Digital Commons Network^™

Selective Attention With Lyrical Music Vs. No Music, Scovs Majors, Rachel Falleur, Kim Niang, Olivia Pokrifcsak

Science University Research Symposium (SURS)

Selective attention refers to the brain’s ability to focus on relevant information while filtering out distractions. Research suggests that language cues and semantic context can shape how attention is directed, indicating that cognitive control is context-dependent (Reisman, 1964). Environmental factors such as background noise can also disrupt attention, leading to reduced accuracy on cognitive tasks (Pearson & Lane, 1984). In the present study, we examined music as both a linguistic and environmental variable influencing selective attention. Previous findings indicate that lyrical music can serve as a significant distractor, impairing attentional performance in both music and non-music majors (Darrow et al., …

Kairiomone Moderated Anti-Predator Responses In Pleurocera Laqueta, Daisy V. Mcleod, John Webb, Amanda Waggoner, John Niedzwiecki

Science University Research Symposium (SURS)

Predator-prey coevolution in freshwater ecosystems often involves chemical communication, where the prey detect predator released compounds known as kairomones. These chemical cues allow prey to alter behavior to reduce risk of predation. In Middle Tennessee streams, the native snail Pleurocera laqueata commonly coexists with predator crayfish, and previous studies have shown that exposure to crayfish kairomones can induce an anti-predator “crawl out” response. This response is commonly demonstrated through snails climbing above the waterline to avoid crayfish predators below. We hypothesized that Pleurocera laqueata would display a similar anti-predator response when exposed to both native and non-native crayfish cues. After …

Physiological Response To Concealed Information In A Mock-Crime Paradigm​, Ezra Koenigsberg, Tamya Mchenry, Jasmine Manzana, Taylor Powell, Samantha Jackson

Science University Research Symposium (SURS)

The Concealed Information Test (CIT), based on Lykken’s guilty knowledge framework, measures physiological responses when individuals recognize crime-related details compared to neutral alternatives. Previous studies show that variations in stimulus presentation enhance the CIT’s accuracy, especially through changes in electrodermal activity and heart rate. However, few studies have tested whether a Qualtrics-based mock-crime version of the CIT can replicate these physiological patterns. This study addresses that gap by adapting the CIT for a digital research environment. The goal is to determine whether participants show greater physiological arousal—measured through skin conductance, heart rate, and respiration—when exposed to crime-related “critical” stimuli compared …

Educational Policy, Implementation, And Challenges: A Case Study Of Administrative Practice In Using Student Growth Measures For Instructional Improvement In A K-12 School District In Northern New Jersey, Dean Robinson

Theses and Dissertations

This qualitative single holistic case study explores how school administrators in a Northern New Jersey district implement student growth measures (SGMs) mandated by the New Jersey Department of Education. Grounded in Lipsky’s (1980) theory of street-level bureaucracy, Wright’s Connected Actions Roadmap (2022), and Argyris and Schön’s (1978) theory of action, this work examines how administrators in the case study navigate policy mandates while addressing the demands of leading their schools. Data was collected through two rounds of semi-structured interviews with eleven administrators, supplemented by field notes. Thematic analysis revealed five areas: administrative agency in balancing compliance and authenticity, collaboration as …

Saussure’S Universal Distinctive Feature Dimensions, Thomas M. Eccardt

Publications and Research

This paper revisits Saussure’s scalar analysis of phonemes, offering a modern reinterpretation that replaces binary features with phonological dimensions grounded in measurement theory. By redefining Saussure’s [openness] and [backness] as ordered scales and Chomsky and Halle’s “combination and concatenation” as partially ordered scales, the paper introduces a notion of “[phono]logical simultaneity.” This framework renders the variously-defined phoneme and segment redundant, and shifts the focus of distinctiveness to the linguistic sign, the morpheme. It demonstrates how phonological dimensions link continuous articulations and acoustic signals (e.g., F1 and F2) with discrete linguistic signs through calibrated distinctive features. The analysis identifies Saussure’s two …

Career Interest And Work Values Of Online Filipino Psychology Graduates: Basis For Retention Program, Henmar C. Cardiño, Erwin B. Sario, Rommel P. Sergio

Social Sciences and Development Review

The main objective of the study is to evaluate the significant association between career interests and workplace values among Filipino online psychology graduates in 2022 and to provide retention strategies for diverse organizations. The study’s goal was to identify the gap between the participants’ career interests and their work values and offer possible retention programs to bridge the gap. The researcher employed a quantitative correlational research design and utilized two research instruments, the RIASEC Test by John L. Holland and the Work Values Inventory by Ronald E. Super, to measure career interest and work values, respectively. In August 2022, a …

2025 - The Sixth Annual Fall Symposium Of Student Scholars

Symposium of Student Scholars Program Books

The full program book from the Fall 2025 Symposium of Student Scholars, held in November 2025. Includes abstracts from the presentations and posters.

Harnessing Hyperspectral Imaging And Deep Learning For Terrestrial Habitat Mapping In Arid Landscapes: A Case Study In Saudi Arabia, Ali Elgendy, Hesham Morgan, Brandon Tran, Rejoice Thomas, Tamer Ismail, Yehya Kh. Shehadeh, Ahmed Elgharib, Ahmed Abdullah Al-Dughairi, Ali El Muburak, Khaled Allam Harhash, Hesham El-Askary

Mathematics, Physics, and Computer Science Faculty Articles and Research

Arid ecosystems remain under-mapped at actionable scales despite their ecological importance. Decision makers lack reliable, high-resolution habitat maps in drylands to prioritize protection and target restoration. This research integrates spaceborne hyperspectral imaging from the Environmental Mapping and Analysis Program (EnMAP) with deep learning semantic segmentation models to produce an updated level of habitat classification based on the International Union for Conservation of Nature (IUCN) for part of the Imam Turki bin Abdullah Royal Reserve, Saudi Arabia. Using ground control points and the full EnMAP spectral cube without band selection, U-Net and DeepLabV3+ architectures were each implemented with VGG19 and ResNet-101 …

Mobility Disrupted: Geospatial Analysis Of Accessibility On The Mbta’S Orange And Red Lines Using Generalized Linear Poisson Regression, Maura Forde

Geography and the Environment: Graduate Student Capstones

This research analyzes the spatiotemporal relationship between explanatory variables and the frequency of downed elevator/escalator alerts at train stations on the Massachusetts Bay Transportation Authority’s (MBTA) Orange and Red lines. The data is from 2023. The null hypothesis is that there is no spatiotemporal pattern to the frequency/distribution of alerts. Generalized Linear Poisson Regression is used to model relationships across four time periods – the entire 2023 calendar year, Spring (January-April), Summer (May-August), and Fall (September-December). Results indicate that the null hypothesis can be rejected for all variables in Summer and Fall models but cannot be rejected for all variables …

From Red To Green: Using Gis To Examine Colorado’S Inequitable Housing Patterns In Urban Greenspace Accessibility, Jessica Howard Karr

Geography and the Environment: Graduate Student Capstones

Urban greenspaces provide numerous benefits to the mental and physical health of nearby people who access these locations for physical recreation, social interaction, and contemplation. Discriminatory urban planning policies from the past, such as redlining, have ensured that greenspace access is not always equitable for communities with diverse racial and socioeconomic compositions. This project utilizes Geographic Information Systems (GIS) to determine relationships between tree cover canopy, greenspace percentage within a census tract, and greenspace accessibility within a graded census tract system based on demographics and historic redlining locations in the Colorado cities of Denver, Colorado Springs, and Pueblo. The results …

Box Elder County Tourism Adventure Passport: Pilot Program Geospatial Analysis, Evaluation, And Next Steps., Janessa Knotts

Geography and the Environment: Graduate Student Capstones

The Box Elder County Tourism Office created the Tourism Adventure Passport Program and launched a pilot program in July 2025. GIS was used to engage and encourage visitors and locals to visit some or all sites listed and submit information, including GPS points, to participate in the program. To promote tourism in Box Elder County, the program highlights well known sites like the Golden Spike National Historic Park, along with other, less-known sites. The pilot program data was used to create a geospatial analysis and an analysis of the number of visits each site received and number of visitors were …

Exploring Private And Governmental Interest In Bitcoin, Mina Khadem

Undergraduate Theses, Capstones, and Recitals

Regardless of one’s opinion, Bitcoin’s presence in the global economy is growing. However, Bitcoin’s emerging role and its implications are greatly under-researched, particularly in the context of government interest in Bitcoin. Nonetheless, increased private investment in Bitcoin and increased government interest in formally incorporating Bitcoin into existing economic systems, suggest a new development within the global economy that must be investigated. Through qualitative text analysis of pro-Bitcoin narratives presented in digital media platforms and official government policies and public statements, this thesis explores how private and government interest in Bitcoin is explained and framed within these contexts. This study finds …

Doughnut Economics And Strong Sustainability: Rethinking The Role Of Financial Investment, Isabelle Pierotti

Electronic Theses and Dissertations

This thesis investigates how private investment could align doughnut economic framework. Doughnut economics is a strong sustainability economic framework where the economy operates within planetary boundaries while ensuring social equity. Theories of sustainable development, weak sustainability, and strong sustainability are discussed to provide theoretical context for doughnut economics and mainstream economics. The analysis concludes that conventional, profit maximizing private investment does not support a doughnut economics system by supporting the depletion of natural resources and exacerbating social issues. Sustainable mainstream investment also fails to support a doughnut framework. Lastly, while impact investment is theoretically committed to social and financial returns, …

Capacity, Allocation And Update Dynamics Of Human Memory Systems, Shaoying Wang

Electronic Theses and Dissertations

Information is encoded and stored in three types of memory: sensory memory (SM), short-term memory (STM), and long-term memory (LTM). SM has a large capacity but retains information for only a brief period. When information transfers to STM, only a limited amount can be stored. Information in STM can then be transferred to LTM, which has a much larger capacity and longer retention time. STM is often conceptualized as working memory (WM) to highlight its role in active information processing. Due to the limited capacity of STM, it is commonly believed that STM serves as the bottleneck for information processing. …

Archaeological Predictive Meta-Modeling In Pre-Columbian Mexico, Peter Stamm

Electronic Theses and Dissertations

Archaeological Predictive Modeling stands firmly as an important tool for Archaeologists to predict undiscovered sites from civilizations all across the globe. While powerful, this methodology is not without its own set of qualms. Striking a balance between pure a data-driven approach while also observing leading expert theories can be a complicated task. Going further, deciding on the specific domain of features to emphasize or overlook can be a challenge within itself, as one misstep can drastically change the output of model, sometimes for the worst. In addition, creating models that can expose their reasoning process can be rather difficult to …

Safety, Security, And… Beavers? An Engineer's Low-Tech Climate Strategy, Matt Mullins

University College: Environmental Policy and Management Capstones

Colorado’s headwaters are the source of drinking water to millions and are a key pillar of the state’s tourism industry. Consequently, they are some of the most vulnerable areas to natural disasters including wildfires, droughts and flooding. Climate change will increase the severity and frequency of these natural disasters. This project focuses on some of the most vulnerable areas from an economic and climate change perspective of Colorado’s headwaters including the Big Thompson River, and the Colorado River. These headwaters located in and around Estes Park, Grand Lake and Rocky Mountain National Park are currently severely impaired. Low-tech process-based restoration …

Measuring Human Ability To Detect Emotional Energies In Transpersonal Fields Of Consciousness, Carol Richardson Phd, Mdiv, Mph

Journal of Conscious Evolution

This research presents original data from an online research survey with 111 respondents regarding their ability to detect emotional energies in transpersonal fields of consciousness in crowds and dyads. The data show that a majority of respondents, from 90% to 96.4%, reported experiencing different emotions “in the air,” such as excitement, tension, anxiety, anger, and love. Personal data responses include age, gender or gender identity, and worldview. Examples of possible worldviews include: “scientific, not religious, not spiritual”; “spiritual and scientific”; “religious”; and “religious and scientific.” Respondents were given two free-answer essay options: one in which they could describe their personal …

Humor As A Predictor Of Life Satisfaction And Burnout Among Firefighters, Kayla Marie Kovach

Walden Dissertations and Doctoral Studies

Notwithstanding knowledge of the high stress levels experienced by firefighters, little is known about their coping strategies as compared with the general population. To address this gap, the differences in humor styles between firefighters and nonfirefighters in the prediction of life satisfaction and burnout were assessed. The study was grounded in the PERMA theory of well-being and the job demands-resources theory. A cross-sectional, correlational survey research design was used to assess if there are differences between firefighters and nonfirefighters in the types of humor (i.e., self-enhancing, affiliative, aggressive, and self-defeating) used and in the prediction of burnout and life satisfaction …

Designing And Writing Effective Data Management Plans For Grant Proposals, Rubab Shahzad, Ibis Anette Moreno-Lozano

Day Family Research Lab Workshop Series

Fundamentals of research data management and how to create effective Data Management Plans (DMPs).

Geographic Sorting Of Landslide Presidential Counties: The American South In Regional Context, John Morris, Binita Mahato, Joe Aistrup

Journal of Political Science

This paper examines the issue of partisan polarization in U.S. county-level presidential voting. Although the extant literature that addresses partisan sorting and/or polarization is extensive and growing, the literature is not without controversies. Our paper investigates the sequence and timing of shifts in partisan vote shares at the county level from 1932 through 2020, with a focused review of the dynamics of partisan shifts in southern states. While some scholars of southern politics conclude that the South generally follows national trends, other scholars suggest the opposite—that the nation follows the South. Our paper identifies trends in partisan competition in the …

Preparing For The Artificial Intelligence (Ai) Economy In The Mountain West, 2025, Kian Parikh, Taylor Volk, Maisoon Faris, Kristian Thymianos, William E. Brown Jr.

Economic Development & Workforce

This fact sheet presents data from the Brainly report, “Here Are the States Most (and Least) Prepared to Win the AI Race in 2025” for the five Mountain West states of Arizona, Colorado, New Mexico, Nevada, and Utah. This fact sheet highlights the national and individual rankings of four key metrics for each Mountain West state: the fixed percentage of businesses using artificial intelligence (AI); the number of AI jobs per 1,000 workers; the number of AI-related degrees per 10,000 people ages 20-24; and federal funding for small business technology innovation per $1 million of gross domestic product (GDP).

When Cpu Is Worse Than A Stick In The Eye: Better Kpis For Strategic Journal Collection Management, Evan Rusch, Heidi J. Southworth, Nat Gustafson-Sundell

Library Services Publications

A video of this presentation is available as an Additional File and also available at https://link.mnsu.edu/kpis-video. 

Libraries frequently rely on variously calculated cost-per-usage (CPU) metrics, but there are other key performance indicators (KPIs) often more strategic for journal collection assessment. These other KPIs can also be more effective for communicating the value of journals. While CPU, in a variety of forms, will probably always be important for evidence-based decision-making, CPU can sometimes obfuscate the real value provided by journal packages and individual journals. We will discuss how CPU can lead to false impressions, especially at the package level. We’ll …

11.17.2025 Ored Connect, Liz Williamson

ORED Newsletter

• Qualtrics training sessions
• Alcorn State University, Dr. Edmund Buckner

Practicing With Avatars: Exploring Mixed Reality Simulation To Develop Msjccs, Amy L. Cook, Lillian Day, Kristin M. Murphy, Taylor Healy, Julia Kausel, Lindsay M. Fallon, Christopher B. Denning

Journal of Counselor Preparation and Supervision

This study used qualitative content analysis (QCA) to explore perceptions of engaging in Mixed Reality Simulation (MRS) with avatars on the development of Multicultural and Social Justice Counseling Competencies (MSJCCs) for school counselors in training. Results suggested that MRS contributed to improving participants’ confidence in MSJCCs, and they would have valued additional practice with MRS to address implicit bias with clients. Results indicate the need for additional MRS research to advance the development of MSJCCs in school counselor training.

Novice Teacher Voice Of Preservice Preparation To Support Low-Ses Students, Edna Richardson Richardson Billingsley

Walden Dissertations and Doctoral Studies

The problem that was addressed through this study was that there is a gap in the literature about the preparation of mid to lower elementary novice teachers to teach students with low-socioeconomic status (low-SES) in several districts throughout the Southern United States. Grounded in social justice theory, the purpose of the basic qualitative design was to explore lower to middle elementary teachers' perceptions on their preservice preparation to teach low-SES students. For this basic qualitative design, 12 novice teachers participated in semistructured interviews. Data were analyzed through thematic analysis with the following three top themes emerging: (a) poor preparation towards …

Accuracy Matters: Evaluating The Value Of Ai Tools For Summaries In Metadata, Emily Baldoni, Angela Yon

Faculty and Staff Publications – Milner Library

Since the introduction of ChatGPT in 2022, the potential impact of Artificial Intelligence on library workflows has been a topic of immense interest—and sometimes anxiety—in the library profession. In the area of cataloging and metadata, one frequently cited potential use for AI (particularly Large Language Models (LLMs)) is constructing summaries and abstracts of information resources. However, very little systematic assessment has been done of the characteristics, quality, and utility of AI-generated abstracts for library materials, leaving information professionals with little evidence on which to make data-driven decisions as to how, if at all, to implement AI-assisted workflows for this aspect …

2025 Unm Library Scholarship Day Collcted Abstracts, Unm Health Sciences Library & Informatics Center, Unm Law Library, Unm University Libraries

Scholarship Day 2025

This booklet compiles citations and summaries of recent scholarly works (and works in progress) authored by librarians from all three campus libraries. UNM authors’ names are bolded. It offers readers a snapshot of the ideas, innovations, and collaborations shaping the information science discipline today. Consider it an invitation to connect with colleagues whose work reflects the intellectual vibrancy of UNM’s libraries.

Artificial Intelligence (Ai) And The Anthropic Economic Index In The Mountain West, 2025, Cason Noll, Olivia K. Cheche, William E. Brown Jr.

Economic Development & Workforce

This fact sheet presents 2025 data on the state of artificial intelligence (AI) adoption among the five Mountain West states of Arizona, Colorado, Nevada, New Mexico, and Utah. The data are sourced from the “Anthropic Economic Index,” which provides data on Claude.ai (an AI large language model) and its adoption across all 50 U.S. states and Washington, D.C. This fact sheet focuses on Claude.ai usage, the most common topic Claude.ai has been used for, and augmentation and automation shares for each Mountain West state.

Transforming Public Services For Stem Students And Faculty, Tessa Withorn, Robert Detmering

Faculty and Staff Scholarship

Despite institutional priorities to expand STEM education and research activity, some academic libraries struggle to engage faculty and students in these disciplines with library resources and services. This column shares and reflects on how strategic liaison librarianship can address the needs of STEM programs at a large, public university. Implementing new services around research impact and data management and building fruitful connections with STEM researchers has reinvigorated and increased engagement with the library. In the future, a team-based liaison model shows promise for sustaining relationships and forging new paths that communicate the value and impact of the library.

Data Cleaning With Excel, Rubab Shahzad

Day Family Research Lab Workshop Series

This workshop will delve into the importance of cleaning research data and why clean data is an important part of the larger research data lifecycle. This session will also provide an overview of data cleaning and preprocessing using Microsoft Excel including a hands-on demonstration.

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