Digital Commons Network^™

Cgas-Agonistic Spherical Nucleic Acids Reprogram The Glioblastoma Immune Microenvironment And Promote Antitumor Immunity, Akanksha S Mahajan, Corey Dussold, Seunghyun Kim, Rachel Jarvis, Lisa A Hurley, Serena Tommasini-Ghelfi, Jungsoo Park, Connor M Forsyth, Bin Zhang, Jason Miska, Amy B Heimberger, Chad A Mirkin, Alexander H Stegh

2020-Current year OA Pubs

The cyclic GMP-AMP synthase-Stimulator of Interferon Genes (cGAS-STING) pathway is an important DNA-sensing mechanism that increases T cell trafficking and activation in tumors and reverses the immunosuppressive phenotype of myeloid cells. Therefore, direct STING targeting using synthetic cyclic dinucleotides (CDNs) is an attractive strategy for treating lymphocyte-depleted and myeloid cell-enriched tumors, such as glioblastoma (GBM). However, inadequate bioavailability and poor cellular accumulation limit the clinical development of CDNs, particularly for noninvasive administration strategies. Spherical nucleic acids (SNAs) have emerged as promising modular constructs for creating therapeutic lead compounds for many diseases, including different forms of cancer. Here, we report the …

Framework-Based Mathematics Intervention: A Practice Guide For School Psychologists, Shaalein C. Lopez

Journal of Applied Disciplines

School psychologists are charged with providing guidance related to the implementation of evidence-based interventions across academic subjects including mathematics. Despite recent advances in the availability of empirically supported intervention and instructional strategies in math, finding appropriate math-related interventions that go beyond fluency building and metacognitive techniques into the realm of math understanding and concept building remains difficult for school psychologists. The adaptation of a framework-based approach to mathematics intervention, such as one developed by the National Center on Intensive Intervention, provides school psychologists with an evidence-based approach that overcomes numerous barriers to providing support for students struggling with mathematics learning.

Blue Light Therapy Improves Sleep Quality And Or Sleep Disturbances In Those With Concussions: A Critically Appraised Topic, Bradlee Wells, Audrey Meche, Aric J. Warren

Journal of Sports Medicine and Allied Health Sciences: Official Journal of the Ohio Athletic Trainers Association

Introduction: Concussions are a form of traumatic brain injury (TBI) that cause problems such as headaches, dizziness, dazed or confusion, difficulty remembering or concentrating, but one of the most common complications that can occur from concussions are sleep disturbances/disorders. About 90% of those affected by TBI reported some type of sleep disturbance that include insomnia, frequent wakefulness after onset sleep, poor sleep quality, increased need for sleep, and/or daytime sleepiness that may possibly interfere with daily living activities. Previous evidence suggests that daily blue wavelength light therapy (BLT) may be effective at reducing fatigue and improving sleep in patients recovering …

Comparing Lower Extremity Kinematics Using Trazer And Inertial Motion Capture Systems, Gabriella Juoza-Clark Spt, Joellen Carter Spt, Nikki Stam Spt, Kevin Robinson Pt, Dsc, Ocs

Journal of Sports Medicine and Allied Health Sciences: Official Journal of the Ohio Athletic Trainers Association

Introduction: This study assessed the validity of a non-immersive body motion tracking system (TRAZER) as an alternative to using Inertial Measurement Units (IMU)-based motion capture (MyoMotion) for lower extremity kinematic analysis. Methods: Twenty healthy participants (10 females, 10 males) with a mean age of 24.03 years (range: 20-33 years) and a mean BMI of 25.15 kg/m² (range: 18.45-32.23 kg/m²) performed double and single-leg squats. Data Analysis: Kinematic data from TRAZER and MyoMotion IMUs were compared using a mixed two-way ANOVA. Results: No significant differences were observed in knee flexion data across all movements (p > 0.05) and knee abduction during the …

Pathways To Second Chances: A Multidisciplinary Integrative Review Of 25 Years Of Research On The Employment Of Formerly Incarcerated Individuals, Tamanna K. Patel, C. Allen Gorman, Sarah C. Tucker, Joseph R. Himmler, Tanya F. Contreras

River Cities Industrial and Organizational Psychology Conference

In this paper, we present an integrative review of the research literature on the challenges and opportunities surrounding the employment of formerly incarcerated individuals (FIIs). Our primary aim is to integrate 25 years of multidisciplinary evidence into vocational behavior scholarship, offering an employment life-cycle framework that identifies research gaps and practical implications for employers. Grounded in a multidisciplinary approach, we synthesize research across various domains, including criminal justice, psychology, sociology, law, economics, and management, to provide a holistic understanding of the systemic barriers that hinder FIIs' reintegration into the workforce. We introduce an integrative framework that examines the employment life …

Impact Of Artificial Intelligence On Employee Job Performance, Communication, And Job Security, Andrew S. Duck, David Earnest

River Cities Industrial and Organizational Psychology Conference

The recent mass influx of Artificial Intelligence (AI) over the last 10 years has impacted how many professions operate (Olan et al., 2023). These operational changes include a decrease in clerical positions as AI tools, such as language automation software, have been implemented to replace routine tasks like data entry and shift scheduling (World Economic Forum, 2023). Changes can also be seen in healthcare, where AI diagnostic tools assist doctors in interpreting medical images, such as tears or fractures (Gitto et al., 2024). Research supports AI integration benefits, including reduced employee burnout and lower turnover rates in jobs such as …

Automated Synthesis And Verification Of Distributed Systems Using Universal Plan Intermediate Representation (Upir), Subhadip Mitra

Defensive Publications Series

The semantic gap between distributed system specifications and implementations leads to significant development costs and runtime failures. This paper presents UPIR (Universal Plan Intermediate Representation), which combines formal verification, program synthesis, and machine learning to automatically generate verified implementations from high-level specifications. The system introduces three key components: (1) a compositional verification engine using SMT solving that achieves O(1) incremental complexity through proof caching and dependency tracking, reducing verification time by up to 274x compared to monolithic approaches; (2) a synthesis engine applying Counterexample-Guided Inductive Synthesis (CEGIS) to distributed systems, generating implementations in 1.97ms average with 43-75% success rates; and …

End-To-End Framework For Llm Multi-Agent Alignment Through Collaborative Feedback Orchestration, Andrea Morandi, Saurabh Gupta

Defensive Publications Series

Large Language Models (LLMs) have revolutionized artificial intelligence (AI) applications across industries. As organizations increasingly deploy these powerful systems, ensuring their alignment with human values, safety requirements, organizational policies, and contextual regulations remain a significant challenge. Existing alignment methods like Reinforcement Learning from Human Feedback (RLHF) are labor intensive, expensive, time-consuming, prone to human error, and lack standardized frameworks for implementation. To overcome such issues, a system is proposed herein that uses an Adaptive Multi-Agent Orchestration Framework for Contextual LLM Alignment. The proposed system addresses critical limitations in current alignment approaches.

Using Machine Learning To Predict Maintenance Intentions Of Septic System Owners, Audrey Mccrary, Luna Yang, Allen Berthold

Journal of Contemporary Water Research and Education

The scope of literature related to septic system maintenance from an educational and behavioral perspective, rather than a quantitative water quality approach, is limited. The water resources management community needs improved insight into the human factors related to septic system maintenance decisions and identification of effective intervention strategies. Using a modified Theory of Planned Behavior (TPB; Ajzen 1991) framework, the purpose of this study was to identify factors that predict homeowners’ intention to have their systems inspected and pumped within the next three years. As part of a small-scale educational program, a survey was sent to 1,374 homeowners with septic …

Spatialized Audio For Immersive Navigation In Augmented Reality, Dongeek Shin

Defensive Publications Series

Navigational cues in augmented reality often rely on visual indicators, which can result in a less immersive user experience. This disclosure presents a method for providing spatialized audio navigation through augmented reality glasses or similar devices. The technology simulates three-dimensional audio, creating the effect of sound originating from specific intermediate or final destinations. By modulating independent speaker responses and simulating the acoustics of a sound’s path, navigational instructions are perceived as coming from a precise location in the user’s environment. This approach enhances augmented reality navigation by creating a more intuitive and immersive audiovisual experience, moving beyond purely visual cues.

Decarbonizing China's Economy: Empirical Insights On Policy Stringency, Industrial Transformation, And Green Innovation, Saqib Munir

Arab Economic and Business Journal

China, the world’s largest greenhouse gas emitter, grapples with aligning economic growth with its 2030 carbon peak and 2060 neutrality goals, yet the combined impact of policy stringency, industrial transformation, and green innovation on carbon intensity remains insufficiently understood. This study examined the drivers of carbon intensity in China from 1999 to 2023, analysing how policy stringency, industrial restructuring, green innovation, renewable energy, foreign direct investment, urbanization, and energy efficiency interact. Using World Bank, we applied econometric techniques like ARDL, FMOLS, and variance decomposition to capture dynamic relationships and address endogeneity. Results confirm that stringent policies and shifts from heavy …

Development Of A Longitudinal, Small-Group Pocus Curriculum For Internal Medicine Residents, Shah N. Mahmud Do, Ammar W. Bhatti Do, Ariq Rahman Md, Omar Al Qassab Md, Fraser Mackay Md

The Lahey Journal

Development of a Longitudinal, Small-Group POCUS Curriculum for Internal Medicine Residents

Introduction

Point-of-Care Ultrasound (POCUS) is integral for clinicians to enhance their diagnostic and procedural skills. Unlike Emergency Medicine or Anesthesia training programs, Internal Medicine programs often lack a structured and standardized curriculum. We thus developed a longitudinal and multi-pronged POCUS curriculum aimed at building trainee competency when utilizing ultrasound for diagnostic and procedural work-up.

Methods

The curriculum encompasses the following: basics of ultrasound, ultrasound-guided procedures, thoracic ultrasound/Bed Lung Ultrasound in Emergency (BLUE), and cardiac ultrasound/Focus-Assessed Transthoracic Echocardiography (FATE). These modules were integrated into the residents’ clinic blocks. We utilized …

A Systematic Review Of Poisoning Attacks Against Large Language Models (Llm), Patrick Mcguffin

Cybersecurity Undergraduate Research Showcase

This paper provides a comprehensive review of poisoning attacks against large language models (LLMs), drawing primarily from Fendley et al. (2025) and complementary studies from 2022–2025. It categorizes poisoning research into two key dimensions, Metrics and Specifications, to evaluate how attack success is measured and how attacks are implemented. This paper synthesizes quantitative results, experimental findings, and defense strategies across data, model, and multi-modal poisoning contexts. Finally, it highlights emerging challenges posed by self-adaptive and synthetic-data-driven LLMs, and proposes future research directions to strengthen model security and reliability.

Sweat And Subjectivity Copyright Impulses, Danny Friedmann

Fordham Intellectual Property, Media and Entertainment Law Journal

Generative artificial intelligence (gAI) is generating vast vol- umes of content, including visual art with minimal human effort that competes directly with visual artists and threatens to dilute human culture in the process. In response, courts and copyright offices are quietly reintroducing two doctrines long considered incompatible with modern copyright: sweat of the brow, which rewards labor over originality, and aesthetic discrimination, which risks conditioning protection on perceived merit.

This article is the first to demonstrate how legal authorities are reintroducing these discredited doctrines under the guise of regulating AI-assisted outputs, thereby eroding the set of copyright doctrines accepted by …

2025 November 10 - Staff Senate Agenda And Minutes, Staff Senate, East Tennessee State University

Staff Senate Agendas and Minutes

No abstract provided.

Patient Safety In Ambulatory Hysteroscopy, Myko Lanier

Walden Dissertations and Doctoral Studies

NA

When Blatant Stereotype Threat Manipulations Fail: Participant Skepticism, Perceptions Of Experimenter Bias, And Anticipation Of Performance Used For Evaluation, Allison Seitchik, Emily J. Hangen

Psychology Faculty Publications

Past research has found a lack of stereotype threat effects with various explanations. Across four studies, we investigated participant skepticism toward blatant stereotype threat (vs. control) materials by measuring women’s personal beliefs and perceptions of the experimenter’s beliefs about gender differences existing on an upcoming math test. The results supported personal skepticism: participants perceived the experimenter as holding stereotyped beliefs on the task to a greater degree than the participants did themselves, regardless of stereotype threat materials. Although participants’ beliefs and their perceptions of the experimenter’s beliefs did not explain performance, anticipation of their data being used to test for …

Assessing The Role Of Social Media As A Complementary Source In Pharmacovigilance: Insights From Faers, X (Formerly Twitter), And Askapatient Data Across Multiple Drug Classes, Nwanneka Okere

Dissertations

Background: Adverse drug reactions (ADRs) pose significant public health challenges yet remain substantially underreported in traditional pharmacovigilance systems. Social media platforms and patient-reported outcome forums have emerged as potential complementary sources for capturing real-time patient experiences with medications, but their integration with established surveillance systems remains underexplored.

Purpose: This study examined ADR reporting patterns across FDA Adverse Event Reporting System (FAERS), X (formerly Twitter), and Askapatient to evaluate whether patient-generated digital data can complement traditional pharmacovigilance systems for enhanced drug safety monitoring.

Methods: An explanatory sequential mixed-methods design analyzed 107,753 reports representing 289,740 individual ADR occurrences for …

How Ftc Data Security Cases Inform The Development Of Legally Accountable Software, Jeff Kosseff, Ellis Fenske, Christopher Brown, Daniel S. Roche

Fordham Intellectual Property, Media and Entertainment Law Journal

Over the past two decades, the Federal Trade Commission has brought dozens of enforcement actions against companies for failing to adequately secure customers’ personal information. The actions typically result in a consent decree, in which the company agrees to improve its data security practices and provide the FTC with oversight of those improvements. When the FTC first brought data security cases, its orders generally required the companies to adopt “reasonable” data security programs. But a 2018 Eleventh Circuit opinion, LabMD v. FTC, requires the orders to contain far more specific data security requirements. In this Article, we conduct an in-depth …

Detecting Generative-Ai-Enabled Polymorphic Malware: A Semantic-Behavior Approach, Allyson M. Morris

Cybersecurity Undergraduate Research Showcase

AI drastically reduces the effort required to produce malware that mutates both its code and behavior, thereby creating polymorphic and nondeterministic variants in which traditional signatures and many heuristic defenses fail. In this paper, I survey recent developments in AI-assisted malware generation, explain why conventional defenses are insufficient, and propose a layered detection architecture emphasizing semantic behavior, streaming anomaly detection, and defensive generative augmentation. I also outline why this approach generalizes to previously unseen AI-mutated samples, provide an evaluation plan with meaningful metrics, and describe a feasible MVP roadmap for practical deployment. Recent disclosures and threat intelligence further highlight the …

Investigating The Security Vulnerabilities Of Ip Cameras: Classifications And Trends From Public Cve Data, Sam Oliver

Cybersecurity Undergraduate Research Showcase

Internet of Things (IoT) devices are increasingly targeted by cyber attacks due to weak authentication, insecure communication protocols, outdated firmware, and many other vulnerabilities. Internet Protocol (IP) cameras, a subset of these IoT devices, are particularly vulnerable and often transmit sensitive information. This paper analyzes vulnerability data from the National Vulnerability Database (NVD) to classify security vulnerabilities affecting IP cameras. Using this dataset, the paper examines the types and frequencies of these vulnerabilities, including authentication bypass, web interface exploits, and default and weak credentials. We additionally examine trends over time and across categories. This research aims to identify the primary …

Beyond The Madrasah: Digital Pedagogies And Nigerian Yoruba Muslim Women's Engagement With Islamic Knowledge, Abdulgafar Olawale Fahm

Comparative Woman

This paper explores how digital pedagogies are reshaping the landscape of Islamic education among Nigerian Muslim women, with a primary focus on Yoruba communities in Southern Nigeria. Historically, Islamic learning in Nigeria has been rooted in traditional institutions, notably the madrasa, characterized by face-to-face instruction and rigid gender norms. However, the proliferation of digital technologies - particularly online madrasas, WhatsApp study groups, Zoom-based Qur’anic classes, and Islamic mobile applications - has significantly altered women’s access to religious knowledge. Utilizing ethnographic evidence and qualitative interviews, this interdisciplinary study examines how digital platforms enhance accessibility, overcome sociocultural barriers, and enable Nigerian Yoruba …

University Of New Hampshire 2025-2026 Faculty Senate Xxx - November 10, 2025 Minutes Summary, Faculty Senate

Faculty Senate Agendas & Minutes

No abstract provided.

In Re Viatris Inc. Securities Litigation

2025 Decisions

USDC for the Western District of Pennsylvania

Correcting Class Imbalance Through Synthetic Training Data And 3d Modeling For Carabid Pitfall Trap Sampling, Blair Mirka

Geography ETDs

Crowdsourced biodiversity data provide an accessible foundation for large-scale ecological monitoring, but class imbalance limits automated species identification, particularly for rare taxa. This research explores the use of synthetic training data generated from 3D models of carabid beetle museum specimens to improve detection and classification performance for underrepresented species in crowdsourced datasets. High-resolution 3D models were created to simulate variation in lighting, orientation, and background. These synthetic images were incorporated into convolutional neural network training datasets at varying synthetic-to-real ratios to assess their impact on classification accuracy. Models were evaluated using controlled pitfall-trap imagery to examine the influence of scene …

Re: Butte Priority Soils Operable Unit (Bpsou) 2025 Monthly Progress Report. Consent Decree For The Butte Priority Soils Operable Unit. Civil Action No. Cv 89-039-Bu-Seh, Josh Bryson

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Soccer In-Game Event Classification Using Spatio-Temporal Data, Million Haileyesus

Theses and Dissertations

Classifying soccer ball events, such as pass, shot, ball loss, and ball out, are crucial for advancing game analytics and tactical insights. This thesis investigates the application of machine learning to classify these ball events using player and ball spatio-temporal data, as well as additional features. We implement and compare traditional machine learning algorithms (AdaBoost, Logistic Regression, and Random Forest) with several deep learning approaches, including Feed-Forward Neural Network (FFNN), sequence-to-sequence (seq2seq) recurrent models (Long Short-Term Memory (LSTM) and Gated Recurrent Unit (GRU)), and Transformer. Our experiments, evaluated on a dataset comprising of three professional soccer matches using accuracy, precision, …

Tales From The Crypt: Margaret Thatcher's Industrial Policy And Its Afterlife, James Silverwood, Richard Woodward

Research Outputs: 2025-Present

No abstract provided.

Where Did All The Genericide Cases Go? And Should They Be Gone For Good?, Daniela Camacho

Fordham Intellectual Property, Media and Entertainment Law Journal

Trademarks are all around us. It would be difficult to go an entire day without encountering a trademark—In fact, three-fourths of the words we use in our day-to-day conversations have been claimed as trademarks by various companies for various products. Often, we don’t even recognize all the marks we come across as trademarks. Words such as “aspirin,” “escalator,” and “trampoline” were all once trademarks. Over time, these words began to signify the product more than the producer; Because the marks could no longer identify the product’s source as trademarks are supposed to, the marks suffered “genericide” and were cancelled.

In …

The Echo: November 10, 2025, Taylor University

2025-2026 (Volume 113)

No abstract provided.