Digital Commons Network^™

Dense Temporary Array Investigation Of Jemez Uplift Seismicity, Jillian D. Podmore

Earth and Planetary Sciences ETDs

A protracted multi-stage tectonic and magmatic evolution combined with low regional crustal strain rates make it challenging to characterize active structure that may host earthquakes in the Jemez Mountains of New Mexico. Here, we leverage temporary 1-month deployments of nodal seismometers to gain new insights into seismicity of the Jemez Mountains, which only have continuous seismic monitoring on their eastern flank as a result of the Los Alamos Seismic Network. Our catalog is built using 4 steps: phase picking in continuous seismic data, association of picks to detect unique events, event magnitude estimation, and absolute hypocenter estimation. We detect and …

Guillaume Dustan's Ethico-Politics Of The Body, Noah Mertz

Foreign Languages & Literatures ETDs

In this MA Thesis, I lay out a synthetic overview of polemical French writer Guillaume Dustan's (1965-2005) political philosophy. He is criticized first as irresponsible and dangerous for his defense of barebacking (sex without condoms) in the midst of the AIDS epidemic, and then, after his death, as a neoliberal/anarcho-capitalist for his focus on individual liberty. My overview touches on Dustan's Freudian belief that repression is the root of all social ills, his functional ethics of self-responsibility, the revaluation of heteronormative Judeo-Christian morality towards 'virtusex,' and his social contract that minimizes repression. Dustan’s goal is for you to autonomously subjectify …

Application Of Bimetallic Transition Metal Oxides Electrocatalysts For Li-Co2 Batteries And Li-O2 Batteries, Jianda Wang

Chemical and Biological Engineering ETDs

Li-ion batteries are the dominant commercial rechargeable batteries nowadays, which are used in electronic devices and electrified transportation widely. However, undesirable energy density of Li-ion batteries prohibits them from meeting requirements of new generation electronic devices. Therefore, it is important to find more alternative electronic energy storage systems with higher capacity. Fortunately, Li-CO2 batteries, featured high capacity and ability to convert CO2, have become a promising candidate to replace Li-ion batteries. In addition, Li-O2 batteries also attract people’s attention due to their high energy density and low cost. However, Li-CO2 batteries and Li-O2 batteries both face challenges of terrible cycle …

Fedchae: Federated Learning With Client Clustering And Hybrid Adaptive Engagement, Chaeeun Park

Electrical and Computer Engineering ETDs

As machine learning adoption expands, data privacy concerns have grown significantly. Federated Learning (FL) addresses this challenge by allowing clients to train locally and share only their model parameters with the server. However, conventional FL methods such as FedAvg suffer from high communication overhead, as all clients must participate in every global round.

This paper proposes FedChae (Federated Learning with Client Clustering and Hybrid Adaptive Engagement) to balance communication efficiency and model accuracy. FedChae alternates between Grouping Rounds, where all clients perform clustering, and Conventional Rounds, where one client per cluster updates the model.

Simulations with 100 clients using Multi-class …

“Bridging The Gap To Midwave Infrared Event-Based Sensors: Design, Sensitivity, And Radiation-Hardness Characterization Of A Single-Pixel Iii-V Event-Based Infrared Sensor For Space Applications, Zinah M. Alsaad

Electrical and Computer Engineering ETDs

Event-based sensing presents a revolutionary paradigm shift for next-generation space surveillance systems, where power consumption is an ever-worsening constraint as temporal resolution demands increase. In addition to reduced power consumption, low latency, and wide dynamic range, the event-based sensor fundamentally only produces data when there is a change in illumination from which events are generated; no data is produced if the scene remains static. With their event-based datastream being inherently focused on the dynamic information of the scene, they are particularly well-suited to machine vision and autonomous sensing applications. While these sensors have many compelling advantages, there are presently no …

When Two Worlds Collide: A Narrative Inquiry Into The Teacher Identity Development Of Graduate Students Of Additional Languages, Hannah L. Garver

Teacher Education, Educational Leadership & Policy ETDs

This study explores a population that has been understudied in teacher identity research: native English-speaking graduate teaching assistants (GTAs) of additional languages who assumed this role with no prior teaching experience. Influenced by my own experience as a GTA, the purpose of this study is to gain insight into how this population’s experiences shape their identities as teachers and later careers. This qualitative study uses narrative inquiry as a method by which to examine their experiences through the stories told by participants: six former GTAs of French and German.

Using data in the form of semi-structured interviews and some participants’ …

Analysis Of Heat Transfer And Pressure Drops Associated With Twisted Tube Heat Exchangers, Braden Foderaro

Nuclear Engineering ETDs

Several studies have been done on the effects of twisted tubes in heat exchangers, including the correlations that relate the flow parameters to the heat transfer and pressure drop experienced. These studies are new, with the earliest being performed in 1982. As such, there are many correlations covering only certain flow parameters and geometrical configurations such as the Reynolds number and modified Froude number.

This thesis attempts to cover flow regimes and tube geometries not yet studied and yield correlations. Data are gathered from heat exchangers featuring twisted tubes with water as the working fluid. It is noticed that the …

Non-Destructive Characterization Of Ion Irradiated Yttrium Hydride For Microreactor Applications, Ryan E. Pena

Nuclear Engineering ETDs

As energy demands increase, nuclear reactors, especially microreactors, become a promising energy source. These reactors run at high temperatures (>280°C), requiring moderators that can endure these environments. Yttrium hydride is a possible moderator, but little is known about the material’s phase stability and hydrogen retention under irradiation. Through the use of a gold ion beam, samples with stoichiometries ranging from 1.6 to 2.0 were irradiated and tested. Through Vickers hardness testing, a model was created showing a correlation between hydrogen content and hardness. Raman spectroscopy showed high temperature and irradiated samples have significant hydrogen loss. XRD quantified this hydrogen …

Sequential Low Dose Proton Irradiation And Nanomechanical Testing To Understand Mechanical And Microstructural Property Changes In Alloy 709, Abhishek Kc

Nuclear Engineering ETDs

Alloy 709, a 20Cr25Ni alloy, is an advanced austenitic steel designed for next generation sodium fast reactors. Preliminary studies have shown the potential of Alloy 709 in sodium fast reactors. In this study, Precipitate Treated Alloy 709 specimens are irradiated with 2 MeV H⁺ at 500 °C from 0.0057 dpa to 1.7 dpa. Electron microscopy characterization techniques are used to understand the effects of radiation on mechanical properties as well as microstructure of Alloy 709. The microstructure did not show formation of voids, amorphization of precipitates, or increase in grain size up to 1.7 dpa. Correspondingly nano-indentation and micro-pillar …

Coupled Adjoint-Based Perturbation Theory For Dynamics And Heat Transfer Multiphysics For Nuclear Transients, Alexis Maldonado

Nuclear Engineering ETDs

Nuclear reactor multiphysics modeling and simulation (M&S) enable advanced reactor design by analyzing how systems will react over time to various configurations, scenarios, and perturbations. However, high-fidelity coupled transient M&S for reactor cores are computationally expensive, making robust analyses challenging. This work develops a Coupled Adjoint-based Perturbation Theory for dynAmIcs and heat traNsfer (CAPTAIN) framework to rapidly quantify the impact of uncertainty to overall transient responses by generating sensitivity coefficients for temperature, power, and delayed neutron precursor concentrations using forward and adjoint solutions. This work presents an initial proof of principle, verified with direct perturbations to several inputs. Furthermore, this …

A Risk-Informed Approach To Performing The Pre-Closure Safety Analysis For The Deep Borehole Disposal Of Radioactive Waste, Jennifer Elizabeth Leute

Nuclear Engineering ETDs

Deep borehole disposal is an emerging concept which involves disposing of radioactive

waste in boreholes several kilometers deep then backfilling to minimize radionuclide

transport and distribute weight. Unfortunately, little documentation exists on borehole

safety case development, especially for pre-closure operations. This study aims to close

this gap by proposing a graded approach matrix based on consequence, maturity, and

complexity. Two case studies are used to demonstrate this application: Hanford CsCl

capsules and spent PWR assemblies. Simulations are used to predict potential for dose

exposure, revealing CsCl capsules have a much higher potential for being above the 5

rem public dose …

Dynamic Admittance Parameterization For Non-Prehensile Multi-Robot Transport With Optimal Coordinated Planning, Calvin J. Stahoviak

Computer Science ETDs

The Dynamic Admittance Parameterization of Non-Prehensile Multi-Robot Trans- port with Optimal Coordinated Planning (DYNAMO) architecture offers a practical framework for cooperative payload transportation using two robots equipped with nonholonomic mobile bases and four-degree-of-freedom manipulators. Coordinated mobile manipulation is a difficult problem in robotics, and the non-prehensile case is even more challenging than its prehensile counterpart because the robot bases and the payload are dynamically coupled. DYNAMO adapts arm motion in response to interaction forces and generates coordinated base trajectories that account for this coupling. Robust payload transport is achieved through the combination of opti- mal planning and adaptive compliant control, …

Irregularities In The Dynamics Of Large Networks: Cases On Social Networks And The Internet, Dheeman Saha, Abdullah Mueen, Shuang Luan, Afsah Anwar, Yangsun Hong

Computer Science ETDs

Dynamic networks capture evolving relationships among entities, and irregularities in their behavior often signal significant events. This dissertation investigates such irregularities across social and infrastructural networks. First, we analyze Twitter (prior to its rebranding to X) to characterize influencers, introducing a follower-overlap similarity measure that identifies micro-influencers beyond content-based methods.

We then examine election-related irregularities by comparing suspended and non-suspended accounts during the 2020 U.S. presidential election, revealing behavioral patterns linked to misinformation and coordinated manipulation.

Next, we develop an algorithm to infer post-specific diffusion networks, reconstructing who-saw-from-whom pathways for tweets at scale. This method uncovers structural differences in diffusion …

Pria: Process Risk Identification And Analysis, Raymond Fasano

Nuclear Engineering ETDs

This dissertation proposes and evaluates two approaches, with-in a Process Risk and Analysis (PRIA) framework, that advance data-driven hazard discovery in complex cyber-physical systems. First, a transferability-based clustering method groups subspace-identified segments into operational modes, prioritizing cross-predictive performance over raw feature proximity. Second, a Neural Switching Linear Dynamical System (NeuralSLDS) model anchors learning in identified state-space models with Bayesian residuals, calibrated predictive uncertainty, and context-aware operating mode transitions. Together, these methods generate physics-informed, probabilistic world models that can support model-in-the-loop analysis of hazardous trajectories. The approach is validated on a simulated point-kinetics reactor and a centrifugal chiller dataset, demonstrating coherent …

Ian Colburn, Ian Colburn, Katie Slack

Oral Histories of Farming along the Middle Rio Grande

No abstract provided.

2025-12 December Newsletter, Sammi Williams

NMOER Newsletters

No abstract provided.

Enhancing Cryptocurrency Prediction: A Fusion Of Machine Learning And Neutrosophic Programming, Ahmad Yusuf Adhami, Mohammad Parvej, Nabil Ahmed Khan, Mohd Khalid

Neutrosophic Sets and Systems

No abstract provided.

Extension Of Mcgdm To New Type Of Complex Pythagorean Neutrosophic Set Applied To Soft Set Via Weighted Score Function, Murugan Palanikumar, Nasreen Kausar, Brikena Vrioni, Ervin Hoxha

Neutrosophic Sets and Systems

No abstract provided.

Neutrosophic Bitopological Modeling For Vibration Control Performance In Vehicle Suspension Systems Under Uncertainty, Wei Su, Linqi Chen, Li Wang

Neutrosophic Sets and Systems

No abstract provided.

A Neutrosophic Mathematical Model For Evaluating Innovation Modes In Higher Arts Education, Lechen Dong, Yao Wu, Hao Chen

Neutrosophic Sets and Systems

No abstract provided.

Modified Plithogenic Sets In Criterion Reduction In Optimal Decisioning On Robotized Technology, Nivetha Martin, Gabriel Xg Yue, Davron Aslonqulovich Juraev

Neutrosophic Sets and Systems

No abstract provided.

Interval-Valued Fermatean Quadripartitioned Neutrosophic Similarity Model For Real-Time Safety Evaluation In Electrical Automation Systems, Zhongheng Xu

Neutrosophic Sets and Systems

No abstract provided.

A Hybrid Pso And Kruskal Approach For Neutrosophic Trapezoidal Minimum Spanning Tree Problem, Kalyan Adhikary, Prashnatita Pal, Jayanta Poray

Neutrosophic Sets and Systems

No abstract provided.

₷Ꝗ-Neutrosophic Structures In Semigroup Theory, Mala M, Mary Jansirani M

Neutrosophic Sets and Systems

No abstract provided.

Enhancing Diagnostic Precision Through Neutrosophic Degrees: A Hypothetical Framework For Managing Medical Uncertainty, A.A. Salama, Abdelnasser Mohamed, Huda E. Khalid, Ahmed Essa, Doaa E. Mossa

Neutrosophic Sets and Systems

No abstract provided.

A New Neutrosophic Confidence Density Model For Statistical Effectiveness Evaluation In Highway And Bridge Project Internal Control, Shuai Huang, Kesong Zhu

Neutrosophic Sets and Systems

No abstract provided.

Application Of Complex Neutrosophic Sets To Real-World Decision Making Problems, R. Rajalakshmi, M. Gayathri Lakshmi, Mana Donganont, Prasanta Raut, Bhabani S. Mohanty

Neutrosophic Sets and Systems

No abstract provided.

A Neutrosophic Probabilistic Distribution Framework For Modeling Uncertainty In Political Learning Environments: Precision Delivery Models Evaluation For College Political-Ideological Education, Guangda Zhao

Neutrosophic Sets and Systems

No abstract provided.

A Neutrosophic Framework For Resolving Statistical Paradoxes And Hypothesis Ambiguities In University Music Programs Teaching Quality Evaluation, Ying Zhang

Neutrosophic Sets and Systems

No abstract provided.

Coefficient Bounds And Fekete-Szego Inequalities For A Subclass Of Bi-Univalent Functions Defined Via Ρ Neutrosophic-Poisson Distribution, Abdullah Alsoboh, Mustafa A. Sabri, Hasan Almutairi, Yousef Al-Qudah, Ala Amourah, Abdullrahman A. Al-Maqbali

Neutrosophic Sets and Systems

No abstract provided.