Digital Commons Network^™

History Of Wesleyan Hall, Susan Guttery

Documents

History of Wesleyan Hall

Electronic Health Record Alerts To Improve Lipid Lowering After A Recent Myocardial Infarction, Dean G. Karalis, Benjamin Richter, Scott Hessen, Patrick Moeller, Laney K. Jones

Division of Cardiology Faculty Papers

BACKGROUND: This observational, quality initiative evaluated the impact of changing from a passive (dismissible) to an active (nondismissible without action) electronic health record alert on guideline-recommended lipid-lowering therapy (LLT) prescriptions in patients with recent myocardial infarction at risk for secondary events.

METHODS: We sequentially recruited a retrospective passive-alert (February 2018-July 2019; n=733) and a prospective active-alert (August 2020-January 2022; n=587) cohort of patients who triggered an alert to intensify LLT or order a low-density lipoprotein-cholesterol (LDL-C) test if they had a recent myocardial infarction (within 12 months) and elevated (≥70 mg/dL) or missing LDL-C. Prescribed LLTs and cumulative percentages of …

Junk Journaling For Graphic Designers: Analog Play & Process In An Increasingly Digital Design Landscape, Kristina Rosgen

University Honors Theses

This thesis explores junk journaling as an accessible analog practice for young graphic designers experiencing digital fatigue, creative stress, and perfectionism. Through historical research, a hands-on workshop, and an interactive Readymag website, the project shows how junk journaling can help designers reconnect with play, process, physical materials, and the joy of making.

06-16-26 Bor Hsc Committee Meeting Agenda, Patricia Serna

HSC Committee (A subcommittee of the UNM Board of Regents)

06-16-26 BOR HSC Committee Meeting Agenda

06-16-26 Bor Hsc Committee Meeting Agenda Revised, Patricia Serna

HSC Committee (A subcommittee of the UNM Board of Regents)

06-16-26 BOR HSC Committee Meeting Agenda Revised

06-16-26 Bor Hsc Committee Meeting Minutes, Patricia Serna

HSC Committee (A subcommittee of the UNM Board of Regents)

06-16-26 BOR HSC Committee Meeting Minutes

Development And Standardization Of Teds Actuator Templates Under Ieee 1451 Framework, Jim Kang

Theses and Dissertations

The IEEE 1451 standard is a family of standards that defines a framework for smart transducers, including both sensors and actuators, to support consistent, interoperable, and cost-effective integration across diverse applications. However, the current IEEE 1451.4 standard templates only define the method for encoding Transducer Electronic Data Sheet (TEDS) information for a broad range of sensor types and applications; they do not address actuator TEDS. Specific types of sensors and actuators are being developed to assess underground environmental conditions in cold regions with widespread permafrost. Evaluating subsurface conditions before construction can help prevent high construction expenses for structures built on …

Implementation Of A Standardized Adverse Childhood Experiences Screening Process In A Primary Care Clinic, Tanya M. Wonnacott

Doctoral Dissertations & Projects

Adverse Childhood Experiences (ACEs) are associated with increased risks of chronic disease, mental health disorders, substance use disorders, and premature mortality. Despite growing evidence supporting ACE screening, it remains inconsistent in many primary care settings, particularly among underserved populations. The purpose of this quality improvement project was to evaluate whether implementation of a standardized ACE screening workflow increased ACE screening completion and behavioral health referral within a nonprofit primary care clinic serving uninsured, underinsured, and refugee populations.

This project utilized a pre–post quality improvement design guided by Lewin’s Change Management Model and the Chronic Care Model. Interventions included standardized ACE …

A Living Curiosity: Storytelling As An Invitation To Wonder, Jackson Visscher, David Wibowo

Student Work

"By pairing powerful footage with real-life testimonies, filmmakers can encourage reflection and deeper questions."

Posting about filmmaking that inspires wonder from In All Things, an online hub that offers insight into maintaining and faithful and orthodox  Reformed Christian worldview while fearlessly engaging in  every aspect of contemporary life – until all is made new.

A Living Curiosity

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 …

Ep 64 - Operation No Noro: A Multidisciplinary Approach To Containing A Norovirus Outbreak In An Inpatient Rehabilitation Unit, Donika Marko, Roula Hilli, Priscila Bercea, Pamela S. Bozigar, Levi Launder, Stephanie Robertson, Trini A. Mathew

Conference Presentation Abstracts

Norovirus is a highly contagious viral gastroenteritis and can rapidly spread in healthcare settings, particularly in congregate environments such as inpatient rehabilitation units. In March 2025, a cluster of acute gastrointestinal illness was identified on a 34-bed inpatient rehabilitation unit within a 150-bed acute care hospital. Eight patients developed: • Nausea • Vomiting • Diarrhea • Abdominal pain Due to shared spaces, communal therapy activities, and high patient interaction, rapid intervention was initiated to prevent further spread.

Reproducing And Analyzing The “Lost In The Middle” And “The Power Of Noise” Phenomenon In Retrieval-Augmented Generation, Kousik Samanta

Master’s Dissertations

Retrieval-Augmented Generation has become the way to improve Large Language Models. They help with problems like knowledge and hallucinations. Recent studies show that these models still have limitations. One big problem is the “Lost in the Middle” phenomenon. Models can’t access information in the middle of contexts properly. Another counterintuitive observation is the “Power of Noise” paradigm, which suggests adding unrelated documents can actually make the generation better. We know these happen in extractive QA tasks, but we don’t know if they happen in tasks that need complex reasoning. This dissertation looks into how position and noise affect Long-Form Question …

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 …

Adaptive Spectral Trust Gate For Physics- Constrained Operator Learning, Soham Chakraborty

Master’s Dissertations

Physics-informed machine learning improves the plausibility, data-efficiency and generalization of surrogate models by injecting prior physical knowledge into the learning process. The current approaches can be broadly divided into two main categories: soft constraints, which add a physics residual to the training loss but guarantee nothing at inference time, and hard constraints, which project the model output onto the constraint set exactly but apply the projection uniformly to every part of the signal — including parts that are dominated by noise, discretization error, or model mismatch, where the idealized physics is not actually trustworthy. This dissertation proposes the Adaptive Spectral …

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 …

Cover And Contents

Turkish Journal of Physics

No abstract provided.

Direct Minimization Of Hartree-Fock-Roothaan Energy Functionals Using Derivative-Free Optimization Algorithms: A Case Study On The Use Of Noninteger Slater-Type Orbitals, Ali̇ Bağci

Turkish Journal of Physics

This study presents an evaluation of derivative-free optimization algorithms for the direct minimization of Hartree−Fock−Roothaan energy functionals involving nonlinear orbital parameters and noninteger-order quantum numbers. The analysis focuses on atomic calculations employing noninteger Slater-type orbitals. Analytic derivatives of the energy functional are not readily available for these orbitals. Four methods are investigated under identical numerical conditions: Powell’s conjugate−direction method, the Nelder−Mead simplex algorithm, coordinate-based pattern search, and a model-based algorithm utilizing radial basis functions for surrogate-model construction. Performance analysis is first carried out using the Powell singular function, a well-established test case exhibiting challenging properties, including Hessian singularity at the …

Usa V. David Loveings

2026 Decisions

USDC for the Western District of Pennsylvania

Usa V. Brian Burrows

2026 Decisions

USDC for the Eastern District of Pennsylvania

Antioxidant Potential Of A Non-Heme Iron Complex: Mitigating H2O2-Induced Cellular Damage, Magy A. Mekhail, David M. Freire, Cameron Bowers, Grant Elam, Nora Del Bosque, Hannah K. Pyle, Sarah K. Dunn, Spencer Lanyon, Timothy J. Hubin, Giridhar Akkaraju, Kayla N. Green

Biology, Chemistry, and Environmental Sciences Faculty Articles and Research

Iron complexes with antioxidant activity have garnered significant interest for both general and medical applications, yet few studies have yielded functional nonheme iron-based mimics for H₂O₂ mitigation in aqueous environments. Here, we investigate water-soluble nonheme iron complexes derived from 12-membered pyridinophanes (^CF₃PyN₃, PyN₃, ^NMe₂PyN₃, and Py₂N₂) to evaluate the impact of ligand scaffolds on H₂O₂ decomposition activity both in vitro and in a cellular model. Speciation and kinetic analyses reveal that both electronic and geometric modulation of the macrocyclic …

Powerful Solar Storms May Change Weather Patterns Across North America, Rebecca Irelan

UNH Today Archive

No abstract provided.

Pancreatitis Risk Genes Play A Major Role In Pediatric Pancreatitis: Insights From The International Study Group Of Pediatric Pancreatitis: In Search For A Cure, Maisam Abu-El-Haija, Wenying Zhang, Fuchenchu Wang, Gretchen Cress, Brian Dawson, Xiaoping Su, Tyler Thompson, Nicole Kotha, Ankur Chugh, Reuven Zev Cohen, Elissa M Downs, Douglas S Fishman, A Jay Freeman, Cheryl E Gariepy, Matthew J Giefer, Tanja Y Gonska, Phil Greer, Amit S Grover, Andrew Y J Liman, Douglas Lindblad, Quin Y Liu, Asim Maqbool, Jacob A Mark, Brian A Mcferron, Megha S Mehta, Veronique D Morinville, Kenneth Ng, Robert A Noel, Chee Y Ooi, Emily R Perito, Michael Wilschanski, Yuhua Zheng, Ying Yuan, David C Whitcomb, Aliye Uc, Mark Lowe, Consortium For The Study Of Chronic Pancreatitis, Diabetes, And Pancreatic Cancer (Cpdpc)

Faculty, Staff and Students Publications

Background & aims: Clinical data show that genetic variants are significant risk factors for acute recurrent pancreatitis and chronic pancreatitis. To expand the understanding of the role of genetics in acute recurrent pancreatitis and chronic pancreatitis, high-throughput next-generation sequencing of 14 genes was completed in a multicenter pediatric cohort.

Methods: A cross-sectional study involving 944 pediatric patients with acute recurrent pancreatitis or chronic pancreatitis was conducted. CASR, CEL, CFTR, CLDN2, CPA1, CTRC, GGT1, PRSS1, PRSS2, PRSS3, SBDS, SLC26A9, SPINK1, and UBR1 were sequenced. The frequencies of identified variants were compared with frequencies in the genome aggregation database. Group differences were …

Todd Walker's Legacy Bridges Decades Thanks To Teammate Award, Keith Testa

UNH Today Archive

No abstract provided.

Easton White Contributes To The Un’S World Ocean Assessment, Mark Wanner

UNH Today Archive

No abstract provided.

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

UNH Today Archive

No abstract provided.

From Centrality To Sustainability: How Connected Boards Shape Waste Management Outcomes, Irfan Haider Shakri, Anh Tuan Nguyen, Fnu Pratima

Faculty Publications

The escalating climate crisis has elevated waste management from an operational concern to a critical issue of corporate governance. However, the role of board connectedness in shaping firms' waste practices remains largely unexplored. Drawing on resource dependency and social capital theories, this study examines how board network centrality influences waste management practices. Employing pooled OLS on 4948 firm- year observations from US- listed firms during 2004–2023, we find that higher board connectedness leads to a significant reduction in waste generation. Economically, a one standard deviation increase in DEGREE centrality is associated with a 3.4% decrease in total waste generation. Our …

Always By The Seaside, Tony Gudkov

Intertidal

No abstract provided.

Analytical Eigenmode Framework For Triplet-Mediated Fluorescence Dynamics Under Pulsed Excitation, Bariş Demi̇rbay

Turkish Journal of Physics

An exact analytical solution to a three-state photophysical model is presented to explicitly map the time-resolved fluorescence dynamics of a fluorophore under pulsed excitation. As distinct from earlier analytical treatments that primarily focused on transient absorption and total ground-state depletion, the proposed eigenvalue-eigenvector framework captures both transient and steady-state emission responses. The photophysical model accounts for electronic transitions between the singlet ground state, the excited singlet state and a long-lived triplet state, enabling a treatment of excitation, radiative decay, intersystem crossing, together with triplet-state relaxation. By diagonalizing the rate matrix consisting of phenomenological transition rates, closed-form expressions for the time-dependent …