Digital Commons Network^™

Towards Efficient Privacy-Preserving Deep Learning: He-Friendly Structures, Flexible Pruning, He-Efficient Architectures, And Secure Transformer Token Drop, Yifei Cai

Electrical & Computer Engineering Theses & Dissertations

Deep learning (DL) has become a powerful tool for solving complex problems, but developing DL models typically requires vast datasets, high computational resources, and expert knowledge—barriers that limit accessibility. Machine Learning as a Service (MLaaS) addresses this challenge by allowing resource-rich providers to deliver pre-trained DL models as services. However, privacy concerns arise: clients hesitate to share sensitive data, while providers protect their proprietary models. To address this, privacy-preserving MLaaS integrates cryptographic techniques into DL computations, as seen in frameworks like Cryptonets, SecureML, GAZELLE, CrypTFlow2, Cheetah, and BOLT. Among them, Homomorphic Encryption (HE) enables computation on encrypted data but remains …

A Descriptive Bibliometric Study Of Cera Publication Dissemination, Authorship, And Citation Rates., Bryce A Ringwald, Jennifer L Middleton

Medical Education Articles

BACKGROUND AND OBJECTIVES: Barriers to performing family medicine research include funding, infrastructure, and mentorship shortages. The Council of Academic Family Medicine Educational Research Alliance (CERA) was created in 2011 to address these issues. This study explores the scope and impact of CERA-related publications in family medicine.

METHODS: We performed a descriptive bibliometric study of CERA-related publications from 2011 to 2023. Articles were sourced from Medline (PubMed), SCOPUS, and the CERA website. Data analysis focused on publication type, authors, CERA survey type, and citation rates.

RESULTS: From a total of 231 articles retrieved via initial searches and 166 from the CERA …

Exploring Kosovo's Need For A Technology-Driven Offset Strategy, Alba Cikaqi

Theses

At a time where technological innovation is redefining national security, Kosovo risks falling behind by failing to adopt emerging technologies for defense and security. This research addresses that vulnerability by exploring the need for a dedicated national strategy as a solution. Drawing on global best practices, including the United States Offset Strategy, NATO frameworks, and innovation models from the Baltic countries, the study outlines a potential path forward. Additionally, through qualitative analysis, including interviews with key stakeholders across public, private, and academic sectors, this study looks into the opportunities and challenges of developing a context-specific strategy for integrating emerging technologies …

A Strategic Approach For Space-Based Solar Power Implementation In The Uae, Salamah Alhajeri

Theses

This thesis investigates the strategic potential of Space-Based Solar Power (SBSP) as a transformative clean energy solution for the United Arab Emirates (UAE). Set against the UAE’s Energy Strategy 2050 and increasing global climate pressures, this study explores how the UAE can take a leadership position in orbital solar energy through foresight-based planning, technological innovation, and policy integration. The research is guided by the following four questions: 1. What trends and uncertainties shape the future of space-based solar power in the UAE? 2. How can strategic foresight methodologies be used to develop a flexible SBSP strategy for the UAE? 3. …

Identifying Underspecifications In Security Requirements Using A Formal Reasoning Approach, Viktoria Koscinski

Theses

Within requirements engineering, software requirements specifications tend to prioritize functional needs, potentially failing to capture critical security aspects and adequate security requirements. Security requirements engineering is a manual and error-prone activity often neglected due to the knowledge gap between cybersecurity professionals and software requirements engineers. Consequently, security requirements are especially prone to being underspecified, a condition where they lack a complete set of feature-values and are thus open to multiple interpretations. Underspecified security requirements can lead to incorrect assumptions and missing security properties, often remaining undiscovered until system deployment, thereby leaving the system vulnerable to exploitation. Furthermore, even individually well-written …

Protein Language Models-Based Representation For Post-Translational Modification Prediction, Suresh Pokharel

Theses

Post-translational modifications (PTMs) are chemical changes that occur after translation and play a key role in regulating protein function and cellular processes. Their dysregulation is associated with various diseases, making accurate prediction of PTM sites essential for understanding cellular mechanisms and informing therapeutic strategies. This work focuses on the computational prediction of two biologically significant PTMs, namely succinylation and O-GlcNAcylation, utilizing recent advances in protein language models (pLMs). Drawing an analogy to natural languages, amino acids are treated as words and sequences as sentences, allowing pLMs to capture contextual dependencies within protein sequences. One of the earliest contributions of this …

Dynamic Defenses To Systematically Secure Exposed Attack Surfaces In Wireless Systems, Naureen Hoque

Theses

While modern wireless systems rely on strong encryption, this alone does not secure the entire attack surface, including exposed signal attributes, pre-authentication exchanges, and protocol metadata. This dissertation challenges the assumption that existing cryptographic protections are sufficient to protect these vulnerabilities. Signal attributes, including phase and amplitude variations due to modulation, are physical-layer characteristics of encrypted data communication that remain observable and exploitable for attacks like traffic analysis. The pre-authentication phase—during which session keys are negotiated and installed—is vulnerable to spoofing and denial-of-service attacks. Protocol metadata, such as operating channel, sender’s address and location, and timestamps, is unencrypted and can …

Who Dominates The Coalition? Frame Salience And Public Support For Policy–Democracy Protest Coalitions Under Authoritarian Rule, Mai T. Truong

Political Science Faculty Research and Publications

How does the public support a coalition in which pro-democracy advocates and policy-based protesters join forces in street protests? When policy-based and pro-democracy groups protest together, they create a collective action frame that includes a policy component and a democracy component. In this article, I develop the frame salience theory, arguing that support for a policy–democracy protest coalition depends on which component of the joint frame is perceived to be more dominant. I argue that in authoritarian regimes, the policy component typically dominates the coalition because it is more accessible and available to the public. This perception shifts public support …

Vertical Hydrokinetic Turbine, Miki Harding, Ben E. Mertz

Rose-Hulman Undergraduate Research Publications

No abstract provided.

Light-Driven Phenotypic Plasticity In The Depth-Generalist Coral, Pavona Varians, Claire J. Lewis, Shayle B. Matsuda, Tayler L. Sale, Caitlyn Genovese, Chelsea S. Wolke, Norton Chan, Stephen Ranson, Jake M. Ferguson, Amy L. Moran, David A. Gulko, Peter B. Marko

Biology Faculty Publications

Climate change is causing shifts in the spatial distribution of species and a reshuffling of the composition of multiple community types. On coral reefs, deep water can act as both refuges and refugia for corals from the combined negative effects of heat and light stress. Phenotypically plastic generalists that can tolerate both low and high light environments could be disproportionately important on future reefs, persisting in refugia and colonizing vacant shallow reefs. We performed a common garden experiment to investigate the effect of light on three different wild-collected genotypes of the abundant, depth-generalist coral Pavona varians. We measured the growth …

A Pathway To Research-Reliable Dynamic Temporal And Tactile Cueing For Children With Childhood Apraxia Of Speech: A Multiphase Process For Training Community Clinicians, Julia Case, Maria I. Grigos, Shelley L. Velleman, Elizabeth Murray, Donna C. Thomas, Shelby Anumandla, Jenya Iuzzini-Seigel

Speech Pathology and Audiology Faculty Research and Publications

Purpose: Mounting research supports the use of motor-based intervention (e.g., Dynamic Temporal and Tactile Cueing [DTTC]) for children with childhood apraxia of speech (CAS), but large randomized controlled trials (RCTs) are needed to better understand optimal treatment conditions. Partnering with community clinicians may help support recruitment and data collection for large groups of participants with CAS. However, to achieve this, rigorous training is needed to ensure high-fidelity treatment and adherence to research protocols. This work presents a multiphase process for training community clinicians to implement high-fidelity DTTC. We then examined whether clinician factors predicted their performance on assessment tasks used …

Developing A Typology Of Korean Women Leaders' Resistance To Their Token Status In The Workplace, Yonjoo Cho, Jiwon Park, Sumi Lee, Sokyum Yoon

Human Resource Development Faculty Publications and Presentations

Despite remarkable economic development in South Korea (Korea), there are only a few women leaders, and they face challenges in the gendered workplace where organizational constraints and traditional values coexist. In a reanalysis of narratives of Korean women leaders (KWLs), using an ideal-type analysis as a novel qualitative research method, we identified five types of KWLs' resistance to their token status in the workplace: (1) Opportunity-Driven, (2) Pathfinding, (3) Self-Reflective, (4) Persevering, and (5) Changing the Way to Resist. The five types broaden the meaning of KWLs' resistance and highlight different ways they resist their token status in the workplace. …

Wikidata Workflows: With Orcid And Openrefine - A Binghamton University Case Study, Sasha Frizzell

Library Scholarship

This lightning talk will provide an overview of the process Binghamton University Libraries has been using to transform faculty information from ORCID profiles into updates in Wikidata. Our pilot project began in January 2024 to support integratation of linked data workflows into cataloging efforts, diversify authority work, and improve the visibility of institutional research output in open knowledge ecosystems. This talk will discusses the process of collecting ORCID profile information via API, cleaning and mapping data in Open Refine, and proposed expansions of the workflow in future iterations. The lightning talk aims to offer practical strategies for other institutions interested …

Student Affairs Committee Minutes, Clemson University Board Of Trustees, 2025 July 16, Clemson University Board Of Trustees

Minutes

No abstract provided.

Enhanced Pavement Project Prioritization, Bryan Gibson, Jon Wilcoxson, Gayle Marks

Kentucky Transportation Center Research Report

The Kentucky Transportation Cabinet (KYTC) is responsible for inspecting, maintaining, and improving 27,000 centerline miles of pavement. Given the vastness of the state’s transportation network, KYTC needs a robust method for prioritizing pavement preservation projects. The Cabinet has relied on pavement condition ratings, data collected using Laser Crack Measurement Systems, and input from district-level staff to prioritize these types of projects. But this approach overlooks information that should be considered, such as factors related to safety, mobility, and geographic context. To resolve these shortcomings, Kentucky Transportation Center (KTC) researchers worked with KYTC subject-matter experts to develop the Enhanced Pavement Prioritization …

The Effect Of Selected Behavior Modification Technique Of Getting Ready To Work, John Richardson

All Theses

No abstract provided.

Facing Faculty Fears About Ai, John Lande

Faculty Publications

This essay addresses a widespread but rarely voiced concern among faculty: the fear of appearing uninformed, unprepared, or even outmatched by students when incorporating AI into their teaching. While worries about cheating, hallucinations, de-skilling, and loss of control are legitimate, this essay encourages faculty to shift from fear to curiosity. It argues that acknowledging uncertainty can strengthen faculty–student relationships and model the curiosity and humility we hope to cultivate in students.

It outlines two general strategies for faculty: restricting AI use when students need to build foundational skills, and requiring it when students are ready to develop professional judgment using …

Getting Help From Ai To Update Your Syllabus (Even If You Think It's Just Fine), John Lande

Faculty Publications

Law school faculty often reuse the same syllabi from year to year, assuming that if a course "isn't broken," it doesn't need fixing. But with the upcoming NextGen Bar Exam, new lawyer licensing regimes, and the widespread use of artificial intelligence in legal practice, the context for teaching dispute resolution is changing rapidly.

This short article encourages faculty to reflect on their syllabi and consider how generative AI tools can support thoughtful, efficient updates. It offers practical strategies for adapting to bar exam and licensing developments, incorporating AI skills into courses, integrating representation and neutral perspectives, and redesigning assignments to …

Robert Lanoue V. Attorney General United States Of America

2025 Decisions

Agency

Swosu Fact Book Summer 2025, Joel Harrel Kendall, Diane Fitzsimmons, Kelsi Burghardt

Fact Books

The 2nd annual Southwestern Oklahoma State University Summer Fact Book provides a ready source of information to answer frequently asked questions about the University and its operations. The Summer Fact Book is compiled annually by the Office of lnstitutional Research to assist the university with strategic planning, academic program reviews, grant writing, accreditation, and institutional information to help guide decision-making. The report uses data collected from 2016 to 2025 and is designed to help faculty, staff, administrators, and external stakeholders better understand the student body and university trends.

Waring Library Society Newsletter, Summer 2025, Waring Library Society, Waring Historical Library, Medical University Of South Carolina, Jude Arendall, Robert Ball, Jerry Reeves, Joann Livingston Zeise, Tabitha Samuel

The Waring Library Society Newsletters

In this issue, Waring Library Society President Robert Ball, M.D. highlights the accomplishments of Dr. Randolph D. Smoak, Jr., emphasizing his leadership in medical organizations, advocacy for health reform and anti-smoking efforts, and recognition as a distinguished alumnus of MUSC. Jerry Reves, M.D., shares a brief new history of the Medical College. The Waring’s staff also provide updates: JoAnn Zeise, provides updates on the Waring’s restoration project, including the asbestos; Tabitha Samuel shares the new Spring 2025 titles added to MEDICA@MUSC, Jude Arendall makes a return to the Waring.

Evaluating The Predictive Value Of Basc-3 Anxiety Scale And Working Memory Index Scores For Clinically Significant Test Anxiety: A Comprehensive Analysis Of Non-Classifiable Cases, Des'tiana S. Williams

Electronic Theses and Dissertations

This dissertation will explore how test anxiety (TA) affects working memory (WM) and whether certain factors can help predict higher levels of test anxiety. Anxiety has been defined as a common experience that can show up in various forms—like general worry, social fears, panic attacks, and specific phobias (APA, 2022). It was described as often triggering our natural “fight-or-flight” response, which can impact our ability to focus, think clearly, and remember things. For students, test anxiety has been especially challenging, affecting how they perform in high-stakes academic settings. Using data from a university based psychological assessment center, this study will …

Annual Report Hudson, New Hampshire For Year Ending June 30, 2025, Hudson Town Representatives

Hudson, NH Annual Reports

This is an annual report containing vital statistics for a town/city in the state of New Hampshire.

Healthy You, Lehigh Valley Health Network

Healthy You

No abstract provided.

Un(Der)Explored Links Between Plant Diversity And Particulate And Mineral-Associated Organic Matter In Soil, Šárka Angst, Gerrit Angst, Kevin E. Mueller, Markus Lange, Nico Eisenhauer

Biological, Geological, and Environmental Faculty Publications

Plant diversity can alter soil carbon stocks, but the effects are difficult to predict due to the multitude of mechanisms involved. We propose that these mechanisms and their outcomes can be better understood by testing how plant diversity affects particulate organic matter (POM) and mineral-associated organic matter (MAOM) depending on whether MAOM storage is "saturated" and the total soil organic matter pool is limited by plant inputs. Such context-dependency of plant-diversity effects on POM, MAOM, and total soil organic matter helps explain inconsistencies in plant-diversity-soil-carbon relationships across studies. Further illumination of this context-dependency is required to better predict consequences of …

Data-Driven Prediction Of Binder Rheological Performance In Rap/Ras-Containing Asphalt Mixtures, Eslam Deef-Allah, Magdy Abdelrahman

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

Asphalt recycling technologies have advanced considerably over the last few decades with the utilization of reclaimed asphalt pavements (RAP) and recycled asphalt shingles (RAS). Characterizing aged and heterogeneous binders in these mixtures is challenging, particularly with limited extracted binders. This study suggests a data-driven framework that considers the rheological, chemical, and thermal characteristics to predict the binders' performance. Ninety-seven mixtures with 0–35% of the asphalt binder replaced with RAP/RAS binders were included as cores from the field, plant-produced mixtures, and laboratory-fabricated mixtures. The binders were chemically quantified using aging, aromatic, and aliphatic indices. Thermal analyses of the binders involved the …

Reshaping The Narrative Around Sexual And Reproductive Health And Rights Research In Refugee Settings: Case Studies From Baobab, Baobab Research Programme Consortium

Humanitarian Task Force

The Baobab Research Programme Consortium (Baobab) is an Africa-based, African-led consortium, spearheaded by the Population Council, Inc., in partnership with the Population Council–Kenya and the African Population and Health Research Centre (APHRC). The consortium is reshaping the narrative around sexual and reproductive health and rights (SRHR) research in refugee settings. For the first time, Baobab is bringing rigorous, large-scale, globally-recognized SRHR surveys into these contexts, addressing longstanding barriers for refugee populations. These case studies highlight the successful impact that the programme has had on those living in humanitarian settings as well as the research field.

Experimentally Driven Numerical Model Of Carbon/Polyaniline-Based Glucose Monitoring Sensors: An Evaluation Using A New Figure Of Merit, Ziad Khalifa

Chemical Engineering

This study presents an experimentally driven numerical model for evaluating carbon/polyaniline (PANI)- based glucose monitoring sensors (GMSs), focusing on innovative configurations using graphene-PANI and carbon nanotube (CNT)-PANI composites. We performed a thorough analysis of the morphological, electrophysical, and electrical properties of these materials, ultimately leading to the extraction of key electrical parameters for integration into a finite element model (FEM). This model simulates the entire sensor, enabling the estimation of critical performance metrics such as sensitivity, limit of detection (LOD), linearity, and power consumption. Our findings demonstrate that the CNT-PANI configuration significantly outperforms the laser-induced graphene (LIG)-PANI electrode, achieving a …

Improving Sel Programs In Early Childhood Settings, Josie Guerin

Master's Theses & Capstone Projects

Preschool students are having their first experience with a classroom and are at a key point of entering their education. They are learning not only academics and the beginnings of reading, writing, STEM and art, but are learning how to function in a classroom and in society. They are taking on a lot of skills in a short period of time, one of the most important being SEL (social and emotional learning). This study is addressing the challenges of teaching our youngest learners SEL skills in an effective way, to make sure all students are receiving adequate SEL. Through a …

Adverse Childhood Exeriences In Early Childhood, Sierra Myer

Master's Theses & Capstone Projects

This inquiry-based research project examines how early childhood educators at Okoboji Elementary understand and implement trauma-informed care (TIC). With many students impacted by Adverse Childhood Experiences (ACEs), educators are increasingly being asked to meet both academic and emotional needs in the classroom. This study used anonymous surveys and Teaching Strategies GOLD assessment data to explore teacher familiarity with ACEs, confidence in managing trauma-related behaviors, and the supports they feel are still needed. Findings show that while many educators are using trauma-sensitive strategies—such as calm-down corners, emotional check-ins, and visual routines—confidence levels and training backgrounds vary. Some staff have received formal …