Digital Commons Network^™

A Zero-Data Paradigm For Autonomous Llm Agent Evolution Via Tool Interaction, Johny Manuel-Devadoss

Defensive Publications Series

Current LLM agents exhibit limited capacity for sustained self-improvement without external data or retraining. Existing approaches—such as reflective memory systems, self-generated tasks, and recursive agent rewriting—demonstrate incremental gains but remain bounded by static representations and brittle feedback loops . This paper introduces Chrono-Semantic Self-Distillation (CSSD), a novel architecture in which agents restructure their internal reasoning space through temporally layered tool interactions, forming emergent meta-representations that function as synthetic priors. The system enables continuous performance improvement without additional datasets, gradient updates, or external supervision.

Personalized Offline Tool Implementation For Large Language Models Via Usage Grounding, Victor Carbune, Florian Hartmann

Defensive Publications Series

Large language models often utilize external tools through programming interfaces to solve complex tasks. While small language models can be executed on local devices, the associated tools typically reside on remote servers, which prevents offline functionality and introduces latency. A method is disclosed for porting online tools to local implementations by grounding the porting process in specific user usage patterns. Actual tool usage is monitored to record a distribution of inputs and outputs. Based on this recorded distribution, simplified tool variants are synthesized using techniques such as zero-shot prediction, few-shot learning, or the generation of local executable code. These alternative …

Herbularyo (Folk Healer): An Herbal Medicine Card Game, Maryjane T. Magsino, Inah Marie Q. Rivera, Armando M. Guidote, Genejane M. Adarlo

Chemistry Faculty Publications

Herbularyo, a card game teaching about herbal plants (HPs), was created and evaluated as a viable educational card game based on Tuomisto and Aksela’s criteria. A quasi-experiment was performed on 81 Grade 8 students from a private high school and 50 Grade 11 from a public high school. Independent t-test revealed that the control group (CG) and experimental group (EG) (p=0.386), and EG1 (played ≤5) and EG2 (played >5) (p=0.681) are not comparable with each other. Paired t-test showed EG performed better (p=0.001) than CG (p=0.901) whereas ANCOVA showed that playing Herbularyo improved students’ information retention (p=0.006). EG1 and EG2 …

How To Motivate Hispanic And Latinx Elementary Students To Bridge English Language Proficiency Gaps In A Classroom, Brianna D. Uriostegui

Masters Projects

Limited resources, culturally unresponsive teaching practices, and wide differences in language proficiency levels across classrooms and schools impact minority, diverse students. These issues also affect language classroom teachers responsible for students' language proficiency. This project delves deeper into one marginalized group, Hispanic and Latinx students, by going over the history and challenges this specific group faces. This project also discusses strategies that motivate Hispanic and Latinx students in developing English language proficiency while valuing their linguistic and cultural identities.

Pest Risk Modelling For Climate-Smart Vegetable Production In East Africa, Marc Marin Agbodjan, Komi Mensah Agboka, John Odindi, Elfatih Abdel-Rahman, Onisimo Mutanga, Frank Chidawanyika, Chrysantus Tanga, Daniel Munyao Mutyambai, Sevgan Subramanian, Bonoukpoè Mawuko Sokame

All Peer-Reviewed Publications

Agricultural productivity in East Africa is increasingly threatened by climate-sensitive insect pests. This study investigates the occurrence of key vegetable pests: Brevicoryne brassicae, Plutella xylostella, Maruca vitrata, and Liriomyza mik. A comparative species distribution modelling evaluated pest risk projections under climate change. Four variable selection strategies were tested: case 1 (correlation and variance inflation factor [VIF] filtering across all predictors), case 2 (correlation and VIF filtering of bioclimatic variables merged with other predictors), case 3 (filtering based on environmental values at species occurrence point to approximate realized niches), and case 4 (dimensionality reduction using principal component analysis). These strategies were …

A Two-Phase Perspective On A Related-Rates Paradox, Charlie Vazquez Acosta

Honors Capstones

Related-rates problems are a standard topic in first-year calculus and have appeared in textbooks for over 150 years. These problems are used to teach implicit differentiation and the relationship between changing quantities. Common examples include the falling ladder, the fishing bobber, the melting snowball, and the leaking conical tank. In each of these problems, a quantity is changing at a constant rate, and students are asked to find the rate of change of another related quantity. While the computations themselves are usually straightforward, the standard models lead to unrealistic results near the end of the motion. For example, the falling …

Implementation Of Wellness Activities In An Experiential Rotation To Promote Pharmacy Student Well-Being, Neeloufar Fakourfar, Brenda Kilzi, Reza Taheri, Richard Beuttler, Hindu Rao

Pharmacy Faculty Articles and Research

Background

Educational activity

Numerical–Machine Learning Hybrid Framework For Forecasting Multi-Phase Flow Dynamics In Deep Wellbores, Raghad S. Shamsah, Farhan Lafta Rashid, Mudhar A. Al-Obaidi, Ahmed N. Al-Dujaili

Warith Scientific Journal of Engineering and Technology

The Conventional models do not usually reflect the intricate relationships between the fluid characteristics, wellbore geometry, and operating flow parameters in the deep wellbores, which becomes a major issue in the extraction of hydrocarbons, where the unexpected behavior of the flows (bubble, slug, annular) can cause the efficiency and integrity of the equipment to be compromised. This problem has been tackled by developing a new neural network-based method that incorporates mathematical models and machine learning in this paper to identify the flow patterns and optimize the production parameters. It is an experimental study, where 12 input variables are used (e.g., …

Executive Committee - Minutes, 05/05/2026, Academic Senate

Academic Senate Minutes

No abstract provided.

Integrating Movement In Elementary Classrooms: Teacher Perceptions And Student Benefits In A Kindergarten Setting, Ferriday R. Green

Honors Theses

Movement integration has been shown to positively influence elementary students’ cognitive performance, engagement, and on-task behavior; however, its use in classrooms remains inconsistent due to various teacher-perceived barriers. This qualitative study investigates the challenges teachers face when implementing movement integration in elementary classrooms and examines whether access to structured, movement-integrated lesson plans influences instructional practices. The study was conducted with one kindergarten teacher at Lafayette Elementary School. Data were collected through two semi-structured interviews—one conducted prior to implementation and one following a two-week intervention period during which the teacher implemented pre-developed, movement-integrated lesson plans aligned with required academic standards. Interview …

Oxide Failures In Sic Power Mosfets, Kate L. Smith

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

Ramp to breakdown (RTBD), constant voltage time dependent dielectric breakdown (CVS-TDDB), and low-field long term (LFLT) tests were performed on commercially available silicon carbide MOSFETs from four manufacturers in discrete, TO-247 packaging (A, B, C, and D). Voltage and temperature stress factors are examined for their impact on oxide breakdown. “High temperature gate bias stress test of silicon carbide MOSFETs from multiple manufacturers were performed. It was found that some extrinsic oxide failures are an ongoing problem. The results of the tests and lifetime analysis are presented” (Oxide Failures in SiC Power MOSFETs).

Host Genetic Variation And Environmental Stress Shape Microbiome Assembly And Host–Microbe–Pathogen Dynamics In Drosophila, Nitin Bansal

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

Host-associated microbiomes play central roles in host physiology, development, and susceptibility to disease, yet their composition and stability vary widely across genetic, environmental, and ecological contexts. Understanding the factors that shape microbiome structure remains a key challenge in host–microbe biology. This thesis examines how host genetic background and environmental perturbations independently influence gut microbiome composition in Drosophila, and uses mechanistic modeling to explore how microbial dynamics can affect pathogen invasion outcomes.

In Chapter 1, I investigate how mito-nuclear genetic variation influences gut microbiome structure across developmental stages and generations. Using 16S rRNA sequencing, I show that microbiome composition differs between …

Perceptions And Factors Influencing Middle School Teachers’ Use Of Gamification, Crystal D. Purvis

Walden Dissertations and Doctoral Studies

No abstract provided.

“Overworked, Undernourished, And Weak In The Eyes”: The Portrayal Of Librarians In Comics, Alessandro Camarra

Staff publications

Librarians and library workers have frequently appeared as characters within the medium of comics, perhaps more so than people realize. While the discussion usually begins and ends with Barbara Gordon/Batgirl, the number of examples that can actually be found is astoundingly vast.

Whether they are fictional beings wholly created by the artists, or based on real-life individuals, librarians represent a standard archetype within popular culture that creators often reference in order to convey a specific image to their audience. Usually, but not always, this involves an emphasis on negative stereotypes associated with the profession: demanding silence from patrons, outdated modes …

Sustainability In The Fashion Industry: Environmental Effects & Analyzing Innovative Approaches To Reducing Environmental Impact While Maintaining Profitability And Effectiveness, Haley Castillo Rebollar

Senior Honors Theses

The fast-fashion business model has several severe environmental impacts, including resource overconsumption, chemical pollution, greenhouse gas emissions, and solid waste consumption. Hence, the sustainable fashion alternative is questioned as to whether it can be applied with recoverable economic value and limited consequential impact when considering novel approaches in business model innovation, supply chain transformation, and the adoption of digital technologies. Evidence suggests that sustainability and profitability need not be mutually exclusive when strategic intervening actions are effectively managed. The set of principles of the circular economy, sustainable enterprise architecture frameworks, green supply chain management, advanced systems of forecasting, and three-dimensional …

Radar Spoofing Attacks And Their Impact On Sensor Fusion-Based Perception For Autonomous Vehicles, Ahmad Mohammed Bara

Student Theses

Safe autonomous vehicle (AV) operation depends on robust perception of the surrounding environment. While multimodal sensing—integrating cameras, LiDAR, and radar—provides comprehensive environmental awareness, radar’s robustness under adverse conditions has made it a critical component of modern perception pipelines. However, the security vulnerabilities of radar within these fusion architectures remain largely unexplored. This work presents an end-to-end analysis of radar spoofing attacks on learning-based radar–camera fusion systems. Using a simulation framework grounded in reflect-array attack models, we inject physically plausible perturbations into radar measurements by altering depth by and velocity, while maintaining crossmodal consistency. Evaluation on the nuScenes dataset shows that …

Substantive Biases? Analyzing Ideological Bias In Substantive Due Process Claims On The Roberts Court, Nicholas J. Ginsberg

Undergraduate Honors Theses

This thesis examines whether judicial ideology has a stronger influence on Supreme Court decision making in substantive due process claims when compared to other areas of law through the Roberts Court. Previous scholarship has noted that ideology is a factor in judicial decision making, however, there is little scholarship on if specific areas of law makes ideology play a larger factor in decision making. Utilizing justice-level voting records from the Roberts Court and Segal-Cover scores to measure judicial ideology, a logistic regression model is utilized to analyze the relationship between ideology and voting behavior in substantive due process cases and …

Online Legislation: Developments And Trends In Data Privacy And Software Development, Garrett J. Splinter

Honors Program: Senior Projects (Public)

The increasingly relevant interaction between the law and data privacy, as well as compliance requirements enforced by the United States, is currently in a state of transition. Various states, such as California, Colorado, Connecticut, Nebraska, and many others, all have passed legislation with varied requirements and definitions that make for a challenging framework in which software developers operate, as the universal nature of the internet renders their compliance with current legislation a challenge. Enforcement also tends to be relatively relaxed in most modern examples, though it has escalated after 2020, and this trend may continue in the future, lending credence …

Data-Driven Decision Making In Digital Platforms, Zhiqi Zhang

Olin Business School Graduate Student Theses and Dissertations

This dissertation investigates the methodological foundations and empirical applications of data-driven decision-making within digital platforms. By integrating causal inference, deep learning, and structural modeling, the following chapters develop rigorous frameworks to optimize platform interventions while providing formal theoretical guarantees for policy performance and how recommendation systems influence user behavior, creating broader impacts on content consumption and production beyond immediate engagement metrics. In Chapter 1, “Personalized Policy Learning through Discrete Experimentation: Theory and Empirical Evidence,” we note that randomized control trials (RCTs) on these platforms typically cover a limited number of discrete treatment levels, while the platforms increasingly face complex operational …

The Economics Of Technical Debt: Venture Capital, Cybersecurity, And Engineering Quality, Joao Henrique Avila Alves Dimas

Olin Business School Graduate Student Theses and Dissertations

This dissertation studies the economic consequences of technical debt—the accumulated cost of expedient engineering decisions in a firm’s software codebase—and how external forces shape it. Using direct codebase analysis of over 80,000 monthly snapshots from 600+ open-core technology firms (2010–2025), I develop the first dollar-denominated measure of technical debt in the finance literature and apply it across two empirical settings. Chapter 1 examines whether venture capital monitoring extends to firms’ technical practices. Using a stacked difference-in-differences design around first VC entry (225 treated firms, 330 controls, 85 cohorts), I find that VC-backed firms reduce critical code defect density by 24% …

Messages From The Provost, Georgia Southern University

Messages from the Provost

• Message from the Provost

• Georgia Southern Recognized as Top Place to Work

• Dr. Jennifer Schroeder to Lead Graduate Education

• Graduate Student Earns National Fellowship for Clean Energy Research

Impact Of Intravenous Thrombolysis On Aspiration Thrombectomy Outcomes: An Imperative Trial Subgroup Analysis, Yi-Qian Qian, Yan Wang, Soumya Mohanty, Siyuan Chen

Physics & Astronomy Faculty Publications

Bayesian methods for the detection of continuous gravitational waves (CGWs) in pulsar timing array (PTA) data incur substantial computational costs that grow rapidly due to the number of noise and signal parameters characterizing the fitted model being proportional to the size of the PTA. This computational burden limits the scalability of these methods for large-scale PTAs comprising hundreds of pulsars anticipated from next-generation radio astronomy facilities. In this work, we introduce a computationally efficient frequentist method designed to circumvent this challenge. This is achieved by combining an adaptive spline fitting algorithm that nonparametrically suppresses red noise, thereby eliminating the need …

Analysis Of Approximations In Flash Thermal Diffusivity Measurements Using High‑Fidelity Simulations, Tage T. Burnett, Jakob G. Bates, Matthew R. Jones, Christopher R. Dillon, John Tencer

Faculty Publications

Thermal diffusivity is an important material property for understanding and characterizing transient behavior in many heat transfer applications. This study investigates the accuracy and approximations of inverse mathematical models for measuring thermal diffusivity of materials via the widely used Flash Method. High-fidelity simulations of the Flash Method in copper, silicon carbide, silicon, and glass were performed as numerical experiments and included physics such as in-depth absorption, radial conduction, and surface convection. Data from those numerical experiments were used to estimate material thermal diffusivity using seven traditional and new inverse models. Parker’s original model had relative errors 𝜖< 5% when the approximations it makes were enforced in numerical experiments. Newer models performed well even when experimental restrictions were relaxed. Models that include radial heat conduction were capable of accurately measuring thermal diffusivity (𝜖< 1%) when a Gaussian energy source was used. Models with radial conduction and in-depth material absorption of the laser source could calculate thermal diffusivity for semi-transparent materials such as silicon (𝜖< 1%) and even transparent materials like glass (𝜖< 10%). Convective losses from the material’s front surface had a negligible impact on measurements except for very low thermal diffusivity materials. Using temperatures from many locations of the test material’s surface increased resilience to noise, reducing the distribution of thermal diffusivity measurements by more than an order of magnitude. The models developed in this study could enable a more relaxed Flash Method experimental setup that maintains thermal diffusivity accuracy and extend the utility of the Flash Method to semitransparent materials.

Contemplative Classrooms For Ecological Wisdom: Reimagining K-12 Education In Pakistan, China, And Beyond, Maha Shoaib, Jing Lin, Yueyue Wang

Journal of Contemplative and Holistic Education

This paper explores the transformative potential of contemplative environmental education in addressing the growing disconnection between humans and the natural world, particularly within K-12 education systems shaped by anthropocentric and capitalist paradigms. Modern schooling often frames nature as an object of study, rather than a sacred, living presence, contributing to ecological alienation amid intensifying environmental crises. We propose a radical shift toward contemplative, holistic education that draws on spiritual, Indigenous, and ecological knowledge systems. Grounded in Daoist philosophy, Islamic teachings on stewardship, Hindu ethics, and Indigenous worldviews, we reimagine education as a relational and sacred engagement with the Earth. We …

Challenging Stem Learning Spaces: The Paradigm Of Contemplative Traditions As The Bedrock Of Creativity And Healing, Raaghav Pandya, Christopher Emdin

Journal of Contemplative and Holistic Education

As the post-pandemic classroom and pedagogy evolve to remedy oppressive norms, young people’s mental health and alienation has taken front stage (Rahmani & Zitouni, 2022). Traditional STEM learning spaces often teach inquiry as a linear, non-deviated approach to problems about self and nature (Hrisa & Psillos, 2022). Furthermore, because our classrooms often strip students and educators of their inherent creative abilities through constant assessments, improvement scales, and market-driven expectations, classrooms cease to become places of healing (Pandya, 2021). Eastern wisdom traditions and their associated philosophies provide a unique pedagogical lens that emphasizes a deep inquiry into self, empathy, and creativity …

Beyond Coping In High School: An Emergent Mindfulness Practice Towards Embodied Wisdom, Mel A.V. Voulgaris

Journal of Contemplative and Holistic Education

Mindfulness practice is trending in schools. Within secondary education, it is oftentimes introduced as meditation for present-moment awareness of the self to support academic concerns. However, mindfulness practice in its original conception is a holistic way of cultivating human well-being towards flourishing. It is a practice that aims for awareness to the entirety of human subjective and intersubjective experiencing as it is emerging. In doing so, mindfulness evolves from a coping tool into a rich contemplative practice. This paper will make the case that mindulness as a contemplative practice facilitates the cultivation of embodied wisdom and that such a practice …

The Wisdom-Centered Classroom: Contemplative Pathways To Healing, Interbeing, And Peace In K–12 Education, Hyeyoung Bang, Jing Lin, Heesoon Bai, Deepa Srikantaiah, Charles Scott, Denise L. Mchugh

Journal of Contemplative and Holistic Education

While contemporary educational goals often prioritize economic advancement and labor-market readiness, a profound need exists to re-center schools as environments that nurture the human spirit. Education should move beyond standardization, cultivating schools where students embrace their inherent worth, relate with empathy and kindness, and develop as compassionate citizens regardless of their background. At the Journal of Contemplative and Holistic Education (JCHE), we contend that the cultivation of wisdom must be a primary educational aim. This special issue explores contemplative K–12 pedagogies, inviting experts to examine the realities, possibilities, and systemic challenges of Contemplative Education (CE) from diverse global and Indigenous …

Ai Powered Student Support And Development Platform, Wadha Alyammahi

Thesis/ Dissertation Defenses

Over the past few years, academic stress and the issue of mental well-being of students has become a pressing issue in the context of educational settings, influencing academic achievements and the general quality of life to a considerable extent. There is a growing use of digital platforms by students as a source of academic support, but most of the solutions available do not support the emotional state of the users or offer any other personalized and context-sensitive support. To address this difficulty, this paper introduces the design and development of a stress-aware conversational support system of students using advanced natural …

Sliding A Convex Set Under A Convex Function, Julia Williamson

Undergraduate Research and Engagement Symposium

An existing form of approximating a non-differentiable function, f, is to slide a convex set, A, along the graph of f and take the lower boundary to form a differentiable function g. Our work reveals that sliding a convex set, A, under the graph of f gives the same approximation function, g, as sliding the set A-A along f. Additionally, sliding a convex set, A, under f is the same as sliding -A under f, or A-A along f. Due to this, if A is smooth from above or below, the approximation function g is essentially differentiable.

Femininity And Dateability: A Look At The Perception Of Asian Faces, Grace Yang

Caravel Undergraduate Research Journal

Over the last decade, Asian Americans are the fastest growing ethnic group in the United States (Lam, 2016), and the visibility of Asian influence on popular culture has increased as well (Jin & Yoon, 2017).  As a fast-growing minority community, the Asian community has been relatively overlooked in studies about attraction and the effects of ideals of masculinity. The aim of the current study was to investigate factors that influence the perception of the Asian and non-Asian faces with respect to attractiveness, dateability and masculinity.  The current literature suggests that both Asian men and women are stereotyped to be relatively …