Digital Commons Network^™

First Course Portfolio For Plpt 803 Fundamentals Of Scientific Discovery, Hernan Garcia-Ruiz

UNL Faculty Course Portfolios

PLPT 803 Fundamentals of Scientific discovery is a new curse in the Department of Plant Pathology at the University of Nebraska-Lincoln. I designed and developed this course from the ground up. Initially, it was offered as a special topic (PLPT 892-014) for four years. PLPT 803 was approved by the College of Agricultural Sciences and Natural Resources curriculum committee in September of 2025. PLPT 803 is unique within the University of Nebraska system and will be offered for the first time in the fall of 2027. The course is designed for students to learn fundamental scientific skills such as scrutinize, …

The Meaning Of Ai And Its Implications For Antitrust Law, Giovanna Massarotto

Seton Hall Law Review

No abstract provided.

Harnessing Story To Overcome The Double Empathy Problem Between Autistic And Neurotypical People: Brain-Behavior Relationships, Kate Gifford

Theses and Dissertations

There is a dearth of information on the physical aspects of the Double Empathy Problem which is the bidirectional challenge of shared empathy and understanding between autistic and neurotypical individuals. Storytelling has been shown as means to facilitate empathy between storytellers and listeners in both neurotypical and autistic populations through behavioral research. Functional near-infrared spectroscopy (fNIRS) is a neuroimaging technique used to evaluate the hemodynamic response in the cortex and can be used to compare hemodynamic responses across multiple individuals (i.e., hyperscanning). The purpose of this study was to examine activation in empathy-related brain regions and assess brain synchrony between …

Generating Live Heatmaps Of Edr Data Through A Spatiotemporal Weighting, Joel T. Williams, C. Sean Bohun, Alberto Fornaci, Michael R. Lindstrom

School of Mathematical & Statistical Sciences Faculty Publications

This paper introduces a novel method for generating live heatmaps of eddy dissipation rate (EDR) data through a spatiotemporal weighting designed to enhance turbulence visualization in aviation. As more flight data become available, approaches relying solely on in-flight EDR measurements have the potential to accurately nowcast and visualize turbulence with low computational cost. The proposed method significantly improves the turbulence visualization capabilities of common commercial aircraft. This is particularly valuable for pilot decision-making and trip planning, enhancing flight safety and operational efficiency. This approach also incorporates an innovative uncertainty threshold, which refrains from predicting when there are insufficient data, thereby …

Social Influencers Reduce Infection Burden And Modify Epidemic Lag In Group-Structured Populations, Aja Sutton, Adam Z. Reynolds, Matthew A. Turner, James Holland Jones

Publications, Reports and Presentations

The impact of online social influence on social learning, health behaviour and population health is a new, rapidly developing area of study. Previous research focused specifically on digital influencers suggests they may be able to affect group-level diffusion of health-protective behaviours such that they modify epidemic outcomes. However, formal models have yet to test the intuitive hypothesis that the effect of digital influencers is sufficient to generate tangible real-world effects on epidemics. We develop an agent-based model that incorporates digital influencers into an epidemic scenario to test hypotheses about how competing influence messages affect the diffusion of health-protective behaviours throughout …

Recruitment And Retention In Action: A Reflection On The Teacher Ambassador Program, Samantha L. Strachan, Nathan Blom, Kelli Bain

The Journal of Advancing Education Practice

As teacher preparation programs across the United States grapple with declining enrollments, institutions such as Alabama A&M University are exploring unique approaches to improving university students’ interests in the teaching profession. One such approach is the Teacher Ambassador Program (T.A.P.), a student-led initiative that empowers current teacher candidates to serve as leaders in the recruitment and support of others who are currently pursuing teaching degrees or who are interested in entering the teaching pathway. This piece provides an overview of the Teacher Ambassador Program (T.A.P.) and reflects on how the program can benefit both students and institutions.  

Learning From Planet Krypton - Building Faculty Efficacy To Remove Barriers To Neurodiverse Student Success, Anna Weisling, Nina F. Weisling

The Journal of Advancing Education Practice

There are an increasing number of students with Autism, ADHD, and other neurodiversities attending institutions of higher education. Unfortunately, most higher education faculty do not receive formal training or support around the skills, knowledge, and pedagogy needed to effectively design and implement instruction that removes barriers to accessing the post-secondary curriculum. This was the case for the first author, a content expert with a Ph.D. in Digital Media. She engaged author two, who holds a Ph.D. in Special Education, to discuss ways to more effectively support her neurodiverse college students. What emerged was a duoethnographic research study, followed by thematic …

An Exploration Of The Intersection Of Artificial Intelligence And Speech-Language Pathology -- Potential Impacts, Manish K. Rami

Internet Journal of Allied Health Sciences and Practice

Purpose: This paper explores the potential impact of Artificial Intelligence (AI) on the profession of Speech-Language Pathology (SLP). AI is widely recognized as a transformative force, presenting opportunities across both service delivery and professional practice in SLP. Method: The analysis employs the American Speech-Language-Hearing Association's  Scope of Practice in Speech-Language Pathology as an organizing framework to systematically evaluate AI applications across professional and service delivery domains. Within each domain, the study identifies emerging use cases, evaluates the capacity for AI technologies to automate or augment clinical processes, and examines broader implications for the profession, with particular attention to anticipated changes …

Robust And Efficient Trajectory Tracking For Robotic Manipulators Via An Optimally Tuned Adaptive Integral Sliding Mode Controller, Tareq A. Sultan, Abbas H. Issa, Layla H. Abood

Engineering and Technology Journal

A robust Optimized Adaptive Integral Sliding Mode Controller (OAISMC) is proposed for high-precision trajectory tracking and chattering suppression of a 3-DOF where high decoupling rigid multi-body dynamics robotic manipulator in the presence of nonlinearities, parametric uncertainties, and external disturbances. The controller is designed to overcome strong joint coupling around an integral sliding surface, which eliminates the reaching phase and ensures robustness throughout the entire operation. Adaptive laws are incorporated to update the switching gains online without requiring a priori knowledge of disturbance bounds. The free design parameters of the controller are optimally tuned using the Osprey Optimization Algorithm (OOA) and …

Hr Analytics: A Bibliometric Analysis Using Web Of Science (Wos) Database And Exploring New Horizons, Akanksha Srivastava, Ram Singh

Management Dynamics

Purpose: Recent years have seen a rise in popularity for the study of human resource analytics, which is a relatively young field of study. The research that has been done in this area is advancing and will open new avenues for future investigation. The paper discusses the theoretical foundations upon which the operation of HR analytics is based.

Methodology: The paper gives insight into the publications, authors, keywords, nations, references, and journals of the studies by employing Bibliometric analysis. Overall, 210 publications that were published between 2012 and 2022 were considered all were research articles for the present study. For …

Breadquest: Enhancing Roguelike Accessibility Through Procedural Generation And Thematic Design, Hahns Pena

Computer Science and Software Engineering

BreadQuest is a top-down roguelike dungeon crawler with a whimsical dessert theme that aims to make the genre more accessible while preserving strategic depth and replayability. Players explore procedurally generated dungeons, fight pastry-themed enemies, and collect bakery-inspired items that support a flavor-elemental combat system, with each run offering unique layouts, encounters, and rewards. Built in Unity with a modular, data-driven architecture, the game uses procedural generation techniques like Binary Space Partitioning, Voronoi diagrams, and Perlin noise to create varied and replayable levels. The project emphasizes approachable gameplay, cultural dessert inspiration, and replayability, with success evaluated through playtesting and player feedback.

Active Galaxies In A New Light: The Broad Line Region In The Near-Infrared, Sky O'Donnell

Physics

At the center of most massive galaxies, there is a supermassive black hole with a mass millions to billions of times that of the Sun. In some of these galaxies, so-called Active Galactic Nuclei (AGNs), the supermassive black hole is converting the gas that falls toward it into radiation energy, creating large amounts of luminosity. AGNs are composed of the central supermassive black hole, its accretion disk, and a region just outside, composed of fast-moving ionized gas clouds called the Broad Line Region (BLR). Using spectra obtained with NASA’s Infrared Telescope Facility, we use a technique known as reverberation mapping …

Enhancing Postsecondary Outcomes For Students With Emotional And Behavioral Disorders: A Design-Based Mixed Methods Approach To Transition Planning, Kate M. Schrum

Dissertations

Students with emotional and behavioral disorders (EBD) experienced significantly lower postsecondary outcomes when compared to same-aged peers. These outcomes included lower graduation rates, higher unemployment rates, and difficulty establishing independent living arrangements (Wagner & Newman, 2015). Following a human-centered, design-based approach, the scholar-practitioner found a lack of consistent and meaningful transition support specifically designed for students with EBD. Working with a stakeholder team of educational professionals directly involved in supporting transition for students with EBD at an alternative special education program, the scholar-practitioner developed a "Transition Toolkit". The toolkit contained scaffolded grade-level checklists (for grades 6–12) with self-advocacy and goal-setting …

De Astronomiā: A Comparison Of Kepler’S Epitome Astronomiae Copernicanae And Ancient Astronomical Literature, Jillian Lees Darcy

Classics Undergraduate Senior Theses

My thesis is part translation and part analysis. I chose to translate an early modern astronomical text written in Neo-Latin and analyze this text through ancient writing on astronomy and cosmology. I chose to translate Kepler’s Epitome Astronomiae Copernicanae because of the many ancient allusions he makes in the introduction. While this text is valued for its scientific content and contributions, but I was interested in Kepler’s literary strategies, specifically how he engages in authorial self-fashioning, and how classical strategies of knowledge construction are distorted or mirrored in their style and content.  After my translation, I will analyze Kepler’s literary …

A Broadband, Dual Polarized Antenna For The Radio Neutrino Observatory In Greenland, Laken Baker

Electrical Engineering

Neutrinos contain information necessary to determine the origins of the universe and cosmic events because they can travel long distances with minimal interaction, preserving information about their cosmic origins. Since neutrinos interact with ice sheets resulting in RF radiation, antennas have been developed to detect RF transmissions.

A compact 'vane structure' (see Fig. 1a) dual-polarized broadband antenna model has been developed, constructed, and characterized according to input reflection coefficient, and co and cross-pol E and H plane radiation patterns using HFSS and Cal Poly San Luis Obispo’s anechoic chamber for the Radio Neutrino Observatory in Greenland (RNO-G) [1]. Its design …

Oer Organic Chemistry I Lab Manual, Ji Kim

Open Educational Resources

This Organic Chemistry I Lab Manual presents ten inquiry-based modules that integrate green chemistry principles into every stage of the microscale laboratory experience. Students use Kontes microscale glassware to perform essential techniques, including distillation, recrystallization, extraction, chromatography, and nucleophilic substitution reactions. Each module features standardized learning objectives, pre-lab questions, microscale procedures, data tables, and post-lab analysis. Green Chemistry Connections explicitly links each experiment to the Twelve Principles, emphasizing waste prevention, safer solvents, renewable feedstocks, and accident reduction. From isolating caffeine from tea and lycopene from tomato paste to synthesizing cyclohexene via E1 elimination, students learn classical organic chemistry through an …

A Workflow For Automating Geospatial And Data Visualizations For Post-Earthquake Building Damage Data, Alejandra Bravo

Architectural Engineering: Graduate Reports

After major seismic events, reconnaissance efforts of various types are made to gather data. Coarse data can be collected with satellite imagery, mid-scale data can be recorded by capturing thousands of images, and granular data is typically documented manually by humans. Post-earthquake reconnaissance teams can be deployed by universities, research organizations, professional associations, and private firms. Academics, engineers, and students with varying degrees of expertise are tasked with collecting building metadata and damage data, typically in a short period of time. This data can be of various types including numerical (i.e. number of stories, height, etc.), categorical (i.e. damage level, …

Examining How Student Involvement And Identity Shapes Perceptions Of Cal Poly Administrative Communication And Organizational Change, Ellenor Rose Nunes

Communication Studies

This study examined the relationship between student organization involvement, sense of belonging, and perceptions of administration at California Polytechnic State University (Cal Poly). Using survey data collected from 176 students, independent samples t-tests and correlation analyses were conducted in SPSS Version 25 to examine whether involvement in student organizations was associated with perceptions of administration and institutional belonging. Results indicated no significant relationship between levels of involvement and perceptions of administration or organizational change communication. However, students involved in student organizations reported significantly greater feelings of mattering and belonging compared to non-involved students. Additionally, students with stronger feelings of belonging …

How Lesson Type Shapes First-Grade Scienceengagement And Enjoyment, Stella Cybulski, Brooke Towner, Joy James

Journal of Youth Development

Although traditional classroom instruction often emphasizes passive forms of learning, growing evidence highlights the value of active play in promoting curiosity and conceptual development. Grounded in guided play theory, this study investigated how young learners experience science lessons across three instructional contexts: indoor inactive, indoor active, and outdoor active. Thirty-two first-grade students in a Title I laboratory school completed an enjoyment survey and drawing task following each lesson type. Results demonstrated that active play, particularly in outdoor contexts, was associated with higher enjoyment and more dynamic depictions of science learning. Thematic analysis of drawings indicated that students connected more deeply …

What's The Big Picture? Capturing All The Companions To The Lowest-Mass Stars, Eliot Vrijmoet, K. Ward-Duong, Susan Niu, Alette Matthews, Todd Henry, Lucy Williams

Astronomy: Faculty Publications

The M dwarfs are frequently orbited by low-mass stars and terrestrial planets, yet rarely by the brown dwarfs and Jovian planets between those mass regimes. The collective orbital architectures of those unusual substellar companions thus present a valuable opportunity to learn about those objects' formation, dynamical evolution, and original circumstellar environments. Accessing those parameter spaces, however, requires complementary observing techniques to truly map orbits and thoroughly assess the masses and mass ratios that occur. Here we present our pilot study of five M dwarfs with strong evidence of potentially substellar companions, combining 20+ years of astrometric monitoring from RECONS with …

Measuring And Modeling The Circumplanetary Dust Disk Around The Planetary-Mass Companion Sr 12 C, Nathaniel Kerman, Kimberly Ward-Duong, Mickael Bonnefoy, Kj Soto Villarreal, Nicole Arulanantham, Benoît Tabone, Catherine Dougados, Laurent Pueyo, Mathilde Mâlin, Claire Finley, Et Al

Astronomy: Faculty Publications

SR 12 c, a planetary mass companion in a ~1000 au orbit around its binary host, is one of only three planetary mass objects surrounded by an ALMA-detected circumplanetary disk (CPD). CPDs with different masses and orbits provide crucial laboratories to study substellar formation: the structure and mass of CPDs govern planet formation timescales and may distinguish between formation mechanisms, while dust composition and grain sizes ultimately affect atmospheric metallicity and satellites. CPD properties can also be compared against better-understood brown dwarf and low-mass star disks to test how disk properties scale with central object mass at the low-mass extreme. …

Real-Time Simulation Of Bio-Luminescent Light Propagation Using Compute Shaders Within Unreal Engine, Jaden D. Halevi

Computer Science Senior Theses

Presented in this paper is a GPU-native approach to interactive fluid simulation within Unreal Engine 5. The system, BioFluidSim, implements an incompressible Navier-Stokes solver using Unreal’s Niagara Grid2D compute shader pipeline, with a modular biological emission output stage parameterized from experimentally measured Lingulodinium polyedrum bioluminescence behavior. The system is evaluated against FluidNinja Live, a commercially available fragment shader fluid implementation, as a performance baseline. Beyond performance, BioFluidSim offers greater physical fidelity than the fragment shader baseline. Helmholtz–Hodge pressure projection enforces a divergence-free velocity field at runtime, a physical constraint approximated but not enforced by fragment shader approaches. The biological emission …

Mgrre_Thinsections_Mgrre-101_6, Mgrre

Thin Sections

No abstract provided.

Mgrre_Thinsections_Mgrre-101_20, Mgrre

Thin Sections

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Mgrre_Thinsections_Mgrre-101_22, Mgrre

Thin Sections

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Mgrre_Thinsections_Mgrre-101_24, Mgrre

Thin Sections

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Mgrre_Thinsections_Mgrre-101_20, Mgrre

Thin Sections

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Mgrre_Thinsections_Mgrre-102_1, Mgrre

Thin Sections

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A Systematic Review Of Intrusion Detection Systems For Internet Of Medical Things: Performance, Efficiency, Explainability, And Generalization, Oswald Adohinzin, Youssef Harrath

Research & Publications

The Internet of Medical Things (IoMT) has transformed health care delivery through medical devices, remote patient monitoring, and real-time clinical decision support. However, the proliferation of IoMT devices introduces security vulnerabilities that put patient safety and data privacy at risk. Intrusion Detection Systems (IDS) have emerged as essential components for protecting IoMT networks from cyberattacks. This article presents a systematic review of IoMT-IDS research, analyzing 53 high-quality papers published between 2020 and 2025, identified through database searches spanning 2016–2025 across IEEE Xplore, Springer, ScienceDirect, and ACM Digital Library. We organize the literature through a comprehensive taxonomy spanning classical machine learning …

A Machine Learning Framework For Residential District Cooling: Forecasting Consumption, Explaining Drivers, And Evaluating Decarbonization Pathways, Kadhim Hayawi, Husna Maliakkal, Neethu Venugopal, Thanveer Musthafa Hussain, Gomathi Bhavani Rajagopalan

All Works

District Cooling Systems (DCS) in the Middle East, while energy-efficient, are significant contributors to carbon emissions. This study introduces a novel framework to decarbonize DCS operations by integrating predictive machine learning, explainable AI (XAI), and renewable energy planning, all grounded in extensive real-world data. Leveraging a unique dataset from 59 residential buildings in the UAE—including energy consumption, climate variables, and building features—we developed a high-fidelity cooling load forecasting model. Following a rigorous chronological validation methodology, the Random Forest model was identified as the most robust, achieving a strong performance (R² = 0.8256, RMSE = 11,668.31). Outdoor temperature was confirmed …