Digital Commons Network^™

Fsc Will Have A 'Big Eye', Bob Dixon

Documents

News article from The Florence Times about the new 14 1/2-inch reflector telescope built and donated to Florence State College.

Florence State University Planetarium-Observatory Information And Schedule, Florence Herald Offset

Documents

Florence State University Planetarium & Observatory Information and Schedule Brochure for Academic Year 1970-1971

The Psychology Behind Ai-Generated Phishing And Social Engineering Attacks, A’Shya Reynolds

School of Cybersecurity Master's Level Projects and Papers

Cybercrime has evolved significantly with the integration of artificial intelligence (AI), transforming traditional phishing and social engineering attacks into highly sophisticated and personalized threats. While early phishing attempts relied on generic messaging and low success rates, modern AI-driven attacks leverage advanced data analytics, natural language processing, and behavioral prediction to manipulate victims more effectively.

This research examines how cybercriminals utilize AI to enhance psychological manipulation techniques in phishing and social engineering attacks, increasing victim susceptibility. Drawing from interdisciplinary literature in cybersecurity and psychology, this study explores key psychological mechanisms, including cognitive biases, emotional triggers, and decision-making processes that influence victim …

1st Place Contest Entry: "Examining Experiences Of Search Committee Members For Deans Of Colleges Of The Arts", Connor Bogenreif

Eric M. Scandrett Graduate Library Research Prize

This is Connor Bogenreif's submission for the 2026 Eric M. Scandrett Graduate Research Prize, which won first place. It contains their essay on using library resources, a summary of their research project on the experiences of search committee members for deans of colleges of the arts, and their bibliography.

Connor is a student in the Ph.D. in Education program at Chapman University. Their faculty mentor is Dr. Doug Havard.

Perspectives Of Classroom Teachers On The Foundational Reading Needs Of Fourth Through Sixth Grade Students, Deliska Burton-Cooley

Dissertations

Reading proficiency is a critical foundation for academic success; however, many students enter the upper elementary grades without the foundational literacy skills necessary to access grade level content. Teachers in grades four through six are increasingly responsible for addressing persistent reading gaps while simultaneously meeting instructional expectations aligned with grade-level standards. The problem addressed in this qualitative descriptive study was the limited research examining how upper elementary teachers identify and respond to foundational reading needs when such gaps persist beyond the primary grades. The purpose of this study was to examine upper-elementary teachers’ perspectives on identifying and addressing foundational reading …

Voyages Spring 2026, Florida Southwestern State College

Voyages Magazine

Voyages Magazine: FSW Futurescapes. Spring 2026.

To Smile Or Not To Smile? What Policymakers Need To Know About The Interplay Between Expressive Robotics And Public Perception, Adeline Schneider, Waseq Billah, Naomi T. Fitter

Canadian Journal of Law and Technology

The growing presence of autonomous delivery robots (ADRs) in public spaces has introduced new challenges regarding public perception, safety, and policy regulation. While ADRs provide a convenient, contactless delivery solution, there has been little research exploring how their design influences public acceptance and regulatory concerns. This study investigates the impact of expressive robotic features on perceptions of ADRs through a between-subjects online survey comparing two ADR models: the expressive Dax robot and the more widely deployed Starship robot. Participants answered questions about the robots’ expressivity and policy-relevant perceptions surrounding the robot. Findings showed a mix of enhancements from added robot …

Generating Personal Data And The Gdpr Conceptualizing, Analyzing, And Recognizing Generated Personal Data, Hideyuki Matsumi

Canadian Journal of Law and Technology

In 2014, to fight the littering problem, an environmental group posted portraits of potential litterbugs on public streets. The group extracted DNA from tossed cigarettes, coffee cups, or condoms, and generated the possible likeness of individuals whose DNA was found from these items in public. Similarly, in 2017, detectives working on a cold case sent DNA found at the crime scene of a homicide and sexual assault victim from 1990 to a company that claims it ‘‘can turn DNA into a face”. Subsequently, detectives published the ‘‘predicted face” in an attempt to solicit tips from the public. In 2020, they …

From Software To Models: Rethinking Open Source In The Age Of Generative Ai, Dana Beldiman

Washington Journal of Law, Technology & Arts

Open-source software (OSS), a form of distributed and collaborative software development rooted in the ethos of early computer science, has evolved into an essential component of modern digital infrastructure. This article asks whether open source will assume a similarly transformative role within the emerging technological paradigm of generative artificial intelligence (AI).

Generative AI differs fundamentally from software: its constituent artifacts, architectures, generative capacities, and deployment contexts are distinct and substantially more complex. Despite these differences, foundation models continue to be released under licenses originally designed for software, which may not constitute a valid transfer of rights in the generative AI …

Pelvic Inflammatory Disease: A Narrative Review Of Disparities Between Black And White Women In The United States And Strategies For Improvement, Lynne Li, Jessica Schlewitt

Journal of Patient-Centered Research and Reviews

Pelvic Inflammatory Disease (PID) is an inflammatory syndrome of the upper female reproductive organs caused by infection, most commonly via Neisseria gonorrhoeae or Chlamydia trachomatis, spreading to one or more reproductive organs. With PID responsible for many of the major morbidities of sexually transmitted infections (STIs), such as ectopic pregnancy and chronic pelvic pain, the urgency is high to mitigate the impacts of untreated PID, especially in higher-risk populations. This paper discusses the current disparities in PID diagnosis, treatment, and management between Black and white women and proposes interventions to reduce health inequalities involving PID. To conduct this narrative review, …

Standard Specifications For Road And Bridge Construction, April 1, 2021, Tennessee. Department Of Transportation.

TDOT Standard Specifications

No abstract provided.

Essentials Of Adolescent Literacy, Joan Sedita

Science of Reading

Adolescent literacy is a critical determinant of academic success, postsecondary readiness, and effective communication. As students transition from elementary to middle and high school, they encounter increasingly complex texts and are expected to use advanced reading and writing skills across content areas. While it is often assumed that students have mastered foundational literacy skills by this stage, many continue to struggle, placing them at a significant disadvantage.

This research brief examines the concept of adolescent literacy, highlighting its dual focus on content literacy—general strategies used across disciplines—and disciplinary literacy—specialized practices unique to specific subject areas. Within a Multi-Tiered System of …

High-Speed Driverless Racing: Lessons For Autonomous Mobility, Justin Gan, Samuel Labi

Center for Connected and Automated Transportation

Driverless racecar competitions are often perceived as recreational. However, their academic, industry, and research benefits are potentially tremendous, as several significant lessons can be learned from these competitions to advance autonomous mobility. This study was motivated (and its conduction facilitated) by the active involvement of the authors in several autonomous racing initiatives in the United States. The study first synthesized and analyzed information from existing literature related to the key modules of autonomous vehicle (AV) operations as part of AV racing competitions and identified some lessons that could be learned in the context of each module – perception and sensing, …

Deep Learning Based Approaches For Low Cost Defense Detection, Adele J. Noel-Rickert

All NMU Master's Theses

Pulmonary fibrosis is a progressive interstitial lung disease characterized by the accumulation of fibrotic tissue within the lungs, leading to impaired respiratory function and reduced quality of life. Early detection is important for disease management; however, accurate diagnosis often relies on high-resolution computed tomography (CT), which may not be accessible in all clinical settings. Chest radiography provides a lower-cost and widely available imaging modality, but interpretation of chest X-rays for fibrotic disease can be challenging due to subtle radiographic patterns and overlapping anatomical structures. This thesis investigates the use of multimodal deep learning techniques to assist in pul- monary fibrosis …

News From Hope College, Volume 57.3: Spring 2026, Hope College

News from Hope College

No abstract provided.

Llm-Driven Mission Control And Autonomous Planning For Search-And-Rescue Uavs: A Simulation-Based Evaluation, Naser Bader Alsaedi

Theses

Unmanned aerial vehicles (UAVs) are increasingly used in search‑and‑rescue (SAR) missions, yet many systems still rely on fragmented software where mission design, perception, and flight control are configured separately. This thesis examines whether a unified AI‑driven framework can reduce configuration effort and operator workload in UAV‑based SAR operations. The proposed system integrates natural‑language mission specification using a large language model (LLM) (LLaMA 3.1), autonomous coverage planning, YOLOv8‑based victim detection, and PX4/MAVSDK control within a single architecture. Operators describe missions through free‑form text or a graphical interface; the model converts these descriptions into structured mission parameters that are automatically planned and …

Analysis Of A Coaxial Transmission Line Filled With An Orthorhombic Dielectric-Magnetic Medium, Fathima Manikunnath Abdul Akbar

Theses

Coaxial transmission lines are fundamental means for Transverse Electromagnetic (TEM) wave propagation in RF, microwave and high-speed electronic systems. The study of transmission lines is often familiar when they are filled with isotropic materials; however modern engineered direction dependent materials reshape field distributions. In this thesis, we consider a coaxial transmission line of an inner radius and outer radius b filled with an orthorhombic dielectric-magnetic material, which is described by two anisotropy parameters αx and αy. The potential and field distributions are studied in relation to the ratio b/a as well as the anisotropy parameters αx and αy. Due to …

Efficient Fpga Implementation Of A 1 Million-Point Fft, Jwaher Abdulqader Al Tamimi

Theses

The one-million-point Fast Fourier Transform is implemented using a radix-2 single-path delay feedback pipeline architecture. To minimize the computational overhead, twiddle factors were pre-computed and stored in memory. The design uses a fixed-point representation with two integer bits and seven fractional bits, achieving a measured signal-to-noise ratio of 37.98. Given the substantial memory requirements, a memory partitioning approach was used. It mapped the delay buffers in each stage lookup table memory, block random-access memory, or ultra random-access memory, based on word width and memory depth.

The implementation operates successfully at 100 megahertz on a mid-scale field-programmable gate array. Post-implementation reported …

Altered Pruning In A Generative Neural Network, Sara Momen

Honors Theses

This study examines whether altered pruning in a generative neural network leads to more restricted or repetitive outputs, using Autism Spectrum Disorder (ASD) as a cautious computational analogy rather than as a biological equivalence. A compact denoising diffusion probabilistic model (DDPM) with a U-Net backbone was trained on CIFAR-10, and pruning percentage was treated as the primary structural variable. Instead of relying on a single assumed baseline, the final implemented study evaluated 0%, 10%, 15%, 20%, 35%, and 50% pruning under controlled conditions: the same dataset, the same epoch budget, the same random seed, and 1,000 generated samples per condition. …

A Comprehensive Calibration Framework For The Northwest River Forecast Center, Geoffrey Walters, Cameron Bracken, Brad Gillies, Leah Pope, Henry Pai, Sonali Chokshi, Victor Stegemiller, Stephen King, Julie Bracken, Taylor Dixon, Multiple Additional Authors

Mathematics and Statistics Faculty Publications and Presentations

We present a comprehensive framework developed by the Northwest River Forecast Center for calibrating hydrologically diverse basins. The framework includes models for snow, soil moisture, routing, channel loss, and consumptive use. Data inputs include a wide range of open-access datasets for meteorology, land use, topography, and land cover. The framework uses conceptual hydrologic models to handle basins with various hydrologic regimes including rain-driven and snowmelt-dominated basins. We also develop a flexible automatic calibration system that can handle numerous unobservable model parameters in a computationally efficient manner. A single-basin automatic calibration run can typically be completed on a modern laptop in …

Ai-Powered Knowledge Management Systems Across Industries: A Systematic Review Of Applications, Implementation Barriers, And Ethical Challenges, Edmund Evangelista, Ghazala Rizvi

All Works

This systematic literature review (SLR) evaluates the existing literature on the benefits, implementation challenges, and ethical concerns associated with Artificial Intelligence (AI)-driven Knowledge Management Systems (KMS) across industries. The SLR followed PRISMA guidelines to identify studies from Scopus, Web of Science, JSTOR, and Google Scholar, using inclusion and exclusion criteria. Critical Appraisal Skills Programme (CASP) checklists were used to assess methodological quality and risk of bias in the included studies, and a structured narrative synthesis was employed to synthesize the findings. The review of 21 articles reveals benefits like improved knowledge capture and creation, storage, retrieval, personalization, and efficient dissemination, …

Preserving The Past, Innovating The Future: Integrating Metaverse, Blockchain, And Generative Ai For Tourism And Cultural Heritage Preservation, Mousa Al-Kfairy, Amna Ahmed Aaber Ahmed Alqubaisi, Omar Alfandi

All Works

The preservation and accessibility of cultural heritage are seriously threatened by urbanization, mass tourism, neglect, and natural disasters. This study utilizes cutting-edge technologies to address these issues by presenting a novel framework that combines generative AI, blockchain, and the metaverse. The Metaverse provides immersive virtual experiences that lessen the physical strain on delicate locations by enabling the creation of lifelike digital replicas of cultural heritage sites. By creating immutable records, blockchain technology ensures the legitimacy, ownership, and traceability of digital assets, enabling open access and NFT monetization. Rebuilding lost or damaged artifacts, creating lifelike 3D models, and customizing user interactions …

International Rice Outlook: International Rice Baseline Projections 2025-2035, A. Durand-Morat, W. Mulimbi

AAES Research Reports and Research Bulletins

• Over the next ten years, global rice consumption is projected to exceed global rice production, making existing stocks crucial for meeting the global rice market demand. • Global production is projected to grow mostly due to productivity gains and some area expansion, with India’s production performance becoming more relevant. • The global rice consumption is projected to climb, driven mainly by population growth. The average global per capita rice consumption is expected to drop slightly over the next decade, primarily due to slower per capita consumption growth in Asia and Africa. • The international prices of long-grain and medium-grain …

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 …

Modeling And Constraining Beyond Standard Model Neutrino Self-Interactions, Sabrina Hanning , ‘26

Senior Theses, Projects, and Awards

Neutrinos are the ideal subject for theories of Beyond Standard Model (BSM) physics. This is because small neutrino interaction cross-sections make them incredibly difficult to detect and result in many open questions regarding neutrino properties, particularly those that do not fit nicely into the Standard Model of particle physics, such as the existence of neutrino masses. BSM neutrino self-interactions are an interesting possibility with connections to dark matter candidates, neutrino mass generation, and in general any measurement that relies on accurate modeling of incident astrophysical neutrino flux.

These self-interactions may take various forms, with different mediator particles; we present a …

Optimization Of Pumping Kite Wind Energy Conversion System, Jamie Pickar , ‘26, Sam Peterson , ‘26, Luke Magnuson , ‘26

Senior Theses, Projects, and Awards

Airborne wind energy systems (AWES) promise access to higher-altitude wind resources at lower capital cost than conventional turbines. This thesis presents a rigid-wing, ground-generation AWES prototype developed across two coupled subsystems: a kite designed for harnessing wind energy and a generator station designed for efficient pumping-cycle operation.

The kite subsystem progressed through three design generations. We replaced ball-joint wing mounts with fixed joints, derived a tail design using tail volume coefficients, and validated the tail through fusion 360 stress testing and Unity game engine simulation. The final prototype of the kite demonstrated approximately 25 seconds of passive transient flight stability …

Trash Bot!, Owen Hoffman , ‘26, Ryder Maston , ‘26, Jack Nicholson , ‘26

Senior Theses, Projects, and Awards

Trash Bot! is the prototype of a smart and mobile waste receptacle for Swarthmore’s waste management system. With Swarthmore College committing to embed zero waste into campus culture and achieve a 90% diversion rate by 2035, flexible waste systems must be developed and improved. Trash Bot! seeks to improve the diversion rate and sort accuracy on campus by reducing the human error present in the current waste sorting process. Trash Bot! was also designed to seamlessly integrate with a classroom environment, maintaining safety standards and avoiding collisions. Trash Bot! uses computer vision coupled with a trained classifier algorithm to achieve …

Sensegrity: A Tactile Sensor-For Tensegrity Robots, Jennifer Salguero , ‘26, Jefrey Torres , ‘26, Alvin Zheng , ‘26

Senior Theses, Projects, and Awards

This report presents the design, fabrication, and evaluation of three tactile sensors developed as part of the Sensegrity project: a fabric-based double-plate capacitive sensor, Hall effect sensor, and barometric pressure sensor. All three sensors were developed in parallel using Dragon Skin 20 silicone due to its durability and resilience. Each sensor differed in their methodology, the capacitive sensor used a capacitive fabric, the Hall effect sensor employed Hall effect integrated circuits (IC’s), and the barometric pressure sensor relied on pressure sensors to detect applied forces.

Each sensor successfully provided real-time binary contact detection. Physically, the capacitive sensor fit over the …

Monitoring Terrestrial Ecosystem Productivity Using Hyperspectral Satellite Data, Serge Tuyambaze

School of Natural Resources: Dissertations, Theses, and Student Research

Accurate estimation of terrestrial Gross Primary Productivity (GPP) is critical for quantifying global carbon sequestration and understanding the terrestrial carbon cycle. While eddy covariance (EC) towers provide standard flux measurements, upscaling these measurements to continuous global coverage remains challenging due to the sparse distribution of flux towers and their small footprints. Remote sensing (RS), especially coupled with eddy covariance data, has been used to estimate GPP at the global scale. Different RS derived productivity models have been developed, including vegetation indices, light use efficiency (LUE) models, solar-induced fluorescence (SIF), dynamic global vegetation models (DGVM), and machine learning. One widely adapted …

Impact Of In Situ Observations From Three Torus Cases On Model Analyses And Forecasts Of Severe Convection, Robert M. Szot

Department of Earth and Atmospheric Sciences: Dissertations, Theses, and Student Research

The quality of forecasts of severe deep convection in high-resolution numerical weather prediction is dependent on the representativeness of the model initial conditions. This representativeness may be negatively impacted by limited observation availability and by the presence of mesoscale heterogeneities that were not detected by conventional observations assimilated into convection-allowing models. By assimilating storm-scale observations from the Targeted Observation by Radars and Uncrewed Aircraft Systems (UAS) of Supercells (TORUS) campaign into an ensemble styled after the Warn-on-Forecast System, this study aims to investigate if data from field work platforms can improve the quality of initial conditions in the ensemble, potentially …