Carroll Scholars, a service of Corette Library, centralizes, preserves, and provides access to the research, creative scholarship, and unique resources produced and deposited by Carroll College faculty, students, and staff. Carroll Scholars makes these resources easier to find, share, and use. Find out more about Carroll Scholars at https://www.carroll.edu/library/about/carroll-scholars-institutional-repository

  • Take PRIDE In Your Mental Health 

    Hachler, Madysen; Konen, Amelia; Wagner, Jennifer (2021-04-23)
    LGBTQ+ college students are more susceptible to mental health issues such as depression and thoughts of suicide (Effrig, 2011). Unfortunately, Carroll College students are not immune to this. Currently Carroll has resources ...
  • Environmental and Socioeconomic Factors in Predicting Risk of West Nile Virus in Montana 

    NYE, MADELINE (2021-04-23)
    West Nile virus (WNV) is a vector-borne disease with prevalence within the state of Montana. Predicting the patterns of this disease by assessing risk related to socioeconomic factors allows further control and prevention ...
  • All-Metal-Oxide p-n Photovoltaic Junctions Fabricated from in-Situ Extraterrestrial Resources 

    Genin, Chris (2021-04-23)
    An all-metal-oxide photovoltaic device was made by chemically joining an n-type metal oxide thin film to a p-type metal-oxide-alloy thin film to form a p-n homojunction. A spin coating solution processing technique was ...
  • Using Six Sigma to Prevent Duplicate Medical Record Requests at Blue Cross Blue Shield 

    Miner, Jason; Bousliman, Jessica; Bartholomew, Nolan; Lowrimore, Nicholas; Olmes, Anthony (2021-04-23)
    Multiple duplicate record requests from healthcare providers make it difficult for Blue Cross Blue Shield of Montana to operate efficiently. Duplicate requests create extra work and cost defects. We are seeking a zero-cost ...
  • Autoencoders 

    Davidson, Shirley (2021-04-22)
    A Neural Network is a statistical tool that aids in the classification of data points for machine learning. Autoencoders are a type of neural network that are capable of learning large amounts of data without being ...

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