Scholarly Publishing Commons^™

Showcasing Data With Widgets And Dashboards: Making Analytics Data More Accessible For Alma Users, Mary Tuttle

Library Scholarship

This presentation covers different methods of making data in Alma Analytics more accessible to Alma users. It demonstrates creating visualizations in Alma Analytics and the Data Visualization tool, creating widgets for users' Alma homepages, managing tricky sorting, and adding dynamic action links to Analytics reports and widgets.

Celebrating 25 Years Of Collaboration: A Bibliography Of Afit-Afrl’S Top 50 Most-Cited Works, Wheeler Hall, Michelle Burwinkel

AFIT Library Knowledge Base

This bibliography compiles the 50 most-cited collaborative publications between the Air Force Institute of Technology (AFIT) and the Air Force Research Laboratory (AFRL) from 2000 to early 2025, showcasing their interdisciplinary impact across advanced science and engineering. Spanning materials science, remote sensing, terahertz spectroscopy, nanomaterials, aerospace, fatigue mechanics, biomedical applications, communication systems, optics, machine learning, and hypersonic engineering, the works highlight innovative methodologies and transformative applications. This collection underscores AFIT-AFRL’s contributions to cutting-edge research, offering valuable insights for researchers, engineers, and stakeholders in defense and technology development.

Dominance Of Leading Business Schools In Top Journals: Insights For Increasing Institutional Representation, Rodrigo Romero-Silva, Erika Marsillac, Sander De Leeuw

Information Technology & Decision Sciences Faculty Publications

The competitive push for business schools to publish in prestigious journals has resulted in a disproportionate number of papers in prestigious Management and Operations Research/Management Science (OR/MS) journals coming from a select group of institutions. Our analysis shows the Matthew effect of prestigious journals favors established schools with 51.2% of papers in 18 Management ABS 4* journals and 61.3% of papers in 3 OR/MS ABS 4* journals involving authors from the 100 top business schools identified by the University of Texas at Dallas (UTD). Citation patterns are similarly concentrated among papers authored by scholars from UTD-listed business schools, with nearly …

Techno-Pedagogic Discourse And The Online Learning Assetization Regime, David F. Ayers

Educational Leadership & Workforce Development Faculty Publications

Research on academic capitalism has critiqued the commodification of knowledge, but it has not critiqued assetization. The difference between commodification and assetization is more than a technical distinction. Extracting value from assets requires a different regime of coordination than what is required for extracting value from commodities. Through an analysis of 132 texts related to the online course review process at 16 research universities in the USA, I propose and problematize an online learning assetization regime which transforms discipline-based knowledge into digital content that can be owned, controlled, and managed as a university asset. This process potentially alienates faculty from …

Accessibility In The Academic Library: Assessing The Web Accessibility Of Neflin Member Library Websites, Cody Michaels

Publications

Web accessibility has been a topic of discussion in organizations for decades. Much ink, physical and digital, has been spilled urging developers, designers, and web administrators to build their online environment so that users of all abilities can access their content. Despite this, web accessibility remains out of reach across swathes of the Internet. The organization WebAIM conducts annual studies reviewing the accessibility of the 1,000,000 most popular websites’ homepages.1 The results for 2025 found that these pages had an average of 51 errors per page. While this represents a decrease from the previous year, there remains much work to …

Feminist Digital Center: Building An Online Hub For Undergraduate Feminist Scholarship, Julie Shayne, Tessa Denton, Denise Hattwig

Journal of Feminist Scholarship

This paper is about The Feminist Digital Center (FDC). We begin by briefly theoretically situating our project in discussions of feminist and open pedagogy, high impact practices, and digital scholarship. Next, we discuss how the FDC came to be, institutionally and digitally, with particular emphasis on the assignments students did to fill the site. We close with why the site matters. We hope readers will attempt some version of this project at your institutions and find value in the model we share.

An 11-Year (2012-2022) Review Of Journal Of Athletic Training Publication Study Designs And Sample Sizes, Zachary K. Winkelmann, Samantha E. Scarneo-Miller, Emily C. Smith, Ryan M. Argetsinger, Lindsey E. Eberman

Rehabilitation Sciences Faculty Publications

Background

Research findings must be representative by creating a sample of individuals, ensuring the results can be generalized and applicable to a larger population, which has historically been guided by a power analysis. However, the varied research design methods require a unique approach to sampling and a formula for recruitment and size. Therefore, the purpose of this study was to analyze historical data from published manuscripts in the Journal of Athletic Training (JAT) relative to study design and sample sizes. A secondary purpose was to further explore metrics for survey-based research.

Methods

This descriptive analysis explored 1267 publications in each …

A Bibliometric Analysis Of Ai-Driven Healthcare Literature Containing Kos Keywords: Trends, Themes, And Gaps, Julaine Clunis, Eric Asare

STEMPS Faculty Publications

As artificial intelligence (AI) becomes increasingly embedded in healthcare applications, concerns have emerged around the trustworthiness, interpretability, and context-awareness of these systems. Knowledge Organization Systems (KOS) hold considerable potential to address these challenges by supporting semantic standardization, explainability, and domain alignment. This study presents a bibliometric analysis of scholarly publications referencing both AI and healthcare concepts to examine how KOS are positioned within this evolving discourse. The findings indicate that while early literature frequently and explicitly referenced KOS—such as ontologies, controlled vocabularies, and classification systems—their visibility has declined relative to newer paradigms such as machine learning and large language models. …

Leveraging Transformer-Based Ocr Model With Generative Data Augmentation For Engineering Document Recognition, Wael Khallouli, Mohammad Shahab Uddin, Andres Sousa-Poza, Jiang Li, Samuel Kovacic

Engineering Management & Systems Engineering Faculty Publications

The long-standing practice of document-based engineering has resulted in the accumulation of a large number of engineering documents across various industries. Engineering documents, such as 2D drawings, continue to play a significant role in exchanging information and sharing knowledge across multiple engineering processes. However, these documents are often stored in non-digitized formats, such as paper and portable document format (PDF) files, making automation difficult. As digital engineering transforms processes in many industries, digitizing engineering documents presents a crucial challenge that requires advanced methods. This research addresses the problem of automatically extracting textual content from non-digitized legacy engineering documents. We introduced …

Claude Ai And Literature Reviews: An Experiment In Utility And Ethical Use, Max Sparkman, Alan Witt

Milne Library

Generative large-language models (LLMs) such as ChatGPT and Claude have sparked debate throughout higher education about their potential and threats to the current pedagogical models for research. This paper scans the literature on the benefits and drawbacks of using LLMs in teaching and research, and compares and contrasts two literature reviews on the subject, one written by a human author and one produced by Claude. The comparison explores areas where the generative AI excels, such as quickly summarizing points of agreement across sources, as well as its limitations, like struggling with synthesis, providing incomplete citations, and hallucinating false information. While …

Copyright And Artificial Intelligence, Part 2: Copyrightability

Copyright, Fair Use, Scholarly Communication, etc.

This report by the United States Copyright Office addresses the legal and policy issues related to artificial intelligence (AI) and copyright as outlined in the Office’s August 2023 Notice of Inquiry (NOI).

The report will be published in several parts each one addressing a different topic. This part addresses the copyrightability of works created using generative AI. The first part, published in 2024, addresses the topic of digital replicas—the use of digital technology to realistically replicate an individual’s voice or appearance. A subsequent part will turn to the training of AI models on copyrighted works, licensing considerations, and allocation of …

United States Environmental Protection Agency Scientific Integrity Policy

Copyright, Fair Use, Scholarly Communication, etc.

US EPA SIP

An Analytical Review Of Preprocessing Techniques In Bengali Natural Language Processing, Sovon Chakraborty, Protiva Das, Shakib Mahmud Dipto, Md Aktaruzzaman Pramanik, Jannatun Noor

Computer Science Faculty Publications

Research in Bengali Natural Language Processing (BNLP) is rapidly expanding. Despite being one of the most widely spoken languages in the world, BNLP research remains insufficient, particularly in Bengali speech recognition. The languages rich morphology, agglutinative structure, and diverse dialects make text and speech processing especially challenging. However, these challenges can be addressed with effective preprocessing techniques. Various organizations in Bangladesh and West Bengal are integrating Natural Language Processing (NLP) into their services, but without a thorough understanding of preprocessing, these implementations remain incomplete. Applying proper preprocessing techniques to the Bengali language will serve as a foundation for developing robust …

A Bibliographic And Topic Modeling Analysis Of The P-Adic Theory Literature Using Latent Dirichlet Allocation, Humberto Llinás, Ismael Gutiérrez, Anselmo Torresblanca, Javier De La Hoz, Brian Llinás

Computer Science Faculty Publications

P-adic analysis, introduced by Kurt Hensel in the early 20th century, has developed into a fundamental area of mathematical research with broad applications in number theory, algebraic geometry, and mathematical physics. This study aims to examine the thematic evolution and scholarly impact of p-adic research through a comprehensive topic modeling and bibliometric analysis. Using classical bibliometric techniques (e.g., performance analysis, co-authorship, and co-citation networks) combined with Latent Dirichlet Allocation (LDA), we analyzed 7388 peer-reviewed documents published between 1965 and 2024. The computational workflow was conducted using R (version 4.4.1) and VOSviewer (version 1.6.20), which enabled the identification of 20 distinct …

From Philosophy To Nlu: Evolving Definitions With Research Hypotheses, Jian Wu, Sarah Rajtmajer

Computer Science Faculty Publications

Over the past decades, alongside advancements in natural language processing, significant attention has been paid to training models to automatically extract, understand, test, and generate hypotheses in open and scientific domains. However, interpretations of the term hypothesis for various natural language understanding (NLU) tasks have migrated from traditional definitions in the natural, social, and formal sciences. Even within NLU, we observe differences defining hypotheses across literature. In this paper, we overview and delineate various definitions of hypothesis. Especially, we discern the nuances of definitions across recently published NLU tasks. We highlight the importance of well-structured and well-defined hypotheses, particularly as …

Can Llms Beat Humans On Discerning Human-Written And Llm-Generated Science News, Dominik Soós, Meng Jiang, Jian Wu

Computer Science Faculty Publications

Science news is increasingly important in connecting scientists and the public by sharing discoveries and innovations. With the rise of large language models (LLMs), there is potential to automate science news creation, but concerns exist about the quality of LLM-generated news versus human-written news. This paper explores whether LLMs can outperform humans in distinguishing between human-written and LLM-generated news. Inspired by the Chain-of-Thought prompting method, we designed a simple yet effective variant called Guided Few-shot (GFS), which encodes the characteristics of news of two types with examples. Our experiments indicated that GFS with just a single example effectively boosted the …

From Philosophy To Nlu: Evolving Definitions Of Research Hypotheses, Jian Wu, Sarah Rajtmajer

Computer Science Faculty Publications

Over the past decades, alongside advancements in natural language processing, significant attention has been paid to training models to automatically extract, understand, test, and generate hypotheses in open and scientific domains. However, interpretations of the term hypothesis for various natural language understanding (NLU) tasks have migrated from traditional definitions in the natural, social, and formal sciences. Even within NLU, we observe differences defining hypotheses across literature. In this paper, we overview and delineate various definitions of hypothesis. Especially, we discern the nuances of definitions across recently published NLU tasks. We highlight the importance of well-structured and well-defined hypotheses, particularly as …

Complete Issue: Vol. 12, No. 2, Stacy L. Creel, Ph.D.

SLIS Connecting

No abstract provided.

Selection Of Spring And Fall 2024 Master’S Project Posters, Stacy L. Creel, Ph.D.

SLIS Connecting

Students are required to create academic research posters on their capstone research project and present them in class. The following selection of the Master’s Project Capstone Posters are from LIS 695 in the Spring 2024 and Fall 2024.

Interview With Cyndee Landrum: Usm Slis Graduate And Acting Director Imls, Gabriel Morley, E.D.

SLIS Connecting

Cyndee Landrum, a 2006 graduate of the School of Library and Information Science (SLIS) at The University of Southern Mississippi was named acting director of the Institute for Museum and Library Services (IMLS), an independent federal agency charged with supporting and empowering the country’s libraries. Dr. Morley interviewed her history and her perception of the future.