Digital Commons Network^™

Reflecting On Ai Use Through Syllabus Statement Development, Jason Blomquist

Biennial Convention (CONV)

As artificial intelligence (AI) tools become increasingly prevalent in higher education, nursing faculty face the complex task of developing comprehensive course policies that address both the opportunities and challenges these technologies present. This presentation provides guidance for crafting effective AI policies via course syllabi through faculty reflection on course content, pedagogy, and enhancing active learning.

Faculty will learn a structured practice for developing AI syllabi statements that align with course objectives while preserving essential nursing competencies. The practice framework addresses five critical elements: clear policy articulation, pedagogical rationale, specific usage guidelines, transparency requirements, and integration within existing academic integrity policies. …

Integrating Ai Tools For Literature Searches: Implementation In An Evidence-Based Practice Course, Ryoko Kausler

Biennial Convention (CONV)

This interactive session presents practical strategies for incorporating AI tools in undergraduate nursing research/evidence-based practice (EBP) education, specifically focusing on literature search processes. EBP is fundamental for safe and effective patient care, yet nurses often struggle with implementing EBP in their daily practice.^1,2 Over 50% of nurses rely on Google searches or peer advice rather than scholarly databases, highlighting the critical need to strengthen research competencies beginning at the undergraduate level.³ Similar to practicing nurses, undergraduate nursing students struggle with foundational EBP skills, particularly in efficiently searching and critically analyzing research literature.^4,5 It is essential to develop …

The Cowl - V. 89 N. 10 - December 11, 2025

The Cowl

The Cowl - student newspaper of Providence College. Vol. 89 No. 10 - December 11, 2025. 24 pages.

Mechanical Quality Of Hemp Fiber As Influenced By Tillage, Cover Crop, And Nitrogen Management In Regenerative Organic Systems, Parinaz Heydar, Alyssa Pierce, Gabriella Fioravanti, Ronald Kander

School of Design and Engineering Papers

Industrial hemp (Cannabis sativa L.) is an emerging crop for renewable fiber materials. For farmers, finding a balance between agronomic performance and economic return is crucial, especially when targeting specific markets like the textile industry, which values not just fiber quantity, but overall quality. This field study, conducted at the Rodale Institute in Kutztown, Pennsylvania, assessed the effects of tillage (till vs. no till), cover crop (with cover vs. no cover), and nitrogen (N) rate (0, 50, 100, 150 kg ha⁻¹) on hemp fiber yield, N concentrations in leaf and stalk, and mechanical performance under regenerative organic conditions. Fiber mechanical …

Zotpri Llc V. Burton

All Decisions

In this nonpayment proceeding, the tenant, after retaining counsel, moved to amend their pro se answer to assert affirmative defenses of payment, laches, and breach of the warranty of habitability, along with counterclaims. The landlord opposed, arguing untimeliness and insufficient pleading of laches. The court granted the tenant's motion, allowing the amended answer with the payment and warranty of habitability defenses and counterclaims. However, the laches defense was stricken for insufficient pleading, as it failed to demonstrate lack of notice or prejudice to the tenant, beyond mere delay, which are essential elements for an equitable laches claim.

The Role Of Toll-Like Receptors In Tributyltin, Dibutyltin, And Pentachlorophenol Stimulation Of Tumor Necrosis Factor Alpha Production By Human Immune Cells, Latoya Michelle Daniel

Tennessee State University Alumni Theses and Dissertations

Tributyltin (TBT), Dibutyltin (DBT), and Pentachlorophenol (PCP) are persistent environmental contaminants that have been shown to increase immune-cell production of pro-inflammatory cytokines and thus have the capacity to cause chronic inflammation and its associated pathologies such as cancer, cardiovascular disorders, and autoimmune conditions. TBT has been detected in human blood at concentrations up to 260 nM, DBT up to 0.3 µM, and PCP between 0.15 and 5 µM. Tumor necrosis factor-alpha (TNF-α) is a pro-inflammatory cytokine produced by immune cells in response to pathogen- or damage-associated molecular patterns (PAMPs/DAMPs) via Toll-like receptors (TLRs). Dysregulated TNF-α production contributes to chronic inflammatory …

A Fault Tolerant Honeybee Behaviour Load Balancing Algorithm, Charmaine Adegbite

Tennessee State University Alumni Theses and Dissertations

Cloud computing enables flexible, scalable access to virtualised infrastructure but remains challenged by maintaining performance in fault-prone environments. Faults such as virtual machine failures can degrade task allocation and system reliability. However, traditional load balancing algorithms and bio-inspired strategies, including the Honeybee Behaviour Load Balancing algorithm, assume fault-free conditions. This thesis introduces a Fault-Tolerant Honeybee Behaviour Load Balancing algorithm that enhances the original Honeybee Behaviour Load Balancing algorithm by integrating fault detection. The proposed algorithm monitors the health of VMs and dynamically reallocates workloads when faults are detected which improves stability and reliability. The proposed fault tolerant algorithm was implemented …

Trump-Appointed Judges Reverse Preliminary Injunction Against Military Trans Ban, Arthur S. Leonard

Other Publications

No abstract provided.

First-In-Child Phase I Trial Of P-Stat3 Inhibitor Wp1066 In Pediatric Brain Tumor Patients, Robert C Castellino, Hope L Mumme, Andrea T Franson, Bing Yu, M Hope Robinson, Kavita Dhodapkar, Dolly Aguilera, Matthew J Schniederjan, Rohali Keesari, Zhulin He, Manoj Bhasin, Waldemar Priebe, Amy B Heimberger, Tobey J Macdonald

Faculty, Staff and Student Publications

Background: WP1066 is an orally bioavailable, small molecule inhibitor of activated p-STAT3 that has demonstrated preclinical efficacy in pediatric brain tumor models.

Methods: In a first-in-child, single-center, single-arm 3+3 design Phase I clinical trial, ten patients were treated with WP1066 twice daily, Monday-Wednesday-Friday, for 14 days of each 28-day cycle to determine the maximum tolerated dose (MTD)/maximum feasible dose (MFD) of WP1066. Compassionate use treatment with WP1066 in three pediatric patients with H3.3 G34R/V-mutant high-grade glioma (HGG) is also described.

Results: There was no significant toxicity and the MFD was determined to be 8 mg/kg. Treatment-related adverse events were Grade …

Role Of Cellular Stress Responses In Innate Immune Defense Against Acute Respiratory Infections, Amit Sharma

LSU Doctoral Dissertations

The endoplasmic reticulum (ER) stress sensor inositol-requiring enzyme 1α (IRE1α) is an important regulator of innate immune cells. However, its role in pulmonary innate host defenses remains poorly understood. This dissertation elucidates the dual, context-dependent role of IRE1α in host defense against methicillin-resistant Staphylococcus aureus (MRSA) pneumonia. We demonstrate IRE1α’s function as both a detrimental mediator of acute pathology and an essential facilitator of innate immune memory. Our work revealed that acute IRE1α activation during primary MRSA infection is detrimental. In lungs and alveolar macrophages (AMs), IRE1α is activated in response to MRSA infection. Consequently, IRE1α activation triggers a hyperinflammatory …

Parameter Informed Reinforcement Learning For Vehicle System Identification, Nathan Schaff

Doctoral Dissertations and Master's Theses

Accurate system identification is essential for modeling and controlling vehicle dynamics. This dissertation explores the application of Parameter Informed Reinforcement Learning (PIRL) as a novel approach to system identification (SYSID). PIRL integrates prior system knowledge, such as physical parameters, into reinforcement learning (RL) frameworks to improve estimation accuracy. The study begins with an overview of traditional SYSID methods and then introduces PIRL as a modification of standard RL. The research applies PIRL to short-period aircraft dynamics, demonstrating its effectiveness in both offline and online learning frameworks. The dissertation then further explores PIRL’s utility in an indirect model reference adaptive control …

A Nationwide Registry Study Of Surgical And Patient-Reported Outcomes Following Anterior Cervical Discectomy And Fusion: Part 2 - Cage With Versus Without Local Bone Graft, Daniel De Wilde, Victor Gabriel El-Hajj, Patrick Vigren, Victor E. Staartjes, Elias Atallah, Erik Edström, Adrian Elmi-Terander

Department of Neurosurgery Faculty Papers

BACKGROUND: Local bone grafts are commonly used as filling material in cages during anterior cervical discectomy and fusion (ACDF). Alternatively, cages without filling materials can be used. The literature comparing these approaches is limited, and their respective effects on patient-reported outcomes (PROM) have been scarcely studied. This study was conducted to compare surgical outcomes and PROMs between local bone graft-packed cages and empty cages in ACDF surgery.

METHODS: This observational study utilized data from the Swedish nationwide registry, Swespine. All adults who underwent ACDF between 2006 and 2020 were considered for inclusion. Exclusion criteria included missing baseline or outcome data. …

Conditional Generative Adversarial Network Framework For Iot Anomaly Detection, Henry Onyeka

Tennessee State University Alumni Theses and Dissertations

The growing scale and complexity of Internet-of-Things (IoT) edge networks complicate anomaly detection, particularly in identifying sophisticated Distributed Denial of Service (DDoS) attacks and zero-day behaviors under highly dynamic and imbalanced traffic conditions. This thesis proposes SD-CGAN, a Conditional Generative Adverserial Network optimzied with Sinkhorn Divergence as a geometry-aware one-class framework for robust IoT anomaly detection. SD-CGAN trains solely on benign traffic flows to learn a stable representation of normal traffic. To address class imbalance and improve the variety of the sample, we combine SD-CGAN with CTGAN-based synthetic data augmentation. Replacing the adversarial objective function with Sinkhorn Divergence yields smooth …

The Meaning Of Travel: An Exploration Within The ‘Baby-Boomer’ Generation, Regan Hicks, Alison Warren

School of Health Professions

This qualitative research explored the underresearched area of subjective meaning(s) of travel for U.K. baby-boomers, from an occupational perspective. Using a descriptive phenomenology, a convenience sample of eight baby-boomers was recruited using social media. Participants took part in semistructured interviews, and narratives were analysed using thematic analysis. Four themes were generated: (a) travel is important to me, (b) travel changes through time, (c) travel facilitators and barriers and (d) travel as a shared experience. Participants perceived travel as a meaningful and health-promoting occupation that represented freedom, choice, independence, connection and achievement. Greater comfort was sought with age while financial constraints …

Challenges And Succession Planning Among Beginning, Young, And Minority Farmers In Tennessee, Christian Alexander Smith

Tennessee State University Alumni Theses and Dissertations

Tennessee has over 77,300 farms covering 10.8 million acres that counts for about forty-one percent of the state’s 26.4 million land acres (DeLong et al., 2023). However, access to land for young, beginning, or minority farmers who need farmland and starting their farm enterprise journey can be challenging. The challenges identified by farmers in general in the U.S. range from factors of production such as financial resources, labor, management, and physical resources. Land prices and insecure leasing terms have also been identified as factors that affect farm land ownership (Horst & Gwin, 2018). This study highlights and discusses the challenges …

Perceived Value Of Radiologic Technology Degrees Among Community College Students In Tennessee, Tiffanie Harris

Tennessee State University Alumni Theses and Dissertations

Abstract This study explored how adult alumni perceive the value of earning an Associate of Applied Science in Radiologic Technology from a northern Middle Tennessee community college. It examined four questions: (1) How do alumni perceive the financial return on investment (ROI)? (2) What non-financial benefits or challenges do they report? (3) How did the program influence their career readiness and workforce entry? and (4) How did institutional support or barriers affect their educational experience? Using a convergent mixed-methods design, 18 alumni from the 2021–2024 cohorts (85.7% response rate) completed a survey with Likert and open-ended items. Quantitative data were …

Tennessee’S Green Industry: An Economic Impact Assessment, Savannah R. Lewis

Tennessee State University Alumni Theses and Dissertations

This study estimates the economic contributions of the greenhouse and nursery industry, commonly known as the "green industry," in Tennessee for 2023. Utilizing data on employment, labor income, value added, and industry output, alongside economic multipliers generated from the Input-Output modeling software, IMPLAN (Impact Analysis for Planning), we provide a comprehensive analysis of the green industry's impact on the state's agricultural economy. The findings are presented in 2025 dollars, highlighting the industry's significance for informing future policy decisions. The primary objectives were to assess total contributions at the state, regional, and county levels. Direct employment across all sectors was estimated …

The Impact Of Teacher Effectiveness Factors On Student Achievement: A Case Study, Renita Joy Perkins

Tennessee State University Alumni Theses and Dissertations

This quantitative, correlational study examined the relationship between teacher, evaluation scores and student achievement using Tennessee's Educator Acceleration Model (TEAM) evaluation system at Spencer Elementary School in rural Van Buren County. The study analyzed data from nine teachers across grades 3-5 and 150 students, investigating correlations between TEAM evaluation scores, Level of Effectiveness (LOE) ratings, and student performance on Tennessee Ready assessments in mathematics, English Language Arts, and science. Key findings revealed a counterintuitive experience-performance paradox: while teacher years of experience positively correlated with evaluation scores (r=.422, p<.001) and LOE ratings (r=.132, p=.024), it negatively correlated with student English Language Arts achievement (r=- .174, p=.039). The study demonstrated strong internal consistency within the TEAM evaluation system, with significant correlations between LOE scores and teacher evaluation ratings (r=.375, p<.001). However, only weak correlations emerged between teacher evaluation scores and student achievement outcomes, with a slight positive relationship found only in English Language Arts (r=.165, p=.049). The research revealed robust cross-subject correlations in student achievement (r=.706, p<.001), suggesting that effective teaching impacts learning holistically rather than in subject specific ways. These findings challenge assumptions about the predictive validity of observation-based evaluation systems and highlight the complexity of measuring teaching effectiveness. Implications for educational leaders include reconsidering the relationship between teacher experience and effectiveness, implementing differentiated professional development based on evaluation data rather than years of service, and developing more nuanced approaches to using evaluation systems that integrate multiple measures of teacher impact on student learning outcomes.

Predicting First-Year Retention Rates Of First Generation College Students, Trena Barksdale

Tennessee State University Alumni Theses and Dissertations

First-generation college students (FGCS) often encounter academic, financial, and social commitments that elevate their risk of attrition. Although academic preparation and engagement are recognized persistence factors, predictive research at Historically Black Colleges and Universities (HBCUs) remains scarce. This quantitative study utilized binary logistic regression to identify key predictors of first-year retention among FGCS at a public HBCU. The analysis specifically tested the influence of high school GPA, Pell Grant status, and on-campus housing. Findings confirmed that both GPA and on-campus housing were strong, statistically significant predictors of retention, while Pell Grant status was not. These results underscore the vital role …

Design And Development Of Rechargeable Cement-Based Batteries For Energy Storage Within Infrastructure, Dandan Yin

Tennessee State University Alumni Theses and Dissertations

This dissertation presented the design, fabrication, and evaluation of rechargeable cement-based batteries (CBB) for energy storage within infrastructure. The study aimed to integrate electrochemical energy storage directly into cementitious materials, enabling multifunctional and sustainable building systems. Nickel–iron electrodes and cement-based solid electrolytes to form durable, solid-state systems. The electrochemical impedance spectroscopy, cyclic voltammetry, and galvanostatic charge–discharge tests，along with microscopic testing and mechanical testing analyses, were conducted to assess battery performance. The carbon fiber mesh CBB achieved stable cycling over 100 cycles with quasi-reversible redox behavior and a maximum areal energy density of 7.6 Wh m⁻². Nickel foam electrodes, with their …

The Tax Adviser, Volume 3, Number 2, February 1972, American Institute Of Certified Public Accountants

Tax Adviser

No abstract provided.

Tax Trends, Harry Z. Garian

Tax Adviser

No abstract provided.

Tax Clinic, Thomas C. Parsons

Tax Adviser

No abstract provided.

Professions At Work: Tra Proposed Regulations: Comments, Herbert Finkston

Tax Adviser

No abstract provided.

Lilly To Lufkin-An Interpretation Of Court Thinking On Intercompany Pricing, Melchior S. Morrione

Tax Adviser

No abstract provided.

Prescription For Selling A Business - The Modified “C” Reorganization, Mario P. Borini

Tax Adviser

No abstract provided.

The Tax Adviser, Volume 3, Number 1, January 1972, American Institute Of Certified Public Accountants

Tax Adviser

No abstract provided.

Tax Trends, Harry Z. Garian

Tax Adviser

No abstract provided.

“New” Investment Credit, Meade Emory

Tax Adviser

No abstract provided.

Washington Report:Accounting For The Investment Tax Credit, Gilbert Simonetti Jr.

Tax Adviser

No abstract provided.