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- Member of: Barrett, The Honors College Thesis/Creative Project Collection
- Status: Published
Description
I have conducted a creative that captures the power of women through an artistic perspective. The title of the creative project is “A Tribute to the Women Among us,” because this project’s purpose is to express gratitude for the women that fought for the rights I have today, and for the women I encounter in marches, continuing the fight. I have taken photographs of women and children at women's marches in the United States and in France, yielding a total of 10 photographs I will be presenting at my defense, and printing out to sell. All the profits made from the photographs will be donated to planned parenthood.
ContributorsMiss Ozuna, Alejandra Miss (Author) / Anand, Julia (Thesis director) / Mesch, Claudia (Committee member) / School of Politics and Global Studies (Contributor) / Department of Psychology (Contributor) / Barrett, The Honors College (Contributor)
Created2019-05
Description
This thesis explores the relationship between sustainability, the fashion industry, and fashion exhibitions. Sustainability has been a driving force in the fashion industry in recent years as designers attempt to combat staggering textile waste statistics in order to lessen the damage the industry has on the environment. Producers must rethink human engagement with nature based on a new ethic of ecosystem stewardship, which proposes that humans have ethical obligations to one another in their mutual relationship with non-human species and nature (Schmitz 13). Enhancing a socio-ecological perspective garners new ways of consuming and appreciating clothing design while focusing on lessening impacts on the environment through using less materials, reusing materials in new textile developments, and projecting a sustainable identity that can be followed by the public in order to be more conscious of spending habits, annual waste, and how sustainably ethical companies are. Removing natural resources or transforming landscapes to enhance human well-being paradoxically stands to diminish human well being over time (Schmitz 12), and this is something that humans face with the inevitability of climate change affecting future generations. In mapping the relationship between sustainability, fashion designer's design process, and the way curators communicate sustainable themes, an overall understanding of sustainable culture can be understood in the industry.
ContributorsLord, Nicolas K (Author) / Sewell, Dennita (Thesis director) / Mesch, Claudia (Committee member) / School of Art (Contributor, Contributor) / Barrett, The Honors College (Contributor)
Created2020-05
Description
Open source image analytics and data mining software are widely available but can be overly-complicated and non-intuitive for medical physicians and researchers to use. The ASU-Mayo Clinic Imaging Informatics Lab has developed an in-house pipeline to process medical images, extract imaging features, and develop multi-parametric models to assist disease staging and diagnosis. The tools have been extensively used in a number of medical studies including brain tumor, breast cancer, liver cancer, Alzheimer's disease, and migraine. Recognizing the need from users in the medical field for a simplified interface and streamlined functionalities, this project aims to democratize this pipeline so that it is more readily available to health practitioners and third party developers.
ContributorsBaer, Lisa Zhou (Author) / Wu, Teresa (Thesis director) / Wang, Yalin (Committee member) / Computer Science and Engineering Program (Contributor) / W. P. Carey School of Business (Contributor) / Barrett, The Honors College (Contributor)
Created2016-12
Description
The Population Receptive Field (pRF) model is widely used to predict the location (retinotopy) and size of receptive fields on the visual space. Doing so allows for the creation of a mapping from locations in the visual field to the associated groups of neurons in the cortical region (within the visual cortex of the brain). However, using the pRF model is very time consuming. Past research has focused on the creation of Convolutional Neural Networks (CNN) to mimic the pRF model in a fraction of the time, and they have worked well under highly controlled conditions. However, these models have not been thoroughly tested on real human data. This thesis focused on adapting one of these CNNs to accurately predict the retinotopy of a real human subject using a dataset from the Human Connectome Project. The results show promise towards creating a fully functioning CNN, but they also expose new challenges that must be overcome before the model could be used to predict the retinotopy of new human subjects.
ContributorsBurgard, Braeden (Author) / Wang, Yalin (Thesis director) / Ta, Duyan (Committee member) / Barrett, The Honors College (Contributor) / School of International Letters and Cultures (Contributor) / Computer Science and Engineering Program (Contributor) / School of Mathematical and Statistical Sciences (Contributor)
Created2022-05