Digital Commons Network^™

Divergent Trophic Responses Of Sympatric Penguin Species To Historic Anthropogenic Exploitation And Recent Climate Change, Kelton Mcmahon, Chantel I. Michelson, Tom Hart, Matthew D. Mccarthy, William P.P. Patterson, Michael J. Polito

Graduate School of Oceanography Faculty Publications

The Southern Ocean is in an era of significant change. Historic overharvesting of marine mammals and recent climatic warming have cascading impacts on resource availability and, in turn, ecosystem structure and function. We examined trophic responses of sympatric chinstrap (Pygoscelis antarctica) and gentoo (Pygoscelis papua) penguins to nearly 100 y of shared environmental change in the Antarctic Peninsula region using compound-specific stable isotope analyses of museum specimens. A century ago, gentoo penguins fed almost exclusively on low-trophic level prey, such as krill, during the peak of historic overexploitation of marine mammals, which was hypothesized to have …

Upper Ocean Distribution Of Glacial Meltwater In The Amundsen Sea, Antarctica, Louise C. Biddle, Brice Loose, Karen J. Heywood

Graduate School of Oceanography Faculty Publications

Pine Island Ice Shelf, in the Amundsen Sea, is losing mass due to increased heat transport by warm ocean water penetrating beneath the ice shelf and causing basal melt. Tracing this warm deep water and the resulting glacial meltwater can identify changes in melt rate and the regions most affected by the increased input of this freshwater. Here, optimum multiparameter analysis is used to deduce glacial meltwater fractions from independent water mass characteristics (standard hydrographic observations, noble gases, and oxygen isotopes), collected during a ship-based campaign in the eastern Amundsen Sea in February–March 2014. Noble gases (neon, argon, krypton, and …

Microstructure Evolution Of Chalcogenide Materials Via Molecular Dynamics, Sharmin Abdullah

Open Access Theses & Dissertations

The properties of a material are defined by its granular microstructure which is determined by its grain evolution and the types of grain boundaries present in the structure. For example, the performance of Cadmium Sulfide/Cadmium Telluride (CdS/CdTe) solar cells can be affected by the presence of grain boundaries which makes the study of grain structure evolution a very important part of solar cell performance optimization. Grain boundary mobilities are important properties in material science and engineering as they determine grain structures under given processing and operating conditions.

In this thesis, several computational tools were used to analyze the formation and …

Confidence Intervals For The Expected P-Value, Emmanuel Kofi Abrefa

Open Access Theses & Dissertations

The p-value is widely used in many application fields. In common practice, a scientific finding is deemed statistically significant if its resultant p-value is less than a pre-specified significance level, for example α = 0.05, albeit many statistically significant results are not reproducible in new studies. Mixed reasons including misuses, abuses, misunderstanding and misinterpretation arouse intensive debates and conservatives around the p-value from time to time over the years. Yet no reasonable solutions have been proposed. In this research, we make efforts to close the gap by advocating the use of confidence level for the expected p-value p0. This allows …

Ethical Leadership, David A. Armstrong

Intercultural Human Rights Law Review

Our world is in desperate need of Ethical Leaders. In turmoil, it tumbles toward the abyss of hatred, violence, and anarchy. The cry for leaders with an authentic ethical agenda dedicated to the common good rises, and it assumes increasing urgency. This contribution is meant to honor John and June Mary Makdisi, intellectual and moral leaders of the academy. Their upcoming retirement provides the welcome occasion to reflect on responsible leadership in the necessarily joint universe of law and morality. This essay undertakes to delimit the proper understanding of ethical leadership, provides historical examples, and explores the question as to …

Towards The Application Of Recommender Systems To Secure Coding, Fitzroy D. Nembhard, Marco M. Carvalho, Thomas C. Eskridge

Electrical Engineering and Computer Science Faculty Publications

Secure coding is crucial for the design of secure and efficient software and computing systems. However, many programmers avoid secure coding practices for a variety of reasons. Some of these reasons are lack of knowledge of secure coding standards, negligence, and poor performance of and usability issues with existing code analysis tools. Therefore, it is essential to create tools that address these issues and concerns. This article features the proposal, development, and evaluation of a recommender system that uses text mining techniques, coupled with IntelliSense technology, to recommend fixes for potential vulnerabilities in program code. The resulting system mines a …

Fuzzy Inference System Framework To Prioritize The Deployment Of Resources In Low Visibility Traffic Conditions, Luz C. Ortega, Luis Daniel Otero, Carlos Otero

Electrical Engineering and Computer Science Faculty Publications

Tasks related to traffic and safety operations under low visibility conditions remain a challenge for transportation agencies nationwide. Transportation managers are required to model weather and road variables to make operational decisions, while simultaneously prioritizing the deployment of available resources. This research presents a fuzzy inference system (FIS) framework to assist transportation managers with prioritizing the deployment of resources to areas of low visibility originated by fog. The framework is composed of three fuzzy systems that characterize fog occurrence, road risk conditions, and deployment of resources. Fuzzy logic is considered a decision-making technique that could be effectively applied when dealing …

Dimension Reduction Using Quantum Wavelet Transform On A High-Performance Reconfigurable Computer, Naveed Mahmud, Esam El-Araby

Electrical Engineering and Computer Science Faculty Publications

The high resolution of multidimensional space-time measurements and enormity of data readout counts in applications such as particle tracking in high-energy physics (HEP) is becoming nowadays a major challenge. In this work, we propose combining dimension reduction techniques with quantum information processing for application in domains that generate large volumes of data such as HEP. More specifically, we propose using quantum wavelet transform (QWT) to reduce the dimensionality of high spatial resolution data. The quantum wavelet transform takes advantage of the principles of quantum mechanics to achieve reductions in computation time while processing exponentially larger amount of information. We develop …

A Data-Driven Network Approach For Characterization Of Political Parties’ Ideology Dynamics, Josemar Faustino, Hugo Barbosa, Eraldo Ribeiro, Ronaldo Menezes

Electrical Engineering and Computer Science Faculty Publications

Political ideology is a major social phenomena that plays a crucial role in the formation and dynamics of ideologically-aligned social groups. This alignment gives rise to some of the most powerful social structures in modern democracies, the political parties. Due to the influence and importance of political parties in society, estimating their ideology is an active topic in political science research. However ideology is a very subjective phenomena and existing quantitative methods for ideology estimation are susceptible to a variety estimation issues, specially when applied in multi-partisan systems. In this work, we developed a data-driven network model for political ideology …

Dimensionality Of Magnetism In Trirutile Cota2o6 And Its Derivatives, Raju Baral

Open Access Theses & Dissertations

In this thesis, we addressed the question of low dimensionality of trirutile compound CoTa2O6 and studied how the low dimensionality evolved with doping of Mg on Co-site. In order to study low dimensionality in CoTa2O6 and its derivative compounds Co1-xMgxTa2O6 (x = 0.1, 0.3, 0.5, 0.7, and 1), we used different techniques: X-ray diffraction, magnetic susceptibility, magnetization, specific heat and elastic neutron diffraction. We have addressed the question of low dimensional magnetism of CoTa2O6 by preparing phase-pure samples of the compound. In CoTa2O6 a broad feature is observed in magnetic susceptibility at 10 K and an antiferromagnetic phase transition is …

Towards Multiple Model Approach To Bridge Deterioration, Jin A. Collins

Open Access Theses & Dissertations

The Intermodal Surface Transportation Efficiency Act of 1991 (ISTEA) marked the start of a new era in transportation in the United States. ISTEA required transportation agencies to take a proactive approach to planning and management of their assets. This included requirements for managing pavement, bridges, safety, congestion, public transportation, and intermodal systems. For horizontal transportation assets (i.e., bridges and pavement), deterioration modeling is an essential tool (Yanev and Chen 1993). Since ISTEA, Bridge Management Systems (BMS) have been utilized to inform decision-making regarding bridge projects such as maintenance, rehabilitation, and replacement (MR&R) under financial limitations (Agrawal, Kawaguchi, and Chen 2010). …

Comparative Study Of Analytical Models Of The Gruneisen Parameter Of Metals As Function Of Pressure, Celia Garcia Amparan

Open Access Theses & Dissertations

Commonly used Gruneisen parameter (γ) models only hold accurate in limited regimes making them inapplicable for use over wide temperature-pressure conditions. The accuracy of these analytical models of γ and of the thermal expansion of solids are of particular interest as these are considered proxies for quantifying anharmonicity, which may be a significant contribution to the thermal pressure at high temperatures. This work reviews various definitions of γ and their relations to the equations of state and apply them to two simple metals: Tantalum (Ta) and Copper (Cu), for which a high body of experimental data exists. Classical Molecular Dynamics …

Energy Efficiency And Fatigue Failure On Gears And Bearings For Processing Rebar Steel, Jesus Gabriel Garcia

Open Access Theses & Dissertations

Steel industry is a major emitter of air pollutants, a leading industrial consumer of water, a minor source of contaminated liquids, a massive producer of solid waste, and a significant source of CO2. The objective on this thesis work is to minimize the greenhouse gas emissions when processing steel. Gears and bearings were evaluated based on their performance when exposed to cyclic stresses. The importance for having a proper set up on rolling mills to increase efficiency for processing rebar steel has been detailed on paper. In contrast, mechanical vibration has been measured on gears and bearings to determine efficiency …

Inverse Gaussian Ornstein-Uhlenbeck Applied To Modeling High Frequency Data, Emmanuel Kofi Kusi

Open Access Theses & Dissertations

With about 226050 estimated deaths worldwide in 2010, an earthquake is considered as one of the disasters that records a great number of deaths. This thesis develops a model for the estimation of magnitude of future seismic events.

We propose a stochastic differential equation arising on the Ornstein-Uhlenbeck processes driven by IG(a,b) process. IG(a,b) Ornstein-Uhlenbeck processes offers analytic flexibility and provides a class of continuous time processes capable of exhibiting long memory

behavior. The stochastic differential equation is applied to geophysics and financial stock markets by fitting the superposed IG(a,b) Ornstein-Uhlenbeck model to earthquake and financial time series.

Access Points And Weave Lengths For Automated Truck Lanes At Two Closely Spaced Interchanges, Ximena Jauregui

Open Access Theses & Dissertations

The increase of traffic on major U.S. roadways has motivated the implementation of new technologies and better management of the transportation infrastructure, including managed lanes on freeways. Dedicated truck lanes, a type of managed lane, are increasingly attracting attention since truck freight is continuously increasing and trucks have greater impact on traffic flow relatively to cars. Truck-only managed lanes allow trucks to travel at their own speeds in an exclusive lane with no passenger vehicles on the way; likewise, vehicles on the main lanes of the freeway will have fewer trucks to travel with.

As truck-only managed lanes are being …

Electron Binding Energy Of Polar Molecules Using Fermi Löwdin Orbital Self Interaction Corrected Density Functional Scheme, Peter Obinna Ufondu

Open Access Theses & Dissertations

Density functional theory (DFT) has become a standard method for electronic structure calculations in physics. The standard approximate density functional usually do not bind this class of anions, due to self-interaction error (SIE). We apply the recently developed Fermi Löwdin orbitals based self-interaction correction method (FLOSIC) with long-range diffuse Gaussian functions to study dipole bound anions and negatively charged water clusters. These calculations are carried out using Perdew-Wang (1992) local spin density PW91-LDA, Perdew-Burke-Ernzerhof PBE-GGA, and the recently developed Strongly Constrained and Appropriately Normed SCAN-meta-GGA functional which satisfies all the known constraints for exchange-correlation functional. Plot from FLOSIC density difference …

Preclinical Models Of Metastatic Disease, Paloma Alejandra Valenzuela

Open Access Theses & Dissertations

Breast cancer is a disease that continues to take the life of approximately 40,000 men and women in the United States each year [1]. Tumor drug resistance represents a major problem for the treatment of many breast cancer patients. The mechanisms underlying such resistance remain to be elucidated, and one approach to study this issue involves the development of tumor drug-resistant breast cancer models in mice. HER-2 positive breast cancer is considered to be one of the most aggressive subtypes of breast cancer and has become a major target for treatment. HER-2 status is a routinely checked marker for breast …

From Mistakes, We Learn: Variations In Teacher Dis/Position Toward Errors In Mathematics Classrooms, Mariana Alvidrez

Open Access Theses & Dissertations

Mistakes are commonly perceived by students and teachers as an evidence of a lack of knowledge and ability (Brown, & Quinn, 2006). Recently, U.S. and Mexico mathematics education reforms has been calling to promote a positive status of errors in mathematics teaching and learning.

The purpose of this mixed-methods study is to examine secondary mathematics teachers' dis/positions toward mistakes in two contexts: their own mistakes and their students' mistakes. The study employs the frame of teacher dispositional functions (Beyers, 2011) which includes cognitive, affective, and conative characteristics. The frame provides a better understanding of teachers' dis/positions toward errors based on …

Quantifying Early-Age Concrete Mechanical Properties And Curing Conditions Utilizing An Automated System, Benjamin Arras

Open Access Theses & Dissertations

The validation of concrete quality based on the 28-day strength is a lengthy process. Predicting concrete mechanical properties through early-age methods can streamline the construction process. Early-age concrete behavior consists of assessing the concrete curing as-related to setting stages, the hydration process, strength and stiffness development, while considering various environmental system parameters. This paper reports on a nondestructive method for observing the early-age strength and modulus development of concrete mixes over seven days in a controlled, laboratory setting. An apparatus was designed and built for continuous acquisition of seismic modulus data (using free-free resonant column) and heat of hydration/maturity information …

The Influence (Or Lack Thereof) Of Stereotypes On Spontaneous Trait Inferences, Jessica Renee Bray

Open Access Theses & Dissertations

Research has shown that people spontaneously make trait inferences from observing others perform behaviors. The present research presents two experiments that examined the influence of stereotypes on spontaneous trait inferences. Experiment 1 utilized the recognition probe paradigm, a traditional method of assessing spontaneous trait inferences. Experiment 2 controlled for potential biases (e.g. priming effects and linguistic properties) by modifying the recognition probe paradigm. Results showed support for spontaneous trait inferences only with the traditional recognition probe paradigm. Stereotypes only influenced the accuracy of spontaneous trait inferences with the traditional recognition probe paradigm. The current results suggest that the traditional recognition …

Novel Methods For The Inactivation Of Cruzain For The Prevention And Treatment Of Chagas Disease, Veronica Gonzalez

Open Access Theses & Dissertations

Chagas Disease, also known as American Trypanosomiasis, is endemic to Latin American and is gradually making its way to other countries. The disease is caused by Trypanosoma cruzi, a protozoan parasite that causes lesions and inflammation of organs including the heart, esophagus, and colon. Over 30% of people infected will develop heart disease which can be fatal if untreated. While no vaccine is yet available, research is currently being conducted in finding new treatments for the disease. One target is an enzyme that is believed to help the progression of the disease. Cruzain, a cysteine protease expressed as a pro-enzyme, …

Structural And Sedimentological Analysis Of The Bear Canyon Conglomerate, Southeastern California: Implications For The Timing And Style Of Miocene Deformation Within The Eastern California Shear Zone, Garrett Goff

Open Access Theses & Dissertations

The region between Indian Pass and Picacho State Recreation Area (PSRA) in southeastern California records complex deformation related to the transition from a Paleogene convergent margin to a Neogene transform setting, although the timing and nature of youngest deformation in this region remains incompletely known. A 1.7 km-thick section of Miocene Bear Canyon conglomerate (BCC) was studied to constrain this young period of deformation. These rocks lie unconformably upon 23 Ma volcanic and epiclastic rocks and a Mesozoic metamorphic basement terrane. Near PSRA the BCC contains locally derived clasts and can be further subdivided into three unconformity-bounded sequences, referred to …

An Investigation Of The Loci Of Bilingual Switch Costs During Reading Comprehension, Joseph Anthony Negron

Open Access Theses & Dissertations

In the present study, we examined whether the comprehension of language switches can be accounted for exclusively by activation dynamics within the lexicon, or whether there is evidence that cognitive general control processes outside of the lexicon are also engaged. In Experiment 1 we compared the fixation durations made on words embedded in either language pure or language switched sentences. The critical words were either cognates or non-cognate controls and served as the switch point in the language switched versions of the sentences. An overall switch cost was observed, which did not interact with cognate status or direction of the …

Hfo Detector Based On Eeg Mean Energy Change Detection, Raul Ontiveros

Open Access Theses & Dissertations

The main goal of this work is to support automated seizure prediction by identifying preictal states using multiple detectors of high-frequency oscillations (HFOs). Assessment of HFOs from a seizure onset zone may be facilitated using automatic HFO detectors. However, studies have shown that HFOs can be generated by physiological or pathological brain processes. Distinguishing between pathological and physiological HFOs is challenging due to a lack of discriminant information in signals' morphology and other characteristics. Other complicating factors include a lack of consistency in definitions of HFO frequency ranges, the need for expert verification of HFO detection, and lack of robustness …

The Role That Language Proficiency Variables Play On Grammaticality, Morphosyntax, And Semanitc Skills In Bilingual Children, Stephanie Escobar

Open Access Theses & Dissertations

Purpose: A number of experiential factors contribute to bilingual development. Factors such as opportunities to hear and use language, age of first exposure, context of learning, social value of a language, education and others have been discussed in other studies. (Bedore et al 2016; Bedore et al 2012). Language questionnaires and self-reports have been used to quantify language variables and current usage of a language. The current study was part of a larger project examining diagnostic accuracy of various assessment tools for Spanish English bilingual children living in a US/Mexico border city (Curtis, Summers, Stubbemann, & Smith, 2017). The purpose …

Assessing The Predictive Utility Of The Positive Achievement Change Tool At A Texas Juvenile Justice Agency, Elizabeth Perez Hutchins

Open Access Theses & Dissertations

In the United States, millions of youth are processed in the juvenile justice system each year. Juvenile probation officers, case managers, and clinicians have the daunting task of making critical case-processing decisions for this vulnerable population including program placement, supervision, and treatment. Moreover, juvenile justice professionals must be mindful of numerous factors such as risk to public safety and the juvenile's risk to reoffend when making these decisions. In recent years, juvenile justice agencies have employed the Risk-Need-Responsivity model, the pre-eminent evidence-based model for offender assessment and management, to aide in the decision-making process. Although implementation of risk assessment tools …

Development Of Ligand-Kinase Binding Affinity Predictive Model, Govinda Kc

Open Access Theses & Dissertations

Prediction of interaction between drugs or drug like compounds and targets, is of high importance in drug discovery process as it provides important insights into therapeutic potential and possible adverse effects. As the experimental testing would be highly expensive, laborious and time consuming, screening the molecules computationally before performing experiments would be cost effective, faster and convenient as a method of approach. In this study, I have developed computational models, leveraging machine learning techniques, to predict drug-kinase binding affinities. The predictive model is mainly built using the Random Forest (RF) machine learning method. This study is focused on kinases because …

Computational Studies On Perovskite-Metallofullerene Interface And Magnetic Properties Of Mn-Based Mixed Olivines, Bethuel Omutiti Khamala

Open Access Theses & Dissertations

Methyl ammonium lead halide (MAPbX3) perovskite based solar cells have recently emerged as promising class of materials for photovoltaic applications with efficiencies reaching over 22%. Designing interfaces with strong binding is vital to developing efficient, high-performing solar cells. Fullerene-based materials are widely employed as efficient electron acceptors and can serve as electron transporting layer in perovskite based solar cells. We have studied interfaces of methyl ammonium lead iodide MAPbI3 with Sc3N@C80 fullerene and Sc3N@C80PCBM fullerene derivate within the density functional formalism. Different surface terminations and orientations of the methyl ammonium are examined for binding of the fullerene layer. Our calculated …

A Bottom-Up Modeling Methodology Using Knowledge Graphs For Composite Metric Development Applied To Traffic Crashes In The State Of Texas, Daniel Michael Mejia

Open Access Theses & Dissertations

Data is a key factor for understanding real-world phenomena. Data can be discovered and integrated from multiple sources and has the potential to be interpreted in a multitude of ways. Traffic crashes, for example, are common events that occur in cities and provide a significant amount of data that has potential to be analyzed and disseminated in a way that can improve mobility of people, and ultimately improve the quality of life. Improving the quality of life of city residents through the use of data and technology is at the core of Smart Cities solutions. Measuring the improvement that Smart …

La Muralla Stories, Irma Leticia Nikicicz

Open Access Theses & Dissertations

La Muralla Stories is a short story collection depicting Tex-Mex characters within the geographical and social context of the U.S.-Mexico border.