Digital Commons Network^™

Heavy Metals Implications To Sediment Microbiome And Coral Response To Arsenic Dosing, Dimitrios G. Giarikos, Amy Hirons, Jose V. Lopez, Abigail Renegar, Jason Gershman

SECLER Data

No abstract provided.

Lipoproteins And Total Cholesterol In Adults With Normal And Elevated Cholesterolemia In A Polyclinic In Lima-Peru 2022: A Correlational Study, Alberto Guevara Tirado

Revista de la Facultad de Medicina Humana

Objective: To evaluate the degree of correlation between high-density, low-density, and very low-density lipoproteins and total cholesterol in patients with normal and high cholesterolemia. Methodology: Observational, analytical and cross-sectional study carried out from January to September 2022 with 207 patients over 18 years of age divided into a group with normal cholesterol and another with hypercholesterolemia. The Spearman correlation test was performed. Results: In normocholesterolemic subjects there was a low and negative correlation between high-density lipoproteins and low-density lipoproteins (-0.263) as well as between high-density lipoproteins and very low-density lipoproteins (-0.220). In hypercholesterolemic patients there was a low and positive …

Assessing Extant Methods For Generating G-Optimal Designs And A Novel Methodology To Compute The G-Score Of A Candidate Design, Hyrum John Hansen

All Graduate Theses and Dissertations, Fall 2023 to Present

Experimental designs are used by scientists to allocate treatments such that statistical inference is appropriate. Most traditional experimental designs have mathematical properties that make them desirable under certain conditions. Optimal experimental designs are those where the researcher can exercise total control over the treatment levels to maximize a chosen mathematical property. As is common in literature, the experimental design is represented as a matrix where each column represents a variable, and each row represents a trial. We define a function that takes as input the design matrix and outputs its score. We then algorithmically adjust each entry until a design …

A Survey Of The Murray State University Csis Department Of Student And Instructor Attitudes In Relation To Earlier Introduction Of Version Control Systems, Gavin Johnson

Honors College Theses

Over the previous 20 years, the software development industry has overseen an evolution in application of Version Control Systems (VCS) from a Centralized Version Control System (CVCS) format to a Decentralized Version Control Format (DVCS). Examples of the former include Perforce and Subversion whilst the latter of the two include Github and BitBucket. As DVCS models allow software contributors to maintain their respective local repositories of relevant code bases, developers are able to work offline and maintain their work with relative fault tolerance. This contrasts to CVCS models, which require software contributors to be connected online to a main server. …

"Who Wrote The Epistle, God Only Knows": A Statistical Authorial Analysis Of Hebrews In Comparison With Pauline And Lukan Literature, Benjamin J. Erickson

Senior Honors Theses

The authorship of Hebrews has been a point of contention for scholars for the past two millennia. While the epistle is traditionally attributed to Paul, many scholars assert that it carries thematic, structural, and stylistic differences from the remainder of his extant epistles; therefore, many other possible authors have been proposed. Of these, only Luke has other New Testament writings. Therefore, this project conducts a statistical comparison of Hebrews to the Pauline and Lukan corpora using stylometric authorial analysis methods. This analysis demonstrates that Hebrews is stylistically closer to Lukan literature than Pauline (but not to a significant degree), and …

Udl Simulation Game For Statistics, Julie Hoffmann

UDL @ XU: Universal Design for Learning

Principles of Universal Design for Learning (UDL) were implemented to a quantitave statistics course for buiness students via a simulation game. Game logins were purchased through LSU at https://moodle.beta-versity.com.

The simulation game provided each group with a dataset to work on two semester long projects related to descriptive statistics and inferential statistics. The details of the projects are included. Through the process students were exposed to the "why", the "what" and the "how" of learing.

2023-2024 Women's Basketball Statistics, Cedarville University

Women's Basketball Statistics

No abstract provided.

Setting The Record Straight: Why The Nba Needs To Officially Adopt Aba Statistics, Roy E. Brownell Ii

Arkansas Law Review

In the case of the legal settlement between the (merger of the NBA and ABA, one of those legacies is that the NBA chooses not to officially recognize the ABA’s statistics. By arguing in favor of the NBA officially adopting ABA statistics, this Article addresses a question that lies at the intersection of law, race, sports, history, and corporate policy. Part II discusses the 1976 legal settlement between the two leagues. Part III, in turn, analyzes concerns over morality and why they weigh heavily in support of the NBA acknowledging ABA records. Part IV offers an evaluation of historical factors …

Identifying Rural Health Clinics Within The Transformed Medicaid Statistical Information System (T-Msis) Analytic Files, Katherine Ahrens Mph, Phd, Zachariah Croll, Yvonne Jonk Phd, John Gale Ms, Heidi O'Connor Ms

Rural Health Clinics

Researchers at the Maine Rural Health Research Center describe a methodology for identifying Rural Health Clinic encounters within the Medicaid claims data using Transformed Medicaid Statistical Information System (T-MSIS) Analytic Files.

Background: There is limited information on the extent to which Rural Health Clinics (RHC) provide pediatric and pregnancy-related services to individuals enrolled in state Medicaid/CHIP programs. In part this is because methods to identify RHC encounters within Medicaid claims data are outdated.

Methods: We used a 100% sample of the 2018 Medicaid Demographic and Eligibility and Other Services Transformed Medicaid Statistical Information System (T-MSIS) Analytic Files for 20 states …

The Employment Situation Of Veterans: January 2024, Institute For Veterans And Military Families At Syracuse University

Institute for Veterans and Military Families

Veteran employment trends and statistics among various demographics during January 2024.

Hockey Card Statistics Are Stagnant And Stale, Egan J. Chernoff

Journal of Humanistic Mathematics

The purchase of a coffee at a Canadian institution, Tim Hortons, turned into an informal investigation into hockey card statistics. Turns out, hockey card statistics are stagnant and stale. This was disappointing to see because the game of hockey has changed, the statistics used to keep track of the game have changed. Even the cards have changed. Well, not the back of the cards, which do not well enough paint a statistical picture of the hockey player photographed on the front of the card.

The Limits Of Data Science, David E. Drew

Journal of Humanistic Mathematics

Data science can contribute valuable predictions in diverse fields. But I write to express some concerns and red flags. I suggest that data science is being oversold. This article contains three questions that I believe data science must address as this new discipline matures. Is data science significantly different from statistics? This is a question that has haunted the field since the term first was introduced. By creating algorithms based on current societal decision rules that may be biased, even bigoted, does data science lock in and exacerbate inequality? Scholars have identified a continuum from data to information to knowledge …

The Cruel And Unusual Punishment Of Prison Rape: Why The Prison Rape Elimination Act Failed And How To Fix It, Savannah G. Plaisted

University of Massachusetts Law Review

Recent studies show the rate of sexual abuse endured in prisons has been steadily increasing. To remedy this issue, the Prison Rape Elimination Act was passed in 2003, however it has had no legitimate impact on the rate of sexual abuse in prisons due to the absence of mandatory rules upon prisons and a private right of action. This note will argue that prison rape is an Eighth Amendment violation but is not punished as one and that the Prison Rape Elimination Act failed to provide Survivors of prison sexual abuse with any legitimate recourse against violators of the law. …

Sw 317 Class Handout, Ashley Rosener

Handouts

This handout highlights resources to find statistical information for class assignments.

Defensive Impact Wins: Developing A New Method To Rate Individual Defense In Nba Games, Dylan J. Stiles

Honors Theses and Capstones

With the analytics revolution in sports in the past 20 years, it seems that everything that can be quantified is. In basketball though, trying to break the game down into a set of numbers comes with a unique problem. While we've come up with a good set of advanced numbers to measure offensive efficiency, defense is fundamentally harder to quantify. The game is played five on five, but it has often been popular or convenient to model defense as a set of five one on one games. As defenses became more complex into the 2010s, this methodology became more insignificant. …

Statistically Principled Deep Learning For Sar Image Segmentation, Cassandra Goldberg

Honors Projects

This project explores novel approaches for Synthetic Aperture Radar (SAR) image segmentation that integrate established statistical properties of SAR into deep learning models. First, Perlin Noise and Generalized Gamma distribution sampling methods were utilized to generate a synthetic dataset that effectively captures the statistical attributes of SAR data. Subsequently, deep learning segmentation architectures were developed that utilize average pooling and 1x1 convolutions to perform statistical moment computations. Finally, supervised and unsupervised disparity-based losses were incorporated into model training. The experimental outcomes yielded promising results: the synthetic dataset effectively trained deep learning models for real SAR data segmentation, the statistically-informed architectures …

The Employment Situation Of Veterans: December 2023, Institute For Veterans And Military Families At Syracuse University

Institute for Veterans and Military Families

Veteran employment trends and statistics among various demographics during December 2023.

What Fishing Tackle Should I Bring Today?: Safety Harbor Resource Collection Tools As Adaptations To Aquatic Environments, Richard J. Davis Iii

Graduate Thesis and Dissertation 2023-2024

This thesis reports on the results of research conducted to determine whether technological adaptations to local environmental conditions can be observed through geospatial and artifact analysis of Safety Harbor collections from the Tampa Bay region of Florida. Past artifact and spatial analysis did not take advantage of modern technological advancements when studying how human-environmental interactions can influence certain adaptations to local conditions. In this project, GIS was used to reconstruct local aquatic environmental conditions of waterways adjacent to Safety Harbor sites. New statistical software programs have also proven themselves useful to archaeologists seeking to conduct hypothesis testing of artifact data. …

Maximum Entropy Species Distribution Modeling For The Spring Ephemeral Herb Bloodroot (Sanguinaria Canadensis) In Eastern North America, Velan Manivannan

Williams Honors College, Honors Research Projects

The spring ephemeral plant Bloodroot (Sanguinaria canadensis) has a widespread native range in North America, spanning much of the eastern United States and Canada. While its current NatureServe conservation status is designated as ‘secure’ (NatureServe, 2023), its status as a spring ephemeral places it at a heightened risk for climate change-induced phenological mismatch with advancing forest canopy closure. Additionally, under continued anthropogenic climate change, Bloodroot may also experience range shifts or contractions as the edges of its present range warm past physiological thresholds. To determine the potential for range shifts and contractions under future warming, I generated a …

Ensemble Classification: An Analysis Of The Random Forest Model, Jarod Korn

Williams Honors College, Honors Research Projects

The random forest model proposed by Dr. Leo Breiman in 2001 is an ensemble machine learning method for classification prediction and regression. In the following paper, we will conduct an analysis on the random forest model with a focus on how the model works, how it is applied in software, and how it performs on a set of data. To fully understand the model, we will introduce the concept of decision trees, give a summary of the CART model, explain in detail how the random forest model operates, discuss how the model is implemented in software, demonstrate the model by …

Forecasting The Outcome Of Nfl Playoff Games: A Regression Analysis, Jack Pierpont Morgan V

UVM Patrick Leahy Honors College Senior Theses

Professional sports are one of the most consumed forms of entertainment in the world today. Professional sporting events are some of the most watched broadcasts worldwide each year. The 2022 FIFA World Cup Final garnered about 1.5 billion views worldwide, almost 20% of our planet’s population (Jones, 2023). The National Football League is the most popular professional sport in the United States. Recent polling data shows that a clear majority of the country, 72% of Americans, self-identify as football fans (“St. Bonaventure”, 2023). The NFL runs from September to February and regularly draws 15-20 million viewers weekly during …

Digitalcommons@Cedarville Statistical Report For December 2023, Cedarville University

DigitalCommons@Cedarville Monthly Reports

No abstract provided.

Interpretable Word-Level Sentiment Analysis With Attention-Based Multiple Instance Classification Models, Chenyu Yang

Statistical Science Theses and Dissertations

In this study, our main objective is to tackle the black-box nature of popular machine learning models in sentiment analysis and enhance model interpretability. We aim to gain more insight into the decision-making process of sentiment analysis models, which is often obscure in those complex models. To achieve this goal, we introduce two word-level sentiment analysis models.

The first model is called the attention-based multiple instance classification (AMIC) model. It combines the transparent model structure of multiple instance classification and the self-attention mechanism in deep learning to incorporate the contextual information from documents. As demonstrated by a wine review dataset …

Differentiation Of Human, Dog, And Cat Hair Fibers Using Dart Tofms And Machine Learning, Laura Ahumada, Erin R. Mcclure-Price, Chad Kwong, Edgard O. Espinoza, John Santerre

SMU Data Science Review

Hair is found in over 90% of crime scenes and has long been analyzed as trace evidence. However, recent reviews of traditional hair fiber analysis techniques, primarily morphological examination, have cast doubt on its reliability. To address these concerns, this study employed machine learning algorithms, specifically Linear Discriminant Analysis (LDA) and Random Forest, on Direct Analysis in Real Time time-of-flight mass spectra collected from human, cat, and dog hair samples. The objective was to develop a chemistry- and statistics-based classification method for unbiased taxonomic identification of hair. The results of the study showed that LDA and Random Forest were highly …

A Prompt Engineering Approach To Creating Automated Commentary For Microsoft Self-Help Documentation Metric Reports Using Chatgpt, Ryan Herrin, Luke Stodgel, Brian Raffety

SMU Data Science Review

Microsoft collects an immense amount of data from the users of their product-self-help documentation. Employees use this data to identify these self-help articles' performance trends and measure their impact on business Key Performance Indicators (KPIs). Microsoft uses various tools like Power BI and Python to analyze this data. The problem is that their analysis and findings are summarized manually. Therefore, this research will improve upon their current analysis methods by applying the latest prompt engineering practices and the power of ChatGPT's large language models (LLMs). Using VBA code, Microsoft Excel, and the ChatGPT API as an Excel add-in, this research …

Gastropod Evolutionary Phylogeny, Priscilla Doran, Neal A. Doran

Proceedings of the International Conference on Creationism

This research seeks to investigate a correlation between the first appearance order date (FAD) and predicted evolutionary phylogeny of gastropods. Using a Spearman Correlation, 17 data sets of gastropods were analyzed, with a no significant correlation found between the first appearance date and predicted evolutionary date for the fossils.

Illinois Masonic Hospital Pamphlet, 1954, Advocate Aurora Health

Historical Documents - Combined

Illinois Masonic Hospital, Chicago, IL: Promotional brochure containing statistics for the year 1954 and seeking donations. Also contains information on which departments are funded through development programs and endowments and a list of the current Board of Trustees.

Illinois Masonic Hospital Pamphlet, 1951, Advocate Aurora Health

Historical Documents - Combined

Illinois Masonic Hospital, Chicago, IL: Promotional brochure detailing the hospital's charitable missions and seeking donations and endowments.

Illinois Masonic Hospital Pamphlet, 1959, Advocate Aurora Health

Historical Documents - Combined

Illinois Masonic Hospital, Chicago, IL: Promotional brochure detailing which programs benefit from endowments and donations. Includes a list of the current Board of Trustees and a map of the hospital complex from this era.

Illinois Masonic Hospital Pamphlet, 1955, Advocate Aurora Health

Historical Documents - Combined

Illinois Masonic Hospital, Chicago, IL: Promotional brochure containing statistics for the year 1955 and information about the departments and mission of the hospital. Included is a current Board of Trustees and directory of administrative staff.