Type II error rate as the number of runs used for each sample is varied. by Alex Stivala (8356257)

Subjects:

Parameter estimates and estimated standard errors from the EE algorithm. by Alex Stivala (8356257)

Subjects:

Network descriptive statistics for the Deezer networks. by Alex Stivala (8356257)

Subjects:

Example ALAAMEE goodness-of-fit output. by Alex Stivala (8356257)

Subjects:

Online Resource 3: Word Cloud Dataset and Code by Jessica Zylla (17692920)

“…This set of files are part of Online Resource 3, which allows readers to implement a Jupyter Notebook Python program to create a word cloud based on survey responses. …”

Illustration of the text transformation process before and after synonym replacement: The process begins with a sample initial text segment (Sample text before synonym replacement’... by Enock Niyonkuru (21246879)

Subjects:

Schematic of the approach: This schematic illustrates the entire workflow of the project. by Enock Niyonkuru (21246879)

Subjects:

Text Transformation Pipeline: An example of the multi-stage text transformation pipeline applied to a sample abstract (PMID: 30609739). by Enock Niyonkuru (21246879)

Subjects:

Comparative analysis of WordNet replacement impact on data distribution. by Enock Niyonkuru (21246879)

Subjects:

Comparison of window size for embedding with Wordnet synonym replacement (WN) and without (PM). While Table 1 compared the effects of different values of using a window size of 10,... by Enock Niyonkuru (21246879)

Subjects:

Non-biomedical word replacement algorithm: This algorithm outlines the process for replacing non-biomedical words in a corpus using WordNet. by Enock Niyonkuru (21246879)

Subjects:

Comparison of mean interconcept distance for embedding with WordNet synonym replacement (WN) and without (PM). The initial number of unique concepts in the total corpus was 3,018,9... by Enock Niyonkuru (21246879)

Subjects:

Comparative analysis of WN and PM methodologies: Figure (a) displays the bar chart comparing WN and PM across five distinct concept sets (Methods), highlighting the number of conce... by Enock Niyonkuru (21246879)

Subjects:

Void-Center Galaxies and the Gravity of Probability Framework: Pre-DESI Consistency with VGS 12 and NGC 6789 by Jordan Waters (21620558)

“…<br><br><br><b>ORCID ID: https://orcid.org/0009-0009-0793-8089</b><br></p><p dir="ltr"><b>Code Availability:</b></p><p dir="ltr"><b>All Python tools used for GoP simulations and predictions are available at:</b></p><p dir="ltr"><b>https://github.com/Jwaters290/GoP-Probabilistic-Curvature</b><br><br>The Gravity of Probability framework is implemented in this public Python codebase that reproduces all published GoP predictions from preexisting DESI data, using a single fixed set of global parameters. …”

Number of tweets collected over time. by Sylvia Iasulaitis (8301189)

Descriptive measures of the dataset. by Sylvia Iasulaitis (8301189)

Corpora from the articles in order of size. by Sylvia Iasulaitis (8301189)

Media information. by Sylvia Iasulaitis (8301189)

Information from interactions. by Sylvia Iasulaitis (8301189)

Table of the database statistical measures. by Sylvia Iasulaitis (8301189)