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Articles 22681 - 22710 of 24622
Full-Text Articles in Entire DC Network
Influence Of Overlay Thickness On Interface Bonding, Aliasghar Dormohammadi
Influence Of Overlay Thickness On Interface Bonding, Aliasghar Dormohammadi
Open Access Theses & Dissertations
Overlaying is an efficient and proven pavement preservation approach for flexible pavements. The overlay thickness varies from 1 in. to 4 in. depending on the conditions of the existing pavement, financial resources, etc. In the recent decade, financial constraints in conjunction with the push for pavement preservation, the overlay thickness is being reduced to less than an in. The ultra-thin overlay is a new cost-effective method that can be used to preserve functional pavement problems and provide satisfactory ride quality. Although studies have been conducted to evaluate pavement systems using numerical simulation, the research in the area of evaluating existing …
Structural Modifications In The Rbxcs1-Xpo 4 (0 ≤ X ≤ 1) Superprotonic Conductor Series: A Single-Crystal X-Ray Diffraction And Impedance Spectroscopy Study, Andres Jose Encerrado Manriquez
Structural Modifications In The Rbxcs1-Xpo 4 (0 ≤ X ≤ 1) Superprotonic Conductor Series: A Single-Crystal X-Ray Diffraction And Impedance Spectroscopy Study, Andres Jose Encerrado Manriquez
Open Access Theses & Dissertations
We have used single-crystal X-ray diffraction measurements to investigate the structural modifications induced by Rb-doping of the protonic conductor CsH2PO4. Data collected on the RbxCs 1-xH2PO4 (0 ≤ x ≤ 1) series shows that the monoclinic P21/m CsH2PO4 presentation persists upon Rb-doping up until x = 0.8. Rb0.8Cs0.2H2PO 4 exhibits a previously unreported P21/c monoclinic structure, where the mirror plane is lost and disorder is present in the PO4 tetrahedra even at room temperature. Higher levels of x display a tetragonal I-42d unit cell isomorphic with the known structure of RbH2PO 4. The temperature dependence of the proton conductivity determined …
Predicting Individualized Treatment Effects Via Random Forests Of Interaction Trees, Annette Pena Franco
Predicting Individualized Treatment Effects Via Random Forests Of Interaction Trees, Annette Pena Franco
Open Access Theses & Dissertations
Abstract Not Available
Behavior Of Sandwich Composite Cores Under Extreme Conditions, Carlos Daniel Garcia Perez
Behavior Of Sandwich Composite Cores Under Extreme Conditions, Carlos Daniel Garcia Perez
Open Access Theses & Dissertations
The use of composite structures for diverse applications have become of great interest for scientists and engineers thanks to the advantages that they may offer in comparison to conventional materials. In the case of sandwich composite structures, its mechanical properties can be tailored according to the necessities through the correct selection of a core and facesheets. In combination, this "new" material will have superior properties compared to traditional materials such as steel and aluminum. For arctic exploration, a core with low moisture absorption, low density, and resistance to extreme, low temperatures is desirable for this type of application. This Thesis …
Spectroscopic And Microscopic Analysis Of Graphene For Sensor Applications, Tamanna Tasneem Khan
Spectroscopic And Microscopic Analysis Of Graphene For Sensor Applications, Tamanna Tasneem Khan
Open Access Theses & Dissertations
As a two-dimensional material, graphene shows very good thermal and electrical conductivities, which, with its unique optical properties, makes it suitable for a variety of applications. In this study, we present detailed investigations by confocal Raman and Drude model analysis of the material's changes and improvements, as it transitioned from 3D graphite to 2D graphene. Besides Raman spectral recording, which can detect single, a few, and multi-layers of graphene, confocal Raman mapping allows distinction of such domains and direct visualization of material inhomogeneity. Moreover, far-infrared transmittance measurements, which are related to electrical conductivity, demonstrate a distinct increase of conductivity with …
Cost-Effective Recovery Of Concentrated Cooling Tower Blowdown Using The Cerro Process, Lindsey Nicole Larson
Cost-Effective Recovery Of Concentrated Cooling Tower Blowdown Using The Cerro Process, Lindsey Nicole Larson
Open Access Theses & Dissertations
The Concentrate Enhanced Recovery Reverse Osmosis (CERRO) process is a seawater-RO unit that can cost-effectively achieve extremely high recoveries from water high in silica, carbonate and sulfate concentrations. This relatively new technology takes advantage of the induction time of potential foulants to recover more water than what is normally achievable with a conventional desalination system. The scope of the project was to evaluate the efficiency of the CERRO process as a pilot study using cooling tower blowdown which varied in water quality parameters daily. It was found that the CERRO pilot could successfully achieve 85% recovery, and the main limitation …
An Echo Of Swelling Voices, A Meta-Fictional Novella, Adolfo Danilo Lopez
An Echo Of Swelling Voices, A Meta-Fictional Novella, Adolfo Danilo Lopez
Open Access Theses & Dissertations
Horacio P. is an exiled Nicaraguan American poet living and teaching in Austin, Texas since the 1970s. Despite his enormous reputation and highly supportive wife, he feels incapable to write his last, and best, novel. This novel is about the life of Asdreni, an Albanian poet who was also exiled in Romania during the time before World War II, and his quest to find out who sent him a mysterious box containing the unpublished manuscripts of an unknown poet. One day, Horacio himself also receives a mysterious box containing the unpublished manuscripts of an unknown poet. His novel and his …
Integration Of Heterogeneous Traffic Data To Address Mobility Challenges In The City Of El Paso, Daniel Michael Mejia
Integration Of Heterogeneous Traffic Data To Address Mobility Challenges In The City Of El Paso, Daniel Michael Mejia
Open Access Theses & Dissertations
Transportation performance measures are defined as quantitative and qualitative indicators that rely on data or information to explain mobility, traffic congestion, safety, environmental sustainability and other factors. Although performance measures have been used for freeways and other highways, not many have been specified and applied to the freight transportation system. Under the Fixing America's Surface Transportation Act (FAST Act), state transportation agencies and metropolitan planning organizations in the United States are implementing freight performance measurement systems for performance assessment. This research aims to expand the existing limited freight performance measures and organize them into a comprehensive framework that can be …
Instilling Positive Beliefs About Organ Donation: An Information Processing Approach, Gerardo Jose Moreira
Instilling Positive Beliefs About Organ Donation: An Information Processing Approach, Gerardo Jose Moreira
Open Access Theses & Dissertations
The number of those seeking a kidney donation in the United States continues to increase while the number of donors is not growing at the same rate (U.S. Department of Health and Human Services USDHHS, 2010). The lack of donations is more prevalent in low health literate communities which suffer from misinformation and ultimately negative beliefs toward organ donation. Thus, it is important to understand how marketing efforts can effectively change individuals' beliefs about organ donation.
Drawing on the Self-Determination Theory and Schema Theory, I proposed that the effectiveness of health education programs, which is to motivate individuals to be …
Sample Size Estimation For Linear Mixed Models With Dependent End Points, Michael Nsiah-Nimo
Sample Size Estimation For Linear Mixed Models With Dependent End Points, Michael Nsiah-Nimo
Open Access Theses & Dissertations
The primary objective is sample size estimation in linear mixed model settings. Sample size estimation is an important component of planning a well thought out scientific experiment. Whenever sample size estimation is performed, taking into account a priori model based inferences will provide a sample size estimate that will achieve the desired power without inflating the type I error rate of the study.
One common practice is a traditional approach cited in the literature that uses the largest sample size after you Bonferroni the type I error rate to estimate sample sizes as such. We are going to take into …
Electronic Structures Of Magnetic Endohedral Fullerene And Application Of Self Interaction Correction To Atoms, Kamal Nyaupane
Electronic Structures Of Magnetic Endohedral Fullerene And Application Of Self Interaction Correction To Atoms, Kamal Nyaupane
Open Access Theses & Dissertations
Endohedral fullerenes, which represent a novel family of carbon nanostructures, are fullerene cages with atoms, ions or clusters trapped in their cavities. The encapsulated molecule or cluster can determine the properties of the fullerenes as charge transfer often occurs from endohedral unit to the outer cage leading to high stability. Endohedral fullerenes hold a lot of fascinating properties with potential applications in biomedicine, molecular electronics and photonics etc. In this work, novel endohedral fullerenes containing transition metal oxide cubane cluster are studied for possible magnetic properties. The motivation is to examine whether the encapsulation can lead to stabilized transition metal …
Evaluating Binary Splits On Nominal Inputs, Isaac Xoese Ocloo
Evaluating Binary Splits On Nominal Inputs, Isaac Xoese Ocloo
Open Access Theses & Dissertations
The maximally selected statistic approach in building tree models is shown to be a cause of variable selection bias. In this study we propose three methods to solve this problem in building regression trees with nominal predictor variables. Out of the three methods
proposed we explored only two in detail and defer one for further research. We developed an exact method to compute the p-value corresponding to the maximized splitting statistic in regression trees for nominal predictor variables with at most 10 distinct levels and a
method to estimate the best cutoff point as a parameter in a parametric nonlinear …
Compressive Vector Reconstruction: Hypothesis For Blind Image Deconvolution, Alonso Orea Amador
Compressive Vector Reconstruction: Hypothesis For Blind Image Deconvolution, Alonso Orea Amador
Open Access Theses & Dissertations
Alternative imaging devices propose to acquire and compress images simultaneously. These devices are based on the compressive sensing (CS) theory. A reduction in the measurement required for reconstruction without a post-compression sub-system allows imaging devices to become simpler, smaller, and cheaper. In this research, we propose a new algorithm to compress and reconstruct blurred images for CS imaging devices. Blur effect in images is common due to relative motion, lens, limited aperture dimensions, lack of focus, and/or atmospheric turbulence. Our intention is to compress a blurred image with CS techniques and then reconstruct a blur-free version using the proposed algorithm. …
Airborne Lead In El Paso, Texas, Usa, Lisa Marie Paz
Airborne Lead In El Paso, Texas, Usa, Lisa Marie Paz
Open Access Theses & Dissertations
Despite significant strides to minimize lead in our air, water, soil, food, homes, workplaces, and consumer products, sporadic and systemic lead poisoning persists in industrial societies, e.g., the contemporary Flint (Michigan, USA) municipal water tragedy. Because lead exposure is cumulative, the sum of exposure from all sources, it is important to document and update potential community or neighborhood exposure levels from such environmental compartments as air, water, and housing. Here we present ambient airborne lead levels in El Paso, Texas, USA, parsed by particulate matter (PM) size fraction, geography, and season. Dichotomous samplers at 8 stations collected particulate matter continuously …
Automatic Patch Classification And Diffusion In Adaptive, Luis Alonso Ponce
Automatic Patch Classification And Diffusion In Adaptive, Luis Alonso Ponce
Open Access Theses & Dissertations
Multi-Frame image restoration is a form of Super-Resolution (SR) which consists of combining multiple Low-Resolution (LR) images in order to reconstruct a single High Resolution (HR) image. In this Thesis we improved a spatially-adaptive SR scheme, based on the framework of Optimal Recovery (OR), whereby the block-by-block processing is done based on the properties of the corresponding local LR image data patches. The bandwidth parameter is adapted based on the local variance of each corresponding block from all LR images that contribute to the HR image block to be reconstructed. Also, an optimal regularization parameter needs to be chosen for …
Describing Data And Workflow Provenance Using Design Patterns And Controlled Vocabularies, Smriti Rajkarnikar Tamrakar
Describing Data And Workflow Provenance Using Design Patterns And Controlled Vocabularies, Smriti Rajkarnikar Tamrakar
Open Access Theses & Dissertations
In any scientific experiment, researchers are required to access, compute, and analyze data to produce useful information to the scientific community. In order to instill trust on such scientific research products, the product users need to understand the procedure applied and the assumptions incorporated. The reuse and replication of reliable scientific data need methods that help the users to understand data origin and the derivation process, i.e. provenance. Although several standards for representing provenance such as PROV model (a W3C recommendation) have been recommended, they have not been widely utilized by scientific communities due to difficulty in aligning such recommended …
Cycling Of Gypsiferous White Sands Aerosols In The Shallow Critical Zone At White Mountain, New Mexico, Patrick Richard Rea
Cycling Of Gypsiferous White Sands Aerosols In The Shallow Critical Zone At White Mountain, New Mexico, Patrick Richard Rea
Open Access Theses & Dissertations
Dry deposition significantly affects evolution of the critical zone by nutrient supply and contributing to soil genesis. Dust influx and cycling in soils are difficult to quantify because dust sources can be chemically similar to local soils. White Sands, New Mexico, emits gypsum dust with a unique chemical and isotopic signature, providing an opportunity to investigate dust deposition and its movement in soils. This study evaluated the mobility of White Sands dust particles in the critical zone at White Mountain, New Mexico, a highland 100 km downwind. Four soil profiles were collected over limestone, igneous, mixed limestone and dolostone, and …
Household Water Consumption In El Paso, Texas: Perceptions And Behaviors Towards Water In Urban Households, Diego Armando Sanchez
Household Water Consumption In El Paso, Texas: Perceptions And Behaviors Towards Water In Urban Households, Diego Armando Sanchez
Open Access Theses & Dissertations
The main objective of this research is to determine perceptions and behaviors of household water consumption and to examine how those may affect the patterns of water use and consumption levels in households of El Paso, Texas.
I conducted a qualitative exploratory research to collect important data that is often left unexplored in quantitative research. The collected data is a mixture of qualitative and quantitative. I do report the quantitative data using descriptive statistics, which help the reader see basic patterns in the study.
Qualitative data can help to understand the reasons that impact water consumption perceptions and behaviors in …
Experimental Investigation Of Cryogenic Convection And Boiling In Traditionally And Additively Manufactured Rocket Engine Cooling Channels, Armando Sandoval
Experimental Investigation Of Cryogenic Convection And Boiling In Traditionally And Additively Manufactured Rocket Engine Cooling Channels, Armando Sandoval
Open Access Theses & Dissertations
The Center for Space Exploration and Technology Research at the University of Texas at El Paso, has designed, built, and optimized an experimental high heat flux test facility to investigate the heat transfer coefficient of liquid methane and other cryogenic propellants for regenerative cooled rocket engine design. The system is composed of a copper conduction based thermal concentrator that delivers heat flow into a single sub-scaled cooling channel (test article). This study focuses on optimizing this design of the high heat flux test facility to develop a more accurate method for measuring the conductive heat flow going into the cooling …
Near-Surface And High Resolution Seismic Imaging Of The Bennett Thrust Fault In The Indio Mountains Of West Texas, Alan Thomas Vennemann
Near-Surface And High Resolution Seismic Imaging Of The Bennett Thrust Fault In The Indio Mountains Of West Texas, Alan Thomas Vennemann
Open Access Theses & Dissertations
My research investigates the structure of the Indio Mountains in southwest Texas, 34 kilometers southwest of Van Horn, at the UTEP (University of Texas at El Paso) Field Station using newly acquired active-source seismic data. The area is underlain by deformed Cretaceous sedimentary rocks that represent a transgressive sequence nearly 2 km in total stratigraphic thickness. The rocks were deposited in mid Cretaceous extensional basins and later contracted into fold-thrust structures during Laramide orogenesis. The stratigraphic sequence is an analog for similar areas that are ideal for pre-salt petroleum reservoirs, such as reservoirs off the coasts of Brazil and Angola …
Emergent Bilinguals' Engagement In An Online Mathematics Course Utilizing An Intelligent Tutoring System, Julian Viera Jr
Emergent Bilinguals' Engagement In An Online Mathematics Course Utilizing An Intelligent Tutoring System, Julian Viera Jr
Open Access Theses & Dissertations
Students in today's digital world draw from multiple sources of information, hypertext, videos, educational software, social media, and video games to create a multimodal learning environment (Luke, 2005). In 1994, Griffiths, et al. (1994) found that the impact of information technology on oppressed cultures hampered their education when the technology was not available in their native language and culture. Students from countries that did not have the resources to develop software in their native language felt that their language and culture did not relate to the modern world. When these students arrived in the United States and found technology in …
Biochemical Characterization Of Wild-Type Hsp27 And Point Mutation S135f That Leads To Neurodegenerative Disease, Janelly Villalobos
Biochemical Characterization Of Wild-Type Hsp27 And Point Mutation S135f That Leads To Neurodegenerative Disease, Janelly Villalobos
Open Access Theses & Dissertations
HSPB1, also classified as heat shock protein 27 (Hsp27), is a small chaperone that is active in cells during stressful conditions. The chaperone can stabilize target proteins in a non-aggregated folding state and might be involved in regulation of folding and assembly of neurofilaments. There are five mutations in the genome of Hsp27 that are involved in Charcot Marie Tooth Disease (CMT). This neurodegenerative disease is characterized by the first decades of life where it slowly progresses to weakness of muscles followed by sensory loss and skeletal deformities. CMT is the most common hereditary neuromuscular disease, with an estimated rate …
Image Data Mining For Quality Control Of Nanofiber Reinforced Piezoelectric Nanocomposites Based On Sem Images, Zhonghua Hu
Image Data Mining For Quality Control Of Nanofiber Reinforced Piezoelectric Nanocomposites Based On Sem Images, Zhonghua Hu
Open Access Theses & Dissertations
Recently, portable and wireless nano-scaled devices have been widely used in environmental monitoring, medical implants, defense technology, industrial safety, and personal electronics, such as the nanowire-based gas and chemical sensors and programmable nanowire circuit for nano-processors. There has been an increasing demand for high energy density capacitors that can be engineered for various applications in advanced devices. In it, piezoelectric nanofiber materials play critical role in producing new products. A piezo-ceramic polymer composite contains a polymer of high dielectric strength and high permittivity ceramic inclusions, making it well suited as a high energy density capacitor. Furthermore, the research shows that …
Dft Study Of Adsorption Of Trimetallic Endohedral Fullerenes On Graphene, Nakul Nitin Karle
Dft Study Of Adsorption Of Trimetallic Endohedral Fullerenes On Graphene, Nakul Nitin Karle
Open Access Theses & Dissertations
A density functional theory (DFT) study on the geometric and electronic structure of C60 and Sc3N@C80 along with their adsorption on pristine single layer graphene (SLG) is presented. C60 is found to adsorb in two nearly degenerate configurations: (i) with a pentagon facing the SLG, which is the most stable one, and (ii) with a hexagon facing the SLG in a face-to-face perfect alignment, rarely common in Ï?â??Ï? interactions, 0.06 eV higher in energy. The calculated binding energy of 0.76 eV, which includes dispersion effects, is in good agreement with previous theoretical and experimental reports. On the contrary, Sc3N@C80 adsorption …
Renewable Energy Systems Optimization Using Monte Carlo Simulation And Evolutionary Algorithms, Nicolas Lopez
Renewable Energy Systems Optimization Using Monte Carlo Simulation And Evolutionary Algorithms, Nicolas Lopez
Open Access Theses & Dissertations
This Dissertation explores the Renewable Energy Integration Problem, and proposes a Genetic Algorithm embedded with a Monte Carlo simulation to solve large instances of the problem that are impractical to solve via full enumeration. The Renewable Energy Integration Problem is defined as finding the optimum set of components to supply the electric demand to a hybrid
microgrid. The components considered are solar panels, wind turbines, diesel generators, electric batteries, connections to the power grid and converters, which can be inverters and/or rectifiers. The methodology developed is explained as well as the combinatorial formulation. In addition, 2 case studies of a …
Nonperturbative Evolution Of Parton Quasi-Distributions, A. V. Radyushkin
Nonperturbative Evolution Of Parton Quasi-Distributions, A. V. Radyushkin
Physics Faculty Publications
Using the formalism of parton virtuality distribution functions (VDFs) we establish a connection between the transverse momentum dependent distributions (TMDs) F(x,k2⊥) and quasi-distributions (PQDs) Q(y,p3) introduced recently by X. Ji for lattice QCD extraction of parton distributions f(x). We build models for PQDs from the VDF-based models for soft TMDs, and analyze the p3 dependence of the resulting PQDs. We observe a strong nonperturbative evolution of PQDs for small and moderately large values of p3 reflecting the transverse momentum dependence of TMDs. Thus, the study of PQDs on the lattice …
Adaptive Behaviour In Evolving Robots, Jônata Tyska Carvalho
Adaptive Behaviour In Evolving Robots, Jônata Tyska Carvalho
School of Engineering, Computing and Mathematics Theses
In this thesis, the evolution of adaptive behaviour in artificial agents is studied. More specifically, two types of adaptive behaviours are studied: articulated and cognitive ones. Chapter 1 presents a general introduction together with a brief presentation of the research area of this thesis, its main goals and a brief overview of the experimental studies done, the results and conclusions obtained. On chapter 2, I briefly present some promising methods that automatically generate robot controllers and/or body plans and potentially could help in the development of adaptive robots. Among these methods I present in details evolutionary robotics, a method inspired …
Data Analytics In Performance Of Kick-Out Distribution And Effectiveness In Senior Championship Football In Ireland, Roisin Donnelly, Darragh Daly
Data Analytics In Performance Of Kick-Out Distribution And Effectiveness In Senior Championship Football In Ireland, Roisin Donnelly, Darragh Daly
Journal Articles
n recent years, data analytics has been a growing phenomenon in many fields, including sport, and there has been an increased focus on how technology will impact the work of coaching andperformance professionals. This paper provides a reflection of the use of data analytics within the Gaelic Athletic Association’s (GAA) football coaching practice in Ireland, and evaluates for coaches how to enhance kick- out distribution and effectiveness. Specifically, the study aimed to dissect and analyse kick- out strategies to assess from a coaching perspective, the impact on distribution andeffectiveness. The research is a …
Molecular Dynamics Studies Of Crystal Growth Phenomena In Cdte Based Heterostructures, Rodolfo Aguirre Ii
Molecular Dynamics Studies Of Crystal Growth Phenomena In Cdte Based Heterostructures, Rodolfo Aguirre Ii
Open Access Theses & Dissertations
Cadmium telluride (CdTe) is a material used to make solar cells because it absorbs the sunlight very efficiently and converts it into electricity. However, CdTe modules suffer from degradation of 1% over a period of 1 year. Improvements on the efficiency and stability can be achieved by designing better materials at the atomic scale. Experimental techniques to study materials at the atomic scale, such as Atomic Probe Tomography (APT) and Transmission Electron Microscope (TEM) are expensive and time consuming. On the other hand, Molecular Dynamics (MD) offers an inexpensive and fast computer simulation technique to study the growth evolution of …
Deep Learning Method Vs. Hand-Crafted Features For Lung Cancer Diagnosis And Breast Cancer Risk Analysis, Wenqing Sun
Deep Learning Method Vs. Hand-Crafted Features For Lung Cancer Diagnosis And Breast Cancer Risk Analysis, Wenqing Sun
Open Access Theses & Dissertations
Breast cancer and lung cancer are two major leading causes of cancer deaths, and researchers have been developing computer aided diagnosis (CAD) system to automatically diagnose them for decades. In recent studies, we found that the techniques in CAD system can also be used for breast cancer risk analysis, like feature design and machine learning. Also we noticed that with the development of deep learning methods, the performance of CAD system can be improved by using computer automatically generated features. To explore these possibilities, we conducted a series of studies: the first two studies focused on transferring the original CAD …