Digital Commons Network^™

Development Of A Liquid Propellant Rocket Engine With Integrated Water-Based Cooling Jacket, Mauricio Bautista, Jesus Cortes, Christian Lopez, Hugo Robles, Will Owens, Josh Sutton, Jayden Pace, Shelby Enlow

Create@State

This projects describes the development of a liquid rocket engine with a metal casted cooling jacket. We test the system and provide simulation data for the project.

Which Ai For What? An Ai Value Index For Small Business Adoption, Ahesanul Karim Abid

Create@State

Every day, millions of small business owners hear the same advice: use AI to grow your business. But when they look at the options — ChatGPT, Claude, Gemini, Grok, DeepSeek – they face an overwhelming question with no clear answer: which one should I actually use for my specific business need?

This question needs a fact-backed answer. Small businesses make up nearly all U.S. companies, about 99.9%, and employ close to half the country's workforce. Yet they adopt AI at rates 38 percentage points lower than large corporations. The issue is not cost. The issue is that no one has …

Understanding The Relationship Between Morphometric Indices Of The Eleven Point River And Sediment And Nutrient Transport, Karimot Shobowale, Jennifer Bouldin

Create@State

Objective: To evaluate how watershed characteristics impact sediment transport and water quality parameters.

The Convergence Of Big Data And Ai, Prasanna Rajbhandari

Create@State

Big data and artificial intelligence are transforming how organizations analyze information and make decisions. Traditional analytics struggle with large, distributed, and unlabeled datasets. Modern AI systems must adapt quickly, preserve privacy, and extract meaningful insights from complex data environments.

The Silent Trigger Theory: A Predictive Behavioral Safety Framework, Yazeed Almutairi

Liberty University Research Week

This theoretical study introduces The Silent Trigger Theory, a predictive behavioral safety framework designed to identify early, often overlooked human signals that precede safety incidents. Despite advances in established safety approaches such as Behavior-Based Safety (BBS), Human and Organizational Performance (HOP), and ISO 45001 management systems, incidents continue to occur in environments where procedures, audits, and controls are fully implemented. This gap suggests a limitation in current models’ ability to capture subtle behavioral warning signs, particularly silence, emotional withdrawal, and ambiguous communication.

The Silent Trigger Theory addresses this gap through the STARC framework (Shift, Traceable, Ambiguity, Risk Link, Corrective Loop) …

"Intergenerational Apologetics: A Strategy For Careful Confidence." A Dmin Thesis Project., Tom Farley

Liberty University Research Week

There is a subtle confusion between the objectives of evangelism and apologetics, leaving some senior adult church members unknowingly ill-equipped and intimidated to defend their Christian values. The purpose of this Doctor of Ministry action research was to address that intimidation by training seniors in a dedicated faith-values curriculum to become confident apologetic communicators. The intervention leveraged the process of intergenerational values-sharing while training stakeholders to develop their own faith narratives by seamlessly integrating biblical values with relevant apologetic particulars into personal stories to be shared with their grandchildren. In this environment, participants could develop a personal faith narrative that …

A Scoping Review: The Relationship Between Mindfulness, Resilience, And Wellness For First Responders With Work Related Trauma, Gary Oliver

Liberty University Research Week

This study reviewed research that explores the relationship between mindfulness, resilience, and wellness for First Responders with work related trauma. Mindfulness has a basis firmly rooted in Buddhist psychology, and shares similar conceptual tenets with Greek philosophy, existentialism, transcendentalism, and humanism which all center around the consciousness of attention and awareness. Resilience has a variety of interpretations within the literature and is understood as a dynamic process accounting for environmental and psychosocial factors that help people survive, grow, and thrive despite adversity. Wellness, though not concretely defined, is similar to overall health which is defined by the World Health Organization …

Von Hegel Bis Nietzsche, Karl LöWith

Hannah Arendt Marginalia - All

Zürich, New York, Europa Verlag [1941]

Call #: B803 .L6

Contains marginalia, underlining and marginal lining

PDF information: 175 pages - 105.5 MB

The Algorithmic Battlefield - How Ai Is Redefining Modern Warfare, Pranav Bhatnagar Mr

Defensive Publications Series

Modern warfare has entered a phase where conflict is no longer initiated or decided solely through visible force, territorial aggression, or human-led strategy, but through the continuous operation of Artificial Intelligence systems that process intelligence, predict behavior, and influence decisions at a scale and speed beyond human comprehension, transforming the battlefield into a persistent, invisible domain where actions are shaped long before they are executed, as seen in real-world geopolitical tensions such as those between Russia and Ukraine, where cyber operations, satellite interference, and AI-assisted intelligence systems have become as critical as physical military deployments, and in the strategic competition …

Contactless Orbital Debris Shepherd (Cods), Michael Victor Caldwell Mr.

Defensive Publications Series

This disclosure, Contactless Orbital Debris Shepherd (CODS) presents a scalable, contactless orbital debris removal system using coordinated ion beam momentum transfer, photon-assisted impulse control, and deployable drag augmentation devices. The system eliminates the need for mechanical capture and enables multi-target debris mitigation through autonomous formation flight and distributed operations.

Identity-Based Encryption For Secure Agentic Ai Workflows, Niranjan M M

Defensive Publications Series

Agentic AI systems are increasingly used across platforms for autonomous networking, security operations, observability, customer support, and business process automation. These systems consist of dynamically composed chains of AI agents, tools, and human participants that exchange highly sensitive data such as network telemetry, configuration state, customer information, and AI reasoning artifacts. Traditional security mechanisms such as static access controls, certificate-based encryption, or policy-heavy approaches like attribute-based encryption, do not scale effectively in these dynamic, high-churn environments.

The proposal introduces an Identity-Based Encryption (IBE) framework specifically designed for securing agentic AI workflows. In the proposed system, each agent, tool, and workflow …

Machine Learning Based Safe Transmission Rate Guidance For Industrial Iot And Ot Networks, Niranjan M M

Defensive Publications Series

Industrial IoT (IIoT) and Operational Technology (OT) networks lack a mechanism to regulate how much traffic is introduced into the network based on real-time conditions, leading to congestion and degradation of critical communications. The proposal introduces a machine learning–based system that derives a safe transmission rate using cross-layer network telemetry and enforces it at gateways, brokers, or network elements. By enabling predictive and controlled traffic admission, the proposed method ensures stable and reliable operation in industrial environments.

The Virtual Content Viewing Device With A Greater Virtual World View And A Greater Actual World View That Utilizes A Convex Lens-Based Refraction Mechanism To Provide The Greater Virtual Projection Observing Space Where A Concave Lens-Based Mechanism Will Enable The User To Clearly Observe The Real World., Punarjeewa Abeysekera

Defensive Publications Series

This paper describes a virtual content viewing device with a greater virtual world view and a greater actual world view that utilizes a convex lens-based refraction mechanism to provide the greater virtual projection observing space where a concave lens-based mechanism will enable the user to clearly observe the real world. The entire virtual content viewing device will consist of a left composite projection system and a right composite projection system. The left composite projection system will contain a top projection system and a bottom projection system. And the right composite projection system will contain a top projection system and a …

Arachne-Chip Hybrid Interposer: Vortex-Enhanced Microfluidic, Anisotropic Cte-Tuned Thermal Platform For High-Density Chiplet Systems, Michael Victor Caldwell Mr.

Defensive Publications Series

This disclosure presents a hybrid thermal–structural interposer designed to address critical limitations in advanced semiconductor packaging, specifically thermal boundary layer stagnation, hotspot formation, and coefficient of thermal expansion (CTE) mismatch.

The architecture integrates an anisotropic Dyneema-based laminate for CTE tuning and in-plane thermal spreading, a targeted vortex-enhanced microfluidic manifold for boundary layer disruption, and a dual-layer pressure-balanced flow distribution system to ensure thermal uniformity across the die. Additional features include impedance-graded channel geometry, pulsed-flow operation for transient load stabilization, Kapitza-aware interface engineering to reduce interfacial thermal resistance, and a compliance buffer layer to improve long-term mechanical reliability.

Unlike conventional flat …

Hierarchical Entropy Generation For Traffic-Class-Aware Load Balancing, N/A

Defensive Publications Series

This publication describes techniques for hierarchical entropy generation to enable traffic-class-aware load balancing of Remote Direct Memory Access over Converged Ethernet version 2 traffic over Virtual Extensible LAN architectures. A three-level approach generates entropy by calculating an inner source port based on communication channel identifiers, assigning a network identifier based on traffic characteristics, and calculating an outer source port based on the inner source port and the network identifier. These techniques expose fine-grained flow and traffic class information to an underlay network to improve load balancing and network utilization. Keywords: load balancing, entropy generation, traffic classification, multi-path routing, network identifier, …

Ai-Augmented Music And Emotion Processing: Exploring Whole-Brain Integration In Counseling Sessions, Janita Daggy, Patricia Mcglothlin

Liberty University Research Week

This study explores how AI-adaptive music applications might support emotional awareness and self-regulation when used during counseling sessions. While creative arts interventions have long been recognized for engaging emotion-related brain processes, and AI technologies show promise in providing adaptive, real-time feedback, little research has examined how these approaches work together in actual counseling practice. The study introduces the Neuro–AI–Creative Integration Framework (NACIF) to guide this exploration. Thirty participants will attend five counseling sessions that incorporate AI music applications responsive to their emotional and physiological states, along with therapist-facilitated reflection on their emotional and bodily experiences. The study will measure changes …

Reframing Alpha-Gal Syndrome As A One Health Oral Health Risk: A Theoretical Model For Dental Safety And Policy Reform, Oyebolu Aderinola Akinkugbe, Akuchinyere Titus-Okpanachi, Oluwatosin Marylyn Oduneye

Liberty University Research Week

No abstract provided.

Viral Hepatitis Screening In Early Breast Cancer Patients Receiving Cancer Therapy: A Quality Improvement Initiative, Katherine Klein, Jessica Hwang, Vicente Valero, David Ramirez, Jaime Kaushik

Advances in Cancer Education and Quality Improvement

American Society of Clinical Oncology guidelines recommend screening all patients for hepatitis B virus (HBV) and hepatitis C virus (HCV) before initiation of cancer therapy. Cancer patients receiving cancer therapy represent a vulnerable population, and reactivation of undetected hepatitis virus can lead to devastating consequences. At MD Anderson Cancer Center, rates of hepatitis screening for all cancer patients have been historically low. The overall aim of this quality improvement (QI) study was to increase rates of HBV and HCV screening to at least 50% in early-stage breast cancer patients before cancer therapy in the Breast Medical Oncology clinic at MD …

Interprofessional Education Development In An Oncology-Focused Healthcare Institution, Mary Sizemore, Michael Morris, Mohamed Ait Aiss, Gregory Botz, Jolyn Taylor, Joshua Kuban, Diane C. Bodurka

Advances in Cancer Education and Quality Improvement

Background: Despite growing recognition of the value of interprofessional education (IPE), most IPE work has focused on undergraduate learners, leaving a critical gap in postgraduate and clinical environments. This report describes a phase 1, formative, pre-implementation quality improvement (QI) initiative to establish an institution-wide IPE program at an oncology center without a traditional medical school.

Methods: We used a developmental, multiphase mixed methods design integrating 3 inputs: (1) Virtual Interprofessional Teaching and Learning (VITAL) faculty-development feedback, (2) IPE Steering Committee feedback, and (3) simulation evaluation used as an applied context (not the sole focus). Surveys were administered to VITAL participants, …

Spatial Computing With The Apple Vision Pro In Minimally Invasive Procedure Simulation: A Randomized Crossover Feasibility Study, Sydney Cooper, Aaron Kyle Jones, Rahul Anil Sheth, Koustav Pal, Bruno Odisio, Mark Blaylock, Shelita Kimble, Justin Bird, David Rice, Daniel Shoenthal, Emil Patel, Vipin Kamath, Sanjay Gupta, Jeffrey Siewerdsen, Joshua Kuban

Advances in Cancer Education and Quality Improvement

Purpose: This study aimed to evaluate the feasibility of wearing the Apple Vision Pro (AVP), a mixed-reality headset that integrates augmented and virtual reality, while performing minimally invasive procedures. While studies have demonstrated that spatial computing technology can improve surgical precision and reduce the risks of surgical complications, to our knowledge, no studies have specifically addressed the impact of the AVP on task performance during simulated image-guided procedures.

Materials and Methods: Thirteen diagnostic and interventional radiology residents performed image-guided central venous catheter placement, thoracentesis, and paracentesis on simulation models. Each participant completed a non-timed practice followed by the procedures once …

Utilization Of Hybrid Angiography-Ct Suites In An Interventional Oncology Practice, David Irwin, Kiyoyuki Minamiguchi, Ryosuke Taiji, Aaron Kyle Jones, Gouthami Chintalapani, Roland Bassett, Steven Y. Huang, Sanjay Gupta

Advances in Cancer Education and Quality Improvement

Purpose: To evaluate operational trends in an interventional oncology practice at a tertiary academic center before and after the addition of hybrid angiography–computed tomography (Angio-CT) rooms.

Materials and Methods: The procedure volumes and types performed in the hybrid Angio-CT rooms were retrospectively collected from 2016 to 2020. Procedures were divided into categories, including arteriography, endovascular interventional oncology, ablation, venous intervention, non-vascular catheter placement (biliary, nephrostomy, gastrostomy, etc.), and osseous interventions. Procedural trends in the Angio-CT rooms and the frequencies of combination procedures that used both CT and angiography were assessed.

Results: A major shift of catheter-based tumor-directed cases to Angio-CT …

A Performance And Quality Improvement Intervention Integrating Molecular Testing To Support Personalized Cancer Care In Lung And Thyroid Cancers, Suzanne Murray, Monica Augustyniak, John Vu, Elbert Y. Kuo, Manolo G. Pasia Jr., Sheri L. Rivera, Kelly M. Rodriguez, Vivek Subbiah, Patrice Lazure, Ecaterina E. Dumbrava

Advances in Cancer Education and Quality Improvement

Introduction: Molecular testing has been underutilized in the diagnosis and treatment of cancer patients, despite its potential to significantly impact clinical decision-making and resulting health outcomes.

Objectives: This project aimed to evaluate the process and impact of a performance/quality improvement (PI/QI) intervention to optimize the integration of molecular testing for patients with non-small cell lung cancer (NSCLC) or thyroid cancer (TC).

Methods: Physicians, advanced practice providers, and nurses were engaged in the PI/QI at 2 cancer centers (Site A and Site B) for up to 18 months following a pre-intervention needs assessment. Gaps identified at baseline informed …

Tom: Treatment Outcome Monitor - A Web-Based Tool Designed Specifically For Clinics With Limited Resources, Saurabh Shashikumar Nair, Alba Kihn Alarcon, Maritza Elodia Cupil Barrios, Milton Estuardo Ixquiac Cabrera, Mynor Villeda, Joseph Steyn, Anneray Richards, Ricardo Ruggeri, Loida Orozco, Angel Velarde, Indranil Mallick, Graeme Lazarus, Christoph Trauernicht, Vicky De Falla, Tim Edwards, Johnny Inthaphone, Adenike Olanrewaju, Laurence E. Court, Joshua Niedzielski

Advances in Cancer Education and Quality Improvement

Background: Although three-fourths of cancer deaths are expected to occur in low- and middle-income countries (LMICs) by 2030, most cancer research still comes from high-income countries. One barrier to cancer research in LMICs is lack of infrastructure for systematic data collection, including electronic medical record systems. We developed Treatment Outcome Monitor (TOM), a cloud-based tool for tracking cancer patient outcomes, designed specifically for resource-limited settings.

Methods: TOM was developed through iterative design cycles with continuous feedback from health care providers from across the world. We focused on creating a simple, web-based solution that addresses real-world challenges in resource-limited …

Increasing On-Task Behavior Using Reward Systems, Sarah Becker, Danielle M. Kovach

Psychology Research Conference

This study intended to examine the effectiveness of a reward system on on-task writing behavior. This single-subject study utilized momentary time sampling to gather data, and data was displayed using an ABAB design that alternated between baseline and intervention periods. The intervention used was the visitation the co-investigator's cat. Overall, there was an increase in on-task writing behavior during the intervention periods.

Evaluating A Virtual Reality-Based Physical Activity Intervention For Nicotine Vaping Cessation: Pilot Study Findings, Ryan X. Gallagher, Lucas S. Wittenburg, Sweta Banjara, Sampada Tuladhar, Matthew Mitnick, Bethany Raiff

Psychology Research Conference

Nicotine use remains a globally significant contributor to preventable illness and premature death. the prevalence of vaping has witnessed a significant increase in recent years, especially among youth in the United States, with a considerable rise from individuals who previously did not smoke. Although vaping is a relatively new method for tobacco use, research is starting to accumulate on its negative health effects, including obstructing airways, increasing heart rate, increasing systolic and diastolic blood pressure, exacerbating symptoms of chronic obstructive pulmonary disease, and decreasing lung function. Vaping cessation continues to be a primary public health initiative, and to date, little …

Research Week 2026 Program, Scholarly Communications

Liberty University Research Week

Program booklet for Research Week 2026.

Crimmigration: How It Can Protect Immigrant Rights, Aspen Griffing

Criminal Law Society Blog

“Crimmigration: How it Can Protect Immigrant Rights,” addresses the expansion of Immigration and Customs Enforcement under the Trump II Administration and its impact on the immigrant community in the United States. This Article recognizes the punitive nature that civil immigration proceedings, oftentimes posing consequences as severe as those in criminal proceedings. As such, this Article proposes a procedural concept of “crimmigration” to protect immigrant rights. A “crimmigration” framework would offer immigrants the right to Miranda warnings, prompt judicial determinations of probable cause, the right to a speedy trial, and the right to appeal, among other protections. While the harms caused …

A Joint Effort: Accomplishments Of The Resource Center For Cannabis And Cannabinoids Research, Patrick Still, Don Stanford, Mary Paine, Nandakumara Sarma

Oxford ICSB

No abstract provided.

Inc3vits Model: A Hybrid Architecture To Accelerate And Reduce Complexity For The Deepvariant Model For Variant Calling, Mustafa Al-Saffar, Sura Z. Al Rashid

Karbala International Journal of Modern Science

Deep learning has revolutionized genomic variant calling, yet the computational cost of current systems continues to limit scalability. We present a controlled efficiency study of DeepVariant-style pileup architectures under identical training and inference conditions, comparing architectural downsizing with a hybrid CNN–local attention design. Inc3ViTs pairs a streamlined InceptionV3 stem with a lightweight local attention head based on patch tokenization and windowed self-attention, enabling a direct comparison with a CNN-only reduced Inception baseline. Across whole-genome and whole-exome short-read datasets, Inc3ViTs reduces training time by ~40–50% and reduces inference runtime relative to the original DeepVariant. The CNN-only baseline indicates that most speedups …

Harnessing Hybrid-Ai For Real-Time Phishing Detection, Justin Villa

Student Research Symposium (SRS)

Phishing attacks have evolved into a sophisticated cybersecurity threat, targeting individuals and organizations through emails, websites and social media platforms. Current detection methods rely on predefined rules and deep learning models, but they struggle to identify new and evolving phishing techniques. This research proposes an adaptive hybrid AI approach that integrates Random Forest (RF) and Long Short-Term Memory (LSTM) neural networks. RF is effective for analyzing structured phishing data, while LSTM can detect patterns in sequential data, such as phishing messages. To improve accuracy and adaptability, we will incorporate adversarial training and explainable AI techniques. A key contribution of this …