Digital Commons Network^™

The Evolution Of Agriculture Marketing: Harnessing Data Analytics To Understand Generational Shifts And Influencer Trends, Lexi Schweigert

Theses

The findings reveal that data analytics plays a crucial role in shaping marketing strategies in agriculture. Generational shifts, particularly among Gen Z and Alpha, are driving changes in consumer preferences and expectations. Influencers are also playing an increasingly important role in shaping the perception of agriculture and food among these generations.

Customizing Ai Strategies Across Multiple Generations, Matthew Harrer

Theses

This project investigates how artificial intelligence can help brands and marketers connect more effectively with Generation X, Millennials, and Generation Z. The literature review lays the groundwork that focuses on consumer behaviors and the integration of AI into digital marketing practices for each generation. The second part of the project involves a secondary data analysis of 21 recent marketing surveys and reports that explores topics related to trust, personalization, and social media. By integrating the findings into an insightful guidebook, marketers will be able to maximize these insights into clear actionable strategies.

Elisabetta Sirani’S Timoclea: Baroque Agency And The Aesthetics Of Feminine Rage, Shaylen Grace Gardner

Theses

This thesis examines Timoclea Kills the Captain of Alexander the Great (1659) by Elisabetta Sirani as a foundational example of feminine rage within the Baroque period. By framing Timoclea’s violent act not as an outlier or solely reactive gesture, but as a deliberate, composed assertion of power, Sirani constructs a model of feminine agency that defies patriarchal expectations of female submission and passivity. Through interdisciplinary analysis grounded in feminist theory, formal visual analysis, and retrospective cultural studies, this research argues that Sirani’s Timoclea exemplifies the Baroque’s strategic use of socially acceptable iconography to veil explicit challenges to gendered expectations. This …

Supporting On Their Own Terms: Eu Institutions’ Discourses On Mindanao, Vincent Carlo A. Legara

European Studies Department Faculty Publications

This paper critically examines the nature and dynamics of European Union (EU) engagement in Mindanao. The southern Philippines is historically home to Muslims, with a special region that is the Bangsamoro Autonomous Region of Muslim Mindanao (BARMM), formerly known as the Autonomous Region in Muslim Mindanao, where Muslims compose the majority of the population. Muslim Mindanao gained greater autonomy in 2019 after decades of violent conflict and the persistence of weak democratic institutions. Since the 1970s, Muslim secessionist movements have clashed against government troops for independence. These have contributed to poor human development indicators in Mindanao. The EU, previously the …

Students Earn Nsf Fellowships And Honorable Mentions, Jordan Karnbach

University of Mississippi News

OXFORD, Miss. – The National Science Foundation has recognized three University of Mississippi students for their research in engineering and chemistry through the 2025 NSF Graduate Research Fellowship Program.

Feedback Frequency And Skill Learning In College Athletes: "A Multivariate Analysis", Andrew Gannon

Doctorate in Kinesiology

This study aims to look at feedback frequency with college athletes through augmented feedback with a novel sports skill. While there is research on feedback frequency, much of that research has been conducted using children and general population college students as participants; there is very limited research on athletes as participants. Athletes possess a unique characteristic as they are typically advanced in motor skills and routinely receive feedback in the practice of their sport. Participants in the study were NCAA Division II college athletes (N=82) from one of nine sports. Using a modified golf putt, participants tried to land a …

Using The Observational Medical Outcomes Partnership Common Data Model For A Multi-Registry Intensive Care Unit Benchmarking Federated Analysis: Lessons Learned, Aasiyah Rashan, Daniel P Püttmann, Nicolette F De Keizer, Dave A Dongelmans, Ronald Cornet, Otavio Ranzani, Wangari Siika, Matthew Smith, Steve Harris, Abi Beane

Anaesthesiology, East Africa

Objective: Federated analysis is a method that allows data analysis to be performed on similar datasets without exchanging any data, thus facilitating international research collaboration while adhering to strict privacy laws. This study aimed to evaluate the feasibility of using federated analysis to benchmark mortality in 2 critical care quality registry databases converted to the Observational Medical Outcomes Partnership (OMOP) Common Data Model (CDM), describing challenges to and recommendations for performing federated analysis on data transformed to OMOP CDM.

Materials and Methods: To identify as many challenges as possible and to be able to complete the benchmarking phase, …

Serving Others Using Generative Ai, Kenneth C. Arnold

University Faculty Publications and Creative Works

Ken Arnold, computer science professor at Calvin University, explores the idea of use Generative AI as a tool to help us serve others.

Artificial Insights Or Historical Fidelity? Crafting An Ethical Framework For The Use Of Genai In The Restoration, Reconstruction And Recreation Of Movable Cultural Heritage, David Ocón, Chunzhi Yin, Jose Luna

Research Collection School of Social Sciences

This article explores the ethical considerations surrounding using Generative Artificial Intelligence (GenAI) in preserving movable cultural heritage, focusing specifically on its application in restoration, reconstruction, and recreation. While GenAI offers innovative methods for preserving and recreating cultural heritage, it also presents significant ethical challenges. The article reviews current studies on the role of GenAI in heritage preservation alongside relevant ethical guidelines and proposes a tailored ethical framework for its application in movable heritage. The framework addresses several critical ethical concerns, including cultural integrity and sensitivity, accuracy and authenticity, intellectual property rights, sustainability and social impact, and governance and ethical accountability. …

Editorial: The Role Of Diagnostics In Eliminating Schistosomiasis As A Public Health Problem: Trend And Need, James Mwansa, Moses J. Chimbari, Nilanjan Lodh

Clinical Lab Sciences Faculty Research and Publications

No abstract provided.

The Ethics Of Consent: Reflecting On The Case Of R/Changemyview, Casey Fiesler, Jessica Vitak, Michael Zimmer

Computer Science Faculty Research and Publications

The SIGCHI Research Ethics Committee was established in 2016 in recognition of how the shifting technological landscape has complicated research ethics in HCI. Our research community has also taken up the call to help understand and guide this complex space, examining topics such as research taking place on online platforms without explicit consent, the use of bots as confederates in field experiments, debriefing for large-scale experiments, HCI research that involves or implicates marginalized populations, and ethical considerations for studying social media platforms such as Reddit.

Non-Traditional Socio-Environmental And Geospatial Determinants Of Alzheimer's Disease-Related Dementia Mortality, Skanda Moorthy, Jean-Eudes Dazard, Zhuo Chen, Shruthika Palanivel, Salil Deo, Sanjay Rajagopalan

Student Scholarship

Importance: Recent data point to the impact of non-traditional environmental and social factors on Alzheimer's Disease-Related Dementias (ADRD) mortality. Our study aimed to determine the extent to which antecedent air pollution, social vulnerability, and geospatial features in the environment associate with ADRD mortality. Design: This was a cross-sectional study conducted across the mainland United States. County level Social Vulnerability Index (SVI), particulate matter air pollution (PM2.5) were linked to ADRD mortality. Patient Rule Induction Method (PRIM) was used for delineating and characterizing “bumps” or spikes in mortality. SHapley Additive exPlanations (SHAP) values were used to rank variables by predictivity and …

Predicting Emotions Across Schizotypy Levels, Elyssa M. Barrick, Sarah Hope Lincoln

Student Scholarship

Successfully navigating the social world requires making accurate predictions about others. Individual differences in emotion prediction–the ability to predict someone's subsequent emotion given their current emotional state–can lead to variability in social success. In this study (N = 1024) we found evidence that individuals with heightened schizotypy displayed worse emotion prediction accuracy. This difficulty with emotion prediction was associated with increased loneliness, diminished social support, and smaller social networks, partially mediating some of the social difficulties in individuals with heightened schizotypy. Individuals with heightened schizotypy showed disruptions to key sources of affective information, meaning they had less reliable information about …

Designing A Portable And Accessible Diffuse Reflectance Spectroscopy System For Real-Time Detection Of Cervical Intraepithelial Neoplasia, Allison Scarbrough, Diana Moses, Tongtong Lu, Bing Yu

Biomedical Engineering Faculty Research and Publications

Significance: Over 80% of cervical cancer cases occur in lower-to-middle income countries (LMIC’s). This is partly because current screening techniques lack affordability, accessibility, and/or reliability for use in LMIC’s.

Aim: To develop an optical technique for cervical cancer screening that is affordable, accessible, and reliable for use in LMIC’s.

Approach: We developed a portable diffuse reflectance spectroscopy (DRS) system, which costs < $2500 USD to manufacture, and employs a Raspberry Pi to extract the absorption (μ_a) and reduced scattering (μ'_s) coefficients of biological tissue. The system was subject to travel and intentional rough handling. It was further used to capture 320 DRS spectra taken from 64 tissue-mimicking phantoms. Two …

Declaration In Support Of Petition

Catholic Dioceses in Bankruptcy

No abstract provided.

Language Brokering Conditions The Indirect Association Between Mexican‐Origin Adolescents' Academic Discrimination And Educational Expectations, Su Yeong Kim, Yayu Du, Chantal Alvarado, Wei Xiang Sim, Wen Wen, Tianlu Zhang, Jingyi Shen

Research Collection School of Social Sciences

Mexican-origin adolescents, a significant portion of the US Latino population, often experience a decline in educational expectations from early to late adolescence. Contextual factors such as academic discrimination and language brokering for parents may contribute to this decline. This study investigates the indirect effect of academic discrimination experienced in middle school on educational expectations in young adulthood through high school grades and engagement, and the moderating role of language brokering experiences in these relations. Data were collected from 604 Mexican-origin adolescents across four waves from 2012 to 2023. Academic discrimination experiences in middle school were negatively associated with school grades …

Analysis Of Vision Transformers And Domain Adaptation In Long-Range Facial Recognition, Zachary Michael Swanson

Department of Electrical and Computer Engineering: Dissertations, Theses, and Student Research

Atmospheric turbulence presents a significant barrier to long-range facial recognition, introducing severe geometric distortions and blur that degrade image quality. This thesis investigates deep learning approaches for mitigating these effects, with a focus on transformer based architectures and domain adaptation strategies.

An in-depth benchmarking study was performed using convolutional neural networks (CNNs) and vision transformers (ViTs) on the Husker BRIAR Research Collection from up to 500m (HBRC-500) face dataset. The results demonstrated that vision transformers, particularly hierarchical vision transformers like the shifted-window (Swin) transformer, outperform CNN-based models at long distances due to their ability to model global spatial relationships and …

Biocomputing Approach To Modeling And Modulating Calcium Signaling, Sehee Sun

School of Computing: Dissertations, Theses, and Student Research

Biocomputing is an emerging field that seeks to perform computational tasks using biological substrates and processes. Unlike conventional computing systems based on silicon hardware, biocomputing leverages the parallelism, energy efficiency, and complex dynamics of living systems. Among various cellular mechanisms, calcium (Ca2+) signaling stands out as a central regulator of diverse biological functions, offering a promising basis for programmable logic and control in living cells.

This thesis introduces a novel framework for modeling and modulating Ca2+ dynamics using biologically inspired Boolean logic circuits. Specifically, we propose the Ca2+ Boolean Logic (CaBL) model, in which Ca2+ fluxes and interactions are abstracted …

Beyond Chatbots: The Emergence Of Autonomous Ai Agents In Libraries, Nikesh Narayanan

All Works

This chapter explores how generative AI and agentic AI are redefining library services through enhanced interactivity, personalization, and scalability of support. The rise of machine learning, and specifically natural language processing (NLP) with large language models, brought a new wave of capabilities to library chatbots. Moving beyond single-turn question-answering chatbots, the concept of autonomous AI agents (or agentic AI) in libraries represents a significant leap in capability. An autonomous agent is an advanced form of AI that can understand and respond to inquiries, then take action without human intervention. When they are given an objective, they can generate tasks for …

Bridging Knowledge Gaps In Digital Forensics Using Unsupervised Explainable Ai, Zainab Khalid, Farkhund Iqbal, Mohd Saqib

All Works

Artificial Intelligence (AI) has found multi-faceted applications in critical sectors including Digital Forensics (DF) which also require eXplainability (XAI) as a non-negotiable for its applicability, such as admissibility of expert evidence in the court of law. The state-of-the-art XAI workflows focus more on utilizing XAI tools for supervised learning. This is in contrast to the fact that unsupervised learning may be practically more relevant in DF and other sectors that largely produce complex and unlabeled data continuously, in considerable volumes. This research study explores the challenges and utility of unsupervised learning-based XAI for DF's complex datasets. A memory forensics-based case …

Celebrity Politics: Construction And Validation Of A Scale To Measure The Political Influence Of Celebrities, Azmat Rasul, Donghee Shin

All Works

This study develops and validates the Political Influence of Celebrities Scale (PICS), designed to assess how entertainment celebrities influence young adults’ political attitudes and behaviors. Drawing on survey data collected from 498 university students in the United States, we applied exploratory and confirmatory factor analysis to test the scale’s structure and psychometric validity. The results support a three-factor model consisting of general attitudes toward celebrities, enjoyment of celebrity-centered political content, and behavioral outcomes such as political discussion and participation. Each subscale demonstrated strong internal reliability (Cronbach’s α ≥ .79). The PICS provides a theoretically grounded and empirically supported measure to …

Factors Influencing Digital Technology Adoption And Use Among Msmes In Indonesia, Andry Manodotua Panjaitan, Niko Sudibjo, Cahya Pulupi Meilani

DLSU Business & Economics Review

The purpose of this study is to see how attitudes toward behavior, subjective norms, and digital technology literacy affect adoption intentions and their impact on digital technology usage behavior in small and medium enterprises in Indonesia. This study used 532 MSME samples and tested them using SEM PLS analysis. The test findings showed that eight proposed hypotheses were accepted, and one was rejected. Digitally literate MSME owners and leaders can increase market awareness and set clear digital transformation goals for their companies. Furthermore, with government support for technology in MSMEs, digital technology is expected to be used not just for …

Network Segmentation Security With The Implementation Of Threats, Ryan Bredesen, Stephen Mujeye

Faculty Publications – Technology

Network segmentation is an important cybersecurity strategy that aims to reduce an attacker's ability to move laterally and increase security within a network. This study evaluated the effectiveness of network segmentation by simulating attacks on two networks using Infection Monkey. The objective of this study was to examine the impact of network segmentation on the detection and spread of threats across several virtual machines. Two network environments were created, the first unsegmented network (Network A) and a segmented network (Network B). Multiple simulated attacks were conducted on both networks. The attacks confirmed that the segmented network achieved better protection because …

Addressing Iot Vulnerabilities In Smart Homes, Erik Peterson, Stephen Mujeye

Faculty Publications – Technology

The integration of Internet of Things (IoT) devices in smart homes has surged in recent years, accompanied by significant security vulnerabilities. The proliferation of IoT devices in smart homes has significantly enhanced convenience but also introduced substantial cybersecurity risks. This study investigated the susceptibility of Internet of Things (IoT) devices in students' homes to cyberattacks, emphasizing the need for heightened consumer awareness regarding security vulnerabilities. A systematic literature review was conducted to identify common attack methods and trends in IoT cybersecurity, informing the development of a comprehensive survey administered to 34 student respondents. The results indicate a notable awareness of …

A Critical Analysis Of Sme Cybersecurity Policies And Practices, Alex Clark, Stephen Mujeye

Faculty Publications – Technology

This study examines the cybersecurity policies, practices, and preparedness of small and medium-sized enterprises (SMEs) in Central Illinois, focusing on how they align with established standards. Through a detailed literature review and a survey, the research identifies common cyber threats faced by SMEs and evaluates their current cybersecurity measures. Key findings reveal that many SMEs, despite being vulnerable due to their integration of Industry 4.0 technologies, lack comprehensive incident detection and response systems. The study underscores the necessity for improved cybersecurity awareness among all levels of SME staff, including CEOs, managers, and employees. Recommendations are proposed to enhance collective cybersecurity …

Pharmacy Matters July/August 2025, University Of Mississippi Of School Of Pharmacy

Pharmacy Matters Newsletters

Featured stories: Pharmacy Faculty Presented with Awards at Annual Retreat, Pharmacy Professor's Startup Company Places Second in Local Competition, Pharmacy School Expands Global Reach Through Faculty Exchange in Japan, UM Pharmacy Leads the Way at State Convention, Faculty Make National Impact at AACP Annual Meeting, Colby Selected for AACP Leadership Cohort, Faculty, Researchers Receive Promotions, Tenure, ElSohly Endowment Supports Students

Engage & Empower: Foundations Of Social Work Practice, Elhanan Marvit

Open Touro Created

2025

Engage & Empower: Foundations of Social Work Practice is an open educational resource for social work students in “foundations of social work practice” courses. It begins by explaining Open Educational Resources and their benefits. Students then explore social work fundamentals, including the diverse roles of social workers.

With this foundation, students engage with the NASW Code of Ethics’ key terms, and principles. This ethical grounding prepares them for the “growth work” needed to develop cultural competence and cross-cultural awareness. They then learn to apply various Generalist Practice skills across different-sized systems to empower client populations.

Next, the book explores …

An Agricultural Needs Assessment In The Tri-County Area Of Utah, Cheyenne Reid, Lendel K. Narine, Brooke Holgate

Outcomes and Impact Quarterly

An agricultural needs assessment was conducted in the Tri-County area, i.e., Uintah, Daggett, and Duchesne counties, to inform extension programming. Results showed that profitability, business development, and land use were high-priority needs. Gaps in producers’ access to information were found, highlighting the need for targeted education programs to address agricultural challenges.

The Untapped Power Of Citizen Science: A Survey Of Utah Residents, Wesley Crump, Elizabeth Cohen, Shital Poudyal

Outcomes and Impact Quarterly

Citizen Science is an approach to involve the public in the scientific process to address locally relevant needs. A survey was conducted to explore Utahns’ relationship with citizen science. Results show a gap between respondents’ past participation and willingness to participate in citizen science, indicating an opportunity for USU Extension to strengthen its relationship with the public through citizen science.

Mechanical Engineering Virtual Reality Lab, Alan Mcdonnell

Case studies: Digital Education

Students perform multiple engineering lab experiments within the Critical Utilities 1 module. The ‘Pump Laboratory’ experiment involves interaction with a fluid power training rig to record pressure and flow readings from a variety of system states. The recorded data from multiple pumping experiments is used to create pump and system characteristic curves and charts. This experiment is very appropriate to industrial practice and design. The typical cohort size is 10+ and the availability of only one training rig introduces a ‘pinch-point’ in the interaction capacity of the students; there is insufficient time for all students to perform all the separate …