Digital Commons Network^™

Why Teens Are Particularly Vulnerable To The Harms Of Vaping Addiction: A Literature Review, Chloe Manning-Floch

University Honors Theses

This literature review examines the factors that have been found to place teens aged 12-18 at particular risk of the harms of vaping addiction. Sixteen relevant research studies are cited, along with four other sources containing information from the FDA, CDC, and NPR, to determine which themes are the most significant and widely identified as risk factors adding to teens' vulnerability. While the body of research on teen vaping addiction is relatively new, strong consensus exists: the most significant factors placing teens at risk of vaping addiction's harms are sweet flavoring appealing to young people, marketing of vapes that has …

Security Vulnerabilities And Defense Tactics For Generative Ai Application Development, Kyle Klein

University Honors Theses

Generative AI (GenAI) applications such as OpenAI's ChatGPT leverage large language models (LLMs) trained on enormous amounts of data to accomplish tasks such as document editing, summarization, and query response. Chatbots and LLM programs that are equipped with retrieval-augmented generation (RAG) have the ability to draw upon data provided by developers and users to improve the quality of the program's responses. LLM technology has even expanded to generate images, audio, and video from user instructions. Designed around unpredictable user input and typically composed of many opaque components, LLM software products face a paradigm shift of new, constantly evolving security challenges. …

A Capstone Review: Strategic Solutions For A Small Macrame Business, Jenna Sarieddine

University Honors Theses

This essay presents an overview of the Business Capstone project, focusing on a macramé business currently facing a $10,000 debt due to limited marketing and financial management skills. The purpose of the project is to support the business in developing an effective elevator pitch, improving its social media presence, strengthening its financial statements, and enhancing both personal and business financial practices. The essay explores the company's strengths, weaknesses, opportunities, and threats, as well as the team's collaborative approach to addressing these challenges. It outlines the goals established for the company, the strategies selected based on our academic backgrounds and business …

Money At Work: How The Inflation Reduction Act Reshaped The Irs, Richard Hansen

University Honors Theses

This thesis seeks to analyze and explore the ways in which the funding increase for the Internal Revenue Service (IRS) present in the Inflation Reduction Act of 2022 (IRA) has impacted the real life operations of the agency. These impacts will be examined across two broad categories: the ways in which the IRS has offered improved taxpayer services, and the ways in which the IRS has been better equipped to collect owed taxes and enforce tax compliance since the passage of the IRA. Existing data and literature indicates that the increased IRS funding has been correlated with some improvements across …

Decomposition Processes And Insect Indicators In Forensic Investigations, Eli Taylor

University Honors Theses

Insects play an essential biological and ecological role in human life, and their predictable relationship with decomposing remains has positioned them as a cornerstone of modern forensic science. Since the early 20th century, forensic entomology has provided critical evidence for estimating the postmortem interval (PMI), relying on patterns of colonization, species succession, and insect developmental timelines. Accurate PMI estimations are vital to medicolegal investigations, influencing the interpretation of biological evidence, guiding resource allocation, and informing determinations of cause and manner of death. However, insect activity is profoundly shaped by environmental and ecological variables, including temperature, humidity, seasonal shifts, and geographic …

Interventions For Online Gambling Addiction With Vulnerable Populations, Ethan Sarin

University Honors Theses

This paper looks at the modern rise of online gambling, what has been done to address it, and how we can improve upon them in the future. Online gambling is gambling done through a digital medium with two distinct forms: gambling adjacent activities (GAAs), and general online gambling. GAAs are activities that highly resemble gambling, but are legally distinct from gambling due to different kinds of obfuscation like using in-game currency to gamble instead of directly real world money. General online gambling is much clearer about it being gambling with many kinds of gambling activities to partake in from digital …

Violence Against Children And Youth In Humanitarian Settings: Findings From A 2024 Survey Of Refugee Camps In Ethiopia, Refugees And Returnees Service, Unhcr Regional Bureau For The East And Horn Of Africa And Great Lakes, Baobab Research Programme Consortium

Humanitarian Task Force

While several Violence Against Children and Youth Surveys (VACS) have been conducted in development contexts, this survey is only the second-ever VACS carried out exclusively in a humanitarian setting—specifically, within refugee camps in Ethiopia. The first VACS conducted exclusively in a humanitarian context was implemented in refugee settlements in Uganda. Both of these Humanitarian Violence Against Children and Youth Surveys (HVACS) were led by the Baobab Research Programme Consortium.

The survey aimed to assess the prevalence, nature, and consequences of physical, emotional, and sexual violence against children and youth in refugee settings. The findings from this survey provide critical insights …

Contracted Out Of Justice: The Role Of Arbitration Clauses In Undermining Consumer Rights, Brooke Shifflett

USF St. Petersburg campus Honors Program Theses (Undergraduate)

This thesis examines the growing use of mandatory arbitration clauses in adhesion contracts and argues that their widespread enforcement has undermined consumer and employee access to justice. Through an analysis of contract law, the Federal Arbitration Act (FAA), Supreme Court jurisprudence, empirical research, and ethical theory, the study explores how arbitration clauses have evolved from a voluntary dispute resolution mechanism into a tool frequently used by corporations to limit liability, suppress collective legal action, and avoid public accountability. The thesis evaluates the doctrine of unconscionability as a critical safeguard against unfair contractual provisions, highlighting how procedural and substantive inequalities often …

Realism, Truth, And Commitment: An Exposition And Critique Of Michael Devitt's Constitutive Account Of Realism, Samuel Elias Hobbs

Dissertations and Doctoral Documents, University of Nebraska-Lincoln, 2023–

Michael Devitt argues in Realism and Truth that positive semantic issues are not constitutive of realism concerning the mostly impersonal external world. This is motivated by his second maxim which prescribes that the metaphysical (ontological) issue of realism is to be (sharply) distinguished from any (positive) semantic issue. Devitt’s argument is that his view of realism, entitled ‘Realism’, doesn’t entail and isn’t entailed by any doctrine of truth.

This dissertation presents a critique of the argument indicated above and, thereby, Devitt’s second maxim. I present Devitt’s account of Realism and his overview of theories of truth. I next present Devitt’s …

Evaluation Of Distractor Model Specifications On Assessment Quality Within The Framework Of Assessment Engineering, Sunhyoung Lee

Dissertations and Doctoral Documents, University of Nebraska-Lincoln, 2023–

Responding to the high demand for new test items, model-based item development has emerged as a promising approach for efficient item creation. Item models within Assessment Engineering (AE) offer a systematic framework that effectively generates a large volume of new items. In the development of multiple-choice questions, well-constructed distractors are essential for ensuring item quality, although creating them requires significant time and resources. A distractor model is a sub-model within an item model, producing correct answers and distractors aligned with all potential items to be generated. Various types of distractor models have different characteristics and offer efficient methods for generating …

The Graphic Shift: Leveraging Superhero Graphica To Un-Ban Critical Conversations In The Secondary English Language Arts Classroom, Avery Clason

Department of English: Dissertations, Theses, and Student Research

This thesis investigates the challenges that books are receiving during an era of social and political turmoil based on their content. Understanding why these books are polarizing for most readers and the general public is in direct connection with finding different books that can harbor the same conversations about dense topics and cultivating connections between students, the text, the world, and themselves. While there has been a search to find alternate books that are not considered "political flashpoints,” there has been limited research into the use of superhero graphica in the ELA classroom, especially in connection to utilizing this genre …

Volume 12 Issue 3 (Dec 1912)

The Soul Winner

No abstract provided.

Elementary School Teachers’ Perspectives On Project-Based Learning Implementation In Commonwealth Of The Northern Mariana Islands, Xiao Tang

Walden Dissertations and Doctoral Studies

Elementary schools play an essential role in equipping students with 21st-century skills. Project-based learning (PBL) is a student-centered instructional approach that is associated with the development of these skills, yet PBL implementation in elementary schools is not well understood in Saipan, the Commonwealth of the Northern Mariana Islands (CNMI). The research problem addressed in this study was a lack of understanding of elementary teachers’ practices in implementing PBL in Saipan. Guided by constructivist theory, the purpose of this qualitative study was to examine elementary school teachers’ perspectives on the benefits of PBL, the ease or difficulty when implementing PBL, the …

From Feedback To Insight: Using Hierarchical Clustering Analysis To Identify And Analyze Feedback Dimensions In Online Courses, Reagan R. Siggard

All Graduate Theses and Dissertations, Fall 2023 to Present

The demand for online courses continues to increase, as do the critiques of their effectiveness. Studies have found that peer interactions positively impact the online course experience and that peers can offer feedback to each other at the instructor's level with proper guidance. To help understand this feedback, researchers have identified feedback dimensions. Most feedback dimensions have been created through inductive coding, not exploratory data analysis approaches. This study sought to identify those feedback dimensions that perhaps had been missed or were highly associated with those already existing in the literature, hoping to inform research and practice to improve the …

A Critical Policy Analysis Of Dual Language Education Policies On The Equity And Opportunity Of Participation And Access For Multilingual Learners, Justin A. Andersen

All Graduate Theses and Dissertations, Fall 2023 to Present

Dual Language Immersion programs help students become fluent in two languages while achieving academic success. Originally designed to support students who speak languages other than English at home, these programs have grown rapidly across Utah and the U.S. However, they increasingly serve white, English-speaking families seeking enrichment opportunities, while multilingual students who could benefit most remain underrepresented.

This study examined recruitment and admissions policies in two Utah school districts’ dual language programs. By comparing policy documents, analyzing enrollment data, and interviewing district staff, school leaders, and parents, the research revealed significant implementation differences despite identical statewide program requirements.

One district …

Gastropod Assemblage And Biofilm Abundance On Rocky Shores Of Southern Antique, Panay, Philippines, Mia Jane D. Geneblaza, Karen A. Villarta-Lane

The Philippine Agricultural Scientist

The gastropod assemblage and biofilm abundance, measured as chlorophyll a levels, were examined at 3 rocky shore sites in southern Antique, Panay, Philippines, in February 2024 to address significant gaps in current knowledge and help better understand the ecological dynamics of rocky intertidal zones. A total of 14 families comprising 22 genera and 31 species were identified from the area. The family Littorinidae was the most speciesrich, comprising 9 species. Among these, the scabra periwinkle Littoraria scabra (Philippi 1846) was the most abundant, comprising on average 50.17% of the total abundance across sites. Other identified gastropod families included Muricidae (5 …

Evaluating A Blood Warming Device For Packed Red Blood Cell Transfusions To Decrease Hypothermia In Very Preterm Infants: A Randomised Control Trial Protocol, Kayla C. Everhart Phd, Rn, Michael D. Wirth Msph, Phd, Face, Victor N. Iskersky, Robin B. Dail Phd, Rn, Faan

Publications

Background: This protocol describes a study to test a commercial blood warming device in warming blood transfusions to prevent hypothermia associated with packed red blood cell (PRBC) transfusions in very preterm infants. Objectives: Very preterm infants receiving blood transfusions warmed by a commercial blood warmer will have less central body hypothermia post transfusion (abdominal temperatures < 36.5°C) and/or a higher mean abdominal temperature for the hour after the transfusion is complete compared to those receiving blood transfusions by standard of care. This trial has been registered with Clinicaltrials.gov (trial number NCT05170633). Methods: In this trial, which is funded by The Gerber Foundation and adhered to the SPIRIT2013 checklist, 140 very preterm infants with an order to receive PRBCs will be randomised into a standard of care group to receive one PRBC transfusion over 3 h with blood in a syringe at room temperature or into the intervention group to receive one PRBC transfusion over 3 h using a Hotline® Blood and Fluid Warmer. Abdominal skin temperatures will be measured every minute through a blood transfusion using a skin thermistor and datalogger. Data analysis: Descriptive statistics will be computed for each group to compare demographics and all infant pre-, during, and post-transfusion body temperatures. A student t-test will be used to compare the groups on mean post-transfusion temperatures as a primary outcome variable. To examine thermal change over time between the two groups, linear mixed models with a random intercept will be utilised. Results: This trial began in January 2022, in a South Carolina neonatal intensive care unit and is ongoing. Discussion: This RCT will determine if warming PRBC transfusions will prevent hypothermia in preterm infants during and after blood transfusions. Results from this trial will be used to design national standards for blood transfusions in preterm infants to decrease morbidity and mortality.

A Phenomenological Study Into The Experiences Of Introverted Teachers, Bambi A. Hamel

All NMU Master's Theses

Behavior management has long been a challenge for teachers in general, but there has been a lack of research on behavior management through the lens of personality type, such as introversion. This qualitative phenomenological study explored the strengths and skills of introverted teachers to facilitate positive behaviors in their classrooms, as well as challenges they encountered. In a semi-structured interview, five teachers from a school district in the Central Upper Peninsula of Michigan were presented with a specific set of questions (See Appendix C) targeting their experiences in behavior management as introverted teachers. The results highlighted the teachers’ unique traits …

A Design-Based, Qualitative Study On Professional Learning Communities For Standards-Based Instructional Planning, Kathryn Noelle

Dissertations

The study used the design thinking process to ground the work in empathy, allowing the researcher to determine teachers’ needs and create a working prototype to support teachers with understanding grade-level standards. The research examined how participating in a Professional Learning Community (PLC) could support teachers in using grade-level standards for instructional planning. The study was conducted online and included certified third-, fourth-, and fifth-grade teachers from three urban school districts in Missouri. The researcher facilitated the PLC, leading discussions and sharing resources and supports to deepen teachers’ understanding of grade-level standards. Data were collected using pre- and post-surveys, exit …

Upright-Net+: Enhanced Learning Of Upright Orientation For 3d Point Clouds, Xufang Pang, Feng Li, Hongjie Zhuang, Ning Ding, Xiaopin Zhong, Shengfeng He, Wenxi Liu, Bo Jiang

Research Collection School Of Computing and Information Systems

Automatic 3D shape analysis is heavily influenced by the pose of input 3D models, as the continuous nature of pose space introduces complexities that usually exceed the encoding capacities of standard deep learning frameworks. To tackle this challenge, we present Upright-Net+, an enhancement of our previous model, Upright-Net, specifically developed for estimating upright orientation in 3D point clouds. Our approach is grounded in the design principle that ”form ever follows function,” treating the natural base of an object as a functional structure that stabilizes it in its typical pose, influenced by physical laws and geometric properties. We reformulate the continuous …

Safe-Sora: Safe Text-To-Video Generation Via Graphical Watermarking, Zihan Su, Xuerui Qiu, Hongbin Xu, Tangyu Jiang, Jun-Hao Zhuang, Chun Yuan, Ming Li, Shengfeng He, Fei Yu

Research Collection School Of Computing and Information Systems

The explosive growth of generative video models has amplified the demand for reliable copyright preservation of AI-generated content. Despite its popularity in image synthesis, invisible generative watermarking remains largely underexplored in video generation. To address this gap, we propose Safe-Sora, the first framework to embed graphical watermarks directly into the video generation process. Motivated by the observation that watermarking performance is closely tied to the visual similarity between the watermark and cover content, we introduce a hierarchical coarse-to-fine adaptive matching mechanism. Specifically, the watermark image is divided into patches, each assigned to the most visually similar video frame, and further …

Iostom: Offline Imitation Learning From Observations Via State Transition Occupancy Matching, Quang Anh Pham, Brahmanage Janaka Chathuranga Thilakarathna, Tien Mai, Akshat Kumar

Research Collection School Of Computing and Information Systems

Offline Learning from Observations (LfO) focuses on enabling agents to imitate expert behavior using datasets that contain only expert state trajectories and separate transition data with suboptimal actions. This setting is both practical and critical in real-world scenarios where direct environment interaction or access to expert action labels is costly, risky, or infeasible. Most existing LfO methods attempt to solve this problem through state or state-action occupancy matching. They typically rely on pretraining a discriminator to differentiate between expert and non-expert states, which could introduce errors and instability—especially when the discriminator is poorly trained. While recent discriminator-free methods have emerged, …

Cssa-Fusion: Channel Selective And Spatial Alignment Infrared-Visible Image Fusion, Zhen Li, Zhi Zeng, Zhongrui Xiao, Ming Wen, Zhiyuan Zhang, Yibin Tian

Research Collection School Of Computing and Information Systems

Infrared-visible image fusion aims to integrate complementary information from two modalities to generate images with enriched semantic content. However, existing methods often neglect two critical aspects: the design of a local–global feature enhancement architecture and spatial alignment. To address these challenges, we propose Channel Selective and Spatial Alignment Fusion (CSSA-Fusion), a novel framework composed of two synergistic modules. The first is a selective channel and redundancy suppression module, which introduces a dual-branch selective channel attention mechanism to jointly capture local saliency and global channel importance for enhanced feature representation, and an informativeness–redundancy separation strategy to suppress redundant information while preserving …

The Rise Of Parameter Specialization For Knowledge Storage In Large Language Models, Yihuai Hong, Yiran Zhao, Wei Tang, Yang Deng, Yu Rong, Wenxuan Zhang

Research Collection School Of Computing and Information Systems

Over time, a growing wave of large language models from various series has been introduced to the community. Researchers are striving to maximize the performance of language models with constrained parameter sizes. However, from a microscopic perspective, there has been limited research on how to better store knowledge in model parameters, particularly within MLPs, to enable more effective utilization of this knowledge by the model. In this work, we analyze twenty publicly available open-source large language models to investigate the relationship between their strong performance and the way knowledge is stored in their corresponding MLP parameters. Our findings reveal that …

Contx: Scene Context Prediction Via Context Bank And Layout Perception, Jingxin Liang, Yangyang Xu, Haorui Song, Yuan Lu, Yuhui Deng, Yiyi Long, Yan Huang, Shengxin Liu, Jianbo Jiao, Shengfeng He

Research Collection School Of Computing and Information Systems

Scene context prediction, which seeks to infer unknown contextual information from isolated object properties, currently faces limitations due to predominant reliance on pixel-wise supervision that overlooks real-world context priors. To address this, we present ContX, a context-prior-driven, coarse-to-fine model. ContX distinctively integrates explicit linguistic-contextual knowledge in two key ways. First, it proposes a linguistic guided context bank, leveraging linguistic-statistical contextual data to guide the rationality of segmentation shapes and foster meaningful inter-class contextual interactions. Second, ContX augments contextual comprehension by correlating layouts with linguistic descriptions, enhancing layout perception through a multi-modal strategy. Comprehensive experiments demonstrate ContX's superiority and versatility, outperforming …

Pilot-C: Physics-Informed Low-Distortion Optimal Trajectory Compression, Kefei Wu, Baihua Zheng, Weiwei Sun

Research Collection School Of Computing and Information Systems

Location-aware devices continuously generate massive volumes of trajectory data, creating demand for efficient compression. Line simplification is a common solution but typically assumes 2D trajectories and ignores time synchronization and motion continuity. We propose PILOT-C, a novel trajectory compression framework that integrates frequency-domain physics modeling with error-bounded optimization. Unlike existing line simplification methods, PILOT-C supports trajectories in arbitrary dimensions, including 3D, by compressing each spatial axis independently. Evaluated on four real-world datasets, PILOT-C achieves superior performance across multiple dimensions. In terms of compression ratio, PILOT-C outperforms CISED-W, the current state-of-the-art SED-based line simplification algorithm, by an average of 19.2%. For …

Dendrimer Gel Nanoparticles With Dual-Targeting Of Upar And Ribonucleotide Reductase R2 Influence Necrosis, Apoptosis, And Cell Cycle Arrest In Triple-Negative Breast Cancer, Hsin Yin Chuang, Yue-Wern Huang, Hu Yang

Biological Sciences Faculty Research & Creative Works

Triple-negative breast cancer (TNBC) is an aggressive breast cancer subtype with limited treatment options due to the absence of estrogen (ER), progesterone (PR), and human epidermal growth factor receptor 2 (HER2) receptors. We previously developed highly adaptable polyamidoamine (PAMAM) dendrimer-based gel nanoparticles (GDP-uPA/GTI) with dual-targeting capabilities against urokinase-type plasminogen activator receptor (uPAR) and ribonucleotide reductase R2 (R2) to achieve selective antitumor effects. In this study, we investigated the underlying mechanisms of GDP-uPA/GTI-induced tumor inhibition. In vivo, GDP-uPA/GTI significantly downregulated R2 expression and activated caspase 8 and caspase 3, indicating caspase-dependent apoptosis. Histological evaluation of major organs revealed no observable toxicity. …

Catalytic Synthesis Of Iron-Doped Graphitic Aerogels From Poly(Phloroglucinol-Terephthalaldehyde – Urethane) Precursors, Stephen Yaw Owusu, Rushi U. Soni, Chariklia Sotiriou-Leventis

Chemistry Faculty Research & Creative Works

We report a new class of graphitic carbon aerogel precursors based on iron oxide-doped poly(phloroglucinol-terephthalaldehyde–urethane) (T-POL/PU-FeOx) networks. The hybrid polymeric network incorporates a rigid aromatic triisocyanate, tris(4-isocyanatophenyl)methane, which reacts in situ with the hydroxyl groups of phloroglucinol to form a polyurethane-containing framework. Monolithic aerogels derived from this system undergo catalytic graphitization at significantly reduced temperatures (800–1500 °C) compared to conventional graphitization (2500–3300 °C). An oxidative ring fusion aromatization step (240 °C, air) prior to pyrolysis enhanced the degree of graphitization. The resulting graphitic aerogels were characterized by XRD, Raman spectroscopy, TGA, TEM, SEM, XPS, and N₂ sorption porosimetry. Compared to …

General Test-Time Backdoor Detection In Split Neural Network-Based Vertical Federated Learning, Shunjie Yuan, Xinghua Li, Xuelin Cao, Haiyan Zhang, Robert H. Deng

Research Collection School Of Computing and Information Systems

As a new distributed machine learning framework, vertical federated learning (VFL) has been widely applied in the industry. However, recent studies have demonstrated that VFL faces serious challenges from backdoor attacks, which significantly hinder its further development. Although a few studies have focused on defending against VFL backdoor attacks, these defenses either do not consider the latest attack methods or show limited effectiveness. Moreover, most existing backdoor defense efforts primarily focus on backdoor attacks in horizontal federated learning (HFL) and centralized learning. Due to the unique architecture of VFL models, these methods cannot be directly applied to backdoor defense in …

Kpiroot+: An Efficient Integrated Framework For Anomaly Detection And Root Cause Analysis In Large-Scale Cloud Systems, Wenwei Gu, Renyi Zhong, Guangba Yu, Xinying Sun, Jinyang Liu, Yintong Huo, Zhuangbin Chen, Jianping Zhang, Jiazhen Gu, Yongqiang Yang, Michael R. Lyu

Research Collection School Of Computing and Information Systems

To ensure the reliability of cloud systems, their runtime status reflecting the service quality is periodically monitored with monitoring metrics, i.e., KPIs (key performance indicators). When performance issues happen, root cause localization pinpoints the specific KPIs that are responsible for the degradation of overall service quality, facilitating prompt problem diagnosis and resolution. To this end, existing methods generally locate root-cause KPIs by identifying the KPIs that exhibit a similar anomalous trend to the overall service performance. While straightforward, solely relying on the similarity calculation may be ineffective when dealing with cloud systems with complicated interdependent services. Recent deep learning-based methods …