Digital Commons Network^™

Ai Supply-Chain Pentesting: Attacking Models Through Training, Updates, And Dependencies (Hacking Ai Without Touching Production Systems.), Pranav Bhatanagar Mr

Defensive Publications Series

As artificial intelligence systems become embedded in critical decision-making workflows, security research has largely focused on defending models at runtime. Attention has centered on prompt injection, inference-time abuse, and output manipulation, implicitly assuming that models arrive in production as trustworthy artifacts. This assumption is increasingly fragile. Modern AI systems are assembled through complex and opaque supply chains involving datasets, pre-trained models, fine-tuning pipelines, dependency ecosystems, and automated update mechanisms. Each stage introduces opportunities for adversarial influence that remain largely unexplored by conventional security testing. This paper examines AI security from a supply-chain perspective, arguing that many impactful compromises occur upstream, …

Ai-Based Pentesting Of Ai Systems Recursive Security Failures, Pranav Bhatanagar Mr

Defensive Publications Series

The rapid adoption of artificial intelligence within cybersecurity has fundamentally altered both defensive and offensive security practices. In recent years, AI driven tools have increasingly been deployed not only to protect systems, but also to test them. Automated scanners, autonomous red teaming agents, and AI assisted penetration testing platforms are now capable of probing complex infrastructures at a speed and scale that far exceed human capability. At the same time, modern production environments themselves are becoming increasingly dependent on AI based components, including adaptive intrusion detection systems, behavioural firewalls, anomaly detection engines, and large language model driven control interfaces. This …

Hallucination-Driven Exploits: Weaponizing Ai False Confidence In Cybersecurity Systems, Pranav Bhatanagar Mr

Defensive Publications Series

Artificial intelligence systems, particularly large language models, are now routinely used in operational cybersecurity environments. They assist analysts with alert triage, incident response, threat intelligence interpretation, and day-to-day decision-making in situations where information is incomplete and time pressure is constant. Much of the existing research on AI security has focused on direct attacks such as prompt injection, jailbreaks, or data poisoning. In contrast, this paper examines a quieter but increasingly consequential risk: the impact of confident hallucinations in security-critical contexts. When AI systems provide incorrect guidance with high confidence, the resulting decisions can materially affect defensive posture even when no …

Dynamic Content Playback Speed Adjustment Based On Content Classification And User History, Pratap Kalenahalli Sudarshan

Defensive Publications Series

Content sharing platforms can provide a playback speed setting that remains static across different types of media. This limitation requires manual adjustment when a user switches between content categories, such as educational tutorials, podcasts, or music. This disclosure provides a mechanism for dynamically adjusting playback speed based on content classification and historical user preferences. Content can be categorized using classification systems and generative summaries to determine its nature and flow. An initial playback speed can be determined by analyzing average speeds for similar content across the content sharing platform. This speed can then be personalized by incorporating the specific user’s …

Synchronous Multi-User Search Sessions With Group-Personalized Results, Paula Marques

Defensive Publications Series

Information retrieval systems designed for individual use may be inefficient for collaborative tasks, potentially requiring participants to search in isolation and manually share findings through disconnected channels, such as email or chat applications. A framework for synchronous, multi-user information retrieval sessions can synchronize participant actions in near real-time across multiple devices (e.g., smartphones, laptops, tablets, wearable devices). The system can allow a user to initiate a shared session and may generate a group-personalized set of results by synthesizing the profiles and contexts of the session participants. The framework may also provide an interactive collaboration layer with tools for shared bookmarking, …

Monetizing Media Inventories Using Multi-Modal Contextual Analysis And Predictive Ad Targeting, Caroline Pieracci, Carlo Bufalini

Defensive Publications Series

Monetizing large media libraries, for example, archived content, may be challenging when targeting methods lack a granular understanding of context within a media asset. A system can employ a contextual intelligence engine to perform a multi-modal analysis of visual, auditory, and textual elements within media content, which can generate a detailed, time-stamped metadata profile for each asset. This structured data may be used for multiple targeting applications, such as linking user intent signals to relevant archived content, identifying trends for ad placements, or predicting potential viewership. This process can facilitate the dynamic creation of contextually relevant advertising opportunities. Such opportunities …

Cybersecurity In Higher Education Institutions: Awareness, Policy, And Experience On Employee Behaviour, Abdullahi Abiodun Yusuf, Adriana A. Steyn

Journal of Cybersecurity Education, Research and Practice

The digital transformation of higher education institutions (HEIs) has introduced unprecedented connectivity and operational efficiency, but it has also heightened their exposure to cyber threats. South African HEIs, in particular, face increasing vulnerability due to their reliance on technology, openness, and diverse user communities. This study examines the influence of the institutional cybersecurity environment on employee cybersecurity-compliant behaviour (CCB), emphasising the critical roles of awareness, policy engagement, and experience. Drawing on Protection Motivation Theory and the Theory of Planned Behaviour, a conceptual model was developed to explore how cybersecurity awareness, policy familiarity, and prior experience shape employees’ attitudes, subjective norms, …

Sjsu Erfa Board Minutes, December 1, 2025, San Jose State University, Emeritus And Retired Faculty Association

SJSU ERFA Minutes

SJSU ERFA Executive Board Minutes

December 1, 2025

Leadership Strategies To Promote Employee Engagement In Therapeutic Agencies, Paris Sim'mone Lewis

Walden Dissertations and Doctoral Studies

This study investigates the persistent decline in employee engagement among behavioral health clinicians working within community-based therapeutic agencies, focusing specifically on Behavioral Health Organization A (BHOA). The purpose of this qualitative study is to explore how leadership style, communication practices, and organizational structure affect clinician engagement at BHOA. Grounded in the Baldridge Performance Excellence Framework and supported by transformational leadership theory, the study examines how leadership behaviors and communication pipelines shape motivation, burnout, and workforce alignment. Semi-structured interviews with organizational leaders, secondary data, and internal documents were collected and analyzed using Braun and Clarke’s thematic analysis approach. Themes revealed communication …

Clinical Practice Guideline For Structured Communication In A Pediatric Outpatient Psychiatry, Stella Uzoamaka Ihesiaba

Walden Dissertations and Doctoral Studies

This doctoral project focused on developing and evaluating a clinical practice guideline (CPG) to address the lack of standardized interdisciplinary communication between psychologists and psychiatric mental health nurse practitioners (PMHNPs) in a pediatric outpatient psychiatric setting. Inconsistent communication practices, including informal conversations, delayed documentation, and unstructured messaging, contributed to fragmented care and inefficient treatment coordination. To address this gap, an evidence-based, structured communication framework was developed to guide interdisciplinary collaboration. The guideline was developed using the Johns Hopkins Evidence-Based Practice model and supported by a review of 14 evidence sources spanning Levels I to V of the literature. A four-member …

Emotion Regulation And Stress In Adult Learning Through Social Media Platforms, Jennifer Irocky

Walden Dissertations and Doctoral Studies

Social media platforms have become significant contexts for informal learning among adults, offering access to information and peer exchange outside of formal educational settings. These platforms are also emotionally complex environments in which stress and emotion regulation may shape learning outcomes. The purpose of this quantitative, nonexperimental study was to examine the relationship between social media use and informal learning in adults, with perceived stress and emotion regulation examined as moderating variables. Secondary data from the Stress in America: The State of Our Nation, 2007–2018 surveys were analyzed, using binary logistic regression with moderation while controlling for age, gender, and …

The Rider (2026-02-09), Daniela Chapa-Reyes

The Rider Archives

Vol. 11, No. 18

Motivating Passion And Purpose In Grade Six Students Through Game-Based Learning, Violet H. Harada, Patricia Louis

Learning Hub

This article examines how a sixth-grade pathways course at Kamehameha Schools in Hawai‘i leveraged Game-Based Learning (GBL) and Indigenous knowledge to foster student agency, creativity, and environmental stewardship. Designed and taught by school librarian Patricia Louis with support from a multidisciplinary instructional team, the Nā Lawai‘a Hawai‘i (Fishing, Hawaiian Style) elective engaged students in researching the ‘Ama‘ama (Hawaiian striped mullet) and the ecological challenges it faces, then translating their learning into the design of a board game, ‘Ama‘ama Escape. Grounded in constructivist, learning-by-making principles, the course guided students through an iterative design process that included inquiry, collaboration, prototyping, and playtesting. …

Can Palm Logs Float? Evaluating The Physical Viability Of Raft Transport For Rapa Nui Moai, Carl Philipp Lipo, Terry L. Hunt

Anthropology Datasets

Recent suggestions that palm log rafts may have transported moai statues on Rapa Nui require evaluation of whether fresh palm wood can provide sufficient buoyancy for multi-ton cargo. This analysis integrates experimental flotation tests, structural analyses of palm stem anatomy, and buoyancy calculations using modern palm analogs to reconstruct the extinct Rapa Nui palm. Fresh palm logs sink when placed in water because of their internal structure: stems consist of approximately 20% liquid by volume, contained within thousands of water-filled vascular tubes, surrounded by a thin, brittle cortex. This yields effective densities of 800-1,200 kg/m³ that approach or exceed seawater …

How Principals Who Use Artificial Intelligence For Innovation Create Cognitive Equity While Principals Who Use Ai For Efficiency Create Cognitive Debt, Jethro Jones

Dissertations

This dissertation in practice examined whether a targeted professional learning   intervention could shift school leaders’ use of generative artificial intelligence (AI) from efficiency-oriented tasks toward innovation-oriented strategic problem solving. AI is typically adopted to accelerate existing routines, which can deepen “cognitive debt” by reinforcing ineffective practices rather than improving systems. This study advanced a “cognitive equity” frame, positioning AI as a tool that can expand principals’ cognitive capacity to address complex problems and lead adaptive change. Using a quasi-experimental, single-group design, the study evaluated a free, full-day AI for Innovation workshop, which emphasized foundational understanding of how AI tools work …

Introducing Safe-Ai: A Behavioral Framework For Managing Ethical Dilemmas In Ai-Driven Human Resource Practices, Rob E. Carpenter, Debaro Huyler, Sanket Patole, Rochell Mcwhorter

Human Resource Development Faculty Publications and Presentations

Organizations increasingly deploy artificial intelligence (AI) in human resource (HR) decision processes to improve efficiency and strategic execution, yet ethical failures persist when principles remain decoupled from everyday workflow enactment. This paper addresses AI-ethics in HR practice by advancing a behavior-first premise: AI-ethics becomes durable organizational practice only when ethical intent is translated into observable routines and cues that employees can interpret as legitimate and consistently enforced. We introduce the Socially Aware Framework for Ethical AI (SAFE-AI), which integrates normative ethical reasoning (consequentialist and deontological logics), social information processing, and socially informed heuristics as a practical translation layer for HR …

Accuracy Improvements For Electroencephalography (Eeg) Eye State Classification Using Extreme Gradient Boosting And Cluster Ensembles, Hossein Ahmadi, Mehrbakhsh Nilashi, Abdullah Alghamdi, Rabab Ali Abumalloh, Mesfer Alrizq, Sultan Alyami, Waleed Abdu Zogaan, Fatima Khan Nayer

School of Nursing and Midwifery

Electroencephalography (EEG) eye state classification is crucial as it enables noninvasive monitoring and identification of different eye states. This importance has been underscored in studies exploring the use of machine learning techniques for accurate classification. Previous research has primarily applied supervised learning methods to EEG signal analysis for eye state classification using real-world datasets, focusing on improving accuracy through novel algorithms. Achieving high classification accuracy remains a key objective in EEG signal analysis. This study introduces a hybrid method designed to handle multivariate signals and nonlinearity. By integrating both supervised and unsupervised learning, the proposed approach aims to achieve high …

Board Of Directors Meeting Minutes (February 9, 2026), Dmacc

Board of Directors Meeting Minutes

This file contains the minutes from the Des Moines Area Community College Board meeting held on February 9, 2026.

Explore Uncharted Ideas With Tedx University Of Mississippi, Staff Report

University of Mississippi News

OXFORD, Miss. – With topics ranging from groundbreaking science to frontier education, TEDx University of Mississippi invites the community to "Uncharted," a TED-licensed event with seven thought-provoking speakers set for 7 p.m. Feb. 20 in the Gertrude C. Ford Center for the Performing Arts.

Hampton’S Legacies Across Black And Indigenous Education: Subhumanity, Genocide And Self-Determination Of The Past And Present, Arcasia D. James-Gallaway, M. Nathan Tanner, Francena F.L. Turner

College of Humanities and Social Sciences

How are Black and Indigenous education in the US related? How are antiBlackness and settler colonialism interconnected? This essay addresses these questions, reexamining the history of one of the only US schools to educate both groups: Hampton Normal and Agricultural Institute. To explore the contemporary legacies of Hampton, we bring together a race-centered historical methodology and Black and Indigenous studies perspectives. We argue that three enduring legacies – subhumanity, genocide and self-determination – with roots in the school itself frame the present, collective struggle for Black and Indigenous justice in education. This focus provides both historical and current insights with …

Cationic Poly(Glucosamine)-Based Polymers Bind To Glycans With Varying Affinity Facilitating Transport Across The Glycocalyx Of Endothelial Cells, Claire Bridges, Lu Fu, Dan Wang, James D. Sterling, Susanna Liang, Shenda M. Baker, Jonathan Yeow, Megan S. Lord

Business and Information Technology Faculty Research & Creative Works

Natural polysaccharides, such as chitosan, offer promising avenues for drug delivery due to their cytocompatibility and ability to interact with cell surfaces. However, the endothelial glycocalyx, a glycan-rich extracellular matrix, presents a barrier that must be navigated for effective intracellular delivery. This study investigates how cationic poly(glucosamine)-based polymers, functionalized with guanidinium or ammonium groups, interact with key glycocalyx components including hyaluronan (HA) and heparan sulfate (HS). We demonstrate that these cationic polymers form tunable biomolecular condensates with glycans, with stronger binding observed for sulfated glycans, HS and heparin, than unsulfated HA. Derivatized chitosan polymers with varied cationic side chains exhibit …

Fear From Eating Outside? Assessing The Impact Of Covid-19 Pandemic On Consumer’S Willingness To Utilize Catering Services In China, Yunwei Li, Qiuping Ji, Vivian Valdmanis, Jingqi Li, Guanrou Deng, Rui Guo, Yu Hao, Zhi-Nan Lu

Bulletin of Monetary Economics and Banking

Since the onset of economic reforms, the catering industry has been playing a crucial role in China’s economic development. However, due to the outbreak of the COVID-19 pandemic, the Chinese government has implemented strict pandemic prevention policies such as (home quarantine and suspending work and production facilities) leading to losses for a variety of industries, especially catering industry. As the main driving force on the demand side, residents’ willingness to pay for catering can play an important role in the post-pandemic economic recovery. In this study, we employ primary data of 1,072 respondents from an online survey to investigate the …

Design And Economic Assessment Of A Sustainable Standalone Photovoltaic System For Hospital Lift Applications, Tasneem M. Abed, Saad S. Eskander, Mohamed A. Elsayes, Mohamed Zaki

Mansoura Engineering Journal

This study presents an optimized design and operation strategy for a stand-alone solar photovoltaic power system to drive a 4.5 kW elevator at Mansoura University Hospital, Egypt. The research aims to reduce the battery bank capacity and overall system cost while maximizing the utilization of solar panels. A novel "Optimum Operator System" is proposed, incorporating three power switches controlled by an Arduino microcontroller. The system's performance is analyzed through extensive modeling, simulation, and experimental validation. Results show a significant reduction in battery bank capacity, with 7 fewer 100 Ah batteries required compared to conventional systems. The proposed method significantly enhances …

Lanthorn, Vol. 60, No. 11, February 9, 2026, Grand Valley State University

Volume 60, August 4, 2025 – April 20, 2026

Lanthorn is Grand Valley State's student newspaper, published from 1968 to the present.

Generalization Under Sub-Population Shift: Equitable Models For Imbalanced, Long-Tailed, And Fair Representation Learni, Faizanuddin Ansari

Doctoral Theses

Machine learning systems often experience performance degradation in real-world scenarios due to subpopulation shift defined as mismatches in the distribution of classes or attributes within datasets. This thesis investigates generalization failures arising from class imbalance, long-tailed distributions, and attribute-level biases (specifically, attribute-level biases that originate from demographic imbalances in sensitive domains, such as medical imaging). It proposes principled strategies to mitigate these effects in both classical and deep learning frameworks. Class imbalance and long-tailed distributions pose significant challenges, especially in real-world applications where minority classes are underrepresented yet critically important. To address these challenges, this work develops novel algorithms and …

Striation Characteristics In Atmospheric Pressure Ac-Driven Glow Discharge Operating In Monoatomic Gas, Ayuob K. Alwahaibi, Sang Hee Won, Tanvir Farouk

Faculty Publications

Striation in an atmospheric pressure AC-driven helium glow discharge operating at 25 kHz is experimentally characterized. Striation behavior is characterized by the visualization of discharges and voltage–current measurements over a range of plasma power. Voltage–current characteris tics reveal that striations form in the “normal” glow regime of operation, with a higher number of strata at low current, diminishing as dis charge current increases. The relative differences and similarities in the striation patterns during the positive and negative cycles are identified. High-speed imaging shows the striations to be traveling in time—“moving striations.” The spatial luminosity of the striations is tracked over …

High-Throughput Multi-Organ Proteomics Workflow For Drug Efficacy And Toxicity Analysis, Yun Xiong, Lin Tan, Wai-Kin Chan, Dandan Zhu, Huimin Zhang, Eric S Yin, Sri Ramya Donepudi, Jibin Ding, Bo Wei, Bao Tran, Sara Martinez, Iqbal Mahmud, Faiza Hanif Waghu, Hamish I Stewart, Daniel J Hermanson, Rehan Akbani, John N Weinstein, Junjie Chen, Philip L Lorenzi

Faculty, Staff and Student Publications

Rapid and comprehensive analysis of complex proteomes across large sample sets is vital for unlocking the potential of systems biology. We present a high-throughput mass spectrometry (MS) proteomics method that integrates narrow-window data-independent acquisition (nDIA) with short-gradient micro-flow chromatography, enabling profiling of >240 samples per day. This optimized MS approach identifies 6,201 and 7,466 human proteins with 1- and 2-min gradients, respectively. As a practical application, we analyzed 507 samples composed of 13 different tissues from mice treated with the enzyme-drug L-asparaginase (ASNase) or its glutaminase-free Q59L mutant, generating a quantitative profile of 11,472 proteins following drug treatment. The MS …

Equal Chances Or Fewer Victims? Moral Judgments In Autonomous Vehicle Dilemmas, Alexander Matros, Eren Bilen, Leonid Matros

Faculty Publications

We examine the moral dilemma of how autonomous vehicles (AVs) should be programmed to act in unavoidable crash scenarios involving trade-offs between saving one life and saving many. We report results from three experimental studies that investigate individuals’ preferences over alternative AV decision rules in stylized crash scenarios. Across designs, we find robust support for a probabilistic decision rule that assigns passengers and pedestrians equal ex ante chances of survival (a 50:50 rule). This preference persists across different framings and remains salient even when additional probabilistic options are introduced.

Ex Vivo Microfluidic Model Identifies A Role For Shear Stress During Ovarian Tumor Cell Attachment To Peritoneal Mesothelial Cells, Vasilios A Morikis, Breanna Baker, Jillian A Martin, Angela Schab, Alessandra Dimauro, Gregory D Longmore, Whitney R Grither

2020-Current year OA Pubs

Ascites, or a pathologic accumulation of intra-abdominal fluid, is a key feature of intraperitoneally disseminating cancers, such as ovarian cancer. This pathological fluid buildup can influence the adhesive abilities of ovarian cancer cells, as they spread throughout the abdominal cavity to form metastatic implants on organs lined with a specialized monolayer of mesothelial cells. Robust methods for assessing the impact of fluid shear stress on this cell-cell interaction are lacking. Here, we develop and characterize a novel microfluidic device that allows for the determination of the attachment of ovarian tumor cells to mesothelial cells under the influence of fluid flow. …

Brief Of Amicus Curiae Contract Law Scholar Gregory Klass In Support Of Plaintiffs-Appellees, Climate United Fund V. Citibank, N.A., No. 25-5122 (D.C. Cir. Feb. 9, 2026)., Gregory Klass

Georgetown Law Faculty Publications and Other Works

In early 2025, the EPA sought to freeze grant funds that had been distributed from the Greenhouse Gas Reduction fund and then sent recipients notices purporting to terminate awards. Recipients sued in District C out, claiming that the EPA’s actions failed to comply with the APA, the US Constitution, and other generally applicable laws. In response, the government argued that the plaintiffs’ claims were contractual in nature and so, under the Tucker Act, belonged in the Court of Federal Claims.

This amicus brief to the DC Court of Appeals sitting en banc addresses the government’s argument that reinstating the grants …