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Teachers’ Experiences In Implementing Primary School Physical Education Curriculum In Ghana And The United States, Patrick Collins Frempong

Theses and Dissertations

Barriers to implementing a full physical education curriculum presented challenges to teaching students about healthy lifestyles and supporting them through effective lessons. This mixed-methods study aimed to explore and compare primary school teachers’ experiences in rural Ghana and the United States in implementing the physical education curriculum. The present study addresses gaps in the literature by connecting teacher concerns when implementing a curriculum with fidelity. The mixed-methods study helped explore and compare primary school teachers’ experiences in rural (town populations of less than 5,000) Ghana and rural towns of the southern United States in implementing the physical education curriculum.

This …

Opioids And Opioid Use Disorder Treatment In Pregnancy: Spontaneous Abortion And Childhood Neurodevelopmental Disorders, Mennatullah Hasan

Open Access Master's Theses

Opioids, recognized for their efficacy in pain management, have seen a marked increase in prescription rates for use during pregnancy over the last two decades. Opioid utilization in this context is primarily attributed to the management of pain, a prevalent condition in pregnancy. Notably, over 70% of pregnancies are associated with low back and pelvic pain, while other frequent pain conditions include myalgia, joint pain, and migraine. The predominant indication for prescribing opioids during pregnancy is the treatment of acute pain. This trend is expected to persist or even escalate, considering the rising maternal age and the concomitant increase in …

Comparison Of Concurrent Measurement Of Rayleigh Waves Using A Distributed Acoustic Sensor And Geophones, Caleb Lintz

Open Access Master's Theses

Distributed acoustic sensing (DAS) systems provide the capability to monitor a wide range of seismic and acoustic events using a fiber optic cable and an optical sensor. Existing and proven methods of monitoring acoustic events have used geophones to sense vibrational events. To explore the limits of how and when best to utilize these monitoring devices, this study investigated the limits and capabilities of both DAS and geophones. By comparing data received concurrently from each type of system, we can better understand how to utilize available monitoring equipment.

To compare the performance of both these instruments, an experiment was designed …

2023 Viewbook, Office Of Admissions

Viewbook

At IMSA, you will be part of a community of 652 diverse students passionate about learning. Located in suburban Aurora, IMSA’s campus consists of seven residence halls spread across 97 acres. While living and learning on campus, you’ll make new friends, encounter new ideas, and learn to live independently. You will also have the opportunity to explore over 85 clubs, organizations, and IHSAsponsored co-curricular and athletic programs. IMSA provides a safe, nurturing environment. Professional Resident Counselors (RCs) live in each hall and will help you navigate your home away from home through the Residential Life Curriculum.

Heaven? Is It Worth It?: The Effect Of Belief On Religious Participation And Signaling, Claudia R. Chin

Scripps Senior Theses

Religion has long been a subject that baffles economists because of its seemingly inefficient requirements. It is hard to get one's mind around why an individual would be willing to give up secular commodities for religion, or face the strict entry costs and stigma society associates with the religion. Although many reasons have been suggested, the most widely accepted solution to why we engage in these behaviors is Religious Signaling Theory (RST). RST argues that people engage in these ineffective costs as a way to signal their commitment to the religion, and religions were utilized by society to enforce these …

Interpersonal Emotions As Emergent Phenomena: Social Neuroscience Beyond Western Cultural Constructions, Kaitlyn Penchina

Scripps Senior Theses

Because science as it exists today is a cultural construction of the West, studies of neuroscience have often been limited by Western perspectives. In particular, the Western proclivity towards individualism has led to a field of neuroscience which has historically focused on studying single individuals, as opposed to social or collective neuroscience. For the most part, it has just been assumed that collective phenomena such as interpersonal emotions must be able to be reduced in terms of individual phenomena such as individual emotions. However, closer review reveals that interpersonal emotions have emergent properties that individual emotions alone do not account …

Wireless Investors & Apathy Obsolescence, Sergio Alberto Gramitto Ricci, Christina M. Sautter

Hofstra Law Faculty Scholarship

This Article discusses how a subgenre of retail investors makes investors' apathy obsolete. In prior work, we dub retail investors who rely on technology and online communications in their investing and corporate governance endeavors "wireless investors." By applying game theory, this Article discusses how wireless investors' global-scale online interactions allow them to circulate information and coordinate, obliterating collective action problems.

Data Driven Method To Assess Safety And Energy On Freeway And Intersection Performance Using Probe Vehicle, Rezwana Kabir

Wayne State University Dissertations

Traffic congestion in cities is becoming a more pressing issue as travel demand increases, leading to safety and mobility problems and wasteful use of vehicle energy. Both freeways and signalized corridors are important in creating an efficient transportation network, and congestion on these infrastructure types presents a significant mobility concern in the United States. With advances in sensing technologies for intelligent transportation systems, probe vehicles equipped with GPS-enabled devices such as cell phones and in-vehicle telematics or navigation systems are increasingly being used to gather more information about traffic conditions. While fixed point detectors can be limited by their geographical …

Exploring Faculty Perspectives On Open Access At A Medium-Sized, American Doctoral University, Rachel E. Scott, Julie Murphy, Cassie Thayer-Styes, Chad E. Buckley, Anne Shelley

Faculty and Staff Publications – Milner Library

Faculty hold widely varying perspectives on the benefits and challenges afforded by open access (OA) publishing. In the United States, conversations on OA models and strategy have been dominated by scholars affiliated with Carnegie R1 institutions. This article reports findings from interviews conducted with faculty at a Carnegie R2 institution, highlighting disciplinary and individual perspectives on the high costs and rich rewards afforded by OA. The results reiterate the persistence of a high degree of skepticism regarding the quality of peer review and business models associated with OA publishing. By exploring scholars’ perceptions of and experiences with OA publishing and …

Spherical Aluthge Transform, Spherical P And Log-Hyponormality Of Commuting Pairs Of Operators Ii, Hyung Won Kim, Jaewoong Kim, Jasang Yoon

School of Mathematical & Statistical Sciences Faculty Publications

In this paper, we consider the notions of spherical p, log, and w-hyponormality of commuting pairs of operators and study their properties and relations. We first show that spherically p-hyponormal 2-variable weighted shifts of hyponormal operators are invariant under powers and the generalized spherical Aluthge transformation. Second, we study the relation between spherical p-hyponormality and spherical w-hyponormality. Third, we study whether the spherical p-hyponormality with 0<p< 1 is invariant under the spherical Aluthge transformation. Finally, we briefly discuss the relation between log-hyponormality in single operators and spherically log-hyponormality in commuting pairs of operators.

Exploring New Horizons: Surgical Robots Supported By Artificial Intelligence, Aish Hussein, Mohamed Elsayed Sallam, Mohamed Yehia Ahmed Abdalla

Mesopotamian Journal of Artificial Intelligence in Healthcare

Artificial intelligence-assisted surgical robots combine the agility and accuracy of robotic systems with the cutting-edge capabilities of AI technology. These advanced surgical robots are made to help surgeons carry out difficult surgical procedures more precisely and effectively. Surgical robots with AI algorithms built in can analyse enormous volumes of patient data, make choices in real-time, and adjust to changing circumstances. The surgical process and patient safety could both be considerably improved by this technology. Several important advantages of surgical robots powered by AI include Enhanced Accuracy Surgical robots can make extremely precise motions with little error because of the capabilities …

Equity In Focus : Investigating Gender Disparities In Glioblastoma Via Propensity Score Matching, Solomon Eshun

School of Mathematical & Statistical Sciences Faculty Publications

Gender disparities in health outcomes have garnered significant attention, prompting investigations into their underlying causes. Glioblastoma (GBM), a devastating and highly aggressive form of brain tumor, serves as a case for such inquiries. Despite the mounting evidence on gender disparities in GBM outcomes, investigations specific at the molecular level remain scarce and often limited by confounding biases in observational studies. In this study, I aimed to investigate the gender-related differences in GBM outcomes using propensity score matching (PSM) to control for potential confounding variables. The data used was accessed from the Cancer Genome Atlas (TCGA), encompassing factors such as gender, …

Final Report: Conceptualizing Ethics, Authenticity, And Efficacy Of Simulations In Teacher Education, Carrie Wilkerson Lee, Liza Bondurant, Bima Sapkota, Heather Howell, Yvonne Lai

School of Mathematical & Statistical Sciences Faculty Publications

This working group was a continuation of working groups in 2019 and 2021 that initially aimed to focus on equity in simulations of practice in mathematics teacher education. We began by discussing our conceptualizations of simulations and equity. Next, we reflected on the lack of work that currently exists at the intersection of simulations and equity as well as our limited collective expertise in this space. We proposed the following areas of potential research: Access, Design, Affective Domains, Teaching Practices, Assessment, Critical Conversations. Attendees self-selected into focus groups and met to discuss their current work and how future work could …

Tau-Function Formulation For Bright, Dark Soliton And Breather Solutions To The Massive Thirring Model, Junchao Chen, Bao-Feng Feng

School of Mathematical & Statistical Sciences Faculty Publications

In the present paper, we are concerned with the link between the Kadomtsev–Petviashvili–Toda (KP–Toda) hierarchy and the massive Thirring (MT) model. First, we bilinearize the MT model under both the vanishing and nonvanishing boundary conditions. Starting from a set of bilinear equations of two-component KP–Toda hierarchy, we derive multibright solution to the MT model. Then, considering a set of bilinear equations of the single-component KP–Toda hierarchy, multidark soliton and multibreather solutions to the MT model are constructed by imposing constraints on the parameters in two types of tau function, respectively. The dynamics and properties of one- and two-soliton for bright, …

Probabilistic Solutions Of Fractional Differential And Partial Differential Equations And Their Monte Carlo Simulations, Tamer Oraby, Erwin Suazo, Harrinson Arrubla

School of Mathematical & Statistical Sciences Faculty Publications

The work in this paper is four-fold. Firstly, we introduce an alternative approach to solve fractional ordinary differential equations as an expected value of a random time process. Using the latter, we present an interesting numerical approach based on Monte Carlo integration to simulate solutions of fractional ordinary and partial differential equations. Thirdly, we show that this approach allows us to find the fundamental solutions for fractional partial differential equations (PDEs), in which the fractional derivative in time is in the Caputo sense and the fractional in space one is in the Riesz–Feller sense. Lastly, using Riccati equation, we …

Long-Time Asymptotics Of A Complex Cubic Camassa-Holm Equation, Hongyi Zhang, Yufeng Zhang, Zhijun Qiao

School of Mathematical & Statistical Sciences Faculty Publications

n this paper, we study the Cauchy problem of the following complex cubic Camassa-Holm (ccCH) equation mt=bux+12[m(|u|2−|ux|2)]x−12m(uu¯x−uxu¯),m=u−uxx,

where b is an arbitrary real constant. %By applying ∂¯-steepest descent method, l Long-time asymptotics of the equation is obtained through the ∂¯-steepest descent method. Firstly, based on the spectral analysis of the Lax pair and scattering matrix, the solution of the equation is able to be constructed %can be expressed by %the solution of via solving the corresponding Riemann-Hilbert problem (RHP). Then, we present %obtain different long time asymptotic expansions of the solution u(y,t) in different space-time solitonic regions of ξ=y/t. The …

Borsuk–Ulam Type Theorems For G-Spaces With Applications To Tucker Type Lemmas, Oleg R. Musin, Alexey Yu. Volovikov

School of Mathematical & Statistical Sciences Faculty Publications

In this paper we consider several generalizations of the Borsuk–Ulam theorem for G-spaces and apply these results to Tucker type lemmas for G-simplicial complexes and PL-manifolds.

Quantization Dimension For Inhomogeneous Bi-Lipschitz Ifs, Amit Priyadarshi, Mrinal Kanti Roychowdhury, Manuj Verma

School of Mathematical & Statistical Sciences Faculty Publications

Let ν be a Borel probability measure on a d-dimensional Euclidean space Rd, d≥1, with a compact support, and let (p0,p1,p2,…,pN) be a probability vector with pj>0 for 1≤j≤N. Let {Sj:1≤j≤N} be a set of contractive mappings on Rd. Then, a Borel probability measure μ on Rd such that μ=∑Nj=1pjμ∘S−1j+p0ν is called an inhomogeneous measure, also known as a condensation measure on Rd. For a given r∈(0,+∞), the quantization dimension of order r, if it exists, denoted by Dr(μ), of a Borel probability measure μ on Rd represents the speed at which the nth quantization error of order r …

Resurgence Of Habiro Elements, Samuel Crew, Ankush Goswami, Robert Osburn

School of Mathematical & Statistical Sciences Faculty Publications

We prove resurgence properties for the Borel transform of elements in the Habiro ring which satisfy a general type of strange identity. As an application, we provide evidence for (and against) conjectures in quantum topology due to Costin and Garoufalidis.

Classification On Boundary-Equilibria And Singular Continuums Of Continuous Piecewise Linear Systems, Hebai Chen, Zhaosheng Feng, Hao Yang, Linfeng Zhou

School of Mathematical & Statistical Sciences Faculty Publications

In this paper, we show that any switching hypersurface of n -dimensional continuous piecewise linear systems is an (n−1) -dimensional hyperplane. For two-dimensional continuous piecewise linear systems, we present local phase portraits and indices near the boundary equilibria (i.e. equilibria at the switching line) and singular continuum (i.e. continuum of nonisolated equilibria) between two parallel switching lines. The index of singular continuum is defined. Then we show that boundary-equilibria and singular continuums can appear with many parallel switching lines.

Quantization For A Set Of Discrete Distributions On The Set Of Natural Numbers, Juan Gomez, Haily Martinez, Mrinal Kanti Roychowdhury, Alexis Salazar, Daniel J. Vallez

School of Mathematical & Statistical Sciences Faculty Publications

The quantization scheme in probability theory deals with finding a best approximation of a given probability distribution by a probability distribution that is supported on finitely many points. In this paper, first we state and prove a theorem, and then give a conjecture. We verify the conjecture by a few examples. Assuming that the conjecture is true, for a set of discrete distributions on the set of natural numbers we have calculated the optimal sets of n-means and the nth quantization errors for all positive integers n. In addition, the quantization dimension is also calculated.

Note On Illuminating Constant Width Bodies, Alexey Glazyrin

School of Mathematical & Statistical Sciences Faculty Publications

Recently, Arman, Bondarenko, and Prymak constructed a constant width body in R n whose illumination number is exponential in n. In this note, we improve their bound by generalizing the construction. In particular, we construct a constant width body in R n whose illumination number is at least (τ + o(1))n, where τ ≈ 1.047.

Constrained Quantization For Probability Distributions, Megha Pandey, Mrinal Kanti Roychowdhury

School of Mathematical & Statistical Sciences Faculty Publications

In this paper, for a Borel probability measure P on a Euclidean space Rk, we extend the definitions of nth unconstrained quantization error, unconstrained quantization dimension, and unconstrained quantization coefficient, which traditionally in the literature known as nth quantization error, quantization dimension, and quantization coefficient, to the definitions of nth constrained quantization error, constrained quantization dimension, and constrained quantization coefficient. The work in this paper extends the theory of quantization and opens a new area of research. In unconstrained quantization, the elements in an optimal set are the conditional expectations in their own Voronoi regions, and it is not true …

Furthering Usability And Efficiency Of Massively Parallel Gaussian Process Regression As Applied To Multi-Beam Sonar Data, Phillip M. Parisi

Open Access Master's Theses

Massively Parallel Gaussian Process Regression (MP-GPR) is a parallelized programmatic implementation of a machine learning algorithm used to process multi-beam sonar data and generate 2.5D terrain maps in close to real-time. This thesis furthered the capabilities of MP-GPR in two ways. The first introduced data reduction techniques to reduce the quantity of data inputted to the MP-GPR algorithm for computational efficiency. Various approaches were analyzed to determine an optimal data minimization strategy. The second informed the variances of regression estimates by considering beam angle and range uncertainty of the multi-beam sonar data being analyzed. In tandem, the presented methodologies decreased …

Power And Sample Size Calculations For Evaluating Spillover Effects In Networks With Non-Randomized Interventions, Ke Zhang

Open Access Master's Theses

Determining the appropriate sample size that is needed to achieve a desired level of statistical power is an integral aspect of study design, as it ensures that studies are adequately powered and that their results are reliable and meaningful. Adequate statistical power can also address some practical and ethical considerations. Various methodologies for power and sample size calculations have been developed for distinct types of studies. However, the implications for power when estimating spillover effects in sociometric network-based studies with non-randomized interventions (SNS-NRIs) remain inadequately explored. In this study, we first conducted a series of simulations to evaluate how the …

Recovering The Full Network Using A Sampling Bias Adjustment In Sampled Network, Ryan Humphreys

Open Access Master's Theses

This project aimed to investigate the differences in terms of network structural characteristics between full and sampled networks and to develop a new weighted generalized estimating equations model (WGEE) in order to mitigate the sampling bias and obtain less biased sample estimates for model coefficients and standard errors. The applications of such an approach are of interest in the field of network analysis and public health studies. The Transmission Reduction Intervention Project (TRIP) is an HIV study using risk networks and is a key motivator for this work. Two other motivating examples were constructed where it was found that sampled …

Examination Of Varying Pair Programming Strategies In Computer Science Laboratory Environments, Lily Sisouvong

Open Access Master's Theses

Pair programming is a technique within the computer science space in which two programmers are paired on one computer to solve a related programming task. This technique is often practiced in both the industry and the academic setting, as it has a consistent history of positively impacting working professionals and students regarding personal experience and performance in programming. As a result, there has been a large focus within the computer science education field on how and why pair programming is a successful technique. More specifically, what traits of pairing students together make pair programming successful. At the University of Rhode …

Analysis Of Turkey Reovirus Using Machine Learning, Maryam Kafikang

Open Access Master's Theses

Avian reoviruses continue to cause disease in turkeys with varied pathogenicity and tissue tropism. Turkey enteric reovirus (TERV) has been identified as a causative agent of enteritis or inapparent infections in turkeys. The new emerging variants of turkey reovirus tentatively named as turkey arthritis reovirus (TARV) and turkey hepatitis reovirus (THRV) are linked to tenosynovitis/arthritis and hepatitis, respectively. Turkey arthritis and hepatitis reoviruses are causing significant economic losses to the turkey industry. These infections can lead to poor weight gain, uneven growth, poor feed conversion, increased morbidity and mortality, and reduced marketability of commercial turkeys. To combat these issues, it …

Neural Network Based Generation Of Radar Heatmaps For Advanced Driver Assistance Systems (Adas), Angela Klassen

Open Access Master's Theses

Radar sensors are an essential component of Advanced Driver Assistance Systems (ADAS). They use radio waves to monitor the surroundings of a vehicle, capturing data that can be utilized to provide assistance to the driver. Major challenges of this procedure are the high complexity and the considerable power consumption that the transfer of radar data to subsequent processing units requires. This work addresses these issues by using deep learning architectures to compress the raw data captured by radar before it is being transmitted. As proceeding step so-called Range-Angle (RA) Heatmaps are reconstructed from the compressed data. These heatmaps present an …

Navigating The Void: Uncovering Research Gaps In The Detection Of Data Poisoning Attacks In Federated Learning-Based Big Data Processing: A Systematic Literature Review, Mohammad Aljanabi, Hijaz Ahmad

Mesopotamian Journal of Big Data

This systematic literature review scrutinizes the landscape of research at the intersection of federated learning, big data processing, and data poisoning attacks. Employing a meticulous search strategy across multiple databases, the studyunveils a surge in annual scientific production, emphasizing a growing interest in federated learning and related fields. However, a critical research gap becomes evident during the investigation of data poisoning attacks specifically in the context of federated learning when processing big data. The most relevant keywords and a visually compelling word cloud further illuminate the prevailing themes and emphases within the literature, emphasizing the lack of explicit focus on …