Digital Commons Network^™

An Act To Create A Board Of Trustees To Manage And Control Florence State College..., Skinner Printing And Office Supply Co. Printers-Binders

Documents on Education and Progress of the University

Alabama Legislative Act No. 773 for Florence State College

History Of Wesleyan Hall, Susan Guttery

Documents

History of Wesleyan Hall

Pinnlab: An Interactive Dashboard For Teaching Data-Driven Parameter Estimation In Differential Equations Using Physics-Informed Neural Networks, Mohan J. Parthasarathy, Padmanabhan Seshaiyer

CODEE Journal

Undergraduate instruction in ordinary differential equations (ODEs) is typically organized around the forward problem: finding solution trajectories when the governing equation and its parameters are known. In scientific practice, however, inverse problems are often more relevant, requiring unknown parameters to be inferred from noisy observations while assessing whether a proposed model is consistent with the data. We introduce PINNLab, an open-source MATLAB dashboard designed to help undergraduate students explore inverse modeling through physics-informed neural networks (PINNs). PINNLab presents PINNs as a complementary data-driven framework that connects differential equations, optimization, empirical data, and scientific machine learning. The instructional sequence is organized …

What Do Highly Successful Families Of Faith Teach Us About Trust?, Caleigh E. B. Kerr

Undergraduate Honors Theses

This study examined trust among diverse families of Abrahamic faiths across the United States. The 292 families who were part of this national study represent significant religious breadth (over 20 total denominations), geographic scope, and racial diversity, with 51% of the participants being racial/ethnic minorities. Married participants had at least one child. Education levels of participants ranged from G.E.D to Ph.D., with varying socioeconomic statuses. Semi-structured interviews were conducted with participants. Couples were hand-chosen by their respective religious leaders as being both relational and religious exemplars.

Using the qualitative responses of participants, a word search was conducted. Responses relevant to …

Third Space Thinking In The Secondary School Writing Center: A Model For A More Just Approach To Education, Annika Peacock

Undergraduate Honors Theses

This thesis examines the ways that Homi Bhabha’s postcolonial Third Space theory aligns with writing centers, and more specifically writing centers in secondary schools. The thesis introduces Third Space theory in six characteristics and the ways that writing centers are Third Spaces. Next, through content analysis, 25 mission statements from secondary school writing centers are qualitatively coded to reveal what writing centers prioritize and understand about their center. The thesis finishes with a framework called Third Space thinking, providing examples of how writing centers as Third Spaces can help to develop a more just and equitable educational experience for students …

Learning To See Lesions, Not Skin Tone: Counterfactual Multimodal Learning For Fair, Trustworthy, And Text-Free Dermatology Ai, Shivam Jangid

Master’s Dissertations

Recent advances in deep learning have significantly improved the performance of automated skin lesion classification systems, enabling accurate detection of various dermatological conditions from medical images. Despite these achievements, concerns regarding fairness and generalization remain a major challenge for the deployment of such systems in real-world clinical settings. A key factor contributing to these challenges is the presence of bias in training datasets, particularly with respect to skin-tone representation. Most publicly available skin lesion datasets contain a disproportionate number of samples from individuals with lighter skin tones. As a result, deep learning models trained on these datasets often learn representations …

Deep Reinforcement Learning With Directed Asymmetry And Kolmogorov-Arnold Networks For Dismantling Interdependent Multiplex Networks, Soumyajit Dev

Master’s Dissertations

Identifying the minimum-cost node-removal sequence that fragments a complex network - the network dismantling problem is NP-hard and central to infrastructure resilience. In interdependent multiplex networks, this difficulty is compounded by cascading cross-layer failures. While deep reinforcement learning (DRL) agents utilizing graph neural network (GNN) encoders achieve near-optimal dismantling, current state-of-the-art architectures suffer from two critical limitations. Topologically, existing agents strictly assume undirected edges, rendering them inapplicable to directed systems - such as supply chains or gene regulatory cascades - where failure propagation is fundamentally asymmetric. To resolve this, we propose Disassembling Directed Interdependent Networks (DDIN). DDIN introduces an asymmetric …

Usa V. Brian Burrows

2026 Decisions

USDC for the Eastern District of Pennsylvania

University Of New Hampshire Dean's List For Spring 2026 Semester, Unh Communications And Public Affairs

UNH Today Archive

No abstract provided.

Innovation Hubs In Mountain West Cities, 2025, Cason Noll, Sean Curry, Olivia K. Cheche, Caitlin J. Saladino, William E. Brown Jr.

Economic Development & Workforce

This fact sheet presents data on 20 innovation-dense Mountain West cities across Arizona, Colorado, Nevada, New Mexico, and Utah. The CommercialCafe report, “Santa Clara, Berkeley & Tempe Lead Among Western Innovation Hubs,”  uses 15 indicators to rank 63 western cities for innovation hub activity across three categories: employment and talent, education, and business activity.

Using In-Home Air Quality Monitoring To Reduce Cannabis Secondhand Smoke Exposure In Children: Quantitative Pilot Feasibility Study, Vincent Berardi, Bradley N. Collins, Laura M. Glynn, Eusabeia Silfanus, Darby G. Lyons, Stephen J. Lepore

Psychology Faculty Articles and Research

Background: An estimated 5 to 8 million US children live with a parent who uses cannabis, and most cannabis users report smoking cannabis inside their homes, placing children at risk for cannabis secondhand smoke (cSHS) exposure. Indoor air quality (IAQ) monitoring provides real-time feedback on airborne pollutants and has shown promise in reducing in-home tobacco secondhand smoke exposure, suggesting its potential as an effective harm reduction strategy for cSHS.

Objective: This pilot study evaluated the feasibility, acceptability, and preliminary effectiveness of using low-cost, off-the-shelf IAQ monitors to increase caregivers’ awareness of children’s cSHS exposure risk and to change …

Usa V. Matthew Sharps

2026 Decisions

USDC for the Eastern District of Pennsylvania

Substantial Nighttime Evapotranspiration In Lettuce Grown Under Controlled-Environment Conditions, Claudia Garrido-Ruiz, Juan D. González-Teruel, Scott B. Jones, Bruce Bugbee

Plants, Soils, and Climate Faculty Publications

Nighttime evapotranspiration (ET_n) has been widely reported across plant species, yet its magnitude and physiological significance in controlled-environment crop production remain poorly understood. This study quantified ET_n in lettuce (Lactuca sativa L. cv. Outredgeous) grown under controlled-environment conditions and evaluated nighttime-to-daytime ET dynamics under contrasting surface cover conditions. Plants were grown in peat-based root modules operated as zero-drainage systems, allowing ET to be quantified from continuous mass loss of individual nutrient reservoirs. Two surface treatments were compared: uncovered growth media and growth media covered with flexible silicone-rubber sheets incorporated as part of the evaluated growth-system configuration, which …

The Power Of Proximity: Driving Hand Hygiene Compliance Through Sanitizer Placement, Jennifer E. Jones, Eric Van Middendorp, Leanne Wendt

Posters

Hand hygiene is the cornerstone of infection prevention in healthcare settings and is particularly critical in the Neonatal Intensive Care Unit (NICU) where patients are highly vulnerable due to immature immune systems and frequent exposure to invasive procedures. Healthcare associated infections (HAIs) remain a significant cause of morbidity and mortality among neonates. Evidence consistently identifies proper hand hygiene as the single most effective intervention to reduce HAIs in NICUs. Despite its simplicity, compliance among healthcare workers is often suboptimal, influenced by factors such as workload and accessibility of hand hygiene resources.

Quality In Action: A Systematic Approach To Central Line Associated Bloodstream Infection Prevention, Jennifer E. Jones, Maggie Simons, Sherri Hoard, Gabriel Laney, Adam Nicholson, Victoria Springvloed, Tracy James, Erica Tuffs

Posters

Central line associated bloodstream infections (CLABSIs) are a major source of morbidity, mortality, and increased healthcare costs in hospitalized patients. Reducing CLABSI rates requires more than isolated interventions; it demands a coordinated, multi-disciplinary strategy that addresses clinical practice, workflow and organizational culture.

From Scenario To Safety: Simulation As A Catalyst For Infection Prevention, Brianne M. Bachman, Jennifer E. Jones, Jessica L. Mcclusky, Mallory Davis

Posters

Simulation-based education has emerged as a transformative tool in healthcare, bridging the gap between theoretical knowledge and clinical practice.

In the realm of infection prevention, simulation offers a controlled, risk-free environment to reinforce essential protocols, build competency, and identify system level vulnerabilities before harm occurs.

Improving Documentation Accuracy Of Surgical Site Infection Prevention Bundles Using Implementation Science Frameworks, Laura Fraser, Lynn M. Sackett-Hodge, Michelle Schaeffer, Pamela S. Bozigar

Conference Presentation Abstracts

Accurate documentation of Surgical Site Infection (SSI) prevention bundle components is essential for quality improvement and patient safety. In National Healthcare Safety Network (NHSN)-reported colon (COLO) and hysterectomy (HYST) procedures, incomplete or inconsistent documentation undermines bundle fidelity and limits evaluation of outcomes. This initiative aims to determine whether embedding evidence-based interventions within implementation science frameworks improves documentation accuracy and ensures sustainability.

Applying Theory Of Planned Behavior To Examine Adolescent Female Athletes’ Intentions Of Continued Sport Participation, Chris Hopkins, Casey S. Hopkins

Open Access Fund Publications

Introduction: Adolescent females discontinue sports at higher rates than males, which contributes to their lower overall physical activity during this important period of development. Potentially useful for understanding this disparity, the Theory of Planned Behavior (TPB) provides a framework to study one's intentions through their attitudes, subjective norms, and perceived behavioral control. This study examined whether TPB constructs predict female adolescents’ intentions to continue participating in sports and remain physically active.

Methods: This cross-sectional study used an online questionnaire to collect data from 271 female adolescents who recently participated in organized sports. Structural equation modeling was used to test TPB's …

New Studies In Lattice-Based Cryptography, Quantum Algorithms, And Privacy-Preserving Computation, Hansraj Jangir

Electronic Theses and Dissertations 2020 - Present

Classical public-key cryptographic schemes primarily rely on the presumed hardness of the integer factorization and discrete logarithm problems. However, Shor’s algorithm demonstrates that both problems can be solved efficiently on a sufficiently powerful quantum computer. This breakthrough motivated the search for quantum-resistant hard assumptions. The assumptions based on lattices are one of the primary candidates in post-quantum cryptography due to their strong theoretical foundations and well-established hardness against both classical and quantum attacks. In this thesis, we explore several directions of lattice based cryptology and quantum algorithms.

On the construction side, we propose two compact encryption schemes based on the …

Bridging The Gender Gap In Ghanaian Local Governance: Key Enablers And Pathways, Martin Brantuo, Victor Fannam Nunfam, Joseph Akanganngang Asitik, Ebenezer Afrifa-Yamoah

Research outputs 2022 to 2026

This qualitative study examines factors facilitating women’s election to District Assemblies in Ghana through social capital and supply–demand theoretical frameworks. Through interviews with thirteen female Assembly members and four officials, the research identifies four critical enablers: financial resources, political affiliations, community relationships, and educational qualifications. Financial resources emerged as crucial for campaign management and voter mobilization, while political party support provided strategic advantages despite the nonpartisan nature of local elections. Strong interpersonal relationships within communities proved vital for building voter trust, and educational background enhanced candidates’ credibility. The findings inform recommendations for implementing gender quotas, establishing campaign funding mechanisms, voter …

Cover And Contents

Turkish Journal of Physics

No abstract provided.

Coupling A Discrete State To A Quasi-Continuum: A Model Quantum-Mechanical System That Interpolates Between Rabi Oscillations And Decay-Revival Dynamics, Enes Kutay İşgörür, Osman Cevheroğlu, Arkadaş Özakin

Turkish Journal of Physics

We formulate a quantum-mechanical system consisting of a single discrete state coupled to an infinite ladder of equally spaced states, with the coupling described by a Lorentzian profile. Various limiting cases of this system correspond to well-known models in quantum optics: the narrow-resonance limit yields the Rabi model, the wide-resonance limit yields the Bixon--Jortner model, the wide-resonance true continuum limit yields the Wigner--Weisskopf model, and the fixed-resonance true continuum limit yields a system typically studied using methods developed by Fano. We obtain a semianalytical solution to the eigenvalue problem by reducing it to a transcendental equation and demonstrate the limiting …

Experimental Study Of A Scaled Flexible Riser For Hydrogen Transport From A Floating Wind Turbine Platform To The Seabed, Jessica Guichard, Martyn Hann, Tom Tosdevin, Deborah Greaves

School of Engineering, Computing and Mathematics

Dolphyn Hydrogen aims to support the UK Government’s 2030 hydrogen targets by deploying a 10-15 MW Commercial Scale Demonstrator that produces hydrogen offshore using wind energy. To achieve this, hydrodynamic studies are required to optimise the flexible pipeline transporting hydrogen from a floating wind turbine to the seabed, as well as the buoyancy modules that create the riser’s lazy wave shape. A key parameter is ensuring the riser never bends below its minimum allowable radius. The hydrodynamic behaviour of a 6-inch NOV flexible pipe is tested at 1:62 scale in the University of Plymouth’s COAST Laboratory Ocean Basin. The riser …

The Role Of Chatgpt In Higher Education: A Systematic Literature Review Of Applications, Perceptions And Ethical Implications, Mahmoud Abdelrahman, Shiyu Hu, Ons Al-Shamaileh, Ramy Hammady, Nishara Nizamuddin

All Works

Purpose – This study aims to systematically review the emerging literature on ChatGPT in higher education, focusing on its applications, impacts and ethical implications from the perspectives of students and academic staff. By synthesising evidence across disciplines and geographical contexts, the review identifies key benefits such as enhanced learning efficiency and artificial intelligence (AI) literacy, alongside challenges including academic integrity risks and unequal access. The purpose is to provide a comprehensive, student-centred understanding of ChatGPT’s role in higher education and to offer actionable insights for policy, practice and future research. Design/methodology/approach – This study adopts a systematic literature review (SLR) …

Editor’S Introduction, Michael D. Pante

Philippine Studies: Historical and Ethnographic Viewpoints

No abstract provided.

Load Profile Analysis And Forecasting For Rural Mini Grids In Uganda, Prossy Mutesi, Santos L. Kihwele, Emmanuel S. Matee

Tanzania Journal of Science

Accurate load forecasting is essential for the reliable and cost-effective operation of rural mini grids, where constrained generation capacity and high penetration of renewable energy resources require well-informed operational decisions. This study examines electricity demand characteristics and forecasting performance for the Buzaami and Ssenyondo mini grids in Uganda, with particular focus on diurnal load profiles, peak demand behavior, and seasonal variability. 2022 operational data show extended peak demand from early morning to late evening, driven by socio-economic activities that strain resource scheduling and reliability management. To address these challenges, the study evaluates and compares Long Short-Term Memory (LSTM) networks, fuzzy …

A System For The Prediction Of Election Results Using Vader And Hybridized Machine Learning Model, Abraham E. Evwiekpaefe, Khadijah Kabir, Georgina N. Obunadike

Tanzania Journal of Science

Integrating different classifiers along with sentiment lexicons like Vader, can enhance the performance of sentiment analysis systems. However, such a hybrid model remains underexplored, particularly in the context of regional elections in developing countries like Nigeria. The aim of this research is to develop a hybrid model that combines three machine learning classifiers and Vader lexicon to possibly achieve a higher accuracy. A case study of the 2023 governorship election in Kogi, Bayelsa and Imo State, Nigeria was examined. Twitter API library was utilized to extracted public and personal tweets using hashtags and keywords related to the target data from …

Optimization Of Bio-Briquettes Production From Cassava Stems Co-Blended With Sisal Bole Bagasse Using Response Surface Methodology, Agnes Nshoma Msobi, Neema O. Msuya, Kando Khalifa Janga

Tanzania Journal of Science

This research aimed at producing bio-briquettes from cassava stems and sisal bole bagasse as an alternative source of cooking energy. A Response Surface Methodology (RSM) with Face - Centered Central Composite Design (FCCCD) featured a multi-objective optimization of the effect of the production parameters, focusing on maximizing char yield and Higher Heating Value (HHV) of the produced briquette while minimizing carbonization temperature and residence time. The findings showed that bio-briquettes produced at the lowest temperature (250 ℃) and residence time (30 min) and the blending ratio of 75% by 25% had the highest char yield of 76.92% and HHV of …

Modelling And Analysis Of 50 Mwp Solar Pv Integration Into Tanzania’S Transmission Network: A Case Study Of Tagamenda Substation, Iringa Region, Santos Kihwele

Tanzania Journal of Science

While increasing the share of renewable energy in the grid, grid integration studies for the utility solar photovoltaic (PV) plants are vital, given their intermittency and the fact that Tanzania has never had one connected to the grid. This paper presents a 50 MWp grid integration study, including a technical analysis conducted using PSS®E software. The study investigates the grid behaviour during the integration of the 50 MWp solar plant, considering the most suitable technical and economic solutions. The study analysed the load flow under normal conditions, contingency analysis (N-1), short- circuit analysis, and voltage stability assessment. The results show …

How Location-Allocation Modelling Can Be Used To Site Pet-Friendly Evacuation Shelter Locations For Pet Owners In Hillsborough County, Florida: An Exploratory Study, Sarah A. Shaughnessy

USF Tampa Graduate Theses and Dissertations

Florida has been hit by some of the most destructive tropical cyclones in North America due to its relative location to the Gulf and Atlantic Ocean. Florida’s population growth since the 2000’s and the increased frequency of stronger storms because of climate change have made numerous emergency management leaders throughout the state get evacuation shelter networks established for public safety. However, the existing shelter network in Hillsborough County has become inadequate to satisfy the unprecedented population growth in that specific area since the COVID-19 pandemic and there’s a need for new shelter locations to better accommodate the growth when a …