Digital Commons Network^™

Autobackdoor: Automating Backdoor Attacks Via Llm Agents, Yige Li, Zhe Li, Wei Zhao, Nay Myat Min, Hanxun Huang, Xingjun Ma, Jun Sun

Research Collection School Of Computing and Information Systems

Backdoor attacks pose a serious threat to the secure deployment of large language models (LLMs), enabling adversaries to implant hidden behaviors triggered by specific inputs. However, existing methods often rely on manually crafted triggers and static data pipelines, which are rigid, labor-intensive, and inadequate for systematically evaluating modern defense robustness. As AI agents become increasingly capable, there is a growing need for more rigorous, diverse, and scalable \textit{red-teaming frameworks} that can realistically simulate backdoor threats and assess model resilience under adversarial conditions. In this work, we introduce \textsc{AutoBackdoor}, a general framework for automating backdoor injection, encompassing trigger generation, poisoned data …

Predictive Frax Score Value Of Dexa System Among Patients Screened For Osteoporosis In Al -Hilla City, Najlaa Mohammed

Iraqi Postgraduate Medical Journal

BACKGROUND:Osteoporosis is a disease which makes bones weak and fragile. This greatly increases the risk of breaking a bone Even after a minor fall or bump. The disease has no obvious symptoms, so many people don’t know they have osteoporosis until they suffer a fracture. Fractures can be life-altering, causing pain, disability and loss ofindependence. That’s why it’s important to prevent osteoporosis.OBJECTIVE:The aim of this study was to evaluate the fracture risk predictions based on calculations prepared with bone mineral density (BMD) values using the Fracture Risk Assessment Tool (FRAX®). PATIENTS AND METHOD:This descriptive, cross-sectional study included male and female …

Literary Colonization And Locating Avenues Of Subversion In Bobby Flores-Villasis' Suite Bergamasque, Michael Aaron C. Gomez

Akda: The Asian Journal of Literature, Culture, Performance

This paper examines four short stories included in the collection titled Suite Bergamasque, written by multi-awarded Negrense playwright and fictionist Bobby Flores-Villasis. A materialist reading situates Villasis within the canon of Philippine literature in English and analyzes the way his stories formally render the class antagonisms of history through the interconnected narratives of Dumaguete City’s sugar elite. Finally, this paper also contends that the political imagination of Villasis’ work exhorts contemporary Dumaguete writers to critically examine inherited hagiographies in order to describe fully the conditions that have shaped the city into its contemporary formation, particularly the phenomena of gentrification …

Cavitation-Aware Design Of Hydrofoil Sections For Marine Propeller Blade Development, Samuel G. Bacon

Mechanical & Aerospace Engineering Theses & Dissertations

Cavitation is a major design constraint for marine propeller blade sections because it can reduce hydrodynamic performance, increase vibration and noise, and contribute to surface damage. This thesis develops and applies an exploratory computational framework for cavitation-aware hydrofoil-section design relevant to marine propeller blade development. The framework combines section-level CFD validation, CST-based geometry parameterization, pressure-based pre-screening, matched-load comparison, and focused predicted inception envelope or cavitation-bucket analysis.

The CFD methodology was validated against published YS-920 hydrofoil water-tunnel data using selected fully wetted, near-inception, and cavitating reference cases. The validation results showed that the adopted framework reproduced the key experimental trends needed …

Empowering Change: Building Environmental Sustainability Initiatives And Becoming A Sustainability Champion, Amanda C. Karls

School of Public Service Theses & Dissertations

In an era marked by escalating environmental challenges and an urgent need for sustainable development, higher education institutions (HEIs) are increasingly positioned as critical actors in advancing sustainability within the communities they serve. Regional comprehensive universities (RCUs), in particular, occupy a distinctive position as access‑oriented, community‑embedded public institutions; yet sustainability efforts at these institutions often unfold under conditions of limited resources, diffuse responsibility, and informal governance. This dissertation examines how individual actors at RCUs effectively advance environmental sustainability initiatives in the absence of centralized infrastructure or formal authority.

Guided by the overarching research question—How can individual actors at regional comprehensive …

Ultra-High Vacuum Outgassing Characterization Of Thermally Processed Low-Carbon Steel For Advanced Particle Accelerator And Gravitational Wave Detector Applications, Aiman H. Al-Allaq

Mechanical & Aerospace Engineering Theses & Dissertations

This dissertation investigated AISI 1020 low-carbon steel as an alternative vacuum chamber material to conventional stainless steel for ultra-high vacuum (UHV) and extreme-high vacuum (XHV) applications. After a 400 °C/48 h bake, AISI 1020 tube chambers achieved a hydrogen outgassing rate of 2.4 × 10⁻¹⁶ Torr·L·s⁻¹·cm⁻², approximately 2,300 times lower than the prebaked 316L stainless-steel comparator, among the lowest hydrogen outgassing rates ever reported for an uncoated metallic vacuum chamber. Bare and magnetite-coated AISI 1020 chambers were then compared using throughput and rate-of-rise methods. The magnetite coating yielded 5× lower water outgassing at room temperature, but this advantage disappeared after …

Artificial Intelligence For Better Inclusive Higher Education: A Study Of A Private University In Cairo, Shereen Ismail

Theses and Dissertations

This study explores how artificial intelligence (AI) tools relate to accessibility for visually impaired students in Egyptian higher education, focusing on University Y in Cairo. Grounded in the Social Model of Disability and Universal Design for Learning, it examines visually impaired students’ lived experiences of AI mediated access and the institutional conditions that shape these experiences. A qualitative phenomenological design was used, with semi-structured interviews conducted with visually impaired undergraduate students and key staff involved in assistive technology, teaching and learning, and student wellbeing; data were analyzed thematically. The findings indicate that participants experience AI tools (e.g., chatbots, transcription and …

Library 5.0 And Predictive Intelligence: A Conceptual Literature Review, Shrikant Ramteke

Library Philosophy and Practice (e-journal)

Abstract

Purpose In this paper, the author will explore the nature of predictive intelligence developed in modern libraries as part of the overall progression of libraries toward Library 5.0. It aims to give a conceptual clarity of what predictive services are, how they have been influenced by technology and ethics, and how they fit into existing traditions of librarianship.

Design/methodology/approach This paper utilizes a qualitative, conceptual literature review method as a scholarly inquiry. Approximately 60 peer-reviewed journal articles and institutional reports published after 2018 and before 2025 were purposively sampled from leading databases in library and information science and information …

Artificial Intelligence And Chatgpt In Libraries: A Bibliometric Analysis Of Social Science Research (2022–2026), Shrikant W. Ramteke, Yogesh B. Daphal

Library Philosophy and Practice (e-journal)

Purpose

This paper will map the world of research on artificial intelligence and chatbots in libraries systematically by analysing the trends in publications, intellectual organization, pattern of collaboration, and the way the Social Science literature has evolved with the theme of artificial intelligence and chatbots published between 2022 and 2026.

Design/methodology/approach

We have conducted a thorough bibliometric search where we have considered 7,660 peer-reviewed journal articles found in Scopus database. The collection was compiled according to the PRISMA requirements, and later, both performance-based metrics and science mapping techniques were applied.The whole process of visualisation and analysis was carried out through …

Geography And Environmental Studies Apr 2025 Self-Study Report & Documents, Unm Academic Program Review

UNM Academic Program Review

NM Geography and Environmental Studies APR self-study report, review team report, response report, and initial action plan for AY2025, fulfilling requirements of the Higher Learning Commission.

Dean's Update, April 2026, Neil W. Schluger

SOM Dean's Research Newsletter

No abstract provided.

A Patient-Centric Chatbot For Improving Clinical Trial Accessibility, Yumeng Yang

Dissertations and Theses (Open Access)

Clinical trial enrollment remains a major challenge, and low accrual continues to delay study completion, increase research costs, and slow the development of new therapies. A barrier is the scale of the trial-matching problem: patients and clinicians must search through a large and growing number of studies, while each trial contains complex eligibility criteria that may overlap only partially with other trials. Although public registries such as ClinicalTrials.gov make trial information available, they do not adequately help patients identify which studies are most relevant to their clinical profile. This dissertation addresses that information problem by developing and evaluating a patient-centric …

Graph And Language Models For Biomedical Inference Across Networks And Text, Evan Yu

Dissertations and Theses (Open Access)

Biomedical research increasingly relies on large and heterogeneous data sources to support scientific inference. However, relevant evidence is often distributed across environments that differ substantially in structure, reliability, and scale. Biomedical evidence may be represented in relational networks that encode interactions among entities and in large-scale text corpora that contain unstructured knowledge and discourse. Developing computational approaches capable of extracting reliable and interpretable signals from these diverse data environments remains a central challenge. This dissertation investigates how graph and language models can support robust biomedical inference across three evidence environments: relational epidemiologic networks, large-scale social media discourse, and biomedical scientific …

Selective Flexibility: The Hidden Evolution Of Startup Corporate Law, Alvaro Pereira

Cardozo Law Review

This Article challenges the longstanding assumption that corporate law is largely irrelevant to non-listed companies and venture capital ( “VC”). Through a novel cross-country legal index covering twenty years and twelve jurisdictions, this Article shows that corporate laws have evolved through a process of “selective flexibility,” where certain legal barriers to VC deals are lifted, while others are stealthily preserved. For example, numerous reforms have enabled multiple-vote shares, but few have authorized the customization of board powers, limiting the universe of founder-investor agreements—and, ultimately, the development of startup ecosystems and VC markets.

Drawing on a comprehensive dataset of billion -dollar …

See These Great Speakers And Their Programs At Annual Session!, David Foe

The Journal of the Michigan Dental Association

This feature highlights the speaker lineup and curriculum for the 2026 MDA Annual Session in Grand Rapids. The program offers diverse continuing education tracks for the entire dental team, including pediatric dentistry, oral pathology, risk management, and practice growth strategies. Notable speakers include clinical experts, legal professionals, and motivational keynotes. The document also explains the transition to a simplified registration system using one-day or full conference passes, allowing attendees more flexibility to choose sessions on-site without pre-registering for individual courses.

M-Scor Uas: Characterizing Cartel Drone Supply Chains, Austin C. Doctor, Joel Elson, George Grispos, Suat Cubukcu, Reece Kelly, Tyler Mccoid, Lauren Bertelsen

Reports, Projects, and Research

In 2025, the U.S. Government designated six Mexico-based cartels as foreign terrorist organizations and specially designated global terrorists. Cartel-associated drone encounters at the Southern border have grown sharply in frequency and sophistication, while in the Mexican interior a growing number of cartels are weaponizing drones against rivals, civilians, and security forces. U.S. defense and law enforcement leaders have linked these platforms to reconnaissance, smuggling, and kinetic operations that may threaten U.S. personnel, communities, and critical infrastructure. Addressing this trend requires expanding beyond tactical counter-UAS responses (detect and defeat) toward upstream interventions that characterize and disrupt the supply chains producing operational …

Building Argumentative Writing Skills In An Adult Esl Classroom, Cristina Lighthiser

School of Education and Leadership Student Capstone Projects

This capstone project addressed the challenge that adult English Language Learners (ELLs) faced in meeting the complex demands of argumentative writing in academic and professional settings, and was guided by the question, How can the design of an adult ESL curriculum support students in developing argumentative writing through scaffolded lessons on hortatory exposition? This research sought to address a gap in instructional supports for adult ESL students as they developed persuasive writing skills. The curriculum design explicitly focused on language features essential to hortatory exposition. The resulting unit was a six-lesson, twelve-hour curriculum for intermediate adult ESL students at a …

Evolving Approaches To Teaching Secondary English Language Arts In The Age Of Artificial Intelligence, Timothy Crepeau

School of Education and Leadership Student Capstone Projects

Centered on the question of how to foster academic integrity while maintaining accountability for AI-assisted plagiarism in secondary English language arts (ELA) education, this project responds to the growing reality that students can outsource core cognitive tasks—reading, analysis, and writing—to AI tools. Informed by key influences from neuroscience and educational research, particularly studies on neural plasticity, the reading brain, and cognitive offloading, the project draws on scholarship by Collins, Wolf, and contemporary AI-in-education theorists. These influences underscore the central premise that meaningful learning is not merely demonstrated through output, but developed through the neurological processes activated by sustained cognitive effort. …

Practices That Improve Critical Thinking Development In Secondary Classrooms, Brian Mueggenberg

School of Education and Leadership Student Capstone Projects

This capstone examines how mathematics teachers can more intentionally develop students’ critical thinking skills through classroom instruction and how professional development can support that practice. The guiding question for the project was: How can secondary mathematics teachers intentionally design and implement instructional strategies that promote students’ critical thinking within the constraints of classroom instruction? A review of educational research identified a recurring problem with traditional instructional practices: direct instruction effectively supports procedural fluency, but often provides limited opportunities to develop higher-order thinking and conceptual fluency. Key influences on this project included research on thinking classrooms, productive struggle, and dialogic teaching. …

The Causes, Effects Of, And Solutions To A Nation-Wide Reading Comprehension Decline And Answers To The Question Of What Can Teachers Do About It?, Otto Harris

School of Education and Leadership Student Capstone Projects

The purpose of this project was to research the causes and effects of the reading comprehension decline in America. The research question: What is causing this decline, and how can we combat it? stemmed from personal interest in this topic and its relevancy in the school district I taught in. Research into this topic revealed factors such as texts lacking relevance to student lives, inaccurate comprehension measurement tools being used year after year, and the lifelong effects of lowered reading comprehension on adults’ lives after high school. In response to this need, a capstone project was developed that would provide …

The Impact Of Growth Mindset On Student Confidence And Performance In Mathematics, Micaela Büching

School of Education and Leadership Student Capstone Projects

Many educators frequently hear their students claim they are simply not a “math person.” This common phrase reflects a fixed mindset that can strongly impact a student's academic journey. This capstone project addresses the research question: In what ways does a growth mindset framework impact student confidence, effort, and academic performance in mathematics? A comprehensive literature review revealed that while growth mindset is a powerful tool for equity, successful implementation requires a shift in teacher beliefs and the integration of growth-oriented pedagogical strategies into daily classroom practice. In response, a three-part professional development series was designed for K–5 educators, focusing …

Preoperative Imaging For Cochlear Implantation: A Global Consensus, Farid Alzhrani, Craig Buchman, Et Al.

2020-Current year OA Pubs

OBJECTIVE: Preoperative imaging is vital for cochlear implant surgeries, aiding diagnosis, and surgical planning. This study evaluated global practices and the value of preoperative imaging through an international survey.

METHODS: A cross-sectional survey was conducted among international cochlear implantation experts using a 112-item questionnaire. The study explored imaging modalities, anatomical targets, evaluated parameters, and different imaging approaches' perceived value and risks. Participants were recruited from a global consortium of otolaryngology, otology, neurotology, and cochlear implant surgery professionals.

RESULTS: Thirty-nine practitioners from 36 centers in 16 countries completed the survey (95.1% response rate). All used computed tomography (CT) and magnetic resonance …

Deep Learning In Fetal, Infant, And Toddler Neuroimaging Research, Jenna H Chin, Madeleine K Wyburd, Vladislav Ayzenberg, Laurie Bayet, Berkin Bilgic, Emily M Chen, Yuting Chen, Áine Dineen, Shohei Fujita, Janelle Liu, Yohan Jun, M Catalina Camacho, Lilla Zöllei

2020-Current year OA Pubs

Artificial intelligence (AI) is increasingly being integrated into everyday tasks and work environments. However, its adoption in medical image analysis has progressed more slowly due to high clinical stakes, limited availability of labeled data, and substantial variability in imaging protocols and population. These challenges are further pronounced in the field of fetal, infant, and toddler (FIT) neuroimaging, where datasets are especially scarce and subject to large amounts of anatomical variability. However, deep learning (DL), a specific method within machine learning, which is itself a subfield of AI, has emerged as a powerful framework to adapt to the challenges of medical …

Investigating Social Justice Implications Of Glyphosate Residues In Human Urine, Ananya Malhotra

Electronic Theses, Projects, and Dissertations

Background: Glyphosate, the nominal active ingredient in professional-grade Roundup weed and grass killer, is the most extensively used herbicide globally and in the United States (U.S. Environmental Protection Agency, 2020). An increasing level of concern has surfaced regarding its health consequences, particularly because of contamination of our food supplies. Recent research indicates distressing levels of detection of glyphosate in human blood and urine samples, revealing many instances of frequent human exposure (Conrad et al., 2017; Zhang et al., 2020).Most of the research about exposure is focused on agricultural workers or individuals living in close vicinity to agricultural lands.  Few …

A "Net Metering" Approach To Energize Journalism Powered By Accessible Government Records, Frank D. Lamonte

University of Richmond Law Review

Government records are fuel for the engine of investigative reporting. Using documents obtained through freedom-of-information requests, journalists regularly expose waste, mismanagement, and corruption across every level of government, from Cabinet-level federal agencies to the tiniest local police department. The Supreme Court of the United States has recognized the foundational role of accessible government documents “to ensure an informed citizenry, vital to the functioning of a democratic society, needed to check against corruption and to hold the governors accountable to the governed.” But records are notoriously challenging to obtain. Government agencies take advantage of every available loophole—and lobby legislators to create …

Birthdate Phaseout To A Nicotine Free Generation, Katharine Silbaugh

University of Richmond Law Review

This Article explores the Nicotine Free Generation (“NFG”) policy, an emerging endgame strategy for tobacco products that employs a completely novel legal design. Tobacco remains the leading cause of preventable death, killing almost half of its users and imposing $600 billion in social costs each year. We see two basic choices for regulating sales: prohibition or a legal age-gate, such as twenty-one, for retail sales. NFG charts a third way. Recognizing the dire harm of tobacco and the serious consequences of abrupt prohibition, NFG lays the groundwork for a gradual transition to a sales sunset. In place of the twenty-one …

Ex Post Transparency: Shattering The One-Way Mirror, Ruifeng Song

University of Richmond Law Review

The digital world is becoming a one-way mirror: tech companies gain unprecedented knowledge of individuals who remain ignorant of how companies handle their data. Tech giants have been able to discreetly train their artificial intelligence models on vast troves of personal data, raising privacy concerns. This shows that we have yet to fully learn the lessons of the Cambridge Analytica scandal, where the infamous company misused the personal data of millions of people until the misdeeds were revealed by whistleblowers. A largely overlooked aspect of the scandal is that the law failed to enable timely detection of anomalies because data …

Sustainable Finance: An Analysis Of Climate-Resilient Infrastructure Investments, Ngan Trat

Honors Theses

Changes in climate conditions are reshaping our environments and impacting ecosystems. A product of these changes is worsening climate events, and for Mississippi, that means increasingly frequent, high-intensity storms and floods. Its immediate and residual effects can range from disruptive to destructive. Mississippi and its communities are highly vulnerable to the effects of intense natural disasters, and there is a discrepancy between the need for climate-resilient infrastructure investments and the state’s fiscal capabilities to finance the research and construction of such projects. This paper will evaluate existing cases of climate-resilient infrastructure in effect through a sustainable finance lens and identify …

Digital Preservation Policies In University Libraries: A Content Analysis, Ramsey Mcmanus

Honors Theses

In an increasingly digital world, libraries continue to expand their digital collections. As these collections grow, librarians must work to ensure that these digital materials remain accessible over time. Having clearly articulated digital preservation policies helps libraries define their preservation commitments and establish guidelines for preservation actions. This study examines how university libraries approach digital preservation through their policies, focusing on those that are publicly available and accessible online. The content of these policies is evaluated against commonly recognized elements of digital preservation planning, including preservation scope, metadata practices, integrity checking, storage redundancy, and format migration. These criteria are derived …

Evaluating Predictive Structure In Penny Stocks Using Machine Learning And Statistical Methods, Susom Hait

Honors Theses

Market prediction attempts have primarily focused on large-cap stocks due to their stability and market consistency. As such, studies that use time-series techniques to predict large-cap stocks have produced consistent results. Despite the success of large-cap predictions, penny stocks have remained unexplored in modern academia due to their high volatility, low liquidity, and structural instability. Regardless, unexplored market potential and technological advancements underscore the need for preliminary research into penny stock forecasting. This study aims to determine whether meaningful predictive structures exist in time-series penny stock data. This study utilizes an incremental approach. Various penny stocks were selected, pooled, and …