Physical Sciences and Mathematics Commons^™

Urban Water Demand In Arid-Regions: Modeling And Forecasting Climatic And Economic Effects, Tallen Ashley Capt

Open Access Theses & Dissertations

Water demand is an ever-growing concern for many municipalities around the world and understanding the driving forces of demand is critical to ensure sustainability. The goal of this research was to develop mechanistic models of urban water demand that could be used as decision support tools for regional water managers. This Dissertation research focused on modeling water consumption in El Paso, Texas at the daily and annual time scale for use in a long-term forecast. The Dissertation is divided into three major chapters: the first two chapters describe independent models on (1) meteorological and (2) economic effects, respectively. The third …

Strategies To Improve The Electrochemical Of Performance Transition Metal Compounds As Anode Materials For Li-Ion Batteries, Noemi Dominguez

Open Access Theses & Dissertations

Nowadays, our society depends on fossil fuels as the main energy source. However, depletion, price fluctuations, and other concerns, such as global warming, have led to an exhaustive research for renewable energy resources. Here is where electrochemical energy systems play a critical role since they can provide power when renewable energy is not available. Among these electrochemical energy storage systems Li-ion batteries (LIBs) have shown higher volumetric, gravimetric, and power density capacities over other battery systems.

However, commercial LIBs are still relying on graphite base materials for the anode. However, graphite possesses a low specific capacity. Recently, transition metal compounds …

Dynamic Triggering Of Earthquakes Within The State Of Utah, Usa, David Lewis Guenaga

Open Access Theses & Dissertations

Understanding the stress state of faults and the stress needed to trigger earthquakes remains a fundamental goal for understanding the earthquake cycle. We focus on deciphering the stress of faults by studying seismic waves from large, distant earthquakes that trigger local seismicity, called remote or dynamic triggering. Utilizing 17 years of waveform and catalog data (2000-2017) from seismic regional networks (i.e., EarthScope USArray Transportable Array, United States Geological Survey, and University of Utah Regional networks), we search for triggered seismicity in the state of Utah following 227 large magnitude (M ≥ 7) distant earthquakes. Utah provides a long-standing regional network …

The Rhetoric Of Low Carbon Energy Technology Scientists And Engineers, Nicolas Cesar Hernandez

Open Access Theses & Dissertations

Scholars in the burgeoning field of Energy Communication have successfully contributed to communication studies and environmental communication practice. However, energy communication scholars have largely focused on energy of media coverage, corporate communication and decision making in the context crisis. While rich and informative, this tendency has left quotidian aspects of energy communication rather understudied. As such, this Thesis contributes to the understanding of the internal, non-untechnical rhetoric of low carbon energy technology (LCET) scientists and engineers (herein LCET professionals). Textual analysis was used to examine LCET professionals' internal rhetoric at professional trade conferences and through long form, semi-structured interviews. Wind …

Formulation And Implementation Of Iterative Method For Generating Spatially-Variant Lattices, Manuel Fernando Martinez

Open Access Theses & Dissertations

The use of a matrix-free, memory-efficient approach to generate large-scale spatially variant lattices (SVL) was explored. A matrix-free iterative SVL generation algorithm was formulated and then implemented with a tremendous memory reduction observed. The algorithm consists of solving first-order central finite-differences along the entirety of the problem space point-by-point to obtain the grating phase function Φ(𝑠⃗) to which all desired spatially variant lattice properties are applied to. The algorithm was studied to identify key areas of data and task parallelism to exploit in heterogeneous computing systems consisting of clusters of central processing units (CPU) and graphics processing units (GPU) combinations. …

Precipitation And Transformation Of Iron-Sulfide Nanoparticles In Low-Temperature Aqueous Environment: Effects Of Reactant Iron And Sulfide Sources, Ezequiel A. Moreno Flores

Open Access Theses & Dissertations

Iron sulfide nanoparticles assume an important role within a wide range of geological settings as indicators of redox environmental conditions and elemental cycling mechanisms. Initial precipitates of iron sulfide are exclusively nanoscale sized in low temperature aqueous conditions and have been reported to go through diverse morphological and phase transformations, possibly leading to the ultimate deposits of pyrite in geologic records of various times. A systematic understanding of how the early-stage nanoparticles of iron sulfide may develop into more crystalline iron sulfide forms is still lacking however. The major goal for this study was to illuminate the effects of the …

The Illusion Of An Abundant End- A Phenomenological Approach To Sustainability: The Progress Trap And The Transformative Potential Of Dialogue, Shantanu Rojatkar

Open Access Theses & Dissertations

Abundance is a concept according to which a thing is deemed to be in plenty. The feeling of satisfaction and assurance, arising from something that is concretely abundant, serves as a material reason for motivation of a desired action. Just like the stock of food lying in our fridge, ensuring more than just the needs of the moment, the abundance cooks the taste of freedom, freedom from worrying about tomorrow. However, over consumption out of greed as a potential outcome of abundance, could result in the increased capacity of a person in order to reach the initial level of satisfaction. …

Dedicated Hardware For Machine/Deep Learning: Domain Specific Architectures, Angel Izael Solis

Open Access Theses & Dissertations

Artificial intelligence has come a very long way from being a mere spectacle on the silver screen in the 1920s [Hml18]. As artificial intelligence continues to evolve, and we begin to develop more sophisticated Artificial Neural Networks, the need for specialized and more efficient machines (less computational strain while maintaining the same performance results) becomes increasingly evident. Though these “new” techniques, such as Multilayer Perceptron’s, Convolutional Neural Networks and Recurrent Neural Networks, may seem as if they are on the cutting edge of technology, many of these ideas are over 60 years old! However, many of these earlier models, at …

Ductile Deformation In The Central Panamint Mountains - A Multi-Disciplinary Approach To A Multi-Dimensional Problem., Tai Antonia Subia

Open Access Theses & Dissertations

This study provides new insights into the geometry and timing of ductile, syn-metamorphic structures in the central Panamint Mountains of eastern California. The study focused on Surprise Canyon, where exposures of Meso- to Neoproterozoic miogeocline rocks, reworked crystalline basement, and syn-metamorphic granitoids record fabric overprints indicative of at least two distinct dynamo-thermal metamorphic events. Prograde metamorphism at greenschist and amphibolite metamorphic facies conditions occurred during Early Jurassic plutonism based on deformation of a dioritic pluton with a U-Pb date reported here of 175.6 ± 3.2 Ma. Mid Jurassic deformation (D1) generated the main continuous cleavage in the rocks (S1) as …

Fishers' Ecological Knowledge And Stable Isotope Analysis: A Social-Ecological Systems Approach To Endangered Species Conservation, Kathryn Rose Wedemeyer-Strombel

Open Access Theses & Dissertations

Identifying developmental habitat is essential for understanding population structure and species resiliency, especially for critically endangered species. In long-lived, oceanic, migratory animals such as sea turtles, elucidating developmental grounds is particularly difficult. When data are deficient or challenging to acquire, scientists often lean towards traditional quantitative methods when a social-ecological systems approach could better provide crucial baseline data and guiding information. Fishers’ ecological knowledge (FEK), the combination of experiential and culturally transmitted knowledge, is expert knowledge and should be treated as such. In 2008, FEK led to the “rediscovery” of the critically endangered eastern Pacific (EP) population of hawksbill sea …

A Novel Set Of Weight Initialization Techniques For Deep Learning Architectures, Diego Aguirre

Open Access Theses & Dissertations

The importance of weight initialization when building a deep learning model is often underappreciated. Even though it is usually seen as a minor detail in the model creation cycle, this process has shown to have a strong impact on the training time of a network and the quality of the resulting model. In fact, the implications of choosing a poor initialization scheme range from leading to the creation of a poorly performing model to preventing optimization techniques (like stochastic gradient descent) from converging.

In this work, we introduce and evaluate a set of novel weight initialization techniques for deep learning …

Deciduous Shrub Encroachment Effects On Tundra Soil Properties, Daniela Aguirre

Open Access Theses & Dissertations

Deciduous shrub abundance is increasing in tundra ecosystems as an effect of rising temperatures which may change tundra physical properties and, in turn, microbial communities and biogeochemical processes. Two mechanisms through which shrub presence may affect tundra ecosystems were examined in this study; the physical presence of the shrubs and effects of increasing shrub litter inputs. In a sub-arctic alpine tundra ecosystem, dominated by the deciduous shrub Betula glandulosa, both shrub presence (shrub present and removed) and litter quantity (no litter/litter removed, ambient litter, and twice ambient litter) were manipulated; multiple ecosystem properties where measured within the treatment plots over …

Time-Reflective Text Representations For Semantic Evolution Tracking And Trend Analytics, Roberto Camacho Barranco

Open Access Theses & Dissertations

The extraction of significant, relevant, and useful trends from massive document collections, such as a streaming newswire or scientific publications, is a challenging and significant problem in many different fields, including intelligence analysis, recommendation systems, and scientific research. However, techniques that tackle trend analytics of such large text corpora are limited because research that addresses the temporal nature of these publications is still in its early stages. In this work, we first show that it is possible to capture the evolution of a story (or trend) by connecting the dots between different documents in a text corpus. The observed results …

Electronic Tuning Of Dimolybdenum Complexes Through Symmetry Manipulation Of Formamidinate Ligands In Their Second Coordination Sphere, Iván Alonso Cervantes Cervantes Martã­Nez

Open Access Theses & Dissertations

Alternative sustainable energy sources are required to decrease our dependence on carbon-based fuels. Small molecule activation is one of the most promising to fulfill global energy demand and maintain a sustainable world. Most of the industrial processes relevant for global energy supply and expenditure involves small molecules and metal catalysts. However, it is still required to gain fundamental insights on how these catalysts achieve such reactions. Dinuclear compounds, namely dimolybdenum complexes, may serve as a good experimental model to understand metal-metal cooperativity and its influence in catalysis.

In Chapter 2, three unsymmetric aryl formamidines were synthesized and characterized through 1H …

Stratigraphic Response Of The Differential Rise Of The Gypsum Valley Salt Wall, Jurassic Entrada Formation, Paradox Basin, Colorado, Rafael Andres Delfin

Open Access Theses & Dissertations

The effect of halokinetic processes on fluvial and marine depositional environments adjacent to salt diapirs have been well established through extensive research, however eolian systems in similar geologic settings have not been documented. This has left a void in our understanding of eolian depositional environments adjacent to salt diapirs. This study is aimed at providing new knowledge and a solid foundation on eolian systems and diapiric processes. Despite our limited understanding of theses interactions, there has been a recent interest in deep water prospectively in the Gulf of Mexico. Successful tests of the Norphlet Formation prove that eolian sandstones deposited …

Quasi-Harmonic And Anharmonic Entropies In Transition Metals, Bimal K C

Open Access Theses & Dissertations

Density functional theory (DFT) employing the quasi-harmonic approximation (QHA) is a robust method for evaluating thermal properties of solids. In the case of transition metals however, the method yields high values of the thermal pressure when compared to experimental data or with more direct methods like quantum-molecular dynamics (QMD) simulations. Surprisingly, there has not been to date, a systematic study aimed at understanding the reasons for these large discrepancies, particularly at low temperature, i.e. below the Debye temperature of the solid. Using Tantalum as a test model for which a lot of experimental data exist, thermal properties were evaluated employing …

Origin And Characterization Of Intrasalt Non-Halite Lithologies Of The Neoproterozoic Patawarta Diapir, Central Flinders Ranges, South Australia, Rachelle A. Kernen

Open Access Theses & Dissertations

Non-halite lithologies in salt diapirs are variously referred to as clasts, chips, rafts, stringers, sutures, and encased minibasins in the literature. Due to the complexities of gathering and processing seismic reflection data within salt bodies, nonhalite intrasalt lithologies, collectively referred to as inclusions here, are often first identified while drilling wells. These wells may penetrate unexpected lithologies of unknown fluid pressure, which can result in economic failure and pose serious drilling hazards and a threat to human life. Therefore, it is imperative to identify and determine the nature of inclusions prior to drilling, and ideally during the well planning process …

Non Linear Optics For Materials Fabrication And Medical Instrumentation, Aurelio Paez

Open Access Theses & Dissertations

Two-photon absorption is a nonlinear optical process where two photons are absorbed by a molecule simultaneously. The probability of this quantum phenomenon is proportional to the quadratic excitation of light intensity. It has many applications in biomedical and materials research, such as two-photon fluorescence microcopy. The first project is to apply two-photon absorption induced bond cleavage in photoreactive materials for engineering 3D tissue scaffolds. The major challenge for growing thick 3D tissues is the lack of vasculature, where nutrients and oxygen can be delivered to the growing cells. Our collaborators have synthesized a novel polypeptide that is composed of 34-mer …

Combination Of Resampling Based Lasso Feature Selection And Ensembles Of Regularized Regression Models, Abhijeet R. Patil

Open Access Theses & Dissertations

In high-dimensional data, the performance of various classiers is largely dependent on the selection of important features. Most of the individual classiers using existing feature selection (FS) methods do not perform well for highly correlated data. Obtaining important

features using the FS method and selecting the best performing classier is a challenging task in high throughput data. In this research, we propose a combination of resampling based least absolute shrinkage and selection operator (LASSO) feature selection (RLFS)

and ensembles of regularized regression models (ERRM) capable of handling data with the high correlation structures. The ERRM boosts the prediction accuracy with …

Scratching The Surface Of The Isotope Landscape Of An Ore Deposit Molybdenum-Sulfur Isotope Relationships In A Porphyry Copper-Molybdenum Deposit (Santa Rita / Chino Mine, Nm), Joshua Roger Peterson

Open Access Theses & Dissertations

More than 95% of the world's molybdenum (Mo) is mined from porphyry deposits (Sinclair, 2007). Molybdenum is an important component for the metal industry, as a key ingredient in stainless steel alloys and high-speed heat resistant tools. Despite the importance of porphyry deposits for the supply of this industrially important metal, major questions about Mo mineral precipitation remain unresolved and the process of ore body emplacement and formation remains poorly investigated (Cooke et al., 2014a).

Recent observations have revealed a wide range of Mo isotope compositions in porphyry deposits, both globally and locally (Greber et al., 2014a; Shafiei et al., …

Fault Kinematics Of The Southern Rio Grande Rift: Exploring The Possibility Of Fault Reactivation, Georgina Rodriguez Gonzalez

Open Access Theses & Dissertations

The region in and around the southern Rio Grande rift has experienced a long and complex tectonic history since the Precambrian era. In addition to recording extension directions due to the opening of the Rio Grande rift, faults can also possibly record contractional deformation related to the Laramide orogeny, extension along the boundary of the Mesozoic Chihuahua Trough, and possibly strike - slip movement since the Precambrian related to the Texas Lineament. The northern and central segments of the Rio Grande rift preserve mostly N - S-trending faults, whereas the southern segment preserves NW - SE-trending faults. The main hypoThesis …

Towards Analytical Techniques For Systems Engineering Applications, Griselda Valdepeñas Acosta

Open Access Theses & Dissertations

One of the main objectives of systems engineering is to design, maintain, and analyze systems that help the users. To design an appropriate system for an application domain, we need to know: what are the users' desires and preferences (so that we know in what direction we should aim to change this domain), what is the current state and what is the dynamics of this application domain, and how to use all this information to select the best alternatives for the system design and maintenance. Designing a system includes selecting numerical values for many of the parameters describing the corresponding …

Earthquake Magnitude Prediction Using Support Vector Machine And Convolutional Neural Network, Esther Amfo

Open Access Theses & Dissertations

A deep learning-based method Convolutional Neural Network (CNN) and Support Vector Machine (SVM) for earthquake prediction is proposed. Large-magnitude earthquakes triggered by earthquakes can kill thousands of people and cause millions of dollars worth of economic losses. The accurate prediction of large-magnitude earthquakes is a worldwide problem.

In recent years, deep learning technology that can automatically extract features from mass data has been applied in image recognition, natural language processing, object recognition, etc., with great success. We explore to apply deep learning technology to earthquake prediction, we propose a deep learning method for continuous earthquake prediction using historical seismic events. …

Novel Maximum Entrophy Method For The Average Survival Time Differences Between Two Groups, Joscelyne Guzman - Gonzalez

Open Access Theses & Dissertations

We suggest a Maximum Likelihood estimator for the Average Survival Time Difference between two groups, based on the extra time in which should be added to one group to produce the maximum entropy of the result. The estimator is calculated only from time to event data, does not assume hazard proportionality and provides directly the magnitude of the clinical differences between the groups. Our Monte Carlo simulations show that, even at low sample numbers the estimator is a reliable predictor for the clinical differences between the groups, and therefore can be used to estimate from preliminary data whether or not …

Interactions Of Bacterial Communities With Hydrous Sulfate Minerals In Water-Restricted Gypsic Environments: A Case Study Based In The White Sands National Monument, Brandon Nicholas Lajoie

Open Access Theses & Dissertations

Microbial communities have been commonly found to survive and thrive in arid to hyper-arid gypsic environments that are considered hostile to most other forms of life. The mechanisms through which microbes have conquered these harsh environments remain poorly understood. Here I hypothesize that the microbial communities in water-restricted gypsic settings could benefit in terms of energy and water sources via their interactions with the abundant hydrous sulfate minerals [i.e., gypsum (CaSO4·2H2O)] that build up these niches. Gypsum is of high bio-relevance because its sulfate component may be used as electron acceptor by sulfate-reducing bacteria and the crystallization water may be …

Study Of D-Electron Systems With Fermi-Lowdin Orbital Self-Interaction Correction, Prakash Mishra

Open Access Theses & Dissertations

Density Functional Theory (DFT) is one of the very popular and versatile methods for calculations to study electronic structure, and the accuracy of DFT depends on the approximation used in the exchange-correlation functional. One of the known problems with the approximation is that the widely used density functional approximations (DFA) suffer self-interaction errors. Systems with d-electrons such as transition metal oxides often show deviation of DFT predicted behavior from experimental result. SIE tends to unphysically lower the energies of fractionally occupied state which leads to deviation from piece-wise linear behavior of total energy between two integer occupations. This leads to …

Using Two-Photon Microscopy To Analyze Arabidopsis Thaliana Leaves Under Autophagy Conditions And Second Harmonic Generation In Collagen, Andres Martin Reyes

Open Access Theses & Dissertations

Two-photon microscopy has emerged as a highly efficient and effective imaging tool for biological samples. This can be utilized in studying recently emerging technologies and conditions such as the autophagy process in arabidopsis thaliana leaves and second harmonic generation in collagen. Both of these areas of study utilize the two-photon microscopy practice effectively in uncovering more information of the biological nature of examined samples.

On The Performance Of Variable Selection And Classification Via Rank-Based Classifier, Md Showaib Rahman None Sarker

Open Access Theses & Dissertations

In high-dimensional gene expression data analysis, the accuracy and reliability of cancer classification and selection of important genes play a very crucial role. To identify these important genes and predict future outcomes (tumor vs. non-tumor), various methods have been proposed in the literature. But only few of them take into account correlation patterns and grouping effects among the genes. In this article, we propose a rank-based modification of the popular penalized logistic regression procedure based on a combination of l1 and l2 penalties capable of handling possible correlation among genes in different groups. While the l1 penalty maintains sparsity, the …

Characterization And Geochemistry Of Carbonate Caprock Associated With The Gypsum Valley Salt Wall, Paradox Basin, Colorado: Implications For Understanding Lateral Caprock Emplacement, Piper Lee Poe

Open Access Theses & Dissertations

On the northeastern side of Gypsum Valley salt wall in the Paradox Basin of Colorado, discontinuous exposures of layered gypsum and carbonate rocks were previously mapped as the contact between diapiric Paradox Formation and marine limestone of the Pennsylvanian Honaker Trail Formation. Utilizing new and existing mapping, petrographic and isotopic geochemical analyses, this study reinterprets this zone to represent lateral gypsum and carbonate caprock that formed in the Triassic during passive rise of the Gypsum Valley salt wall. Gypsum Valley lateral carbonate caprock can be distinguished from Pennsylvanian and Permian depositional carbonate strata exposed elsewhere on the salt wall by …

Massively Parallel Computational Studies Of Material Response At High Strain Rate Deformation, Jayalath Abeywardhana Mudiyanselage Madawa Abeywardhana

Open Access Theses & Dissertations

Large scale molecular dynamics (MD) simulations are now commonly utilized to study materials at extreme conditions: high pressure and/or temperatures and ultra-high strain rates of deformation. A variety of emerging architectures such as general purpose graphics processing units (GP-GPU) and many-integrated core (MIC) architecture as well as new execution models have changed the traditional approach of high-performance computing. ExMatEx, the DoE initiative for enabling exa-scale (10^18 flops) performance in scientific applications, has developed several proxy applications to facilitate co-design of novel algorithms and hardware by software developers and microchip vendors.

We have used CoMD, a proxy application for classical MD, …