Digital Commons Network^™

Genetic Landscape Of Indolent And Aggressive Kaposi Sarcomas, G G Malouf, X Lu, R Mouawad, J-P Spano, P Grange, F Yan, S Aractingi, X Su, N Dupin

Faculty, Staff and Student Publications

Background: Kaposi sarcoma (KS) is a rare skin tumour caused by herpesvirus 8 infection and characterized by either indolence or an aggressive course necessitating systemic therapies. The genetic basis of this difference remains unknown.

Objectives: To explore the tumour mutational burden in indolent and aggressive KS.

Methods: We performed whole-exome sequencing on a cohort of 21 KS patients. We compared genetic landscape including tumor mutational burden between the two forms of indolent and agressive KS.

Results: Aggressive KS tumours had a significantly higher TMB and a larger cumulative number of deleterious mutations than indolent KS tumours. In addition, all aggressive …

Application Of Experimentally Calibrated Numerical Models For Prediction Of Composite Masonry Prism Strength, James Bristow

UNLV Theses, Dissertations, Professional Papers, and Capstones

The composite masonry prism test is a common laboratory test to determine the compressive strength of a set of masonry prisms (f’mt) to verify that the composite masonry prism assembly, and more importantly, the constituent materials, are providing adequate strength. While constructing masonry structures, the subcontractors, designers, and inspectors rarely provide continuous supervision or inspection of the construction process. Accordingly, verification of grout mix design, mixed proportions, proper installation of blocks, placement of mortar, dimensions of joints, etc. are more traditionally performed on a periodic basis instead. However, through the use and review of the composite masonry prism test results, …

A Mechanically Intelligent Hosing-Drone, Blake Hament

UNLV Theses, Dissertations, Professional Papers, and Capstones

This manuscript presents a ”mechanically intelligent” approach to designing a Hosing-Drone for heavy-duty pressure washing. Spraying a hose creates strong reaction forces and torques. Previously demonstrated spraying robots are over-engineered to be very massive with huge inertias. These high inertias ”wash out” the reaction from the spraying. In the proposed approach, the contributions from all observable fluid dynamics, fluid structure interactions, and aerodynamics are studied individually and for the coupled system. Experimental data is collected and fit to dynamic models. These models are used to design a smaller, lighter, more agile vehicle than has been previously demonstrated. An impedance controller …

Effects Of Particle Size And Replacement Proportion Of Post-Consumer Glass In Concrete, Negasi Gebremichael

UNLV Theses, Dissertations, Professional Papers, and Capstones

Concrete, next to water, is the most used material (Gagg, 2014), which consumes natural or manufactured aggregates and resource-intensive cement. Concrete is also a more wasteful construction material than timber and steel. Depleting the natural resource due to aggregate extraction and the environmental unfriendliness of cement production have left the construction industry with no choice. Reducing waste, reusing, or recycling can help conserve natural resources. In this regard, the construction industry constantly seeks full or partial replacement of concrete aggregates and cement with recycled material. Glass is a candidate for replacing the three major components: cement, fine aggregate, and coarse …

The Stability Of The Speech-To-Song Illusion And Individual Differences, Rodica R. Constantine

UNLV Theses, Dissertations, Professional Papers, and Capstones

Music and language are easily distinguishable for the average listener despite sharing many structural acoustic similarities. The Speech-to-Song illusion can give rise to both musical and linguistic percepts by inducing a perceptual switch after listening to multiple repetitions of a natural spoken utterance. As such, it has been used as a tool to control for low-level acoustic characteristics previously shown to drive lateralized brain responses regardless of domain-type, helping to disambiguate the contribution of high- versus low-level processes in both music and speech perception. However, there exists a lack of research on how large a role individual differences such as …

Covid-19 Isolation Compliance Among Students And Employees Of A Large Public University, Nicolette Harmon

UNLV Theses, Dissertations, Professional Papers, and Capstones

Isolation has been used to prevent the spread of many infectious diseases including COVID-19. The CDC’s isolation recommendations have changed over the course of the COVID-19 pandemic, currently infected individuals must stay at home for 5 full days. The CDC cites low compliance rates as one of the reasons for the recent reduction to the number of days in isolation. However, the CDC could only cite studies from other countries due to the lack of studies on isolation compliance in the United States. This study aimed to determine what percentage of UNLV students and staff complied with the isolation guidelines …

Characterization Of The Isothermal Titration Calorimetry Single Injection Method Using T4 Polynucleotide Kinase As A Model System For Kinases, Rebecca Chaehee Lim

UNLV Theses, Dissertations, Professional Papers, and Capstones

Kinases are an important class of enzymes involved in the regulation of different cellular processes. The dysfunctional activity, either hyperactivity or inactivity, of kinases has been associated with many types of diseases, making kinases a major therapeutic target. As of 2020, more than 80 kinase inhibitors have been FDA-approved and have revolutionized the treatment for progressive disorders such as cancers and Alzheimer's diseases. However, there is always the possibility of developing severe side effects or resistance to drugs so the search for new therapeutics must continue with efficiency and accuracy.Isothermal titration calorimetry (ITC) is a state-of-the-art technique specialized in detecting …

Dimensionality Of Natural Auditory Scene Perception: A Factor Analysis Study, Margaret A. Mcmullin

UNLV Theses, Dissertations, Professional Papers, and Capstones

Theories of auditory and visual scene analysis suggest the perception of scenes relies on the identification and segregation of objects within it, resembling a detail-oriented processing style, but it is possible that a global-oriented process also occurs while evaluating auditory scenes. There is evidence for global properties that enable rapid recognition of visual scenes, even without recognizing the individual objects comprising the scene. It is our understanding that a similar line of research has not been explored in the auditory domain; therefore, we evaluated the contributions of high-level global and low-level acoustic information to auditory scene perception. A secondary aim …

Dynamic Surface Tension Of Surfactants Through Separation Of Diffusion And Dilation Effects, Brandon Ortiz

UNLV Theses, Dissertations, Professional Papers, and Capstones

Surfactants are biphilic monomers that adsorb to interfaces and have the ability to reduce interfacial tension. From this reduction in interfacial tension, surfactants are able to function as emulsifiers, detergents, and wetting agents among a variety of other things. Despite their ubiquity surfactants and surfactant behaviors, in particular those in highly dynamic environments, are not yet well characterized. In these environments, surfactants undergo significant distortions to droplet, bubble, and foam geometries which induce changes to the surface tension. This establishes a need to understand how surfactants respond to distortions of geometry through diffusion and dilational effects. To address this need, …

Real–Time Semantic Segmentation For Railway Anomalies Analysis, Paul Stanik Iii

UNLV Theses, Dissertations, Professional Papers, and Capstones

In the past few years, computer vision has made huge jumps due to deep learning which leverages increased computational power and access to data. The computer vision community has also embraced transparency to accelerate research progress by sharing open datasets and open source code. Access to large scale datasets and benchmark challenges propelled and opened the field. The autonomous vehicle community is a prime example. While there has been significant growth in the automotive vision community, not much has been done in the rail domain. Traditional rail inspection methods require special trains that are run during down time, have sensitive …

Retrospective Varying Coefficient Association Analysis Of Longitudinal Binary Traits, Gang Xu

UNLV Theses, Dissertations, Professional Papers, and Capstones

Many genetic studies contain rich information on longitudinal phenotypes that require powerful analytical tools for optimal analysis. Genetic analysis of longitudinal data that incorporates temporal variation is important for understanding the genetic architecture and biological variation of complex diseases. Most of the existing methods assume that the contribution of genetic variants is constant over time and fails to capture the dynamic pattern of disease progression. However, the relative influence of genetic variants on complex traits fluctuates over time.We developed several tests to fill the gap of analyzing time-varying genetic effects in longitudinal GWAS for binary traits. First, we propose a …

Paleoenvironmental Changes Across The Devonian-Carboniferous Transition, Audrey M. Warren

UNLV Theses, Dissertations, Professional Papers, and Capstones

The Devonian-Carboniferous (D-C) transition was a critical interval in earth history, witnessing profound environmental changes associated with plant and animal evolution and extinction. Two first-order mass extinctions occurred leading up to the D-C boundary: the Kellwasser Event at the Frasnian-Famennian (F-F) boundary (~371 Ma) and the D-C boundary Hangenberg Event (~359 Ma). Both events were associated with significant sea level changes and major carbon cycle perturbations, evidenced by widespread deposition of black shale and positive carbon isotope (δ13C) excursions, all of which have been used to correlate these events across the globe. Because preservation of black shale requires anoxic conditions, …

Reorganization Of The Functional Connectome From Rest To A Visual Perception Task In Schizophrenia And Bipolar Disorder, Philipp Riedel, Junghee Lee, Christopher G Watson, Amy M Jimenez, Eric A Reavis, Michael F Green

Faculty, Staff and Student Publications

Functional connectome organization is altered in schizophrenia (SZ) and bipolar disorder (BD). However, it remains unclear whether network reorganization during a task relative to rest is also altered in these disorders. This study examined connectome organization in patients with SZ (N = 43) and BD (N = 42) versus healthy controls (HC; N = 39) using fMRI data during a visual object-perception task and at rest. Graph analyses were conducted for the whole-brain network using indices selected a priori: three reflecting network segregation (clustering coefficient, local efficiency, modularity), two reflecting integration (characteristic path length, global efficiency). Group differences were limited …

Radiomics In Abdominopelvic Solid-Organ Oncologic Imaging: Current Status, Xiaoyang Liu, Mohamed G Elbanan, Antonio Luna, Masoom A Haider, Andrew D Smith, Carl F Sabottke, Bradley M Spieler, Baris Turkbey, David Fuentes, Ahmed Moawad, Serageldin Kamel, Natally Horvat, Khaled M Elsayes

Faculty, Staff and Student Publications

Radiomics is the process of extraction of high-throughput quantitative imaging features from medical images. These features represent noninvasive quantitative biomarkers that go beyond the traditional imaging features visible to the human eye. This article first reviews the steps of the radiomics pipeline, including image acquisition, ROI selection and image segmentation, image preprocessing, feature extraction, feature selection, and model development and application. Current evidence for the application of radiomics in abdominopelvic solid-organ cancers is then reviewed. Applications including diagnosis, subtype determination, treatment response assessment, and outcome prediction are explored within the context of hepatobiliary and pancreatic cancer, renal cell carcinoma, prostate …

Diagnosing Covid-19 Infection In Chest X-Ray Images Using Neural Network, Salim M. Zaki, Mustafa Musa Jaber, Mohammed A. Kashmoola

Baghdad Science Journal

With its rapid spread, the coronavirus infection shocked the world and had a huge effect on billions of peoples' lives. The problem is to find a safe method to diagnose the infections with fewer casualties. It has been shown that X-Ray images are an important method for the identification, quantification, and monitoring of diseases. Deep learning algorithms can be utilized to help analyze potentially huge numbers of X-Ray examinations. This research conducted a retrospective multi-test analysis system to detect suspicious COVID-19 performance, and use of chest X-Ray features to assess the progress of the illness in each patient, resulting in …

Using Graph Mining Method In Analyzing Turkish Loanwords Derived From Arabic Language, Abbood Kirebut Jassim, Muneam Jabbar Hamzah, Ahmed Hussein Aliwy

Baghdad Science Journal

Loanwords are the words transferred from one language to another, which become essential part of the borrowing language. The loanwords have come from the source language to the recipient language because of many reasons. Detecting these loanwords is complicated task due to that there are no standard specifications for transferring words between languages and hence low accuracy. This work tries to enhance this accuracy of detecting loanwords between Turkish and Arabic language as a case study. In this paper, the proposed system contributes to find all possible loanwords using any set of characters either alphabetically or randomly arranged. Then, it …

Investigation Of The Association Of Agtr1 A1166c Rs5186 And Fto Rs9939609 Polymorphisms With The Obesity In Children And Adolescents, Alaa Hashim Abd Ali, Teplyakova E. D., Bocharova O. V., Karantysh G. V., Shkurat T. P.

Baghdad Science Journal

Obesity is a risk factor for a number of chronic conditions. Obesity is clinically defined using the body mass index (BMI) as weight in kg divided by (height)2 in m2 correlated with obesity. Currently, genetic markers of obesity are being studied. This study focused on the association between the angiotensin II receptor AGTR1 gene (A1166C) and fat mass and obesity-associated protein also known as alpha-ketoglutarate-dependent dioxygenase (FTO) (rs9939609) in obese children and adolescents patients in Rostov region, Russia. Five-hundreds of Russian nationality child and adolescent were recruited for the obesity-control studies. The relationship between the A1166C polymorphism of the AGTR1 …

The Effective M3y Residual Interaction In 41ca As A Nuclear Diffraction Grating Of Electrons, Rafah M. Hussien, Firas Z. Majeed

Baghdad Science Journal

The total and individual multipole moments of magnetic electron scattering form factors in 41Ca have been investigated using a widely successful model which is the nuclear shell model configurations keeping in mind of 1f7/2 subshell as an L-S shell and Millinar, Baymann, Zamick as L-S shell (F7MBZ) to give the model space wave vector. Also, harmonic oscillator wave functions have been used as wave function of a single particle in 1f7/2 shell. Nucleus 40Ca as core closed and Core polarization effects have been used as a corrective with first order correction concept to basic computation of L-S shell and the …

Forensic Linguistics: Science Or Fiction?, Abigail Shim

UC Law Journal

The history of linguistics is meager and splintered due to the subject’s interdisciplinary nature. In the postwar era, the discipline attempted to revive as a scientific one, spearheaded by Noam Chomsky and his theory of generative grammar. Linguistics consequently broke away from the predominant structuralist approach of the nineteenth century, returning to rationalist roots. But with the rise of computer technology, Chomsky’s critiques of empirical, applicational linguistic approaches have lost their force. As academic linguistics splinters off again, loses its scientific edge, and regroups with the humanities, linguistics applied in the forensic context may implicate more questions than it answers, …

Virtual Reality And Video Game Gatekeeping, Autumn Franke

Theses

This thesis focuses on the effects of the video game industry being the only influence on the development of virtual reality technology and the hindrance caused by it. The aim of this thesis is to discuss this flaw and recommend a different route to develop the technology through the education and medical fields instead of the video game industry.

En’S Adventure: Exploring Modern Design Mechanics In Retro Adventure Games, Frank Fasola

Theses

This project focuses creating a small game prototype that can be used to build a full game around. The primary focus is to create a short experience to establish the mechanics and gameplay of the game. Games made in the style of retro games are released every year, but most of these games strive to provide the same experience from the late 1980s. The project is a top down 2D retro adventure game made using modern techniques and learning from game development in the 30 years since these games were released.

Ux/Ui Research-Applied Strategies For Building A Custom Wordpress Theme Using Underscores And Elementor, Sandi Harageones

Theses

The aim of this project is to offer a new, easier method to web designers and web design instructors for creating a custom-built WordPress theme using primarily Underscores, a starter theme made by Automattic, the creators of WordPress; and Elementor, a leading WordPressbased web creation platform. WordPress is a leading, free content management system (CMS) for building websites. Premised on user experience/user interface (UX/UI) applied research, this method can help web design professionals avoid using third-party WordPress themes. Moreover, web design instructors can incorporate this method into their course curricula to prepare their students for professions in custom CMS web …

Evolution Of Authenticity: Investigating The (De)Restoration Of Ancient Sculpture (De)Restorations In The 1970s, Amelia Griese

Theses

This thesis focuses on the period of de-restoration of ancient Greek and Roman sculptures in the 1970s. While three distinct periods of restoration history have been well-defined by scholars (17th to 19th century, the 1970s, and modern-day), the discussion of the motivations behind the focus on purism that led to de-restoration in the 1970s are lacking in the literature. The Lansdowne Herakles and the Aegina Marbles will be used in this analysis because of their illustration of the different periods of restoration history. While both the Lansdowne Herakles and the Aegina Marbles were de-restored in the 1970s, their fate in …

The Foreboding Campaign System, Michael Fetters

Theses

This project creates a new campaign setting compatible with the Dungeons and Dragons system utilizing the SRD Open Game License content as a starting point. The campaign setting created establishes mechanics allowing for narrative interaction between the past and present timeline of events in the world of Lunaria. This new system, entitled The Foreboding, utilizes a shift mechanic to alter the player characters in several possible ways, ranging from changes in race or character history to interactions with past time periods and events that alter the present timeline of the narrative. New character options for race and class were also …

Operational And Cost Analysis Of A Leo Radar-Based Satellite Constellation, Kyle O. Norbert

Theses and Dissertations

This thesis presents a methodology to assess the ability of a Low-Earth Orbit (LEO) satellite constellation to successfully accomplish the GMTI mission in a cost-effective fashion. A simulation model was developed to test the coverage performance of 512 unique constellation designs. Significant factors were revealed by developing regression models that revealed the most critical constellation trade-offs on measures of performance. A Value-Focused Thinking (VFT) approach was applied to assign weights to a broad range of measures of performance from which the Pareto distribution on a cost-capability plot revealed cost-effectiveness. A novel measure of performance was developed and analyzed that accounted …

Fitting Solar Panel Brdf Parameters To Out-Of-Plane Empirical Data, Michael R. Gross

Theses and Dissertations

The bidirectional reflectance distribution function (BRDF) describes material reflectance by describing how incident irradiance reflects into all possible scatter angles as a function of incident angle. However, a solar panel has unique features that are not featured in any of these previously known models. A previous project at the Air Force Institute of Technology (AFIT) created a novel microfacet-like BRDF to model a solar panel with a prominent diffractive feature present which had not been previously modeled. This BRDF was coded into MATLAB for modeling purposes and C++ to test its speed with a MEX function call. A previous thesis …

Effects Of A Non-Uniform Magnetic Field On The Current Flow Of Silicon Photodiodes And Solar Cells, Jason J. Buranich

Theses and Dissertations

This research investigates an approach to improve efficiency of low-cost devices by applying an external arched magnetic field to p-n junction devices to observe the effect such a magnetic field would have on the flow of charge carriers. Electro-optic p-n junction devices of photodiodes and solar cells were designed and fabricated to incorporate the dimensions of commercially available neodymium magnets. The devices were placed in the magnetic fields created by the magnets then current and voltage characteristics were measured via a 4-point probe setup. These measurements were compared to measurements taken from the same devices when not in the magnetics …

Evaluating Deep Learning Explanations On Risc-V Assembly As A Reverse Engineering Aid, Daniel F. Koranek

Theses and Dissertations

This dissertation addresses several problems surrounding the detection of malware using deep learning models trained on assembly language examples. First, it examines the feasibility of detecting examples of malice using deep learning models trained on RISC-V instruction traces. Next, it examines whether models for detecting trace features and code features in RISC-V assembly can be made explainable (providing rationale for a model’s decision based upon the model’s internal workings) or interpretable (providing additional rationale as model output to support a human’s agreement with the model output). Third, this work examines ways in which it is possible to give additional contextual …

Exploring The Effects Of Tree Roots On Infiltration Process, Nazife Onaral

Masters Theses

Effects of the root structures on soil infiltration dynamics are not clearly defined. Imaging the complex tree root structures and movement of water through the root ball is a challenging task to achieve without damaging the trees and roots by conventional methods. Commonly used methods are invasive, labor-intensive, and not easily accessible. Ground Penetrating Radar (GPR) has commonly been used to characterize soil profiles and it can be a reliable tool to map complex root structures with a novel high-resolution circular data collection technique. Electrical resistivity tomography (ERT) is another reliable geophysical method to image infiltration processes by the change …

Optimal Test Plan Of Step Stress Partially Accelerated Life Testing For Alpha Power Inverse Weibull Distribution Under Adaptive Progressive Hybrid Censored Data And Different Loss Functions, Refah Alotaibi, Ehab M. Almetwally, Qiuchen Hai, Hoda Rezk

Mathematics Faculty Publications (Archived)

Accelerated life tests are used to explore the lifetime of extremely reliable items by subjecting them to elevated stress levels from stressors to cause early failures, such as temperature, voltage, pressure, and so on. The alpha power inverse Weibull (APIW) distribution is of great significance and practical applications due to its appealing characteristics, such as its flexibilities in the probability density function and the hazard rate function. We analyze the step stress partially accelerated life testing model with samples from the APIW distribution under adaptive type II progressively hybrid censoring. We first obtain the maximum likelihood estimates and two types …