Digital Commons Network^™

Tree Soft Set And Decision-Making Approaches For Tourist Satisfaction Assessment Of Tourist Attractions, Yuxia Yan

Neutrosophic Sets and Systems

No abstract provided.

Estimating The Prevalence Of Delay In Comprehensive And Expressive Language Development In Preschool Children In Pichincha, Ecuador Based On Plithogenic Statistics, Andino-Acosta María Soledad, Guerrero-Olalla Mercy Paulina, Lima-Rosero Patricia Elizabeth, Moreno-Pramatárova Mila, Ruales-Paredes Salomé Shayana, Tapia-Tapia Sylvia Ibeth, Unda-Vargas Ivonne Cristina

Neutrosophic Sets and Systems

No abstract provided.

Comprehensive Evaluation Of Safety Emergency Plans For Petrochemical Enterprises Under Interval Valued Trapezoidal Neutrosophic Set To Enhance Preparedness And Risk Mitigation, Hailing Chen

Neutrosophic Sets and Systems

No abstract provided.

What We Talk About When We Talk About First-Generation Students: Exploring Definitions In Use On College And University Websites, Danielle E. Maurici-Pollock, Rebecca Stallworth, Sasha Khan

Publications

First-generation students (FGS) are a population that has received increasing attention, but the term has been inconsistently defined. Such inconsistency creates challenges not only for research, but for students themselves, many of whom may find they meet the FGS definition in one institutional context, but not another. In this study, we analyze how the term first-generation student is defined on the public websites of colleges and universities in the United States and Canada and discuss implications for students and academic libraries.

M-Polar Quadripartitioned Neutrosophic Graphs With Applications In Decision-Making For Mobile Network Selection, Basavaraj V Hiremath, Durga Nagarajan, Satham Hussain S, Hossein Rashmanlou, Farshid Mofidnakhaei

Neutrosophic Sets and Systems

No abstract provided.

A New Sdimsim Methods With Optimized Region Of Stability And Sustainable Development With Applications On Neutrosophic Data, A. Y. J. Almasoodi, Mohammed Kadhim Mohsin, Sarah A.Al-Ameedee, Mohammed Amer Shanyoor

Neutrosophic Sets and Systems

No abstract provided.

Neutrosophic Quasi-Xlindley Distribution With Applications Of Covid-19 Data, Rehab Alsultan, Amer Ibrahim Al-Omari

Neutrosophic Sets and Systems

No abstract provided.

Estimating And Testing Augmented Randomized Complete Block Designs: The Neutrosophic Approach, Abdulrahman Alaita, Hooshang Talebi, Yasser Al Zaim

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.

Powering Up Clinical Practice: Mastering Clinical Literature Search Techniques In Embase, Evelyn Wang

HSLIC Faculty and Staff Instructional Resources

This workshop presentation, "Powering Up Clinical Practice: Mastering Clinical Literature Search Techniques in EMBASE," is designed to enhance healthcare professionals’ skills in conducting effective clinical literature searches using EMBASE. The session covers efficient navigation of EMBASE, transforming clinical questions into search concepts, developing advanced search strategies with keywords and Emtree terms, applying search tips (Boolean logic, truncation, wildcards), conducting pilot searches, refining search strategies, and managing results for clinical decision-making. Additional resources and HSLIC services are introduced to support literature review and research workflows.

Evolutionary Biology In Latin America: Perspectives On Science, Religion And Society, Enrique Lessa

LAII Events

Tuesday, April 22,2025

(Castetter Hall 100 (219 Yale BIvd NE)

Join the LAll, the UNM Department of Biology, and the Guadalupe Institute for a discussion about evolutionary biology in Latin America.

Evolutionary biology has been at the center of conflicts between science and religion for the last two centuries. In Latin America, the relationship between science in general-and evolution in particular-and religion varies dramatically as a function of the history and profiles of the countries in the region. Post-truth radicalism globally is pushing anti-science sentiment to new extremes, and urgent, defensive and offensive action is needed. There is also a …

Life After Death: Investigating The Resistance And Recovery Of Fungal Communities To Foundation Tree Mortality, Jessie F. Marlenee

Biology ETDs

Tree mortality can have cascading effects on the composition and resilience of interacting fungal communities. Yet, little is known about the impact tree mortality, distinct from abiotic drivers (i.e., drought), has on these communities. This dissertation focuses on the resilience of fungal communities to experimental tree mortality in a piñon-juniper woodland. In chapter one, I found that piñon mortality reduced piñon fine root biomass and piñon mycorrhizal fungal diversity, whereas juniper mycorrhizal fungi were unaffected by juniper mortality. In chapter two, I revealed that piñon mortality altered the composition and spatial structure of mycorrhizal and saprotrophic fungi in the soil, …

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 …

Nanostructured Transition Metal Oxides For Electrochemical Co2 And Methane Conversion, Olumide O. Oladoyin

Chemical and Biological Engineering ETDs

Rising atmospheric CO₂ and CH₄ drive climate change, prompting research into their electrochemical conversion to valuable products. This study investigates electrodeposited nanostructured transition metal oxides (TMOs), unary (CuO, Co₃O₄) and dual (Cu-Co oxide) as catalysts for CO₂ reduction and CH₄ oxidation under ambient conditions. Fabricated on various substrates (Cu foil, SS316, carbon paper) and characterized by SEM, their electrochemical performance was evaluated via cyclic voltammetry.

Cu-Co oxide showed superior CO₂ reduction, leveraging the strengths of individual oxides. Co₃O₄ exhibited higher current densities for CH₄ oxidation, with SS316 proving the best substrate. Catalyst composition, morphology, and substrate significantly influenced efficiency. While …

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 …

Determinants Of Neuronal Viability Following Spreading Depolarization, Michael C. Bennett

Biomedical Sciences ETDs

Spreading depolarizations (SDs) are massive, slowly propagating waves that cause near-complete neuroglial depolarization and are energetically demanding for the brain. Past studies have established SDs as key contributors to secondary injury in tissue that lacks the metabolic supply to meet the energetic burden of repolarization after SD. Efforts to identify the mechanisms that cause deleterious consequences following SD have been ongoing, with significant results showing that blocking excitotoxic levels of Ca²⁺ from entering neurons through NMDA receptors prevents detrimental outcomes. While these studies have advanced the field, other mechanisms may also contribute to the metabolic burden of SD. This …

The Delocalized Toolbox: Tuning Strain, Energetic And Optoelectronic Properties Of Aryl Heterocyclic Scaffolds For Application-Driven Endeavors, Michael Josef Holzmann

Chemistry and Chemical Biology ETDs

This is a three-part dissertation. Part 1 is composed of chapters 1-3 which revolves around the optimization of cyclononyne reactivity towards 1,3 dipolar cycloadditions. Specifically, the synthesis and reactivity of sulfate, sulfamate and sulfamide-bearing cyclononynes will be discussed. Chapters 4-5 comprise Part 2 which addresses optimization of ruthenium olefin metathesis towards reversible activation and inhibition. The mechanism of reversible inhibition mediated by a hexaarylbiimidazole photo-inhibitor will be elucidated. Part 3 consists of chapters 6-8 which describes structure-functional relationship studies on carbon dots and harnessing that insight for sensing applications. Data relating to assays performed with explosive analytes will be analyzed …

What Is A Nation? Colonial Legacies, Identity, And Reclaiming In Métisse Autobiographical Narratives – A Case Study Of Sugar And Slate And Garçon Manqué, Thaïs Maëlle Autin

Foreign Languages & Literatures ETDs

This thesis examines the question of national belonging in autobiographical narratives of second-generation immigrant métisse women. I study the similar aesthetic manner in which individuals with different regional and cultural influences grapple with concepts of identity, gender, racism, exile, and negotiation, and the way in which the authors anchor themselves in a broader familial and national heritage. I argue that such an enterprise can be understood as part of the alternative heritage wave, based on Andrew Higson’s theory. The texts put in question traditional understandings of nation. Doing so opens the possibility of engaging in a dialogue that expands the …

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 …

Evaluating The Performance Of Bayesian Removal Models For Estimating Population Density And Detecting Trends With Variable Detection Probability, David R. Stewart

Mathematics & Statistics ETDs

Removal models have long been used to estimate population abundance by progressively capturing and removing individuals from a closed population. These models provide a valuable tool for ecological monitoring, but their accuracy depends heavily on assumptions about detection probability, which may decline over successive sampling passes. Traditional removal models assume constant detection probabilities, an assumption that is often violated in real-world applications. This thesis aims to advance hierarchical Bayesian models by accounting for variable detection probabilities, improving the reliability of abundance estimates and trend detection. By integrating simulation-based analyses with empirical data from Lahontan Cutthroat Trout (Oncorhynchus clarkia henshawi …

Mathematics & Statistics 2025 Apr Self-Study & Documents, Unm Academic Program Review

UNM Academic Program Review

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

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

UNM Academic Program Review

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

Biomedical Sciences 2025 Apr Self-Study & Documents, Unm Academic Program Review

UNM Academic Program Review

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

A Cellular And Molecular Dissection Of The Breast: Identification Of Pericytes As A Driver Of Tumor Cell Proliferation, Katelyn M. Del Toro

Biomedical Sciences ETDs

Tissues are composed of many different types of cells. Each has a specific function and exists within a unique context—all of which define the landscape of the tissue. The cellular and molecular interactions within a tissue are critical to its form and function. Defining these interactions is an important step in understanding the aberrant nature of diseases like cancer, where tissue homeostasis has been abandoned. This requires reliable models of each cell type. Yet, in many tissues, including the breast, comprehensive methods to identify, purify, and study each tissue cell type have not been defined. This is a critical deficiency …

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 …

Analysis Of The Potential Impacts Of Brine And The Main Challenges Of The Water Importing Project From The Gulf Of California To Phoenix, Arizona (Arizona Water Project Solution), Alejandro Corral Hernandez

Water Resources Professional Project Reports

In December 2022, the Arizona Water Project Solution (AWPS) was presented to the Water Infrastructure Finance Authority of Arizona (WIFA). The project proposes to develop, construct, and operate a Seawater Reverse Osmosis (SWRO) plant in Puerto Peñasco, Sonora, Mexico, and transport potable water through a 200-mile pipeline to supply the city of Phoenix, Arizona, in the United States.

This study includes a cross-multiple-case analysis, incorporating expert data and information, to evaluate the brine impacts and challenges faced in developing the five operational SWRO plants in Israel and the Claude “Bud” Lewis Carlsbad plant in California, United States. By identifying patterns, …

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 …

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 …

Drug Targets Illumination: An Evidence-Based Data Analytics & Informatics Approach To Hypothesis Generation Through Clinical Trials And Genomic Variants, Jeremiah I. Abok

Chemistry and Chemical Biology ETDs

DRUG TARGETS ILLUMINATION: AN EVIDENCE-BASED DATA ANALYTICS & INFORMATICS APPROACH TO HYPOTHESIS GENERATION THROUGH CLINICAL TRIALS AND GENOMIC VARIANTS

Target Illumination Clinical Trial Analytics with Cheminformatics (TICTAC) introduces a scalable data integration pipeline that aggregates multivariate clinical trial evidence to systematically rank disease–target associations. By harmonizing metadata from AACT and employing confidence-scoring techniques, TICTAC facilitates hypothesis-driven target selection for drug discovery, enabling a data-driven approach to therapeutic development. In parallel, a bioinformatics-driven analysis of gnomAD exome mutations in the ZPR1 gene highlights the broader role of genetic variants in disease association. By employing variant effect predictors, protein stability modeling, and …