Digital Commons Network^™

Music Education In The Urban Classroom: Issues Of Equity And Access, Lakeisha Walker

Theses

Music education in urban classrooms plays a crucial role in shaping students' overall development and academic success. The field of music education is not immune to the challenges of equity and access that exist in urban settings. It is essential to address these issues to ensure that all students have equal opportunities to participate in music programs and reap the countless benefits that come with them.

The importance of this topic in the field of music education cannot be overstated. Research has shown that students who participate in music programs demonstrate improved academic performance, enhanced cognitive skills, and increased creativity. …

The Information Content Of Financial Statement Fraud Risk: An Ensemble Learning Approach, Wei Duan, Nan Hu, Fujing Xue

Research Collection School Of Computing and Information Systems

This study aims to assess the financial statement fraud risk ex ante and empirically explore its information content to help improve decision-making and daily operations. We propose an ex-ante fraud risk index by adopting an ensemble learning approach and a theoretically grounded framework. Our ensemble learning model systematically examines the fraud process and deals effectively with the unique challenges in the financial fraud setting, which yields superior prediction performance. More importantly, we empirically examine the information content of our estimated ex-ante fraud risk from the perspective of operational efficiency. Our empirical results find that the estimated ex-ante fraud risk is …

Arkansas Corn And Grain Sorghum Research Studies 2023, Jason Kelley, Travis Faske

Arkansas Agricultural Experiment Station Research Series

The 2023 edition of the Arkansas Corn and Grain Sorghum Research Studies Series includes research results on topics pertaining to corn and grain sorghum production, including weed, disease, and insect management; economics; irrigation; agronomics; soil fertility; mycotoxins; cover crop management; and research verification program results. Our objective is to capture and broadly distribute the results of research projects funded by the Arkansas Corn and Grain Sorghum Board. The intended audience includes producers and their advisors, current investigators, and future researchers. The Series serves as a citable archive of research results.

Assessing Rice Phenological Features With Hyperspectral Imaging Insights From Earth Surface Mineral Dust Source Investigation (Emit), Shahryar Fazli, Wenzhao Li, Surendra Maharjan, Hesham El-Askary

Mathematics, Physics, and Computer Science Faculty Articles and Research

In California's Central Valley, water management and crop health, particularly in rice cultivation, are critical. This paper details the application of Earth surface Mineral dust source InvesTigation (EMIT) hyperspectral imaging, specifically employing Spectral Correlation Mapper (SCM) and Spectral Information Divergence (SID), for precise phenological analysis. By aligning EMIT data with Hyperion satellite references, we address spectral and geographical discrepancies. Our methodology includes seasonal sampling of spectral curves to capture the phenological stages of rice. Results show a strong correlation (R ² = 0.86) between August EMIT and Reference dataset, emphasizing EMIT's utility in enhancing agricultural practices and water efficiency in …

Enhancing Sustainable Development Goals Through Future Vapor Pressure Deficit Analysis In The Nile River Basin, Surendra Maharjan, Wenzhao Li, Shahryar Fazli, Hani Sewilam, Hesham El-Askary

Mathematics, Physics, and Computer Science Faculty Articles and Research

Vapor Pressure Deficit (VPD) is crucial in meteorology and agriculture for understanding plant-environment interactions. Its application as an indicator in agricultural practices notably advances Sustainable Development Goals such as Zero Hunger (SDG 2) and Climate Action (SDG 13). This research focuses on the impact of climate change on agricultural productivity and food security in the Nile River Basin (NRB), emphasizing the role of VPD, temperature, and precipitation. Utilizing Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets from NEX-GDDP-CMIP6, the study analyzes key climatic variables that influence agricultural conditions. The study applies the Mann-Kendall test to evaluate VPD trends from 2000 …

Privacy-Preserving Information Fusion Technique For Device To Server-Enabled Communication In The Internet Of Things: A Hybrid Approach, Amal Al-Rasheed, Rahim Khan, Tahani Alsaed, Mahwish Kundi, Mohamad Hanif Md. Saad, Mahidur R. Sarker

Artículos científicos

Due to the overwhelming characteristics of the Internet of Things (IoT) and its adoption in approximately every aspect of our lives, the concept of individual devices’ privacy has gained prominent attention from both customers, i.e., people, and industries as wearable devices collect sensitive information about patients (both admitted and outdoor) in smart healthcare infrastructures. In addition to privacy, outliers or noise are among the crucial issues, which are directly correlated with IoT infrastructures, as most member devices are resource-limited and could generate or transmit false data that is required to be refined before processing, i.e., transmitting. Therefore, the development of …

Finding Condorcet, Nicholas O. Stephanopoulos

Washington and Lee Law Review

Instant-runoff voting (“IRV”) is having a moment. More than a dozen American localities have adopted it over the last few years. So have two states. Up to four more states may vote on switching to IRV in the 2024 election. In light of this momentum, it’s imperative to know how well IRV performs in practice. In particular, how often does IRV elect the candidate whom a majority of voters prefer over every other candidate in a head-to-head matchup, that is, the Condorcet winner? To answer this question, this Article both surveys the existing literature on American IRV elections and analyzes …

Protecting Minority Representation In An Era Of Political Polarization And The Hollowing Out Of Voting Rights Protections, Henry L. Chambers Jr.

Washington and Lee Law Review

The United States Supreme Court has hollowed out various voting rights protections, leaving all voters—minority and nonminority—less protected in a politically polarized America. Surprisingly, the Court has continued to protect representation for minority race voters who live in racially polarized areas. However, minority race voters risk losing that protection, typically provided through majority-minority districts authorized under the Voting Rights Act, if they build cross-racial coalitions with their neighbors. Under the Court’s interpretation of the VRA, cross-racial voting coalitions may be less protected than local majorities comprised of a single race of voters. The loss of such protection could leave their …

Identifying Goalkeeper Movement Timing From Single-Camera Broadcast Footage Through Pose Estimation: A Pilot Study, Reddy Chethan, Woohyoung Jeon

Health & Kinesiology Faculty Publications and Presentations

Featured Application: This research describes a methodology for identifying the moment when a goalkeeper initiates their save attempt in the frontal plane, providing a way to benchmark the timing component of a save attempt. This study explores how open-source pose estimation can be utilized to identify goalkeeper dive initiation during soccer penalty kicks. The purpose of this study is to provide an accessible, low-cost heuristic methodology for identifying goalkeeper dive initiation. This study uses single-camera broadcast footage (1080 p resolution, 50 frames per second) of all 41 penalty shootout kicks attempted during the 2022 FIFA Men’s World Cup. We isolated …

Balloon Borne Gps-Enabled Radiosondes That Enable Simultaneous Multi-Point Atmospheric Sensing With A Single Ground Station, Peter A. Ribbens

Doctoral Dissertations and Master's Theses

Radiosondes are balloon borne atmospheric instruments that are a critical tool for understanding dynamics in the lower layers of the atmosphere. The low-cost radiosondes developed in the Space and Atmospheric Instrumentation Lab have been further developed to improve the system's use as a science-quality atmospheric instrument that is unique in its ability to simultaneously track multiple sondes with a single ground station. Sensors to measure temperature and pressure were added to improve measurements of the atmospheric state. A printed circuit board shield and 3D-printed shell were designed to make mass manufacturing possible. A thermistor-based temperature sensor was developed and tested …

Optimization Of A Plate Beam System For Energy Harvesting Using A Piezoelectric Material, Jose Manuel Almendros Espantaleon

Doctoral Dissertations and Master's Theses

With a continuously growing demand for power, driven by the need to reduce our environmental footprint, this research provides an examination of the potential of energy harvesting with smart materials technology and its practical applications. The energy harvesting system considered here works on generating energy through vibrations of a piezoelectric material beam which will undergo sustained vibrations due to flow of air over its surface. It is assumed that sustained limit cycle oscillations of this system will occur at the flutter velocity. This research creates an optimization framework to obtain the best values of parameters that will result in the …

Persistent Behavior In Solar Energetic Particle Time Series, N V. Sarlis, G Livadiotis, D J. Mccomas, M E. Cuesta, L Y. Khoo, C M S Cohen, D G. Mitchell, Nathan A. Schwadron

Faculty Publications

We investigate the long-term persistence of solar energetic particle (SEP) time series by means of four different methods: Hurst rescaled range R/S analysis, detrended fluctuation analysis, centered moving average analysis, and the fluctuation of natural time under the time reversal method. For these analyses, we use data sets from the Integrated Science Investigation of the Sun instrument suite on board NASA's Parker Solar Probe. Background systematic noise is modeled using cross-correlation analysis between different SEP energy channels and subtracted from the original data. The use of these four methods for deriving the time-series persistence allows us to (i) differentiate between …

Computational Models As Tools For Supporting Responsive Teaching, Hillary Swanson, Luettamae Lawrence, Jared Arnell, Bonni Jones, Bruce Sherin, Uri Wilensky

Instructional Technology and Learning Sciences Faculty Publications

It is widely agreed that science instruction should help students build new knowledge on the foundation of their prior knowledge. Responsive teaching refers to a family of teaching strategies that pursue and build on student ideas. We introduce a particular approach to responsive teaching and examine how it can be supported by the use of computational models. We analyze an 8^th grade science teacher's facilitation of a class discussion near the end of a lesson on sound. We present a moment-by-moment characterization of her responsive teaching moves, highlighting the ways she used a computational model to help students articulate …

Multisensory System For Probing Scattering Media, Muralidhar Madabhushi Balaji

Electrical Engineering Theses and Dissertations

There are numerous problems in the physical sciences wherein the scattering of light fundamentally limits our ability to perceive and reason about objects within the visual field. Examples include navigation in foggy weather, detecting hidden contraband/explosives, detecting diseased regions in agricultural produce, and detecting tumors within tissue. In all these scenarios, the scrambling of light paths due to scattering reduces the ability to locate embedded objects and identify their spatial or spectral features.

Existing approaches address the challenge by augmenting optical sensing modalities with complementary techniques that do not rely on optical phenomenology, such as Magnetic Resonance Imaging (MRI) or …

Cte Can Be For Me: Middle School Counselors’ Perception Of Their Knowledge And Abilities To Guide Students In Career And Technical Education In The State Of Texas, Justin W. Hooten, Ronald S. Rhone, Lesley F. Leach, Juanita M. Reyes

Journal of Educational Leadership in Action

A renewed emphasis on career and technical education has guided the transformation of high school education to support alternatives to college achievement. Research shows that career identity development begins in middle school or earlier, though the literature is scarce when discussing career guidance at the middle school level. Through phenomenological interviews, this research attempted to understand the processes and perceptions of middle school counselors when discussing career and technology education with their students. This study revealed recommendations for district officials and those in academia to assist in creating more robust career development programs at the middle school level.

Unveiling The Socioeconomic Impact Of The Covid-19 Pandemic On Academic Staff: A Qualitative Analysis Of Financial Perspectives And Job Satisfaction, Saheed Oluwaseun Lawal, Habibat Bolanle Abdulkareem, Omoniyi Adeyemi Rasaq, Tajudeen Ade Jamiu

Journal of Educational Leadership in Action

The study investigated how the Covid-19 pandemic affected lecturers' views on income and satisfaction in private Nigerian universities in Kwara State. It aimed to understand this impact as an opportunity for growth and resilience in the education system. Researchers asked four main questions and involved faculty members from various universities using purposive and convenient sampling methods. Results showed lecturers were generally satisfied with consistent salary payments and associated benefits, but the pandemic had diverse impacts on private universities: decreased spending, staff layoffs, reduced fee payments, and lower student enrollment. To enhance lecturer satisfaction, the study recommended exploring alternative income sources, …

Preparing Teachers For The Rise Of Challenging Behaviors, Abbie Chesling

Master's Theses & Capstone Projects

Previous research indicates the increase of challenging behaviors observed and how those behaviors impact the classroom. Findings from the research show the lifelong effects of adverse childhood experiences, trauma manifestations, and educational impacts. Other studies acknowledged educators and their experiences with negative behaviors in the classroom. Those same studies recognized a lack of teacher readiness to manage challenging behaviors in the classroom. A school improvement plan was designed to provide all school staff with targeted professional development to help mitigate challenging behaviors and the lasting impact in the school setting.

Effective Classroom Instruction For Ell Students, Kyle Johnson

Master's Theses & Capstone Projects

Research shows that English Language Learners (ELL) consistently perform worse than their peers on standardized exams. Studies have also shown that teachers are not prepared to teach English language learners effectively. This school improvement plan was created with the goal of improving the performance of struggling students. Through increasing teacher efficacy, students will succeed more. This plan includes a professional development strategy, opportunities for peer learning, and coaching for teachers.

Teaching Practices To Prevent And Support Challenging Behaviors In Early Childhood Classrooms, Abigail Koster

Master's Theses & Capstone Projects

search is finding that challenging behaviors are occurring in classrooms more and more. Challenging behaviors are one of the main reasons that teachers are leaving the profession along with large workloads, and lack of administration and community support. Research shows that teachers need to have a strong classroom management plan and high consistence expectations to diminish challenging behaviors from occurring in the classroom. With research in mind, a school improvement plan was created to provide professional development for teachers in the fall to support them in creating strong classroom management plans for the following school year. Teachers will using the …

Research And Benefits Of The Outdoor Learning Lab: A School Improvement Project, Crystal A. Berkenes

Master's Theses & Capstone Projects

This school improvement plan (SIP) is a comprehensive review of research, action plan and steps to provide evidence-based strategies for implementing an effective Outdoor Learning Lab (OLL) at North High School (NHS). The literature review will detail foundational research, which has demonstrated students’ academic and social-emotional gains in a science-based outdoor learning or garden-based education setting. The goal is to increase student conscientiousness in the self-contained earth science classroom during the 2024-2025 school year.

Implementing Pbis With Fidelity, Emily Distler

Master's Theses & Capstone Projects

Positive Behavior Interventions and Supports is a data-driven framework aimed at improving student behavior, school climate and academic performance, but its successful implementation requires staff buy-in and consistent application despite its potential. This school improvement plan aims to implement PBIS with fidelity, address student behavior and staff buy-in barriers and ensure consistent applications for a positive school climate and improved student outcomes. The implementation strategy involves staff training, continuous professional development and regular data collection and analysis. Training will focus on PBIS principles, emphasizing its benefits for students and the school environment. Continuous professional development will incorporate feedback and adapt …

Students Speak: A Qualitative Examination Of The Intersection Of Identity And Sexual Violence In A University Setting, Danika M. Charles

Theses and Dissertations

Sexual violence remains a public health concern in the United States. Much of the research has focused on gender-binary individuals, despite the heightened vulnerability of Black, transgender, and nonbinary (BTN) individuals due to societal stigma and discrimination. Campus climate surveys have been recommended by the Obama Administration to address sexual violence, though they often underrepresent BTN students, failing to capture their unique experiences. This study aims to bridge this gap by focusing on the intersection of gender and racial identities, using an intersectional stigma framework to explore the prevalence and impact of sexual violence on BTN students and advocate for …

Online Teaching And Learning At Chinese Universities During Covid-19: Insiders’ Perspectives, Youliang Zhang, Yidan Zhu, Tongjie Chen, Tongfei Ma

Journal of Global Education and Research

During attempts to prevent and control the COVID-19 pandemic in China, higher education programs shifted their traditional educational models to online models. This paper aimed to explore how Chinese universities organized online teaching and learning during the pandemic. It investigated the factors affecting the implementation of online teaching and provided policy recommendations for improving the quality of education in the post-pandemic period. The primary data for this study came from in-depth interviews with nine students and five teaching and administrative staff at eight major universities in mainland China. Literature was obtained in both English and Chinese from January 2020 to …

Cognitive Technologies, Tom Davenport

Asian Management Insights

AI and the revolution of work.

Professor Tom Davenport, the President’s Distinguished Professor of Information Technology and Management at Babson College, speaks about how companies can integrate generative Artificial Intelligence (GenAI) into their operations while ensuring workforce adaptation and skills development.

Development Of An Algorithm To Identify And Calculate The Amount Of File Slack On An Image Of A Given Drive, Nicholas Flynn

Honors Theses

As society increasingly relies on technology, the rates of cyber crime have been increasing at exponential rates. Cyber criminals are also discovering new ways to hide evidence of their crimes. This study develops a forensic analysis algorithm to evaluate the amount of file slack on an image of a drive. Slack space, leftover drive space on a disk sector after a file has been written, can be exploited to hide data. The algorithm aims to detect and calculate this slack space to help direct forensic investigations. The algorithm was evaluated on a population dataset of 100,000 files with random data …

Poly(Thioether) Thermosets With Gated Photodegradation, Surabhi Jha

Dissertations

Photodegradable polymer networks are attractive due to the precise spatiotemporal control and large-area applicability of light. Chemical linkages that enable these polymer networks to be photo-responsive, also hinder their applicability in ambient light. Photostable and photodegradable networks have recently been reported to overcome this challenge by combining other stimuli with light for degradation. We report the design of a network that responds to a simultaneous, dual stimulus for photodegradation. We design poly(thioether acetal) networks with benzylidene acetal moieties that are known to undergo β-scission in the presence of free thiols. By blocking these free thiols with a thermally labile protecting …

Crosssections, Summer 2024, University Of Northern Iowa. Department Of Physics.

CrossSections

Contents:

A Message from the Department Head, Dr. Paul Shand --- 01
New Secretary --- 02
Homecoming Picnic --- 03
Visits to the Department --- 04
Awards Banquet --- 05
Begeman Lecture --- 05
Physics Competition --- 06
Holiday Colloquium --- 06
Tim Kidd Lecture --- 07
Faculty Profile - Larry Escalada --- 07
Student Profile - Ashley Harrington --- 08
Student Research - Haley Harms --- 10
Physics Scholarships and Awards --- 12
Teacher Education Transformation --- 13
Alumni Profile - Justin Bohnet --- 14
Alumni News - Corey Cooling --- 15
Alumni News - John Bolte --- 16 …

Efficient Machine Learning On Scientific Data Using Bayesian Optimization, Rui Xin

Theses and Dissertations

Deep Learning is pivotal in advancing data analysis across various scientific fields, from genomics to materials discovery. Despite its widespread use, efficiently learning from limited data and operating under resource constraints remains a significant challenge, often limiting its full potential in environments where data is scarce or resources are restricted. This dissertation explores Active Learning and Automated Machine Learning (AutoML) powered by Bayesian Optimization to enhance the efficiency of machine learning across multiple disciplines. It focuses on algorithm optimization and data management through three interconnected studies. In the first study, we investigate how data management technique - active learning helps …

Offshore Detachment Of The Winyah Bay Plume Through Ekman Dynamics Under Upwelling Conditions, Isabella Moore

Theses and Dissertations

ABSTRACT River plumes play a crucial role in coastal ecosystems by influencing land-ocean interactions, primary production, water quality, and ocean circulation. This study presents observations of a buoyant river plume off Winyah Bay, South Carolina (USA), conducted in 2020 and 2021. Observations comprised CTD casts and shipborne ADCP profiles as well as near surface flow measurements from a floating platform and microstructure profiles in uprising mode. This research focuses on the offshore transport of the buoyant water through Ekman dynamics under upwelling-favorable conditions. Under varying wind forcing and stratification scenarios, the Winyah Bay plume either remains near the coast or …

Multi-Scale Deep Representation Learning In Synthetic Biology, Xiaoyi Liu

Theses and Dissertations

Synthetic biology advances and combines the expertise of engineers and biologists, bridging the gap between engineering and natural life. Synthetic biology has been generally categorized into two broad branches by developing new biological components, networks, and systems to reprogram organisms. The first branch involves using synthetic molecules to mimic natural biological functions. The second branch focuses on assembling natural biological components in novel ways, aiming to produce systems with unique, practical functions. Thus, the de novo engineering of biological modules and synthetic pathways is used in related practical bioengineering applications, such as drug-targeting strategies and microbial product manufacturing. Therefore, synthetic …