Digital Commons Network^™

The Shorthorn: January 15, 1935

The Shorthorn Newspaper Collection: 1930s

No abstract provided.

The Shorthorn: November 20, 1934

The Shorthorn Newspaper Collection: 1930s

No abstract provided.

The Shorthorn: October 23, 1934

The Shorthorn Newspaper Collection: 1930s

No abstract provided.

The Shorthorn: October 30, 1934

The Shorthorn Newspaper Collection: 1930s

No abstract provided.

The Shorthorn: September 25, 1934

The Shorthorn Newspaper Collection: 1930s

No abstract provided.

The Shorthorn: May 15, 1934

The Shorthorn Newspaper Collection: 1930s

No abstract provided.

The Shorthorn: March 13, 1934

The Shorthorn Newspaper Collection: 1930s

No abstract provided.

The Shorthorn: January 30, 1934

The Shorthorn Newspaper Collection: 1930s

No abstract provided.

The Shorthorn: December 12, 1933

The Shorthorn Newspaper Collection: 1930s

No abstract provided.

The Shorthorn: October 11, 1933

The Shorthorn Newspaper Collection: 1930s

No abstract provided.

Ransomware In Healthcare: Threats, Impacts, And Mitigation Strategies, Mackenzie Dotson, Kasi Gorli, Alberto Coustasse

Management Faculty Research

Excerpt: The growing digitalization of healthcare has exposed hospitals to significant cybersecurity threats, particularly ransomware attacks. The Health Sector Cybersecurity Coordination Center (HC3) reported that as of mid-2024, there were 730 cyber-attacks worldwide against healthcare institutions, with 530 targeting the U.S. (AHA, 2024). Half of these incidents involved ransomware, a type of malware that restricts access to critical data until a ransom is paid (HHS, 2021). Hospitals are attractive targets for cybercriminals due to their essential role in patient care. Cybercriminals exploit vulnerabilities in hospital networks, often causing severe operational and financial damage. Factors such as understaffed IT teams, outdated …

Cyber Threats In Healthcare: The Ransomware Epidemic, Mackenzie Dotson, Kasi Gorli, Alberto Coustasse

Management Faculty Research

In this presentation, we will delve into the growing ransomware crisis in healthcare, examining how these cyber threats disrupt hospital operations, jeopardize patient safety, and impose significant financial burdens. From understanding how ransomware infiltrates hospital systems to exploring real-world case studies, we will uncover the devastating impact of these attacks. Our discussion will also focus on mitigation strategies, cybersecurity best practices, and policy recommendations to safeguard healthcare institutions from future threats.

Examining Changes In Teacher Dispositions Post-Covid, Tamala L. Martin

Morehead State Theses and Dissertations

A capstone submitted in partial fulfillment of the requirements for the degree of Doctor of Education in the Ernst and Sara Lane Volgenau College of Education at Morehead State University by Tamala L. Martin on March 28, 2025.

Relationship Between Dual Credit Type And College Enrollment, Jessica Kern

Morehead State Theses and Dissertations

A capstone submitted in partial fulfillment of the requirements for the degree of Doctor of Education in the Ernst and Sara Lane Volgenau College of Education at Morehead State University By Jessica Kern on March 28, 2025.

Breakfast In Schools: Literature Review, Hannah C. Posey

Master of Nutrition and Dietetics

Breakfast is recommended as part of a healthy diet because it is associated with healthier macro and micronutrient intakes, BMI, and lifestyle. Breakfast is also widely promoted to improve cognitive function and academic performance (Hoyland et al., 2009). Yet, according to Hayes and FitzSimons (2024) in the 2021-2022 school year, 51.9 out of every 100 students picked up breakfast, while in the 2022-2023 school year that decreased to 50.9 out of every 100 students. That is a decrease of 1.2 million children for the school year not receiving school breakfast that had the year prior. Hearst et al. (2017) discovered …

British Conduct Is A Major Reason Of Ireland Resist, Churong Wei, Jeanne Sumrall

SACAD: Scholarly Activities

For centuries, Ireland was under Britain's rule, the struggle for Irish people’s independence, driven by a deep desire of self governance, economic justice, and cultural identity , has never stopped.

During the years of Britain domination, Irish people faced political repression, economic exploitation, and religious discrimination, specifically against its Catholic majority. These can be symbolled by The Great Famine (1845–1852) and British neglect further fueled resentment.

In 19th and 20th centuries, nationalism raised in Ireland, along with symbolic events like Easter Rising(1916) and the Irish War of Independence(1919–1921). These event solidified the demand of freedom and independence among Irish people. …

Ai Models By Boodlebox: Purpose-Built Intelligence, Kyle Horn

SACAD: Scholarly Activities

Generative AI has transformed the way we interact with technology, enabling dynamic and intelligent conversations through AI-driven bots. This project explores my experience with BoodleBox, a platform that hosts AI chatbots, offering users access to leading AI models such as ChatGPT, Gemini, DALL·E, and DeepSeek. Through the FHSU Generative AI Initiative, I was granted access to experiment with these models and create my own custom AI bot tailored to specific needs. This poster highlights the process of developing a custom bot, including defining instructions, enforcing rules, and sharing the bot for others to use. Additionally, it discusses the background of …

2025-03-28, Board Of Regents, Murray State University

Board of Regents Meeting Minutes

No abstract provided.

Accurate And Scalable Control-Flow Differential Analysis On System Traces, Yuta Nakamura

College of Computing and Digital Media Dissertations

Debugging and understanding system behavior pose technical challenges, often necessitating the comparison of two audited execution traces. Although provenance systems execution traces, the audited traces at most enable causal analysis within a single known execution. As a result, utilizing provenance systems differential analysis thus for debugging and reasoning is a challenging task. This thesis addresses the challenge of using provenance in debugging by developing accurate and scalable methods for differential analysis of system provenance. Our approach emphasizes the importance of knowing the application’s provenance graph structure and embedding this graph structure information within traces to conduct a precise differential analysis …

Integrative Multi-Omics And Clinical Data Analysis For Predicting Recurrence And Survival In Uterine Cancer, Varun Sai Raigir

USF Tampa Graduate Theses and Dissertations

The prediction of uterine cancer recurrence is very important for assisting women in reducing the cancer risks and also for the growing field of personalized medicine. The primary aim of this thesis is to investigate the integration of various omics data alongside clinical and therapeutic information to predict survival in uterine cancer. The combination is very important for understanding the risk factors, including clinical aspects, genetics, and the treatment schedule, in order to prescribe the appropriate way to reduce the risk of recurrence, make clinical interactions easier, and enhance personalized patient care. This study utilizes the publicly accessible TCGA dataset, …

Essays On Policy Initiatives For Equitable And Fair Distribution Of Benefits Of Information Technology, Roohid Ahmed Syed

USF Tampa Graduate Theses and Dissertations

The impact of Information technology on human lives is beyond measure. Information technology has become so integral to our human lives that we can no longer undermine its societal impact. While there is ample evidence for the societal gains from digital technologies, there is evidence for the inequitable distribution of such gains across society. For example, accelerated digitization of economy has left the digital haven-nots with limited access to education, health care and employment opportunities further deepening the already existing social inequities. Furthermore, increasing implementation of algorithms has created the problem of algorithmic bias across multiple domains including hiring. Though …

An In-Depth Analysis Of The Bellarmine University Student Athlete Experience, Mattingly E. Spalding

Undergraduate Theses

The goal of this thesis is to improve the student athlete experience at Bellarmine University through direct feedback from our current student athletes. By defining what parts of the student athlete experience they value most, Bellarmine can reflect on the support currently provided in these areas. Additionally, if it is concluded through the response that high valued areas are not being satisfied, Bellarmine can work to improve the support in these areas. Or, if there is abundant support in a low-valued area, Bellarmine could think to shift resources into a more needed concentration. Through the design sample, data was accumulated …

Automated Data Analysis For Concussion Patient Records: A Flutter-Based Desktop Application, Fhaheem Tadamarry

USF Tampa Graduate Theses and Dissertations

Concussions are a prevalent and complex medical condition requiring careful clinical assessment and data-driven insights for effective management. This thesis presents the development of an automated data analysis system for concussion patient records, integrating Flutter-based desktop application development with SQL-driven data processing. The system provides a streamlined, interactive interface for clincians and researchers to upload, visualize, and analyze patient data efficiently.

The proposed solution automates data cleaning, preprocessing, and statistical analysis, ensuring robust and reliable insights into demographic, clinical, and recovery-related factors. Key analyses include sex-based differences injury mechanisms, prior head injury impact, mood disorder correlations, and time-to-treatment variations. The …

Multimodal Ai-Driven Biomarker For Early Detection Of Cancer Cachexia, Sabeen Ahmed

USF Tampa Graduate Theses and Dissertations

Cancer cachexia is a metabolic syndrome characterized by substantial skeletal muscle loss, impacting cancer patients' survival and quality of life. Despite its clinical significance, early detection remains a challenge due to the lack of standardized diagnostic criteria and the reliance on indirect markers. This work presents an AI-driven approach to enhance cachexia detection and monitoring by integrating multiple deep learning methodologies. We explore transformer architectures for time-series analysis to model sequential medical data, enabling disease prediction and progression modeling. To ensure robust and reliable decision-making in clinical settings, we explore Bayesian deep neural networks for uncertainty estimation. Additionally, we introduce …

Textbook Content Analysis For Statistical Content Standards For 8th-Grade Math: Commercial Publishers, Curriculum Software Supplement, And An Open Educational Resource, Matthew M. O'Brien

USF Tampa Graduate Theses and Dissertations

This dissertation examined the vertical and horizontal content analysis of statistical content within current 8th-grade mathematics instructional materials to determine the extent to which students are provided with opportunity to learn high cognitive instances and the usage of the four phases of statistical problem-solving across two commercial publishers, one open educational resource, and one curriculum software supplement. All previous analyses of statistics education content textbooks have only examined textbooks from commercial publishers or those published by national governments. The horizontal content textbook analysis investigated the textbook's background information and overall structure. The vertical content textbook analysis examined the cognitive level …

Self-Evolvability—The Ability To Utilize Artificial Intelligence—Definition, Validity, And Policy Implications, Koichi Kume, Hiroyuki Chuma

Japanese Society and Culture

To make full use of the potential of new technologies, including artificial intelligence, it is necessary to switch to a way of thinking and working that is friendly to technology. In this regard, this study examines the concept of “self-evolvability,” which is defined as a mixture of meta-cognition, "informating" everything, and pursuing a shared benefit and desire for self-change. Using survey results in Japan and the United States., we construct a self-evolvability variable and confirm unique features that differ from existing measure, and quantitatively analyzed the relationship between self-evolvability, acceptance of new technologies, provision of personal data, and approval or …

Circles Are So Euclidean: Exploring Convex Bodies, Norms, Symmetries, And Isometries Via The Minkowski Functional, Fanni Kertesz

Undergraduate Theses

In a real vector space, a symmetric convex body containing the origin and compact under the Euclidean norm uniquely defines a norm via the Minkowski functional, where the closed unit ball of this norm is the convex body. This establishes a one-to-one correspondence between convex bodies and norms. The norm derived from the convex body allows for the definition of a metric, enabling the study of isometries within the space. However, the symmetries of the convex body itself do not completely determine the isometries of the associated Minkowski space. Instead, the symmetries of the most symmetric shape a convex body …

Cultivating Community: A Mixed-Methods Study Examining Community Literacy Practices In The Secondary Ela Classroom, Anna Heilers

Undergraduate Theses

Past research on the relationship between community literacy and schooling has emphasized how educators can use community-based prior knowledge to teach students the privileged literacies associated with academia. Some researchers have discussed the potential for university-community partnerships that are mutually beneficial, but few have explored possibilities for change in the high school setting. Utilizing 24 survey responses and 2 interviews, this study sought to answer the following questions: Do high school class experiences have any impact on students’ community literacies? If they do, do they support or hinder their growth? I analyzed data using a combination of correlational analysis, axial …

How Do We Observe Relational Observables?, Emily Adlam

Mathematics, Physics, and Computer Science Faculty Articles and Research

In theories with a diffeomorphism symmetry, such as general relativity and canonical quantum gravity, it is often proposed that the empirical content is encoded in relational observables. But how do relational observables actually make contact with experience? I argue that this question can only be answered by providing a schematization of the observer which is appropriate for the context of a diffeomorphism-invariant theory. I suggest that this may require us to move away from a ‘passive awareness’ conception of consciousness towards a more agential conception, because there is a clear sense in which an embodied agent must experience herself as …

Litigating Vertical Mergers: Innovation Dynamics From Illumina-Grail, Aurelien Portuese

Washington and Lee Law Review Online

Illumina-Grail represents an important moment in antitrust litigation, reshaping the legal landscape for vertical mergers in innovation-driven markets. This Article analyzes the Federal Trade Commission’s uncommon achievement in blocking the Illumina-Grail merger—a ruling sustained by the Fifth Circuit Court of Appeals—emphasizing its significant ramifications for antitrust legislation. The case examines the complex dynamics of innovation competition and emerging market definition, challenging established doctrines regarding the inherently procompetitive nature of vertical mergers. This Article examines the changing criteria for defining relevant markets and evaluating competitive harm in research and development-oriented industries. It also discusses the Fifth Circuit’s support of the FTC’s …