Digital Commons Network^™

Nova Law Review Full Issue Volume 50, Issue 2

Nova Law Review

No abstract provided.

Where Does The Border Begin And The Fourth Amendment End? Warrantless Forensic Searches Of Outbound Travelers' Electronic Devices, Robert C. Buschel Esq., Bradford M. Cohen Esq.

Nova Law Review

No abstract provided.

Human Or Machine? Evaluating Authorship In The Age Of Generative Ai, Risauris Sanz-Garcia

Nova Law Review

No abstract provided.

2025 U.S. Globe Partner Yearbook, Globe U.S. Coordination Office

Partner Yearbooks

No abstract provided.

The Mental Health Mastermind: How Noah Kahan Reduces Stigma, Meghan Deeley

ENG 490 Senior Seminar Capstone

Mental health anti-stigma strategies have been largely studied; however, limited research examines how musicians integrate lyrics and marketing strategies to reduce mental health stigma. This study fills the gap by analyzing the work of Noah Kahan, whose cultural prominence places him as an influential individual in normalizing mental health discourse. Drawing on existing research in anti-stigma campaigns, social media storytelling, and lyrical analysis, this study examines The Busyhead Project Instagram content and “Stick Season” lyrics. Using qualitative methods, findings illustrate that Kahan's incorporation of open reading lyrics with contact-based content enhances effectiveness of anti-stigma messaging. This research is a framework …

The Wanton-Lyman-Hazard Collection: Reanalysis Of A Legacy Collection, Emily E. Henderson

ENG 490 Senior Seminar Capstone

Constructed in 1697, the Wanton-Lyman-Hazard House is one of the oldest remaining structures on Aquidneck Island. Archaeological excavation by Salve Regina University in the early 2000's uncovered 300+ years of material culture associated with the site, but these artifacts have since been subject to few and incomplete analyses. While discussing discrepancies in these earlier analyses of this site, ongoing research creates a collections management system for these artifacts and evaluates their potential to inform a variety of other research avenues in the future.

Mapping Consumer Perceptions Of Ai-Enabled Smart Clothing On Twitter: A Social Network And Semantic Analysis, Farhana Momotaz, Juyoung Lee, Md Rashedul Hasan, Caroline Kobia

LSU Fashion and AI x Policy Symposium

No abstract provided.

Beyond The Mannequin Shot: A Method For Ai-Assisted Fashion Communication Through Editorial Imaging, Li Jiang

LSU Fashion and AI x Policy Symposium

No abstract provided.

Comparison Of Communication Interfaces In Ai-Driven Styling Services, Yanbo Zhang, Chuanlan Liu

LSU Fashion and AI x Policy Symposium

No abstract provided.

Algorithmic Reassembly And User Agency: Ugc Design Practices And Cultural-Aesthetic Production In Ai Guofeng Makeover Short Videos, Jiayu Li, Jie Chen, Honglei Zhou, Keke Ye, Chenqu Ma, Jing Song

LSU Fashion and AI x Policy Symposium

No abstract provided.

The Fashioned Body Of Ai Humanoids: A Consumer Perspective, Yiling Zhang, Juanjuan Wu

LSU Fashion and AI x Policy Symposium

No abstract provided.

The Promise And Peril Of Ai-Assisted Textile Heritage Products: How Interactive, Creative, And Cultural Attributes Shape Visitors’ Premium Purchase And Sharing Intentions, Tianyuan Deng, Yu Huang, Xiaofen Ji, Chengming Zhang

LSU Fashion and AI x Policy Symposium

No abstract provided.

Governing Ai-Generated Fashion Imagery: Disclosure Formats, Transparency Perceptions, And Consumer Trust, Peixian Sui, Lingyi Zeng, Jinying Mou

LSU Fashion and AI x Policy Symposium

No abstract provided.

Innovations And Practice In Apparel Structure And Craft Education Based On 3d Modeling, Xiaoxiao Hao, Linzhen Li, Jinying Mou

LSU Fashion and AI x Policy Symposium

No abstract provided.

The Algorithmic Renaissance:Trust Erosion And Reconstruction In Ai-Driven Textile Heritage Translation, Tianyuan Deng, Yu Huang, Xiaofen Ji

LSU Fashion and AI x Policy Symposium

No abstract provided.

The Effects Of Bilingual Services In Adaptively Leading Shared Parishes, John Patrick Cahill

Dissertations

Shared parishes are churches that have services in more than one language. Pastors struggle with how to lead, unify, and pastorally respond as populations shift and demographics change. One-third of the Catholic parishes in the United States have Mass in more than one language every Sunday. Leaders need to adapt by exploring bilingual services as a way to be more effective and inclusive. This descriptive quantitative study examined three blocks of parishioners at a particular shared parish: (a) those who attend Mass in English, (b) those who attend Mass in Spanish, and (c) those who attend the bilingual Mass. A …

Materializing Generative Ai In Conceptual Garment Design, Jeremy Bernardoni

LSU Fashion and AI x Policy Symposium

No abstract provided.

Blue Earth, Pale Moon: Human-Ai Co-Authorship In An Ephemeral System, Angela Uriyo, Colleen Moretz

LSU Fashion and AI x Policy Symposium

No abstract provided.

Algorithm-Based Trust In The Digital Body: The Impact Of Ai+3d Virtual Model Dressing Technology On Trust Among Chinese E-Commerce Apparel Consumers, Chuming Fu, Xiangyang Bian

LSU Fashion and AI x Policy Symposium

No abstract provided.

Fashion After The Interface: Artificial Intelligence, Synthetic Culture, And The Reorganization Of Human Expression, Jason Jamerson

LSU Fashion and AI x Policy Symposium

No abstract provided.

Hunters Of Men: A Tribal Reading Of The Missiological Motif In Luke 5:1-11, Themshang Horam

The Asbury Journal

This article presents an intercultural and contextual reading of Luke 5:1–11 from the perspective of the Naga tribes of Northeast India, proposing a reinterpretation of the traditional “fishers of men” motif as “hunters of men.” Grounded in the author’s cultural context—where, owing to the absence of large water bodies, fishing serves as a secondary means of subsistence while hunting remains central to social and spiritual life— this study contends that biblical metaphors risk losing their theological depth and communicative efficacy when removed from the ecological and cultural frameworks of the receiving community. Through exegetical analysis and intercultural hermeneutics, the paper …

Solving High-Dimensional Differential Equations Using Recurrent And Residual Neural Network Architectures, Hind Khaled Kolaib

Knowledge Engineering and Data Science

High-dimensional Partial Differential Equations (PDEs) form the foundation of complex process modeling in various scientific and engineering applications, including finance, physics, and optimal control. However, classical numerical methods are adversely affected by the curse of dimensionality, making them inapplicable for large-scale problems. Recently, however, deep learning-based approaches have provided a new toolbox for these high-dimensional PDEs, including methods such as the Deep Backward Stochastic Differential Equation (Deep BSDE) method. Our approach draws on a more sophisticated deep learning backbone, using neural networks (in our case, a Residual Neural Network and a Long Short-Term Memory network (LSTM) integrated into the Deep …

Holistics And Foundations Of Culture-Space Economics Holistics And Foundations Of Culture-Space Economics Volume I Holistics And Foundations Of Culture-Space Economics: Volume I, Victor L. Tonn

Faculty and Staff - Ebooks

Situated in the light of holistics and its various formulations of systrix, this book advances a series of frontier lectures on culture–space economics, ultimately grounded in the mutual economy. It develops a coherent framework of wealth creation and accumulation coupled with humane distribution, through which the economic mechanisms of twenty-first-century earth–space transformations are explored. Beyond this theoretical inquiry, the book engages in an in-depth analysis of hegemonic competition between Type I and Type II economies (in abstraction, China and the United States), with the broader aim of discerning conditions conducive to enduring universal peace.

Green Cities Conference 2026--Program Booklet, Minoo Tehrani

Business Faculty Publications

No abstract provided.

Green Cities Conference Proceedings-2026, Minoo Tehrani

Business Faculty Publications

No abstract provided.

Celebrating Faculty Scholarship And Service, Salve Regina University 2025-2026, Office Of Academic Affairs

Faculty and Staff - Ebooks

This e-book celebrates the diverse accomplishments of Salve Regina University faculty across scholarship, teaching, experiential learning, creative expression, community engagement, and service in 2026-2026. It highlights peer-reviewed research, books, artistic works, conference presentations, grant-funded projects, innovative teaching initiatives, and collaborations that extend learning beyond the classroom. Faculty achievements demonstrate a strong commitment to student mentorship, undergraduate research, interdisciplinary inquiry, and partnerships that benefit local and global communities. The e-book also recognizes significant external funding, Compass Summer leadership, sabbatical recipients, promotions, and new faculty appointments, reflecting the university’s ongoing dedication to academic excellence and mission-driven engagement.

Effect Of Increasing Potency Of Steroidal Implants In Beef Steers At Weaning From Dry-Lot To Finish, Weston Joseph Peschel

Electronic Theses and Dissertations

The receiving phase is a stressful transition period in beef production. Newly weaned cattle are offered low-energy, high-forage diets promoting lean tissue and bone development prior to the finishing phase. Steroidal implants containing trenbolone acetate (TBA) and estradiol benzoate (EB) enhance lean gain. Aggressive early implant exposure has been shown to negatively impact intramuscular fat deposition. This two-part study evaluated the initial and carryover effects of increasing doses of combined TBA and EB weaning implants on growth performance, serum metabolites, and carcass traits. In Exp. 1, newly weaned Charolais × Red Angus crossbred beef steers [n = 240 initially; body …

A Framework For Reliable Domain Ai: Knowledge-Grounded Data And Logic-Graph Reasoning, Yangxiao Bai

Electronic Theses and Dissertations

Large language models (LLMs) perform well on general tasks, yet their deployment in specialized, high-stakes domains such as public health remains unreliable. Models hallucinate facts, combine multi-step evidence incorrectly, and retrieve context that corrupts downstream reasoning. Three root causes underlie these failures: training data that underrepresents rare but critical domain themes, reasoning that is opaque and unverifiable, and evidence use that cannot be re-checked when the evidence changes. This dissertation addresses all three. First, we introduce HDBSCAN_SSA, a coarse-to-fine topic-modeling pipeline that couples density-based clustering with a novel Semantic Seed Aggregation algorithm. Using samples drawn from a larger corpus of …

(Re) Imagining Workplace Mindfulness, Jarica D. Garner

Theses and Dissertations

School counselors are First-Responders as the role and responsibilities continue to increase and the needs of the school community changes. Diversity has notably increased within the last century in school settings. While, the impact of the COVID-19 crisis has shed light on the gaping and persistent inequities faced by marginalized school communities, the heightened racial crisis of 2020 serves as an additional impact to the students within vulnerable communities. School counselors are expected to support students in navigating the impact that these crises bring. The demand for school closure forced students to shift to online platforms. The intersection of the …

Ai Vs. Genai: Combating Llm Generated Prescription Fraud With Transformer Based Detection Models, Ankitha Vokkaleri Shankarappa

Selected Full-Text Master Theses 2021-

The rapid evolution of Large Language Models (LLMs) has introduced a sophisticated new vector for healthcare fraud: the generation of high-fidelity, synthetic medical prescriptions. Traditional fraud detection systems, which rely on rule-based engines and basic statistical anomalies, are increasingly ill-equipped to identify these AI-generated forgeries that mimic the structural and clinical logic of authentic records. This thesis presents a robust detection framework using Transformer-based architectures to distinguish between human-authored Medicare Part D prescriptions and fully synthetic records generated by GPT-4.

The research was conducted across two distinct phases: an initial pilot study using 4,000 samples and a rigorous validation stress …