Digital Commons Network^™

Investigating The Optical Qualities Of Aluminum Nanoparticles With Nd:Yag Pulsed Laser Ablation In Liquid Technology, Ban A. Bader, Muna Y. Slewa, Zaid T. Aldabbagh

AUIQ Technical Engineering Science

This research investigated the preparation of aluminum nanoparticles using pulsed laser ablation in liquid (PLAL). Ablation was performed on a metallic target in distilled water using a 532 nm Nd:YAG laser at different laser energies (400, 600, and 800 mJ) with a repetition frequency of 1 Hz and 300 pulses. A change in the solution's color is one of the first indicators of nanoparticle formation. We observed a change in the color of the deionized distilled water from light white to dark white, suggesting the production of aluminum nanoparticles. Furthermore, UV-VIS measurements showed an increase in the material concentration with …

The Operating System Of Resonance: A Blueprint For Cymatic Fluid Computing, Christopher L. Eckes

Defensive Publications Series

This document outlines the architecture for an analog, wave-based computing system that replaces binary silicon transistors with acoustic metamaterials and fluidic logic gates. The system processing loop operates via three distinct musical phases: The Chord (multi-frequency input tokenization), The Key (geometric context routing), and The Cadence (harmonic resolution and optical wave-collapse reading). By mapping semantic data directly onto physical sine wave interference patterns inside a vibrating silicone oil medium, this design introduces a zero-friction, hallucination-immune computational matrix buildable on a hobbyist garage budget.

The Elemental Transmutation Replicator: A Decentralized Blueprint For Closed-Loop Biometric Molecular Synthesis, Christopher L. Eckes

Defensive Publications Series

This white paper introduces a decentralized, zero-agriculture appliance architecture designed to synthesize tailored human nutrition directly from elemental feeds, ambient water vapor, and atmospheric carbon dioxide (CO₂). The Elemental Transmutation Replicator (ETR) bypasses traditional biological growth cycles by utilizing an ultra-vacuum Atomic Layer Deposition (ALD) chamber coupled with a Piezoelectric Acoustic Layering Matrix (PALM) to assemble pure amino acids, medium-chain triglycerides, and essential micro-nutrients atom-by-atom. System inputs are dynamically calibrated in real time via an integrated multi-spectral optical and dermal biometric scanning array. This paper details the structural architecture, the 5-stage synthesis loop, and the thermodynamic solutions required to overcome …

Conceptual Design Proposal: The Tethered Fusion-Driven Sail With Integrated Magnetohydrodynamic And Thermodynamic Energy Harvesting, Christopher L. Eckes

Defensive Publications Series

This paper proposes a deep-space vehicle architecture utilizing a tethered, fusion-driven "puller" configuration to eliminate beam-riding instabilities inherent in traditional laser sails. The design integrates a trailing nuclear-fusion tug that pulls a curved, light-reflective sail via a rigid, boron-doped multi-walled carbon nanotube (MWCNT) structural tether. To mitigate cosmic radiation and interstellar medium (ISM) degradation at relativistic velocities, the vessel employs a Particle-Ejection Mini-Heliosphere (M2P2) shield inflated by Yttrium Barium Copper Oxide (YBCO) high-temperature superconducting coils. System efficiency is optimized via a closed-loop energy harvesting matrix consisting of: (1) a three-layer thermodynamic hull utilizing Silicon Carbide (SiC) and Bismuth Telluride (Bi₂Te₃) …

System And Method For Generating Clinical-Trial Edit-Check Rules From Protocol Text With Prompt-Injection Defense, Narendra Nath Sarkar

Defensive Publications Series

A system and method translate clinical-trial protocol text into structured electronic-data-capture (EDC) edit-check rules (each rule expressed as field / operator / value / action with a severity, an action-on-violation, a confidence score, a human-readable rationale, and a provenance reference to the originating protocol span). Untrusted protocol text is hardened against prompt injection before any model is invoked, via length capping, control-character removal, a configurable set of injection-pattern filters, and role-marker stripping. Rule generation is a hybrid of (a) a deterministic knowledge-base pattern matcher and (b) an optional large-language-model (LLM) augmentation pass; generated rules are bound to a CRF (case …

Gci Cifrs‑N V4.0 — Universal Food‑Water‑Energy Nexus For Desert, Disaster, And Remote Deployment, Michael Victor Caldwell Mr.

Defensive Publications Series

The CIFRS‑N v4.0 Universal Nexus is a modular, skid‑mounted system designed to provide water, soil and nutrients, energy, and food production in extreme or resource‑limited environments:

• Hyper‑arid deserts

• Disaster zones (floods, earthquakes, conflict)

• Refugee camps

• Remote communities and off‑grid outposts

The system is presented in three build paths, so different teams can choose what they can realistically build:

Option A — Fully Buildable Today  

• Uses only off‑the‑shelf, proven technologies and simple fabrication.

Option B — Hybrid Real‑World + Near‑Future  

• Adds advanced but physically realistic modules inspired by the inventor’s prior work (Hyperion, VABR, Phoenix‑Cracker, Arachne, Omni‑Vortex, etc.).

Option C — …

Structural Mechanisms For A Modular Proactive Ai Cloud Operating System: Hierarchical Context Resolution, Anti-Fabrication-Bounded Narration, And Human-Confirmed Multi-Step Action (Icnli), Valentin Scerbacov

Defensive Publications Series

Deploying a foundation language model into a real operational domain — hosting, healthcare, finance, government, manufacturing, logistics — exposes a class of failures that the model layer cannot, by its probabilistic nature, eliminate: fabrication of facts never retrieved, unreliable multi-step action, loss of structured memory across sessions and channels, the absence of an enforceable human-control gate, and uncontrolled exposure of private data. This disclosure describes a set of structural mechanisms that bound these failures at a layer outside the model — the orchestration kernel — rather than attempting to train them away inside the model. The disclosed mechanisms are: (1) …

Active-Sleep (Dream-Enactment) Burden As A Longitudinal Self-Tracking Signal In Movement-Disordered Sleep (Rem Sleep Behavior Disorder / Parkinson's), Measured Over A Staging-Independent In-Bed Window Across Nights And Naps, Gerard Ziemski

Defensive Publications Series

A companion disclosure (the robust overnight-HRV method) computes a robust overnight heart-rate- variability (HRV) figure over the in-bed window by deliberately treating dream-enactment movement as artifact to be absorbed, so the recovery figure stays trustworthy in movement-disordered sleep. This disclosure describes the inverse, complementary use of the same movement-independent in-bed window: quantifying the movement-active ("dream-enactment" / "restless") segments themselves as the signal, and trending their burden over time. From the same in-window stream, the method derives an active-sleep-burden figure — for example the fraction of in-window time that is movement-active, and the count, duration, and timing of active episodes — …

Nap-Level Autonomic (Heart-Rate-Variability) Tracking And A Nap-Day Recovery Comparison For Daytime Sleepiness In Parkinson's Disease, Extending A Staging-Independent In-Bed-Window Method, Gerard Ziemski

Defensive Publications Series

A companion disclosure computes a single overnight resting-autonomic figure (heart-rate variability, HRV) over the in-bed window, independent of the device's sleep/wake staging and aggregated with a robust estimator (the median), so that movement misclassification in movement-disordered sleep cannot corrupt it. Daytime sleep — naps — is discarded by mainstream consumer trackers or folded into a daily total. Yet excessive daytime sleepiness and sudden-onset daytime sleep ("sleep attacks") are a recognized part of Parkinson's disease, so naps carry information specifically relevant to that population. This disclosure extends the method to every individual sleep session, night and nap alike: each session is …

Efficiency Improvement Of Rag Based Slm For Edge Devices, Pavan Prashanth Avanigadda

Master’s Dissertations

The increasing need to deploy language models on constrained devices has given rise to efficiency issues in retrieval-augmented generation (RAG) approaches. Although RAGs boost answers’ quality by retrieving knowledge from external sources, current methods utilize static retrieval mechanisms, resulting in unnecessary computation, higher latencies, and inefficiency in resource usage. In this work, an efficient RAG approach based on small language models (SLMs) is presented, which uses a efficient and adaptive retrieval scheme. This method dynamically changes the retrieval depth and context constrution based on the complexity of the query, using a trained MLP router whose routing decisions are learned from …

Developing A Model To Generate More Digital Data Of Indian Languages For Multilingual Applications, Arya Bagde

Master’s Dissertations

Most of India’s scheduled languages remain critically under-served by language technology because parallel (translated) text — the raw material that modern multilingual systems depend on — is extremely scarce. Back-translation can synthesise such data automatically, but its quality varies enormously, and unfiltered synthetic data can be worse than no data at all. This dissertation develops a framework that generates synthetic parallel data for four low-resource Indian languages spanning three language families and four scripts — Assamese (Indo-Aryan, Bengali script), Bodo (Tibeto-Burman, Devanagari), Manipuri (Tibeto-Burman, Bengali script) and Santali (Austroasiatic, Ol Chiki)—and introduces CASCADE, a learned multi-signal quality gate that scores …

Dynamic Property Ordering For Efficient Multi-Property Bounded Model Checking, Vivek Kumar

Master’s Dissertations

Formal verification plays a critical role in ensuring the correctness of modern hardware designs. As the complexity of digital systems increases, designs are often associated with a large number of verification properties that must be analyzed within limited computational resources. In conventional multi-property bounded model checking (BMC), all properties are verified simultaneously. While this approach enables parallel analysis, difficult properties can consume a disproportionate amount of resources, causing simpler properties to be delayed and reducing the overall efficiency of bug detection. This thesis presents dynamic property ordering techniques for efficient multi-property verification using SAT-based bounded model checking in the ABC …

Kin A487: Administration & Supervision In Kinesiology, T. J. Miller

Publications

Critiques and evaluates the technical, leadership, and supervisory skills necessary to safely and effectively administer kinesiology-related programs. Presents theoretical, practical, and research perspectives. Special Note: Community engagement & Interviews will be required.

Table Of Contents

Maryland Law Review

No abstract provided.

Amicus Brief Superficially In Support Of Thaler’S Petition For Certiorari (Which I Guess I’M Not Going To File Now), Brian L. Frye

Maryland Law Review

No abstract provided.

The Boundaries Of Corporate Politicking, Ashlee A. Paxton-Turner

Maryland Law Review

No abstract provided.

In The Race Between The Federal Government And The States To Regulate Ai, Big Tech Is The Winner, Matthew Berger

Maryland Law Review

No abstract provided.

The Key Bridge Collapse: An Opportunity To Reel In Shipowners’ Protections, Elliott Lagorce

Maryland Law Review

No abstract provided.

State Climate Superfunds: States Are Not Powerless To Hold Polluters Accountable, Daniel Milovic

Maryland Law Review

No abstract provided.

Interseismic Creep Along The Enriquillo–Plantain Garden Fault, Haiti, Estimated From Insar, Rishabh Dutta, Jeremy L. Maurer, Yi Chieh Lee

Geosciences and Geological and Petroleum Engineering Faculty Research & Creative Works

The Enriquillo–Plantain Garden fault zone (EPGFZ) is a major left-lateral strike-slip fault in southern Haiti hosting several recent destructive earthquakes, including the 2021 MW 7.1 Nippes event with primary thrust-slip. To investigate how strain is accommodated in the vicinity of the 2021 event, we analyzed Sentinel-1 interferometric synthetic aperture radar (InSAR) data from 2017 to 2021 using a PS + DS (persistent + distributed scatterers) InSAR time-series approach to overcome decorrelation in this highly vegetated region. We reveal interseismic creep along the EPGF and adjacent Grand'Anse–Sud border faults, with pure strike-slip mechanism and rates up to 9 mm/yr. We suggest …

Book Review - Violent Impacts: How Power And Inequality Shape The Concussion Crisis, Samuel M. Clevenger

Global Sport Business Journal

Kathryn Henne and Matt Ventresca’s Violent Impacts critically examines how narratives surrounding CTE, TBI, and the concussion crisis are constructed across sport, the military, law, media, and science. Drawing on intersectional feminism and science and technology studies, the authors show how dominant concussion discourses privilege the experiences of White male athletes while marginalizing other groups. Based on extensive fieldwork, the book makes an important contribution by exposing representational inequalities and highlighting the intersectional gender politics of concussion research and public debate.

Empirical Analysis On Multi-Agent Reinforcement Learning Frameworks, Jordan Jiosi

Theses and Dissertations

Increasingly, automated agents operating in the physical world are expected to perform previously unseen tasks at levels comparable to human experts. Solutions to these challenges typically fall along a spectrum between model-based and model-free reinforcement learning (RL) approaches. Encouraging expert-like behavior in reinforcement learning is often difficult because reward functions can be challenging to specify accurately. Inverse reinforcement learning addresses this problem by inferring reward functions directly from expert demonstrations rather than relying on manually engineered objectives. This thesis examines the performance of both on-policy and off-policy model-free reinforcement learning algorithms, including Proximal Policy Optimization (PPO) and Deep Deterministic Policy …

A Rho5-Cnc1-Dnm1 Signalling Module Coordinates Multi-Organelle Execution Of Regulated Cell Death In Yeast, Justin Bauer

Theses and Dissertations

Regulated cell death is a conserved process with major implications for health and disease, yet how yeast cells integrate stress signals to determine survival versus death remains unclear. This thesis investigates Cyclin C (Cnc1), a conserved Mediator kinase module component with both transcriptional and mitochondrial roles. Together with Cdk8 Cnc1 primarily represses stress response genes, while upon stress it translocates to the mitochondria to induce mitochondrial fragmentation with the dynamin-related GTPase Dnm1. Using structure-guided separation-of-function mutants, I demonstrate that Cnc1-dependent death requires its mitochondrial function rather than its transcriptional role, and that its effector Dnm1 acts as a signaling node …

Anatomy And Function Of Vasopressin Receptor 1a-Expressing Neurons In The Limbic Thalamus, David Joseph Kahn

Theses and Dissertations

The vasopressin (Avp) system modulates social behavior through region-specific and sex-dependent mechanisms, yet the role of Avp receptor 1a (Avpr1a) signaling in the thalamus has remained largely unexplored. This dissertation examined the distribution and functional contributions of Avpr1a-expressing neurons across the mouse thalamus using a combination of genetic labeling, anatomical quantification, and chemogenetic manipulation. Mapping of Avpr1a-expressing neurons revealed a presence in most thalamic nuclei, with highest densities in the anterior thalamic nuclei and midline nuclei. Notably, Avpr1a-expressing neuron densities did not mirror previously described patterns of Avp innervation, and no sex differences in Avpr1a-expressing neuron density were observed. Chemogenetic …

Extracurricular Video Game Use And Academic Achievement: A Systematic Literature Review, Christina Hartman, Theo Makanoa, Lucas Thoms, Aidan Lowry, Kaleb Chandler

English Student Research

A good deal of research exists on the relationship between student use of video games outside the classroom and academic achievement. Our systematic review aims to identify what patterns exist across research conducted in the last 20 years. We examined 62 research studies that dealt with academic achievement and extracurricular video game use and found that most studies identify a negative association between the two. However, this isn’t the case for all students. We identified three important variables (the amount of time spent playing video games, the time of day or week spent playing, and the age of the students) …

New National Publication Gives Guidance To Teachers On Ai, Clara Turnage

University of Mississippi News

OXFORD, Miss. – With artificial intelligence tools available on every phone, laptop and tablet, higher education has struggled to implement consistent recommendations for how and when AI can be used. A new national guide seeks to change that.

Automated Alerts To Improve Timely Evaluation And Treatment Of Valvular Heart Disease: The Alert Trial., Wayne B Batchelor, Brian R Lindman, Megan Coylewright, Antoine Keller, Brody Wehman, Adnan Chhatriwalla, Sandeep M Patel, Kevin Stiver, Firas Zahr, Miguel Sotelo, Dongho Shin, Chris Rogers, Graeme L Hickey, Jamie Williams, Myra Fan, Sreekanth Vemulapalli

Medical Education Articles

BACKGROUND: Severe aortic stenosis (AS) and mitral regurgitation (MR) are frequently undertreated and characterized by persistent sex, racial and ethnic, socioeconomic, and geographic disparities despite effective valve therapies. Whether automated electronic clinician notification (ECN) alerts improve the evaluation and treatment of AS and MR across health systems is unknown.

OBJECTIVES: The purpose of this study was to evaluate whether ECN alerts improve guideline-directed evaluation and treatment of significant AS and MR across multiple health systems.

METHODS: ALERT is a multisystem, cluster-randomized clinical trial including clinicians ordering echocardiograms across 5 U.S. health systems encompassing 35 hospitals between August 2024 and September …

From Innovation To Speculation: Ai And The Magnificent Seven, Rerotlhe B. Basele, Peter C. B. Phillips, Shuping Shi

Cowles Foundation Discussion Papers

The AI boom has driven the Nasdaq and the Magnificent Seven tech stocks to record highs. But how much do these new records reflect underlying value, how much is speculation, and how vulnerable are these stocks and the wider market to a major downturn? Our evidence and analyses show clear signs of bubble exuberance in most of these stocks, concentrated in a few names like Nvidia, leading to latent risks for investors who assume their index funds are safely diversified and supported by wider economic fundamentals.

D-Methionine Improves Spatial Navigation And Attenuates Oxidative Stress And Amyloid Pathology In A Sex-Specific Manner., Mackenzie R Peck, Jenelle E Chapman, Tiarra Hill, Kathleen Quinn, Erol D Ikiz, Angel Lopez, Erin R Hascup, Chilman Bae, Kevin N Hascup

Articles

Background

Oxidative stress and maladaptive neuroimmune activation contribute to cognitive decline in Alzheimer's disease (AD) and represent therapeutic targets beyond amyloid-centered approaches.

Objective

To determine whether oral D-methionine (D-Met), a redox-active amino acid, reduces amyloid pathology and lipid peroxidation and confers disease-modifying benefits in AD models.

Methods

Male and female APP/PS1 and APP^NL−Fmice with advanced AD pathology received oral D-Met or vehicle. Behavioral assessments included locomotor activity and hippocampal-dependent spatial learning and memory. Amyloid burden, lipid peroxidation, peripheral metabolic, and inflammatory markers, and hippocampal microglial phenotypes were evaluated.

Results

D-Met did not alter locomotor or exploratory behavior but …

June 16, 2026 Ereporter, University Of Alabama At Birmingham

eReporter (campus newsletter)

No abstract provided.