Digital Commons Network^™

Optimizing Distributed Boundary Exchanges For Benchmarks, Solvers And Sparse Matrix Operations, Gerald Collom

Computer Science ETDs

Boundary exchanges dominate the cost of both stenciled codes and those that rely on sparse matrix operations. The performance of large boundary exchanges is limited by synchronization overheads and injection bandwidth limitations. Irregular boundary exchanges incur additional overheads due to the large number of required messages. This thesis investigates multiple methods for improving the performance and scalability of both Cartesian and irregular boundary exchanges. Since boundary exchanges are typically performed iteratively, persistent communication presents an opportunity for optimization by sharing and amortizing setup costs. Partitioned communication is also explored to increase asynchrony, reducing bottlenecks from synchronization overheads and data congestion. …

Exploring Immune System Through Computational Modeling: A Comprehensive Study Of Lymph Nodes And Immune Response Scaling, Vaccine Efficacy, And Large-Scale Extreme First Passage Time, Jannatul Ferdous

Computer Science ETDs

The adaptive immune response is a complex defense mechanism that develops over time to recognize and eliminate pathogens with remarkable precision and durability. This dissertation investigates the dynamics, scaling, and efficiency of the adaptive immune response through a synthesis of computational modeling, mathematical analysis, and agent-based simulations. First, we analyze the topology of the lymphatic network and investigate the T cell search time to find the lymph node that is containing the matching dendritic cell. Second we show how the scaling of lymph node number and volume with body mass, leads to scale-invariant search times for T cells locating antigen-bearing …

The Nature Of Anthropogenically Driven River Drying: Spatiotemporal Causes And Consequences, Eliza Inez Gilbert

Biology ETDs

Streambed drying naturally occurs in over 60% of rivers and streams worldwide. Climate change and human regulation of surface and groundwater have increased drying in naturally intermittent systems and caused perennial systems to transition to intermittency, impacting water security, water quality, and biodiversity. To understand human-induced drying dynamics, we used 12 years of daily drying data along a 154-km regulated reach of the Rio Grande. We conceptualized river drying as a regime analogous to the natural flow regime paradigm and quantified drying magnitude, rate of change, and duration. Although linear models predicting drying magnitude and rate of change were uninterpretable, …

Nitrogen Addition Additively Boosts Climate-Driven Salsola Tragus (Russian Thistle) Invasion Into Southwestern Usa Grasslands, Melissa A. Bacigalupa

Biology ETDs

Effective management of invasive, non-native plants requires understanding key drivers of invasion, including nitrogen enrichment from atmospheric deposition and agriculture. Long-term studies are essential for capturing complex invasion dynamics yet remain uncommon. We used 22 years of observations and 14 years of nitrogen experiments to examine invasion by Salsola tragus (Russian thistle) into three semi-arid grasslands of central New Mexico. Invasion patterns varied, with rapid expansion in Chihuahuan Desert grassland and the Desert-Plains ecotone but stability in Plains grassland. Under ambient nitrogen, precipitation most strongly correlated with Russian thistle biomass and high native grass biomass was associated with Russian thistle …

Does Reliance On Kin Erode With Market Integration? A Social Network Perspective, Ruizhe Liu

Anthropology ETDs

Kinship has long shaped human societies. Yet globalization and market integration (MI) are reshaping social structures. This dissertation investigates how kinship-based networks persist, adapt, or erode amid rapid socioeconomic change. It draws on ethnographic and social network data from 229 Mosuo households in southwest China, a matrilineal society experiencing increasing MI, to examine shifts in everyday cooperation.

The first study analyzes fixed name-generator data and finds a general decline in kin support as MI increases, though with considerable variation. The second study uses count models to explore unbounded support networks, showing that kin ties remain central in reproductive contexts, while …

A Study Of Machine Learning Techniques In Solving Biochemical And Chemical Problems, Kenneth Micheal Plackowski

Chemistry and Chemical Biology ETDs

Data-driven approaches to solving problems in biology and chemistry require utilization of reliable techniques and machine learning algorithms are the modern reliable approach. This work presents three problems that involve use of supervised learning techniques when classification is the goal and unsupervised learning techniques when global data representation is the goal.

In the first problem, we demonstrate the use of unsupervised clustering techniques, self-organizing maps and K-means, to ascertain analyte detection capabilities of carbon nitride dots. In the second problem, we add scalability features to a functional group classification model applied to infrared data and evaluate its ability to inform …

Theoretical And Experimental Investigation Of Liquid-Liquid Phase Separation: Characterizing Elastin-Like-Polypeptides, Adam D. Quintana

Chemical and Biological Engineering ETDs

This dissertation develops and validates a semi-empirical Flory–Huggins-based interaction model, combined with Cahn–Hilliard simulations, for predicting multi-component liquid–liquid phase separation (LLPS) in elastin-like polypeptide (ELP) systems. Equilibrium droplet compositions, measured using a PDMS-based microfluidic device, enabled direct parameterization of interaction coefficients. The model was applied to generate phase diagrams and assess composition dependence in ternary mixtures. Cahn–Hilliard simulations were conducted to explore potential phase morphologies under different interfacial conditions. Multi-component Lattice Boltzmann simulations were implemented to model droplet morphology evolution under varying interfacial and diffusive parameters, reproducing experimentally relevant morphologies. A three-phase wetting study revealed conditions for selective wetting and …

Seeking Structure In Complex Systems: From Feature Analysis To Space-Time Causal Discovery With Earth Science Applications, Jeffrey J. Nichol

Computer Science ETDs

Complex systems are difficult to study because of their many interacting parts, emergent phenomena, and feedback loops. These systems underpin all life on Earth. We need improved tools for seeking an understanding of them. This body of research presents my investigations into data-driven methods for understanding complex systems, including my invention of a novel causal discovery meta-algorithm for space-time gridded data. I demonstrated machine learning feature importance and causal discovery capabilities for comparing simulated and observed climate data. I developed a new benchmark for modeling space-time dynamics of locally driven phenomena and examined a prominent causal discovery algorithm. Finding that …

Cultural Humility, Holistic Admission Review, And Multicultural Experiences Among Newly Admitted Nursing Students, Janna Michelle Hackett

Nursing ETDs

This study explored the impact of Holistic Admissions Review (HAR) on demographic characteristics, multicultural experiences, and cultural humility (CH) levels among newly admitted pre-licensure nursing students. Fostering CH and diversity among healthcare providers may help reduce health disparities. Traditional admissions methods may not identify candidates with traits supporting CH development, whereas HAR considers diverse backgrounds and experiences. Two groups were surveyed: one admitted through HAR and the other through traditional methods. No significant differences in CH scores were found, but significant differences were found in age, living abroad, and volunteering with diverse populations. Students admitted through HAR were younger and …

Pd-Based Hydrogen Separation Membranes Synthesized Via A Liquid-Phase Route, Chase W. Thompson

Chemical and Biological Engineering ETDs

Palladium (Pd) membranes have gained significant attention for their ability to selectively separate hydrogen, a critical process for clean energy applications such as fuel cells and hydrogen storage. However, challenges such as grain growth, sintering, hydrogen embrittlement, and film uniformity limit their scalability and long-term stability. This thesis focuses on the controlled synthesis, deposition, and stability of Pd nanoparticles to optimize membrane performance for hydrogen separation. This work investigates solution-phase synthesis of Pd nanoparticles, focusing on temperature, precursor concentration, and solvent composition as key variables influencing particle growth and dispersion. Pd membranes were fabricated using nanoparticle deposition onto porous supports, …

Under Pressure: Performance Loads And Recovery In Ncaa Division I Women’S Soccer During Fixture Congestion, Jade X. Dawson, Fabiano T. Amorim

Health, Exercise, and Sports Sciences ETDs

Soccer places high physiological demands on athletes, and match congestion—playing more than two games per week—is a growing concern at the NCAA Division I level. Limited recovery time between matches can impair performance and increase injury risk, prompting widespread use of recovery strategies. However, research on their effectiveness remains inconclusive, and most existing studies focus on male athletes, leaving a gap in evidence specific to female players. This review and observational study aim to evaluate non-nutritional recovery strategies in NCAA Division I women’s soccer and examine how recovery duration influences performance.

Match load data were collected from eleven female athletes …

Self-Determination In The Implementation Of Treaty Reserved Rights, Kekek Jason Stark

Tribal Law Journal

No abstract provided.

Don’T Throw The Book: Customary Tribal Laws Can Heal Rather Than Punish Addiction, Coleman Griffith

Tribal Law Journal

No abstract provided.

Stop Killing The Klamath: Rights Of Nature Protections With Tribal Law, The National Historic Preservation Act, And Collaborative Management Strategies For A Tribe On The Front Lines Of Climate Change, Juliette A. Jackson

Tribal Law Journal

No abstract provided.

Genetic Gain And Loss In The Evolution Of Amniote T Cell Receptor And Immunoglobulin Genes, Jordan M. Sampson

Biology ETDs

The immune system of most jawed vertebrates consists of three major cell types: αβ T cells, γδ T cells, and B cells. Every species evaluated contains the loci that encode the highly conserved αβ T cells, however, γδ T cells are less conserved and have been lost in squamate reptiles. The loci that encode the B cell receptor have also varied across evolution. Seven immunoglobulin (Ig) heavy chain isotypes have been identified in amniotes: IgM, IgD, IgY, IgG, IgE, IgO, and IgA. Some are found in most species (IgM and IgD) and others only in specific lineages (IgY or IgG). …

Unm Pathology, Pathfinder Summer 2025, Unm Department Of Pathology

Newsletters

No abstract provided.

Ms4 Swmpp 2025, National Technology & Engineering Solutions Of Sandia, Llc (Ntess) And Department Of Energy (Doe)

Municipal Separate Storm Sewer System (MS4) Permit

Stormwater discharges from Sandia National Laboratories/New Mexico (SNL/NM) are eligible for coverage under the National Pollutant Discharge Elimination System (NPDES) Municipal Separate Storm Sewer System (MS4) Permit. This Stormwater Management Plan (SWMP) was prepared by National Technology and Engineering Solutions of Sandia (NTESS) for the Department of Energy (DOE) National Nuclear Security Administration (NNSA) Sandia Field Office (SFO), owner of SNL/NM, located in Albuquerque, NM.

An Approach To Neutrosophic Hyper Soft Rough Matrix And Its Application, J. Boobalan, E. Mathivadhana

Neutrosophic Sets and Systems

No abstract provided.

An Application Of Site Selection For Solid Waste Management System Using Neutrosophic Set, A. Savitha Mary, D. Sarukasan, C. Kayelvizhi, L. Jethruth Emelda Mary, F. Josephine Daisy, K. Pitchaimani

Neutrosophic Sets and Systems

No abstract provided.

A Theory Of Structural Guarantees: How The Constitution Combats Unequal Distributions Of Liberty, Michael S. Cecil

New Mexico Law Review

Structural inequality is a widely invoked but often undertheorized concept in constitutional discourse. A persistent question in constitutional theory is whether structure itself is a subject of justice—and how, if at all, institutional arrangements that produce unequal distributions of liberty might demand corresponding remedies. The strained efforts of courts and legislatures in addressing structural inequality through individual rights-based frameworks underscore the need for a more robust theoretical account. This Article contributes to that effort by advancing a theory of “structural guarantees” grounded in principles of justification from the social contract tradition. Rather than focusing on abstract features of the state …

Front Matter, Arianna Medina

Western Journal of Orthopaedics

No abstract provided.

Full Issue, Arianna Medina

Western Journal of Orthopaedics

No abstract provided.

An Approach From The Plithogenic Dea To The Calculation Of The Efficiency Of A Pedagogical Strategy On Basic Digital Competencies In Students Of The Basic Education Program At The Bolivarian University Of Ecuador, Johanna Irene Escobar Jara

Neutrosophic Sets and Systems

In the context of higher education, the evolution towards a full integration of digital technologies has been significant globally, but its effective implementation varies between different regions and institutions. In Latin America, the adoption of information and communication technologies (ICTs) has been uneven, despite efforts to incorporate digital tools into education. Significant gaps in infrastructure and teacher training persist, which limit educational quality and the full development of digital skills in students. This paper aims to measure the impact of implementing a pedagogical strategy on developing basic digital skills and how it im-proves the pedagogical skills and innovation capacity of …

Deciphering Purchase Decisions In Neuromarketing: A Systematic Review Of The Last Decade Using Neutrosophic Z Numbers, Eluard Alexander Mendoza Zenozain

Neutrosophic Sets and Systems

The contribution of this article is to a basic neuromarketing question: awareness of how / why we buy in an overstimulating external environment. More specifically, the question is how ambiguous perceptions and unclear responses influence buying behavior; something the traditional systems sought have not extensively explored. The contribution is made through a decade's systematic review of the literature and subsequent application of neutrosophic Z numbers to quasi-experimental findings. The literature es compiled through the neutrosophic Z system of assessment to reveal trends and tendencies reflecting certain and uncertain findings of consumer response to marketing persuasion. This matters because relative to …

Multi-Neutrosophic Ayni Method Based On Ancestral Logic And N-Alectic Reasoning For Ethical Ai And Sustainability, Maikel Y. Leyva Vázquez, Noel Batista Hernandez, Edwin Alberto Callejas, Florentin Smarandache

Neutrosophic Sets and Systems

This article presents the Multi-Neutrosophic Ayni Method, a novel framework that integrates Latin American Indigenous philosophies with neutrosophic logic to guide ethical and sustainable AI development. Grounded in ancestral principles such as Ayni, Buen Vivir, In Lak’ech, ch’ixi, and nepantla, this approach models plural, ambiguous, and context-dependent ethical judgments through Multi-Neutrosophic Sets (MNS). A key contribution is the introduction of the Euclidean Multi-Neutrosophic Consensus Measure, which quantifies the degree of alignment among diverse stakeholders' evaluations without erasing epistemic differences. This measure enables the detection of convergence thresholds in intercultural deliberation, offering a rigorous yet flexible tool for decision-making. The method …

A Neutrosophic Multi-Objective Optimization Framework For Sustainable Design Of Water Supply Systems, Jesús Rafael Hechavarría Hernández, Maikel Yelandi Leyva Vázquez

Neutrosophic Sets and Systems

The study addresses the challenge of optimizing water supply systems (WSS) under conditions of uncertainty, variability, and multiple. In a context where sustainability is a key criterion, traditional Multiobjective optimization approaches are often insufficient to handle the imprecision and indeterminacy inherent in data and models. This work proposes a Neutrosophic Multi-Objective Model (NMM) that integrates Neutrosophic Logic to capture uncertainty in decision variables, objective functions, and constraints. Unlike conventional methods, NMM allows considering degrees of truth, indeterminacy, and falsity, offering a more robust and flexible framework for decision-making in WSS. The relevance of this study lies in its ability to …

A Neutrosophic Approach To Evaluating Self-Perceived Professional Competency In Dentistry Students And Graduates, Frederick Zevallos- Velasquez, Yessika Madelaine Abarca Arias, Juvita Dina Soto Hilario, Jairo Rafael Vidaurre Urrelo, Alejandro Chávez Paredes, Katia Medina-Calderon

Neutrosophic Sets and Systems

This article addresses a key issue in dental education: how recent graduates and final-year students at the Faculty of Dentistry of the National University of San Marcos (UNMSM) perceive their readiness for professional practice. The study explores these self-assessments amid uncertainty, especially due to disruptions in clinical training during health restrictions. Traditional methods often overlook the ambiguity present in human perceptions during crises. To fill this gap, the study applies neutrosophic Z numbers, a method that captures degrees of certainty, indeterminacy, and contradiction in responses. Five competency dimensions were evaluated, revealing overall confidence in professional preparation but significant uncertainty in …

Analysis Of Indicator Dynamics In Agricultural Sustainability Using Neutrosophic Cognitive Maps, Carlos Balmaseda -Espinosa, Oscar Caicedo- Camposano, Nadia Quevedo-Pinos, Dacil González-González

Neutrosophic Sets and Systems

Agricultural sustainability is a complex system influenced by interconnected environmental, economic, and sociocultural factors, whose relationships are often marked by uncertainty. This study addresses the interdependence of these factors using Neutrosophic Cognitive Maps (NCMs), a methodology capable of modeling causality in complex systems by incorporating degrees of truth, falsity, and indeterminacy. Twelve key indicators across the three dimensions of sustainability were selected, and an NCM was constructed based on expert criteria to visualize and analyze their dynamic interactions. Centrality analysis, following a de-neutrosophication process, revealed that sociocultural indicators, specifically the well-being of the agricultural community (X12) and the preservation of …

Nahp: Neutrosophic Hierarchical Analysis For Pest Prioritization In Plantain Cultivation, Marely Del Rosario Cruz Felipe, Víctor Noe Sánchez Carreno, Lorenzo Cevallos-Torres

Neutrosophic Sets and Systems

The following study addresses the impact of pests on plantain cultivation, recognizing them as a critical factor for both sustainability and productivity. Traditionally, decision-making in this context relies heavily on subjective and unstructured criteria, often leading to inaccurate prioritization of pest- and disease-related risks. This issue becomes even more pressing considering the growing global demand for plantains and the need to manage resources effectively, which calls for clear identification of intervention priorities. However, agricultural systems—characterized by ecological and social variability—often present incomplete, ambiguous, or contradictory information, making conventional multicriteria analysis insufficient. To address this challenge, this research introduces the Neutrosophic …

Computational Intelligence For Disease Diagnosis: An Approach Based On Neutrosophic Logic, Omar Mar Cornelio, Barbara Bron Fonseca

Neutrosophic Sets and Systems

Medical diagnosis faces significant challenges due to the inherent uncertainty and ambiguity of clinical data. In this context, this paper proposes a neutrosophic logic-based approach to disease diagnosis, with an emphasis on the detection of chronic kidney disease. The primary objective was to develop a computational method that adequately represents and manages uncertainty by transforming clinical attributes into neutrosophic structures composed of triplets (T: truth, I: indeterminacy, F: falsity). The implemented methodology included the collection and preprocessing of real clinical data extracted from the UCI repository (135 patients), the application of imputation and normalization techniques, the definition of diagnostic criteria, …