Digital Commons Network^™

Medical Image Feature Extraction And Selection Based On Inception V3 And Gini Index For Cervical Cancer Cells Identification, Rachida Assawab, Mounir Ouzir, Badreddine Benyacoub, Abderrahim Electrochemical Sensor For Tenofovir Allati, Ismail El Moudden

Research and Infrastructure Service Enterprise (RISE) Faculty Publications

Background: Cervical cancer remains the fourth most common cancer in women globally, with 604,000 new cases annually. Early detection through cytological screening is critical, but manual interpretation suffers from high false negative rates and requires expert pathologists often unavailable in resource-limited settings.

Methods: We developed a novel hybrid framework combining InceptionV3-based deep feature extraction with Gini Index feature selection for automated cervical cancer cell classification. Using the Herlev dataset (917 Pap smear images: 242 normal, 675 abnormal), we extracted 2048 deep features and applied systematic feature selection to identify optimal discriminative subsets. Comprehensive clustering analysis (K-means, K-medoid, Fuzzy clustering) validated …

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.

Ecosystem Functions And Services - Landscaping For Water Quality (March 25, 2026 Gbnerr), Julia Peterson

UNH Cooperative Extension

No abstract provided.

Marketing Water Quality Friendly Services, Julia Peterson

UNH Cooperative Extension

No abstract provided.

Estuary, Kelle Loughlin

UNH Cooperative Extension

No abstract provided.

Water Resource Protection Principles And Strategies, Julia Peterson

UNH Cooperative Extension

No abstract provided.

2026 Water Quality Considerations In Landscaping, Thomas Swenson

UNH Cooperative Extension

2026 Water Quality Considerations in Landscaping

Stormwater Best Management Practices, Kat Kelleher

UNH Cooperative Extension

No abstract provided.

Assessing And Understanding Soil Characteristics, Amy Papineau

UNH Cooperative Extension

No abstract provided.

Nh State Shoreland Water Quality Protection Act (Landscaping For Water Quality Workshop - 2026), Jay Aube

UNH Cooperative Extension

No abstract provided.

Utilizing Emergency Management Audio Messages For Traffic Incident Management Performance Measures, Christopher Gartner, Vihaan Vajpayee, Jairaj Desai, Darcy M. Bullock

JTRP Technical Reports

Timely and accurate information regarding roadway incidents is critical for Traffic Management Centers (TMCs) to maintain safety and mobility. While Intelligent Transportation Systems (ITS) cameras and crowdsourced data provide significant visibility, rural interstate corridors often suffer from coverage gaps, or "blind spots," where incidents go undetected until significant queuing occurs. Public safety radio communications serve as the primary coordination method for first responders, creating a "verbal infrastructure" that contains vital information regarding incident location and severity. This study evaluates the feasibility of using Automatic Speech Recognition (ASR) to bridge these gaps by monitoring and analyzing radio traffic. The project developed …

The Nature And Origin Of The Strodes Creek Member Of The Lexington Limestone, Central Kentucky, Claire J. Mendenhall

University of Kentucky Master's Theses

The Strodes Creek Member of the Lexington Limestone is a small, unusual member that is largely known for its beds of fragmented and overturned stromatoporoids. The Strodes Creek Member occurs as two distinct stratigraphic bodies, wholly encompassed by the Millersburg Member, which represents a shallow, open-marine, mixed-clastic-carbonate platform, characterized by thin-bedded to nodular, fossiliferous calcarenites and calcirudites interbedded with shale. In contrast to the Millersburg, the Strodes Creek exhibits a lithologic background of dark, organic-rich, calcareous shales with a westward-thickening section of very irregularly bedded, stromatoporoid-rich, fossiliferous calcisiltites (packstones and wackestones). The calcisiltites are commonly associated with hummocky crossbedding, pinch-and-swell …

N-[3-(N-Tert-Butoxycarbonylaminooxy)Propyl]-2-[2-(3-Butynylcarbonylamino)Ethylthio]-1,3-Benzothiazole-6-Carboxamide, Gabriella G. Meisner, Nora N. Vegas, Christopher R. Shugrue

Chemistry Faculty Publications

We report the synthesis of a modified benzothiazole sulfide. This compound contains a heterocyclic core, a Boc-protected hydroxylamine, and an appended alkyne. This benzothiazole was accessed through three total steps, including an amidation reaction and two nucleophilic aromatic substitutions. The identity of the title compound was confirmed through ¹H, ¹³C, ¹H–¹H COSY, HSQC, and HMBC NMR, in addition to IR, MALDI-MS, HRMS, and HPLC.

Gender-Inclusive Language In Spanish: A Data-Informed Sociolinguistic Exploration Of Naming Variation, Silvia Rivera Alfaro, Jonathan Hanon

Publications and Research

ABSTRACT

This paper presents a data-informed sociolinguistic exploration of the variation in the names given to gender-inclusive language in Spanish. We use publicly available Google Trends (GT) data to describe the frequency of usage of different names over time and explore their geographical distribution. To account for the challenges and limitations of using Google Trends, we compare the data with information from two large linguistic corpora (CORPES XXI and Google Books Ngram Viewer). Using these tools, we generate small datasets to explore the intricacies of the topic addressed in this paper. In our literature review, we identified 17 names for …

Reflection In Still Waters: Generative Ai's Production Of Language, Jonathan D. Hawks

Graduate Studies Theses and Dissertations 2026

Language is a conceptual process of meaning-making as well as a social construction as defined by Saussure, Bakhtin, and Lacan. Large Language Models (LLMs) engage with neither process and instead present language as a finished and consumable product which undermines its fundamental aspects. The difference between representing language through probability and its structural components instead of its more inherent qualities is not a pointless distinction. This paper utilizes Narcissus as a central metaphor to show how people misread the outputs of LLMs as language which imparts to those reflected words meaning on par with our own conceptualizations of reality. People …

Securing Smart Agriculture With Communication-Efficient Federated Unlearning, Ujjwal Pudasaini

Electronic Theses and Dissertations

This thesis addresses the data poisoning attack in smart agricultural systems using federated unlearning, where the contribution of compromised field devices must be removed from the global model under communication constraints. We propose FedSCAN, a three-phase framework that identifies critical layers based on parameter sensitivity, classifies active neurons within these layers through relative weight change analysis, and performs unlearning via sparse low-rank adaptation to active neurons while freezing base model parameters. FedSCAN limits computational overhead to a compact parameter subset, enabling devices to participate in a communication-efficient manner. Experimental results on four datasets demonstrate that FedSCAN achieves up to 426.3× …

A Multiple Case Study Exploring The Lived Experiences Of Special Education Teachers Of Students With Intellectual Disabilities, Patrece A. Scott

Doctor of Education Dissertations

Special educators, particularly the teachers of students with intellectual disabilities, remained an understudied group in research. The purpose of this phenomenological qualitative study was to examine how special educators navigated their lived experiences collaborating with three key stakeholder groups: parents, general education teachers, and administrators, particularly working with students with intellectual disabilities. Specifically, this study examined how special educators experienced collaboration with those stakeholder groups through the framework of McClelland's (1961) Theory of Needs. The study involved two semi-structured interviews with each of the 12 participants, all of whom were special educators at the middle or high school level. These …

Evaluating Llms For Cpe Identification In Iot Reconnaissance, Christopher Davisson

EWU Masters Thesis Collection

Vulnerability identification during penetration testing relies on rigid string-matching to map network scan data to Common Platform Enumeration (CPE) identifiers and downstream Common Vulnerabilities and Exposures (CVEs). The approach frequently fails on physical Internet of Things (IoT) devices, which produce non-standard, irregular service banners that resist deterministic parsing. Large Language Models can reason through these fuzzy associations, but cloud-hosted models introduce cost, latency, and operational security concerns when processing reconnaissance data from live networks. This thesis asks whether locally-hosted open-weight Large Language Models (LLMs) can perform this task well enough to be useful, and how performance varies with model scale, …

Handwriting Recognition In Vr, Dominique Mosley

EWU Masters Thesis Collection

Virtual Reality (VR) is slowly becoming more popular for more than just entertainment. VR can be found in educational, office, and even healthcare settings to help discover more intuitive ways to teach, collaborate, and treat patients. Outside of the virtual world, these environments typically rely on writing for communicating or note-taking. Currently, VR input forces users to rely on clunky on-screen keyboards which disrupts the user’s immersion and breaks the flow of natural interaction. This thesis explores the potential of VR as a learning platform by combining it with artificial intelligence (AI). It aims to develop a VR-enhanced handwriting practicing …

Macroinvertebrate Taxonomic And Functional Diversity In The Spokane River Watershed, Kaitlin L. Abell

EWU Masters Thesis Collection

Changes in land use, such as agricultural expansion, have impacted stream systems by modifying discharge, substrate diversity, channel morphology, and nutrient inputs. The Spokane River Watershed is heavily impacted by human activity, including urban and agricultural development. Rehabilitation efforts are being organized to reintroduce Salmonidae species in the Spokane River Watershed. The first step of this reintroduction is to perform habitat studies to inform allocation of restoration efforts. As part of this effort, I performed benthic macroinvertebrate surveys throughout the watershed.

The objective of my research was to use the macroinvertebrate community as a biological indicator to determine which habitat …

Dietary Ecology Of Waterfowl Nest Predators In The Prairie Pothole Region: Evaluating Resource Use From Species To Individual Using Stable Isotope Analysis, Grace Barthelmess

EWU Masters Thesis Collection

Nest predation is a primary factor influencing waterfowl productivity in the Prairie Pothole Region (PPR) of North America. Although this system is intensely managed and studied, research has largely focused on how predators affect waterfowl populations, with comparatively little attention to how predators actually rely on waterfowl as a resource. Understanding predator feeding ecology is therefore critical for informing effective management strategies and interpreting the complexity of predator-prey interactions on this landscape. My objective overall was to elucidate the feeding ecology of nine focal predator species commonly associated with waterfowl nest predation in the Aspen Parkland Ecoregion of the PPR: …

Relationships Between Benthic Macroinvertebrate Communities And Environmental Conditions In Headwater Tributaries Of The Pend Oreille Lake Watershed, Idaho, Devlin Mee

EWU Masters Thesis Collection

Benthic macroinvertebrates are widely used indicators of stream condition, and their communities respond to thermal and land-use conditions in headwater streams. This study characterized macroinvertebrate biomass, community composition, and diversity across forested headwater tributaries of the Pend Oreille lake watershed in northern Idaho, and examined their relationships with summer temperature, land development, and road proximity. Samples from thirteen streams collected in 2024 were identified to genus, measured, and converted to estimated biomass using published length–mass regressions; ten streams had recovered temperature loggers. Because environmental variables were characterized once per stream, all analyses were conducted at the stream level.

Estimated total …

Tree-Based Graph Neural Networks For Natural Language Inference: From Structure-Only To Hybrid Architectures, Jason P. Lunder

EWU Masters Thesis Collection

Large transformer models achieve strong performance on natural language understanding tasks but require hundreds of millions of parameters and extensive pretraining. This thesis investigates whether graph neural networks operating on dependency parse trees can provide more parameter-efficient sentence representations for natural language inference, evaluated on two NLI tasks: entailment classification and semantic textual similarity.

Tree Matching Networks (TMN) adapt Graph Matching Networks to linguistic dependency trees with rich node and edge features, evaluated against a BERT baseline at matched parameter counts on identical training data. Tree Transformer Networks (TTN) extend TMN with transformer-based aggregation and tree-aware positional encodings, with component …

Racing To Safety: Tax Policy For Ai Safety-By-Design, Mirit Eyal-Cohen, Yonathan Arbel

SMU Law Review

The White House recently announced its vision of artificial intelligence (AI) policy: AI development is a race and America must win it. To that end, a new America’s AI Action Plan directs federal agencies and states to remove regulatory barriers to AI development and accelerate innovation. This approach leaves limited room for regulatory measures that would address the safety risks of powerful AI systems: their behavior in novel domains remains unpredictable, their decision-making opaqueness, and their alignment with human values is uncertain. While experts warn of large-scale accidents, policymakers find themselves in a bind: Regulate AI and cede ground to …

An Introduction To Field Excursions For The 2026 Geological Society Of America Cordilleran Section Meeting In Loreto, Baja California Sur, México, Scott E.K. Bennett, Michael H. Darin, Genaro Martínez Gutiérrez

Geology Faculty Publications and Presentations

The 122nd annual meeting of the Geological Society of America (GSA) Cordilleran Section will be held in Loreto, Baja California Sur, México, an idyllic and historic Sonoran Desert city nestled on the eastern shore of the Baja California peninsula. The 2026 Loreto meeting marks a milestone for GSA as it is the first time in the Section’s century-plus history that the meeting has been held on the Baja California peninsula and only the third time that the meeting has been held in México. Thus, the 2026 Loreto meeting and related field trips represent a meaningful expansion of the Section’s engagement …

Bison Detectives: Place Based Walk Lesson Plan For Msum Regional Science Center, Caylin Kelly

OER Materials

This lesson takes students on a detective walk at the MSUM Regional Science Center to answer the question, “How do we know bison lived in this area even though we do not see them?” Students observe a bison hide and look for clues in the prairie, such as tracks, bones, plants, and wallows. They share ideas, ask questions, and record their observations in a notebook. Students learn how to use evidence to support their ideas. This lesson connects students to local history and nature while helping them think like scientists.

Mary Cole Nibarger Wts Collection - Accession 1855, Mary Cole Parks Nibarger

Manuscript Collection

The Mary Cole Nibarger Collection consists of materials documenting Mrs. Mary Cole Parks Nibarger’s (1930-2021) teaching experience at the Winthrop Training School. Mrs. Nibarger was a 1951 Winthrop College graduate and was employed with the Winthrop Training School from September 1955 until its close in 1965. She served in many capacities including Supervisor of Mathematics and Freshman Class Sponsor. The collection reflects her commitment to education and dedication to the Winthrop Training School.

The collection includes yearbooks, class reunion correspondence, photographs, newspaper clippings, and miscellaneous items. The yearbooks document the students of WTS in the years 1956-1958, 1960, and 1962-1965. …

Teaching Effectiveness On Secondary Mathematics: Evidence From Pisa—Shanghai-China, Ting Shen

Psychological Science Faculty Research & Creative Works

Educational researchers and policymakers around the world have a strong interest in understanding the underlying reasons for the remarkable academic achievement of Chinese students in the Programme for International Student Assessment (PISA). Although teachers have a significant impact on student achievement, empirical evidence on teaching effectiveness in the Chinese education system has been scarce. This study uses the PISA 2012 Shanghai-China data and employs both multilevel models and quantile regression models to investigate effective teaching factors and their differential effects for students at different mathematics achievement levels. The results reveal the importance of cognitive activation and disciplinary climate as consistent, …

Floodnet Methodology For Determining Flood Sensor Locations, Polly Pierone, Véronëque Ignace, Hannah Eisler Burnett, Hayley Elszasz, Brett F. Branco, Andrea Silverman

The Science and Resilience Institute at Jamaica Bay, SRIJB

FloodNet NYC is a collaboration between the City University of New York (CUNY), New York University (NYU) and NYC government agencies. In 2022, the NYC Department of Environmental Protection (NYC DEP) funded FloodNet NYC to install up to 500 flood sensors across New York City (NYC) by the end of June 2027. To meet this goal, FloodNet developed and continued to refine a flood sensor placement methodology to ensure the usefulness of sensor data for flood response, preparedness, mitigation, and overall resilience. Members of the FloodNet team from both technical and community-facing aspects of the project worked together to develop …

The Composition Of Gases From A Diffusion Flame Above Longleaf Pine Needle Fuel Beds, David R. Weise, Thomas H. Fletcher, Timothy J. Johnson, Weimin Hao, Russell G. Tonkyn, Catherine A. Banach, Javier Palarea-Albaladejo, Mahsa Alizadeh, Stephen Baker

Faculty Publications

The gas and tar composition of a wildland fire diffusion flame from longleaf pine needles is currently relatively unmeasured and more data are needed to fill in the gap between pyrolysis data and smoke plume data, thus improving physical and chemical modeling of wildland smoke formation. A pilot experiment to measure light gas and tar composition of such a flame is described for three flame zones: persistent flame (flame base), intermittent flame, and smoke plume. Flame gases from 24 experimental fires were collected in canisters and analyzed for CO2, CO, H2, CH4, and C2 to C7 hydrocarbon gases. Other light …