Digital Commons Network^™

Pan V. Chen

All Decisions

The tenant initiated an HP proceeding alleging harassment and seeking correction of violations, which the Civil Court dismissed after a nonjury trial, determining that the incidents did not constitute harassment and the tenant's actions contributed to the hostile environment. The Appellate Term affirmed this final judgment, emphasizing that substantial deference is owed to the trial court's credibility findings and that the Civil Court's determination was adequately supported by the record. The appellate court found no basis to disturb the lower court's dismissal of the tenant's petition.

Tibta V. 156 E. 21, Llc

All Decisions

In this illegal lockout proceeding (RPAPL § 713[10]), the Appellate Term affirmed a judgment of possession awarded to the tenant after a nonjury trial. The trial court found that the tenant was, at the very least, a constructive tenant of the premises, a determination supported by leases and DHCR records. The Appellate Term held that the trial court's factual findings regarding constructive possession should not be disturbed on appeal unless its conclusions could not be reached under any fair interpretation of the evidence, giving substantial deference to the trier of fact's credibility determinations.

The Harms Associated With Simplifying Our Language Choices, And The Need For A New Typology For Dog Breeders And Consumers, Rebekah Gregory

School of Law, Humanities and Social Sciences

‘Animal’ exploitation is not a new phenomenon. Whilst categorising ‘animals’ by broader groups rather than species helps us understand their experiences, our language still limits our ability to capture the nuances of their treatment. Dogs appointed as domesticated companions are subjected to a variety of experiences. Some are fed gourmet meals and taken to privately rented parks; and others suffer from the consequences of impulsive purchasing and physical abuse. This diversity in treatment is significantly determined by the intentions of the dog’s breeder and consumer. Subsequently, referring to all breeders and consumers with the same terminology instead of highlighting the …

Polymer Microstructures For Advanced Biomanufacturing, Tongyao Wu

LSU Doctoral Dissertations

With the continued growth of the biopharmaceutical industry, the demand for scalable, robust, and resource-efficient platforms for large-scale mammalian cell culture is amplified. Recent developments in microfluidic technology, such as precise control of the microenvironment, showed the potential to improve the performance of cell culture systems. However, constrained by scalability and operational efficiency, applying such approaches to large-scale cell culture and biopharmaceutical production presents challenges. This dissertation addresses these challenges through three independent but conceptually related technological developments. First, a roll-to-roll (R2R) fabrication process was developed for the scalable production of hollow microcarriers (HMCs). HMCs provide three-dimensional microenvironments suitable for …

Development Of A Survey And Worry Score To Evaluate Physician Burnout And Wellness Interventions During Covid-19 In The Rio Grande Valley: A Pilot Study, Victoria Jacobsen, Ericka Vazquez, Lauren Herrera, Ruth Escalera, Daniel Salinas, Bharathi Gadad, Juan Carlos Lopez-Alvarenga, Kelsey Potter-Baker

School of Medicine Publications

Background: Current research on physician burnout is limited in rural communities and physicians caring for the medically underserved. This study aimed to create an instrument to quantify the rate of physician burnout during the COVID-19 pandemic and identify effective coping interventions in an underserved mixed rural-urban region along the Texas-Mexico border.

Methods: We conducted a regional study in a sample of US physicians using a structured questionnaire developed by a multidisciplinary group. Thirty-one participants were contacted over a five-week period between December 2022 to January 2023. Participants self-selected based on their experiences of burnout during various phases of the COVID-19 …

Volume 60-1 Full Issue, Ryan Brown

Journal of STEM Teacher Education

No abstract provided.

A Mixed-Methods Study Of Teacher Collaboration In A Steam Professional Development Program, Katherine B. King, Justina R. Jackson, Talia C. Kessler, Meltem Alemdar

Journal of STEM Teacher Education

Teacher collaboration can be a powerful but challenging practice for K-12 educators. This is particularly true in the context of STEAM (science, technology, engineering, arts, and math) education, in which disciplines are integrated through innovative, student-centered teaching strategies. A sequential explanatory mixed-methods approach was employed to understand the impacts of a 5-year STEAM professional development program on K-12 teachers’ collaboration efforts. Using quantitative and qualitative methods and social network analysis (SNA), the study explored the nature of STEAM collaboration and identified aspects that supported and hindered successful collaboration. Quantitative analyses demonstrated that, after participating in the program, the teachers engaged …

Culturally Responsive Stem Teaching With Artificial Intelligence, Dr. Eun Kyung Ko

Journal of STEM Teacher Education

This study examines how integrating Artificial Intelligence (AI) tools, specifically ChatGPT, into teacher education can enhance culturally responsive teaching (CRT) in STEM education. AI's potential to support lesson planning, streamline administrative tasks, and offer personalized learning paths is explored alongside its challenges, such as ethical concerns and contextual adaptation. The study involved pre-service elementary teachers who used AI modules to design CRT-aligned STEM lessons, reflecting on their experiences through surveys and journals. The findings reveal that AI enhances efficiency, generates creative ideas, and fosters inclusivity by providing culturally relevant materials. However, the study emphasizes that AI cannot replace human expertise …

Navigating Stem Integration: Instructional Strategies Employed By Teachers In High School Classrooms, Yousef Alrashdi, Paul Asunda

Journal of STEM Teacher Education

This study examined the instructional strategies used by high school STEM teachers to incorporate real-world problem solving in their classroom teaching. A qualitative approach was utilized, and data was collected through teacher interviews, classroom observations, and documents. Thematic analysis was used to analyze data, and the following themes emerged: (a) there is no single instructional strategy, but teachers adapt their strategies to the context, (b) the importance of preparation using various sources and building on student’s prior knowledge, (c) a focus on asking "why" questions as a priority, (d) the necessity of making group work tangible, (e) the use of …

“I’M So Hungry”: Assessing Stem Sensemaking Through Data-Informed Writing, Bailey Nafziger, Alesia Mickle Moldavan, Katie Brkich

Journal of STEM Teacher Education

To engage elementary learners in the complex task of STEM sensemaking, teachers must entice and inspire learners to ask questions, explore, and communicate their findings. This article shares a 5E/3D lesson designed and taught in our elementary science methods courses to model how preservice teachers can integrate literacy and mathematics into a science investigation for STEM sensemaking. We modified a traditional lesson on bird beak adaptations to have a differentiated, interdisciplinary writing component justified by data. We discuss why data-supported literacy is a non-negotiable in science education reforms and how teachers can differentiate tasks to make scientific writing more approachable …

Vol 60 -1 Front Matter, Ryan Brown

Journal of STEM Teacher Education

No abstract provided.

Educational Intervention To Improve Awareness Of The Female Athlete Triad Among Division I Athletes, Carly J. Haring, Jonathan Olson Md

Aesculapius Journal (Health Sciences & Medicine)

Introduction: The Female Athlete Triad poses short- and long-term health risks for female athletes through the interrelated components of low energy availability, menstrual dysfunction, and impaired bone health. Despite its prevalence, awareness and education surrounding the Triad remain limited, contributing to delayed recognition and care. The objective of this project was to assess baseline knowledge and comfort discussing Female Athlete Triad–related topics among Division I female athletes and to evaluate the impact of a brief educational intervention on knowledge, attitudes, and help-seeking intentions.

Methods: A community-based educational initiative was conducted in November 2025 among Division I female athletes …

Mokken Scale Analysis Of The Teacher Formative Assessment Practice Scale, Eric Asare

Knowledge and Creativity Expo

This study examined the nonparametric item response characteristics of the Teacher Formative Assessment Practice Scale (TFAPS) using Mokken scale analysis within its established two‑factor structure. The TFAPS includes a teacher‑directed subscale (items 1–6) and a student‑directed subscale (items 7–10), each intended to capture distinct dimensions of formative assessment practice. Weighted Loevinger scalability coefficients for polytomous items were computed to assess how well each subscale met the assumptions of the monotone homogeneity model. Results indicated that the teacher‑directed subscale had a scalability coefficient of H = 0.354 and Cronbach’s alpha of 0.721, suggesting weak but acceptable internal structure. In contrast, the …

From Tiktok To Transcendence: Reclaiming Focus Through Contemplative Education, Araceli Gordus Huizar

Knowledge and Creativity Expo

In an era shaped by the attention economy and digital technology, students in higher education navigate constant stimulation that fragments attention, increases stress, and challenges emotional regulation. Research in psychology and neuroscience suggests that chronic exposure to social media, AI tools, and multitasking environments contributes to divided attention and diminished cognitive performance. While institutional responses, such as phone bans, attempt to manage distraction, they often fail to cultivate the internal capacities necessary for sustained focus and meaningful learning.

This paper argues that contemplative education--grounded in Buddhist and Hindu contemplative traditions and informed by humanistic psychology and contemporary mindfulness-based interventions--offers a …

Designing And Teaching An International Ai In Education Course: Lessons From Odu’S Bridge Initiative, Rita K. Detrick

Knowledge and Creativity Expo

This presentation reflects on the design and implementation of ODU’s BRIDGE “Introduction to AI in Education” course, a synchronous international program connecting learners across countries, disciplines, and levels of AI experience. The course was structured around three core aims: building foundational AI literacy, developing practical skills through hands-on experimentation, and cultivating critical evaluation of the ethical, cultural, and instructional implications.

Over seven weeks, participants engaged in live discussion, structured activities, tool testing, and iterative project development. The culminating assignment required learners to design a short AI-enhanced learning activity grounded in their own educational context, with explicit attention to responsible use, …

Strategic Knowledge: Innovation, Technological Sovereignty, And Geopolitical Competition, Chick Edmond

Knowledge and Creativity Expo

The Twenty-First Century's Shift in Advanced Technologies as Instruments of Economic Growth to central pillars of geopolitical competition States are increasingly using technologies such as artificial intelligence, semiconductors, quantum computing, biotechnology and digital infrastructure not simply as commercial assets but as strategic resource bases to enhance their national security and global influence. This paper will examine how innovative systems have been incorporated into broader geopolitical competitions creating "strategic knowledge politic”. This paper dwells on International Political Economy (IPE), Security Studies and Innovation Theory literatures to analyze the changing concepts of technological sovereignty and their implications for the global order. The …

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

Defensive Publications Series

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

Universal Power Governance Architecture With Isotopically Enriched Interfaces And Compliant Buffers, N/A

Defensive Publications Series

This disclosure relates to a universal power governance micro-architecture for sub-three nanometer heterogeneous processors. The architecture features an adaptive energy-state engine powered by an isolated sovereign power rail to compute a total energy state of a primary power rail and trigger a transient clamp based on a predictive Hamiltonian function. The system incorporates a semiconductor thermal interface structure with an isotopically enriched diamond layer, which may exceed 99.5% carbon purity, and a refractory metal adhesion layer forming a metal-carbide bond to facilitate ballistic phonon transport. Additionally, the architecture utilizes nanoporous compliant buffer sleeves around conductive vertical pillars to provide reversible …

Thermal Management System For Liquid-Cooled Electronic Modules During Transit, N/A

Defensive Publications Series

The present publication describes a thermal management system for protecting liquid-cooled electronic modules during transit. The system utilizes climate-controlled packaging featuring a phase change material to absorb and release heat. This approach maintains the internal temperature of the packaging within a desired range, helping to prevent liquid coolant residue from freezing during shipping. By regulating the thermal environment, the system facilitates the transportation of electronic modules containing liquid coolant, thereby streamlining logistics and deployment.

Split-Chassis Architecture For Solid State Memories, N/A

Defensive Publications Series

The present disclosure details a split-chassis hardware architecture for non-volatile data storage devices. The design physically and thermally decouples high-performance control logic from the storage media by utilizing two mechanically detachable sub-assemblies. A logic sled houses heat-generating components and signal conditioning circuitry, while a passive media vault contains the raw storage media and telemetry tracking components. The modules interface through compression connectors and a tension-latch mechanism.

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

Defensive Publications Series

Abstract

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

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

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

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

Defensive Publications Series

Abstract

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

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

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

Odu Love Permanent Outdoor Public Sculpture Research/Proposal, Cristina N. White

Knowledge and Creativity Expo

For the Knowledge and Creativity Expo, I am proposing the installation of an official Virginia LOVEworks sign on the Old Dominion University campus, supervised by faculty member John Roth. This project is part of my own undergraduate research for becoming a public artist. This endeavor will assist in practical and direct training on submitting concepts in a Public Art RFP (Request for Proposal) for municipal, state and/or regional public sculptures, as well as avenues to obtain funding to execute and establish a successful career as a public artist.

As a Carnegie R1 research institution, ODU has a unique opportunity to …

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

Defensive Publications Series

Abstract

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

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

Art Exhibition Of Metals And Fabric, Heather Nguyen

Knowledge and Creativity Expo

Heather Nguyen is an undergraduate senior majoring in 3D media and Material Studies. They will be exhibiting two artworks made of metal and fabric.

Client-Bound Provenance And Session Isolation For Multi-Tenant Llm Orchestration Frameworks, Amisha Kirti, Nazrulhasan Nishat Alam

Defensive Publications Series

Current Large Language Model (LLM) orchestration frameworks cannot cryptographically prove which end-client generated a request, trace, memory update, or provenance entry. This submission introduces a cryptographically enforced provenance and runtime isolation technique that binds every execution artifact to the originating client, preventing cross-tenant data leakage, cache contamination, audit ambiguity, and compliance failure, while enabling scalable shared backends.

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

Defensive Publications Series

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

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

The Connected Information Interface That Can Be Observed From The Outside As An Observer And That Can Be Explored From Within The Inside As A Navigator Where New Information Is Generated By Zooming In And Zooming Out Operations., Punarjeewa Abeysekera

Defensive Publications Series

This paper describes a connected information interface that can be observed from the outside as an observer and that can be explored from within the inside as a navigator where new information is generated by zooming in and zooming out operations. The user of the connected information interface will be able to browse through and explore the connected information that will be presented utilizing the connected information interface. In order to experience this browsing and exploration procedures, the user will incorporate virtual technologies such as virtual reality and augmented reality. The information that will function as the connected information can …

Enhancing Model Precision With Quality-Aware Label Selection, Fei Liu, Manqi Zhao

Defensive Publications Series

A novel methodology is presented for enhancing the precision of machine learning models utilized in high-stakes domains, specifically systems for defense against malicious advertising activities (AdSpam defense). This approach addresses the substantial challenges posed by noisy and incomplete positive training labels common in real-world datasets. By systematically refining the positive label set, the methodology focuses on identifying and retaining only the most reliable and consistently represented spam patterns. This technique integrates model-based explainability, specifically SHapley Additive exPlanations (SHAP), with feature-based clustering to construct a high-quality training dataset. This process effectively mitigates the negative effects of ambiguous labels, unknown negative examples, …

Elbow Rub Test Fixture, Anonymous

Defensive Publications Series

An internal test fixture and method for evaluating wear resistance of vehicle interior trim components subjected to repeated elbow contact are disclosed. The fixture comprises a single pneumatic actuator coupled with a modular load applicator configured to deliver predefined normal loads, and an electronic control system based on a programmable microcontroller. The system enables reciprocating motion of a contact element over a test specimen to simulate customer interaction under controlled conditions. The disclosed fixture integrates standardized load modules and simplified control architecture to improve repeatability and reduce setup complexity.