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Filtrado por: Colegio Education, Criminal Justice, and Human Services Eliminar la restricciónColegio: Education, Criminal Justice, and Human Services Editor University of Cincinnati Eliminar la restricciónEditor: University of Cincinnati

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  • Occupational Injustice: Mental Stress and Chronic Pain in Gig Laborers

    Image thumbnail: Occupational Injustice: Mental Stress and Chronic Pain in Gig Laborers
    Type:
    Image
    Descripción/Resumen:
    This research analyzes the "syndemic" of mental stress and physical pain among 299 unregulated laborers in Dhaka, Bangladesh. Results reveal that psychological distress increased the risk of physical injury by 28-fold, highlighting a critical link between economic instability and worker health. These findings offer urgent parallels to the U.S. "gig economy," where delivery and warehouse workers face similar occupational injustices without safety nets. The presentation moves beyond ergonomics to propose a Social Justice Framework, challenging attendees to advocate for ethical supply chains and for mental health protections for vulnerable workers, both globally and locally.
    Creador/Autor:
    Mahabub, Md Saif
    Peticionario:
    Md Saif Mahabub
    Fecha modificada:
    08/02/2026
    Fecha modificada:
    08/02/2026
    Fecha de creacion:
    2026-02-20
    Licencia:
    Attribution 4.0 International

  • Targeted After Generative (TAG) Learning for Causal Inference with Latent Variables

    Article thumbnail: Targeted After Generative (TAG) Learning for Causal Inference with Latent Variables
    Type:
    Article
    Descripción/Resumen:
    Latent variables and causal inference are central to implementing empirical research and advancing substantive theory across the social sciences. Conventional latent variable frameworks such as structural equation modeling (SEM) are constrained by several simplifying assumptions (e.g., linearity, additivity, correct model specification). In this study, we relax key SEM assumptions by building data adaptive estimation methods for causal inference with latent variables. We developed a theory-driven Targeted After Generative (TAG) learning framework that integrates SEM-informed variational autoencoders (SEM VAEs) with targeted machine learning to estimate the average treatment effect. On the generative side, the SEM VAE encodes theory aligned neural networks that learn latent variable distributions through flexible joint modeling of measurement and structural parameters. On the targeted learning side, we construct an efficient influence function for the treatment effect with the SEM-VAE implied posterior distribution of the latent variables to estimate the average effect. Across simulations, the TAG learning approach outperforms alternative approaches and demonstrates low to no bias even in adverse conditions. TAG learning offers a theory-driven flexible approach with methodological promise for causally interpretable data-adaptive analysis with latent variables. More practically, the framework allows estimation of causal effects involving latent variables even in the presence of unknown functional relationships in the measurement and structural models (e.g., data adaptive effect estimation for nonlinear/nonadditive SEMs).
    Creador/Autor:
    Kelcey, Ben; Ataneka, Amota, and Habarurema, Jean-Baptiste
    Peticionario:
    Ben Kelcey
    Fecha modificada:
    06/02/2026
    Fecha modificada:
    06/03/2026
    Fecha de creacion:
    05-20-26
    Licencia:
    Attribution 4.0 International

  • Extracting Actionable Medical Data from a Twitter User’s History During a Medical Emergency

    Document thumbnail: Extracting Actionable Medical Data from a Twitter User’s History During a Medical Emergency
    Type:
    Document
    Descripción/Resumen:
    As technology permeates day-to-day life, people have more and more ways to communicate. These forms of communication create a challenge for Public Safety Answering Points (PSAP). Research has shown people are posting on social media for medical help, but PSAPs do not have a way to receive these messages. This research aims to determine if using keywords and filter words can be used to find the actionable calls for help in the midst of the millions of posts made. Actionable is defined as containing enough information to determine the nature of a medical emergency and if is currently occurring or is recent enough that the poster needs help. To determine if this was true, the most prevalent types of voice medical calls to the Cincinnati Fire Department were determined for 2021. A set of keywords and filter words was created for each call type. Then tweets were captured over a period of seventeen hours and filtered using the word lists. The filtering showed there was a valid way to find actionable tweets, and that people were posting such things. By varying the word lists, the signal-to-noise ratio can be adjusted depending on the desires of the agency. as filtering became more strict, the number of missed actionable tweets increased, while the number of incorrectly labeled as actionable decreased.
    Creador/Autor:
    Langdon, Theodore
    Peticionario:
    Theodore Langdon
    Fecha modificada:
    08/19/2023
    Fecha modificada:
    08/19/2023
    Fecha de creacion:
    2022-07-06
    Licencia:
    All rights reserved

  • Stemmed Gardens

    Student Work thumbnail: Stemmed Gardens
    Type:
    Student Work
    Descripción/Resumen:
    Starting a food producing garden should be easier to do successfully. Getting data related to your specific gardening conditions can be time consuming and tedious for the average person who does not have any gardening experience. In 2020 during the coronavirus pandemic, there has been an increase in food insecurities for people because of grocery supply chain fulfillment concerns. A simple yet shocking Google trends search for terms like “how to start a garden”, “food shortage”, and “food insecurity” since 2004 in the US have more than doubled in March of 2020 alone, during the beginning of the coronavirus pandemic. A search for “garden apps” has also shown more than double the interest in the same time frame on average. People want and need to grow their food to reduce their food anxieties. Having an alternative food source can also reduce national food-related supply chain disruptions caused by climate change, natural disasters, or even global pandemics. STEMMED Gardens was created to make gardening easier by crowdsourcing scientific data and real-life gardening success and failures. We created an iOS and Android application with an Azure based backend for users to be able to plan, maintain, troubleshoot, and share those gardening experiences. New and experienced users can easily retrieve and identify plant information and gardening techniques that can be used in each stage of their personal food garden journey.
    Creador/Autor:
    Garcia, Eli; Alonge, Michael; Library Service, CECH, and McDowell, Matthew
    Peticionario:
    CECH Library Service
    Fecha modificada:
    02/15/2022
    Fecha modificada:
    02/15/2022
    Fecha de creacion:
    2021-04
    Licencia:
    Attribution-NonCommercial-NoDerivs 4.0 International

  • Phishy

    Student Work thumbnail: Phishy
    Type:
    Student Work
    Descripción/Resumen:
    Phishy is a service intended for security administrators in order to allow them to launch several simultaneous, simulated phishing campaigns to gauge and improve the phishing awareness of employees within their organization. With our service, we want to take security awareness training to the next level. We designed Phishy to help combat the major phishing problem companies face today and to help better educate employees on the dangers of phishing. Currently, there is not an open-source platform that acts as a “one stop shop” for managing phishing campaigns and users’ phishing awareness training. Phishy fills this need by helping its users launch realistic phishing campaigns, utilizing WGET to clone websites in order to create realistic phishing situations. Along with giving users the ability to create practical phishing training for their organization, live visual and data analytics will be provided with tools such as Elasticsearch and Kibana. Since we know how busy security professionals are, it would be unlikely that each user who falls for a phishing simulation would be able to receive security training catered to what phishing tactic they fell for. Phishy has the ability to track which users are falling for which phishing scams and enroll them into specific phishing awareness training based on their interactions with the phishing simulation. Our hope is that Phishy will provide security professionals with a comprehensive tool that will allow them to better train and prepare their organization against the dangers of phishing
    Creador/Autor:
    Thomas, Jacob; Mayse, Derrck; Waters, Travis, and Library Service, CECH
    Peticionario:
    CECH Library Service
    Fecha modificada:
    02/15/2022
    Fecha modificada:
    02/15/2022
    Fecha de creacion:
    2021-04
    Licencia:
    Attribution-NonCommercial-NoDerivs 4.0 International

  • PANIK

    Student Work thumbnail: PANIK
    Type:
    Student Work
    Descripción/Resumen:
    As of 2019, it was estimated that over 21 million people in the United States go without reliable Internet connectivity (Winslow, 2019). The Internet is integral to everyday life now more than ever; many relying heavily on it for conducting work, obtaining an education, and maintaining communications. Because of these benefits and reliance, it is essential for anyone to have access to the Internet when it is needed, especially in cases of emergency. However, many people do not have the financial resources or technical know-how to stay connected. Our PANIK Guide hopes to help solve this issue by providing a user-friendly approach to setting up an inexpensive mesh network that can be used to help provide this access in areas and times where Internet connection is needed most. PANIK Kits are an affordable, easy to set up, quickly deployable approach to help connect those who are in most need of these resources.
    Creador/Autor:
    Snider, Andrew; Library Service, CECH; Yanchek, Dylan, and Rauh, Samantha
    Peticionario:
    CECH Library Service
    Fecha modificada:
    02/14/2022
    Fecha modificada:
    02/14/2022
    Fecha de creacion:
    2021-04
    Licencia:
    Attribution-NonCommercial-NoDerivs 4.0 International

  • Help Desk Helper

    Student Work thumbnail: Help Desk Helper
    Type:
    Student Work
    Descripción/Resumen:
    Since February 2020, tickets coming in over channels like WhatsApp, Facebook Messenger, direct messages over Twitter, and SMS rose nearly 50 percent. While this is convenient for the user, this could result in tickets not being generated for the help desk and may be negatively impacting their tracking metrics. Our solution integrates itself within multiple commonly used messaging and support desk platforms. This provides end users with easy solutions for their common problems and granting them an easy way to make a support ticket should they require additional support from their help desk. By using readily available technology, we are bringing an easy-to-use solution to those in need of support in a way that is convenient for the end user and easy for the support desk to track. Our Solution provides an easily accessible chatbot that provides end users with quick level one support.
    Creador/Autor:
    Sellmeyer, Aaron; Library Service, CECH; Auguste, Turin, and Meier, Michael
    Peticionario:
    CECH Library Service
    Fecha modificada:
    02/14/2022
    Fecha modificada:
    02/14/2022
    Fecha de creacion:
    2021-04
    Licencia:
    Attribution-NonCommercial-NoDerivs 4.0 International

  • Green Impact

    Student Work thumbnail: Green Impact
    Type:
    Student Work
    Descripción/Resumen:
    In today’s ever-changing world, people are beginning to increasingly feel the effects of climate change. Many users want to make an impact, but many do not know how they can do to play their part. GreenImpact is the ultimate solution for users to have a better understanding of environmental problems and realize that everyone can contribute to solving environmental problems. Green Impact combines the feed of information, maps locations of social welfare projects, tracks green activities, shares what they find, and gets rewarded points. Based on the research of Pew Research Center surveys dating back nearly two decades, nearly as many Americans say protecting the environment should be a top policy priority (64%) as say this about strengthening the economy (67%) (February, 2020). Our application will serve as a tool for environmentally conscious people, who want to track their actions and see how they are making an impact.
    Creador/Autor:
    Alalainy, Adnan; Library Service, CECH; Comyns, Spencer , and Cheng, Han
    Peticionario:
    CECH Library Service
    Fecha modificada:
    02/14/2022
    Fecha modificada:
    02/14/2022
    Fecha de creacion:
    2021-04
    Licencia:
    Attribution-NonCommercial-NoDerivs 4.0 International

  • Mismanaged Credential Finder

    Student Work thumbnail: Mismanaged Credential Finder
    Type:
    Student Work
    Descripción/Resumen:
    Knowledge bases are a growing industry due to the information required in the background to support multiple applications and daily tasks for employees. These knowledge bases are filled with an abundance of information. This information could include passwords, keys and other credentials that could be critical for an organization. According to the Verizon Data Breach Investigations Report, 78% of attacks on web applications involved the use of stolen credentials with credentials and personally identifiable information as a target. With the Mismanaged Credential Finder, this application is looking to find and help remedy credentials that are in these knowledge bases. By doing so, this application is looking to help IT professionals manage their knowledge base and enforce cybersecurity policies. In doing so, our goal is to minimize risk due to a knowledge base breach for an organization.
    Creador/Autor:
    McDonald, Richard; Library Service, CECH; Tan, Michael, and Kadakia, Kevin
    Peticionario:
    CECH Library Service
    Fecha modificada:
    02/14/2022
    Fecha modificada:
    02/14/2022
    Fecha de creacion:
    2021-04
    Licencia:
    Attribution-NonCommercial-NoDerivs 4.0 International

  • Introsec

    Student Work thumbnail: Introsec
    Type:
    Student Work
    Descripción/Resumen:
    Introsec is an informational program that introduces middle and early high school students to the realm of cybersecurity. This web application consists of a series of interactive gamified labs that help students develop skills that are relevant to their personal cybersecurity and the broader industry. According to security firm ProtectWise, 67 percent of millennials have never taken a cybersecurity class (Delaney, 2018). Based on our research, there is a need for a quick and interactive course to introduce middle and high school level students to the basics of cybersecurity and gauge their interest in the field. Introsec provides a fast, fun and effective way to get hands-on experience without needing to commit to a long camp or series of courses. We have created a functioning web application that provides students with basic information about aspects of cybersecurity through multiple scenario-based games.
    Creador/Autor:
    Andre, Joshua; Library Service, CECH; Fordos, Michelle, and Turner, Eric
    Peticionario:
    CECH Library Service
    Fecha modificada:
    02/14/2022
    Fecha modificada:
    02/14/2022
    Fecha de creacion:
    2021-04
    Licencia:
    Attribution-NonCommercial-NoDerivs 4.0 International