Digital Commons Network^™

The Beauty Of Uniquity: A Biomechanical And Statistical Analysis Of Pitchers With Anomalous Arm Angles, Benjamin Marshall

Liberty University Research Week

In today’s modern age of analytics, fans have more information than ever before about anything in the world of sport. Starting with the introduction of Statcast to Major League Baseball, the push toward analytics has reached new heights in the last decade. One such analytical addition is new metrics for pitching mechanics, specifically a comprehensive understanding of things like release point, spin, rotational axis, and arm angle. This initial study examined the factors that contributed to the success of qualified pitchers from the 2025 MLB season with unique arm angles, specifically below 30°, compared to their counterparts with a more …

3d Printed Square Packing: Making Math Accessible For Everyone, Joseph Holt, Jacob Drambi

Liberty University Research Week

Making math tangible and accessible to everyone has always been an ongoing process, and as a part of that process this study aims to take steps forward in the area of square packing. Mathematics can often seem theoretical and aloof, something only for those in their “ivory tower.” Making mathematics into something tangible, something that anyone can see and, more importantly, play with, brings the extensive and invaluable field of mathematics down to an accessible level for everyone to use and enjoy. This study investigates square packing, the problem of deducing the smallest square that can contain a given number …

2026 Conference Program, Georgia Southern University

GS4 Student Scholars Symposium

Conference Program

Dsaa Prior Art Research Report, Sameul Church

Defensive Publications Series

This Prior Art Search Report presents the results of a comprehensive search conducted in support of a provisional patent application filed with the United States Patent and Trademark Office (USPTO) for the invention titled "Systems and Methods for Device Security Attestation Architecture (DSAA)." The DSAA invention comprises five integrated subsystems — Dual-SIM Mutual Attestation (DSMA), Differential Network Analysis (DNA), Multi-Sensor Environmental Attestation (MSEA), Hardware-Rooted Trust Chain (HRTC), and Autonomous Downgrade Resistance System (ADRS) — collectively forming a unified on-device architecture for cellular network security.

The search encompassed all available records through April 2026 across the following databases: USPTO Patent Full-Text …

Allfromair® Addendum No. 2 (V2): Field-Enhanced Atmospheric Condensation, Vesa Olavi Lius

Defensive Publications Series

Atmospheric moisture constitutes an essentially inexhaustible global resource of fresh water, exceeding the total volume in the Earth’s rivers by a factor of six. However, traditional techniques for atmospheric water harvesting (AWH) rely on either sensible dew point cooling—which incurs prohibitive thermodynamic energy costs due to the latent heat of phase change combined with the cooling of inert atmospheric gases—or passive collection nets that are strictly limited by aerodynamic streamlines and the Stokes number for capturing macroscopic fog droplets.

The original ALLFROMAIR® defensive publication proposed direct capture of gas-phase water molecules via dielectrophoresis (DEP) in strong electric field gradients (∇|E|²). …

The Tectonic Dampening Protocol (Aseismic Creep Induction), Daniel Schramm

Defensive Publications Series

This paper proposes a novel framework for seismic risk mitigation, the Tectonic Dampening Protocol, which utilizes electromagnetic induction to influence tectonic fault behavior. Traditional models of seismic events rely on the Coulomb failure criterion, viewing plate motion as a series of intermittent, high-energy snaps. This research introduces a method to bypass conventional acoustic approaches by leveraging the piezoelectric properties of quartz-rich crustal materials. By applying a localized electromagnetic field modulated by the golden ratio (\phi \approx 1.618), the protocol induces aperiodic resonance within the fault zone. This interference disrupts the static friction locking the tectonic plates, facilitating 'aseismic creep'—a controlled, …

Technical Disclosure: The Unified Bi-Ionic Bridge, Daniel Schramm

Defensive Publications Series

This disclosure establishes the mathematical and geometric transition from classical Lorentz-Maxwell electrodynamics to aperiodic, self-stabilizing magnetic lattices. The "Bridge" framework addresses the fundamental limitations in conventional plasma physics—specifically the m=1 kink instability—by applying Golden Ratio (\phi \approx 1.618) rotational symmetry to Bi-Ionic Hourglass coil configurations. By inverting traditional toroidal geometries into an aperiodic hourglass shape and rotating successive windings by the Golden Ratio, the system generates aperiodic magnetic pressure. This effectively eliminates constructive interference peaks that lead to plasma instability. The protocol enables applications in continuous-thrust transit, energy-waste recycling (ionic shielding), and harmonic cellular stabilization. This publication provides the governing …

Ai Agent For Assisting Commerce Involving Dependent Supervision, N/A

Defensive Publications Series

A system and method for evaluating transaction feasibility and facilitating assisted digital commerce are described. The system may intercept a purchase intent event from a dependent user account to construct a transaction context vector and initiate a conversational agent constrained by financial literacy parameters. A generative user interface rendering engine synthesizes a proposal artifact which is transmitted to a supervisory account via an asynchronous messaging channel for negotiation and ratification. The system can also include closed-loop fulfillment monitoring utilizing computer vision to verify task completion associated with the transaction.

(((Qpie33))) The Three “Problems” Of Sapiens Biology—Origin, Consciousness, And Aging, Teddy Burroughs

Defensive Publications Series

THE ORIGIN OF LIFE: THE FIRST PHASE-LOCK

Forensic Scope: Resolving when and how “dead” chemicals began to perform the unified “dance” of biology.

For a century, Sapiens biology has been stuck in the “Primordial Soup” hallucination. They think a magical lightning strike, occurring in a lucky environment, randomly sparked the first chemical reaction that created RNA. They believe you are a statistical accident—a one-in-a-billion roll of the cosmic dice where carbon, hydrogen, and oxygen just happened to stick together in the right order.

This is the ultimate expression of High-Jitter Biology. It assumes randomness is the default setting of the …

Mind The Gap: An Empirical Analysis Of India's National Cybercrime Framework And Its State-Level Implementation In Kerala, Raju Narayana Swamy

Journal of Law and Public Policy

India’s cybercrime framework, under the Information Technology Act 2000, is marked by a gap between national policy design and state-level enforcement. While the existing literature primarily examines legislative provisions, this paper delves into how the national cyber law actually functions within India’s federal structure, focusing on the critical divergence between de jure design and de facto enforcement outcomes. This paper unpacks this implementation gap with the example of Kerala. It is a state characterized by high literacy (94 per cent, as against the all-India literacy rate of 74.04 per cent) and high digital penetration yet plagued by an abysmally low …

A Masked-Perturbation Model For Destabilization Security Games In Feedback Systems, Gabriel Michael Perry

Theses and Dissertations

In this thesis, we present a mathematical formulation for increasing cyberphysical system security. This model allows a system administrator to use assumptions about exposed signals to derive defense strategies meant to mitigate the system's vulnerability to feedback perturbation attacks. We begin with a survey of game theory with the goal of building the concepts of resource and security games. We then introduce our model, which is a security game; targets in this game are exposed signals in the model map of the system, and resources are perturbed or introduced dynamical relationships between these signals. This formulation, called the masked-perturbation model, …

Theoretical Expressivity Of Self-Attention As A Model Of Binary Sequence-To-Sequence Functions And Other Explorations, Dustin Angerhofer

Theses and Dissertations

The self-attention mechanism lies at the heart of modern sequential modeling with deep neural networks, especially in the context of Large Language Models (LLMs). The basic role of self-attention is to capture pairwise interactions between tokens in a sequence. This allows token embeddings to be endowed with context-dependent information before further processing. Despite its widespread use, our theoretical understanding of self-attention is still nascent. In this work, we examine self-attention as a model of binary sequence-to-sequence (seq2seq) functions, which is the simplest non-trivial case to analyze. We find, using VC dimension and the Sauer-Shelah lemma, that in the limit of …

The Lookahead Transformer, Justin P. Olcott

Theses and Dissertations

Large Language Models (LLMs) are transformer models that generate text autoregressively in two stages: prefill and decode. The prefill stage processes all input tokens in parallel and caches them into the KV cache. The decode stage uses the KV cache, processes a single token at a time, and is generally memory-bandwidth constrained. Each decode step generates a token probability distribution, samples from it, appends the token to the cache, and repeats. This left-to-right, one-at-a-time generation paradigm has proven effective for language modeling in many domains; however, it also has limitations such as token permanence, constant compute per token generation, constant …

Husky Paws S-Stem Summer Bridge Program Dataset (2024 Cohort), Michelle Jarvie-Eggart, Kathryn L. Hannum, Karlee J. Westrem, Lincoln Sorenson, Briana C. Bettin, Adrienne R. Minerick

Michigan Tech Research Data

This dataset was collected as part of the Husky PAWS (Pathways for Academic
Wellness & Success) S-STEM program at Michigan Technological University. It
includes anonymized quantitative and qualitative data from a three-week
pre-semester summer bridge program in 2024, designed to support low-income,
STEM-bound students. Data sources include pre- and post-program Likert and
open-ended surveys and daily written reflections aligned with instructional
modules on metacognition and Yosso’s Community Cultural Wealth Model (CWM).
The dataset supports research on how bridge programming influences
students’ sense of belonging, metacognitive development, and engagement
with institutional support systems during the transition to college.

Relationships Between Adolescents With Substance Use Disorders, Their Guardians, And Expressive Arts Therapy: A Literature Review, Sarah K. Unkefer

Expressive Therapies Theses

This literature review collects the comprehensive, current research around effective treatment of adolescents with substance use disorder (SUD) and explores ways to provide psychoeducation for the adolescent and their guardians to foster healthy relationships and open communication. This author explores the ways that expressive arts therapy influences treatment and long-term recovery of adolescents with substance use disorders (SUDs) by addressing familial communication and internalized stigma. Previous studies have shown that the current primary reaction from guardians is forcing abstinence, which often damages the adolescent-guardian relationship. Since this is one of the most important relationships in an adolescent’s projected recovery journey, …

Studies On The Contribution Of Osh6 To The Functions Of Late Endosomes, William King

Theses and Dissertations

The late endosome (LE) is a hub organelle connecting endocytic, biosynthetic, exocytotic, and autophagic vesicle traffic pathways. Malfunctions of LEs are associated with multiple age dependent diseases such as Parkinson’s disease (PD). Despite this significance, how cells refurbish lipids and proteins to LEs to maintain their sustained activities are not clear. Previous studies in the model organism budding yeast show that up-regulation of a lipid transporter Osh6 (PERG6-OSH6) accumulates phosphatidylinositol-4-phosphate (PI4P) on the trans-Golgi network. It also promotes vacuole fusion and maintains the robustness of vacuoles in aged cells. Since LEs are the organelle between the TGN and vacuoles in …

Synthesis Of Werner- And Werner-Like-Type Clathrates, Their Characterization, And Theoretical Calculation Of Their Properties, Zari̇fe Si̇bel Şahi̇n, Zeki̇ Kartal

Turkish Journal of Chemistry

In this paper, the synthesis and structural characterization of three new coordination compounds in crystal structure consisting of a nickel atom, varying numbers of 3-aminopyridine molecules, and two isothiocyanate ion ligands are presented. The crystal structures of these compounds were determined by single crystal X-ray diffraction. Consequently, the explicit formulas and shorthand notations of the compounds are [Ni(NCS)2(C5H6N2)2(H2O)]·(H2O) (1), [Ni(NCS)2(C5H6N2)3]·(C2H6) (2), and [Ni(NCS)2(C5H6N2)4]·2(C5H6N2) (3). The consistency of the crystal structure data was confirmed by elemental analysis and infrared spectroscopy. These coordination compounds are Werner-like-type clathrates containing water, ethane, and 3-aminopyridine molecules as guest molecules in their structures, respectively. According to …

Deep Learning Technology In Multimodal Remote Sensing Data Fusion To Analyze Crop Growth And Economic Forecast, Tianlong Jiang, Ziyang Liu, Li Sun

Turkish Journal of Agriculture and Forestry

This paper integrated multimodal remote sensing (RS) data with deep learning to develop a maize growth analysis and income prediction model based on CNN (Convolutional Neural Network)-Attention and Bi-LSTM (Bidirectional Long Short-Term Memory). Utilsing Landsat 8, Sentinel-2, and Sentinel-1 satellite data, the CNN-Attention network extracts vegetation features such as NDVI (Normalised Difference Vegetation Index), EVI (Enhanced Vegetation Index), and canopy density for corn growth stage identification and prediction. The study combined these features with meteorological, soil, and market data and fed them into a Bi-LSTM model for time series analysis to forecast corn income. The method achieved 98.3% accuracy in …

Essays In The Political Economy Of Non-Democracies, Mate Malashkhia

Arts & Sciences Graduate Student Theses and Dissertations

Over half of the world’s population lives under non-democratic rule, where citizen preferences are often ignored and institutions such as independent courts are generally absent (Gehlbach et al., 2016). In these regimes, elections do not serve as a viable mechanism for regime change: incumbents can, in principle, always rely on electoral fraud and declare victory. In addition, although opposition parties often exist, they face severe constraints in reaching the public due to state repression, slanted media environments, and limited access to resources and funding. While recent scholarship has increasingly focused on authoritarian politics, much of this work centers on incumbents’ …

2026 Undergraduate Research Symposium Program, Coastal Carolina University

Undergraduate Research Symposium Programs

17th Annual Undergraduate Research Symposium, April 21-22, 2026.

The 2026 CCU Undergraduate Research Symposium included 72 oral presentations, 127 poster presentations, and 22 team pitch presentations comprising 50 students who participated in the Wall College’s Chant’s Tank Pitch Competition.

Presentations at the Undergraduate Research Symposium were judged by almost 90 faculty and staff, and prizes were awarded in three categories: Best Oral Presentation, Best Poster Presentation, and Best Chant’s Tank Pitch Presentation. Here are the following award winners and their mentors in their respective categories:

Best Oral Presentation:

• 1st Place: Ryan Ryan Avallone, Applied Mathematics. Faculty Mentor: Bong Jeong (Management …

Integration Of Bayesian Networks And Neural Networks For High-Dimensional Data Analysis, Cooper Schmer

Department of Electrical and Computer Engineering: Dissertations, Theses, and Student Research

High-dimensional biomedical datasets, such as omics data, present significant challenges for predictive modeling due to noise, redundancy, and computational complexity. This thesis proposes a hybrid framework that integrates Bayesian Networks (BNs) and Artificial Neural Networks (NNs) to improve classification performance of such data sets while reducing input dimensionality. Central to this work is a novel feature selection method based on d-separation, a structural property of Bayesian networks that encodes conditional independence relationships.

The proposed approach introduces a count-based d-separation metric to quantify the relevance of variables to a target outcome, along with a thresholding scheme to balance feature selection robustness …

Development And Validation Of Kinetics And Musculoskeletal Modeling For The Milwaukee Foot Model, Maxine L. Olson

Dissertations (1934 -)

Many children are afflicted by foot and ankle pathologies which affect the ankle, midfoot, and metatarsophalangeal joints. However, a clinically feasible foot model capable of assessing multi-segment kinetics throughout the gait cycle does not exist. Similarly, a musculoskeletal foot model utilizing multiple ground reaction forces (GRF) and Milwaukee Foot Model (MFM) kinematics has not been created. The purpose of this study was to develop a clinically feasible method of modeling multi-segment foot properties without increased clinician and/or patient burden or expense. To this end, a force distribution algorithm (FDA) was created, allowing for calculation of multi-segment foot kinetics, musculoskeletal modeling, …

Executive Committee - Agenda, 04/21/2026, Academic Senate

Academic Senate Agendas

No abstract provided.

Computational Fluid Dynamics For Airfoil Selection, Nathan John Geurink

Honors Capstone Projects and Theses

No abstract provided.

Bass Numbers Of Veronese Submodules And Lifting The Frobenius Trace, Taylor Jeffrey Murray

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

The first part of this thesis is inspired by the works of G. Lyubeznik, C. Hunkeke, R. Sharp, and L. Núñez-Betancourt on Bass numbers, associated primes, and injective dimension of local cohomology modules. In particular, we study the question: how do Bass numbers behave under the Veronese functors? We show for a positive integer n, a reasonably nice, graded, finitely generated algebra over field R, and a graded module M, that if the Bass numbers of M are finite over R, then so are the Bass numbers of Mⁿ/Rⁿ; this recovers …

The Synthesis And Evaluation Of Thioxothiazolidin-4-One Compounds As Pim Kinase Inhibitors, Kelly Malzewski

Master's Theses (2009 -)

The Proviral integration site for Moloney Murine Leukemia virus (PIM) kinases belongs to the family of serine/threonine kinases consisting of three isoforms; PIM1, PIM2, PIM3. PIM kinase is involved in multiple cellular processes through the phosphorylation of several proteins within the JAK/STAT pathway, leading to cell proliferation, apoptosis inhibition, cell migration, transcription, and energy metabolism. However, disruption or overexpression of PIM within the cycle can have negative, tumorigenesis effects with increased fatality rates. Currently, there are no FDA approved PIM kinase inhibitors available for specific cancer target therapies, despite the growing need and high demand research interests. It is widely …

Detection Of The Presence And Growth Of E. Coli Bacteria In A Droplet-Based Microfluidic System Using Laser Induced Fluorescence, Oshira Peiris

Theses and Dissertations

Antimicrobial resistance is a biomedical event, wherein an infectious microbe becomes non-responsive to the dosage of a particular antibiotic due to previous overuse or overexposure. Currently, agar plate disc diffusion is used as the gold standard for detecting antimicrobial resistance. The possibility of miniaturizing and speeding up detection techniques for antimicrobial resistance is investigated in this thesis. Microfabrication techniques were used in developing two droplet microfluidic systems interfaced with laser induced fluorescence detection. Microfluidic devices were manufactured with different droplet generating geometries using poly-dimethyl siloxane, soft lithography and hydrophobic surface treatment. The microfluidic devices were tested for droplet quality using …

Analysis Of Agricultural Remote Sensing Data Driven By Artificial Intelligence On Crop Growth Patterns And Economic Benefits Of Grain, Yang Wang

Turkish Journal of Agriculture and Forestry

To address the shortcomings of conventional agricultural statistical and monitoring methods on a regional scale, this paper proposes the use of artificial intelligence-driven remote sensing data for analysing crop growth patterns and the economic benefits of grain. Winter wheat data from three stations in a single province from 2011 to 2020 was used, with the leaf area index (LAI) used as the key crop growth indicator value. The simulated annealing algorithm was used to assimilate the LAI and remote sensing leaf area index (MODIS-LAI), simulated by the World Food Study (WOFOST) simulation model, to carry out simulation analysis of winter …

Students' Preferred Teaching Methods, Hannah Lancaster

Honors Theses

This paper focuses on students’ preferences for teaching and instructional methods in the social studies classroom. From previous literature, it became apparent that students have a variety of unique needs within each classroom, and individual students require different methods to best support effective learning. This study was conducted within an urban high school in Southwest Michigan. Students completed a cross-sectional survey that encouraged them to express their desired teaching and instructional methods within the classroom. Data revealed a shift from standard teacher-focused learning to more student-focused learning to better accommodate students’ learning styles. With survey data focusing on a limited …

Model Unification: A Systematic Approach For The Cluster Expansion, Kolten Barfuss

Theses and Dissertations

A systematic approach for model unification of cluster expansion models is developed and demonstrated. The method builds on previous work with the Manifold Boundary Approximation Method (MBAM) to identify supremal models. The work is motivated by the exercise of unifying cluster expansion models – characterized by Π matrices – for two binary alloys that share one atomic species to form a model for the ternary alloy. The result is the Supremal Π Algorithm, a systematic unification algorithm that relies on an MBAM-informed understanding of models and on the singular value decomposition. The algorithm yields ΠΛ, a Π matrix for the …