Physical Sciences and Mathematics Commons^™

Mgrre_Thinsections_Mgrre-69_41, Mgrre

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Mgrre_Thinsections_Mgrre-69_69, Mgrre

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Mgrre_Thinsections_Mgrre-69_90, Mgrre

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Mgrre_Thinsections_Mgrre-70_24, Mgrre

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Mgrre_Thinsections_Mgrre-69_71, Mgrre

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Mgrre_Thinsections_Mgrre-69_74, Mgrre

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Mgrre_Thinsections_Mgrre-74_12, Mgrre

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Mgrre_Thinsections_Mgrre-76_1, Mgrre

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Mgrre_Thinsections_05_A_87, Mgrre

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Training Rbf Neural Networks For The Solution Of Elliptic Boundary Value Problems, Andreas Karageorghis, C.S. Chen

Faculty Publications

We propose a radial basis function (RBF) neural network method for solving two- and three–dimensional second and fourth order elliptic boundary value problems (BVPs). The neural network in question is trained by minimizing a nonlinear least squares functional, thus determining the optimal values of the various RBF parameters involved. The functional minimization is carried out using standard MATLAB® software efficiently. Several numerical experiments are presented to demonstrate the efficacy of the proposed method.

Mgrre_Thinsections_Mgrre-70_21, Mgrre

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Mgrre_Thinsections_Mgrre-69_48, Mgrre

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Mgrre_Thinsections_Mgrre-69_80, Mgrre

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Mgrre_Thinsections_Mgrre-69_99, Mgrre

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Mgrre_Thinsections_Mgrre-70_7, Mgrre

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Mgrre_Thinsections_Mgrre-74_5, Mgrre

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Mgrre_Thinsections_Mgrre-69_27, Mgrre

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Mgrre_Thinsections_Mgrre-69_43, Mgrre

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Mgrre_Thinsections_Mgrre-69_55, Mgrre

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Mgrre_Thinsections_Mgrre-69_59, Mgrre

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Mgrre_Thinsections_Mgrre-70_14, Mgrre

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Mgrre_Thinsections_Mgrre-70_96, Mgrre

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Mgrre_Thinsections_Mgrre-74_6, Mgrre

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Mgrre_Thinsections_Mgrre-69_57, Mgrre

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Investigation Of Laser And Nonlinear Properties Of Anderson Localizing Optical Fibers, Cody Ryan Bassett

Optical Science and Engineering ETDs

In this dissertation, I investigate the possibility of lasing and nonlinear phenomena in completely solid-state transverse Anderson localizing optical fibers (TALOFs). I examine three areas within this range of topics. The research in nonlinear phenomena focuses on four-wave mixing (FWM). FWM is of high interest in TALOFs due to the fact that guided localized modes of the fiber each have different propagation constants, and thus unique possible FWM pairs can be generated from the same input pump beam. I demonstrate the generation of FWM in the TALOF by pumping it with 532 nm light into a localized mode and observing …

Kinetic And Structural Characterization Of A Flavin-Dependent Putrescine N-Hydroxylase From Acinetobacter Baumannii, Noah S. Lyons, Alexandra N. Bogner, John J. Tanner, Pablo Sobrado

Chemistry Faculty Research & Creative Works

Acinetobacter baumannii is a Gram-negative opportunistic pathogen that causes nosocomial infections, especially among immunocompromised individuals. The rise of multidrug resistant strains of A. baumannii has limited the use of standard antibiotics, highlighting a need for new drugs that exploit novel mechanisms of pathogenicity. Disrupting iron acquisition by inhibiting the biosynthesis of iron-chelating molecules (siderophores) secreted by the pathogen is a potential strategy for developing new antibiotics. Here we investigated FbsI, an N-hydroxylating monooxygenase involved in the biosynthesis of fimsbactin A, the major siderophore produced by A. baumannii. FbsI was characterized using steady-state and transient-state kinetics, spectroscopy, X-ray crystallography, and small-angle …

In Vitro Liquid Culture Of The Mollusc-Parasitic Nematode Phasmarhabditis (Rhabditida: Rhabditidae), A. Pieterse, S. Haukeland, V. Půža, J. L. Ross, A. P. Malan

All Peer-Reviewed Publications

The success of the mollusc-parasitic nematode, Phasmarhabditis hermaphrodita (Schneider) Andrássy (Rhabditida: Rhabditidae), as a biological control agent in Europe has led to worldwide interest in phasmarhabditids as biocontrol agents. In this study, the mass culture potential of three phasmarhabditids, namely Phasmarhabditis papillosa, Phasmarhabditis kenyaensis and Phasmarhabditis bohemica, was assessed. In addition, ten bacterial candidates, consisting of seven associated with slugs and three associated with entomopathogenic nematodes, were investigated. The bacteria were tested for their ability to cause mortality to Deroceras invadens, as well as to support nematode growth. Initial mortality studies demonstrated that Kluyvera, Aeromonas and Pseudomonas spp. (AP3) caused …

Science, Technology, Engineering, And Mathematics (Stem) Project-Based Learning (Pbl) Education: A New Mexico Case Study For Equity And Inclusion, Kimberly A. Scheerer

Teacher Education, Educational Leadership & Policy ETDs

This research addresses how student participation in Science, Technology, Engineering, and Mathematics (STEM) project-based learning (PBL) education activities encourages underrepresented minority student achievement in STEM career field trajectories. Seven New Mexico high school counselors and 12 STEM organization personnel were interviewed during this study. Their responses represent the nuanced professional voices where New Mexico public education intersects with STEM student interest and cultural influence.

For students, STEM PBL can foster deep integration across educational disciplines and enhance STEM career trajectory interest and readiness. STEM education converged with PBL methodologies has the ability to leverage community support while broadening student networks. …

Convexity Of Regularized Optimal Transport Dissimilarity Measures For Signed Signals, Christian P. Fowler

Mathematics & Statistics ETDs

Debiased Sinkhorn divergence (DS divergence) is a distance function of

regularized optimal transport that measures the dissimilarity between two

probability measures of optimal transport. This thesis analyzes the advantages of

using DS divergence when compared to the more computationally expensive

Wasserstein distance as well as the classical Euclidean norm. Specifically, theory

and numerical experiments are used to show that Debiased Sinkhorn divergence

has geometrically desirable properties such as maintained convexity after data

normalization. Data normalization is often needed to calculate Sinkhorn

divergence as well as Wasserstein distance, as these formulas only accept

probability distributions as inputs and do not directly …

Integrating Computing Into Preservice Teacher Preparation Programs Across The Core: Language, Mathematics, And Science, Lauren E. Margulieux, Patrick Enderle, Pier Junor Clarke, Natalie King, Caroline Sullivan, Michelle Zoss, Joyce Many

Journal of Computer Science Integration

This paper describes the beginning of a design-based research project for integrating computing activities in preservice teacher programs throughout a middle and secondary education department. Computing integration activities use computing tools, like programming, to support learning in non-computing disciplines. The paper begins with the motivation for integrating computing that encouraged widespread buy-in, design goals, and design parameters. The primary motivating factor for this work was preparing teachers to use technology to support learning in their classrooms. Involving computing education faculty in the preparation enabled the activities to include computer science and spread computational literacy. The paper also describes the process …