protects the environment and allows for the reuse of valuable materials. To achieve the goal of a circular economy, LIB recycling processes that conserve environmentally friendly resources and maintain sustainability need to be developed. The critical technology for achieving global climate goals is carbon capture, utilization, and storage (CCUS), which makes it possible to significantly lower carbon dioxide (CO2) emissions across power and industrial systems. The LIB recycling and CCUS are becoming …

R Code And Supporting Data For "Fast And Slow Water Handling Strategies Explain Pinyon Pine Decline And Juniper Expansion", Andrew Kulmatiski, Muhammad Faraz Rehman

Browse all Datasets

This repository contains the datasets, R scripts, HYDRUS-1D model files, weather data, and supporting materials used for the M.S. thesis, "Fast and Slow Water Handling Strategies Explain Pinyon Pine Decline and Juniper Expansion." The study investigated root water uptake and water-use strategies of pinyon pine (Pinus edulis) and Utah juniper (Juniperus osteosperma) using stable isotope tracer experiments, soil water flow modeling, leaf water potential measurements, stomatal conductance measurements, and environmental data collected across an aridity gradient in southern Utah, USA.

Parental Effects In Fall Webworm, Emma Sellers, Mykaela Tanino-Springsteen, Mayra Vidal, Dhaval Vyas, Gina Wimp, Mariana Abarca, Mattheau Comerford, Shannon Murphy

Data

The environment or experiences of a parent generation can impact the fitness of the next generation, a phenomenon known as parental effects. While a high-quality diet can directly benefit an individual and a low-quality diet can reduce fitness, a parental effect occurs only when there is a transgenerational response to these stimuli that manifests in the individual’s offspring. In dietary generalists, a parental effect could play an important role for offspring performance if the species experiences considerable variation in quality across host plants; positive parental effects may result from host matching between parents and offspring on high-quality host plants, whereas …

Dataset For Re-Assessing The Status Of High Desert Bird Populations Of The Morley Nelson Birds Of Prey National Conservation Area After 30 Years Of Change, Madeline C. Aberg, Jeremy Halka, Joseph M. Weldon, Robert A. Miller, Jay D. Carlisle

Biological Sciences Data

Bird populations across North America are in decline. In sagebrush and other shrubsteppe habitats, habitat loss and other human pressures threaten bird communities. Our study assessed the status of a bird community at the Morley Nelson Snake River Birds of Prey National Conservation Area, a high desert site in southwestern Idaho, USA. Between 29 May and 14 June 2022, and 31 May and 19 June 2023, we conducted avian point count surveys at historical points that were surveyed two or more years from 1992–1995. We assessed changes in bird species detections, vegetation, and fire history between survey periods, as well …

The Role Of Chatgpt In Higher Education: A Systematic Literature Review Of Applications, Perceptions And Ethical Implications, Mahmoud Abdelrahman, Shiyu Hu, Ons Al-Shamaileh, Ramy Hammady, Nishara Nizamuddin

All Works

Purpose – This study aims to systematically review the emerging literature on ChatGPT in higher education, focusing on its applications, impacts and ethical implications from the perspectives of students and academic staff. By synthesising evidence across disciplines and geographical contexts, the review identifies key benefits such as enhanced learning efficiency and artificial intelligence (AI) literacy, alongside challenges including academic integrity risks and unequal access. The purpose is to provide a comprehensive, student-centred understanding of ChatGPT’s role in higher education and to offer actionable insights for policy, practice and future research. Design/methodology/approach – This study adopts a systematic literature review (SLR) …

Synthetic-Chicken-Fillets, Chirantan Sen Mukherjee, Seung-Chul Yoon, William J. Beksi

Agriculture

This Synthetic-Chicken-Fillets dataset contains 1,000 synthetic 3D meshes designed to capture the natural variance and size diversity of real broiler fillets. The collection was developed to test automated woody breast detection algorithms within a physics-based simulation environment. We utilized a seed dataset of 2D depth maps derived from 40 real-world RGBD point cloud scans. These real depth maps were fed into a few-shot transfer learning pipeline using a generative adversarial network architecture. The resulting generated depth maps were reconstructed back into 3D meshes. The length and thickness of each mesh were randomly scaled based on physical measurements of real broiler …

Daniels Distinction Portfolio By Adrian Minde Hunshammer, Adrian Minde Hunshammer

Finance: Undergraduate Distinction Portfolios

A Daniels Distinction Portfolio of experiential education by Adrian Hunshammer.

Social Network Assessment For Adult Protective Services (Snaaps), Version 1.0: A Network Canvas Data Collection Instrument, Rebecca L. Mauldin, Laura E. Carter

Social Networks for Social Good Collection-Archive

The Social Network Assessment Protocol for Adult Protective Services (SNAAPS) is a Network Canvas interview protocol designed to support the collection, organization, visualization, and interpretation of social network data from older adults. The protocol was developed for use by Adult Protective Services practitioners, social workers, first responders, and other service providers who assess, refer, and intervene on behalf of older adults' well-being. The protocol facilitates the identification of social network characteristics associated with risk and protection related to elder mistreatment, including support relationships, financial involvement, conflict within the network, frequency of contact, connections to formal services, and patterns of network …

Geospatial Governance Failures In The Department Of Defense: Contractor Noncompliance, Ai Adoption, And The Parallel Treatment Of Gis And Cybersecurity, Lyndsey Olmstead

Geography and the Environment: Graduate Student Capstones

The Department of Defense's treatment of geographic information systems and cybersecurity as parallel rather than integrated policy domains produces geographically predictable vulnerability patterns across its global military installation footprint. This capstone investigates that conclusion through original spatial analysis, constructing a five-variable composite geospatial vulnerability index across the six U.S. Combatant Command regions using publicly available unclassified data. EUCOM ranked highest overall, driven by GPS/PNT spoofing density, commercial satellite coverage, and cyber incident frequency; CENTCOM ranked second, driven by OSINT exposure incidents and governance risk. The null hypothesis of random geographic distribution is rejected. Findings confirm the structural governance gap documented …

Best Strategies To Teach Nutrition Courses In Graduate Programs: A Systematic Review, Zeina Hojeij, Suzan Haidar, Rana Rizk, Nadine Mahboub

All Works

Introduction – Graduate-level nutrition education requires innovative teaching strategies that foster advanced clinical competence, professional communication, cultural responsiveness, and self-directed learning. Methods – This systematic review synthesized evidence from fifteen peer-reviewed studies examining diverse teaching strategies in graduate nutrition programs. Results – Most interventions employed simulation-based learning, experiential placements, or flipped classrooms, often incorporating technology such as virtual simulations and online collaborative platforms. Simulation and experiential approaches improved clinical competence, communication skills, empathy, and self-efficacy by providing realistic, hands-on experiences that bridged theoretical knowledge with professional practice. Flipped classrooms, though less frequently implemented, promoted teamwork, problem-solving, and reflective learning, while …

Neongooey; V1, Carlos Ortiz Quintana, Jonathan Keathley, Ramses Ramirez

Laboratory of Planetary Habitability Atmospheric Models

This is the 1D magma ocean code used to create the NEONGOOEY data files for the Coupled atmospHere Interior modeL Intercomparison (CHILI) papers. This is a modified version of the GOOEY code from Schaefer et al. 2016, which includes carbon dioxide, a primordial hydrogen envelope, a new atmospheric escape framework and a new analytical corrected gray atmosphere approach for computing the outgoing longwave radiation (OLR). It has been used to model Earth, Venus, and Earth-sized scenarios at the orbits of TRAPPIST-1b and e.

Data Supporting “Unifying Observations, Simulations, And Theory For Drizzle Size Distribution Tails”, Raymond Shaw, Kamal Kant Chandrakar, Steve Krueger, Yangze Ren, Fan Yang, Jae Min Yeom

Michigan Tech Research Data

The onset and rate of drizzle remain open problems in atmospheric physics. This study brings together theory, simulations, and observations to analyze the emergence of power-law tails in droplet size distributions as a signature of a dynamic steady state with coalescence growth balanced by sedimentation removal. By applying a collector-mode approximation, analytic solutions are derived, predicting a droplet radius distribution scaling of $n(r) \sim r^{-4}$, assuming a collection kernel $K \sim r^6$. These predictions are validated against large eddy simulations of stratocumulus clouds, which exhibit the expected $r^{-4}$ scaling in the drizzle tail. Furthermore, in-situ measurements from stratocumulus clouds sampled …

Flagellar Coordination In A Swimming Multicellular Bacterium, Erandi Sachinthanie Imiya Mudiyanselage, Melina Mati, Alexander P. Petroff

Physics

Microbial locomotion is well understood when cells use either a small number of flagella or a high density of cilia. However many microbes live in an intermediate regime where coordination strategies such as flagellar bundles and metachronal waves are not possible. The mechanisms by which such organisms coordinate the motion of their swimming appendages are not well understood. Here, we study the only known obligatory multicellular bacterium, which are of the genus Magnetoglobus. Cells of this genus live exclusively in spherical communities called consortia, which are composed of a monolayer of tens of cells. Approximately a thousand of flagella project …

Samuel Johnson Dictionary, 1773 Edition, Beth Rapp Young

Research Data and Datasets

This dataset contains digitized page images from the 1773 fourth edition of A Dictionary of the English Language, contributed by the University of Florida and Indiana University as part of a digital humanities project led by Beth Rapp Young. The collection provides foundational primary source material for the study of 18th-century English lexicography and supports research in textual analysis, transcription, and historical linguistics.

A Large Language Model-Based Analysis Of Vulnerability Discovery In Windows Software, Puya Pakshad, Samson Quaye, Jamal Al-Karaki, Marwan Omar, Maurice E. Dawson

All Works

Source code security auditing is essential before software release in order to identify programming faults that may lead to vulnerabilities and functional failures. In this paper, we present a structured security assessment of the Windows App SDK by integrating multiple static analysis tools with a context-aware and disagreement-aware Large Language Model (LLM) interpretation layer. Although static analyzers are effective in reporting potential weaknesses, their raw outputs often contain redundant alerts, limited contextual explanation, and inconsistent severity assignments. To address these limitations, the proposed LLM-based interpretation layer normalizes and de-duplicates alerts, filters context-limited or nonactionable warnings, and refines severity prioritization under …

A Machine Learning Framework For Residential District Cooling: Forecasting Consumption, Explaining Drivers, And Evaluating Decarbonization Pathways, Kadhim Hayawi, Husna Maliakkal, Neethu Venugopal, Thanveer Musthafa Hussain, Gomathi Bhavani Rajagopalan

All Works

District Cooling Systems (DCS) in the Middle East, while energy-efficient, are significant contributors to carbon emissions. This study introduces a novel framework to decarbonize DCS operations by integrating predictive machine learning, explainable AI (XAI), and renewable energy planning, all grounded in extensive real-world data. Leveraging a unique dataset from 59 residential buildings in the UAE—including energy consumption, climate variables, and building features—we developed a high-fidelity cooling load forecasting model. Following a rigorous chronological validation methodology, the Random Forest model was identified as the most robust, achieving a strong performance (R² = 0.8256, RMSE = 11,668.31). Outdoor temperature was confirmed …

3dcotton, Md Ahmed Al Muzaddid, William J. Beksi

Agriculture - Archive

3DCotton is an image dataset consisting of 8 cotton plants recorded at the Texas A&M University Research Farm. The images were captured using an Apple iPhone at a resolution of 1040x1920 pixels. Approximately 150 images per plant were taken from a distance of 1 m by recording multiple viewpoints. These images can be utilized for developing 3D reconstruction methods.

From Ethical Principles To Executable Governance: A Policy-As-Code Framework For Trustworthy Ai In Higher Education, Edmund Evangelista, Syed M. Salman Bukhari

All Works

Artificial intelligence holds great potential to transform higher education, but a persistent gap remains between ethical aspirations and their practical, auditable enforcement. This study addresses that gap by developing and validating an end-to-end executable governance framework grounded in a policy-as-code (PaC) paradigm. Using student dropout prediction as a high-stakes example, the framework operationalizes governance through an automated gatekeeper, a multi-strategy fairness mitigation toolbox, and a tamper-evident audit chain for full reproducibility. The governance compliance was tested across sixteen fixed model configurations evaluated under five policy tiers (strict, medium, lenient, and two deployment-realistic variants). None were approved, as fairness violations, dominated …

The Can Challenge: Understanding The Best Ways To Incentivise Recycling Through A Diffusion Approach, Michael Brock, Lucia M. Murgia, Stefania Sitzia, Jiwei Zheng

All Works

Understanding the best ways to incentivise recycling and improve the efficiency of waste practices is a key environmental, social, and economic management problem that needs addressing.We search for solutions to this issue by testing the effectiveness of two incentive mechanisms (a piece-rate and a lottery-based systems). We run a similar field experiment in three different locations, namely a student, residential and workplace environment, to verify the robustness of our findings and thus increase confidence in the external validity of our intervention. By interpreting recycling activity as marketable service, we employ a diffusion model to analyse the potential adoption of the …

The Association Between Ethical Ai Use And Well-Being Among Young Adults In The Uae: A Structural Equation Modeling Approach, Areej Elsayary, Zeina Hojeij, Lames Abdul Hadi

All Works

This study examines the association between ethical AI use and young people’s emotional, social, and psychological well-being in the United Arab Emirates (UAE), where the number of hours spent on GenAI serves as a moderator. Framed within the Theory of Planned Behavior and aligned with the Sustainable Development Goals (SDGs), particularly SDG 3 (Good Health and Well-being) and SDG 13 (Climate Action), this research examines how responsible digital engagement is associated with both individual mental health and broader digital sustainability. A Structural Equation Modeling approach assessed how ethical AI behaviors are associated with well-being. A total of 204 participants, predominantly …

Trust Asymmetry And Cross-Border Merger Withdrawals: A Global Perspective, Muhammad Farooq Ahmad, Saqib Aziz, Rwan El-Khatib, Duc Khuong Nguyen

All Works

We empirically examine how trust asymmetry between countries can impact the cross-border merger outcome. Differing trust perceptions between acquirer and target countries can increase the complexities of deal negotiations and integration, constraining the successful deal completion and outcome. We find, in a comprehensive global sample of 56 countries spanning 37 years, that higher trust asymmetries between the acquirer and target countries significantly increases the cross-border merger withdrawal intensity and reduces the expected synergy gains. Moreover, the adverse effects of trust asymmetry are significantly attenuated by the quality of institutions in both countries. Our results hold after employing various empirical techniques …

Predicting Takeover Rumor Accuracy With Machine Learning, Hamed Khadivar, Frederick Davis, Ameneh Khadivar, Ivan Stetsyuk

All Works

This study applies machine learning models such as TabNet, XGBoost, CatBoost, Support Vector Machines, a Multilayer Perceptron, and Logistic Regression to predict takeover-rumor accuracy using a proprietary dataset of 2074 rumor articles with identifiable target firms, screened from over 30,000 news articles from January 2002 to December 2011. In the raw feature (no-PCA) specification, Logistic Regression and TabNet perform similarly. After addressing class imbalance and applying dimensionality reduction (PCA), TabNet materially outperforms Logistic Regression and delivers economically meaningful gains: A TabNet-based long-short strategy earns higher average monthly abnormal returns than a Logistic Regression strategy at both horizons, 1.148% versus 0.773% …

Insights Of Pre-Service Teachers In The Uae On Ai-Infused K-12 Classrooms: Implications For Policy And Curricula In Teacher Education, Ayman Massouti, Nessrin Shaya, Sandra Baroudi

All Works

No abstract provided.

Concordia Seminary Magazine Spring 2026, Ken Ohlemeyer

Concordia Seminary Magazine

Shaped for His Service