Measuring Trust and Discrimination in the Healthcare System, The Case of Minnesota

Using data from our 2023 Fall Survey of Minnesota Residents, we examine the relationship between partisanship, education, and age on trust in the healthcare system. We also examine the relationship between demographic factors and the likelihood of experiencing discrimination in health care services

From the White House to the Lake House: Tracing Eliza Winston\u27s Enslavement and Her Pursuit of Freedom in Minnesota

Eliza Winston was an African American woman who spent her first forty-three years of life as an enslaved person. Born around 1817, she suffered captivity by multiple enslavers in the slave states Tennessee, Kentucky, Mississippi, and Louisiana and in the free state Minnesota. The couple John McLemore and Betsy Donelson-McLemore kept her in bondage in Tennessee from 1822 to 1834. President Andrew Jackson\u27s wife was a Donelson, and he intervened--while in office at the White House--to keep Winston enslaved by the Donelsons for another fourteen years. After the McLemores held her in urban Nashville, Mary Eastin-Polk brought her to a plantation in Maury County. Then, in 1842 the McLemores\u27 daughter Kate inherited Winston and took her to urban Memphis. While there, Winston learned how to read, married, and started a family; and she interacted with free African Americans and people opposed to slavery. Her next two enslavers promised to free her but failed to do so. As a result, when her last slaveholders brought her on their vacation to Minnesota in 1860, she used her experiences to free herself

Three Odes, poems

Three poems in the form of odes that imitate the odes by Pablo Neruda. Jon Woodson is a creative writer and Howard University emeritus professor of English living in Providence, RI. His most recent publication is The Emblematic Novel: esoteric realism in the Harlem Renaissance and the Lost Generation (2023). A new collection of poems is forthcoming, Irregular Odes

This Ain\u27t Nothin\u27 New

Voices of the Incarcerate

In the Quiet Place

Essay about the death of a father and the grief that comes after

SYNTHESIZERS DEMONSTRATED ON BETINE

This paper provides basic information on developing speech synthesis to help preserve and revitalize critically endangered languages. It uses Betine, (ISO 639-3:eot), as a model. The death of minority languages is escalating globally, and 90% are predicted to die by 2100, which results in the loss of cultural heritage and knowledge. Synthesizing speech in dying and near-extinct languages can preserve and even revitalize them. The paper includes spectrographs and waveforms of the given Beti name transcribed phonetically as [aːɟo]. It also contains voice component measurements and the synthesizing programs used for comparison. The measurements taken from the data include F0/pitch, formants (F1, F2, F3, F4, F5), amplitudes (A1, A2, A3, A4), and A5, intensity, duration, and bandwidths (B1, B2, B3, B4, and B5). The paper notes that chunking longer phonemes into multiple short samples can give better synthesized results. Klatt, KlattGrid, and WORLD synthesizers are used for synthesizing the Betine speech segment. The paper proposes that vocoder synthesizers such as WORLD may be worth greater research concerning their capabilities in artificial speech synthesis

Preface to this Special Poetry Issue: Boundaries and Borders, and their Dissolution (Vol 9.2)

This Preface introduces in detail the Special Poetry Issue (Vol 9.2), Boundaries and Borders, and their Dissolution. The issue consists of invited and submitted original poetry, collected and edited by Steven B. Katz, Editor-Poetry.Bio: Dr. Steven B. Katz is Emeritus Faculty in Rhetoric, Communication, and Information Design doctoral program, Department of Interdisciplinary Studies, College of Architecture, Arts, and Humanities, Clemson University; and Pearce Professor Emeritus of Professional Communication, and Professor Emeritus of English, Emeritus College, Clemson University. He has published many poems, articles, and seven books; his new book, Plato\u27s Nightmare, is forthcoming from Parlor Press

Software Engineering Internship Portfolio

This document details the experiences and knowledge gained during the internship capstone course of the PSM degree in Software Engineering. The capstone was split across two separate internships at TSI Inc. and MiTek. My role with TSI was to support global production activities involving supporting legacy software, developing new software for production output improvements, and software validation. Additionally, this role involved collaboration with various trade backgrounds, global troubleshooting, database administration, and project planning. Over the course of the internship with TSI the main focus projects to highlight and discuss were CFlow, Sensor Database Annealing System, and Calibration Time Analyzer. The second half of the portfolio with MiTek discusses work done primarily on the Array software as part of a agile-scrum oriented team. In this defense, I detail my internship responsibilities, insights gained, skills developed, and practices learned. I discuss the impact and benefits of the highlight projects as part of my internship. Additionally, I discuss a supplementary project created as an addendum to the internship experience that highlights design and technical skills acquired throughout the internships. The report concludes with a reflection on internship benefits and closing thoughts

A Novel Computational Approach for COVID-19 Fake News Detection by Utilizing Deep Learning Techniques

The COVID-19 pandemic has led to an unprecedented surge in disseminating accurate and false information across social media and online platforms. The spread of fake news about COVID-19 poses significant public health risks, including confusion, panic, and even fatalities. We propose a novel computational approach to address this urgent issue, by integrating advanced Natural Language Processing (NLP) algorithms like MetaMap and ScispaCy to extract biomedical information from news articles. Motivated by the necessity to combat misinformation, our study evaluates the performance of deep learning models, including Long Short-Term Memory (LSTM) and Gated Recurrent Unit (GRU), in detecting fake news. We observed that the ScispaCy in combination with LSTM model, leveraging domain-specific tools, achieved the highest performance across all evaluated metrics, with 87% accuracy, 90% precision, 86% recall, 88% F1-Score, and 87% AUC score compared to other models

Self-Regulation Strategies to Improve Academic Success in Students with Emotional and Behavioral Disorders in Elementary Settings

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