Digital Commons Network^™

A Quality Improvement Project: Enhancing Nursing Knowledge And Patient Safety In The Prevention Of Hospital-Acquired Pressure Injuries (Hapis) In A Medical-Surgical Unit, Kristen Vartabedian

Master's Theses and Capstones

Background: Hospital-acquired pressure injuries (HAPIs) are a significant quality indicator within the hospital system. HAPIs increase hospitalization, morbidity, and associated healthcare costs. The current evidence suggests that ongoing nursing education can improve pressure injury prevention and help in the early identification.

Local Problem: Nurses within a medical-surgical unit demonstrated a gap in knowledge in the identification of hospital acquired pressure injuries and lack of accuracy when charting skin findings. Thus, contributing to a delay in recognition and treatment of HAPIs.

Methods: This quality improvement project utilized the Plan-Do-Study-Act (PDSA) framework to guide implementation of educational flipbooks. Materials contained standardized wound …

Reducing Readmissions For Copd Through Improved Education: A Gap Analysis, Raphael Gaughan

Master's Theses and Capstones

No abstract provided.

Improving Efficiency In The Intensive Care Unit Through Reduction Of Nurse Burnout: A Quality Improvement Initiative, Johanna Grace Koroma

Master's Theses and Capstones

Abstract

Background: Intensive care unit (ICU) nursing is prone to high levels of burnout, which poses concern for staff wellbeing, patient safety, and microsystem strain (Kerlin et al., 2020). Educational interventions may serve as a means of increasing awareness on the issue and reducing the effects of burnout, through promotion of evidence-based management strategies.

Local Problem: One ICU microsystem identified several key contributing factors to nurse burnout, including staffing shortages, limited resources, competing responsibilities within the macrosystem, and insufficient organizational support (Zhang et al., 2025). Baseline survey data of the population observed a prevalence of 50% “high” burnout profiles among …

A Quality Improvement Initiative: Implementing An Effective Massive Transfusion Protocol Cognitive Aid Tool Within An Operating Room & Post-Anesthesia Care Unit Setting, Jenna L. Farrell

Master's Theses and Capstones

Abstract

Background: Massive Transfusion Protocol (MTP) activations are low-frequency, high-acuity events in the post-anesthesia care unit (PACU) setting.  These events necessitate the rapid formation of codes teams, interdisciplinary communication amongst unfamiliar providers, critical decision-making, high-volume rapid blood transfusions, and critical laboratory marker monitoring.

Local Problem: Due to the infrequent nature of hemorrhagic events in the PACU, nurses may have limited experience participating in these protocols at their institutions, resulting in potential for documentation errors from retrospective back charting, decreased confidence regarding blood product sequencing and laboratory draw timing, and increased cognitive workload overall.  This quality improvement (QI) project implemented …

Increasing Nursing Education On Effective Therapeutic Communication For Postpartum Depression: A Quality Improvement Project, Kayley Jade Couture

Master's Theses and Capstones

Introduction
At a nonprofit hospital located in New Hampshire, a 5P assessment was completed to determine a gap in the nursing staff's education on postpartum depression on a labor and delivery unit. Through the use of instructional design, persistent education on postpartum depression shows an overall increase in knowledge resulting in better patient-centered care (Takei, 2023). An important aspect of this quality improvement project was the participation of the nursing staff.

Methods
Using the PDSA framework (Plan-Do-Study Act), registered nurses on a labor and delivery unit participated in a three week quality improvement project to test their knowledge on postpartum …

Nh 4-H Horse Quiz Bowl Packet, Unh Cooperative Extension

UNH Cooperative Extension

No abstract provided.

Ne 4-H Horse Show Bit And Spur Rules And Guidelines, Hannah Majewski, Extension

UNH Cooperative Extension

No abstract provided.

What Is Nh 4-H Agri-Science Quiz Bowl, Hannah Majewski

UNH Cooperative Extension

No abstract provided.

Ne 4-H Horse Forms And Scoresheets 2026, Hannah Majewski, 4-H

UNH Cooperative Extension

No abstract provided.

Do-Reflect-Apply In The Ring, Hannah Majewski

UNH Cooperative Extension

No abstract provided.

Nh 4-H Livestock Quiz Bowl Packet, Unh Cooperative Extension

UNH Cooperative Extension

No abstract provided.

An Algorithm For Extracting Bathymetry From Icesat-2 Data That Employs Structure And Density Using Concentric Ellipses, Yuri Rzhanov, Kim Lowell

Faculty Publications

The ICESat-2 satellite collects LiDAR data along linear orbital tracks using a photon-counting green wavelength (532.27 nm) instrument. The utility of combining ICESat-2 data with satellite imagery for training and subsequently applying satellite-derived bathymetry models to provide estimates of shallow water depth is well-established. However, automating and improving the accuracy of the identification of ICESat-2 photon events (PEs) representing bathymetry remains a challenge. This article presents an algorithm for automated extraction of PEs reflected from the ocean floor (rather than the ocean surface or noise in the water column). The algorithm is unique in examining both the density of PEs …

Integrating Generative Ai Into Ds 774/874 & Graduate Is/Analytics Education, Andrew Bushnell

Business Analytics Student Projects and Publications

The widespread availability of generative artificial intelligence has weakened traditional assessment methods in Information Systems and Business Analytics education. In DS 774/874, AI and Emerging Technologies in Business (formerly E-Business) at the University of New Hampshire, auto-graded assignments and presentation-based deliverables no longer reliably indicate student understanding, as AI can generate correct or polished outputs with minimal engagement. Using DS 774/874 as a case study, this paper combines course analysis, evidence from business analytics education research, and a targeted review of peer and aspirational programs to examine how AI is being incorporated into IS and analytics curricula. The paper …

Strengthening Marketing Attribution Across The Funnel At Bluesnap Powered By Payroc, Lily Abigial Sturdevant

Business Analytics Student Projects and Publications

This case study examines how BlueSnap powered by Payroc can strengthen marketing attribution across a complex B2B funnel using its existing information systems. BlueSnap runs multichannel campaigns across paid search, paid social, display/CTV, email, SEO/PR, content syndication, and partner programs, but fragmented tracking across HubSpot, Salesforce, and media platforms prevents a unified, causal view of performance. The analysis combines a process and data-flow map of the TOFU-MOFU-BOFU customer journey, KPI and dashboard review, and a SWOT lens to diagnose issues in data integration, attribution modeling, and KPI interpretation. Findings show that attribution challenges stem less from lack of conceptual understanding …

Enhancing Alumni Data Integrity And Collection Practices At The College For Social Innovation, Rhea A. Shirodkar

Business Analytics Student Projects and Publications

The College for Social Innovation (CFSI) is an educational nonprofit that provides 15-week credited social sector internship programs for undergraduate and gap year students. To assess program impact and support strategic decision-making, donor engagement, program improvement, and recruitment initiatives, CFSI collects alumni outcome data through two FormAssembly surveys integrated with their Salesforce Nonprofit Success Pack (NPSP). However, organizational and data infrastructure changes taking place from 2020-2021 created a misalignment between FormAssembly and NPSP data structures, resulting in inconsistent field types, variable naming conventions, data mapping errors, and duplicate records entering the NPSP from 2021-onward. Compounded by the issue of low …

Spec Ops Tools Point Of Sale (Pos) Data Insights, Liam Mcgovern

Business Analytics Student Projects and Publications

No abstract provided.

2026 Favorite Foods Festival Participation Packet For Rockingham And Strafford Counties, Caitlin Wollack

UNH Cooperative Extension

No abstract provided.

Response: Foreign Affairs Prosecutions And Cybercrime, Mailyn Fidler

Law Faculty Scholarship

A response to Professor Steven Koh's new article on how the U.S. makes global criminal justice policy. Prof. Fidler examines what a decade of cybercrime indictments reveals about America's approach to prosecuting foreign hackers. Three things stand out: * Beyond Attribution - These indictments aren't just about naming and shaming, or about the typical dimensions of criminal alw. They're sophisticated foreign policy tools that coordinate and moderate international sanctions and global norms. * Intertwined with Cooperation - The indictments alternately create space for and slow the tempo of international cooperation on this issue, according to U.S. interests. * Power Projection …

An Integrated Study Of Instrument Performance And Scientific Yield: Evaluation Of The Grape Design, Karla Georgina Onate Melecio

Doctoral Dissertations

This dissertation presents the end-to-end development, characterization, and in-flight validation of the 3-dimensional Gamma-Ray Polarimeter Experiment (GRAPE), a wide-field-of-view (FoV) Compton polarimeter designed for high-energy astrophysics. The primary scientific motivation is to address unresolved questions in the physics of Gamma-Ray Burst (GRB) jets, for which gamma-ray polarimetry is a critical diagnostic. GRAPE is designed to measure the degree and angle of $\gamma$-ray polarization within a targeted energy band of \SIrange{50}{500}{keV} to cover the peak energy output (E$_{pk}$) of observed GRB spectra. This work establishes the instrument's scientific readiness through two principal contributions. First, the instrument's fundamental low-energy response was characterized …

Efficient Algorithms For Mitigating Uncertainty And Risk In Reinforcement Learning, Xihong Su

Doctoral Dissertations

Reinforcement learning~(RL) studies the methodologies of improving the performance of sequential decision-making for autonomous agents and has achieved remarkable success in domains such as games, robotics, autonomous systems, finance, and healthcare. The Markov Decision Process~(MDP) is a mathematical framework for modeling agent-environment interactions in sequential decision-making problems. There are two primary sources of uncertainty in RL: epistemic uncertainty and aleatoric uncertainty. In RL, risk refers to the potential for an agent's policy to lead to undesirable outcomes, especially when the environment is uncertain. In many domains, researchers seek policies that maximize the objectives while mitigating the uncertainty and risk in …

Teachers' Evaluation And Reporting Orientations And Their Impact On Elementary Students' Motivation: A Secondary Analysis Of Ecls-K: 2011 Data, Melissa L. Lefebvre

Doctoral Dissertations

Few studies examine the specific component of teacher evaluation and reporting and its relationship with student motivation. Student motivation to learn and achieve is a fundamental element of academic success in school. Motivation has been linked to educational outcomes like curiosity, persistence, learning, conceptual understanding, and long-term achievement (Vallerand et al., 1992). Diminished motivation can lead to consequences such as higher dropout rates and increased anxiety. Research indicates that classroom climate and student-teacher relationships have the most significant impact on student motivation (Jansen et al., 2022). This dissertation explores the association of teachers’ evaluation and reporting practices with student motivation. …

Focal Engine: Filling A Gap Between Game Engines And Big-Data Scientific Visualization Packages, Kindrat Beregovyi

Doctoral Dissertations

This dissertation presents Focal Engine, a novel 3D visualization engine designed to bridge the gap between game engines and scientific visualization tools. Game engines offer accessible interfaces and high-performance rendering but struggle with large-scale scientific datasets, while tools like ParaView and VTK handle complex data structures effectively but lack intuitive editing capabilities and modern rendering features. Focal Engine combines the accessibility and rendering performance of game engines with the data handling capabilities and analytical tools of scientific visualization platforms. The engine's capabilities are validated through multiple applications and projects, for example: HabiCAT 3D performs 3D complexity measurements on ocean floor …

Rapid Incorporation But Contrasting Stability Of Fertilizer Versus Litter Nitrogen In Mineral-Associated Organic Matter, Emma Bergh

Master's Theses and Capstones

Nitrogen (N) is abundant in agricultural soils during early spring due to both decomposing plant residues and initial fertilizer applications before peak crop uptake. This N is vulnerable to loss through leaching and denitrification, but a portion of this N can become stabilized in mineral-associated organic matter (MAOM). However, the short-term incorporation and long-term stability of different N sources within MAOM remain poorly understood. This study examined how fertilizer and litter derived N are incorporated and stabilized in MAOM using a three-week incubation experiment with 15N labeled fertilizer, rye root, and rye shoot additions to paired cropland and grassland soils. …

Potential Predictors Of Nonconductive Wood Column Volumes In Five Maple Species, Tanner Ryan Frost

Master's Theses and Capstones

Maple tapping guidelines rely on the understanding of nonconductive wood column (NWC) formation, but this process has only been studied in sugar maple and may be ineffective at advising producers in their tapping activities due to the variation in wounding between sites and the lack of research into alternative species more recently being brought to market. The goal of this study was to investigate sap sugar concentrations and sap yields as predictors of nonconductive wood column (NWC) volumes in five Acer species: sugar maple (Acer saccharum), red maple (Acer rubrum), silver maple (Acer saccharinum), Norway maple (Acer platanoides), and boxelder …

Underwater Remote Sensing Of Oil: Validation Testing Of A Commercial-Off-The-Shelf Acoustic Sensor For Emergency Response, Sara Jessica Berg

Master's Theses and Capstones

During an oil spill, emergency responders need to be able to estimate the thickness of oil to determine the type of recovery equipment to use and the environmental impact for natural resource damage assessment, perform a risk assessment, and generate response plans. There is an abundance of remote sensing techniques and devices that have been evaluated for use in oil spill emergency response. One that has repeatedly shown promise is active sound navigation and ranging (SONAR) system that transmits and receives acoustic signals. However, the systems that have been tested are often prototypes, not readily available during an oil spill …

Preliminary Analysis Of A Wave Energy Converter For Remote Power Generation, William Frank Pelger Ii

Master's Theses and Capstones

This thesis presents the design, development, and characterization of a free-floating Oscillating Water Column (OWC) Wave Energy Converter (WEC) created by the University of New Hampshire (UNH) Center for Sustainable Seafood Systems (CSSS) in collaboration with the United States Naval Academy (USNA) Naval Architecture and Ocean Engineering Department. The project aims to advance small-scale WEC technologies for integration into aquaculture systems along with remote military applications.The initial design and construction of the OWC was completed as a USNA senior capstone project, providing the foundation for subsequent development and testing. The OWC was tested in the UNH Jere A. Chase Ocean …

An Inter-Model Comparison Of Snow Water Equivalent In Watershed 3, Hubbard Brook Experimental Forest, For Winter 2023-2024, Ryan Reed

Master's Theses and Capstones

Estimates of snow water equivalent (SWE) are crucial for water availability and flood risk assessment due to the contribution of snow melt to increased surface runoff. However, many regions do not have observations of SWE, thus necessitating a robust method to estimate SWE for streamflow forecasting. Numerical snowpack models provide a potential way to estimate SWE in areas without observations. However, there are a multitude of snowpack models available, and they range greatly in their complexity. Even so, there have been few snowpack model intercomparisons to assess the trade-offs in model performance and complexity, and those that do exist did …

The Effects Of Graded Amounts Of Nicotinic Acid On Cow Health, Colostrum Yield And Quality Of Prepartum Multiparous Jersey Cows And Growth In Their Subsequent Calves, Lydia Joy Valentine

Master's Theses and Capstones

This study evaluated the impact of graded amounts of nicotinic acid (NA) with a negative DCAD diet on cow health, colostrum composition and calf growth performance of Jersey cattle. We hypothesized that NA supplementation would increase IgG concentration of colostrum, increase calf intestinal absorption and growth and improve cow metabolic health. Thirty multiparous Jersey cows were blocked by calving date and assigned to either 0, 8 or 16 g/d of NA supplementation on top of the -40 mEq/kg DCAD dry cow diet. Blood samples were collected weekly for ketone analysis. Urine was collected three times weekly for pH, creatinine and …

The Skepticism Of Critical Legal Studies And The Function Of Moral Discourse, Paul J. Gudel

The University of New Hampshire Law Review

No abstract provided.

Now You See It: Evaluating A Small Object Detection Model For Uncrewed Surface Vehicle Operations, Jenna Ehnot

Master's Theses and Capstones

As Uncrewed Surface Vehicle (USV) operations scale in size, distance, and complexity, they increasingly rely on artificial intelligence (AI) algorithms to maintain situational awareness, and operators must understand how algorithm performance may change as camera configuration is adjusted to meet operational needs. This thesis proposes distance-based evaluation strategies that characterize object detection performance in terms directly applicable to USV operations. In this research, a YOLOv5s model was trained to detect small maritime obstacles, focusing on aids to navigation, and the lobster pot floats common in the Gulf of Maine. Three test videos were collected, each capturing a buoy approaching the …