Digital Commons Network^™

Improved Method Of Evaluating Gas-Phase Air Cleaners Considering Adsorption And Desorption Mechanisms To And From Internal Test Chamber Surfaces, Casey Douglas Coffland

Dissertations and Theses

Portable air cleaners are playing an increasingly important role in managing indoor air quality in response to pressing issues like wildfire smoke events. Smoke is a complex mixture of gases and particulate matter; while established test methods exist for particulate matter, the dynamic behavior of gaseous pollutants is not well accounted for in current test methods. This is because prevailing air cleaner testing methods typically treat background losses as irreversible, whereas gases can engage in partitioning to and from test chamber surfaces. Ignoring these sorption interactions causes inaccurate estimation of an air cleaner's impact.

A new approach has been developed …

Evaluating The Reproducibility And Verifiability Of Nutrition Research: A Case Study Of Studies Assessing The Relationship Between Potatoes And Colorectal Cancer, Yasaman Jamshidi-Naeini, Colby J Vorland, Pranav Kapoor, Bailey Ortyl, Jocelyn Mineo, Luke Still, Korlu Sorsor, Shelby Rodney, Xander Tooze, Brent Flickinger, Beate Henschel, Stephanie L Dickinson, David B Allison

Faculty, Staff and Students Publications

The credibility of nutritional research is dependent on the rigor with which studies are conducted and the ability for independent assessment to be performed. Despite the importance of these, more work is needed in the field of nutrition to buttress the trustworthiness of nutrition research. To develop and apply a process for evaluating the rigor, reproducibility, and verifiability of nutritional research, using the relationship between potato consumption and Colorectal Cancer (CRC) as a case study. We updated existing systematic reviews to include studies on potatoes and CRC, assessing their design, execution, and reporting quality. We attempted to reproduce and verify …

Preparing Preservice Teachers: Developing Skills For Working With Students With Disabilities In The Social Studies Classroom, Melissa Waugh

USF Tampa Graduate Theses and Dissertations

This study was aimed towards investigating the extant research, best practices, and teacher preparation standards related to working with students with disabilities in the social studies classroom. The study was guided using three research questions: Are students with disabilities’ learning needs reflected in the National Council for Social Studies National Standards for the Preparation of Social Studies Teachers?; How do preservice social studies teacher programs prepare their candidates for teaching students with disabilities as evidenced by Social Science Education methods course syllabi?; and, What might a college-level course aimed towards social studies teaching methods centering around students with disabilities’ learning …

Movement Ecology And Population Dynamics Of Box-Nesting Black-Bellied Whistling-Ducks (Dendrocygna Autumnalis) In Louisiana, Katie E. Miranda

LSU Master's Theses

Understanding demographic and behavioral processes underlying population dynamics is essential for effective wildlife management, especially for species subject to harvest pressure or experiencing population shifts. Black-bellied Whistling-Ducks (Dendrocygna autumnalis) are currently undergoing a notable northward range expansion and are increasing in abundance across the southeastern United States, raising management concerns for both ecological and economic reasons. As a result, there is growing public support for a special Black-bellied Whistling-Duck-specific harvest season, yet little research has been conducted on this species, particularly within newly-established populations. To address this gap, I conducted this study with the goal of evaluating seasonal …

Risk-Aware Deep Reinforcement Learning In Portfolio Optimization, Shimin Zhang

USF Tampa Graduate Theses and Dissertations

Portfolio optimization is important in investment, with the purpose of maximizing profit whilemanaging risk. The traditional portfolio optimization method, Modern Portfolio Theory, is based on the assumption that returns are normally distributed, which is always violated in practical financial market settings. In addition, traditional approaches to portfolio optimization are mostly designed as static optimizations and fail to account for the nonlinearity and non-stationarity of contemporary financial markets. Recent developments in deep reinforcement learning have attracted considerable attention for treating portfolio optimization as a sequential decision-making process. Traditional portfolio optimization methods usually evaluate risk based on the variance of the returns. …

Reading Echoes Of Homer In Plato: Finding Philosophical Insights By Reading Plato's Dialogues As Poiēsis, Stephen R. Lasse

USF Tampa Graduate Theses and Dissertations

Reading Echoes of Homer in Plato: Assessing the legitimacy of the macro-level thesis that approaching Plato from the poetic tradition starting with Homer generates philosophical insights not available when reading his dialogues as the first installments in the Western tradition of philosophy. It begins by identifying equivocal nuances in the dramatic content of Plato’s dialogues that are left unexplored by the current standard approach that attributes a progressive developmentalist approach to Plato’s authorial intent before suggesting an alternative unitarian approach to Plato as an author who maintains an unchanged point of view throughout his corpus of work. It then identifies …

English Language Arts Teachers’ Perceptions Of Artificial Intelligence, Andrew J. Hookie, James P. Concannon

Mid-Western Educational Researcher

We explored secondary English Language Arts teachers’ perceptions of Artificial Intelligence in the classroom. Using a mixed methods research design process, one hundred and forty-one secondary teachers were surveyed from several urban and suburban school districts in the state of Missouri. Respondents were comprised of forty-three English Language Arts teachers and ninety-seven non-English Language Arts teachers. Data were collected using a Qualtrics survey, focusing on three variables: Experience, Knowledge, and Awareness of AI (EKA); Perceived Outcomes of Using AI (PO); and Perceived Ability and Self-Efficacy with AI (PA). Independent t-tests were conducted and revealed a statistically significant difference in AI …

My Mission Of Mercy, Eric Biagioli

Virginia Dental Journal

No abstract provided.

Don't Be Scammed, B Ellen Byrne Dds, Phd

Virginia Dental Journal

No abstract provided.

Ada Member Benefit- Tools To Navigate Ethical Conduct, Karen S. Mcandrew Dmd

Virginia Dental Journal

No abstract provided.

The Virginia Meeting 2013

Virginia Dental Journal

No abstract provided.

Dentists' Attitudes Regarding Diagnostic Codes In Dentistry, Mary A. Baechle Dds, Robert B. Allen Dds, Al M. Best Phd

Virginia Dental Journal

No abstract provided.

Letters To The Editor

Virginia Dental Journal

No abstract provided.

Va Dent J July, August And September 2013

Virginia Dental Journal

No abstract provided.

Actions In Brief Of The Board Of Directors June 21, 2013

Virginia Dental Journal

No abstract provided.

Money And Politics, Bruce Hutchison Dds

Virginia Dental Journal

No abstract provided.

Letters To The Editor

Virginia Dental Journal

No abstract provided.

Va Dent J October, November And December 2013

Virginia Dental Journal

No abstract provided.

Visionarium, June 2026, Full Issue

International Journal of Emerging and Disruptive Innovation in Education : VISIONARIUM

No abstract provided.

Toward A Metric For Disciplinary Learning In The Age Of Ai: The Unblooms™ Metacognitive Awareness Scale And Discernment Rate In Ai-Mediated Learning, Tina R. Austin

International Journal of Emerging and Disruptive Innovation in Education : VISIONARIUM

Telling students to “reflect on their own thinking” has become insufficient in AI-mediated learning environments. When students are rewarded for polished outputs, cognitive offloading to AI tools becomes rational, and traditional snapshot assessments (single-moment evaluations of task completion) produce false signals about whether durable learning has occurred. This problem is sharpened by the broader shift in AI learning tools toward Socratic tutors, study modes, Khan Academy's Khanmigo, and agentic systems that can shape the learner’s process over time. Lodge and Loble (2026) distinguish beneficial cognitive offloading, which frees working memory for intrinsic learning, from detrimental outsourcing, which bypasses the cognitive …

Metacognition As Disciplinary Infrastructure In Ai-Mediated Learning, Tina R. Austin, Jason Gulya, Nick Potkalitsky

International Journal of Emerging and Disruptive Innovation in Education : VISIONARIUM

Metacognition is often presented as a response to generative AI’s disruption of teaching and learning, yet the term has become too generalized to guide practice. In AI-mediated environments, asking students merely to “reflect on your thinking” is insufficient. Because AI tools can redistribute cognitive labor, their educational value depends on how students use them and whether that use supports disciplinary forms of reasoning. This essay argues that metacognition must be understood as disciplinary infrastructure: students cannot effectively monitor their thinking without understanding the epistemological and ontological demands of the field in which they are working. Classrooms therefore become sites where …

Law Or Flaw: A Double – Blind Study Comparing Student Comprehension Of Real And Ai Generated Legal Case Briefs, Grant Shostak, Nick Wintz, Melissa A. Petkovsek

International Journal of Emerging and Disruptive Innovation in Education : VISIONARIUM

In recent years, the U.S. legal system has seen an increase of legal filings using fictitious court cases or legal propositions generated by artificial intelligence (AI) (Stokel-Walker, 2026). Rules of professional responsibility require that lawyers review filings in which AI was used to ensure their accuracy (Missouri Bar, Office of Legal Ethics Counsel, 2024, Opinion No. 2024‑11) Despite this mandate, filings with fictitious cases and incorrect statements of law are being filed. Besides posing a threat to the parties to an action, such filings may set an unwarranted precedent for future cases. They also tie up court resources searching for …

Reflexivity As A Metacognitive Skill: A Conceptual Triadic Learning Alliance Framework For Ethical Human-Ai Collaboration In Education, Jennifer Young

International Journal of Emerging and Disruptive Innovation in Education : VISIONARIUM

As artificial intelligence (AI) is integrated into education and workforce development, the ability to engage reflexively with technology may represent an emerging metacognitive skill. This paper conceptualizes reflexivity as an intentional, cyclical process of recognizing assumptions, reflecting on human-AI interactions, and responding with ethical discernment. Drawing from counselor education and supervision models that emphasize self-awareness and metacognitive reflection, the paper proposes a conceptual framework for cultivating ethical reflexivity in AI-augmented learning and decision-making environments. Through conceptual analysis and integration of the Triadic Learning Alliance (TLA) model, the framework identifies potential strategies for professionals and students to monitor cognitive biases, critically …

Disciplining The "Unrestrained" Child Through Moral Rectification: The "Civilizing" Role Of The Us Educational System, Unleashing An Era Of Assimilation, Urnisha Dutta

Impact: A Journal of Community and Cultural Inquiry in Education

Moral education in the US frequently has centered on cultivating “civic sense” and developing citizens who are morally akin to the dominant culture’s ideals. Although implemented as preventive measures (to avoid an otherwise inevitable suspension), these interventions are colored with dominant cultural sentiments that visualize differences as immoral. The idea of disciplining the “unrestrained” child thus aligns with a Western historical “civilizing” mission that aims at creating “moral citizens” through cultural erasure and behavioral transformation. This article discusses the unpleasant reality of moral education in the US educational system, demonstrating an inherent acculturation politics underlying behavior rectification initiatives. The essay …

Zero-Tolerance Discipline In American Schools: Racial Injustice In The Age Of Youth Disposability, Trinity J. Perkins

McNair Scholars Research Journal

This study critically examines how neoliberal social controls and school-based criminalization efforts emerged in response to a series of moral panics surrounding perceived increases in school violence and mass shootings. Largely, this response manifested in the form of rigid zero-tolerance disciplinary policies focused on deterrence and retribution. However, research reveals the application of these policies produce racial and income-based disparities in how school discipline is administered, which contributes to the school-to-prison pipeline (i.e., a pathway for youth to be funneled out of education and into incarceration). As such, it is believed that racial threat dynamics may be contributing to the …

The Energy Consumption Of Artificial Intelligence And Sustainable Strategies For Reducing Its Environmental Impact, Haley M. Johnson

McNair Scholars Research Journal

Artificial Intelligence (AI) is swiftly transforming the world, yet its environmental impact is often unknown. Training AI models, deploying AI models, and storing large volumes of AI’s data in data centers all contribute to both positive and negative environmental outcomes. While many studies highlight the benefits of AI, there are also a few that address how AI’s widespread use results in unsustainable environmental impacts. This literature review investigates the negative environmental impacts of AI, including environmental degradation, increased energy consumption, and carbon emissions. From the rise of unpredictable weather and natural disasters, to the melting of icebergs, the impact of …

Neural Network Model Watermarking Using Quantized Least Significant Bits And Pseudorandom Error-Correcting Codes, Ranjit Kumaresam, Srinivasan Raghuraman, Ka Log Ng

Defensive Publications Series

The present disclosure relates to watermarking techniques for neural network models that embed verifiable ownership information into model parameters. In one aspect, floating-point weight parameters are quantized and least significant bits are biased during rounding such that the bits collectively encode a pseudorandom error-correcting code derived from a digital signature of a model owner. In another aspect, a pseudorandom codeword generated from the digital signature is directly embedded by replacing least significant bits of quantized weight parameters. In both cases, the watermark is cryptographically verifiable and remains detectable even after model perturbations, fine-tuning, or partial retraining. Ownership verification is performed …

Hybrid Offline-To-Real-Time Architecture For Context-Aware Keyword Insertion, Karen Yao, Indu Ramamurthi

Defensive Publications Series

A Hybrid Offline-to-Real-Time Architecture generates context-aware ad copy while meeting the latency constraints of live ad auctions. In an offline phase, a large language model (LLM) analyzes a product catalog to pre-generate ad copy templates that contain semantic placeholders. During the real-time ad auction, a lightweight engine parses a user’s search query to extract contextual intent. The system then selects an appropriate template and injects the extracted intent into the placeholders to assemble the final ad copy. This two-pass approach decouples the computationally intensive LLM generation from the time-sensitive ad serving process, providing the semantic quality of LLM-generated text at …

Non-Semantic Safety Gates: A Closed-Loop Framework For Agentic Software Evolution, Santosh Kumar Kvs

Defensive Publications Series

A system for validating AI-generated code in a shadow execution environment prior to production deployment includes an AI agent configured to receive an intent from a user device and generate a code package based on the intent, a deployment controller communicatively coupled to the AI agent and configured to receive the code package, a shadow sandbox 105 communicatively coupled to the deployment controller and configured to receive the code package, execute the code package in an isolated environment while mirroring production traffic, and generate telemetry data based on execution of the code package, wherein the telemetry data comprises kernel-level metrics …

Learning Trajectories Of Online Batch Selection Methods, Luke Green

Theses and Dissertations

Modern deep neural networks achieve strong performance on large-scale datasets, but often require substantial training time. Online batch selection methods seek to reduce this cost by updating models on informative subsets of each batch rather than on all available examples. Recently introduced methods leverage teacher models and report substantial speedups, particularly in noisy-label settings. However, comparisons are often based on the number of epochs required to reach a target test accuracy, a coarse metric that is sensitive to implementation details and may obscure important differences in learning dynamics. In this thesis, we implement several online batch selection methods in a …