ROAR: Repository for Open Access, Archives, and Research (Univ. of North Alabama)
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    970 research outputs found

    On Wings of Hope, Volume 26, No. 2, 2022

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    Biology 102 Lab Manual

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    https://roar.una.edu/textbooks/1006/thumbnail.jp

    Clinical Microbiology Lab Manual

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    https://roar.una.edu/textbooks/1005/thumbnail.jp

    Geographic Language in Politics: A Comparison of 2016 and 2020 Vice Presidential Debates

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    Similar to their running mates, VP candidates used geographic language to highlight important domestic and foreign issues. In both debates, each VP candidate utilized swing state references. However, swing states were not as prominently used by VP candidates. The 2012, 2016, and 2020 presidential candidates\u27 swing state references constituted a much higher proportion of their domestic language. It should be noted that previous research typically excludes references to candidates’ home states, as this has been found to be a source of data inflation and statistical noise. Thus, an analysis of the 2016 VP debate is complicated by the fact that Tim Kaine’s home, Virginia, was also a swing state

    Analysis of Economic and Pandemic Forces on U.S. Stock Market Index

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    Over the past century, research has been prevalent in the economic and financial literature on developing models to assist in the prediction of stock market price and stock market indices. Stock market price prediction is a complicated process, which has produced and conceptualized several theories regarding stock markets over the years. Most of these theories either try to explain the nature of stock markets or try to explain whether the markets can be manipulated through inefficiencies which often lead to financial gain for investors. Most of these past prediction models have utilized some form of quantitative-based regression analysis, including logit, stochastic, and multiple linear regression

    When charismatic leadership trumps social networking: Searching for the effects of social media on beliefs of electoral legitimacy

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    This research examines the effect that information and communications technology, via social media, had on peoples\u27 confidence in American democratic processes. Using a large N dataset, this work finds that use of social networking sites (SNS) had a negligible effect on voter confidence. This finding is surprising given President Trump\u27s ubiquitous online presence and his role in pushing conspiracies about electoral fraud in the 2020 presidential election. I go on to examine how respondents\u27 sentiment toward President Trump affected the trust they had in American democratic institutions. This study finds that political elites can serve as a more powerful influence on their constituents than do the effects of social media usage. SNS will continue to pose a unique challenge to American democracy as for-profit corporations continue to develop online platforms that compel engagement by offering salacious content that feeds into users\u27 biases

    Maximum Pay Laws: Is it Time?

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    This paper addresses the large and growing pay gap between executives and employees in large corporations by considering the need for a private sector maximum wage law in the United States. The first section of the paper presents evidence that suggests the United States has a large pay gap compared to other countries and that the pay gap in the United Statesis growing over time. The second section of the paper presents a review of court cases and legislative actions that include the ineffectiveness of derivative lawsuits, the lack of new legal doctrines to address pay gaps, the general failure of the nonbinding say-on-pay vote to limit pay,the success of pay limits in the public sector, and various maximum pay laws that exist in different countries. The third section of the paper presents arguments for and against a private sector maximum pay law in the United States. The fourth and final section of the paper leaves the reader to decide if it is time for a private sector maximum pay law in the United States

    Stretchable Sensor Comprising Perovskite and Mechanoluminescence Materials for Structural Health Monitoring

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    Python Textbook

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    https://roar.una.edu/textbooks/1010/thumbnail.jp

    On Wings of Hope, Volume 26, No. 1, 2022

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