Digital Commons Network^™

Investigating The Effect Of Managing Scenarios Of Flow Reduction And Increasing Irrigation Water Demand On Water Resources Allocation Using System Dynamics (Case Study: Zonouz Dam, Iran), Mohammad Taghi Sattari, Rasoul Mirabbasi, Hossein Dolati, Fatemeh Shaker Sureh, Sajjad Ahmad

Civil and Environmental Engineering and Construction Faculty Research

Meeting the healthy nutrition needs of the increasing population in the arid and semi-arid climates of the different regions of the world such as Iran has become very important for the agriculture ministry and water resources managers. In this study, the system dynamics approach was used in the Vensim software environment to allocate the water of the Zonouz dam reservoir for irrigation purposes in the northwest of Iran. For this purpose, the existing surface water resources in the basin and the amounts of agricultural water and environmental water demands were determined and a water allocation plan was developed. In the …

Drought Frequency Analysis Based On The Development Of A Two-Variate Standardized Index (Rainfall-Runoff), Gholamreza Nikravesh, Mohammad Aghababaei, Mohammad Nazari-Sharabian, Moses Karakouzian

Civil and Environmental Engineering and Construction Faculty Research

Drought is one of the most drastic events, which has imposed irreparable damages on human societies and may occur in any climate regime. To define drought, given its properties of multidimensionality and randomity, one cannot rely on a single variable/index (e.g., precipitation, soil moisture, and runoff). Accordingly, implementing a novel approach, this study investigated drought events in two basins with different climatic regimes, using multivariate frequency analyses of drought duration, severity, and severity peak, based on developing a Two-variate Standardized Index (TSI). The index was developed based on the concept of copula, by applying rainfall-runoff data (1974-2019) and comparing them …

Pressure-Stabilized Divalent Ozonide Cao3 And Its Impact On Earth’S Oxygen Cycles, Yanchao Wang, Meiling Xu, Liuxiang Yang, Bingmin Yan, Qin Qin, Xuecheng Shao, Yunwei Zhang, Dajian Huang, Xiaohuan Lin, Jian Lv, Dongzhou Zhang, Huiyang Gou, Ho-Kwang Mao, Changfeng Chen, Yanming Ma

Physics & Astronomy Faculty Research

High pressure can drastically alter chemical bonding and produce exotic compounds that defy conventional wisdom. Especially significant are compounds pertaining to oxygen cycles inside Earth, which hold key to understanding major geological events that impact the environment essential to life on Earth. Here we report the discovery of pressure-stabilized divalent ozonide CaO3 crystal that exhibits intriguing bonding and oxidation states with profound geological implications. Our computational study identifies a crystalline phase of CaO3 by reaction of CaO and O2 at high pressure and high temperature conditions; ensuing experiments synthesize this rare compound under compression in a diamond anvil cell with …

Measuring The Perceived Social Intelligence Of Robots, Kimberly A. Barchard, Leiszle Lapping-Carr, R. Shane Westfall, Andrea Fink-Armold, Santosh Balajee Banisetty, David Feil-Seifer

Psychology Faculty Research

Robotic social intelligence is increasingly important. However, measures of human social intelligence omit basic skills, and robot-specific scales do not focus on social intelligence. We combined human robot interaction concepts of beliefs, desires, and intentions with psychology concepts of behaviors, cognitions, and emotions to create 20 Perceived Social Intelligence (PSI) Scales to comprehensively measure perceptions of robots with a wide range of embodiments and behaviors. Participants rated humanoid and non-humanoid robots interacting with people in five videos. Each scale had one factor and high internal consistency, indicating each measures a coherent construct. Scales capturing perceived social information processing skills (appearing …

Resilience And Alternative Stable States After Desert Wildfires, Scott R. Abella, Dominic M. Gentilcore, Lindsay P. Chiquoine

Life Sciences Faculty Research

Improving models of community change is a fundamental goal in ecology and has renewed importance during global change and increasing human disturbance of the biosphere. Using the Mojave Desert (southwestern United States) as a model system, invaded by nonnative plants and subject to wildfire disturbances, we examined models of resilience, alternative stable states, and convergent-divergent trajectories for 36 yr of plant community change after 31 wildfires in communities dominated by the native shrubs Larrea tridentata or Coleogyne ramosissima. Perennial species richness on average was fully resilient within 23 yr after disturbance in both community types. Perennial cover was fully resilient …

Investigation Of The Interaction Of Gadolinium With Several Organic Ligands And Humic Acid By Ligand Competition Using 4-(2-Pyridylazo)-Resorcinol (Par), Spencer Steinberg, Vernon Hodge, Luis Becerra-Hernandez

Chemistry and Biochemistry Faculty Research

Gd3+ forms a strongly colored complex with 4-(2-pyridylazo)-resorcinol (PAR) in aqueous solutions. We characterized the Gd3+-PAR complex in order to use it as a probe of Gd3+ speciation in the presence of environmentally relevant ligands. The formation of the Gd3+-PAR complex was investigated from pH 5 to 8 in the presence of excess PAR. The absorbance of the Gd3+-PAR complex dramatically increased from pH 5 to 8 and application of the method of continuous variation indicates that the complex was primarily 1:2 Gd(PAR)2 at pH 8. Stability constants for Gd3+ with other ligands can be quantified by competitive displacement of …

Future Availability Of Non-Renewable Metal Resources And The Influence Of Environmental, Social, And Governance Conflicts On Metal Production, Simon Jowitt, Gavin M. Mudd, John F.H. Thompson

Geoscience Faculty Research

Metal mining provides the elements required for the provision of energy, communication, transport and more. The increasing uptake of green technology, such as electric vehicles and renewable energy, will also further increase metal demand. However, the production lifespan of an average mine is far shorter than the timescales of mineral deposit formation, suggesting that metal mining is unsustainable on human timescales. In addition, some research suggests that known primary metal supplies will be exhausted within about 50 years. Here we present an analysis of global metal reserves that suggests that primary metal supplies will not run out on this timescale. …

Measuring The Perceived Social Intelligence Of Robots, Kimberly A. Barchard, Leiszle Lapping-Carr, R. Shane Westfall, Andrea Fink-Armold, Santosh Balajee Banisetty, David Feil-Seifer

Psychology Faculty Research

Robotic social intelligence is increasingly important. However, measures of human social intelligence omit basic skills, and robot-specific scales do not focus on social intelligence. We combined human robot interaction concepts of beliefs, desires, and intentions with psychology concepts of behaviors, cognitions, and emotions to create 20 Perceived Social Intelligence (PSI) Scales to comprehensively measure perceptions of robots with a wide range of embodiments and behaviors. Participants rated humanoid and non-humanoid robots interacting with people in five videos. Each scale had one factor and high internal consistency, indicating each measures a coherent construct. Scales capturing perceived social information processing skills (appearing …

Machine Learning Corrected Quantum Dynamics Calculations, A. Jasinski, J. Montaner, R. C. Forrey, B. H. Yang, P. C. Stancil, Naduvalath Balakrishnan, J. Dai, A. Vargas-Hernandez, R. V. Krems

Chemistry and Biochemistry Faculty Research

Quantum scattering calculations for all but low-dimensional systems at low energies must rely on approximations. All approximations introduce errors. The impact of these errors is often difficult to assess because they depend on the Hamiltonian parameters and the particular observable under study. Here, we illustrate a general, system- and approximation-independent, approach to improve the accuracy of quantum dynamics approximations. The method is based on a Bayesian machine learning (BML) algorithm that is trained by a small number of exact results and a large number of approximate calculations, resulting in ML models that can generalize exact quantum results to different dynamical …

Toluene Induces Hormetic Response Of Soil Alkaline Phosphatase And The Potential Enzyme Kinetic Mechanism, Diwu Fan, Yujing Jing, Yongli Zhu, Sajjad Ahmad, Jiangang Han

Civil and Environmental Engineering and Construction Faculty Research

Hormesis of soil enzyme that involved in heavy metal has been attracting much more attention for risk assessment of heavy metal toxicity, but insufficient studies were conducted to define the hormetic responses induced by toluene or other organic pollutions. The objectives of this study were to investigate the hormetic responses of soil enzyme induced by toluene and explore the potential enzyme kinetic mechanism. Soil alkaline phosphatase (ALP) activity was regarded as the endpoint to explore the hormetic responses under different doses of toluene (0.0, 0.1, 0.5, 1.0, 2.0, 3.0, 5.0, 10.0, 50.0 and 100.0 μL g−1). Subsequently, we conducted the …

Self-Stabilizing Token Distribution On Trees With Constant Space, Yuichi Sudo, Ajoy K. Datta, Lawrence L. Larmore, Toshimitsu Masuzawa

Computer Science Faculty Research

Self-stabilizing and silent distributed algorithms for token distribution in rooted tree networks are given. Initially, each process of a graph holds at most l tokens. Our goal is to distribute the tokens uniformly in the whole network so that every process holds exactly k tokens. In the initial configuration, the total number of tokens in the network may not be nk where n is the number of processes in the network. The root process is given the ability to create a new token or remove a token from the network. We aim to minimize the convergence time, the number of …

Late Quaternary Climate Variability And Change From Aotearoa New Zealand Speleothems: Progress In Age Modelling, Oxygen Isotope Master Record Construction And Proxy-Model Comparisons, Andrew M. Lorrey, Paul W. Williams, John-Mark Woolley, Nicolas C. Faushereau, Adam Hartland, Helen Bostock, Shaun Eaves, Matthew S. Lachniet, James A. Renwick, Vidya Varma

Geoscience Faculty Research

We re-evaluated speleothem isotope series from Aotearoa New Zealand that were recently contributed to the Speleothem Isotopes Synthesis and AnaLysis (SISAL) database. COnstructing Proxy Records from Age Models (COPRA) software was used to produce Bayesian age models for those speleothems. The new age modelling helped us examine Late Quaternary temporal coverage for the national speleothem network, and also supported our exploration of three different isotope master record generation techniques using Holocene δ18O data from Waitomo. We then applied the output from one of the isotope master record techniques to test an application case of how climate transfer functions can be …

Flow Topology In The Confluence Of An Open Channel With Lateral Drainage Pipe, Mohammad Nazari-Sharabian, Moses Karakouzian, Donald Hayes

Geoscience Faculty Research

The purpose of this paper is to develop design guidelines for flood control channel height in the vicinity of the confluence of a submerged drainage pipe and a flood control channel. The water exchange in the confluence of an open channel with a lateral drainage pipe produces unique hydraulic characteristics, ultimately affecting the water surface elevation in the channel. An accurate prediction of the water surface elevation is essential in the successful design of a high-velocity channel. By performing several experiments, and utilizing a numerical model (FLOW-3D), this study investigated the impact of submerged lateral drainage pipe discharges into rectangular …

Snackjack: A Toy Model Of Blackjack, Stewart N. Ethier, Jiyeon Lee

UNLV Gaming Research & Review Journal

Snackjack is a highly simplified version of blackjack that was proposed by Ethier (2010) and given its name by Epstein (2013). The eight-card deck comprises two aces, two deuces, and four treys, with aces having value either 1 or 4, and deuces and treys having values 2 and 3, respectively. The target total is 7 (vs. 21 in blackjack), and ace-trey is a natural. The dealer stands on 6 and 7, including soft totals, and otherwise hits. The player can stand, hit, double, or split, but split pairs receive only one card per paircard (like split aces in blackjack), and …

Acute Systemic Inflammation Reduces Both Carotid And Aortic Wave Reflection In Healthy Adults, Thessa Hilgenkamp, Elizabeth C. Schroeder, Wesley L. Lefferts, Bo Fernhall

Physical Therapy Faculty Research

Acute inflammation increases the risk of cardiac and cerebrovascular events, possibly related to alterations in the hemodynamic load. Wave reflection at the aorta and carotid provides insight into downstream vascular changes and hemodynamic load at the heart and brain. Acute inflammation has been suggested to reduce wave reflection via downstream vasodilation; however, this is not firmly established and has only been investigated at the aorta. We sought to explore the effect of acute inflammation on aortic and carotid hemodynamics in healthy, young adults. Pressure waveforms were collected via radial and carotid applanation tonometry in 23 adults (26 ± 4 years) …

Interplay Of Trna-Derived Fragments And T Cell Activation In Breast Cancer Patient Survival, Nayang Shan, Ningshan Li, Qile Dai, Lin Hou, Xiting Yan, Amei Amei, Lingeng Lu, Zuoheng Wang

Mathematical Sciences Faculty Research

Effector CD8+ T cell activation and its cytotoxic function are positively correlated with improved survival in breast cancer. tRNA-derived fragments (tRFs) have recently been found to be involved in gene regulation in cancer progression. However, it is unclear how interactions between expression of tRFs and T cell activation affect breast cancer patient survival. We used Kaplan–Meier survival and multivariate Cox regression models to evaluate the effect of interactions between expression of tRFs and T cell activation on survival in 1081 breast cancer patients. Spearman correlation analysis and weighted gene co-expression network analysis were conducted to identify genes and pathways that …

Tricyclic Antidepressant Use And Risk Of Fractures: A Meta-Analysis Of Cohort Studies Through The Use Of Both Frequentist And Bayesian Approaches, Qing Wu, Yingke Xu, Yueyang Bao, Jovan Alvarez, Mikee Lianne Gonzales

School of Medicine Faculty Research

Background: Research findings regarding the association between tricyclic antidepressant (TCA) treatment and the risk of fracture are not consistent; we aimed to assess whether people who take TCAs are at an increased fracture risk. Methods: Relevant studies published through June 2020 were identified through database searches of MEDLINE, EMBASE, Scopus, PsycINFO, ISI Web of Science, WorldCat Dissertations and Theses from each database’s inception, as well as through manual searches of relevant reference lists. Two researchers independently performed literature searches, study selection, data abstraction and study appraisal by using a standardized protocol. Frequentist and Bayesian hierarchical random-effects models were used for …

Space Telescope And Optical Reverberation Mapping Project. Xi. Disk-Wind Characteristics And Contributions To The Very Broad Emission Lines Of Ngc 5547, M. Dehghanian, G. J. Ferland, G. A. Kriss, B. M. Peterson, K. T. Korista, M. R. Goad, M. Chatzikos, F. Guzmán, G. D. Rosa, M. Mehdipour, J. Kaastra, S. Mathur, M. Vestergaard, Daniel Proga, Tim Waters, M. C. Bentz, S. Bisogni, W. N. Brandt, E. D. Bontà, M. M. Fausnaugh, J. M. Gelbord, Keith Horne, I. M. Mchardy, R. W. Pogge, D. A. Starkey

Physics & Astronomy Faculty Research

In 2014 the NGC 5548 Space Telescope and Optical Reverberation Mapping campaign discovered a two-month anomaly when variations in the absorption and emission lines decorrelated from continuum variations. During this time the soft X-ray part of the intrinsic spectrum had been strongly absorbed by a line-of-sight (LOS) obscurer, which was interpreted as the upper part of a disk wind. Our first paper showed that changes in the LOS obscurer produces the decorrelation between the absorption lines and the continuum. A second study showed that the base of the wind shields the broad emission-line region (BLR), leading to the emission-line decorrelation. …

Network Analysis Of Cognitive Symptom Domains In Alzheimer's Disease (Ad), Abigail Rose Baily

UNLV Theses, Dissertations, Professional Papers, and Capstones

Alzheimer’s Disease (AD) is a degenerative neurological disease process that results in cognitive and functional declines and ultimately results in death. The pattern and course of cognitive and functional decline has been well characterized in AD, however little is known about the interactions between the symptoms. Network Analysis is a recently developed mathematical approach of examining the interactions between symptoms, by exploring the covariance of symptoms. The current study utilized network analysis to examine the multivariate structural dependencies among cognitive domains known to be affected in Alzheimer’s disease. The sample consisted of 864 older adults (60-90 years old), selected from …

The Factor Structures Of Ability And Trait Emotional Intelligences Relative To General Intelligence And Personality, Nicholas Carfagno

UNLV Theses, Dissertations, Professional Papers, and Capstones

Emotional Intelligence is a popular term used to describe one’s experience with their own emotions and awareness of others’. Although emotional intelligence is thought to be a helpful predictor of various variables such as work performance and wellbeing, there is disagreement within the field of the precise definition and method of measurement. The current study examines two of the most popular models of emotional intelligence, ability and trait models, to determine if they are the same construct or two different constructs that share a moniker. Additionally, both ability and trait emotional intelligences’ factor structures are examined through hierarchical and bifactor …

Water Quality Prediction Based On Machine Learning Techniques, Zhao Fu

UNLV Theses, Dissertations, Professional Papers, and Capstones

Water is one of the most important natural resources for all living organisms on earth. The monitoring of treated wastewater discharge quality is vitally important for the stability and protection of the ecosystem. Collecting and analyzing water samples in the laboratory consumes much time and resources. In the last decade, many machine learning techniques, like multivariate linear regression (MLR) and artificial neural network (ANN) model, have been proposed to address the problem. However, simple linear regression analysis cannot accurately forecast water quality because of complicated linear and nonlinear relationships in the water quality dataset. The ANN model also has shortcomings …

A Chc Theoretical Approach To Examining Cognitive And Academic Deficits Among Students With Adhd Using A Three-Battery Approach, Jacqueline Scott Hart

UNLV Theses, Dissertations, Professional Papers, and Capstones

Current research into ADHD and Cattell-Horn-Carroll (CHC) factor scores has been examined (Rowland, 2013; Sjöwall, Roth, Lindqvist, & Thorell, 2013), but few studies have evaluated the discrepancies in CHC factor scores of students diagnosed with ADHD compared to healthy controls using the updated Woodcock-Johnson ® IV (WJ IV™) three-battery configuration. With little research on the WJ-IV three-battery configuration, this study expands on the limited research into the discrepancies among students with ADHD compared to healthy controls using CHC factor scores.

Subjects for this study were obtained from 12 schools in a large urban district in northwestern Arizona and standardization data …

Three-Dimensional (3d) Characterization Of The Middle Ordoovician (Darriwilian) Strata In The Southern Great Basin, Western United States, Uday Mohamed Baheej Kara Ali

UNLV Theses, Dissertations, Professional Papers, and Capstones

Carbonates are mostly produced in shallow-marine environments and their deposition is sensitive to water depth changes on carbonate platforms. The water depth in depositional environments of a particular carbonate platform is controlled by the interplay of eustatic sea-level change, tectonic subsidence, platform morphology, and depositional rate. Due to the morphological variations of carbonate platforms in different tectonic settings, facies distribution across carbonate platforms varies significantly even during a single eustatic sea-level cycle. Carbonate platforms developed on passive continental margins are thought to be the most stable platforms and their facies distribution is commonly taken as examples in textbook depositional models. …

Toward Developing A Valid And Reliable Assessment Of Learners’ Nature Of Engineering Views, Erdogan Kaya

UNLV Theses, Dissertations, Professional Papers, and Capstones

Nature of Engineering (NOE) refers to the epistemological beliefs pertaining to engineering (Antink-Meyer & Brown, 2019; Deniz et al., 2019; Hartman & Bell, 2018; Kaya et al., 2017; Pleasants & Olson, 2019). Given that a person’s engineering values and beliefs can affect how that individual perceives not only certain tasks, but also his/her ability to accomplish them, it is important to support pre-college teachers and students in improving their NOE understanding. This continues to be one of the main goals of pre-college Science, Technology, Engineering, and Math (STEM) education, and has become particularly relevant since the release of the Next …

Experimental Polycrystal Stress Mapping Using Raman Spectroscopy, Genevieve C. Kidman

UNLV Theses, Dissertations, Professional Papers, and Capstones

Stress conditions leading to rock deformation influence how a rock will ultimately deform. However, the internal distribution of stress in an elastically anisotropic rock under load, a precursor to rock deformation, is not well understood. Two models that may describe the distribution of stress in polycrystals include the Reuss bound and stress percolation. The Reuss bound, when applied to a polycrystal, describes isostress on each grain resulting in homogeneous intragranular strain and heterogeneous intergranular strain. The stress percolation model involves a network of strong contacts or force chains containing domains of high stress interwoven through areas of lower stress that …

Temporal And Spatial Analysis Of The Wage Gap For Women And Underrepresented Minorities In The Architecture, Engineering, And Construction (Aec) Workforce, Saba Nikkhah Manesh

UNLV Theses, Dissertations, Professional Papers, and Capstones

The Architecture, Engineering, and Construction (AEC) industry has failed to solve persistent labor shortage problems or to fill the labor demand in the workforce by recruiting from untapped/underrepresented groups such as Women and Underrepresented Minorities (WUMs). There have been several studies on diversity and inclusion in the AEC industry, but the issue still persists, as the AEC industry has failed to solve these issues. If the industry better understands the status of wage gaps by gender and race, as well as how the industry has performed in terms of providing comparable wages for the workforce over time, along with the …

Epistemic Aspects Of Engineering For K-12 Education, Ezgi Yesilyurt

UNLV Theses, Dissertations, Professional Papers, and Capstones

The recent science education standards placed a special emphasis on engineering design to build a foundation of students’ learning in engineering and enhance their scientific understanding by using engineering as a real-world context. However, the standards documents put a strong focus on engineering design without providing a comprehensive outlook on the features of the engineering discipline. Such an approach could deprive students of the chance to develop disciplinary knowledge and understand the connections between engineering, science, technology, and society. In this respect, the aim of this study was to illuminate the epistemic aspects of engineering for K-12 science and engineering …

An Investigation Into Multi-View Error Correcting Output Code Classifiers Applied To Organ Tissue Classification, Daniel Alvarez

UNLV Theses, Dissertations, Professional Papers, and Capstones

Large amounts of data is being generated constantly each day, so much data that it is difficult to find patterns in order to predict outcomes and make decisions for both humans and machines alike. It would be useful if this data could be simplified using machine learning techniques. For example, biological cell identity is dependent on many factors tied to genetic processes. Such factors include proteins, gene transcription, and gene methylation. Each of these factors are highly complex mechanism with immense amounts of data. Simplifying these can then be helpful in finding patterns in them. Error-Correcting Output Codes (ECOC) does …

Analysis Of Blockchain-Based Storage Systems, Phillipe Austria

UNLV Theses, Dissertations, Professional Papers, and Capstones

Increasing storage needs has driven cloud storage to become a prevalent choice to store data for both business and personal use. Cloud service providers, such as Google, offer advantages over storing personal hard drives; however, customers lose privacy and require trust in the provider to act honestly with their data. This thesis explores an alternative to cloud storage using Blockchain technology. I focus on Sia, a blockchain-based storage platform that allows users to rent storage from other users.

In this study, I evaluate the security, performance and costs between the Sia and traditional cloud storage. I assessed security based on …

School Gardens As A Tool To Improve Student Health Outcomes And Increase Parent Engagement In The Clark County School District, Sabina Malik

UNLV Theses, Dissertations, Professional Papers, and Capstones

Background-School Gardens (SG) have been used in student programming to help achieve many goals that include increasing academic achievement, improving nutrition knowledge, attitudes, and behaviors, increasing physical activity rates, instilling eco-consciousness, and increasing student and community engagement. To date, garden programs have predominantly been evaluated by case control studies examining pilot or informal short term implementation without consideration of garden program longevity. The purpose of this study was to evaluate the impact of SGs on student knowledge, attitudes, and behaviors related to nutrition and physical activity, examine student connection to the garden, and to identify stakeholder perceptions of best practices …