Digital Commons Network^™

Employing A Hysteresis Approach To Analyze Shifts In Tree Physiological Thresholds In Response To Drought, Mauro Brum, Annie Deslauriers, Matthew A. Vadeboncoeur, Tanner Frost, David Moore, Caroline Rodrigues Da Silva, Daniel B. Metcalfe, Heidi Asbjornsen

Faculty Publications

Drought‐induced tree mortality underscores the need for improved physiological models to predict tree responses to water stress. We employed a hysteresis modelling approach analyzing diel water absorption and desorption cycles to understand drought‐induced shifts in physiological thresholds. We applied this approach to sap flow (Js), stem diameter fluctuation (SDF), stem volumetric water content fluctuation (SVWCF), and vapour pressure deficit (VPD), datasets from two throughfall reduction experiments in contrasting ecosystems: a cloud forest (Peru) and a temperate forest (USA). Using a generalised transcendental equation, we quantified five diurnal hysteresis loops (Js:VPD, Js:SDF, Js:SVWCF, SDF:VPD, SVWCF:VPD) and derived hysteresis parameters (centroids, area, …

In Memoriam: Joan Leitzel, Unh's 17th President, Passes Away At 89, Keith Testa

UNH Today Archive

No abstract provided.

Family Nurse Practitioner Workforce Response To The Public Health Opioid Crisis Through Curriculum Revision, Dayle Sharp, Marcy Doyle, Michelle Capozzoli

All Materials

The opioid crisis continues to pose a critical public health challenge in the United States, demanding an adequately trained primary care workforce. In response, a Family Nurse Practitioner (FNP) program revised its curriculum to prepare students to care for individuals with Opioid Use Disorder (OUD) through a multi-pronged educational intervention. Grounded in Social Cognitive Theory, Situated Learning Theory, and Community of Practice Theory, the revised curriculum integrated a 24-hour Medication for Opioid Use Disorder (MOUD) waiver training, clinical shadowing with MOUD providers, and participation in a 10-month Project ECHO telementoring series based on SAMHSA’s Treatment Improvement Protocol (TIP) 63. Results …

“Financial Cheat Codes:” A Unh Alumnus' Guide To Financial Freedom, Tess Kujawa

Digital Edition

No abstract provided.

Carsey School Of Public Policy 2024-2025 Annual Review, Laurel Lloyd

Carsey Publications

This review shares 2024-2025 highlights of the Carsey School of Public Policy's academic programs and centers; milestones of its students, faculty, fellows, alumni, and staff; and much more.

Assessing The Threat Of Southern Pine Beetle To Pitch Pine In Acadia National Park, Caroline R. Kanaskie, Mark J. Ducey, Jeff R. Garnas

Faculty Publications

Many of the mountain summits of Acadia National Park (ACAD) are dominated by Pinus rigida (Pitch Pine). The ACAD Pitch Pine population is particularly valuable due to its position at the northernmost edge of the species’ range, its association with unique animal and plant communities, and its contribution to the aesthetics of the park. Pitch Pine is host to Dendroctonus frontalis (Southern Pine Beetle [SPB]). As the name suggests, SPB is native to the southeastern US, and can kill large numbers of healthy pines via mass-attack. With warming winters, SPB can establish and persist further north than ever before, presenting …

2026 Sullivan County 4-H Presents, Lynn Brewer

UNH Cooperative Extension

No abstract provided.

Sc 4-H Presents Information Packet, Lynn Brewer

UNH Cooperative Extension

No abstract provided.

Sullivan County 4-H Presents! 2026, Lynn Brewer

UNH Cooperative Extension

No abstract provided.

Super Bowl Lx: How Have Analytics Helped The Patriots? A Unh Expert Weighs In, Aaron Sanborn

UNH Today Archive

No abstract provided.

Belknap And Carroll Counties 4-H Presents Event Packet 2026, Mikayla Cerney

UNH Cooperative Extension

No abstract provided.

Optimal Placement Of Electric Vehicle Chargers: A Mixed-Integer Linear Programming Model, Joubin Zahiri Khameneh, Emmanuel Fagbenle

Faculty Publications

Electric vehicle adoption is growing, but New Hampshire lags in public charging infrastructure, especially in rural areas. This gap increases range anxiety and economic inefficiencies. In this study, we developed a mixed-integer linear programming (MILP) model to optimally locate new electric vehicle chargers statewide, maximizing coverage and equity under budget constraints. The model includes geographic coverage requirements, population-weighted equity, capacity limits, and a $28 million budget. Moreover, the model recommends 855 Level 2 chargers and 149 Direct Current Fast Chargers (DCFCs) across 247 ZIP Codes, nearly doubling public charging capacity and achieving 98.8% coverage within defined service radii. The plan …

Seeing Success Through Functional Vision: Screening, Education, And Intervention Within Mtss For Kindergarten Students, Falynne Marie Rzezuski

OTD Capstones

Visual skills are essential for participation in early academic tasks including reading, writing, classroom engagement, and learning. However, functional vision difficulties often go unrecognized in kindergarten students, potentially affecting their academic performance and ability to learn within educational settings. The purpose of this capstone project was to develop and pilot a functional vision screening tool and program using a multi-tiered system of supports (MTSS) framework for kindergarten students. A literature review informed the development of the project, including the creation of the functional visual screening tool, integration within MTSS, Tier 1 and Tier 2 interventions, and educational resources for educators …

Computationally Modelling Nmda Blockages Within A Neural Network, Anya Raetsch

UNH URC Open (2026 and after)

The N-Methyl-D-Aspartate (NMDA) Receptor is fundamentally important to memory formation within the brain due to its control of calcium entry into the cell.  In recent years, there has been an increased interest in long-term effects of NMDA blockages on the brain, due to the “re-wiring” of communication channels (synapses) between neurons. This project models the effects of NMDA blockages due to drugs such as Ketamine, and how the blocking of NMDA receptors affects firing rates, which can then be applied to studying long-term plasticity within the neural hierarchies. Using the Nest Online Simulator, a 50x50 grid of neurons was created …

Students For The Exploration And Development Of Space (Seds) Air Brake Subsystem: High-Altitude Autonomous Apogee Modulator System For High-Powered Rockets (Haamshr), Camden J. Maclean, Matthew Wharton, Nick Revis, Colin Guido

Honors Theses and Capstones

The objective of this project was to research, design, fabricate, and analyze an autonomous apogee modulation air brake system for the University of New Hampshire (UNH) Students for Exploration and Development of Space (SEDS) high-powered rocket as competitors in the Friends of Amateur Rocketry – Oxidizers Uninhibited Tournament (FAR-OUT) competition.

This air brake system would be developed with considerations for full autonomy, structural reliability, and repeatable deployment. The design would also be easily integrated into the existing high-powered rocket airframe and mechanically simple to increase reliability and practical functionality. The final design would be evaluated using finite element analysis simulation …

Below The Rows, Beyond The Roots: An Art Exhibition Depicting Agriculture Across The Globe, Maggie Enoch

Honors Theses and Capstones

In Below the Rows, Beyond the Roots, artist Maggie Enoch creates multimedia works inspired by her exposure to diverse agricultural systems and perspectives while studying geography and sustainable agriculture/food systems around the world. By integrating complex histories with the contemporary realities of farming, Maggie paints vivid pictures of the power of food in this five-piece exhibition.

Blens: Biomedical Literature Extraction And Scoring System, Tyler J. Simone

Honors Theses and Capstones

Systematic reviews and meta-analyses represent the gold standard for evidence synthesis in healthcare, yet their manual execution remains labor-intensive, time-consuming, and vulnerable to human bias. With the exponential growth of biomedical literature, traditional literature screening and analysis has become increasingly unstable and noncomprehensive. This thesis presents the development and validation of an automate literature gathering and review system that integrates multiple scientific databases through a unified desktop application. The platform combines APIs from PubMed (NCBI Entrez), ClinicalTrials.gov, bioRxiv and medRxiv to enable simultaneous, standardized searching across peerreviewed and preprint sources. Built in Python with a PySide6 graphical interface, this standalone …

Zero-Shot Segmentation Of Estuary Mudflats Using The Segment Anything Model, Jaren Unzen

Honors Theses and Capstones

Estuary mudflats are ecologically sensitive environments that require consistent monitoring. Traditional satellite-based classification workflows are often constrained by the high cost and labor-intensive nature of manual data annotation. This study evaluates the utility of Segment Anything Model 3 (SAM 3), a foundational computer vision model, to automate mudflat segmentation without domain-specific fine-tuning. By leveraging the model’s text-prompting capabilities alongside specialized pre- and post-processing techniques, we generated segmentation masks in a zero-shot framework. Our approach achieved an F1- score of 0.51, demonstrating the inherent challenges of spectrally complex coastal features. Despite this, the results highlight a promising pathway for adapting large-scale …

Investigating A Nanoparticle-Assisted Approach For Localized Strain Engineering In Two-Dimensional Materials, Skye Martichuski

Honors Theses and Capstones

This work investigated a fabrication strategy for inducing localized nanoscale deformation and strain in transferred MoS2 flakes using gold nanoparticle-coated substrates as a potential platform for strain engineering in two-dimensional materials. Substrate type, nanoparticle concentration, drying conditions, cleaning procedures, and flake transfer methods were investigated using optical microscopy and atomic force microscopy (AFM). Au-coated SiO2 substrates produced improved nanoparticle coverage compared to bare SiO2, while passive air drying yielded the most favorable nanoparticle distributions. Salt crystals introduced during passive drying were successfully removed with a gentle deionized water rinse, and a 50% diluted gold nanoparticle suspension provided improved particle spacing …

2025 U.S. Globe Partner Yearbook, Globe U.S. Coordination Office

Partner Yearbooks

No abstract provided.

Hyena: An Observing System Simulation Experiment For Hypothetical Energetic Neutral Atom Imagers, Joel Tibbetts, Amy Keesee, Matina Gkioulidou, Robert Demajistre, Viacheslav Merkin

Faculty Publications

Mesoscale plasma sheet flows are widely understood to be a critical component of the overall picture of energy, particle, and magnetic flux transport during periods of geomagnetic activity. Without simultaneous measurements with true global coverage, the short lifetime (~10 min) and localized spatial extents (~1–3 R_E in azimuth) of these structures make obtaining a global picture of their contributions to stormtime magnetosphere dynamics difficult to characterize. Energetic neutral atom (ENA) imaging can enable remote mapping of plasma energization in the magnetosphere; however, its line-of-sight integrated nature, coupled with the challenging-to-characterize attributes of the target physical phenomena, means that numerous …

Reframing Coral Reef Monitoring With Machine Learning And Remote Sensing: Detection, Classification, And Change, Gabrielle Ann Trudeau

Doctoral Dissertations

Coral reefs are vital ecosystems facing rapid decline from climate-driven stressors, yet existing monitoring approaches lack the spatial coverage and temporal resolution needed to capture ecosystem dynamics at meaningful scales. This thesis develops a scalable, integrated remote sensing framework by combining ICESat-2 LiDAR, multispectral imagery, and machine learning to move beyond static habitat maps toward quantitative, multi-factor characterization of reef structure and change. First, machine learning models were applied to ICESat-2-derived rugosity, slope, and bathymetric metrics to detect and delineate coral reef habitats at large scales. Next, a novel nonlinear spectral unmixing approach integrating Planet imagery and ICESat-2 terrain metrics …

The Long And Short Of It: Exploring The Essential Dynamics Of Select Geophysical Flows, Adhithiya Sivakumar

Doctoral Dissertations

Geophysical flows are central to important climatological processes, yet their strong turbulence and additional complexities -- density stratification, wave-current interaction, and phase change -- make analytical prediction and direct numerical simulation infeasible in many regimes. This dissertation adopts a reductionist approach in which simplified representations -- often inspired by observed scale disparities -- are utilized to isolate and investigate the organizing mechanisms of these complex flows. Within this framework, three distinct but thematically connected problems are studied.

We first study Langmuir turbulence in the open ocean, in which surface gravity waves interact with wind-driven currents to organize the mixed layer …

Analysis Of The Complex Nmr Lineshape Of Polarized Deuterons, Michael Joseph Mcclellan

Doctoral Dissertations

To determine the spin polarization of deuterons, nuclear magnetic resonance (NMR) is used. This is necessary for polarized targets, such as for the upcoming $A_{zz}$ and $b_{1}$ experiment at Jefferson Lab. These polarized target experiments are expected to discriminate between different models of the deuteron, which in turn could lead to a better understanding of short-range correlations (SRCs). NMR measures the impedance of a solenoid around a deuterated sample. Although the impedance is a complex value, conventionally only the real part of the impedance has been used for this purpose. However, often the tune is not precisely real, meaning the …

Workshop Outcomes Report: 2nd International Workshop On Seismic Resilience Of Arctic Infrastructure And Social Systems, Majid Ghayoomi, Daniela Morganti

Faculty Publications

The report provides an overview of the second international workshop on Seismic Resilience of Arctic Infrastructure and Social Systems. The report discusses agenda, workshop activities, interdisciplinary working groups, and results. It ends with several strategic questions and investigation plans that were developed as part of the workshop activities.

Analyzing A Benchtop Model Of Combined Heat Power To An Industrial Scale, Chase Steven Carlton, Ashley Leach, Andrew Martin-Biggs, Tessa Wilker

UNH URC Open (2026 and after)

Analyzing a Benchtop Model of Combined Heat Power to an Industrial Scale

Template For A Lab/Group/Team Manual, University Of New Hampshire (Unh) Responsible Conduct Of Research & Scholarly Activity (Rcr) Committee

Integrity in Research and Scholarship

Lab/group/team manuals or handbooks are becoming more common in academic research settings as the research environment grows in complexity. Explaining in writing expectations for how a research group operates as well as providing resources for group members can be invaluable.

The University of New Hampshire (UNH) Responsible Conduct of Research & Scholarly Activity (RCR) Committee developed these templates to help researchers convey important and useful information to their research groups in a consistent manner. Each Principal Investigator (PI) and research group can choose the preferred version template (abbreviated or long) and customize the information to address topics relevant for their …

Water Resource Protection Principles And Strategies, Julia Peterson

UNH Cooperative Extension

No abstract provided.

Stormwater Best Management Practices, Kat Kelleher

UNH Cooperative Extension

No abstract provided.

Selecting Plants And Informational Resources, Kat Kelleher

UNH Cooperative Extension

Considerations that go into plant selection on a site when thinking about creating resilient spaces that are able to provide more than one function.