Digital Commons Network^™

Soy Isoflavones Decrease Fibroglandular Breast Tissue Measured By Magnetic Resonance Imaging In Premenopausal Women: A 2-Year Randomized Double-Blind Placebo Controlled Clinical Trial, Lee-Jane W Lu, Nai-Wei Chen, Donald G Brunder, Fatima Nayeem, Manubai Nagamani, Thomas K Nishino, Karl E Anderson, Tuenchit Khamapirad

Faculty, Staff and Student Publications

BACKGROUND & AIMS: Populations consuming soy have reduced risk for breast cancer, but the mechanisms are unclear. We tested the hypothesis that soy isoflavones, which have ovarian hormone-like effects, can reduce fibroglandular breast tissue (FGBT, 'breast density'), a strong risk marker for breast cancer.

METHODS: Premenopausal women (age 30-42 years) were randomized to consume isoflavones (136.6 mg as aglycone equivalents, n = 99) or placebo (n = 98) for 5 days per week up to 2 years, and changes in breast composition measured by magnetic resonance imaging at baseline and yearly intervals were compared after square root transformation using linear …

Covid Aftermath: The Impact Of The Pandemic On Florida's Public School Students, Hannah Blount, Michael Figg, Autumn Finke, Christina Gilbert, Mackenzie O'Connell, Nyasia Minaya, Kylee Neeranjan, Alyssa Rodriguez

Gator Team Child Juvenile Law Clinic

The goal of this White Paper is to provide an overview of the current and future impacts the COVID-19 pandemic (“COVID”) has left on Florida’s public school education system. Additionally, this White Paper review shows how public education institutions are still working to address the loss of instructional time and long-term consequences due to pandemic-related school disruptions.

Teaching The Relationship Between Multiplication And Division Through Differentiated Instructional Strategies, Teagan Vaughan

Theses/Capstones/Creative Projects

This capstone project reports the differentiated instructional strategies that were integrated throughout a math unit. The capstone will report the effectiveness of two instructional strategies that were integrated into a math unit that focused on students’ understanding of the relationship between multiplication and division. The math unit had 12 lessons taught over three weeks between the pre-and post-assessment. I will report how the strategies worked and the effect the strategies had on students learning. I collected and analyzed the pre/post-test data and found that nonlinguistic representations and multi-level questioning are effective instructional strategies for increasing student learning.

Keywords: instructional …

A Systematic Literature Review Of Anti-Discrimination Design Strategies In The Digital Sharing Economy, Miroslav Tushev, Fahimeh Ebrahimi, Anas Mahmoud

Faculty Publications

Applications of the Digital Sharing Economy (DSE), such as Uber, Airbnb, and TaskRabbit, have become a main facilitator of economic growth and shared prosperity in modern-day societies. However, recent research has revealed that the participation of minority groups in DSE activities is often hindered by different forms of bias and discrimination. Evidence of such behavior has been documented across almost all domains of DSE, including ridesharing, lodging, and freelancing. However, little is known about the underlying design decisions of DSE platforms which allow certain demographics of the market to gain unfair advantage over others. To bridge this knowledge gap, in …

The Impact Of Grade Inflation On Teachers’ Evaluation: A Quantitative Study Conducted In The Context Of Five Lebanese Universities, Bassem E. Maamari, Hiba S. Naccache

Journal of Global Education and Research

Asking students to evaluate teaching faculty by every ending semester in modern education is an established trend. In the higher education circles, it is validated based on a large body of research showing a relationship between these evaluations and students’ achievement. The arising problem is whether this relation is positively associated or not, and the presence of a growing debate pertaining to the many factors influencing this correlation. Most of the cited research shows a link between the attitude of students and their achievement. This research studies the effect of students’ grade point average (GPA), together with the type of …

Forming Coalitions And Sharing Payoffs In N-Person Normal Form Games, Emma Owusu Dwobeng

Industrial, Manufacturing, and Systems Engineering Dissertations - Archive

For a given n-person normal form game, we form all possible sets of mutually exclusive and collectively exhaustive coalitions of the n players. For each set of coalitions, we define a coalitional semi-cooperative game as one in which these coalitions are taken as the players of this new game, each coalition tries to maximize the sum of its individual players’ payoffs, and the players within a coalition cooperate to do so. For any coalitional semi-cooperative game, the goal of the original n players is to improve their individual payoffs obtained in a Greedy Scalar Equilibrium (GSE) of the original game, …

Fluid-Structure Interaction Modelling Of Neighboring Tubes With Primary Cilium Analysis, Nerion Zekaj, Shawn D. Ryan, Andrew Resnick

Mathematics and Statistics Faculty Publications

We have developed a numerical model of two osculating cylindrical elastic renal tubules to investigate the impact of neighboring tubules on the stress applied to a primary cilium. We hypothesize that the stress at the base of the primary cilium will depend on the mechanical coupling of the tubules due to local constrained motion of the tubule wall. The objective of this work was to determine the in-plane stresses of a primary cilium attached to the inner wall of one renal tubule subject to the applied pulsatile flow, with a neighboring renal tube filled with stagnant fluid in close proximity …

2022-12-01 Agenda Book, Morehead State University. Board Of Regents.

Morehead State Board of Regents Agenda Books and Meeting Minutes

Agenda booklet for the Board of Regents meeting of December 1, 2022 which includes the meeting minutes of the meeting held on August 4, 2022.

Improving Efficiency Of Rational Krylov Subspace Methods, Shengjie Xu

All Dissertations

This thesis studies two classes of numerical linear algebra problems, approximating the product of a function of a matrix with a vector, and solving the linear eigenvalue problem $Av=\lambda Bv$ for a small number of eigenvalues. These problems are solved by rational Krylov subspace methods (RKSM). We present several improvements in two directions: pole selection and applying inexact methods.

In Chapter 3, a flexible extended Krylov subspace method ($\mathcal{F}$-EKSM) is considered for numerical approximation of the action of a matrix function $f(A)$ to a vector $b$, where the function $f$ is of Markov type. $\mathcal{F}$-EKSM has the same framework as …

The Impact Of Teachers' Social Emotional Competency And Reading Pedagogy On The Emergent Literacy Of Children In Early Childhood Classrooms, Scholastica Turner-Moore

Dissertations (2016-Present)

According to the study, teachers' beliefs significantly shape the instructional practices they choose to employ in the classroom. The study's overarching goal was to ascertain whether children’s emergent literacy development (ages 3 and 4) is positively influenced by their early childhood teachers' social-emotional instruction, reading pedagogy, phonological awareness activities, and educational qualifications. This study focuses on early childhood centers across the southeastern jurisdiction of the United States. The researcher selected participants from a comprehensive list of over 2,300 regional non-governmental financed early childhood programs that were publicly available through the Texas Department of Family and Protective Services (DFPS), a state-managed …

Wildfire Spread Prediction Using Attention Mechanisms In U-Net, Kamen Haresh Shah, Kamen Haresh Shah

Master's Theses

An investigation into using attention mechanisms for better feature extraction in wildfire spread prediction models. This research examines the U-net architecture to achieve image segmentation, a process that partitions images by classifying pixels into one of two classes. The deep learning models explored in this research integrate modern deep learning architectures, and techniques used to optimize them. The models are trained on 12 distinct observational variables derived from the Google Earth Engine catalog. Evaluation is conducted with accuracy, Dice coefficient score, ROC-AUC, and F1-score. This research concludes that when augmenting U-net with attention mechanisms, the attention component improves feature suppression …

Ectotherm Thermoregulation At Fine Scales: Novel Methods Reveal A Link Between The Spatial Distribution Of Temperature And Habitat Quality, Ian Axsom

Master's Theses

Investigating ecological questions at the scale of individual organisms is necessary to understand and predict the biological consequences of environmental conditions. For small organisms this can be challenging because we need tools with the appropriate accuracy and resolution to record and quantify their ecological interactions. Unfortunately, many of our existing tools are only appropriate for medium to large organisms or those that are wide ranging, inhibiting our ability to investigate the ecology of small organisms at fine scales.

In Chapter 1, I tested a novel workflow for recording animal movements at very fine spatial and temporal scales. The workflow combined …

Simultaneous Relationship Between Financial Inclusion, Economic Growth, And Income Inequality In Sulawesi Island, 2011-2019, Adella Siti Nursaliyawati, Siskarossa Ika Oktora

Economics and Finance in Indonesia

Sulawesi Island has fairly high economic growth but is not followed by a significant decrease in income inequality. Therefore, a new strategy is needed to overcome these problems, one of them by increasing the role of the financial sector through financial inclusion. This study aims to analyze the relationship between financial inclusion, economic growth, and income inequality, as well as the factors influencing them in Sulawesi Island from 2011 to 2019. The analytical method used is the simultaneous equation model with panel data using the EC2SLS model. The results show that there is a simultaneous relationship between financial inclusion and …

Passion-Driven Statistics: A Course-Based Undergraduate Research Experience (Cure), Naomi J. Spence, Rachel Anderson, Sherryse Corrow, Susan A. Dumais, Lisa Dierker

The Mathematics Enthusiast

This paper describes the use of scientific practices in the Passion-Driven Statistics CURE and presents the results of surveys from the implementation of this CURE at three different colleges. Overall, students experienced positive changes in thinking and working like a scientist, personal gains related to research, and gains in research skills, attitudes and behaviors. The Passion-Driven Statistics CURE aims to equip the future STEM workforce with the data analysis skills and reasoning needed across industries.

Graph Theoretical Modeling Of Dna As A Vehicle For A Course-Based Undergraduate Research Experience, Amanda Harsy

The Mathematics Enthusiast

This paper outlines a mathematics course centered around the interdisciplinary topic of modeling self-assembling DNA which was used as a venue for a mathematics course-based undergraduate research experience (CURE). The structure and logistics of designing and teaching such a course in addition to suggestions and student feedback from the course are also included.

Applied Mathematics Laboratory: A Course-Based Research Internship, Mathew Gluck, Alexei Kolesnikov

The Mathematics Enthusiast

The paper describes the Applied Mathematics Laboratory (AML), a course-based model of undergraduate research engagement in applied mathematics at Towson University. We provide historical background of similar programs at other institutions in the US; describe the implementation and the logic model of the AML; include an example of a recent project; and describe the place of the AML in the context of other course-based student research experiences in STEM.

Experimental Mathematics – A Course-Based Research Experience In Machine Learning, Mathew Gluck

The Mathematics Enthusiast

Efforts to expand the science, technology, engineering and mathematics (STEM) work- force have been topics of United States policy action for more than 50 years (Hira 2010). Unfortunately, among U.S. undergraduate curricula, STEM has one of the highest attrition rates (Tinto 1993) with less than half of students in the U.S. that enroll in an undergraduate STEM program ultimately receiving a degree in a STEM field (Hayes 2009). Naturally, the high rate of attrition is a topic of persisting concern. Many programs have been designed and implemented to model best practices in retaining students in STEM disciplines. One retention strategy …

A Probabilistic Formalisation Of Contextual Bias: From Forensic Analysis To Systemic Bias In The Criminal Justice System, M. Cuellar, J. Mauro, Amanda Luby

Mathematics & Statistics Faculty Works

Researchers have found evidence of contextual bias in forensic science, but the discussion of contextual bias is currently qualitative. We formalise existing empirical research and show quantitatively how biases can be propagated throughout the legal system, all the way up to the final determination of guilt in a criminal trial. We provide a probabilistic framework for describing how information is updated in a forensic analysis setting by using the ratio form of Bayes’ rule. We analyse results from empirical studies using this framework and employ simulations to demonstrate how bias can be compounded where experiments do not exist. We find …

Nigeria’S Budding Digital Economy: Coping With Disruptive Technology, Olugbenga Agboola

Economic and Financial Review

For a thriving and inclusive digital economy, African countries such as Nigeria need to build the critical foundations of the digital economy (World Bank Group, 2019). These foundations are interdependent and require public and private sector solutions.

Digitalisation And Financial System Stability: What Role For Macroprudential Policies?, Hassan Bello

Economic and Financial Review

The recent spate of financial digitalisation has been revolutionary, leading to significant changes in the structure of the financial system, its operational paradigm, users’ perception and experiences, and the regulatory landscape. These developments have been driven by explosive growth of technological advancements in fintech such as big data analytics, distributed ledger technology, and artificial intelligence, among others. Digitalisation of the financial system not only offers numerous benefits but also poses significant risks to the financial system, its stakeholders, and financial stability. This paper documents these issues and, in addition provides conceptual clarifications on financial digitalisation, and highlights relevant macroprudential policy …

North Coast Otters Public Arts Initiative: Commemorative Auction Catalog, J. M. Black

Archives & Reprint Series (imprint)

In 1999, a citizen science program for submitting river otter observations was created through the Humboldt State University Wildlife department. In 2017, Jeff and Gilly Black from the HSU Wildlife department were inspired by the public arts initiative by The Art of Fundraising project of England's Dartmoor National Park. In 2019, a special partnership with Ink People Center for the Arts, North Coast Open Studios, HSU’s Art Department, Crescent City Art, and the Trinity County Arts Council led to local North Coast artists decorating more than 100 3-foot-tall otter sculptures. The sculptures were displayed at shops, galleries, schools, and other …

Mgrre_Thinsections_Mgrre-129_5, Mgrre

Thin Sections

No abstract provided.

Mgrre_Thinsections_Mgrre-129_7, Mgrre

Thin Sections

No abstract provided.

Appraising Rufaidah Al-Aslamia, First Muslim Nurse And Pioneer Of Islamic Nursing: Contributions And Legacy, Mustafa M. Bodrick, Mutlaq B. Almutairi, Fatma S. Alsolamy, Hisham M. Alfayyadh

Jurnal Keperawatan Indonesia

Global advancement in nursing is attributed mainly to western pioneers with negligible recognition of Rufaidah Al- Aslamia, who was the first Muslim nurse, and pioneer in Islamic nursing more than 1,400 years ago in Madinah (Medina, Saudi Arabia). She responded to the need for the provision of organized nursing care to injured soldiers in the Islamic battles during the time of Prophet Mohammed (Peace & Blessings Upon Him). The paucity of focus on Rufaidah Al-Aslamia triggered this scientific study to appraise her contributions and legacy as the pioneer of Islamic nursing. A qualitative, historical research inquiry was conducted using a …

The Book Of Revelation In Nafe (Kwamera): William Watt’S Translations And Loanwords, Lamont Lindstrom

Pacific Studies

William Watt, Presbyterian missionary on Tanna (1869–1910), published a Nafe (Kwamera) language translation of the KJV New Testament in 1890. He had earlier produced Kwamera versions of the Gospels as soon as linguistic skills permitted, but the full New Testament translation was not completed until the late 1880s and printed in Glasgow during a mission leave (1889–1890). Watt worked with island pundits, and he relied on his wife Agnes’s linguistic expertise. Revelation’s allusions and obscurities presented significant difficulties of translation. I offer a close reading of Watt’s translated book of Revelation—Nari Kenamsasani (sasani means “display”)—tracking his grammatical choices, his …

Vol. 45 No. 2 (2022): Pacific Studies Full Issue, The Jonathan Nāpela Center For Hawaiian And Pacific Islands Studies

Pacific Studies

Pacific Studies is published two times a year by The Jonathan Nāpela Center for Hawaiian and Pacific Studies, Brigham Young University Hawai‘i #1979, 55–220 Kulanui Street, Lāʻie, Hawai‘i 96762, but responsibility for opinions expressed in the articles rests with the authors alone. Subscription rate is US$40.00 yearly, payable to The Jonathan Nāpela Center for Hawaiian and Pacific Studies. The Jonathan Nāpela Center for Hawaiian and Pacific Studies (formerly The Pacific Institute) is an organization funded by Brigham Young University Hawai‘i. The Center assists the University in meeting its cultural and educational goals by undertaking a program of teaching, research, and …

Are We Building Back Better?, Fabian M. Dayrit

Chemistry Faculty Publications

No abstract provided.

Learnfca: A Fuzzy Fca And Probability Based Approach For Learning And Classification, Suraj Ketan Samal

School of Computing: Dissertations, Theses, and Student Research

Formal concept analysis(FCA) is a mathematical theory based on lattice and order theory used for data analysis and knowledge representation. Over the past several years, many of its extensions have been proposed and applied in several domains including data mining, machine learning, knowledge management, semantic web, software development, chemistry ,biology, medicine, data analytics, biology and ontology engineering.

This thesis reviews the state-of-the-art of theory of Formal Concept Analysis(FCA) and its various extensions that have been developed and well-studied in the past several years. We discuss their historical roots, reproduce the original definitions and derivations with illustrative examples. Further, we provide …

Sequence-Based Bioinformatics Approaches To Predict Virus–Host Relationships In Archaea And Eukaryotes, Yingshan Li

School of Computing: Dissertations, Theses, and Student Research

Viral metagenomics is independent of lab culturing and capable of investigating viromes of virtually any given environmental niches. While numerous sequences of viral genomes have been assembled from metagenomic studies over the past years, the natural hosts for the majority of these viral contigs have not been determined. Different computational approaches have been developed to predict hosts of bacteria phages. Nevertheless, little progress has been made in the virus-host prediction, especially for viruses that infect eukaryotes and archaea. In this study, by analyzing all documented viruses with known eukaryotic and archaeal hosts, we assessed the predictive power of four computational …

Attention In The Faithful Self-Explanatory Nlp Models, Mostafa Rafaiejokandan

School of Computing: Dissertations, Theses, and Student Research

Deep neural networks (DNNs) can perform impressively in many natural language processing (NLP) tasks, but their black-box nature makes them inherently challenging to explain or interpret. Self-Explanatory models are a new approach to overcoming this challenge, generating explanations in human-readable languages besides task objectives like answering questions. The main focus of this thesis is the explainability of NLP tasks, as well as how attention methods can help enhance performance. Three different attention modules are proposed, SimpleAttention, CrossSelfAttention, and CrossModality. It also includes a new dataset transformation method called Two-Documents that converts every dataset into two separate documents required by the …