Digital Commons Network^™

Modeling Generative Ai Adoption In Higher Education: An Integrated Tam–Tpb–Sdt Framework With Sem Validation, Dina Tbaishat, Omar Alfandi, Faten Hamad, Syed Muhammad Salman Bukhari, Suha Al Muhaissen

All Works

This study investigates the determinants of university students' adoption of generative artificial intelligence (GAI) tools in higher education. Integrating the Technology Acceptance Model (TAM), the Theory of Planned Behavior (TPB), and Self-Determination Theory (SDT), it develops and tests a complete model that captures cognitive, social, and motivational influences on adoption. A cross-sectional survey was conducted among 517 undergraduate and postgraduate students at Jordanian universities. The data were analyzed using structural equation modeling (SEM) with a two-step approach: confirmatory factor analysis (CFA) to validate the measurement model, followed by SEM to test the hypothesized structural relationships. Reliability, validity, measurement invariance across …

Strategic Intent And International Corporate Entrepreneurship: The Role Of Learning Climate And Entrepreneurial Leadership In A Developing Economy, Maytha Al Ali, Muhammad Usman, Ilknur Ozturk

All Works

In today's fast-paced global economy, born-global SMEs must rapidly develop strategic capabilities to compete on the international stage. Understanding how these firms cultivate entrepreneurial behavior across borders is critical for sustaining competitive advantage. However, limited research has systematically examined the mechanisms and boundary conditions through which strategic intent translates into international entrepreneurial outcomes, particularly in developing economy contexts such as Pakistan. Drawing on dynamic capabilities theory, this study explores how the strategic intent of born-global firms drives international corporate entrepreneurship (ICE). We propose that a supportive learning climate acts as a key mechanism through which strategic intent translates into ICE. …

From Proficiency To Pedagogy: A Mixed-Methods Study Of In-Service Teachers’ Tpack-Genai And The Mediating Role Of Pedagogical Knowledge, Laila Mohebi, Areej Elsayary

All Works

This study investigated in-service teachers' Technological Pedagogical Content Knowledge for Generative Artificial Intelligence (TPACK-GenAI) and examined the factors influencing their integration of generative AI in classroom practice. Using an explanatory sequential mixed-methods design, data were collected from 325 in-service teachers across 26 countries, followed by in-depth interviews with seven teachers. Quantitative results revealed that Technological Knowledge (TK), Pedagogical Knowledge (PK), and Pedagogical Content Knowledge (PCK) were significantly associated with teachers' overall TPACK-GenAI. Crucially, mediation analysis confirmed that Technological Pedagogical Knowledge (TPK) serves as the indirect association through which TK is related to overall TPACK-GenAI competence. Qualitative findings enriched this result, …

A Proactive Food Demand Forecasting-Inventory Management Approach Under Weather Disruptions, Asmaa Seyam, Sujith Samuel Mathew, May El Barachi, Jun Shen

All Works

Effective demand forecasting has become crucial to strengthening system resilience, reducing food waste, and achieving sustainability in food systems. Despite recent advances in leveraging machine learning for food demand forecasting, most existing models remain static and assume stable demand patterns, posing a challenge for adapting to demand changes during disruption events. This paper develops a proactive approach that leverages demand forecasting outputs and weather disruption flags to guide inventory replenishment, ensuring adaptability to varying demand conditions across three weather disruption events while reducing waste. This paper first uses a stacking model to predict next-day demand for a food retailer, leveraging …

Implications Of Career Guidance On Career Choices And Professional Development: Stakeholders’ Perspectives From Selected Higher Educational Institutions In The Uae, Solomon Arulraj David, Laila Mohebi

All Works

Career choices and professional development are influenced by various factors, such as family dynamics, teacher guidance, career counselling, peer influence, continuous learning, and market trends. This study aims to explore the experiences and perspectives of both students and staff regarding the impact of career guidance on the career choices, professional development of undergraduate Emirati students in selected higher education institutions in the UAE. Twenty-three participants, purposefully chosen, were interviewed using a semi-structured questionnaire. Thematic analysis was employed to analyze the gathered data. The findings indicate relatively a positive understanding of staff and students regarding the heightened awareness of career choices …

Data Supporting The Manuscript Aboveground Vulnerability And Belowground Resilience: Contrasting Responses To Precipitation And Herbivory Timings In A Mixed-Grass Prairie, Walter Wafula, A. Joshua Leffler, Krista Ehlert

NRM Departmental Data Sets

Dataset DOI: 10.62812/ZIAO4850

The downloadable zip file contains the following four data points:
File types: .xlsx and .doc

1. Soil moisture content data samples 
2. Monthly aboveground biomass production samples 
3. Season-long belowground biomass production samples
4. Line Transect Cover Observations at the beginning of summer season
   
   

How Hot Was The Jurassic Climate?, Richard Reynolds

Faculty of Science and Engineering Datasets

Appendacies for PhD thesis: How hot was the Jurassic Climate? Rhicert William Reynolds, University of Plymouth, 2026.

Segmented Inner Skull Cavities Of Eothoracosaurus Mississippiensis (Msu 3293), Amy Moe-Hoffman, Renee Clary

Research Data

Dunn-Seiler Museum specimen data:

• Catalog Number: DSM/MSU#3293 HOLOTYPE 
  
• Geographic Locality: Oktibbeha County, MS Rock Hill vicinity 
  
• Geologic Locality: Ripley Formation 
  
• Age: Cretaceous (Maastrichtian)   

Specimen includes Cranium, Mandible, loose teeth, and post-cranial elements.  

1. CT Scan description: The specimen MSU 3293 was scanned at the Mississippi State University College of Veterinary Medicine using a GE LightSpeed VCT (GE Healthcare, Chicago, Illinois, USA; www.gehealthcare.com ) on May 4th 2022, with scan energies of 120kV and 200mA. This produced 1593 images with a slice thickness of 625µm. 
2. 3D models: 3D models of segmented inner skull cavities based on segrmetation of the CT scanned …

Creative Practice Submission: 3rd European Baha'i Choral Festival, Colin N. Webber Dr

Staff Scholarship - Australia & Dubai

n May 2026, I travelled to Germany on invitation to conduct two choral works at the 3rd European Baha'i Choral Festival - one an original composition and one an arrangement of a piece by Australian composer Tom Francis), both recent works from the corpus of a cappella choral music I have developed over several decades in response to the writings of the Baha'i Faith. The two concerts took place on 17 May 2026 at the Baha'i-Haus der Andacht von Europa (European Baha'i House of Worship), Langenhain, Germany, following three days of intensive ensemble rehearsals with the 75 voice choir. These …

Applied Reproductive Science: Technology, Ethics, And Management In Modern Animal Systems, Hagan Beach

Publications

This creative component course development project includes five (5) supplementary lessons focused on animal welfare concerns in livestock reproduction, biological foundations of ethical animal reproduction, responsible use of reproductive technology, ethical reproductive management, and ethical breeding decisions in livestock genetics. This resource also includes a teacher guide, supplementary instructional materials, assessment materials, implementation guidance, and reflection sections.

Together, these components give teachers a usable set of lessons and support materials for bringing ethical decision-making into animal science instruction. Although each lesson can stand on its own, the sequence was arranged to move from foundational reproductive science into more applied questions …

Deep Learning Compilers, Raffi Khatchadourian

Open Educational Resources

These lecture slides introduce deep learning compilers for a graduate compiler-construction course (CSc 81010). Building on the classical compiler pipeline, they show how modern machine-learning systems compile tensor programs: static tensor and type analysis (illustrated by a WALA/Ariadne-based refactoring of imperative TensorFlow code to graph mode), MLIR-based end-to-end compilation with IREE, and the PyTorch 2.x stack—TorchDynamo graph capture, AOTAutograd, PrimTorch operator decomposition, and TorchInductor lowering to Triton (GPU) and C++/OpenMP (CPU). The slides are a self-contained HTML (W3C Slidy) deck with editable Pandoc Markdown source. Part of a two-session unit on advanced compiler topics; see also "LLMs in Compiler Construction."

Llms In Compiler Construction, Raffi Khatchadourian

Open Educational Resources

These lecture slides survey the use of large language models (LLMs) in compiler construction for a graduate compiler course (CSc 81010). They situate LLMs across the compiler pipeline and examine representative work: foundation models trained on LLVM IR and assembly (Meta's LLM Compiler), LLM-driven code optimization, binary decompilation (LLM4Decompile), and LLM-assisted automated refactoring—alongside the challenges of applying probabilistic models to tasks that demand correctness. The slides are a self-contained HTML (W3C Slidy) deck with editable Pandoc Markdown source. Part of a two-session unit on advanced compiler topics; see also "Deep Learning Compilers."

Shimmer Methodology: May 2026 Cultural Studies Association Of Australasia, Lola Montgomery

Staff Scholarship - Australia & Dubai

This webinar presents an overview of the contemporary state of creative-practice research and autotheory before introducing Shimmer, an emerging methodological framework developed through creative practice, postgraduate supervision, and reflective inquiry. The presentation argues that while creative-practice research has successfully established creative work as a legitimate form of knowledge production, and autotheory has legitimised lived experience as theoretical material, both traditions leave relatively under-theorised the embodied moment through which insight first emerges.

The significance of the work lies in its contribution to ongoing debates around embodiment, affect, intuition, and knowledge production within creative-practice research. Shimmer proposes a language for understanding …

Beyond Religious Narcissistic Identification: Agnostic And Atheistic Narcissism, Magdalena Żemojtel-Piotrowska, Jarosław Piotrowski, Bartłomiej Nowak, Vassilis Saroglou, John Maltby, Constantine Sedikides, Mladen Adamovic, Nur Amali Aminnuddin, Seth Christopher Yaw Appiah, Rahkman Ardi, Zana Hasan Babakr, Einar Baldvin Baldursson, Sergiu Bălțătescu, Muhammed Bilgehan Aytaç, Aidos Bolatov, Bruno Bonfá-Araujo, Matthias Burghart, Phatthanakit Chobthamkit, Marilyn Clark, Magali Clobert, Richard G. Cowden, Jesus Alonso Datu, Sandesh Dhakal, Sonya Dragova-Koleva, Begoña Espejo, Dmitry Grigoryev, Emanuela Gritti, Katherine Gundolf

All Works

Agnosticism and atheism are often grouped simply as nonreligious identities, yet emerging research highlights their distinct psychological profiles and social implications. Among these distinctions, collective narcissism–characterized by strong attachment to one’s group, exceptionalism, and grievance for recognition–offers a framework for understanding identity processes in both nonreligious groups. We examined whether agnostics and atheists exhibit collective narcissism and its forms (agentic–focused on exceptional effectiveness; communal–focused on exceptional morality) similarly to believers. We explored cross-denominational variance in agentic and communal collective narcissism levels relying on data from 77 countries (N = 3,570; 1227 agnostics, 2343 atheists). Agnostics and atheists from secular countries …

Data Supporting “Haze–Cloud Correlations Mediated By Supersaturation Fluctuations”, Hamed F. Sadi, Fan Yang, Jesse Anderson, Suryadey P. Singh, Will Cantrell, Raymond Shaw

Michigan Tech Research Data

Atmospheric aerosol particles that contain water-soluble components can absorb water vapor in humid environments and form either haze particles or cloud droplets, depending on supersaturation conditions. Laboratory and in-situ measurements have shown that haze particles and cloud droplets often coexist and compete for available water vapor in shallow clouds and fogs, especially under polluted conditions. It is expected that more aerosol particles can form more haze particles and cloud droplets, so that the haze and cloud number concentrations are positively correlated. However, recent large-eddy simulations show that haze and cloud number concentration can be negatively correlated under extremely polluted conditions. …

Companionships, Transportation, And Health Among Members Of A Hispanic Senior Center: A Sociometric Social Network Dataset, Rebecca Mauldin Phd, Msw, Vismaya Prakasan Msis, Akshay Thakare Msis, Rupal Parekh Phd

Social Networks for Social Good Collection-Archive

This dataset contains survey and social network data from 42 members of a predominantly Puerto Rican senior center in Hartford, Connecticut. It includes two linked components (1) participant-level information on demographics, health, mobility, and transportation, and (2) a sociometric network of companionship ties among members. The data are designed for use in social network analysis and research on aging, mobility, and social relationships. These data can be used to explore questions such as how companionship ties are structured among older adults in a community setting; whether individuals with similar characteristics (e.g., age, gender, health status) are more likely to form …

Graduates List - May 2026, University Of Nebraska At Omaha

Commencement Lists

No abstract provided.

Etsu Covid-19 Information Website Archive (Html), East Tennessee State University

ETSU COVID-19 Information [2020-2023]

This submission contains a copy of the ETSU COVID-19 Information website (formerly www.etsu.edu/coronavirus) as it existed in May of 2026. The file contains a zipped folder with the combined HTML/CSS data from each portion of the archived site. The HTML can be opened in a web browser. Outbound hyperlinks have been removed from the HTML files but some links may remain that are no longer active.

The ETSU COVID-19 site (including versions prior to May 2026) has also been archived in the Internet Archive's Wayback Machine.

Rethinking Covid-19 Tourism Recovery, Anestis Fotiadis, Efstathios Polyzos, Tzung Cheng Huan

All Works

No abstract provided.

Csbsju Ash Tree Maps, Trevor Barton

Celebrating Scholarship and Creativity Day (2018-)

Ash trees in MN are recently susceptible to the invasive species of Emerald Ash Borer. These insects burrow into native MN ash trees, lay their larvae, and significantly harm or kill the trees. MN native ash trees are not equipped to deal with this invasive species and rather need to be chemically treated to save the trees. These maps depict the GPS locations of the ash trees on CSBSJU campus proper. Trees were mapped by hand with a Garmin GPS device while size, health, and value to campus assessments were recorded to pair along with the maps in a separate …

Narrative Of Montana State University, 1893-1935, Mary Brennan Clapp

Mary Brennan Clapp manuscript: "Narrative of Montana State University [University of Montana], 1893-1935"

In her unpublished manuscript “Narrative of Montana State University, 1893-1935” Mary Brennan Clapp (1884-1966), wife of university president Charles H. Clapp (1883-1935), covers the administrations of the University of Montana’s first five presidents. The manuscript was edited by John Brennan Hagens in 2026. Hagens added in the edits Mary Brennan Clapp wrote on her original manuscript and included chapter subheadings. Hagens also created indexes for the manuscript and included four appendices that provide additional information about Charles Clapp, Mary Brennan Clapp and the Clapp and Brennan families. [Note: The University of Montana in Missoula was called Montana State University from …

Smart Medical Support System And Swin Transformer Framework For Breast Cancer Detection And Segmentation In Mammograms, Ahed Abugabah, Prashant Kumar Shukla, Piyush Kumar Shukla, Abhishek Dwivedi

All Works

Accurate and reliable breast cancer detection from mammographic images remains a critical challenge due to subtle lesion appearance, high intra-class variability, and class imbalance inherent in clinical datasets. To address these issues, this study proposes Swin-BreastNet, an explainable and optimization-driven deep learning framework for binary classification of benign and malignant breast lesions from full-field digital mammograms. The proposed approach leverages the hierarchical Swin Transformer model to effectively capture fine-grained local texture patterns and long-range contextual dependencies through Shifted Window Multi-head Self-Attention (SW-MSA). A key novelty of this work lies in the integration of Harris Hawks Optimization (HHO) for automated hyperparameter …

Worldview-Bench: A Benchmark For Evaluating Global Cultural Perspectives In Large Language Models, Abdullah Mushtaq, Imran Taj, Rafay Naeem, Ibrahim Ghaznavi, Junaid Qadir

All Works

Background: Large Language Models (LLMs) are predominantly trained and aligned in ways that reinforce Westerncentric epistemologies and socio-cultural norms, leading to cultural homogenization and limiting their ability to reflect global civilizational plurality. Existing benchmarking frameworks fail to adequately capture this bias, as they rely on rigid, closed-form assessments that overlook the complexity of cultural inclusivity. Objectives: To address this cultural bias problem, we introduce WorldView-Bench, a benchmark designed to evaluate Global Cultural Inclusivity (GCI) in LLMs by analyzing their ability to accommodate diverse worldviews. Methods: Our approach is grounded in the Multiplex Worldview proposed by Senturk et al., which distinguishes …

Breaking The Silence - Involving Juveniles On Probation In Music Production, Emma Harrison

Undergraduate Research and Engagement Symposium

My presentation talks about getting juveniles on probation involved with music production through my program, entitled Breaking the Silence. This presentation will dive into why, when, where, and who is involved in program planning put on by Family Court, the effects involvement in programs has on rehabilitation, and how we can use Breaking the Silence to break the silence on the stigma surrounding juvenile offenders.

Biophysical Characterization Of Protein-Lipid Interactions Using Suv Model Membranes, Nick Pufall

Undergraduate Research and Engagement Symposium

Membrane protein–lipid interactions are critical for cellular signaling but are difficult to study in controlled systems. Here, we synthesized small unilamellar vesicles (SUVs) from DOPC and DOPS lipids using freeze–thaw cycles and extrusion to achieve low polydispersity. SUV size strongly influenced lipid accessibility: highly curved vesicles (<100 nm) introduced packing defects that will enhance lipid transfer to bovine serum albumin (BSA), while larger vesicles show reduced transfer due to tighter packing. DLS and fluorescence measurements support increased stabilization of protein–lipid complexes in smaller SUVs. Differences between DOPC and DOPS further highlight the role of lipid composition in regulating protein–membrane interactions.

Nous Mètodes Per L’Estudi De Tenores I Tibles: L’Espectroscòpia Xrf, Nuria Bonet

School of Art, Design and Architecture

No abstract provided.

Qualitative Dataset On Student Interpretation Of Automated Code Feedback And Programming Self-Efficacy, Mary Benjamin

Michigan Tech Research Data

This dataset supports a qualitative study examining how first-year engineering students interpret automated code feedback and how these interpretations relate to the development of programming self-efficacy.

The study focuses on student interactions with an automated code critiquer (WebTA) in a MATLAB-based introductory programming course. It explores how feedback influences students’ emotional responses, debugging behaviors, and confidence development.

Conceptual framing: Automated Feedback → Interpretation → Self-Efficacy Development

Husky Paws S-Stem Summer Bridge Program Dataset (2024 Cohort), Michelle Jarvie-Eggart, Kathryn L. Hannum, Karlee J. Westrem, Lincoln Sorenson, Briana C. Bettin, Adrienne R. Minerick

Michigan Tech Research Data

This dataset was collected as part of the Husky PAWS (Pathways for Academic
Wellness & Success) S-STEM program at Michigan Technological University. It
includes anonymized quantitative and qualitative data from a three-week
pre-semester summer bridge program in 2024, designed to support low-income,
STEM-bound students. Data sources include pre- and post-program Likert and
open-ended surveys and daily written reflections aligned with instructional
modules on metacognition and Yosso’s Community Cultural Wealth Model (CWM).
The dataset supports research on how bridge programming influences
students’ sense of belonging, metacognitive development, and engagement
with institutional support systems during the transition to college.

Lidar Datasets For Development And Testing Of Preprocessing And Artificial Intelligence Damage Detection Of Alaskan Arctic Roads, Naima Kaabouch, Artificial Intelligence Research Center

Datasets

This data was primarily used for the development and testing of preprocessing and artificial intelligence damage detection algorithms for Alaskan arctic roads. They provide a high-resolution, geospatial scan of almost 95 kilometers of Arctic roadways along the Dalton, Steese, and Nome Highways in Alaska. The data used was collected using a ground vehicle and uncrewed aircraft mounted LiDAR sensors between 2022 and 2024. The dataset provides a spatial resolution exceeding 300 pts/m2 and < 2 cm vertical accuracy with a total data volume just over 16GB. The data is broken into three regions including Nome, Prudhoe Bay, and Yukon. Each region contains multiple datasets representing the reference output for multiple stages of the processing including slicing into 100m segments, segmentation of the surrounding non-road data, and filtering the remaining noise/objects above the roads surface. Damage was also identified, categorized, and labeled within the Nome region due to the extensive damage from Typhoon Merbok.

The 12-Week Silence: A Scrollytelling Investigation Into Early Pregnancy Loss And The Case For Continuous Progesterone Monitoring, Audrey Gold

FHSS Mentored Research Conference

Opens with the scale of the problem (up to 1M miscarriages annually, all in the most data-poor window of pregnancy), describes the methodology (2 original surveys, 4 clinical interviews, peer-reviewed literature), walks through what the piece does visually (the distribution curve, the blind-spot timeline, the 5-phase progesterone chart, the intervention pathway), and closes with the central argument — that the silence is a gap in technology, not an inevitability.