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Employee resignation study in Fairfax County

Zhang et al. | Mar 03, 2023

Employee resignation study in Fairfax County

In this study, the authors address potential reasons why employees may voluntarily resign. This is in response to the currently observed economic trend The Great Resignation. Through analysis of federal and local government data along with survey results from Fairfax County, they concluded that adding additional benefits will help companies retain talented empolyees.

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The comparative effect of remote instruction on students and teachers

Ng et al. | Jan 16, 2022

The comparative effect of remote instruction on students and teachers

In this study, high school students and teachers responded to a survey consisting of Likert-type scale, multiple-choice, and open-ended questions regarding various aspects of remote instruction. After analyzing the data collected, they found that remote learning impacted high school students academically and socially. Students took longer to complete assignments, and both students and teachers felt that students do not learn as much in remote learning compared to in-person instruction. However, most high school students demonstrated a comprehensive understanding of the topics, and an overall negative impact on students' grades was not detected.

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The influence of implicit social pressure on prosocial behavior of adolescents

Carroll et al. | Dec 13, 2021

The influence of implicit social pressure on prosocial behavior of adolescents

In this study the authors sought to understand the influence of implicit social pressure on prosocial behavior (voluntary acts that benefit someone else) in adolescents age 12–19. They considered how participants divided money between themselves and four teammate they did a school project with. Despite being shown examples of how to divide money (social pressure), their results showed that both boys and girls were unaffected by prosocial, neutral, and antisocial pressures.

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The influence of purpose-of-use on information overload in online social networking

Agarkar et al. | Nov 01, 2022

The influence of purpose-of-use on information overload in online social networking

Here, seeking to understand the effects of social media in relation to social media fatigue and/or overload in recent years, the authors used various linear models to assess the results of a survey of 27 respondents. Their results showed that increased duration of use of social media did not necessarily lead to fatigue, suggesting that quality may be more important than quantity. They also considered the purpose of an individual's social media usage as well as their engagement behavior during the COVID-19 pandemic.

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The gender gap in STEM at top U.S. Universities: change over time and relationship with ranking

Kruus et al. | Jun 25, 2024

The gender gap in STEM at top U.S. Universities: change over time and relationship with ranking

Authors address the gender disparity in STEM fields, examining changes in gender diversity across male-dominated undergraduate programs over 19 years at 24 top universities. Analyzing data from NCES IPEDS, it identifies STEM as persistently male-dominated but notes increasing gender diversity in many disciplines, particularly in recent years. Results indicate that higher-ranked universities in disciplines like computer science and mechanical engineering show a weak correlation with improved gender diversity, suggesting effective initiatives can mitigate the gender gap in STEM, despite ongoing challenges.

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Using NLP to ascertain changes in the fast-fashion industry based on UN sustainable development goals

Chadha et al. | Sep 11, 2023

Using NLP to ascertain changes in the fast-fashion industry based on UN sustainable development goals
Image credit: Prudence Earl

Here, the authors sought to evaluate the efforts of fast fashion clothing companies towards sustainability, specifically in regards to the United Nations Sustainable Development Goals. The authors used natural language processing to investigate the sustainability reports of fast fashion companies focusing on terms established by the UN. They found that the most consistently addressed areas were related to sustainable consumption/production, with a focus on health and well-being emerging during the recent pandemic.

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An explainable model for content moderation

Cao et al. | Aug 16, 2023

An explainable model for content moderation

The authors looked at the ability of machine learning algorithms to interpret language given their increasing use in moderating content on social media. Using an explainable model they were able to achieve 81% accuracy in detecting fake vs. real news based on language of posts alone.

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Statistically Analyzing the Effect of Various Factors on the Absorbency of Paper Towels

Tao et al. | Dec 04, 2020

Statistically Analyzing the Effect of Various Factors on the Absorbency of Paper Towels

In this study, the authors investigate just how effectively paper towels can absorb different types of liquid and whether changing the properties of the towel (such as folding it) affects absorbance. Using variables of either different liquid types or the folded state of the paper towels, they used thorough approaches to make some important and very useful conclusions about optimal ways to use paper towels. This has important implications as we as a society continue to use more and more paper towels.

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