Digital Commons Network^™

Uaif‑2.0: Vendor‑Neutral Ai‑To‑Physical‑Safety Contract And Deterministic Enforcement Interface For Cyber‑Physical Systems, Michael Victor Caldwell Mr.

Defensive Publications Series

UAIF‑2.0 defines a vendor‑neutral, machine‑readable safety contract and deterministic enforcement interface connecting AI agent governance systems to independently assured physical‑safety controllers. Existing AI governance layers authorize actions; existing functional‑safety systems enforce physical constraints. No broadly adopted, vendor‑neutral standard currently defines how authorized AI actions should be translated into bounded physical‑domain constraints consumable by a safety‑rated controller.

UAIF‑2.0 introduces a Safety Contract and a Safety Envelope Compiler. The contract binds AI identity, capability, authorization window, physical constraints, safety envelope, provenance, and revocation status into a deterministic, cryptographically verifiable document. The compiler transforms human‑authored safety rules and engineering constraints into a monotonic, …

Decentralized Contextual Personalization Using An On-Device Personal Knowledge Graph, N/A

Defensive Publications Series

Conventional personalization systems that utilize centralized, server-side user data collection may present privacy challenges and can result in profile contamination from transient user intents. A decentralized, client-side framework can shift data storage and processing to a user's local computing device (e.g., a smartphone, smart watch, wearable device, etc.). This framework can utilize a private, on-device knowledge graph to manage user context. For a given user action, a client-side process can extract a relevant sub-graph of contextual data, convert it into a transient, privacy-enhanced vector, and transmit it to a remote service. The service may return a generalized set of results …

Gc-Ms Profiling And Antibacterial Activity Of Cold-Macerated Garlic Extracts Against Multidrug-Resistant Uropathogens, Fatima A. Khalaf, Saeed A. Fayadh

Karbala International Journal of Modern Science

The growing number of cases of multidrug-resistant (MDR) urinary tract infections has made the clinical management of urinary tract diseases a significant challenge; therefore, the need for effective adjunctive therapies cannot be overemphasized. This study evaluated the bioactive components and antibacterial efficacy of cold-macerated garlic extracts obtained using distilled water, 70% ethanol and hexane solvents against antimicrobial-resistant urinary isolates. Out of 250 urine samples that were analyzed, 124 (49.6%) showed significant microbial growth, with Escherichia coli being the most frequently isolated organism. The results of the phytochemical screening and Gas Chromatography-Mass Spectrometry (GC-MS) analysis showed that the ethanolic extract had …

A Guided Size Exclusion Chromatography Demonstration For Teaching Polymer Separation And Characterization, Daniel Rivero, Nicole Paccha, Amrita Sarkar

Department of Chemistry and Biochemistry Faculty Scholarship and Creative Works

Practical experience with modern analytical instruments is an essential component of undergraduate chemistry education, yet access to advanced instruments varies widely among institutions because of differences in available resources. Although size exclusion chromatography (SEC) is extensively used in polymer characterization in both academia and industry, undergraduate students at Montclair State University previously had limited opportunities to gain hands-on experience to this technique. To address this need, a demonstration using a multidetector-equipped Malvern Panalytical OMNISEC system was developed and incorporated into a second-year organic chemistry laboratory course during the 2025–2026 academic year. This activity engaged more than 300 undergraduate students representing …

Magnetohydrodynamic Flow Under Compression And Coupled Heat And Mass Transfer In A Non-Newtonian Nanofluid, El Harfouf Amine

Babylonian Journal of Mechanical Engineering

This study focuses on the analysis of the magnetohydrodynamic flow of a Maxwell viscoelastic fluid subjected to compression between two parallel plates in the presence of an external magnetic field. Maxwell fluids, belonging to the category of non-Newtonian fluids, are used in numerous applications, including polymer processing, biomedical systems, and industrial fluid transport devices. The main objective is to evaluate the combined influence of the magnetic field and the plate convergence on the flow dynamics, heat transfer mechanisms, and transport characteristics. The mathematical modeling is based on the Navier-Stokes equations coupled with the constitutive relations describing the rheological behavior of …

20 Years Of Neutrosophic Statistics: A Bibliometric Analysis, Hammad Khalid, Arshad Hameed

Neutrosophic Systems with Applications

Florentin Smarandache introduced neutrosophic statistics (NS), a formalism for representing uncertainty and indeterminacy in observations, parameters and statistics in an extension to classical and interval statistics. Although widespread in various contexts, such as statistical quality control, hypothesis testing, medical diagnosis, and decision science, and increasingly used and developed, the scientific evolution and conceptual framework of the science of decision making remain largely unexamined. To fill this gap, the present study has been conducted with a comprehensive bibliometric analysis of NS research articles published between 2003 to 2025 from Scopus which has been conducted following the SPAR-4-SLR protocol. In all, 501 …

Stochastic Invasion Thresholds For Transmission-Blocking Symbionts And Malaria Control Under Environmental Noise, Steeven Belvinos Affognon, Philip Ngare, Henri E.Z. Tonnang, Benard Kipchumba Kiplangat, Shirley Abelman, Jeremy K. Herren

All Peer-Reviewed Publications

Introduction – Transmission-blocking symbionts may complement existing malaria vector-control tools, but their public-health value depends on two linked conditions: ecological establishment in mosquito populations and long-run prevalence high enough to suppress malaria transmission. Methods – Motivated by Microsporidia MB in Anopheles mosquitoes, we developed a scale-free stochastic differential-equation model for uninfected and symbiont-infected adult female mosquitoes with density-dependent recruitment, vertical transmission, mating-mediated horizontal conversion, and multiplicative environmental noise. We derived a rare-symbiont stochastic invasion index, analyzed extinction and invasion thresholds, used Malliavin-Hörmander analysis to characterize inter-class noise transfer, and linked stationary symbiont prevalence to an effective Ross-Macdonald malaria reproduction number. …

Hyperlattice-Valued And Superhyperlattice-Valued Uncertain Sets With Decision Applications, Takaaki Fujita, Ajoy Kanti Das, Sankar Prasad Mondal, Arif Mehmood, Arkan Ghaib

Neutrosophic Systems with Applications

Fuzzy set theory enriches classical sets by assigning to each element a graded membership in [0,1], thereby capturing partial inclusion and uncertainty. The notion of an Uncertain Set further abstracts this idea by allowing membership to take values in a general degree-domain, providing a unified language that subsumes fuzzy, intuitionistic fuzzy, neutrosophic, plithogenic, and related models. On the algebraic side, a hyperlattice replaces one lattice operation by a multivalued hyperoperation, enabling the representation of ambiguous or non-deterministic combinations, while a superhyperlattice iterates this structure through powerset lifting to obtain higher-order layers of interaction. Motivated by these developments, we introduce HyperLattice-valued …

A Unified Framework For Neutrosophic Estimation Using Fractional Power, Exponential, And Logarithmic Functions With Bivariate Auxiliary Information, Anchal Yadav, Anuj Yadav

Neutrosophic Systems with Applications

This study develops a generalized neutrosophic ratio-type estimator for estimating the population mean by incorporating information from two auxiliary variables under Simple Random Sampling Without Replacement (SRSWOR). The proposed methodology extends the conventional single-auxiliary-variable approach by jointly incorporating bivariate auxiliary information within the neutrosophic framework, thereby accounting for uncertainty, indeterminacy, and inconsistency in the available information. The bias and mean squared error of the proposed estimator are derived using first-order approximations, and the corresponding efficiency conditions are established through theoretical comparisons with existing neutrosophic estimators. The performance of the proposed estimator is further examined using a real medical dataset represented …

A Neutrosophic Event-Graph Legal Ai System For Detecting Contradictions In Witness Testimonies Under Egyptian Law, Shimaa Abdelghany Attalla, Alaa Elmor, Nada Hesham, Abduallah Gamal

Neutrosophic Systems with Applications

Witness testimony is an important source of evidence in criminal proceedings, but it may contain contradictions, incomplete details, or conflicts with other case-file materials. This paper proposes a neutrosophic event-graph legal AI framework for detecting materially contested claims in witness testimonies under the Egyptian criminal-procedure context. The framework converts testimony and related records into structured claims containing actor, action, object, time, location, source, and modality. These claims are then connected through an event graph and evaluated using neutrosophic components of support, indeterminacy, and opposition. The system produces source-grounded legal-review alerts when a claim has sufficient opposition from other claims or …

An Interval-Valued Spherical Fuzzy Critic–Waspas Framework For Prioritizing Healthcare Delivery Models To Enhance Patient Satisfaction Under Uncertainty, Mariam Hamada, Ahmed Samy, Mohamed M. Abdelhafeez, Shrouk El-Amir

Neutrosophic Systems with Applications

Selecting an appropriate healthcare delivery model is important for improving the quality of healthcare services and enhancing patient satisfaction. However, this decision is complex because it involves several criteria, uncertainty, and different expert opinions. To handle this uncertainty, this paper uses Interval-Valued Spherical Fuzzy Sets (IVSFSs), which allow experts to express their evaluations more flexibly. This paper proposes an integrated interval-valued spherical fuzzy CRITIC-WASPAS approach to prioritize healthcare delivery models. The CRITIC method is used to determine the objective weights of the evaluation criteria, while the WASPAS method is used to rank the healthcare delivery models. Expert evaluations are expressed …

The Evolution Of Reliability Methods For Nondestructive Evaluation (Nde): From Probability Of Detection (Pod) Conception To Contemporary Practices, Christine E. Knott, Jennifer Brown, John Aldrin, Christine M. Schubert Kabban

Faculty Publications

Nondestructive evaluation (NDE) methods are powerful tools for detecting and characterizing flaws in structural components, but their reliability must be evaluated before they can be used in critical applications. For more than 50 years, probabilistic and statistical methods have been used effectively to estimate reliability by describing an NDE system’s Probability of Detection (POD) for flaws of realistic sizes. The POD methods used by the USAF and NASA, like Hit/Miss, Signal-Response (â vs. a), and Point Estimate method (PEM, a.k.a. 29/29) have evolved, alongside newer approaches like Limited Sample POD (LS-POD) method, and Model Assisted Probability of Detection …

Breaking The Silence - Moving Beyond Lecture Hall Echo Chambers In Nursing Education, Joshua Michael Kies, Elizabeth Faye Snyder, Cyndi Faudree

International Nursing Research Congress (INRC)

Nursing student silence in higher education undermines active learning and critical thinking development. This literature review examines participation barriers, engagement strategies, and approaches to fostering inclusive discussion environments. Research identifies multiple contributing factors: fear of negative evaluation, cultural differences in communication styles, insufficient content knowledge, and technological challenges in virtual settings. The Student Engagement in Digital Learning Framework reveals four key dimensions—emotional, behavioral, cognitive, and social—that interact to create barriers or facilitators to student voice. Evidence-based solutions include extending wait times to 10-15 seconds for cognitive processing, implementing culturally responsive pedagogies, providing multimodal participation formats, and scaffolding discussions to build …

Approval Letter For The Butte Priority Soils Operable Unit (Bpsou) 2025 Butte Reclamation Evaluation System (Bres) Site Specific Corrective Action Plans For Quadrant 2 (Dated July 22, 2026), Molly Roby

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Approval Letter For The Draft Final Butte Priority Soils Operable Unit Unreclaimed Sites Field Sampling And Investigation Plan: Ur-53 – South Of Surprise Dump, Molly Roby

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Re: Approval Letter For The Draft Final Butte Priority Soils Operable Unit Unreclaimed Sites Field Sampling And Investigation Plan: Ur 51 – Area Near Bres No.50 –Zelia And Mountain Con Mine, Molly Roby

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Approval Letter For The Draft Final Butte Priority Soils Operable Unit (Bpsou) Unreclaimed Sites Field Sampling And Investigation Plan – Ur-52 Area West Of Bres No. 133 – Dexter Mill, Molly Roby

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Monitoring System In The Georeactor Area During The Underground Coal Gasification Process, Aleksandra Tokarz, Jacek Grabowski, Krzysztof Korczak

Journal of Sustainable Mining

Safety control of the underground coal gasification (UCG) process involves ensuring that the process runs smoothly, monitoring changes occurring on the surface and in the rock mass, and counteracting the negative environmental impact of the process. The article presents the application of a monitoring system implemented in Poland, both in pilot tests conducted in shallow coal seams at the Barbara Experimental Mine and in deep coal seams at the Wieczorek mine, where a full-scale gasification process was tested. The analysis of the monitoring results carried out during the gasification experiment in an operating mine allowed for the identification of key …

Fast Computation And Model Order Reduction Of The Friction Stir Welding Process With Pod-Deim, Joshua Kay, Zilong Song

Mathematics and Statistics Student Research and Class Projects

Friction stir welding (FSW) is a solid-state manufacturing process widely used in joining aluminum and other metal workpieces. The FSW process can be modeled by a coupled system of non-Newtonian Navier–Stokes and heat-transfer equations. However, solving this non-linear system with high accuracy requires significant computational power. This work refines the system by introducing corrected coefficients and new treatments for boundary conditions near the tool. Then, model order reduction, including the Proper Orthogonal Decomposition (POD) and Discrete Empirical Interpolation Method (DEIM), is applied to efficiently solve the FSW system in a low-dimensional space. To enhance accuracy and effectiveness, two novel treatments …

System And Method For Knowledge Reuse From Infrastructure Interaction Exhaust And Cross-Agent Behavioral Metadata Inference, Eric Zavesky

Defensive Publications Series

A system and method for cross-agent behavioral pattern learning and knowledge reuse from infrastructure interaction exhaust. The system passively captures interaction traces from multiple actors - including autonomous agents, semi-automated processes, and human users - as they interact with databases, APIs, and infrastructure endpoints through heterogeneous surfaces. A semantic inference layer analyzes captured traces to infer properties beyond raw telemetry, including organic field discovery, relevance weighting, prompt-level field alias mining, role frequency and sensitivity determination, and retry-aware intent detection. A pattern sanitization module strips individual actor identity and raw data values while preserving role-scoped organizational tokens, producing parameterized patterns with …

Context-Aware Semantic Method And System For Network-Connected Camera Notification Filtering, Josh Och, Andrew Axley

Defensive Publications Series

A system and method are provided for enhancing the operational intelligence of network-connected cameras through the establishment of camera-specific semantic context. A digital repository is associated with an individual monitoring device to store context metadata representing physical and logical relationships in the device's field of view. The context metadata can be defined via user input or automatically inferred using analytical models that identify historical activity patterns or process environmental feedback. When a monitoring event occurs, the associated context metadata is retrieved and integrated into an evaluation framework, such as an augmented prompt for a generative artificial intelligence model, to analyze …

Development Of A Chip-Scale Optical Gyroscope With Weak Measurement Amplification Readout, Kagan Yanik, Meiting Song, Yuhan Mei, Jaime Cardenas, Andrew N. Jordan

Mathematics, Physics, and Computer Science Faculty Articles and Research

We establish the theoretical framework and investigate the fundamental limits for an integrated optical chip design containing a rotation sensing ring resonator coupled to an inverse weak value amplified Sagnac interferometer that amplifies the signal with phase information. We achieve, for conservative parameter choices, a minimum detectable angular rotation rate of ∼0.1 °/hr and an Allan deviation of∼0.08 °/hr assuming shot noise limited performance. For matched detected optical power, our design can improve the signal-to-noise ratio, reduce the minimum detectable angular rotation rate, and Allan deviation by more than ten times compared to an ideal standard Sagnac interferometer with balanced …

Using Graphic Novels In The Teaching And Learning Of Mathematics And Physics, Jason Ho, David Klanderman, Sarah Klanderman, James Turner

University Faculty Publications and Creative Works

Are you looking for innovative teaching strategies for geometry or other mathematics and physics courses? In this article, we o!er a discussion of several graphic novels and their potential for successful teaching and learning at the high school and university levels. We describe how engaging stories, combined with mathematical and scientific meaning found in both text and image, can help to excite students, enrich learning, and explain mathematical concepts. We report on recent data collected from multiple mathematics and physics classes that extend prior research on the use of graphic novels to teach English Language Arts (Boerman-Cornell and Kim, 2020) …

Leading From The Precipice: How Academic Deans Are Navigating Artificial Intelligence In Higher Education, V. Dozier, Sarina Chugani Molina

Copley Library: Faculty Scholarship

This qualitative case study examines how associate deans at a medium-sized Catholic university respond to the rapid integration of generative artificial intelligence (AI). Guided by decolonial and feminist frameworks, the study analyzes survey data from seven academic leaders to understand their concerns, decision-making processes, and emerging practices. Our findings reveal uneven adoption, limited institutional guidance, and ongoing concerns about academic integrity, equity, and bias. The study also highlights the often-unseen relational and emotional labor involved in supporting faculty and students. We conclude by recommending flexible, collaborative approaches to AI governance that attend to context, care, and diverse ways of knowing.

Fastest-Warming States And Cities In The Mountain West, 2025, Maisoon Faris, Kahlen Coss, Kevin Yang, Caitlin J. Saladino, William E. Brown Jr.

Environment

This fact sheet presents data published by Climate Central on the change in average annual temperatures for the five Mountain West states of Arizona, Colorado, Nevada, New Mexico, and Utah and 15 Mountain West cities from 1970 to 2025. City-level data are derived from Applied Climate Information System (ACIS) operated by National Oceanic and Atmospheric Administration (NOAA), state-level data are derived from NOAA’s National Centers for Environmental Information (NCEI).

Infographic: Teacher Pedagogical Knowledge, Dominique Russell

Teacher infographics

Part of the OECD’s Teaching and Learning International Survey (TALIS) 2024, the Teacher Knowledge Survey is the first large-scale study providing internationally comparable measures of general pedagogical knowledge (GPK). Findings suggest it may contribute to improving students’ and teachers’ outcomes.

"Robert Pain And The Legacy Of Leadership", William Lindsey Mcdonald

Research Articles

Robert Paine was the first president of LaGrange College, the earliest predecessor of the University of North Alabama. The article gives a brief overview of Paine's leadership.

Toward Reliable Compressive Strength Prediction Of Marble Powder-Blended Concrete: Comparative Machine Learning And Shap-Based Interpretability, Shamal Abdullah Mohammed, Aryan Far H. Sherwani, Nzar Shakr Piro

Polytechnic Journal

The production of conventional concrete has a significant impact on the environment, primarily due to the cement (C) component. To mitigate this impact, binders with reduced environmental footprints were used in concrete mixtures as a partial replacement for C, including powders of industrial byproducts. Waste marble powder (WMP) is one such alternative; however, its incorporation causes complicated interactions with cementitious materials, making the compressive strength (CS) prediction difficult. This study developed and evaluated four predictive models (multilinear regression (MLR), full quadratic regression (FQ), M5P tree, and artificial neural network (ANN)) using a dataset of 306 WMP-blended concrete mixes from 16 …

Approval Letter For The Butte Priority Soils Operable Unit Field Sampling Plan And Investigation Plan: Ur-41 - Montana Street And Interstate-90, Molly Roby

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Ai-Supported Analysis Of Jury Deliberation Impact Factors, Jennifer Siciliani Phd

Generative AI Teaching Activities

Students conduct a controlled, two-run generative AI jury simulation to examine how a single socio-legal variable affects simulated jury deliberation. They compare and manually code the AI-generated outcomes against peer-reviewed human jury research to evaluate the model’s accuracy, limitations, and potential biases.