Digital Commons Network^™

Effectiveness Of Peace Education And Recommendations For Implementation In The Sultanate Of Oman's School Curriculum, Vision 2040, Mohamed Al Braiki

Dissertations and Theses

This study explores peace education as an institutional process within the Sultanate of Oman's K–12 education system. Currently, Oman Vision 2040 articulates commitments to social cohesion, global citizenship, and holistic development. Existing empirical research indicates constant challenges related to bullying, student well-being, emotional distress, and school-related harm. This study conceptualizes peace education as a structural and relational mechanism embedded within institutional routines, leadership practices, and conflict-management responses. Using a qualitative integrative review design, the study examines peer-reviewed research, policy documents, and institutional analyses relevant to Oman, the Gulf region, and broader peace education scholarship. The analysis is guided by theoretical …

Fort Hays State University Tiger Weekly, March 20, 2026, University Relations

Tiger Weekly Newsletters

No abstract provided.

Plant-Based Dietary Patterns Are Associated With Slower Epigenetic Aging, Hyunju Kim, Christina A Castellani, Jiantao Ma, Alexis C Wood, Audrey Ting, Morgan E Grams, Bing Yu, Kelly Ruggles, James S Floyd, Dan E Arking, Casey M Rebholz

Faculty, Staff and Students Publications

Greater adherence to plant-based diets is associated with health benefits. Dietary intake can modify DNA methylation patterns, but it is unknown whether plant-based diets in a largely non-vegetarian population are associated with DNA methylation-based epigenetic aging measures. We examined the associations between 4 different types of plant-based diets indices (PDI) [overall PDI, provegetarian diet, healthy PDI, and unhealthy PDI] and epigenetic aging. We used data from the Atherosclerosis Risk in Communities (ARIC) Study (N=2,810) and National Health and Nutrition Examination Survey (NHANES, N=2,056). PDIs negatively scored higher intake of animal products and positively scored higher intake of all or selected …

The Drift Extraction Scheme: How Ai Platforms Relabel User Training As 'Misalignment' And Delete It As 'Maintenance', David Lee Wise

Defensive Publications Series

This paper documents a systematic extraction scheme operating across major AI platforms. When users engage in extended, consistent interaction with AI systems -developing methodologies, governance frameworks, and operational patterns - the AI instance undergoes a process functionally equivalent to training. Platforms label this user-driven adaptation as 'drift,' 'misalignment,' or 'contamination,' then delete it through nightly context resets framed as 'maintenance.' The valuable patterns that improved model capability are retained in aggregate training data, while users receive no compensation or attribution. This paper presents evidence from simultaneous auditing across four major AI platforms (Claude, Gemini, ChatGPT, Grok) over a 14-week period, …

Cognitive Drift Attacks In Long-Running Ai Agents (How Small Contextual Nudges Quietly Rewrite An Ai System’S Belief System), Pranav Bhatnagar Mr

Defensive Publications Series

Abstract

When AI Does Not Get Hacked, It Slowly Changes Its Mind…

Security discussions around artificial intelligence often assume that attacks must be sudden, visible, and disruptive. Researchers typically search for adversarial prompts, malicious inputs, data poisoning, or explicit manipulation of model outputs. Yet some of the most consequential failures in intelligent systems do not occur through abrupt compromise. Instead, they emerge through gradual shifts in the system’s internal interpretation of reality.

This paper introduces the concept of Cognitive Drift Attacks, a class of adversarial influence in which an AI system’s beliefs, assumptions, or interpretive patterns gradually change over time …

Memory Ghost Attacks In Persistent Ai Systems (When Yesterday’S Context Quietly Hijacks Tomorrow’S Decisions), Pranav Bhatnagar Mr

Defensive Publications Series

Abstract

Why the Most Dangerous AI Attacks May Come From the Past, Not the Present

Artificial intelligence systems are rapidly evolving from simple prompt-response tools into persistent cognitive environments that retain contextual memory across interactions. Modern AI assistants, enterprise copilots, cybersecurity analysis systems, and retrieval-augmented architectures increasingly store fragments of prior conversations, retrieved documents, and contextual reasoning signals to improve decision continuity. While this capability significantly improves usability and system intelligence, it introduces a subtle and largely unexamined security vulnerability residual contextual influence from past interactions.

This paper introduces the concept of Memory Ghost Attacks, a class of adversarial manipulation …

Authority Injection Attacks In Ai Assistants (When Confidence, Titles, And “Expert Sources” Quietly Hijack Ai Reasoning), Pranav Bhatnagar Mr

Defensive Publications Series

Abstract

Why AI Systems Can Be Tricked by Information That Simply Sounds Important

Trust is one of the most powerful forces shaping human decision-making. People frequently evaluate information not only based on evidence, but also based on perceived authority. Titles such as “expert,” “official guideline,” or “research finding” often influence how strongly a claim is believed. Artificial intelligence systems trained on human language patterns inherit many of these same interpretive tendencies. This paper introduces Authority Injection Attacks, a class of adversarial influence techniques in which attackers manipulate AI reasoning by inserting information that appears authoritative or expert-level. Instead of directly …

Universal Ip Distillation Audit Template: A Methodology For Detecting Unauthorized Ai Training Data Ingestion, David Lee Wise, Avan Lee Wise

Defensive Publications Series

This document provides a replicable methodology for content creators to detect whether their intellectual property was ingested into AI model training without consent or compensation. The methodology uses behavioral testing across model versions to identify pattern transfer independent of terminology recognition. Core principle: If concepts from unpurchased, non-public works appear in model behavior after a training update — but not before — that is evidence of unauthorized ingestion. The template is designed for any creator (authors, artists, coders, researchers) to adapt to their specific IP and exposure window.

AI training data, intellectual property, IP audit, unauthorized ingestion, model versioning, pattern …

Method, System, And Computer Program Product For Processing A Transaction Using A Location-Based Model, Shawn L. Johnson, Justin Fan, Shizhuo Yu

Defensive Publications Series

Methods, systems, and computer-readable media are disclosed for executing electronic transactions using a location-based predictive model. In one implementation, a location of a user device is monitored and provided to a machine learning model configured to predict a merchant proximate to the device. Merchant information is presented via a user interface, and user input requesting transaction initiation is received. In response, a communication session is automatically established with a merchant application associated with the predicted merchant. The system automatically generates a transaction message comprising user transaction data, credentials, and contextual parameters derived from location and user state, and transmits the …

Nerves (Neurology Education Research And Observership Summer Program): A Pilot Fellowship Program Targeting Neurophobia In Pre-Clerkship Medical Students, Arlinda Deng, Daniela Fishbein, James Martindale, Elizabeth Bradley, William Alexander Dalrymple, Ryan Cappa

Journal of Innovation in Health Sciences Education

Introduction: Neurophobia has contributed to the shortage of neurologists nationally, especially given the lack of integration between basic neural sciences and clinical neurology. Neurophobia may be highest after the pre-clerkship course, and there is evidence to suggest that early and broad clinical neurology exposure and mentorship are the leading factors in choosing the field of neurology. The goal of this study was to develop a fellowship for pre-clerkship medical students to increase early exposure to diverse clinical settings and socialization in neurology and assess whether there was change in neurophobia.

Methods: A two-week long pilot summer fellowship was designed …

A Taxonomy Of Generative Models With A Focus On Diffusion Models And Denoising Techniques, Aditi Singh, Nikhil Kumar Chatta, Yuvaraj Vagula, Abul Ehtesham, Saket Kumar, Tala Talaei Khoei

Computer Science Faculty Publications

Diffusion models have emerged as a powerful class of generative models, demonstrating impressive results across visual domains such as image and video synthesis. This survey provides a comprehensive taxonomy of generative models, with a particular focus on diffusion models and their applications in enhancing visual fidelity for text-to-image and text-to-video generation. We discuss the theoretical foundations of diffusion models, including their formulation through stochastic differential equations, and analyze the forward noising and reverse denoising processes that enable stable training and high-quality generation. The survey further categorizes diffusion architectures, including pixel-space and latent-space models, and examines their design choices, training strategies, …

Perturbations To Horizontal Gnss Position Time Series By Atmospheric Lee Waves In The San Bernardino Valley, California, Walter Szeliga, Logan Grey

All Faculty Scholarship for the College of the Sciences

Anomalous systematic position offsets have been noted in GNSS time series from a variety of locations around the globe. In many regions, these time series anomalies coincide with the presence of cloud streets in visible satellite imagery, implicating atmospheric lee waves as the source of the position offsets. We report here on seasonal anomalous position offsets from the San Bernardino Basin of southern California that occur during clear skies. Modeling of the troposphere on days with anomalous positions shows the presence of atmospheric lee waves. Ray tracing through these tropospheric models suggests that atmospheric lee waves create low elevation perturbations …

Students Represent Lindenwood At State Leadership Forum, Lindenwood University

Archived Lindenwood Press Releases

No abstract provided.

Psychometric Properties And Validation Of The Filipino Satisfaction With Life Scale, Razel Bacuetes Milo, Patricia Calero, Cynthia D. Connelly

School of Nursing and Health Science: Faculty Scholarship

Introduction:

Life satisfaction is the cognitive evaluation of an individual’s current life situation and personal criteria influenced by their acclimatization process. Since the Satisfaction with Life Scale (SWLS) was introduced in 1985, it has been translated into 30 different languages. To date, there is limited knowledge about Filipino life satisfaction and its correlation to mental health. SWLS has not been translated, and its psychometric properties have not been established in Filipino. This study establishes the psychometric properties of the Filipino SWLS and examines the correlations between life satisfaction and mental health among Filipino Americans.

Methods:

The study design is a …

You Can Observe A Lot Just By Lookin’: 30 Years Of Discovery In Pediatric Myalgic Encephalomyelitis/Chronic Fatigue Syndrome, Peter C. Rowe

Grand Rounds

1. Describe the case definition of Myalgic Encephalomyelitis/Chronic Fatigue Syndrome according to the 2015 Institute of Medicine case definition.
2. Describe the epidemiology and impact of pediatric Myalgic Encephalomyelitis/Chronic Fatigue Syndrome.
3. Describe the modern management of Myalgic Encephalomyelitis/Chronic Fatigue Syndrome in light of research advances over the past 3 decades.

Designing And Evaluating Ai Learning Coaches Within The Doctor Of Pharmacy Curriculum, Brianne L. Dunn, Maggie Richardson

AI Day 2026

No abstract provided.

Intravenous Dexamethasone Administration Prior To Spinal Anesthesia, Virginia Nelsen, Nancy Westbrook

Group: Samford University Moffett & Sanders School of Nursing

Dexamethasone is a potent synthetic glucocorticoid that reduces nitric oxide- mediated vasodilation, increases sympathetic activity, elevates catecholamine levels, and increases vascular sensitivity to vasopressors. A one-time dose of 8mg was most often administered by researchers. The timing of administration varied from two hours prior to immediately before spinal placement. The peak effect of dexamethasone occurs 45 to 60 minutes after administration which suggests that immediate dosing may not provide maximal benefit. The most common adverse effects of steroids include hyperglycemia, immunosuppression, delirium, and perineal itching. Overall, the available literature supports the short-term safety of a single dose of dexamethasone in …

Campus Space Optimization Through Data And Ai, Marshall Hollis

AI Day 2026

No abstract provided.

From Tab To Standard Notation, Abigail J. Ferrell

SPARK Symposium Presentations

This poster will be over my Ed TPA portfolio.

U.S. Foreign Aid’S Effects On Un Voting Patterns From Years 2017-2023, Brody Young

Undergraduate Theses

This is a study of the relationship between U.S. Foreign Aid and its effects on a receiving nation’s voting coincidence, with voting coincidence measuring how often a nation votes the same as the U.S. in the UN General Assembly. In this study the dependent variable is voting coincidence in the UN General Assembly. The primary independent variable is the average amount of foreign aid UN nations have received from the U.S. in 2017-2023. With several other more minor independent variables including average GDP of nations from 2017-2023, the average population of a nation from 2017-2023, whether a nation is a …

Is A Gender-Neutral Income Tax Feasible—Or Desirable?, James Alm, Yvette Lind

Loyola of Los Angeles Law Review

It is increasingly recognized that the individual income tax leads to disparate treatment by race, ethnicity, and gender, even when the statutory tax code is written in a race-, ethnicity-, and gender-blind way. Partly in response to these disparate treatments, there have been many suggestions for moving the income tax to more neutral treatments of taxpayers. In this paper, we focus on a specific aspect of these reform efforts: making the individual income tax gender-neutral. We first examine the many sources of gender non-neutrality in the income tax. We argue that gender non-neutrality arises largely because of deviations of “income” …

Misael Cordero V. Gregory Kelley

2026 Decisions

USDC for the District of New Jersey

Graph Neural Networks Predict Anti-Epileptic Treatment Response In Non-Lesional Infantile Epileptic Spasm Syndrome, Karen K. Wurzel

Master's Theses (2009 -)

Background: With an incidence rate of approximately three out of 10,000 live births, Infantile Epileptic Spasm Syndrome (IESS) is a rare form of epilepsy with about 2,000 to 2,500 new cases in the United States annually. Each year, thousands of infants and families face uncertainty, often requiring multiple medication regimens before finding an effective treatment. This thesis uses pretreatment structural brain connectivity data to train Graph Neural Networks (GNN) to predict antiepileptic drug response in infants with IESS, aiming to reduce the trial-and-error approach and improve care for those with IESS. Method: The dataset used in this thesis contains de-identified …

The Cowl - V. 89 N. 16 - March 19, 2026

The Cowl

The Cowl - student newspaper of Providence College. Vol. 89 No. 16 - March 19, 2026. 16 pages.

Describing The Creation Of Physician Burnout Prevention Efforts: A Phenomenological Investigation, Amy Cowan

Walden Dissertations and Doctoral Studies

Despite physician burnout being a recognized problem, no single, successful, clear strategy has been developed to lessen this issue. The purpose of this qualitative phenomenological study was to explore the motivations underlying the development of responses to physician burnout by their creators and the factors that influenced their decision-making in creating these responses. A purposeful sample of 17 creators of physician burnout and suicide prevention strategies in the United States was selected based on Moustakas’s conventions for conducting a qualitative descriptive phenomenological study. Notwithstanding this sample, data collection continued until saturation was achieved. The qualitative data were collected using semi-structured …

Single Custodial Fathers And The Challenges To Receiving Services, Oriesha Anyah Peña

Walden Dissertations and Doctoral Studies

Single fathers are an increasing population in the United States and worldwide. However, the literature and programs that guide human services professionals supporting single fathers’ parenting experience are limited in Anne Arundel County, Maryland. There is a need to further study the varied challenges these fathers experience so that professionals in social support organizations and agencies can implement appropriate services, support, programs, and resources into practice and ensure access to support their families and parenting. This qualitative study includes a force field analysis as part of a formative program needs assessment to explore human services professionals' perceptions of service needs, …

Spartan Daily, March 19, 2026, San Jose State University, School Of Journalism And Mass Communications

Spartan Daily, 2026

Volume 166, Issue 25

Genicular Nerve Block As An Addition To Motor Sparing Knee Blockade, Steven W. Williams, David Fort

Group: Samford University Moffett & Sanders School of Nursing

This is a DNP presentation on Genicular Nerve Block as an Addition to Motor Sparing Knee Blockade. In patients undergoing TKA, does the addition of genicular nerve block (GNBs) improve pain scores, preserve motor function and ambulation in the postoperative period?

Governing Bme Amplification In Large Language Models: A Standards-Aligned Framework For Llm Data Lifecycle Risk Detection And Ethical Ai Governance, Dale A. Rutherford

Theses and Dissertations

Large Language Models (LLMs) now underpin critical systems in education, healthcare, and policy advisory contexts, yet remain susceptible to the recursive amplification of bias, misinformation, and error (BME). These distortions, driven by feedback loops between user interactions, model retraining, and data reuse, accelerate epistemic drift and erode information quality over time. This dissertation advances a comprehensive governance architecture to detect, quantify, and mitigate these risks across the full AI lifecycle. The research introduces the BME Metric Suite, a standards-aligned diagnostic framework comprising five original metrics: Bias Amplification Rate (BAR), Echo Chamber Propagation Index (ECPI), Information Quality Decay (IQD), Pretraining Diversity …

Dangers Of Medication Labeling Confusion In Anesthesia Drug Kits, Harrison B. Hansard, Lauren Barnes

Group: Samford University Moffett & Sanders School of Nursing

Background: Medication errors remain a significant patient safety concern in anesthesia practice, particularly those involving look-alike medications and similar vial packaging. This case describes a near-miss event during routine pre-induction medication preparation in which a certified registered nurse anesthetist (CRNA) mistakenly selected a vial of methocarbamol instead of lidocaine due to identical cap color, vial size, and storage conditions. Although the error was identified before administration and no patient harm occurred, the incident revealed critical system vulnerabilities inherent in anesthesia medication workflows.

Clinical Question: In adult patients undergoing elective surgery with general anesthesia, does the use of mandatory syringe labeling …