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2014, 2015, & 2016 National Science Foundation (Nsf) Rankings By Total R&D Expenditures, Ashley Leclair, William E. Brown, Caitlin Saladino

Higher Education

This Fact Sheet presents NSF data for ten individual research universities in addition to the University of Nevada, Las Vegas (UNLV) and the University of Nevada, Reno (UNR) for the years 2014-2016. The Fact Sheet compares the NSF funding received by 10 individual research universities to the combined funding received by UNLV and UNR.

2020 Graduate Program Rankings For Unlv And Unr, Madison Frazee-Bench, Caitlin Saladino, William E. Brown

Higher Education

This Fact Sheet presents the 2020 U.S. News and World Report Graduate program rankings for the University of Nevada, Las Vegas (UNLV) and the University of Nevada, Reno (UNR). The rankings for 2020 are important when taking into consideration that both UNLV and UNR reached Carnegie R1 status in 2018. This status marks their place in the top 130 research universities in the country.

Factors Associated With Eosinophilic Esophagitis In Nevada, Julia Lorraine Anderson

UNLV Theses, Dissertations, Professional Papers, and Capstones

Eosinophilic esophagitis (EoE) is a rare immune-mediated illness with symptoms that range from difficulty swallowing to food impaction of the esophagus. Most published studies have been documented among patients residing in cool regions with significant annual rainfall. No published studies to our knowledge have been performed examining the healthcare utilization trends of EoE in Nevada. Utilizing two unique databases, the factors associated with EoE healthcare utilization patterns in Nevada were examined. All analyses were performed in R version 3.5.1. This study included a demographic and regional analysis identifying risk factors associated with having an EoE healthcare visit in Nevada. Several …

Application Of Semi-Hydrophobic Layers To Decrease Bare Soil Evaporation, Jesse Lee Barnes

UNLV Theses, Dissertations, Professional Papers, and Capstones

Evaporative water loss from bare agricultural soils is a primary area of water conservation research. Mulching is the commonly utilized method to decrease evaporative water loss. The most commonly utilized mulch is nonbiodegradable polyethylene sheeting because it tends to decrease evaporative water loss and increase crop yields more than environmentally friendly mulches. This study aimed to test the utility of sand coated with polymerized soybean oil (i.e., hydrophobic sand) as a treatment to reduce bare soil evaporation and an alternative to current practices. Evaporation rates were measured in laboratory soil columns containing both treated and untreated soils. Treatment parameters were …

Managing Iot Data On Hyperledger Blockchain, Akhil David

UNLV Theses, Dissertations, Professional Papers, and Capstones

Blockchain is a rapidly evolving technology known for its security, immutability and decentralized nature. At its heart, it’s used for storing various kinds of data like transactions. But it is not limited to just the transactions or the cryptocurrency. It can also be used to store many other things like assets, IoT data or even multimedia data like songs, pictures, and videos.

The number of IoT devices being connected to the internet is increasing day by day. In fact, Garter (Analyst Firm) predicts there will be 20.4 Billion IoT devices by the end of 2020 [IOTb]. With the increase in …

Processj: The Jvmcsp Code Generator, Oswaldo Benjamin Cisneros Merino

UNLV Theses, Dissertations, Professional Papers, and Capstones

We as a society have achieved greatness because we work together. There is power in numbers. However, when it comes to programming we have not been able to achieve the same level of symbiosis. This is because concurrent programming has been stigmatized as an advance and ab- stract subject allegedly harder than sequential programming. Additionally, traditional approaches to solving concurrent problems using sequential programming become unnecessarily difficult be- cause most of what newcomers are taught when it comes to concurrent programming (e.g., message passing and threads), while being technically correct, is completely irrelevant to the problems at hand. Rather than …

Using Positive Self-Talk And Goal-Oriented Thinking To Improve Behavioral Outcomes For Students With Learning Disabilities, Danielle M. Feeney

UNLV Theses, Dissertations, Professional Papers, and Capstones

Positive self-talk is the experience of carrying on an internal conversation with oneself in the form of praise and encourages the individual to persist despite risks or challenges. Goal- oriented thinking is a purposeful mental process used when solving a problem or working on a task and generally occurs when an individual is reasoning, problem solving and decision making. When engaged in goal-oriented thinking, individuals must interpret their current situation, determine their desired state, and then connect the two through a series of actions in an attempt to transform the former to the latter. Individuals who frequently use positive self-talk …

Factors Influencing Community College Students' Persistence In Completing An Associate Of Applied Science Degree, Amy Hutchinson

UNLV Theses, Dissertations, Professional Papers, and Capstones

As the contemporary labor market continues to require highly skilled workers, who in turn require higher education, more traditional and nontraditional students bolster their marketability by pursuing additional education, increasing their numbers at community colleges. Although college enrollment has generally improved in recent decades, graduation rates have decreased. A term often associated with students’ drive to continue working toward their degree completion is persistence.

The aim of this study was to identify academic factors and student characteristics that influence a part-time student’s persistence in completing an Associate of Applied Science (AAS) degree at a community college. Bean and Metzner’s model …

Coarse-Grained, Fine-Grained, And Lock-Free Concurrency Approaches For Self-Balancing B-Tree, Edward R. Jorgensen Ii

UNLV Theses, Dissertations, Professional Papers, and Capstones

This dissertation examines the concurrency approaches for a standard, unmodified B-Tree which is one of the more complex data structures. This includes the coarse grained, fine-grained locking, and the lock-free approaches. The basic industry standard coarse-grained approach is used as a base-line for comparison to the more advanced fine-grained and lock-free approaches. The fine-grained approach is explored and algorithms are presented for the fine-grained B-Tree insertion and deletion. The lock-free approach is addressed and an algorithm for a lock-free B- Tree insertion is provided. The issues associated with a lock-free deletion are discussed. Comparison trade-offs are presented and discussed. As …

Effects Of Creativity Instruction In Science On Creative Thinking And Science Achievement In Chinese Students, Yun Peng

UNLV Theses, Dissertations, Professional Papers, and Capstones

This study investigated the effectiveness of the 3eT instructional model designed by Hong (Hong, 2012a; Hong, O'Neil, Drobick, & Beisel, 2013) that focused on increasing students' creative-thinking ability. 120 seventh-graders in China participated in the study. Participants were randomly assigned to the experimental or the control group. They learned a segment of a science curriculum unit with instructional materials developed based on the 3eT model which aimed to encourage students to use creative thinking techniques.

Patterns of students' perceptions of a creative person were compared between the experimental group and the control group. Content analyses of students' narrative responses elicited …

Performance Comparison Of Message Queue Methods, Sanika Raje

UNLV Theses, Dissertations, Professional Papers, and Capstones

Message queues are queues of messages that facilitate communication between applications. A queue is a line of messages or events waiting to be handled in a sequential manner. A message queue is a queue of messages sent between applications. It includes a sequence of work objects that are waiting to be processed. For a distributed system to work, it needs to pass information between various machines. No single machine is responsible for the entire system, but all information is interrelated. Hence a major concern of distributed systems is this transfer of data. Which also proves to be one of the …

An Application Of Conformal Mapping To The Boundary Element Method For Unconfined Steady Seepage With A Phreatic Surface, Jorge Eduardo Reyes

UNLV Theses, Dissertations, Professional Papers, and Capstones

In this thesis, numerical results using the Boundary Element Method (BEM) for groundwater flow in a domain with a boundary that contains numerous singularities with a phreatic surface are developed. The flow in the domain is modeled using Darcy’s law for a homogeneous isotropic porous medium. The boundary conditions are a combination of Dirichlet and Neumann with the phreatic surface having both boundary conditions. Exact solutions by Conformal Mapping for simplified domains with the same singularity as the original domain allow for modifications to the BEM resulting in an improvement to the numerical solution.

An iterative process is used to …

Microstructural Effects On Photocatalytic Performance In Ag3po4/Bi2moo6 Z-Scheme Photocatalyst Systems, Kaleab Mengesha Ayalew

UNLV Theses, Dissertations, Professional Papers, and Capstones

As the world population continues to grow and access to modern industry become increasingly common, humanity finds itself amid an environmental and energy crisis. Natural resources, such as clean water are getting scarce. Currently, the development of high efficiency, green energy sources, and eco-friendly methods for water treatment have become a nonelective task. As a result, photocatalysis, as one of the most promising technologies in utilizing solar energy and pollutant removal, has attracted considerable attention.

However, the practical application of photocatalysis is still elusive because of the difficulty of finding an individual material that can satisfy all the requirements for …

Exploring Mathematics Anxiety Of Students At-Risk For Mathematics Difficulties, Sarah Mccarthy

UNLV Theses, Dissertations, Professional Papers, and Capstones

Students in mathematics classrooms are found to experience various levels of stress and anxiety during instructional time. Negative feelings associated with participation in math activities can lead to both physical and emotional manifestations, affecting performance, achievement, and even confidence with the academic subject. Students found to be at-risk for mathematics difficulties have greater risks when it comes to the possible experience of mathematics anxiety. Students with learning disabilities, students needing supplemental interventions, and students who are English learners can experience potential bouts of anxiety and stress, magnifying academic struggles in the math classroom. In addition, academic deficits can intensify levels …

Static Malware Detection Using Deep Neural Networks On Portable Executables, Piyush Aniruddha Puranik

UNLV Theses, Dissertations, Professional Papers, and Capstones

There are two main components of malware analysis. One is static malware analysis and the other is dynamic malware analysis. Static malware analysis involves examining the basic structure of the malware executable without executing it, while dynamic malware analysis relies on examining malware behavior after executing it in a controlled environment. Static malware analysis is typically done by modern anti-malware software by using signature-based analysis or heuristic-based analysis.

This thesis proposes the use of deep neural networks to learn features from a malware’s portable executable (PE) to minimize the occurrences of false positives when recognizing new malware. We use the …

Applied Symmetry For Crystal Structure Prediction, Scott William Fredericks

UNLV Theses, Dissertations, Professional Papers, and Capstones

This thesis presents an original open-source Python package called PyXtal (pronounced "pi-crystal") that generates random symmetric crystal structures for use in crystal structure prediction (CSP). The primary advantage of PyXtal over existing structure generation tools is its unique symmetrization method. For molecular structures, PyXtal uses an original algorithm to determine the compatibility of molecular point group symmetry with Wyckoff site symmetry. This allows the molecules in generated structures to occupy special Wyckoff positions without breaking the structure's symmetry. This is a new feature which increases the space of search-able structures and in turn improves CSP performance.

It is shown that …

Improving Ocr Post Processing With Machine Learning Tools, Jorge Ramon Fonseca Cacho

UNLV Theses, Dissertations, Professional Papers, and Capstones

Optical Character Recognition (OCR) Post Processing involves data cleaning steps for documents that were digitized, such as a book or a newspaper article. One step in this process is the identification and correction of spelling and grammar errors generated due to the flaws in the OCR system. This work is a report on our efforts to enhance the post processing for large repositories of documents.

The main contributions of this work are:

• Development of tools and methodologies to build both OCR and ground truth text correspondence for training and testing of proposed techniques in our experiments. In particular, we …

Circumbinary Disk Inner Radius As A Diagnostic For Disk–Binary Misalignment, Alessia Franchini, Stephen H. Lubow, Rebecca G. Martin

Physics & Astronomy Faculty Research

We investigate the misalignment of the circumbinary disk around the binary HD 98800 BaBb with eccentricity e sime 0.8. Kennedy et al. observed the disk to be either at an inclination of 48° or polar aligned to the binary orbital plane. Their simulations showed that alignment from 48° to a polar configuration can take place on a shorter timescale than the age of this system. We perform hydrodynamical numerical simulations in order to estimate the cavity size carved by the eccentric binary for different disk inclinations as an independent check of polar alignment. Resonance theory suggests that torques on the …

Stereodynamical Control Of A Quantum Scattering Resonance In Cold Molecular Collisions, Pablo G. Jambrina, James F.E. Croft, Hua Guo, Mark Brouard, Balakrishnan Naduvalath, F. Javier Aoiz

Chemistry and Biochemistry Faculty Research

Cold collisions of light molecules are often dominated by a single partial wave resonance. For the rotational quenching of HD (v=1, j=2) by collisions with ground state para-H2, the process is dominated by a single L=2 partial wave resonance centered around 0.1 K. Here, we show that this resonance can be switched on or off simply by appropriate alignment of the HD rotational angular momentum relative to the initial velocity vector, thereby enabling complete control of the collision outcome.

The Delay Time Of Gravitational Wave — Gamma-Ray Burst Associations, Bing Zhang

Physics & Astronomy Faculty Research

The first gravitational wave (GW) — gamma-ray burst (GRB) association, GW170817/GRB 170817A, had an offset in time, with the GRB trigger time delayed by ∼1.7 s with respect to the merger time of the GW signal. We generally discuss the astrophysical origin of the delay time, Δt, of GW-GRB associations within the context of compact binary coalescence (CBC) — short GRB (sGRB) associations and GW burst — long GRB (lGRB) associations. In general, the delay time should include three terms, the time to launch a clean (relativistic) jet, Δtjet; the time for the jet to break out from the surrounding …

A Comprehensive Assessment Of The Low-Temperature Thermal Properties And Thermodynamic Functions Of Ceo2, Tyler D. Morrison, Elizabeth Sooby Wood, Phillippe F. Weck, Eunja Kim, Sung Oh Woo, Andrew T. Nelson, Donald G. Naugle

Physics & Astronomy Faculty Research

Reported is an experimental and computational investigation of the low temperature heat capacity, thermodynamic functions, and thermal conductivity of stoichiometric, polycrystalline CeO2. The experimentally measured heat capacity at T... (See full abstract in article).

Bulbous Pier: An Alternative To Bridge Pier Extension As A Countermeasure Against Bridge Deck Splashing, Moses Karakouzian, Amilcar Chavez, Donald Hayes, Mohammad Nazari-Sharabian

Civil and Environmental Engineering and Construction Faculty Research

Bridge deck splashing causes deterioration to a bridge’s structure and renders the bridge unsafe for motorists and pedestrians. The traditional countermeasure for bridge deck splashing has been pier extension. Pier extensions move the pier wave and the associated splash away from the bridge deck, but retrofitting existing bridges with pier extensions is costly. This research evaluates the use of a bulbous added to the pier as an alternative to pier extension. A bulb placed on the upstream side of a bridge pier affects the splashing. The energy in the passing water is redirected from the impact by streamlining the flow. …

"Actor Denied Straight Nose": Louis Wolheim And The Gendered Practice Of Plastic Surgery In Silent-Era Hollywood, Heather Addison

Film Faculty Research

Hollywood's embrace of plastic surgery as a means of sculpting performers' bodies to meet standards of youth and beauty is a long-standing phenomenon. Using archival materials available in the Howard Hughes Motion Picture Records at the University of Nevada, Las Vegas, this article offers a case study of Louis Wolheim (1881–1931), a motion-picture star under contract to Caddo, Howard Hughes's production company, from the late 1920s until the time of his death. Wolheim caused a national sensation in 1927 when he told reporters about his plan to have his iconic "hard-boiled" facial features surgically altered.

Cmip5 Models' Ability To Capture Observed Trends Under The Influence Of Shifts And Persistence: An In-Depth Study On The Colorado River Basin, Kazi Ali Tamaddun, Ajay Kalra, Sanjiv Kumar, Sajjad Ahmad

Civil and Environmental Engineering and Construction Faculty Research

This study evaluated the ability of phase 5 of the Coupled Model Intercomparison Project (CMIP5) to capture observed trends under the influence of shifts and persistence in their data distributions. A total of 41 temperature and 25 precipitation CMIP5 simulation models across 22 grid cells (2.5° × 2.5° squares) within the Colorado River basin were analyzed and compared with the Climate Research Unit Time Series (CRU-TS) observed datasets over a study period of 104 years (from 1901 to 2004). Both the modeled simulations and observations were tested for shifts, and the time series before and after the shifts were analyzed …

Fault Slip And Exhumation History Of The Willard Thrust Sheet, Sevier Fold‐Thrust Belt, Utah: Relations To Wedge Propagation, Hinterland Uplift, And Foreland Basin Sedimentation, W. A. Yonkee, Bryan Eleogram, Michael L. Wells, Daniel F. Stockli, Shari Kelley, D. E. Barber

Geoscience Faculty Research

Zircon (U‐Th)/He (ZHe) and zircon fission track thermochronometric data for 47 samples spanning the areally extensive Willard thrust sheet within the western part of the Sevier fold‐thrust belt record enhanced cooling and exhumation during major thrust slip spanning approximately 125–90 Ma. ZHe and zircon fission track age‐paleodepth patterns along structural transects and age‐distance relations along stratigraphic‐parallel traverses, combined with thermo‐kinematic modeling, constrain the fault slip history, with estimated slip rates of ~1 km/Myr from 125 to 105 Ma, increasing to ~3 km/Myr from 105 to 92 Ma, and then decreasing as major slip was transferred onto eastern thrusts. Exhumation was …

Topological Nodal Line Semimetals In Graphene Network Structures, Jian-Tao Wang, Hongming Weng, Chengfeng Chen

Physics & Astronomy Faculty Research

Topological semimetals are a fascinating class of quantum materials that possess extraordinary electronic and transport properties. These materials have attracted great interests in recent years for their fundamental significance and potential device applications. There have been intensive studies suggested that three-dimensional graphene networks support topological semimetals with two types of continuous nodal lines: one is to form closed nodal rings in Brillouin zone and the other ones traversing the whole Brillouin zone to be periodically connected. Carbon has negligible spin-orbit coupling, non-magnetism and great diversity of allotropes, which makes it very promising in realizing topological nodal line semimetals. Here we …

On Neutralization Of Charged Black Holes, Yi Gong, Zhoujian Cao, He Gao, Bing Zhang

Physics & Astronomy Faculty Research

For non-spinning, charged (Reissner–Nordström) black holes, the particles with an opposite sign of charge with respect to that of the black hole will be pulled into the black hole by the extra electromagnetic force. Such a hole will be quickly neutralized so that there should not exist significantly charged, non-spinning black holes in the universe. The case of spinning, charged (Kerr–Newmann, KN) black holes is more complicated. For a given initial position and initial velocity of the particle, an oppositely charged particle does not always more easily fall into the black hole than a neutral particle. The possible existence of …

Allocation To Groups: Examples Of Lord's Paradox, Daniel B. Wright

Educational Psychology, Leadership, and Higher Education Faculty Research

Background Educational and developmental psychologists often examine how groups change over time. Two analytic procedures – analysis of covariance (ANCOVA) and the gain score model – each seem well suited for the simplest situation, with just two groups and two time points. They can produce different results, what is known as Lord's paradox. Aims Several factors should influence a researcher's analytic choice. This includes whether the score from the initial time influences how people are assigned to groups. Examples are shown, which will help to explain this to researchers and students, and are of educational relevance. It is shown that …

Resolving Intravoxel White Matter Structures In The Human Brain Using Regularized Regression And Clustering, Andrea Hart, Brianna Smith, Sean Smith, Elijah Sales, Jacqueline Hernandez-Camargo, Yarlin Mayor Garcia, Felix Zhan, Lori Griswold, Brian Dunkelberger, Michael R. Schwob, Sharang Chaudhry, Justin Zhan, Laxmi Gewali, Paul Oh

Computer Science Faculty Research

The human brain is a complex system of neural tissue that varies significantly between individuals. Although the technology that delineates these neural pathways does not currently exist, medical imaging modalities, such as diffusion magnetic resonance imaging (dMRI), can be leveraged for mathematical identification. The purpose of this work is to develop a novel method employing machine learning techniques to determine intravoxel nerve number and direction from dMRI data. The method was tested on multiple synthetic datasets and showed promising estimation accuracy and robustness for multi-nerve systems under a variety of conditions, including highly noisy data and imprecision in parameter assumptions.

A New Plumbing System Framework For Mantle Plume-Related Continental Large Igneous Provinces And Their Mafic-Ultramafic Intrusions, Richard E. Ernst, Dustin A. Liikane, Simon M. Jowitt, K. L. Buchan, J. A. Blanchard

Geoscience Faculty Research

The magmatic components of continental Large Igneous Provinces (LIPs) include flood basalts and their plumbing system of giant mafic dyke swarms (radiating, linear, and the recently discovered circumferential type), mafic sill provinces, a lower crustal magmatic underplate, mafic-ultramafic (M–UM) intrusions, associated silicic magmatism, and associated carbonatites and kimberlites. This paper proposes a new plumbing system framework for mantle plume-related continental LIPs that incorporates all of these components, and provides a context for addressing key thematic aspects such as tracking magma batches “upstream” and “downstream” and their geochemical evolution, assessing the setting of M-UM intrusions and their economic potential, interpreting deep …