Digital Commons Network^™

Physical Properties Of Massive Compact Starburst Galaxies With Extreme Outflows, Serena Perrotta, Erin R. George, Alison L. Coil, Christy A. Tremonti, David S.N. Rupke, Julie D. Davis, Aleksandar M. Diamond-Stanic, James E. Geach, Ryan C. Hickox, John Moustakas, Grayson C. Petter, Gregory H. Rudnick, Paul H. Sell, Cameren N. Swiggum, Kelly E. Whalen

All Faculty Scholarship

We present results on the nature of extreme ejective feedback episodes and the physical conditions of a population of massive (M * ∼ 1011 M ⊙), compact starburst galaxies at z = 0.4–0.7. We use data from Keck/NIRSPEC, SDSS, Gemini/GMOS, MMT, and Magellan/MagE to measure rest-frame optical and near-IR spectra of 14 starburst galaxies with extremely high star formation rate surface densities (mean ΣSFR ∼ 2000 M ⊙ yr−1 kpc−2) and powerful galactic outflows (maximum speeds v 98 ∼ 1000–3000 km s−1). Our unique data set includes an ensemble of both emission ([O ii] λλ3726,3729, Hβ, [O iii] λλ4959,5007, Hα, …

December 2021 Report: Examining The Continued Impact Of The Pandemic On Student Achievement In Gvsu Charter Schools, Kiel Mcqueen, Grand Valley State University

Charter School Research Reports

In March 2021, Basis Policy Research (Basis) released a report examining the impact of COVID-19 pandemic-related school closures on student achievement in Grand Valley State University (GVSU) charter schools. Findings revealed adverse effects from the pandemic were concentrated in math; achievement in fall 2020 was between 2 to 12 percentile points lower than the previous fall, with differences in math achievement greater in grades three through five. Basis researchers also found that students made gains in both math and reading; however, math growth was lower since the onset of the pandemic as compared to a typical year.

This report continues …

Mathematical Modelling Of Gene Regulatory Networks, Ruaa Rifaat Al-Shykhly, Lamyaa Mohammed Hameed

Journal of Economics and Administrative Sciences

This research includes the use of an artificial intelligence algorithm, which is one of the algorithms of biological systems which is the algorithm of genetic regulatory networks (GRNs), which is a dynamic system for a group of variables representing space within time. To construct this biological system, we use (ODEs) and to analyze the stationarity of the model we use Euler's method. And through the factors that affect the process of gene expression in terms of inhibition and activation of the transcription process on DNA, we will use TF transcription factors. The current research aims to use the latest methods …

Economic Potash Fertilizer Rate Recommendations, Kimberly B. Oliver

Graduate Theses and Dissertations

This thesis is comprised of two studies that estimate profit-maximizing potassium (K) fertilizer application rates for various crops across different time periods. Estimation of profit-maximizing fertilizer-K rate (K*) for both studies considered the initial soil test level of K (STK) and yield response information, as traditional recommendations do, and added crop price and the cost of fertilizer. Profit maximum occurs where the marginal revenue from additional yield is equal to the marginal cost of applying an additional unit of fertilizer-K. The first study calculated K* for corn (Zea mays) and cotton (Gossypium hirsutum) and compared results to previous studies on …

Statistical Modeling, Learning And Computing For Stochastic Dynamics Of Complex Systems, Mohammadmahdi Hajiha

Graduate Theses and Dissertations

With the recent advances in sensor technology, it is much easier to collect and store streams of system operational and environmental (SOE) data. These data can be used as input to model the underlying behavior of complex engineered systems and phenomenons if appropriate algorithms with well-defined assumptions are developed. This dissertation is comprised of the research work to show the applicability of SOE data when fed into proposed tailored algorithms. The first purposes of these algorithms are to estimate and analyze the reliability of a system as elaborated in Chapter 2. This chapter provides the derivation of closed-form expressions that …

Informing Cognitive Screening In The Young Adult Population, Samantha L. Mcdaniel

Dissertations

The clock drawing test (CDT) is a cognitive screening measure with sound psychometric properties which has been well researched over the past century. The CDT is a popular tool for many healthcare professionals to administer independently or as part of a more thorough cognitive evaluation. Given the drastic technological and social developments over the years since the CDT was developed as well as the persistent research focus on older adult populations, a gap in the CDT literature presented for young adults, who may have difficulty drawing an analog clock. Identifying cognitive impairment can improve health outcomes. The young adult population …

In An Era Of Soft Skills: Investigating Teamwork Skills In The Geosciences, Samuel Cornelius Nyarko

Dissertations

Geoscience employers have increasingly called for student competency in three sets of skills – technical, field and soft skills. One major soft skill identified by employers is teamwork, which is critical in laboratory and field-based activities. At the same time, educators seek to inculcate in students a stronger focus on the development of teamwork skills as they are useful for knowledge sharing and problem solving. This interconnected value of teamwork in both the workforce and academia means students’ preparation should include learning teamwork in the geoscience. However, before educators can design strategies that help students learn critical teamwork skills, we …

Essays On Bitcoin And Cryptocurrencies, Jiasong Wu

Dissertations

Bitcoin and cryptocurrencies, invented as potential digital international currencies, have gradually drawn more and more attention since their birth. The growing popularity of cryptocurrencies in the past decade and the recent acceptance of Bitcoin as legal tender in El Salvador suggests that there is growing acceptance of these instruments and that cryptocurrencies are here to stay. Among these cryptocurrencies, Bitcoin has a unique place being the first and most well-known cryptocurrency in terms of price, market capitalization, and trading volume.

The first two essays of this dissertation focus on Bitcoin and the third essay focuses on the cryptocurrency market in …

Connected And Automated Vehicles: Their Implication On Capacity Of A Basic Freeway Section And Impacts On Walkway Safety, Sia Macmillan Lyimo

Dissertations

Autonomous vehicles have recently gained the attention of researchers due to their expected potential benefits on highway traffic streams, such as improving roadway capacity, among others. It is imperative to investigate how these expected benefits can be leveraged in the transportation sector. Understanding the safety and operational benefits helps the concerned transportation agencies and other key stakeholders to make necessary infrastructural and policy adjustments to accommodate such future traffic operation changes. The main goal of this dissertation is to study the impact of connected and automated vehicles on freeway capacity. The simulated environment was created to emulate autonomous vehicle behaviors, …

Mechanisms And Applications Of Improved Protein Analysis By Desorption Electrospray Ionization Mass Spectrometry (Desi-Ms), Roshan Javanshad

Dissertations

Electrospray ionization mass spectrometry (ESI-MS) is a soft ionization technique that allows detection of macromolecules, such as intact proteins, by the formation of multiply charged ions from solutions. Desorption electrospray ionization mass spectrometry (DESI-MS) is an ambient ionization technique that directly samples analyte from a surface during ESI-MS analysis. Although DESI-MS is highly accomplished at the analyses of metabolites, lipids, and other small molecules, it is far more limited when it comes to protein analysis. While most of the field in ambient ionization MS has moved towards primarily applications, our approach has been to explore the use of DESI-MS and …

Advanced Risk Models To Predict Surgical Site Infections Using Machine Learning Approaches And Risk-Adjusted Control Charts, Rabia Emhamed Al Mamlook

Dissertations

Even though most infections are treatable with antibiotics, Surgical Site Infections (SSIs) remain a significant healthcare problem as they increase hospital stays, require additional treatments, reduce a patient’s quality of life, and increase morbidity and mortality. To reduce the risks and to encourage the highest quality healthcare, it is important to measure, predict, and monitor the risk of SSIs. Preoperative prediction of SSIs is essential to facilitate the implementation of preventative strategies for high-risk patients. The overarching goal of this dissertation is to investigate new opportunities of using machine-learning (ML) to improve the accuracy and use of pre-operative prediction models …

Linear Algebra For Computer Science, M. Thulasidas

Research Collection School Of Computing and Information Systems

This textbook introduces the essential concepts and practice of Linear Algebra to the undergraduate student of computer science. The focus of this book is on the elegance and beauty of the numerical techniques and algorithms originating from Linear Algebra. As a practical handbook for computer and data scientists, LA4CS restricts itself mostly to real fields and tractable discourses, rather than deep and theoretical mathematics.

A Human-Centric System For Symbolic Reasoning About Code, Megan Fowler

All Dissertations

While testing and tracing on specific input values are useful starting points for students to understand program behavior, ultimately students need to be able to reason rigorously and logically about the correctness of their code on all inputs without having to run the code. Symbolic reasoning is reasoning abstractly about code using arbitrary symbolic input values, as opposed to specific concrete inputs.

The overarching goal of this research is to help students learn symbolic reasoning, beginning with code containing simple assertions as a foundation and proceeding to code involving data abstractions and loop invariants. Toward achieving this goal, this research …

A Multi-Dimensional Child-Langmuir Law For Any Diode Geometry, N. R. Sree Harsha, Marcus Pearlman, Jim Browning, Allen L. Garner

Electrical and Computer Engineering Faculty Publications and Presentations

While prior theoretical studies of multi-dimensional space-charge limited current (SCLC) assumed emission from a small patch on infinite electrodes, none have considered emission from an entire finite electrode. In this paper, we apply variational calculus (VC) and conformal mapping, which have previously been used to derive analytic solutions for SCLC density (SCLCD) for nonplanar one-dimensional geometries, to obtain mathematical relationships for any multi-dimensional macroscopic diode with finite cathode and anode. We first derive a universal mathematical relationship between space-charge limited potential and vacuum potential for any diode and apply this technique to determine SCLCD for an eccentric spherical diode. We …

Attenuation Of Several Common Building Materials: Millimeter-Wave Frequency Bands 28, 73, And 91 Ghz, Mahfuza Khatun, Changyu Guo, Hani Mehrpouyan

Electrical and Computer Engineering Faculty Publications and Presentations

Future cellular systems will make use of millimeter-wave (mm-wave) frequency bands. Many users in these bands are located indoors, i.e., inside buildings, homes, and offices. The typical building material attenuations in these high-frequency ranges are of interest for link budget calculations. In this article, we report on a collaborative measurement campaign to find the attenuation of several typical building materials in three potential mm-wave bands (28, 73, and 91 GHz). Using directional antennas, we took multiple measurements at multiple locations using narrow-band and wideband signals and averaged out residual small-scale fading effects. The materials include clear glass, drywall (plasterboard), plywood, …

An Analysis Of Significant Cyber Incidents And The Impact On The Past, Present, And Future, Seth E. Smith

Cybersecurity Undergraduate Research Showcase

This report discusses data collected on significant cybersecurity incidents from the early 2000s to present. The first part of the report addresses previously discussed information, data, and literature (e.g. case studies), pertinent to cybersecurity incidents. The findings from this study are framed by scholarly sources and information from the Federal Bureau of Investigation, a number of notable universities, and literature online, of which all support information discussed within this report. The second part of the report discusses data compiled upon analyzing significant cyber incidents and events from the Center for Strategic and International Affairs (CSIS). Finally, the last portion of …

Lorentz Violations And The Casimir Effect, Samuel G. Christensen

Physics

The background and calculation for the corrections to the Casimir Energy stored on parallel conducting plates due to minimal violations of Lorentz invariance are presented as a test of the Standard Model. A direction-dependent photon dispersion relation using operators of dimension 4 and higher is used in the calculation of the spacetime anisotropy correction terms to the Casimir energy. The calculation includes discussion of Riemann zeta function regularization and its equivalence to Euler-Maclaurin sum-integral formulas in a Casimir effect calculation. The two plate geometry result is mapped onto a one plate and sphere geometry to cater to modern precision tests …

Rigid Aggregation Of Inclusions Embedded In Quasi 2d Fluids, Natalie Xochitl Ryan

Physics

Diffusion is a transport process common in several biological systems. In this process particles of different species mix together through random (stochastic) motion at molecular length scales. Diffusion in fluids is unique as the coupling of the flow and fluid have been found to produce giant concentration fluctuations. The molecular length scale of these concentration fluctuations are magnitudes larger than the movement of the particles themselves, earning them the title “giant”. The diffusion of particles in bio-membranes displays a combination of 2D and 3D hydrodynamic properties; the movements of the particles are restricted to the plane of the membrane and …

Distributed And Optimal State Estimation For Heterogeneous Dynamic Systems Operating Within A Strongly Connected Network, Matthew Howard

Electronic Theses and Dissertations, 2020-2023

This dissertation is aimed at developing optimal and distributed state estimation algorithms for a team of cooperating nodes with the goal of improving accuracy through local sharing of relevant information. The nodes are assumed to be individually equipped with heterogeneous sensors for measuring a common target which can be dynamic and time-varying. Additionally, the nodes are assumed to be connected through a dynamically changing communication network modeled as a sequence of strongly connected digraphs allowing for local communication and distributed interactions. Using the data sharing afforded by the communication network, a weighted average state estimate consensus can be found across …

Quantifiability: Concurrent Correctness From First Principles, Victor Cook

Electronic Theses and Dissertations, 2020-2023

Architectural imperatives due to the slowing of Moore's Law, the broad acceptance of relaxed semantics and the O(n!) worst case verification complexity of sequential histories motivate a new approach to concurrent correctness. Desiderata for a new correctness condition are that it be independent of sequential histories, compositional over objects, flexible as to timing, modular as to semantics and free of inherent locking or waiting. This dissertation proposes Quantifiability, a novel correctness condition based on intuitive first principles. Quantifiablity is formally defined with its system model. Useful properties of quantifiability such as compositionality, measurablility and observational refinement are demonstrated. Quantifiability models …

Optimising Cold Chain Asset Locations With Real-Estate Considerations: A China Perspective, Chaik Ming Koh

Dissertations and Theses Collection (Open Access)

This thesis explores the logistics costs optimization of a cold chain logistics network with a real estate perspective. This study draws on data and experience of a cold chain player in China. This study seeks to help users who are currently renting large amounts of warehouse space to quantitatively and systematically evaluate if they should construct their own warehouses and then do a sale-and-leaseback to achieve economic benefits. Using a computing optimization model, the study was able to find the optimized parameters of warehouse capacity, warehouse quality to build as well as the recommended existing network warehouses to use, to …

Numerical Study On The Effect Of Seismic Vibrations On Oil Recovery Using A Pore-Model, Anoop Kanjirakat, Albertus Retnanto

Manipal Journal of Science and Technology

A numerical study to evaluate the effectiveness of using seismic vibrations to improve oil recovery is reported. The effect of the characteristics of the seismic vibrations, such as displacement amplitude and frequency, are studied. The enhancement in oil recovery from a simple pore model subjected to constant inlet injection flow rates and seismic vibrations is investigated. It is observed that seismic recovery increases with an increase in displacement amplitude and vibration frequency. In addition, oil recovery is more pronounced with an increase in displacement amplitude than with an increase in vibration frequency. When the injection flow rates are higher, seismic …

A Case Study Of Teacher Candidates’ Experiences: Writing The Pilot Math Proficiency Test In Ontario, Canada, Ardavan Eizadirad, Jennifer Holm, Steve Sider

Education Faculty Publications

The focus of this article is on the introduction, justification, and enactment of the Mathematics Proficiency Test (MPT) by the provincial government in Ontario, Canada as a mandatory certification requirement for newly certified teachers. This article contextualizes the socio-political factors leading to the enactment of a MPT for newly certified teachers, developed and administered by the Education Quality and Accountability Office (EQAO), which was ostensibly to mitigate the trend of declining math scores in elementary schools. It then shifts to examine the experiences of the first cohort of teacher candidates from a Canadian university who participated in writing the pilot …

Toi-1431b/Mascara-5b: A Highly Irradiated Ultrahot Jupiter Orbiting One Of The Hottest And Brightest Known Exoplanet Host Stars, B. C. Addison, E. Knudstrup, I. Wong, G. Hébrard, P. Dorval, I. Snellen, S. Albrecht, A. Bello-Arufe, J.-M. Almenara, I. Boisse, X. Bonfils, S. Dalal, O. D. S. Demangeon, S. Hoyer, F. Kiefer, N. C. Santos, G. Nowak, R. Luque, M. Stangret, E. Palle, R. Tronsgaard, V. Antoci, L. A. Buchhave, M. N. Günther, T. Daylan, F. Murgas, H. Parviainen, E. Esparza-Borges, N. Crouzet, N. Narita, A. Fukui, K. Kawauchi, N. Watanabe, M. Rabus, M. C. Johnson, G. P. P. L. Otten, G. J. Talens, S. H. C. Cabot, D. A. Fischer, F. Grundahl, M. Fredslund Andersen, J. Jessen-Hansen, P. Pallé, A. Shporer, D. R. Ciardi, J. T. Clark, R. A. Wittenmyer, D. J. Wright, J. Horner, K. A. Collins, Eric L.N. Jensen, J. F. Kielkopf, R. P. Schwarz, G. Srdoc, M. Yilmaz, H. V. Senavci, B. Diamond, D. Harbeck, T. D. Komacek, J. C. Smith, S. Wang, J. D. Eastman, K. G. Stassun, D. W. Latham, R. Vanderspek, S. Seager, J. N. Winn, J. M. Jenkins, D. R. Louie, L. G. Bouma, J. D. Twicken, A. M. Levine, B. Mclean

Physics & Astronomy Faculty Works

We present the discovery of a highly irradiated and moderately inflated ultrahot Jupiter, TOI-1431b/MASCARA-5 b (HD 201033b), first detected by NASA's Transiting Exoplanet Survey Satellite mission (TESS) and the Multi-site All-Sky Camera (MASCARA). The signal was established to be of planetary origin through radial velocity measurements obtained using SONG, SOPHIE, FIES, NRES, and EXPRES, which show a reflex motion of K = 294.1 ± 1.1 m s⁻¹. A joint analysis of the TESS and ground-based photometry and radial velocity measurements reveals that TOI-1431b has a mass of M_p = 3.12 ± 0.18 M_J (990 ± 60 M_{⊕ …}

Analytical Approach To Biometric Security And How It Affects Privacy, Torré A. Williams

Cybersecurity Undergraduate Research Showcase

In this time where the world is using technology every day, there is going to be a need for some type of security to take place to protect its citizens from unwanted harm or danger. The use of any authentication methods is becoming very essential for a lot of companies and even for your own personal belongings. The use of biometric technology has offered companies the chance to upgrade their security system. This has also provided easier ways that people authenticate themselves as who they say they are. Due to their growth of usage, there is a privacy and security …

Designing, Developing, And Deploying Fast And Secure System Architecture With Autonomous Data Importation Feature For Statefarm’S Sponsored Lifefit App, Sushant Gupta

2021 Fall Honors Capstone Projects - Archive

Our sponsor, State Farm Insurance, is interested in creating a system that will maintain a record of profile for its customers’ daily health habits to get a better view of their overall health. The system should use Machine Learning on the user’s recorded health data, along with other health related information, to determine how healthy the individual is and to provide better health and/or life insurance rates to that individual. Concerning the sponsor requirements, we created the system called Lifefit Application. It is a mobile (Android and IOS) and web-based application which, with the support of AWS cloud computing and …

Development Of Methodology And Software To Ensure The Quality Performance Of The Deep Underground Neutrino Experiment High Voltage Field Cage, Archit Jaiswal

2021 Fall Honors Capstone Projects - Archive

The Deep Underground Neutrino Experiment (DUNE) is the U.S. flagship experiment being designed to study the characteristics of neutrinos which make up a quarter of the fundamental particle map. These subatomic particles help physicists understand the fundamental constituents of matter in the universe. In DUNE, neutrino interactions will be captured inside the active volume of the time projection chamber (TPC) using liquid argon (LAr) as the medium. The DUNE detector will be built using various parts assembled according to the proposed design which enables accomplishing the precision measurements for the underlying physics goals. The detector is constructed by assembling various …

A Practical Moral Theory The Failed State Of Normative Ethics, Gage Martinez

2021 Fall Honors Capstone Projects - Archive

Normative ethics can be described as the investigation into how one ought to act, morally speaking. The state of contemporary normative ethics is, essentially, a split between consequentialist (the idea that things are morally right or wrong based on their consequence) and non-consequentialist thought. Yet in practice, no one seems to be able to live by these moral theories, and I argue that it would be bizarre to do so as well. I examine reasons to believe that neither theory provides a complete account of real moral life, and how they fail at being prescriptive in practice. I provide a …

Search For Low Mass Dark Matter Using Leptophilic Gauge Boson Model In Neutrino Experiments: Miniboone And Dune, Gajendra Gurung

2021 Fall Honors Capstone Projects - Archive

Dark Matter (DM) is a form of matter that makes about 25% of the universe as indicated by cosmological evidence, like weak gravitational lensing, cosmic microwave background, rotation of spiral galaxies, etc. Despite its abundance, DM limitedly interacts with light or normal matter, thus, it is difficult to study and d etect. In search of DM, we go beyond the Standard Model (SM) of Particle Physics by introducing models with particles that only interact weakly with known SM particles. We study different models and search for signatures of such particles in the proton dump mode of neutrino experiments, such as …

Cfd Study: Influence Of Angle Of Attack And Ground Effect On Racecar Wings, Yogesh Gautam

2021 Fall Honors Capstone Projects - Archive

Aerodynamics is a very important factor while designing a racecar. Slight changes in the profile of the body could be the difference between winning and losing a race. In this study, the wing designed for the Global Electric Vehicle Challenge by Everest Engineering, a student team from the University of Texas at Arlington, is simulated to analyze its aerodynamic properties. The simulation is done on a single element wing with varying angles of attack and height from the ground. The Solid model is prepared in solid works and the computational fluid dynamics simulations are performed through ANSYS Fluent. The main …