Digital Commons Network^™

Histopathological And Immunological Effects Of Tamanu Oil Nanoemulsion On Imiquimod Induced Psoriasis In Albino Rat Skin, Israa Mahmood Mohammed, Treefa Farouq Ismail

Baghdad Science Journal

Psoriasis is an autoimmune disease caused by T-cell activation. This condition is characterized by skin proliferation and inflammation. This study aimed to enhance tamanu oil bioavailability by green synthesis method, in order to evaluate the potential anti-psoriatic benefits of tamanu oil nanoemulsion in rat skin, based on observational, histopathological, and immunological outcomes. The formulation was prepared by phase inversion temperature technique. The physical and chemical characteristics include: droplet morphology, size, zeta potential, pH, and stability. The formulation exhibited a spherical and small globule size of less than 100 nm, good zeta potential (–23.9 mV), suitable pH (5.3) and physically stable. …

Advancing Data-Driven Health Research From The All Of Us Data Training And Engagement Program, Kristi Sadowski, Debran Tarver, Jennifer Burnette, Allissa Dillman, Regina Renfro, Lafrancis Gibson, Kelli Bursey, Laura Bartlett, Nadine Bonds-Bishop, Lisa Connor, Efraín Flores-Rivera, Sarah Joseph, Yuqi He, Margaret Henderson, Savannah L. Kelley, Maletta Payne, Brett Porter, Kimberly Prosper, Melissa Rethlefsen, For Full Author List, See Comments Below

Faculty Research, Scholarly, and Creative Activity

Background: Fulfilling a recognized need in data skills training for academic librarians, the National Library of Medicine and the National Institutes of Health All of Us Research Program collaborated to enhance academic library workers’ skills in biomedical and public health data, as well as their library's research capacity, through the awareness and use of the All of Us Researcher Workbench. Case Presentation: The All of Us Data Training and Engagement Program for Academic Libraries (ALP) blended professional development training, hands-on learning, and peer-to-peer networking that focused on increasing knowledge of the All of Us Researcher Workbench. Activities were designed to …

Fostering Collaboration Through Learning Communities: A Case Report On Engaging With All Of Us Data Among Library Professionals, Faculty, And Students, Zachary Mcniece, Dawn Hackman, Nick Szydlowski, Yuqi He

Faculty Research, Scholarly, and Creative Activity

Background: Research data services (RDS) have expanded in academic libraries but can be challenging to develop, particularly in teaching-intensive and less-resourced institutions. Learning communities offer a promising model for building skills, fostering collaboration, and aligning services with local needs. Case Presentation: This case report describes the development and implementation of three learning communities—a library group, a faculty group, and a student group—at a teaching-focused institution. These communities brought together library professionals, faculty, and students from diverse disciplines—including health sciences, education, data science, and engineering—to collaboratively explore the All of Us dataset. By working with the same dataset, participants were able …

Llm-As-A-Judge For Infection Prevention And Control And Antimicrobial Resistance Impact: Comparing Three Main Llms Vs. Human Experts' Assessment, Marcello Di Pumpo, Leonardo Villani, Maria Rosaria Gualano, Danilo Buonsenso, Francesca Raffaelli, Daniele Donà, Patrizia Laurenti, Vittorio Maio, Stefania Boccia, Walter Ricciardi

College of Population Health Faculty Papers

BACKGROUND: Large language models (LLMs) are increasingly used to generate health information, yet their reliability as evaluators remains unclear. This study investigated the feasibility of an LLM-as-a-judge methodology in the context of infection prevention and antimicrobial resistance (AMR), comparing automated ratings with human expert benchmarks.

METHODS: We performed a secondary analysis of an expert-annotated dataset of health messages. Three leading LLMs (ChatGPT, Claude, Gemini) independently evaluated the same messages using an adapted DISCERN tool across five domains: information reliability, quality, AMR impact, persuasiveness, and overall score. We utilized descriptive statistics, intra-rater reliability tests, and mixed-effects ordinal regression to analyze divergence …

A Global Imprint Of Gadolinium-Based Contrast Agents Used In Magnetic Resonance Imaging In Drinking Water, Vanessa Hatje, Franciele Castro Novais, Anna Maria Orani, Maria Elisabete Machado, Pere Masque, Marc Metian

Research outputs 2022 to 2026

Since the 1980s, rare earth elements (REE), particularly gadolinium (Gd) used in gadolinium-based contrast agents (GdCA), have revolutionized Magnetic Resonance Imaging (MRI) diagnostics. However, the near-complete persistence of these compounds through wastewater treatment processes has led to widespread global environmental contamination. Here, we present a global assessment of REE concentrations and GdCA signatures in tap water from 148 cities across 89 countries and Antarctica, where anthropogenic Gd ranges from 0.1 to 61.2 ng L–1 and accounts for up to 99% of total dissolved Gd. Contamination hotspots are concentrated in Europe and North America. While Gd levels scale with MRI usage …

Mxene-Based Optical Fiber Sensors For Chemical And Biosensing: Review And Perspectives, Chen Zhu, Huaijun Guan, Chenxi Huang, Rex E. Gerald, Jie Huang

Electrical and Computer Engineering Faculty Research & Creative Works

No abstract provided.

Advancing Data-Driven Health Research From The All Of Us Data Training And Engagement Program, Maletta Payne, Kristi Sadowski, Debran Tarver, Jennifer Burnette, Allissa Dillman, Regina Renfro, Lafrancis Gibson, Kelli Bursey, Laura Bartlett, Nadine Bonds-Bishop, Lisa Connor, Efrain Flores-Rivera, Sarah Joseph, Yugi He, Margaret Henderson, Savannah Kelley, Brett Porter, Kimberly Prosper, Melissa Rethlefsen, Deborah Rhue, Dede Rios, Anna Simonson, Jocelyn Swick-Jemison, Linda Todd, Shelby Watson, Semhar Yohannes

Southern University and A&M College: John B. Cade Library Publications

Fulfilling a recognized need in data skills training for academic librarians, the National Library of Medicine and the National Institutes of Health All of Us Research Program collaborated to enhance academic library workers& skills in biomedical and public health data, as well as their library's research capacity, through the awareness and use of the All of Us Researcher Workbench.

Longitudinal Patterns In Stygobiont Distribution In The Hyporheic Zone Of The Karst Spring-Fed San Marcos River, Texas, Usa, Kenneth Sparks, Benjamin F. Schwartz, Safra Altman, Kathryn E. Perez, Zoey B. Chanin, Caroline Mierzejewski, Benjamin T. Hutchins

School of Integrative Biological & Chemical Sciences Faculty Publications

Groundwater-obligate taxa (stygobionts) exhibit variable degrees of habitat specialization, ranging from those restricted to single micro-habitats to generalists occurring in a broad range of habitat types. The karstic Edwards Aquifer is the most biodiverse and well-studied groundwater habitat in the continental United States, but some Edwards Aquifer-associated species also occupy the hyporheic zone of rivers downstream from karst. The goals of this research were to 1) assess the potential of the off-karst hyporheic zone as habitat for ‘karst’ species and 2) to determine how stygobiont richness, diversity, and abundance related to distance from karst in the hyporheic zone of a …

Enhancing Resonance Wave–Matter Interaction In Finite-Size Dielectric Metasurfaces, Varsha Vijay Kumar, Elena Semouchkina

Michigan Tech Publications

We investigate the dramatic effects produced by the presence of physical boundaries of finite-size metasurfaces (MSs), composed of identical cylindrical dielectric resonators without broken symmetry, on the complexity of their responses, observed at normal plane wave incidence, when constituent particles can support only dipolar Mie resonances. We demonstrate the possibility to excite extra high-quality resonance modes in these finite structures, which are quite distinct from the modes in infinite structures. We explore the formation of different types of high-quality modes in MS fragments of different configurations and sizes, which makes it possible to provide guidance for configuring their optimal designs. …

Rural Women Rising To Leadership Positions: The Influence Of Their Christian Faith And Shepherding Style, Jose Carbajal, Bonita Sharma, Cherhonda Brown, Teresa Tarver, Emily Powell

The Journal of Faith, Education, and Community

Purpose. Men maintain the ability to exercise authority and gain a competitive edge in leadership positions, while women persistently endure adversity within the patriarchal system, deeply rooted in their religious beliefs and path of faith. This study explores how women’s faith influences their pursuit of leadership positions and whether their upbringing, especially from a patriarchal perspective, deters them from having leadership aspirations. Methods. We used a qualitative method to understand the lived experiences of women in leadership positions and how faith influenced their leadership ascension. We conducted semi-structured interviews with thirty-four (N = 34) female leaders in top …

Beyond Preparation: Spiritual And Communal Formation For Urban Catholic School Teachers, Audrey A. Friedman, Myra Rosen-Reynoso, Charles T. Cownie Iii, Maria A. Moreno Vera, Cristina J. Hunter Phd

The Journal of Faith, Education, and Community

Urban Catholic schools face persistent challenges in teacher recruitment and retention, intensified by limited resources, demanding workloads, and structural inequities. Yet, many educators remain committed, sustained by spiritual identity, communal belonging, and mission‑driven work. This qualitative study examines how urban Catholic school teachers understand formation—intellectually, emotionally, socially, and spiritually—and the formative practices that support them. Drawing on interviews with sixteen urban Catholic school teachers, this study uses Palmer’s framework of holistic formation to analyze how faith-based practices, workplace spirituality, community, and solidarity shape teachers’ professional identities and well‑being. Findings reveal that teachers view formation as both professional preparation and …

Reintegrating Wisdom: A Cultural-Sciences Framework For Linking Music, Faith, And Stem Education, Yoonil Auh, Minjeong Cho, Sang-Eun Hwang

The Journal of Faith, Education, and Community

This article proposes a theoretical model for integrating music and religious education into STEM by reframing them as cultural sciences, disciplines that generate symbolic, ethical, relational, and meaning-making forms of knowledge essential for 21st-century learning. While technocratic models of STEM emphasize quantification, efficiency, and innovation, they often marginalize the humanistic and spiritual dimensions of education that support ethical discernment, cultural literacy, and communal responsibility. Drawing on epistemic pluralism, transdisciplinary studies, educational philosophy, theology, and music pedagogy, this study outlines a four-dimensional framework, epistemic integration, transdisciplinary learning, ethical praxis, and spiritual-communal ways of knowing, that positions music and religious education not …

Completeness-Flagged Directory Reconciliation With Adds-Only Degradation And Dual Revoke Rails, Gustavo Matthew Assuncao

Defensive Publications Series

This document discloses, in enabling detail, a computer-implemented method and system for reconciling an external identity-directory group (for example an Entra/Azure AD or LDAP security group) into a local authorization store while remaining fail-closed under partial data. The central mechanism derives a single boolean completeness verdict from the paging protocol itself — the act of following continuation tokens to exhaustion — rather than from the magnitude of the change the reconcile would produce. Any page fault, timeout, malformed page, or continuation overrun poisons the verdict to incomplete. The reconciler then degrades asymmetrically: additive membership grants are always applied, but every …

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Declarative Scope Contracts: Multiplexing One Agent Runtime Across Trust Tiers, Provider Wire-Shapes, And A Registry-Fail-Closed Tool Surface With Synthetic Browser-Uuid Identity, Gustavo Matthew Assuncao

Defensive Publications Series

A production AI agent runtime routinely serves several audiences at once: authenticated engineers with broad tool access, authenticated business users with narrower app-action tools, and — increasingly — completely anonymous website visitors. Building a separate runtime per audience duplicates safety-critical code and invites drift; building one runtime with audience checks scattered through the request path produces a surface no reviewer can bound. This publication discloses a third design: a single runtime whose every security-relevant decision is derived from one declarative scope contract object. The contract binds authentication mode, identity source, tool-resolution policy, model set, system-prompt source, per-tier budgets (rate, iteration …

Hold-Then-Release Safety-Gated Streaming With Dual-Lane Classification And Abuse-Sample Harvesting For Anonymous Public Llm Surfaces, Gustavo Matthew Assuncao

Defensive Publications Series

This defensive publication discloses a runtime architecture for anonymous, unauthenticated public large-language-model (LLM) surfaces — the "ask a question" box on a marketing website, a public demo endpoint, an embedded help widget — that simultaneously preserves token-by-token streaming user experience and enforces an absolute zero-leak output-safety guarantee. The core mechanism is hold-then-release: the final model answer is streamed from the inference backend into an in-process delta buffer and is never forwarded to the client during generation; output safety executes against the fully assembled answer text; only a clean (or explicitly flagged-but-tolerated) verdict causes the buffered deltas to be replayed to …

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Parallel Multi-Persona Deliberation With A Measured-Token Circuit Breaker And Degrade-To-Best-Single, Gustavo Matthew Assuncao

Defensive Publications Series

This document discloses, as public prior art, an orchestration mechanism that consults the top-N ranked personas (or agents) of a multi-agent AI system concurrently, and then decides whether to execute a costly downstream synthesis stage on the basis of the actual number of prompt and completion tokens the parallel round has already consumed — a quantity measured after the calls return, not estimated before they are issued. Each per-persona consultation runs under an independent Promise.race deadline; a failed or timed-out consultation resolves to a structured, zero-token record rather than throwing, so the orchestrator can always compute a complete per-persona ledger. …

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Taint-Triggered Turn-Scoped Tool Downgrade With Attachment-To-Execution Provenance Audit, Gustavo Matthew Assuncao

Defensive Publications Series

This document discloses, and thereby places into the public domain as enabling prior art, a mechanism that contains prompt-injection-to-remote-code-execution in tool-using AI agents that accept untrusted document and image attachments. The core control is turn-granular: any conversational turn that introduces a new untrusted attachment is automatically downgraded to read/vision-only for that turn alone — the mutating tools (writefile, editfile, generatefile, runcommand) are hard-denied regardless of the caller's role, and re-enabled automatically on the next attachment-free turn. Three further specifics harden the loop: (1) the untrusted-content taint envelope is re-applied on every history re-hydration, so a poisoned block can never shed …

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Two-Clock Fail-Closed Entitlement Engine, Gustavo Matthew Assuncao

Defensive Publications Series

Software licensing systems that support offline operation face a structural tension: the same cached credential that lets a product keep running during a licensor-side outage also lets a revoked customer keep running. Conventional stacks resolve this by coupling the cached-token lifetime to the grace window, producing a fail-open tail as long as the grace period — often days. This disclosure describes a two-clock, fail-closed entitlement engine that decouples the two concerns. An availability grace clock lives server-side on the activation row and is refreshed per heartbeat; a separate revocation clock is a signer-enforced offline-token TTL (≤24 hours) whose ceiling the …

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Atomic Crypto-Shred With Trigger-Immutable Audit-Ledger Preservation And Machine-Verifiable Zero-Orphan-Pii Proof, Gustavo Matthew Assuncao

Defensive Publications Series

This document discloses, enablingly and with dated priority, a database-layer mechanism that reconciles two requirements normally in direct tension: the data subject's right to erasure (GDPR Article 17; the COPPA parental deletion right for children's data) and the integrity of a trigger-enforced append-only audit ledger whose rows must never be updated or deleted. The mechanism performs, in one database transaction for one subject: (1) a crypto-shred of a per-subject key row — the key material is set to NULL while a keyref tombstone survives; (2) a manifest-driven purge of every plaintext PII surface, capturing each surface's row count before the …

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Shadow-First Anomaly Ladder With Fail-Low Signals, Inversion-Proof Thresholds, And Would-Block Dual Recording, Gustavo Matthew Assuncao

Defensive Publications Series

This publication discloses, enables, and dates a mechanism for behavioral anomaly gating of autonomous software agents. The distinguishing subject is not the human user but the agent-channel capability exercise: an event in which a principal (a human or a non-human agent) invokes a named capability through a specific channel (an interactive UI, an email-driven command, a messaging bridge, a scheduled job). Six read-only behavioral signals are computed for each such event, each under a fail-LOW contract whereby any datastore error or absent history yields a zero sub-score, so a monitoring blind spot can never fabricate an anomaly. A pure, side-effect-free …

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License-Anchored Llm Capability Governor With Ordinal Down-Only Route Clamp And Tri-Plane Enforcement, Gustavo Matthew Assuncao

Defensive Publications Series

This publication discloses, in enabling detail, a License-Anchored LLM Capability Governor: a system that governs which large-language-model any principal (a human user or an autonomous persona/agent) may cause to run, by resolving exactly one entitlement lever — a license tier — into a concrete model, and then enforcing that resolution wherever a model can be selected. Resolution walks a fixed precedence (per-principal override → role-exception regex → license-to-tier map → legacy role map → global default) and passes through an ordinal capability ladder so that models become comparable, not merely listed. The resolved model is then clamped to the physical …

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Capability-Gate-First Cost-Optimal Llm Task Router With Monotone Hard-Capability Taint, Dif-Fairness-Governed Escalation, And Cheapest-Allowed Self-Clamp, Gustavo Matthew Assuncao

Defensive Publications Series

This document discloses, in enabling detail, a method and system for selecting, on a per-turn basis, which large language model (LLM) answers a given request in a multi-model deployment. The distinguishing property is that capability feasibility is a hard gate evaluated strictly before any cost or difficulty optimization, and a budget is structurally unable to override a capability-forced selection. A four-stage task assessor emits a set of required capability primitives (tooluse, vision, longcontext) under a monotone taint invariant: each later stage may raise, but never lower, a hard requirement detected by an earlier stage, while websearch is deliberately kept soft …

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Fail-Closed, Persona-Scoped Dlp Egress Policy Engine With Classification-Conditional Provider Steering, Gustavo Matthew Assuncao

Defensive Publications Series

This document discloses, with sufficient detail to enable a person of ordinary skill in the art to build it, an egress data-loss-prevention (DLP) policy engine that decides what outbound text an autonomous AI system is permitted to transmit to third-party language-model providers. The engine's distinguishing characteristic is that each policy is scoped jointly by three orthogonal dimensions — the internal pipeline route, the identity of the originating AI persona, and the human user role — and that a single first-match decision returns both a content action (allow, redact, block) and the provider that may receive the resulting text. Policies are …

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Fail-Closed Email-As-Agent-Command Channel, Gustavo Matthew Assuncao

Defensive Publications Series

This publication discloses, in enabling detail, a fail-closed protocol that turns inbound email into an authenticated command channel into a tool-using LLM agent. An email carries no HTTP request, so the ordinary web pattern of authenticate-middleware-then-authorize-middleware cannot run; the disclosed protocol reconstructs an equivalent — and in several respects stronger — chain of interlocks as a thirteen-step pipeline where every step fails closed. The three load-bearing novelties are: (1) a DMARC verdict is trusted only when it is stamped by a named trusted relay's authserv-id, reports pass, and is domain-aligned to the parsed sender; (2) execution is gated behind a …

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Ivr-To-Realtime Anti-Language-Drift Session-Instruction Injection, Gustavo Matthew Assuncao

Defensive Publications Series

A realtime conversational voice LLM tends to mirror the language of its conversation history and of the caller's most recent utterance. When such an agent is reached through a preceding DTMF interactive-voice-response (IVR) menu in which the caller has explicitly selected a language ("press 2 for French"), two structural facts conspire to lose that selection: the IVR subsystem and the realtime-voice subsystem are two disjoint processes joined only by a stateless HTTP redirect, and the realtime model's mirroring tendency silently overrides a one-time greeting in the chosen language. This publication discloses a mechanism with two cooperating parts. First, a language …

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Heuristic Capability-To-Rbac Translator With Dual-Read Shadow Evaluation, Gustavo Matthew Assuncao

Defensive Publications Series

A platform that began with a flat set of boolean capabilities (CANUSELLM, CANMANAGEUSERS, …) and a few flat roles must eventually migrate to fine-grained, scoped RBAC where permissions are domain:resource:action tuples and roles are wildcard-composable pattern sets. The conventional path is a hand-maintained translation table plus a flag-day cutover, both of which are labor-intensive and risky: a single mis-mapping is a production outage or a silent privilege escalation. This publication discloses a mechanism that (1) heuristically translates each legacy capability into a fine-grained permission — explicit override map first, then a structural parse of the CAN

Chemistry Of Co2 Capture And Storage: From Molecular Interactions To Advanced Functional Materials, Nany Hairunisa, Hazim F. Abbas, Amamer M. Redwan

Al-Mustaqbal Journal of Sustainability in Engineering Sciences

In light of the industrial development taking place, the burning of fossil fuels for transportation and electricity generation, and the accompanying carbon dioxide emissions, there is an urgent and continuing need to innovate methods of capture and storage, as well as competitive materials to address increasing carbon emissions. This review describes the importance of this procedure and the technologies that help solve this problem, some of which have been adopted by many countries and industrial institutions and differ in their efficiency, cost, and applicability.

Influence Of Altitude On The Energy Payback Time Of Grid-Connected Photovoltaic Systems: A District-Level Analysis In Himachal Pradesh, India, Aniket Sharma, Mohinder Singh

Al-Mustaqbal Journal of Sustainability in Engineering Sciences

This study presents a district-level assessment of the influence of altitude on the Energy Payback Time (EPBT) of grid-connected photovoltaic (PV) systems in the Western Himalayan region of Himachal Pradesh, India. Although several studies have examined photovoltaic performance under different climatic conditions, systematic evaluation of altitude-sensitive EPBT using a standardized PV configuration remains limited for mountainous regions. A uniform 14.82 kWp polycrystalline PV system was simulated for twelve district headquarters representing elevations from 360 m to 3025 m above sea level using PVsyst software and Meteonorm meteorological data. Annual energy output and EPBT were evaluated under identical system configuration and …

Energy And Exergy Analysis Of Combined Cycle Power Plants: A Comprehensive Evaluation, Mohammad Ibrahim Hussein Hussein

Al-Mustaqbal Journal of Sustainability in Engineering Sciences

Evaluating the thermodynamic performance of combined cycle power plants (CCPPs) requires a comprehensive understanding of both energy quantity and energy quality across highly integrated components, including the gas turbine, heat recovery steam generator (HRSG), steam turbine, and condenser. This study presents a structured critical review of recent developments in energy and exergy analysis of CCPPs, covering studies published between 2001 and 2025. Unlike previous descriptive summaries, this work introduces a comparative synthesis framework that critically evaluates component-level losses, thermodynamic irreversibilities, and system optimization strategies across conventional and advanced CCPP configurations. The review shows that the condenser is the dominant source …

Mitigating The Effects Of Poor Power Quality Conditions Using Adaptive Model Predictive Current Control, B. O. Akinloye, B. G. Ologunwa, A. A. Okubanjo

Al-Mustaqbal Journal of Sustainability in Engineering Sciences

Permanent Magnet Synchronous Motors (PMSMs) are susceptible to performance degradation in applications with poor power quality, such as those found in regions with unstable electrical grids. Conventional control strategies often fail to maintain stability and efficiency under simultaneous voltage sags and harmonic distortions. This paper presents an adaptive Model Predictive Current Control (MPCC) framework designed to enhance the resilience of PMSM drives under such composite disturbances. The proposed strategy integrates three key mechanisms: a real-time voltage sag compensation module that adjusts current references and employs flux-weakening, a multivector-based harmonic mitigation technique embedded within the predictive cost function, and a thermal …