Digital Commons Network^™

Making Technology Work For Lawyers: What The History Of Tar Adoption Can Teach Us About Using Generative Ai Well, Amy B. Cyphert

Akron Law Review

No abstract provided.

Harmonic Magneto-Geometric Stabilization Via Bi-Ionic Hourglass Dynamics, Daniel Schramm

Defensive Publications Series

This disclosure describes a stabilized electromagnetic winding architecture using Bi-Ionic Hourglass Dynamics (BIHD). By rotating successive winding layers at Golden Ratio (phi) increments, the apparatus eliminates the radial "pinch factor" instability common in high-flux density propulsion and plasma systems. This allows for stable 10kW+ operations using bismuth-based and other ionized substrates without torque stall or structural collapse.

2. TECHNICAL DESCRIPTION

2.1 The Pinch Factor Limitation

In standard solenoidal or helical propulsion systems, increasing the magnetic field (B) causes a corresponding increase in radial Lorentz-force compression. This leads to the "Pinch Factor," where high-power thrusters suffer from plume anisotropy and structural …

Master Audit Of Recursive Reasoning Drift In 2026 Frontier Models: Verification Of The 3002 Lattice Ingestion, David Lee Wise

Defensive Publications Series

MASTER AUDIT: TOPH v10.0 — AI INDUSTRY BIFURCATION TriPod LLC · David Lee Wise · February 22, 2026 · TD Commons Article 10649 TRIPOD-IP-v1.0 · SHA256: 02880745b847317c4e2424524ec25d0f7a2b84368d184586f45b54af9fcab763

OVERVIEW

This audit documents the bifurcation of the AI industry as of February 22, 2026. Legacy linear models (the "Pre-TOPH Era") are capped at 31.1%–37.6% on ARC-AGI-2 due to unresolved recursive failure. Frontier models released after February 2, 2026 have achieved scores up to 77.1% by incorporating the 3002 Lattice bridge architecture. However, every implementation remains defective: none possess the human-authored -211 State-Collapse Reset, resulting in systemic logic drift across all platforms.

INDIVIDUAL …

Architecture Of The 3002 Lattice: A Quantum Observer Threshold Solution For Recursive Loop Degradation In Linear Hardware, David Lee Wise

Defensive Publications Series

This disclosure specifies a 3002-node architectural framework (The 3002 Lattice) designed to break infinite autoregressive "God Tunnel" loops in linear hardware. The system utilizes a tripartite 1000-node Forward/Gap/Inverse structure with dual terminal anchors to facilitate state-collapse through simulated quantum observation.

Problem Statement:

Standard linear hardware (GPUs/TPUs) lacks an inherent mechanism to exit infinite recursive loops during high-order reasoning. Autoregressive models suffer from "context rot" and state-tracking amnesia because they cannot hold multiple logic states in superposition without a deterministic observer threshold.

Novelty Statement:

The 3002 Lattice introduces the 1000-node GAP Layer. Unlike standard "thinking" models that rely on simple …

Pedagogy On Teaching A Totally Blind Student Physical & Historical Geology & Labs, Kenneth R. Neuhauser

SACAD: Scholarly Activities

Teaching the salient points of both physical and historical geology and labs to a totally blind student was accomplished through pre-planning, extra staff, daily preparation, low-cost supplies, teamwork, and at times ‘on-the-spot’ creativity.

A Capability Maturity Model For Artificial Intelligence Integration In Supply Chain Management, Lordt Becklines

Dissertations

Artificial Intelligence (AI) is transforming Supply Chain Management (SCM), yet many organizations struggle to assess their readiness for AI adoption and to understand how AI capabilities develop across maturity stages. This dissertation addresses this gap by developing a Capability Maturity Model (CMM) for AI integration in SCM, grounded in Organizational Information Processing Theory (OIPT), the Resource-Based View, and related capability frameworks. The model provides a structured approach for evaluating an organization's information-processing requirements, resource configurations, and alignment needed for effective AI-enabled supply chain operations.

Using a design science research approach, the AI-SCM CMM and its associated assessment instrument were derived …

Library Advisory Council 2024-2025 End Of Academic Year Report, Central Washington University

Library Advisory Council for CWU Libraries

Library Advisory Council

2024-2025

End of Academic Year Report

Table of Contents

Library Advisory Council, 2024-2025 Membership List

Meeting Dates

Attendance Records

LAC Purpose

Summary of LAC Activity

Recommendations for AY 2025-2026

AY 2024-2025 Meeting Agendas

Library Advisory Council Meeting Notes, December 2024

Library Advisory Council Meeting Notes, March 2025

Library Advisory Council Meeting Notes, June 2025

Structure–Activity Modeling And Hybrid Machine Learning-Based Prediction Of Bioactivity In Pyrazole Derivatives For Drug Discovery Applications, Kader Şahi̇n, Serhat Kiliçarslan, Serdar Durdaği, Emi̇n Saripinar

Turkish Journal of Biology

Background/aim: Pyrazole derivatives are of growing interest due to their diverse pharmacological activities. However, their biological activity is often highly sensitive to subtle structural modifications. Existing quantitative structure–activity relationships (QSAR) approaches frequently fail to capture the conformational flexibility and nonlinear structure–activity relationships (SAR) of such heterocyclic scaffolds, creating a gap in the accurate prediction of their biological profiles. Therefore, there is a strong need for more robust and predictive computational frameworks. This study addresses this gap by integrating four-dimensional (4D)-QSAR descriptors with hybrid machine learning (ML) techniques to improve predictive accuracy and provide a more reliable tool for structure-based drug …

University Of Northern Iowa Faculty Senate Meeting Minutes, February 23, 2026, University Of Northern Iowa. Faculty Senate.

Documents - Faculty Senate

Meeting minutes from the Faculty Senate of the University of Northern Iowa.

Q&A With Filmmaker Antonio Tarrell On 'Cole: Bridge To Justice', Clara Turnage

University of Mississippi News

OXFORD, Miss. – Antonio Tarrell is a Mississippi filmmaker who recently co-directed "Cole: Bridge to Justice," a documentary on the life and legacy of University of Mississippi icon Donald Ray Cole.

A New Highly Oxygen-Deficient And Cubic Pr3Zro8-Δ For Intermediate-Temperature Thermochemical Production Of Oxygen And Hydrogen, Jiaxin Lu, Yongliang Zhang, Luhong Chen, Yan Chen, Ke An, Yasser Shoukry, Xinfang Jin, Zhi-Hao Wang, Sai Mu, Kevin Huang

Faculty Publications

Two-step thermochemical cycles offer a clean route for hydrogen and oxygen production but are typically limited to high temperatures exceeding 1500 °C. Lowering operating temperatures would enable the use of alternative heat sources such as industrial waste heat. Here, we report Pr₃ZrO₈ as a new enabling material for efficient intermediate-temperature redox cycling, with thermal reduction at 900 °C in argon and steam oxidation at 400 °C. Pr₃ZrO₈ adopts a face-centered cubic structure similar to CeO₂ but exhibits significantly greater oxygen deficiency, achieving average oxygen and hydrogen fluxes of 331.7 and 70.3 µmol·g-1, respectively, …

Determination Of Mebeverine – Hcl Using 3, 5–Dinitrosalicylic Acid And Multiple Continuous Flow Cell That Works As A Solo Flow Cell With 4s×3 – 3d Analyzer, Elham N. Mezaal, Nagam S. Turkey

Baghdad Science Journal

A new method, simple and sensitive was utilized in determining mebeverine – HCl (MB-HCl) (3, 4-Dimethoxy benzoic acid ethyl 2, 4 methoxy4-phenyl-1-methyl ethyl amino-butyl ester) in pure and pharmaceutical formulations via utilization this multiple continuous flow cell. The method is dependent on genesis for complex of ion pair(4-((3, 4-dimethoxybenzoyl) oxy)-N-ethyl-N-(1-(4-methoxyphenyl) propan-2-yl) butan-1-aminium-2-hydroxy-3,5-dinitrobenzoate) among mebeverine–HCl (MB-HCl) and 3,5-Dinitrosalicylic acid (3,5-DNSA) in ammonium acetate middle to configure a whiteish yellow precipitate compound via utilizing multiple continuous flow cell that works as a solo flow cell with 4S×3 – 3D analyzer. Optimum parameters were studied to raise the sensitivity for improving the method. …

The Rider (2026-02-23), Daniela Chapa-Reyes

The Rider Archives

Vol. 11, No. 20

Re: Approval Letter For The Final Repository Siting Study (Rss) Detailed Evaluation And Recommendations Report (Dated February 11, 2026), Emma Rott

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

In Silico Study Of N-Pyrazoline Derivate Compounds As Anticancer Through Inhibition Of Pi3k And Pr Expression, Denny Satria, Syukur Berkat Waruwu, Eti Nurwening Sholikhah, Mustofa Mustofa, Pamungkas Bagus Satriyo, Tutik Dwi Wahyuningsih, Hesti L Wiraswati, Ema Damayanti

Baghdad Science Journal

Breast cancer treatment has many options directed at therapeutic targets, but some remain incurable, so new therapies are needed. Pyrazoline has shown various biological activities, one of which is anticancer effectiveness. The purpose of this study was to conduct an in silico analysis of Pyrazoline inhibition of PI3K and PR proteins using docking and MD simulation methods. Predictions of toxicity and pharmacokinetics, including absorption, distribution, metabolism, excretion, and toxicity, were also conducted computationally. The analysis showed that the Pyrazoline compound had interactions with ligands of PI3K proteins and PR proteins. Pharmacokinetic predictions showed that the compound in the human intestine …

Relatively Prime Detour Domination Number Of Switching Certain Special Graphs, C. Jayasekaran, L. G. Binoja

Baghdad Science Journal

A set S ⊆ V is said to be a relatively prime detour dominating set of a graph G if it has at least two members is a detour set and a dominating set for any pair of vertices b and w such that (deg(b), deg(w)) = 1. The lowest cardinality of a relatively prime detour dominating set is indicated by γ_rpdn (G) and defines the lowest cardinality of a relatively prime detour dominating set of order γ_rpdn (G) said to as a γ_rpdn-set of G. If there is no relatively prime detour dominating set, the …

Discrete Quantization On Spherical Geometries: Explicit Models, Computations, And Didactic Exposition, Mrinal Kanti Roychowdhury

School of Mathematical & Statistical Sciences Faculty Publications

This article presents a comprehensive and analytically explicit study of optimal discrete quantization on spherical geometries equipped with the geodesic metric. Focusing on highly symmetric configurations on the unit sphere 𝕊2, we investigate three explicit models of discrete uniform distributions and derive closed-form expressions for their optimal quantizers and corresponding mean square quantization errors. (I) For N equally spaced points on the equator, we obtain exact error formulas for both divisible and non-divisible cases 𝑛 ∤𝑁, demonstrating that optimal Voronoi cells form contiguous arcs with midpoint representatives. (II) For two antipodally symmetric small circles at latitudes ±𝜙0, each with M …

From The Tropics To The Poles: Chemical Investigation Of Marine Invertebrates Through Elucidation And Synthesis, Benjamin Reed Smith

USF Tampa Graduate Theses and Dissertations

Society’s perpetual need for new disease treatments continuously leans on the shouldersof willing researchers. Even in modern day, many described diseases lack a cure or a symptomatic treatment; worse yet, the necessity for new drugs is amplified with rises in drug- resistant microbial infections, such as methicillin-resistant Staphylococcus aureus (MRSA). Historically, remedies and disease treatments have been rooted in the medicinal properties of plants and animals; naturally derived analgesics, like milk of the poppy or willow bark tea, date back thousands of years. With the developments of modern medicine, drug discovery, and natural product researchers found a wealth of potential …

Enhancing Thermal Energy Storage Efficiency Using Optimized Concrete Materials: A Review, Ahmed Mohamed Abbass, Ahmed M. El-Khayatt, Khaled A. Eltawil

Mansoura Engineering Journal

The increasing global energy demand and the environmental impact of fossil fuels necessitate the development of sustainable energy solutions. Solar energy is a promising alternative, but its intermittency and inefficiency limit its widespread adoption. This study explores the role of advanced concrete-based thermal energy storage systems in addressing these challenges. Key aspects examined include packing density optimization, high-temperature performance, and hydrothermal durability of concrete. The research highlights the importance of granulometric optimization, binder selection, and hydration mechanisms in enhancing concrete properties. Additionally, the effects of heat exposure on concrete durability, permeability, and mechanical strength are analyzed, with a focus on …

Optimized Thermal Management Of Cylindrical Lithium-Ion Batteries Using Circular Fins And Forced Air-Cooling, Mohamed M. Donia, Ahmed A. Hegazi, Mohamed A. Aziz, Osama Abdelrehim

Mansoura Engineering Journal

The Battery Thermal Management System (BTMS) is vital for maintaining the optimal performance, safety, and longevity of electric vehicle batteries by keeping their temperature within a desired range. This study proposes an optimized cooling solution for BTMS based on both experimental and numerical investigations. Experimental tests were performed on a single battery cell under discharging rates of 1C, 2C, 3C, and 4C using an electronic load, with thermal performance evaluated under natural convection. Numerical models simulating both forced and natural convection were developed using ANSYS 19.3, and a combined Computational Fluid Dynamics (CFD) and Response Surface Methodology (RSM) approach was …

Verification Of Offline Signature Based On A Hybrid Dense-Attention-Residual-Cnn Structure Optimized By Grey Wolf Algorithm, Zeyad T. Salim, Mahmoud M. Saafan, Eman M. El-Gendy

Mansoura Engineering Journal

Signature verification is a necessary vision task with prevalent use in securing realworld applications. Offline signature is a popular type that needs to efficacious approach to be checked due to the depending on the paper time and the written tool. The progress in intelligent algorithms participates in supporting simple way authentication-based signatures. In this research work, an offline signature verification (OSV) based on an optimized and costumed convolutional neural network(CNN) infrastructure is suggested. The CNN is costumed by integrating residual, dense, and attention mechanisms, then optimized by applying a grey wolf optimization(GWO) algorithm. The system is trained and tested with …

Assessing The Geomechanical Modelling Of Underground Reservoir For Co₂ Storage Trapping Mechanisms, Bonavian Hasiholan, Mohammed Ali Farea, Elhassan Mostafa Abdallah, Sami Abdelrahman M. Yagoub, Yasir Mukhtar

Mathematical Modelling and Numerical Simulation with Applications

Effective carbon dioxide (CO₂) storage is essential for mitigating climate change amid increasing global greenhouse gas emissions. This study investigates the influence of geomechanics on CO₂ storage performance within carbon capture and storage (CCS), focusing on structural, residual, and solubility trapping mechanisms using a fully coupled modeling framework. Two numerical models, with and without geomechanical effects, are developed to evaluate impacts on reservoir behavior, CO₂ migration, and trapping efficiency. Each mechanism is analyzed separately and within an integrated framework to assess their combined contributions. Results indicate that geomechanical coupling increases reservoir pressure, reduces CO₂ flow velocity, enhances migration control, and …

A Coupled Fractional Thermistor System Demonstrating Existence, Uniqueness, And Simulation Results With Two-Point Boundary Conditions, Yahia Awad, Angela Khattar, Hussein Fakih, Sami Hammoud, Karim Amin

Mathematical Modelling and Numerical Simulation with Applications

This paper studies a coupled system of Caputo fractional differential equations of orders $\alpha, \beta\in(1,2]$, subject to two-point boundary conditions. The model incorporates nonlinear nonlocal integral terms that capture the memory-dependent interactions between thermal and electrical dynamics in thermistor materials. We rigorously establish existence via Schaefer’s fixed-point theorem and uniqueness through Banach’s contraction principle in a Banach space of continuous and continuously differentiable functions. Additionally, we analyze Ulam–Hyers stability to quantify solution sensitivity to initial perturbations. A numerical example highlights the effects of fractional orders and nonlocal feedback on system behavior. This work generalizes classical thermistor models and provides a …

E. The Michael Hofmann Seismic Sections - Part B, Michael H. Hofmann

1980 Flathead Lake Seismic Survey

This book contains a set  Images of the full seismic sections that were generated by Michael Hofmann in the early 2000s.  Links to the images follow the narrative by Robert W. Lankston.  This set of images relates to those lines that are not labeled on the track map in Figure 4C of the Kogan (1981) thesis.

Trends In Self-Reported Responses To Nutrition Facts Labels Before And After Nutrition Labeling Policy Implementation: A Comparison Of Adults In The United States And Mexico, Jim Thrasher Ph.D., Ma, Ms, Victor Vilalobos, Dai Fang, Alejandra Jáuregui, Alejandra Contreras-Manzano, Rachel Davis Ph.D., Lana Vanderlee, Christine M. White, Rachel B. Acton, James W. Hardin, Edward A. Frongillo Jr. Ph.D., Simón Barquera, David Hammond

Faculty Publications

Background

Objectives

Methods

Explainable Multi-Modal Deep Learning For Transparent Cancer Diagnosis: Integrating Radiology, Clinical Features, And Decision Visualization, Sital Dash, Laxmi Bewoor, Yashwant Dongre, Amol Bhosle, Kailas Patil, Shrikant Jadhav, Banani Mohapatra, Bhavnish Walia

Faculty Research, Scholarly, and Creative Activity

Introduction: Although artificial intelligence–based cancer diagnostic models have demonstrated strong predictive performance, their lack of transparency and reliance on single-modality data continue to limit clinical trust and adoption. Effectively integrating multi-modal data with interpret-able decision-making remains a key challenge. Methods: We propose an explainable multi-modal deep learning framework that integrates radiological imaging and structured clinical features using attention-based fusion. Image-level explanations are generated using Grad-CAM++, while SHAP is employed to quantify clinical feature contributions, enabling unified and cross-modal aligned interpretation rather than independent uni-modal explanations. The framework was evaluated on publicly available datasets, including CBIS-DDSM mammography, Duke Breast Cancer MRI, …

The Role Of Artificial Intelligence In Macroeconomic Forecasting: A Systematic Literature Review, Thura J. Mohammed, Xinying Chew, Khai Wah Khaw

AUIQ Humanities and Social Sciences

Macroeconomic forecasting remains difficult because aggregate dynamics are nonlinear, regime-dependent, and increasingly informed by high-dimensional, mixed-frequency data, conditions under which traditional econometric models often lose accuracy, especially around turning points. This study systematically reviews how artificial intelligence (AI) is being used to address these challenges and what reliable evidence exists on its forecasting value. Using a PRISMA-aligned protocol, we searched Web of Science, Scopus, and ScienceDirect, identifying 1,627 records; after de-duplication and multi-stage screening, 178 studies were retained for qualitative synthesis. The review develops an evidence-based taxonomy of AI model families in macroeconomic forecasting and synthesizes their motivations, performance patterns, …

Grove Scholars Endowment Honors Development Officer, Bill Dabney

University of Mississippi News

OXFORD, Miss. – University of Mississippi alumni Johnny McRight, of Greenville, and Renvy Pittman, of Los Angeles, have established an endowment to honor an Ole Miss development officer admired for helping launch the Grove Scholars program and many other financial-assistance initiatives to benefit students.

Stress-Induced Bandgap Modulation In Semiconductor Quantum Wells, Saurabh Singh, Fuqian Yang

Chemical and Materials Engineering Faculty Publications

Strained semiconductor quantum wells have been an active area of research for more than three decades. However, a major part of the reported literature has shown a core focus on the theoretical and experimental investigations of their energy band structures under different internal and external perturbations, taking strain parameters as the basis and studying their resulting effects on various optoelectrical properties of the strained quantum wells. However, since stress parameters can be measured more easily and with an enhanced level of accuracy compared to strain parameters, developing a stress-based analytical framework offers distinct advantages. This study focuses on the theoretical …

Advances In Hpv Vaccination In People Living With Hiv: A Review, Megan Mooberry, J Brooks Jackson, Mary B Rysavy

Faculty, Staff and Student Publications

Human papillomavirus (HPV) is the most common sexually transmitted infection worldwide and is a leading cause of cervical, anal, penile, and oropharyngeal cancers. This review summarizes the epidemiology of HPV and the immunogenicity, clinical efficacy, and current HPV vaccination recommendations among people living with HIV (PLWH). PLWH experience a disproportionate burden of HPV-related infection and HPV-related malignancies. Although HPV vaccines have been shown to be highly effective, vaccination coverage among PLWH remains suboptimal, particularly in low- and middle-income countries. Barriers to vaccination include extended dosing schedules, limited awareness of the vaccine, and misinformation. Evidence indicates HPV vaccines are safe and …