Digital Commons Network^™

The Impact Of Artificial Intelligence On Ecojustice And Ethics, Vishnu S. Pendyala

Faculty Research, Scholarly, and Creative Activity

Artificial Intelligence (AI) has attained human-level performance in tasks like text summarization, machine translation, and code generation while handling multimodal data. Despite these advances, AI poses challenges such as generating false or biased outputs, causing discrimination, and exhibiting opaque decision-making processes that hinder bias mitigation. Additionally, training large language models (LLMs) for AI consumes substantial energy and can enable autonomous warfare, posing a threat to eco-justice, and raising sustainability concerns. Their ability to create realistic content poses the risk of misuse and perpetuating misinformation. This article addresses these ethical issues and presents solutions through regulation and technology, with examples of …

Author Correction: Beta Activity In Human Anterior Cingulate Cortex Mediates Reward Biases, Jiayang Xiao, Joshua A Adkinson, John Myers, Anusha B Allawala, Raissa K Mathura, Victoria Pirtle, Ricardo Najera, Nicole R Provenza, Eleonora Bartoli, Andrew J Watrous, Denise Oswalt, Ron Gadot, Adrish Anand, Ben Shofty, Sanjay J Mathew, Wayne K Goodman, Nader Pouratian, Xaq Pitkow, Kelly R Bijanki, Benjamin Hayden, Sameer A Sheth

Faculty, Staff and Students Publications

No abstract provided.

The Role Of Langmuir Circulation In Coastal Flows Driven By Wind, Waves And Tides, Thathsarani Dilini Herath Herath Mudiyanselage

USF Tampa Graduate Theses and Dissertations

Langmuir Circulation (LC) is a wind and wave-driven process and is a key driver of vertical mixing and transport in the ocean. In coastal shelf regions, LC can span the entire water column, linking surface and bottom boundary layers and amplifying turbulent mixing. However, the influence of LC on vertical mixing and cross-shelf transport in shallow, tidally forced coastal waters remains poorly understood. This dissertation addresses this knowledge gap by developing a novel modeling framework based on the Reynolds-Averaged Navier–Stokes (RANS) equations, offering a computationally efficient alternative to more resource-intensive Large Eddy Simulations (LES).

The proposed RANS-based approach is first …

Mediating Role Of Self-Efficacy In The Association Between Fatigue And Depressive Symptoms In Females With Rheumatoid Arthritis, I-Yu Hsiao, Hanoch Livneh, Chieh-Tsung Yen, Ming-Chi Lu, Wei-Jen Chen, Tzung-Yi Tsai

Counselor Education Faculty Publications and Presentations

Background and Objectives: Extant research on the relationship between fatigue and depression in people with rheumatic diseases portrays a divergent picture. While caring for persons with this medical condition, one issue that represents individual confidence in carrying out specific tasks, namely self-efficacy level, has attracted significant attention. Yet, the information regarding whether self-efficacy may pose a clue linking these two major symptoms is still unknown. The aim of this study, therefore, is to examine whether self-efficacy mediates the association between fatigue and depressive symptoms among persons with rheumatoid arthritis (RA). Materials and Method: A cross-sectional study of 224 …

Anti-Transforming Growth Factor-Β Treatment Shows Increased Bone Mass And Strength In A Novel Mouse Model For Osteogenesis Imperfecta Type I, Ellen Busschers, Yuqing Chen-Everson, Mary Adeyeye, I-Wen Song, Emily Busse, Alexis Castellon, Oscar Ruiz, Nicole Meyers, Yangjin Bae, Catherine Ambrose, Brendan Lee

Faculty, Staff and Students Publications

Anti-transforming growth factor beta (TGF-β) is a promising approach for the treatment of osteogenesis imperfecta (OI). To date, preclinical and clinical studies for the use of anti-TGF-β therapy have focused on moderate to severe OI caused by qualitative defects in collagen. However, the majority of OI patients are represented by type I OI. Mutations resulting in the haploinsufficiency of type I collagen is the cause of OI type I in the majority of patients. To study the effect of anti-TGF-β therapy in type I OI, we generated a novel mouse model for OI type I. CMV-CRE mice were crossed to …

Low Frequency, High Complexity: Assessing Skill Decay In Transesophageal Echocardiography Post-Simulation Training, Enyo Ablordeppey, Emily Terian, Collyn T Murray, Laura Wallace, Wendy Huang, Erica Blustein, Alexander Croft, Ernesto Romo, Mansi Agarwal, Daniel Theodoro

2020-Current year OA Pubs

INTRODUCTION: Resuscitative transesophageal echo (rTEE) is a promising adjunct to cardiac arrest resuscitation. However, it is a high-acuity diagnostic tool that is rarely used in this setting and its safety establishment is limited because of low occurrence. High-acuity, low occurrence skills such as rTEE during cardiac arrest inevitably decay. In this study we examined the content and percentage of rTEE skill decay following simulation-based education (SBE).

METHODS: Resuscitative TEE-naïve emergency physicians (EP) were trained using a combination of clinical exposure, web-based didactics, and monthly hands-on sessions with a high-fidelity rTEE simulator for four months. The COVID-19 pandemic created a natural …

Xplain: Xai For Interpretable Llms Through Perturbation Analysis And Normalized Vector Similarity, Gopala Dhar, Sharmila Devi

Defensive Publications Series

This document introduces XAI methodology, referred to as XPLAIN, to address the challenges of LLM interpretability by developing a perturbation-based normalized vector similarity metric to identify and quantify word level importance of the prompt provided to an LLM on its generated output. By analyzing which words or phrases most significantly influence an LLM's decisions, the described techniques enhance the explainability and interpretability of large language models. The approach perturbs the prompt via masking words to generate several outputs through the LLM and then compares the outputs with the generated output of the unperturbed prompt through vector-based similarity at a semantic …

Enabling Privacy-Compliant And Context-Aware Tool Use By Artificial Intelligence Agents, Victor Carbune, Nevan Wichers, Oriana Riva

Defensive Publications Series

This disclosure describes techniques that enable an AI agent to learn the appropriate mode of access to user data. In a first mode, the agent can obtain user-related data by directly asking the user and obtaining explicit permission from the user. In a second mode, the AI agent determines situations where it is appropriate to obtain, with user permission and based on user interactions and settings, user data via authenticated apps. The techniques enable the agent to discern when to access a certain personalization tool based on inferring what the user may find appropriate. The techniques enable an AI agent …

Automatic Documentation Updates Using Artificial Intelligence, Matija Blagus, Ricardo Gutierrez, Jorge Rúa, Santosh Guddala

Defensive Publications Series

Many organizations rely on a combination of first-party and third-party software to support their business units in solving specific challenges. These software components are often interconnected, resulting in a complex mesh of systems that underpin critical business processes. This disclosure describes techniques that use infrastructure-as-code (IaC) principles to leverage information available within a codebase or systems to automatically generate system descriptions and documentation using artificial intelligence (AI). The techniques consolidate data from multiple sources to synchronize documentation across entire systems, eliminating the need for manual updates and mitigating ambiguity regarding system states.

Split Firing Algorithm For Movable Printers, Hp Inc

Defensive Publications Series

The movable printers are now reference robots in construction world that draws lines and text on the floor, translating architects' and engineers' digital plans into real floorplans. This accelerates construction and speeds up their work. Due to cost and simplicity, the movable printers do not include most of the hardware found in standard printers that ensure printhead reliability, extended autonomy, and unlimited power when connected to the electricity network.

As a result, the weight, size, and equipment must be minimized. One of the biggest challenges to take in account is the power supply. During movement and extensive printhead usage, combined …

Throughput Of Ascon Compared With Popular Iot Encryption Algorithms, Mitchel R. Harvey (Ryan), Andrew M. Kaiser, Garrett W. Hoiness

Military Cyber Affairs

No abstract provided.

Anomaly Detection Of Network Layer Attacks Against Cyber Physical Systems Using Machine Learning And Deep Learning Techniques, James Alger, Michael Tu

Military Cyber Affairs

This research paper presents the analysis of using machine learning and deep learning algorithms on detecting anomalous network traffic in Cyber-Physical Systems (CPS). Using a real PLC CPS-based system, normal and anomalous network traffic will be captured using Wireshark. The research analyzes a DDoS attack. The focus of the research is to identify the most effective feature combinations and evaluate them on ML and DL models. The emphasis is on enhancing detection strategies rather than exploiting device vulnerabilities. The detection of network attacks often involves handling a vast array of high-level features. Previous studies (Li & Chasaki, 2022) apply machine …

The Digital Battlefield: Safeguarding Military Drones Against Cyberattacks, Jason Ashong, Arun Venkitanarayanan, Benjamin Yankson

Military Cyber Affairs

The Internet of Battlefield Things (IoBT) is an advanced network of interconnected devices that significantly enhance military operations through real-time data exchange and situational awareness. While IoBT offers tactical advantages like improved surveillance, reconnaissance, and operational effectiveness, it also introduces substantial cybersecurity risks. Adversaries can exploit vulnerabilities within these networks, potentially compromising mission integrity and national security. This research examines the cybersecurity measures of commercial drone controllers and their correlation with military devices. It aims to enhance future vulnerability assessments with advanced tools and approaches to better secure critical military operations. The study highlights the need for robust security architectures …

Using Blockchain Technology To Help Secure America's Defense Critical Infrastructure, Vimal Buck, Aerin Krebs, Brynn Hillard, Jakob Gerha, Joseph Lutma, Srikar Maduposu, Ted Allen

Military Cyber Affairs

Critical water infrastructure in the United States faces increasing cybersecurity threats from state-sponsored actors, with potentially devastating consequences for national security, economic stability, and public health. (Cybersecurity and Infrastructure Security Agency, 2025). This infrastructure supports defense critical assets and is actively being targeted by various state-sponsored hacking groups, which poses a major concern for civilians and military alike. K. Herath (personal communication, February 24, 2025) reported being aware of two attacks on Ohio water systems during his tenure as Cybersecurity Strategic Advisor to Ohio Governor Mike DeWine.

Water is essential to everyday life and defense and presents as a high-value …

Network And Multipath Traceroute Visualization, Cameron Makowski

Military Cyber Affairs

TraceCam introduces a new paradigm in network path analysis, leveraging GPU-accelerated WebGL visualization, advanced traceroute integrations, and AI-driven insights to transform complex routing data into actionable intelligence. Early prototypes have demonstrated significant improvements in performance, clarity, and multi-path discovery, overcoming traditional limitations in traceroute analysis. By incorporating retrieval-augmented language models and enriched metadata sources like IPinfo.io, TraceCam enables automated anomaly detection, contextual explanations, and rapid root-cause analysis, enhancing operational efficiency. The platform’s architecture ensures scalability and adaptability, supporting deeper investigations and real-time situational awareness. Future development will focus on clustering-based anomaly detection, expanded geographic visualizations, and enhanced AI-generated analysis to …

Characterizing Cyberattacks Against Operational Technology Infrastructures Through The Lens Of Attack Flows, Sherman Kettner, Caleb Chang, Ekzhin Ear, Shouhuai Xu

Military Cyber Affairs

Operational Technology (OT) infrastructures play a critical role in modern society and economy. However, their increasing connectivity with public networks such as the Internet has made them vulnerable to cyberattacks, much like traditional Information Technology (IT) systems. In particular, cyberattacks against OT infrastructures remain relatively underexplored and little understood. In this paper, we aim to deepen our understanding of cyberattacks against OT infrastructures. For this purpose, we propose a methodology, including novel cybersecurity metrics to analyze the attack flows of these attacks in an end-to-end fashion, which allows us to draw useful insights. We demonstrate the utility of the methodology …

Silicon Sentinels: Using Whistleblower Protections To Manage Information Asymmetry And Ai Risk, Jason Green-Lowe, Fynn Fehrenbach, Mark Reddish

Liberty University Law Review

In the rapidly evolving landscape of artificial intelligence (“AI”) development, policymakers face a critical challenge: obtaining accurate and timely information about the potential risks and impacts of advanced AI systems. This Article examines the pivotal role of whistleblower protections as a mechanism to address the information asymmetry between AI companies and government officials. Employees inside AI companies are uniquely positioned to share information that can help outside regulators make wise policy decisions, but employees might be reluctant to do so unless their decision to share that information is legally protected. We propose a comprehensive framework for AI whistleblower protections as …

Open-Source; Open-Season; Open-Fire: Google V. Oracle And The Vulnerability Of Code To Copyright Infringement By Ai Harvesting, Kent Pederson

Liberty University Law Review

In Google v. Oracle, the Supreme Court was forced to decide if Google’s copying of 11,500 lines of computer code from Oracle without permission constituted copyright infringement. Much was on the line, including precedent concerning the copyright status of millions of lines of code nation-wide. In the lengthy decision, the Supreme Court avoided the central issue of holding whether the copied “declaring code” could be protected by copyright or instead was a functional tool outside of the Copyright Act. Instead, it punted the issue, assuming for the sake of argument that the declaring code that was taken was in …

The Measure Of A Man: Considering Science Fiction And Christianity In The Regulation Of Artificial Intelligence Models, Andrew P. Connors

Liberty University Law Review

Does artificial intelligence “think,” and if it does, what should the law do about it? This article examines popular culture and the Turing Test to assess whether artificial intelligence “thinks,” applying the author’s engineering background and his Christian worldview. The author concludes that artificial intelligence mimics rather than creates and considers the risks and benefits of artificial intelligence given that conclusion. The author suggests that legal regulation should be measured, leaving important decisions to humans while at the same time encouraging development of this important, misunderstood technology.

Successful Primary Coronary Intervention During Prolonged Mechanical Cardiopulmonary Resuscitation For Acute Myocardial Infarction-Related Cardiac Arrest, Sadeq Tabatabai, Mosaad Abushabana, Ahmed Najah, Prasad Padmakar Kulkarni, Jasem Mohammed Alhashmi

Journal of the Saudi Heart Association

We report a case of a male patient with an acute inferior myocardial infarction who underwent successful primary coronary intervention during prolonged cardiac arrest (220 minutes) and continuous resuscitation using a mechanical chest compression device. He achieved full neurological recovery. Mechanical compression devices may help maintain perfusion and improve outcomes in such scenarios.

Full Issue: Volume 6, Issue 2, Editorial Board

Swarthmore Undergraduate History Journal

The second issue in the sixth volume of the Swarthmore Undergraduate History Journal.

Ronald Reagan And The Politics Of Tuition, Alyssa Dunlop

Swarthmore Undergraduate History Journal

This paper explores how Ronald Reagan, as governor of California, justified imposing tuition at the University of California, despite a near one hundred-year tradition of tuition-free education, by connecting tuition to the student protest movement of the 1960s. This paper argues that Reagan made the case for tuition by claiming that tuition would restore law and order on college campuses. Specifically, he contended that tuition would deter rabble-rousing individuals from attending college and improve the moral character of students. Consequently, this argument proved appealing for the majority of Californians, who expressed concern about the student protests, and thus the public …

Stability Analysis And Extension Of A Discrete-Time Dynamical System For Scaffolded Learning, Kris H. Green, Bernard Ricca

Northeast Journal of Complex Systems (NEJCS)

Van Geert and Steenbeek [16] proposed a coupled, delayed, discrete-time deterministic dynamical system to model scaffolded learning. We provide a detailed analysis of their model, whose global dynamics are complicated by the presence of intersecting lines of non-isolated, nonhyperbolic fixed points. We also interpret some of the trajectories in the system that have interesting dynamics in the context of the teacher-student interactions, and propose an extension to the model that simultaneously collapses the lines of fixed points to single, isolated points and is easily interpreted. These results provide the foundation for guiding the collection and integration of experimental data to …

The Evolution Of Global Gold And Copper Trade Networks, Oleksandr Hulianskyi

Northeast Journal of Complex Systems (NEJCS)

Gold and copper have emerged as two of the most vital commodities in global trade. Despite serving distinct purposes, their international trade networks reveal interconnected patterns, critical to understanding the dynamics of global economics. This paper studies these attributes and their evolution during the last 36 years for both metals and finds correlations between them. The first part of the research is focused on the sustainability of networks through efficiency and robustness indexes; the second part is dedicated to interconnectedness – the Louvain and Bayesian SBM algorithms, partition, and modularity instruments are used. Community detection algorithms provide valuable insights into …

Clinical Inferential Process, Bady Quintar, Kayleigh White

Archives of Assessment Psychology

Previous studies related to psychological assessments focused largely on the various psychological assessment instruments used by professional psychologists to evaluate factors including personality functioning, intellectual abilities, attitudes and other behavioral activities. Recently, the seminal contributions of David Rapaport have influenced positively many of his colleagues and immediate followers to consider psychological assessments from a psychodynamic perspective; namely to realize that the examinee’s responses are influenced by the quality of the interpersonal assessment relationship. Consequently, guided by the psychodynamic point of view psychological assessment must be examinee-centered rather than test-centered.

Alternate Form Reliability Of Nine Possible Four-Subtest Combinations Of The Cognitive Proficiency Index For The Wechsler Adult Intelligence Scale-Iv (Wais-Iv) In A Clinical Sample, Joseph J. Ryan, David S. Kreiner, Charles Golden, Gordon Teichner, Samuel T. Gontkovsky

Archives of Assessment Psychology

Performance on the core working memory (Digit Span + Arithmetic) and processing speed (Coding + Symbol Search) subtests of the WAIS-IV is summarized by the Cognitive Proficiency Index (CPI). If a working memory subtest is spoiled, Letter-Number Sequencing is substituted. An invalidated processing speed subtest is replaced by Cancellation. These tasks are supplementary. The core and supplementary subtests yield nine four-subtest composites. Using the standardization sample, Campbell, Rossini, and Johnson (2022) demonstrated that all CPI tetrads had excellent alternate form reliability. In the present study, a clinical sample (n = 90) produced equally high reliabilities. Four of the new …

Macular Thinning And Microvasculature Abnormalities In Children With Sickle Cell Disease: A Longitudinal Analysis, Sally S. Ong, Ann Nampomba, Sara Rahman, Loka Thangamathesvaran, Grace Reilly, Jianqiao Ma, Jay Vaidya, Sophie Lanzkron, Adrienne W. Scott

Cardeza Foundation for Hematologic Research

PURPOSE: To assess longitudinal changes in retinal thickness and vessel density (VD) in pediatric sickle cell disease (SCD).

DESIGN: A prospective cohort study.

PARTICIPANTS: Children (< 18 years old) with HbSS and HbS variant (HbSC and HbS thalassemia) genotypes were enrolled from a university-based retina subspecialty clinic from 2017 to 2019 and followed for ≥2 years.

METHODS: Participants received 3 × 3 and 6 × 6 mm OCT and OCT angiography scans at baseline and at each follow-up visit.

MAIN OUTCOME MEASURES: Retinal thickness, superficial capillary plexus (SCP), and deep capillary plexus (DCP) VD were compared over time.

RESULTS: Children with HbSS (n = 14) and HbS variant (n = 14) genotypes with ≥1 follow-up were included in the study (total 56 eyes). For HbSS, rates of retinal thinning per …

Ayyakkannu Manivannan V. Doe

2025 Decisions

USDC for the Western District of Pennsylvania

Sergei Kovalev V. Walmart Inc

2025 Decisions

USDC for the Eastern District of Pennsylvania

Rolling With The Bss: Standardizing Stool Assessments In Pediatric Care, Herlinda Cardenas Arce, Allison Hoffman, Hannah Holmes, Sierrah Martinez, Cinthya Mondragon

2024

No abstract provided.