Digital Commons Network^™

A Navajo Corpus Of Historical Narratives, Lukas Denk, Melvatha R. Chee

A Navajo Corpus of Historical Narratives

The Navajo Corpus of Historical Narratives is a digital compilation of morphologically annotated narratives. They were first published by Robert W. Young and William Morgan in the 1950’s in the volumes Navajo Historical Selections (1954) and The Trouble at Round Rock (1952). Nine out of 28 narratives are included in the corpus, totaling over 10,000 Navajo words. The corpus contributes to the understanding of the Navajo language by offering interlinear glosses of words, morphemes, morphs, and a free translation. These different interlinear tiers bridge the gap between the original Navajo text and the free translation provided by Young and Morgan, …

An Effective And Practical Probabilistic Simplified Neutrosophic Approach For Accurate And Reliable Innovative Design Evaluation For Digital Media Arts, Yang Zhang, Yuzhuo Zhang

Neutrosophic Sets and Systems

No abstract provided.

A Natural Language Processing Environment For Rule-Based Decision Making With Neutrosophic Logic To Manage Uncertainty And Ambiguity, A. A. Salama, Huda E. Khalid, Ahmed K. Essa, Nadheer M. Ahmed

Neutrosophic Sets and Systems

No abstract provided.

Uncertainty-Driven Entrepreneurial Career Education Decision-Making In College Incubators: A Neutrosophic Vague N-Soft Set Approach, Bingquan Yin, Yali Hou, Rui Zhao, Xiangge Liu

Neutrosophic Sets and Systems

No abstract provided.

Statistical Characterization Of The Neutrosophic Moyal Distribution, Mansour F.Yassen, Adnan Amin

Neutrosophic Sets and Systems

No abstract provided.

Uncovering Language Bias Towards Written Language Use Among Bilinguals And Individuals With Disabilities, Mu'nis Maen Nazzal

Linguistics ETDs

Language is a fundamental tool of social control. Linguistic bias plays a crucial role in social hierarchies and opportunities. While research has extensively documented linguistic bias in spoken language, less attention has been given to bias in written language. This study investigates students' evaluations of three instructors’ writings: a bilingual, an instructor with a disability, and a monolingual. The study employs a matched-guise technique to explore potential biases in students' perceptions of preference, leadership skills, expertise, and professionalism.

The Friedman Test revealed that while participants showed a preference for the instructor with a disability over the bilingual instructor and the …

Rf Emission From Partial Breakdown Events And Their Classification, Torin Sammeth

Electrical and Computer Engineering ETDs

Electrical breakdown is a core component of Pulse Power both in its utilization and as a failure point in systems. This research is investigating the feasibility of D-dot antennas to detect and potentially identify different forms of partial electrical breakdown in a point-to-plane gap geometry. In this work, the RF emission detected by a D-dot probe during a partial breakdown event is shown to correlate with the presence of light and current using a fast-current transformer and photomultiplier tube. Additionally, the frequency components of the RF signal were measured with the use of a fast Fourier transform. Identifying these frequencies …

Navajo Speech Recognition Using Low-Resource Language Models, Emery M. Sutherland

Electrical and Computer Engineering ETDs

This thesis describes the development of a speech recognition system to classify Navajo (Dine) words using Low Resource Language (LRL) datasets. Presently there are no recognized high-quality open-sourced datasets for the Dine language needed to train models for speech recognition. A small balanced dataset was designed to train several models. To overcome the scarcity of the LRL dataset, the audio recordings were augmented to account for time-stretching, amplitude variations, time shifts, small amounts of white Gaussian noise, and SpecAugmentation. The models included a Recurrent Neural Network (RNN), a Convolutional Neural Network (CNN), and a Long Short-Term Memory (LSTM) model with …

Leveraging Attention Mechanism To Unlock Gene And Protein Attributes, Ala Jararweh

Computer Science ETDs

Advancing personalized medicine depends on effectively integrating and interpreting the vast, heterogeneous landscape of biological data, from genomic sequences and transcriptomics to the insights embedded in scientific literature. Current machine learning models often focus on single data modalities, limiting their capacity to capture the multifaceted nature of biological systems. We address this gap by developing three attention-based machine-learning models integrating diverse data modalities. Firstly, DeepVul is a multi-task model that leverages cancer transcriptome data to predict genes critical for cancer survival and their corresponding drugs. Subsequently, LitGene refines gene representations by integrating textual information from the scientific literature. Finally, Protein2Text …

The Social Life Of Plants: Botanical Representations In Moche Art, Breanna Fae Reiss

Art & Art History ETDs

The Moche were semi-autonomous communities who thrived in the ten fertile riverine valleys of Peru’s northern coast between the late fourth and ninth centuries CE. Phase IV (c. 590–700 CE) Southern Moche ceramics feature intricate fine line visual narrative scenes with many multivalent symbols and motifs. This dissertation intends to understand why plants begin to play a more significant role in the Moche iconographic corpus in this period. I explore the interests of elites, the ecological web interweaving image and environment, and species identification. The local flora was affected on one hand by naturally occurring changes in weather and environment …

Antenna Analysis Using Mixed Computer Platforms (Aacp), Keith H. Bova

Electrical and Computer Engineering ETDs

This thesis reviews the design, implementation, and benchmarking of commercially available, previous generation (CAPG) computer systems, and how they can be used with computational electromagnetics. The thesis focuses on their architecture, performance, and practical applications. It begins with an overview of CAPG system components, including different node types such as login/controllers, compute nodes, block storage, and object storage. The process of assembling these systems is outlined. The conjugate gradient method and direct linear solvers were benchmarked. The performance of CAPG systems is compared with modern computing architectures. A detailed analysis provides recommendations for designing CAPG systems around the performance of …

A Dynamically Efficient Predictive Controller For Voltage Stability In A Dc To Dc Boost Converter, Giovanni Reyna

Electrical and Computer Engineering ETDs

Reliable voltage regulation has become a critical issue with increase demand in modern power electronic applications. This study presents a Model Predictive Controller (MPC) for voltage regulation in DC-to-DC boost converters. A closed loop analytical MPC framework is created with the purpose of computing optimal duty cycles to maintain a stable output voltage under varying load conditions, input changes, and disturbances.

To evaluate the performance of the MPC we set the controller against a comparative analyzing with a traditional cascading proportional integral (PI) controller. The proposed controller design is specifically targeted to improve dynamic efficiency during the converter’s transient events. …

Winter's End: Stopping The Rite And Reclaiming Spring, Jessica Wilson

Theatre & Dance ETDs

This dissertation examines intersections of patriarchy, feminist movements, and the recurring theme of women’s sacrifice, through an artistic lens. Using The Rite of Spring as a central subject, I explore the societal expectation of women’s sacrifice and its persistent representation in art. By analyzing two pivotal interpretations, Vaslav Nijinsky’s Le Sacre du Printemps (1913) and Pina Bausch’s Das Fruhlingsopfer (1975), within the chronological context of feminist waves in the United States, I investigate how these works reflect and critique cycles of violence against women. Four core patterns emerge as focal points: tradition, autonomy, witnessing, and betrayal. Additionally, my choreographic reinterpretation …

The Emotions Of Uncertainty: Science, Politics, And The Social Dynamics Of Decision Making, Alisa N. Rogers

Sociology ETDs

This dissertation examines how social and emotional factors influence attitudes toward science and decision making regarding science-based policy recommendations during the COVID-19 pandemic. I examine boundary work practices among the public as they evaluate experts during the pandemic and the social sources of information people used to construct knowledge. Then I examine the social and emotional factors that participants indicated influenced their own attitude formation and decisions to act regarding public health recommendations during the pandemic. I find that emotions influence each element of the decision process: information gathering, information evaluation, attitude formation, and decisions to act. Affective commitment and …

Sobre El Arcoíris: The Queering Of Mariachi, Tyician Charles Knight

Music ETDs

Mariachi is an internationally renowned artform and tradition whose history spans over decades and several continents. However, there are many aspects still embedded in mariachi culture that remain problematic; machismo (toxic masculinity), alcoholism, and homophobia to name a few. While there has been an increase of mariachi scholars who have critically examined these issues, mariachi culture itself has yet to address the challenges brought forth by its history of gender discrimination and homophobia and embrace practical changes that would enable the creation of a more equitable environment and further develop this living tradition. This thesis analyzes the trajectory of queering …

Cyber Physical Emulation Of Power Grids: Co-Simulation Of Exata Cps And Hypersim, Mckayla Snow

Electrical and Computer Engineering ETDs

This thesis explores the use of cyber-physical emulation of power grids to analyze the impact of different types of cyberattacks. It outlines the co-simulation process of HYPERSIM and EXata CPS within the OPAL-RT real-time digital simulator, demonstrating various cyberattacks on two power system models. The first model is a simple communication-focused testbed for easy demonstration of co-simulation setup, while the second is a power system model of a secondary network used to assess the cybersecurity of network protector units in low-voltage networks through a hardware-in-the-loop (HIL) testbed. Using this testbed, the cybersecurity of the direct transfer trip (DTT) scheme is …

Prenatal Exposure To Pm2.5 Concentration And Risk Of Preterm Birth In New Mexico; A Seasonal Pattern And Spatio-Temporal Modeling., Onyedikachi J. Okeke

Mathematics & Statistics ETDs

This study investigates the association between prenatal PM2.5 exposure and preterm birth risk in New Mexico (2014–2021). Using descriptive statistics, time series models, and spatial analyses, findings show an average preterm birth rate of 14.87 per 1,000 live births, with moderate correlation (r = 0.727) between PM2.5 levels and very preterm births. While traditional models revealed no significant global effect, spatial methods such as Geographically Weighted Regression (GWR) and Multiscale GWR uncovered strong spatial heterogeneity. PM2.5 effects varied by county (coefficients: -0.00154 to 0.00150), with clustering evident in 2018–2019 (Moran’s I = 0.155–0.174). Results highlight the limitations of global models …

“I Never Wanted This”: Examining Maintenance Of White Femininity Within Abortion Stories On Tiktok, Brooke Pope

Communication ETDs

The invocation of tragedy in abortion stories has been acknowledged as a rhetorical tool that creates affective prescriptions and marginalization. Expanding on this concept, this work identifies how these strategies are used to maintain white femininity structurally through individual narratives. An intersectional feminist rhetorical analysis of abortion stories told on the platform TikTok is used to identify discursive practices that signal to white femininity. These practices are organized into three prominent themes within narratives: moves toward victimization, moves toward innocence, and prescribed punishments. Thematically, these serve to identify how pro-choice rhetoric fails to be intersectional and underscore the importance of …

Achieving Periodontal Disease Stabilization: Assessing The Impact Of Laser Therapy In Scaling And Root Planing And Periodontal Maintenance Visits, Cassandra Charlotte Cooper

Dental Hygiene ETDs

Purpose: This study examined the effectiveness of laser utilization in stabilizing periodontal disease over a one-year period. This research focused on the results following scaling and root planing with adjunctive laser-assisted periodontal therapy and laser bacterial reduction at subsequent periodontal maintenance visits. While short-term advantages are documented in the literature, research on sustained effectiveness is limited. Methods: A retrospective chart review of 30 adult patients who received the above treatment was conducted. Periodontal charting was recorded at three visits over one year. Data was collected and analyzed utilizing Statistical Package for Social Sciences (SPSS) to determine statistical significance of periodontal …

A Concise Formalization Of Hyperrealism-Antirealism In Physics Using Neutrosophic Logic, Takaaki Fujita, Florentin Smarandache, Victor Christianto

Neutrosophic Sets and Systems

In [6], the relationship between hyperrealism and antirealism in physics is proposed. Hyperrealism Antirealism describes a spectrum where theories transition from being empirically grounded (realist) to speculative frameworks dominated by untestable assumptions, thereby detaching from observable reality. This paper presents a concise mathematical formalization of the spectrum of hyperrealism-antirealism in theoretical physics and the philosophy of science. We propose a method to quantify the extent to which a theory is “hyperreal” or “antirealist” using a ratio of testable to untestable statements. Additionally, we provide several theorems that outline the conditions under which theories shift into hyperreal or antirealist domains. Finally, …

Africana Studies 2025 Apr Self-Study & Documents, Unm Academic Program Review

UNM Academic Program Review

UNM Africana Studies APR self-study report, review team report, response report, and initial action plan for Spring 2025, fulfilling requirements of the Higher Learning Commission.

Classification Of Organizational Behavior At The National Agrarian University Of La Selva Based On Plithogenic Sets, Ketty Marilú Moscoso-Paucarchuco, Lucila Maribel Justiniano-Advincula, Monica Gisela Justiniano-Advincula, Manuel Michael Beraún-Espíritu, Inocente Feliciano Salazar-Rojas, Carlos Walter Mayta-Molina, Juan Dionicio Paz-Soldán Chávez

Neutrosophic Sets and Systems

In human organizations, there are group ways of conducting themselves, the interaction between members, and internal dynamics, among others that make the organization maintain a specific behavior as if it were an individual. This is the so-called Organizational Behavior, which is important to identify within a particular organization to improve the performance and efficiency of the entity. There are four types of organizational behavior models, namely, autocratic, custodial, supportive, and collegial. This paper aims to classify the organization that belongs to the office of the Academic Vice-Rector of the National Agrarian University of La Selva in Peru. To do this …

Convolutional Interval-Valued Neutrosophic Network For Intelligent Evaluation Of Smart Clothing Design Choices, Fengfang Wu

Neutrosophic Sets and Systems

Smart clothing design turned out to be a set of complex decision-making processes requiring complementary aesthetics, functionality, as well as customer preferences. This, in turn, makes the traditional evaluation methods struggle to deal with uncertainty and subjectivity in customer feedback about smart clothing design. In an attempt to address this challenge, this research article proposes a novel Neutrosophic approach that integrates Interval-Valued Neutrosophic (IVN) with Convolutional Network to build an intelligent tool for the evaluation of smart clothing design choices. The Neutrosophic representation enables modeling uncertainty, inconsistency, and hesitancy in decision-making by assigning interval-ed membership degrees for different views of …

Enhancing Medical X-Ray Image Classification With Neutrosophic Set Theory And Advanced Deep Learning Models, Walid Abdullah

Neutrosophic Sets and Systems

The classification of medical images presents significant challenges due to the presence of noise, uncertainty, and indeterminate information. Traditional deep learning models often struggle to manage this, leading to reduced diagnostic accuracy, especially when dealing with low-quality or ambiguous conditions. This paper proposes a hybrid approach that integrates Neutrosophic Set (NS) theory with deep learning models to enhance X-ray image classification under uncertain conditions. NS theory introduces three domains: True (T), Indeterminate (I), and False (F) to manage image uncertainty and noise, allowing deep learning models to better interpret complex, ambiguous visual information. To evaluate the approach, five state-of-the-art deep …

Ground-Arthropod Assemblage Response To Groundwater As A Metric Of Flooding In The Middle Rio Grande, Wesley J. Noe

Water Resources Professional Project Reports

Riparian zones are dynamic ecosystems, crucial for maintaining biodiversity and ecological balance, particularly in arid environments like the Middle Rio Grande (MRG). Ground arthropods, with their sensitivity to environmental changes, serve as bioindicators for assessing the impacts of water regime changes in the MRG, specifically flooding which was historically the main driver of the MRG ecosystem. This study investigated the responses of ground arthropod communities to fluctuations in groundwater and land management practices within MRG riparian habitats. Using a combination of pitfall trapping and habitat assessments, arthropod abundance was assessed in relation to depth to groundwater (DTG). Findings revealed shifts …

Ground-Arthropod Assemblage Response To Groundwater As A Metric Of Flooding In The Middle Rio Grande, Wesley Noe

Water Resources Professional Project Reports

Riparian zones are dynamic ecosystems, crucial for maintaining biodiversity and ecological balance, particularly in arid environments like the Middle Rio Grande (MRG). Ground arthropods, with their sensitivity to environmental changes, serve as bioindicators for assessing the impacts of water regime changes in the MRG, specifically flooding which was historically the main driver of the MRG ecosystem. This study investigated the responses of ground arthropod communities to fluctuations in groundwater and land management practices within MRG riparian habitats. Using a combination of pitfall trapping and habitat assessments, arthropod abundance was assessed in relation to depth to groundwater (DTG). Findings revealed shifts …

Spatial And Equity Analysis Of The Xeriscape Conversion Rebate Program In Albuquerque, Nm., Claire Jordy

Water Resources Professional Project Reports

With increasing water scarcity concerns threatening water supplies, many cities in the Western U.S. are focusing more effort on their water conservation programs to reduce consumptive water use. The Albuquerque Bernalillo County Water Utility Authority (Water Authority) in Bernalillo County, NM has had several water conservation programs in place since the 1990s, and still, they aim to further reduce water consumption. The Xeriscape Conversion Rebate Program is one of the primary tools to achieve this goal, encouraging customers to convert their high water-use turfgrass lawns to desert-friendly xeriscaping by providing a one-time rebate on their water bill. This rebate program …

Tracking Social Media Platform Shifts In Academic Libraries, 2019-2025 [Dataset], Holly M. Surbaugh

University Libraries & Learning Sciences Faculty and Staff Publications

The author created this supplementary data file during a research study completed in January 2025. For a sample of 233 university libraries located in the United States, the author examined current and archived versions of the organizations’ websites and noted changes in links to library-specific accounts on popular social media platforms. The goal of this research was to explore how academic libraries have responded to a period of significant change and disruption in the social media landscape. The Excel file contains the final version of the compiled data, including URLs for the reviewed websites and Internet Archive Wayback Machine captures …

Rethinking Reverse Logistics: Neutrosophic Strategies For Warehouse Management Challenges, Thanh- Ngan Le, Quoc-Hieu Phan, Phi Hung Nguyen, Lan-Anh Thi Nguyen

Neutrosophic Sets and Systems

Implementing warehouse management platforms (WMPs) in Vietnam's smart reverse logistics (SRL) sector faces numerous barriers, hindering operational efficiency and competitiveness. This study develops a robust multi-stage decision-making framework to identify, analyze, and address these barriers, filling a critical research gap in SRL practices. The proposed model integrates Neutrosophic Sets (NS) for managing uncertainties in expert evaluations with the Decision-Making Trial and Evaluation Laboratory (DEMATEL) method to examine cause-and-effect relationships among barriers. Additionally, the Neutrosophic Combined Compromise Solution (NS COCOSO) method ranks solutions for overcoming these challenges. In the first stage, key barriers—such as insufficient strategic planning, lack of expertise in …

Enhancing Missing Data Imputation For Migrants Data: A Neutrosophic Set-Based Machine Learning Approach, Doaa A. Abdo, A. A. Salama, Alaa A. Abdelmegaly, Hanan Khadari Mahdi Mahmoud

Neutrosophic Sets and Systems

This study tackles the problem of missing data in migrant datasets by introducing a new framework that combines machine learning techniques with neutrosophic sets. These sets, which can represent uncertainty and ambiguity, are well-suited for managing the complex nature of missing information in sensitive fields like migration research. We test the effectiveness of KNN, SVM, decision tree, random forest, and Ada Boost algorithms on a migrant dataset, comparing their results using different imputation methods (mean/mode, model-based imputer (simple tree), and random values). Our research showed that our proposed approach, which used neutrosophic sets, improved imputation accuracy and strengthened model reliability. …