Digital Commons Network^™

2026 Nh 4 H Qualifying And Entry For Ese, Hannah Majewski

UNH Cooperative Extension

No abstract provided.

Environmental Protection In War: Beyond Humans And Nature, Alexandra Huneeus, Pablo Rueda-Saiz

Articles

War is not just a human tragedy-it is an environmental catastrophe. Across the globe, armed conflicts leave behind oil-slickened rivers, poisoned soils, and forests reduced to barren landscapes. These harms last for generations, but they are not borne equally. The peoples who live most intimately with the land-drawing from it food, water, culture, and identity-suffer the most enduring losses. Their very existence as a people may be put at risk.

This Article asks: How have the laws of war addressed environmental destruction, and, more specifically, what protection do they afford to communities whose very existence is bound to the places …

Gerd Mastery For The Advanced Practice Provider: A Train-The Trainer Program, Gwen M. Cassidy

Yale School of Nursing Digital Theses

AbstractGERD Mastery for the Advanced Practice Provider: A Train-The Trainer Program

Background: This Doctor of Nursing Practice (DNP) project addressed a specialty-care gap in gastroenterology driven by the projected U.S. shortage of ~1,630 gastroenterology physicians. Gastroesophageal reflux disease (GERD) has a high prevalence and cost burden as is, but delayed treatment can further increase costs (Barrett’s esophagus ~$8,755/year; esophageal adenocarcinoma ~$146,391/year) and patient morbidity.

Purpose: To develop and implement “GERD Mastery for the Advanced Practice Provider,” an evidence-based train-the-trainer (TTT) program to increase guideline-concordant GERD knowledge and train others. Methods: In partnership with a national organization, a Plan–Do–Study–Act framework guided …

Untrained Position-Encoded Multilayer Perceptron Network For Structured Illumination Microscopy Reconstruction, Sahil Sharma, Leonidas Zimianitis, Krishnendu Samanta, Balpreet Singh Ahluwalia, Joby Joseph, Dushan N. Wadduwage

Computer Science Faculty Publications

Structured Illumination Microscopy (SIM) enables super-resolution imaging by encoding high-frequency spatial information through patterned light. While traditional Fourier-based reconstruction methods are prone to artifacts under suboptimal conditions, recent deep learning approaches often require large training datasets and lack adaptability across different imaging setups. In this work, we present Position Encoded Multi-Layer Perceptron (PEM) network that leverages implicit neural representations (INRs) and SIM forward-model-driven modeling to reconstruct super-resolved images without any training data. PEM-SIM represents each spatial coordinate as a combination of sinusoidal functions across multiple frequencies, enabling rich encoding of fine spatial detail. A forward model grounded in SIM image …

Integration Of Hybrid Quantum-Neuromorphic Ai With Cloud, Edge, And High-Performance Computing Environments, Arun B. Prasad, Ajay Prasad, Dineshkumar Rajendran, Anurag Tiwari, T. Akilan, Islombek Khushvaktov

Computer Science Faculty Publications

The convergence of quantum computing, neuromorphic learning, and distributed cloud infrastructures has occurred very rapidly, and intelligent systems are now providing new opportunities, but the challenge of instability, complexity of orchestration, and noise sensitivity remains in the way of practical integration. The proposed work is based on a hybrid quantum and neuromorphic architecture, which is the integration of event-based neuromorphic adaptation and quantum-assisted global optimization, orchestrated by cloud-HPC. The architecture presents the thermodynamically regularized learning and resourceful task scheduling to the probabilistic search and the continuous local adaptation. Experimental evaluation across financial modeling, medical imaging, and physical system prediction shows …

Towards Supporting Real-Time Estimation Of Vehicle Fuel Consumption And Co2 Emissions In Smart City Applications, Abrar Alali, Stephan Olariu

Computer Science Faculty Publications

This paper evaluates a simplified physics-based energy demand model designed to estimate vehicle fuel consumption and CO₂ emissions—a critical tool for sustainable transportation planning and smart city applications. Unlike data-driven regression models that lack generalizability for user-defined conditions or complex physics-based approaches that rely on extensive, often proprietary data, the simplified model is distinguished by its minimal parameter requirements, depending primarily on a single, overarching powertrain efficiency value. A key contribution is the comprehensive empirical evaluation of the simplified model against official Environmental Protection Agency (EPA) test data across multiple driving cycles and vehicle types, providing a rigorous validation previously …

Contextual Scaffolding And Self-Efficacy: Supporting Computer Skill Development Among Blind Learners In India, Akshay Kolgar Nayak, Yash Prakash, Sampath Jayarathna, Hae-Na Lee, Vikas Ashok

Computer Science Faculty Publications

Inclusive computer literacy education efforts, broadening the participation of blind or visually impaired (BVI) individuals, have gained traction in recent years. Existing literature investigating these efforts primarily draws evidence from affluent Global North contexts, where accessibility resources and legal frameworks are relatively more mature. Little is known about the in-situ teaching and learning challenges faced by trainers and BVI students, respectively, in resource-constrained, multicultural Global South countries like India. To address this knowledge gap, we conducted a four-month contextual inquiry at two computer training centers catering to 94 BVI students in India. We notably observed a rigid, experience-driven training environment …

Open Scholarly Information Systems: Status Quo, Challenges, Opportunities, Hannah Bast, Guillaume Cabanac, Paolo Manghi, Jian Wu, Marcel R. Ackermann

Computer Science Faculty Publications

Over the past 30 years, a rich ecosystem of scholarly information systems has developed that openly provide their services to the scientific community. These systems include aggregators of bibliographic metadata (e.g., DBLP, OpenCitations, OpenAIRE Graph, OpenAlex, ORKG, Semantic Scholar, CiteSeerX, and CORE); publication, data, and software repositories (e.g., Arxiv.org, Figshare, Zenodo, Software Heritage, and Dataverse); and PID authorities (e.g., ORCID, ROR, Crossref, and DataCite). This interdisciplinary Dagstuhl Seminar "Open Scholarly Information Systems: Status Quo, Challenges, Opportunities" (25381) was the first of its kind to bring together practitioners from this ecosystem, as well as researchers investigating related questions or relying on …

Finding The Signal In The Noise: An Exploratory Study On Assessing The Effectiveness Of Ai And Accessibility Forums For Blind Users' Support Needs, Satwik Ram Kodandaram, Jiawei Zhou, Xiaojun Bi, Iv Ramakrishnan, Vikas Ashok

Computer Science Faculty Publications

Accessibility forums and, more recently, generative AI tools have become vital resources for blind users seeking solutions to computer-interaction issues and learning about new assistive technologies, screen reader features, tutorials, and software updates. Understanding user experiences with these resources is essential for identifying and addressing persistent support gaps. Towards this, we interviewed 14 blind users who regularly engage with forums and GenAI tools. Findings revealed that forums often overwhelm users with multiple overlapping topics, redundant or irrelevant content, and fragmented responses that must be mentally pieced together, increasing cognitive load. GenAI tools, while offering more direct assistance, introduce new barriers …

Explainable Convolutional Neural Network Model Provides An Alternative Genome-Wide Association Perspective On Mutations In Sars-Cov-2, Parisa C. Hatami, Richard Annan, Luis Miranda, Jane L. Gorman, Mengjun Xie, Letu Qingge, Hong Qin

Computer Science Faculty Publications

Identifying informative genomic features in SARS-CoV-2 can help clarify patterns of viral evolution. In this study, we developed an explainable convolutional neural network (CNN) model to classify SARS-CoV-2 genomic sequences into the WHO-designated Variants of Concern (VOCs), Alpha, Beta, Gamma, Delta, and Omicron. Using a balanced dataset of genomes, the classification CNN achieved 99.96% accuracy on the held-out test set. To interpret the model’s predictions, we applied SHapley Additive exPlanations (SHAP) to estimate the contribution of each nucleotide position to VOC-label prediction and compared aggregated attributions with a chi-square GWAS baseline applied to the same categorical labels. SHAP prioritized several …

A Comparative Analysis Of Explainable Ai (Xai) Techniques For Transparent And Reliable Image Classification, Sovon Chakraborty, Shakib Mahmud Dipto, Kevin R. Pilkiewicz, Michael L. Mayo, Pratip Rana

Computer Science Faculty Publications

Evaluating the trustworthiness of black-box machine learning models remains a significant methodological challenge. Their lack of transparency and interpretability limits applicability, because stakeholders often seek transparency before trusting the results of black-box machine learning models. Explainable AI (XAI) methods provide for human-understandable justifications and informed decision-making of these black-box architectures. Therefore, it is imperative to select the proper XAI model tailored to specific tasks. In this research, we focus on examining four XAI techniques: PEEK, LRP, GRAD-CAM, and LIME to understand how they perform against each other for image classification tasks. We evaluate the performance, robustness, generalizability, noise stability, and …

Guidelines For Automatic Grading Of Student Essays Using Large Language Models, Diwakar Yalpi, Sruta Keerti Kasula, Ravi Mukkamala

Computer Science Faculty Publications

Automated essay evaluation using large language models (LLMs) has emerged as a promising approach to support scalable and consistent educational assessment. However, the effectiveness of LLM-based grading varies significantly across evaluation dimensions and is highly influenced by prompt design and model selection. In this study, we evaluate five state-of-the-art LLMs across five rubric-based categories: Relevance to Question, Reasoning and Critical Thinking, Evidence and Examples, Organization, and Clarity and Writing Quality. We systematically investigate the impact of three prompting strategies, including rubric-only prompting, exemplar-based prompting (with and without rubric guidance)(Original and Refined prompt designs) incorporating structured instructions. Additionally, a prompt ablation …

Memebuddy: Dialog-Style Audio Representations For Engaging Non-Visual Meme Experiences, Chirag Bhansali, Vikas Ashok, Hae-Na Lee

Computer Science Faculty Publications

Image memes are a pervasive form of online communication, widely used to convey humor, opinions, and cultural references. Prior work has explored making memes accessible to blind users, primarily through auto-generated descriptive captions. While these approaches improve comprehensibility and sometimes incorporate prosodic or emotional cues, they often fail to capture the humor, narrative structure, and contextual nuances that make memes engaging. We present MemeBuddy, a system that models memes as dialog, generating structured, multi-turn audio representations using role-based speakers. MemeBuddy reinterprets a meme as a conversation between two speakers, integrating extracted meme text with contextual knowledge implicitly inferred by a …

A Survey On Generative Ai For Detector Effects Unfolding In Particle And Nuclear Physics, Tareq Alghamdi, Tommaso Vittorini, Jitao Xu, Marco Battaglieri, Derek I. Glazier, Glòria Montaña, Giorgio Foti, Alessandro Pilloni, Nobuo Sato, Yaohang Li

Computer Science Faculty Publications

In particle and nuclear physics, “detector effects unfolding” can be viewed as a highdimensional inverse problem whose goal is to recover the true event distributions from observed experimental data corrupted by detector-induced distortions. Recent advances in generative AI have positioned data-driven and machine learning-based approaches as powerful alternatives to traditional unfolding techniques, offering superior scalability to high-dimensional data, capability of learning complex detector responses, and the ability to operate directly at the event level. We survey state-of the-art generative AI-based models for detector folding and unfolding. We review existing architectures and training strategies, and highlight recent methodological advances and open …

Replicatorbench: Benchmarking Llm Agents For Replicability In Social And Behavioral Sciences, Bang Nguyen, Dominik Soós, Qian Ma, Rochana R. Obadage, Zack Ranjan, Sai Koneru, Timothy M. Errington, Shakhlo Nematova, Sarah Rajtmajer, Jian Wu, Meng Jiang

Computer Science Faculty Publications

The literature has witnessed an emerging interest in developing and evaluating AI agents for automated assessment of research claims in scientific papers. Existing benchmarks focus primarily on the computational aspect of this task, testing agents' ability to reproduce or replicate research outcomes when having access to the code and data. This setting, while foundational, (1) fails to capture the inconsistent availability of new data for replication as opposed to reproduction, and (2) lacks ground-truth diversity by focusing exclusively on fully reproducible or replicable papers, thereby failing to evaluate an agent's ability to identify non-replicable research. Furthermore, most benchmarks only evaluate …

A Quantum Walk Through Sustainability: Nonlinear Thinking For A Nonlinear World, Sanjay Wahal

Trade & Scholarly Monographs

We are living through a planetary inflection point. Conventional sustainability thinking-rooted in linear logic, siloed disciplines, and incremental fixes-no longer suffices. The climate crisis is nonlinear. Our response must be as well.

In this book, Dr. Sanjay Wahal, global systems strategist and founder of Decarbonization, LLC, delivers a visionary, paradigm-shifting framework that draws inspiration from quantum theory to reimagine how we think, act, and lead for climate action.

This is not a book about quick fixes or silver bullets. It is a meditation on coherence, emergence, and transformation. It is for those who believe sustainability is not just a policy …

The Influence Of Scale In Modeling Social Vulnerability And Disaster Assistance, Sina Razzaghi Asl, Oronde Drakes, Eric Tate, Samuel Brody, Wesley Highfield, Kayode Atoba

Political Science & Geography Faculty Publications

Understanding how social vulnerability relates to disaster impacts is critical for addressing social equity, yet the role of spatial scale in this relationship is often overlooked. Most studies use aggregated data, risking ecological fallacy-misinterpreting individual outcomes from group-level data. This study examines how spatial scale influences the relationship between social vulnerability and federal disaster assistance after Hurricane Harvey. Using spatial econometric models at both household and census tract levels, we assessed the strength of key vulnerability indicators in explaining disaster assistance. Results show that disability, housing tenure, household size, and income predict assistance at the household level, but their influence …

Toward Neurosymbolic Reinforcement Learning Via Editable Specifications, Vedant Khandelwal, Hong Yung Yip, Amit Sheth

Publications

Reinforcement learning systems are commonly adapted to new settings by retraining or fine-tuning policies. This default is costly, difficult to audit, and poorly aligned with structured requirement changes such as revised safety rules, new operational constraints, or updated user preferences. We argue for an alternative abstraction: adaptation via edits to an external, human-readable specification that the agent consults at execution time. We propose conditioning decision-making on an editable knowledge graph encoding (i) rules capturing action applicability and high-level effects, (ii) hard constraints defining feasibility, and (iii) soft preferences shaping tradeoffs among feasible behaviors. Requirement changes become graph edits, not policy …

Presence Of Legacy And Emerging Pfas In Human Liver Specimens Banked In The United States From 2000 To 2024, Juliana Agudelo Areiza, Jitka Becanova, Simon Vojta, Johanna Ganglbauer, Udayan Apte, Luigi Brunetti, Sean Kumer, Faiz Haque, Euna Kim, Elsie M. Sunderland, Rainer Lohmann, Fabian C. Fischer, Angela L. Slitt

Graduate School of Oceanography Faculty Publications

Per- and polyfluoroalkyl substances (PFAS) are persistent, bioaccumulative chemicals linked to liver toxicity and metabolic disease. 54 PFAS were measured in 211 adult human livers collected between 2000 and 2024 to reveal temporal trends, relative PFAS abundance, and demographic predictors of hepatic burden. PFAS were detected in 210 individuals, with 15 compounds found in ≥30 livers. Total summed PFAS concentrations decreased by 94% over the 24-year period in weighted linear regression, and by 68% after adjusting for age, sex, and liver health in multivariate models. Since 2019, a ∼950-fold variability in concentration was observed, and the PFAS profile in the …

Growing South Dakota (Winter 2026), College Of Agriculture, Food And Environmental Sciences

Growing South Dakota (Publication of the College of Agriculture, Food and Environmental Sciences)

[Page] 2 International Year of Rangelands and Pastoralists: South Dakota rangelands take center stage
[Page] 4 The professor and the soil
[Page] 8 Range ready: Helping students bridge the gap between conservation and agriculture
[Page] 9 Resilient rangelands: Native Plant Initiative’s role in reviving South Dakota’s prairies
[Page] 10 Jackrabbits lead the charge in bison research and education
[Page] 12 Agricultural and biosystems engineering celebrates century of education
[Page] 16 SDSU Quarter Scale Tractor Club: An impact beyond awards
[Page] 18 Building a legacy of opportunity: Karen D. Stuck Endowment strengthens agricultural communication program at South Dakota State University
[Page] …

The Paradox Of Matriliny: Cultural Authority And The Political Marginalization Of Women In Meghalaya, Kasturi Bharadwaj

Journal of International Women's Studies

The global discourse on gender equality gained momentum after the 1975 United Nations World Conference on Women. It continued through a series of international initiatives and culminated in the Beijing Declaration and Platform for Action, which emphasized women’s rights and their participation in political, social, and economic life. Despite these normative commitments at the international level, women’s political participation and representation within administrative and decision-making structures continue to be uneven, limited, and structurally constrained across many societies. In this context, the study investigates the political participation and representation of women in Meghalaya, a tribal state in Northeast India characterized by …

Turning Your Membership Into Measurable Value, Reva Darling

The Journal of the Michigan Dental Association

MDA membership offers significant financial leverage by negotiating programs that return money to dental practices. In 2025, practices utilizing endorsed vendors realized potential annual savings exceeding $50,000. Highlighted services include MEDVA, which provides virtual assistants to reduce salary expenses by over 60%, and PPO Negotiation Solutions, which has increased some practices' collections significantly. Members also benefit from discounts on dental supplies (TDSC.com), accounting services, and precious metal refining. Furthermore, Bridge Commercial Realty assists with real estate transitions, offering fee discounts and free appraisals. Collectively, these endorsed programs are designed to offset membership dues and strengthen a practice's financial health.

The Performance Of Machine Learning Algorithms In Predicting Under-Five Anaemia In Tanzania, Henry Ofori Duah, Derrick Nyantakyi Owusu, Godwin G. Duah, Paul Shidende

College of Nursing Faculty Research and Publications

Aim

Anaemia in children under five remains a major public health concern, contributing significantly to global child morbidity and mortality. With the rise of machine learning (ML), novel opportunities exist to model and predict anaemia more effectively. This study aimed to evaluate and compare the performance of five ML algorithms in predicting anaemia among under-five children in Tanzania.

Methods

We conducted a secondary data analysis using the 2017 Tanzania Malaria Indicator Survey (TMICS). The dataset (n = 5906) was randomly split into training (70%) and test (30%) sets. Five ML algorithms, Linear Discriminant Analysis (LDA), Logistic Regression, Random Forest (RF), …

Associations Of Blood Pressure Level And Variability With Cortical Thickness: A Cross-Sectional Analysis From The Maracaibo Aging Study, Romeo De Leon, Shana Garza, Silvia Mejia-Arango, Kristina Vatcheva, Sokratis Charisis, Claudia L. Satizabal, Luis J. Mena, Joseph H. Lee, Joseph D. Terwilliger, Eron Manusov

School of Medicine Publications

Background: Although high blood pressure (BP) level and variability are associated with Alzheimer's Disease (AD), their relationship with cortical thickness in brain regions that are associated with AD is unclear. Furthermore, the role of 24-hour BP has not been examined. We investigated the associations of office and ambulatory BP measures with cortical thickness in brain regions implicated in AD.

Methods: We performed a cross sectional analysis of 304 participants without dementia from a population-based study with office and 24-hour BP and magnetic resonance imaging (MRI) data. We considered cortical thickness values derived from 10 regions throughout the frontal, parietal, and …

J Mich Dent Assoc January 2026

The Journal of the Michigan Dental Association

Each month, the Journal of the Michigan Dental Association delivers news, information, and features about Michigan dentistry to our state's oral health community and the MDA's 6,200+ members. It remains the main publication reaching Michigan dentists and is available worldwide through ADA Commons. The January 2026 (Volume 108, No. 1) issue of the Journal is published in a print format to provide updates and insights for Michigan's oral health community and MDA members. Print editions occur every other month beginning with January.

This issue includes feature articles on Pediatric Dentistry and 2025 Life Membership recipients.

Regular monthly contributions include:

• Editorial …

Procedural Apartheid? How Racial Harassment Cases And Their Proponents Are Subject To Separate And Unequal Due Process, Suzette M. Malveaux

Scholarly Articles

This article makes three unique contributions. First, it introduces the theoretical framework and coins the term “procedural apartheid.” Simply put, when race is invoked as the basis for misconduct, procedural protection is meted out inequitably, often to the detriment of people of color. This phenomenon is situated in the law’s larger project to preference colorblindness over race-conscious ameliorative efforts. The article invites the reader to broadly consider where separate and unequal proceduralism exists because of the centrality of race. This article deploys the term “apartheid”—not literally, but strategically—to highlight the systemic legal and racial nature of this hierarchical divide.

Second, …

Safe And Effective Injection Practices For Insulin And Glp-1 Users, Lydia A. Anderson

Doctor of Nursing Practice Projects

Improper insulin and GLP-1 injection techniques can reduce treatment effectiveness in patients diagnosed with diabetes mellitus. This quality improvement project aimed to improve patients' knowledge and safety regarding insulin and GLP-1 medications by conducting an educational session and demonstration of proper injection techniques. The project took place at a community senior center where individuals reported not receiving instruction or education on correct injection practices when prescribed these medications. Pre- and post-intervention surveys assessed changes in patient knowledge, confidence, and understanding of proper injection methods. Results demonstrated clear improvements in patient knowledge, confidence, and technique. This project highlights the significance of …

Beat By Beat: Empowering Communities With Lifesaving Cpr Skills, Allyssa Mb Hutchins

Doctor of Nursing Practice Projects

Introduction: This doctoral project was created to increase bystanders' willingness and ability to perform CPR by building their confidence in performing it effectively. A total of 13 participants participated in this project to increase knowledge and confidence in CPR interventions.

Background: Cardiac arrests remain a leading cause of death, yet research indicates that rural communities have lower rates of bystanders trained and willing to assist. Increasing CPR awareness and eliminating barriers to care for classes can improve CPR confidence and have a positive community impact.

Methods: Three 4-hour CPR classes were held in Zirconia, NC, at no …

Opioid Abuse: Community Education, Meggan N. Wolff-Jackson

Doctor of Nursing Practice Projects

The opioid epidemic in the United States has persisted for over two decades and has become one of the leading causes of accidental deaths nationwide (Robert et al., 2022). The opioid crisis represents a widespread public health emergency that extends beyond individual and community boundaries, imposing burdens on both the national economy and the healthcare system (Kyei et al., 2024). Although the opioid epidemic is a global concern, it is particularly concerning in the target community located in the western part of North Carolina. This region has some of the highest rates of opioid overdoses within the state, with 118 …

Combating Pressure Injuries In Critical Care: A Dnp Project On Nursing Education And Prevention Strategies In The Icu, Tijuana M. Johnson

Doctor of Nursing Practice Projects

Hospital-acquired pressure injuries (HAPIs) are preventable complications that significantly increase patient morbidity, mortality, length of stay, and healthcare costs, particularly in intensive care units (ICUs). At a rural 146-bed hospital, the ICU pressure injury rate of 1.17 per 1,000 discharges exceeded the national benchmark of 0.58 per 1.000 discharges, identifying a critical gap in prevention practices. This Doctor of Nursing Practice (DNP) project aimed to improve ICU nurses' knowledge of pressure injury prevention and reduce unit-based educational intervention grounded in Patricia Benner’s Novice to Expert Theory and implemented using the Plan-Do-Study-Act (PDSA) quality improvement framework.

A pre-and post-intervention design was …