Share your work
The University Digital Conservancy is home to open access articles, institutional documents, dissertations, datasets, university produced publications, campus newspapers, podcasts & more. Learn about the UDC.
- Openly share and provide access to your publications and scholarly works through the University's Open Access to Scholarly Articles policy.
- Publish, share, and preserve your digital data for long-term access and future use in the Data Repository.
- Make your thesis or dissertation openly accessible to share your work.
- Preserve core institutional documents and university publications as part of the University of Minnesota Archives.
Communities in the UDC
Select a community to browse its collections.
Recent Submissions
"You don't always get that in the city" Social relationships in rural alcohol and substance use recovery communities: Implications for recovery identity formation
(2024-06-23) Wren, Shelby; Krentzman, Amy
Purpose
People in rural areas encounter unique challenges regarding alcohol and substance use recovery. Despite the fact that social relationships and community have long been considered important aspects of recovery, few studies have investigated how these factors may affect recovery in rural communities. This qualitative analysis was conducted with the aim of understanding how social relationships within recovery communities function in rural areas, and how this may expand the existing understanding of the importance of social relationships to recovery in general.
Methods
Thirty-four interviews, ranging from 60 to 90 minutes, were conducted with people either in recovery or who work in the recovery field in rural Minnesota. These interviews were transcribed verbatim, and coded first according to a framework of strengths and challenges of recovery in rural areas, then according to aspects of the social identity model of recovery (SIMOR; Best et al., 2016), which explains success in recovery as a transition from social relationships with people who use substances to relationships with others in recovery.
Results
We identified social and relational factors that facilitate the transition to recovery, including smaller meetings and a welcoming atmosphere, as well as those that create challenges in the transition to recovery, including sparse populations and social exclusion. We also identified social and relational factors that facilitate the maintenance of recovery, including neighborliness, recreation with others in recovery, economic and practical aid, and religious support, as well as those that challenge the maintenance of recovery, including stigma and judgment and religious exclusion.
Conclusion
Practitioners in the recovery field should consider how geographical factors may affect their clients’ recovery, as well as how the above-mentioned social and relational factors may affect their rural clients’ recovery. The social identity model of recovery is a helpful framework for understanding recovery, but should be tested in different social contexts, including urban and rural settings, to determine how the broader social context affects social identities in recovery.
BidCell and Baysor on Large-Scale Single-Cell and Spatial Transcriptomics Datasets
(2024-12-23) Leung, Branda
The purpose of this research is to examine the different types of packages that can be used for cell segmentation, specifically on much larger datasets. The key packages studied were called “Baysor” and “Bidcell”. Previous research discussed the different methods of each package, which served as a foundation for this study to further understand how well each package handles large datasets. In this study, the Xenium mouse brain dataset with 62 million transcripts was used with default parameters used in each package. Furthermore, based on the cell segmentation results, Bidcell appears to have under cell segmentation results, with many cells not being represented when drawn. On the other hand, Baysor appears to have over cell segmentation, with excessive outlining of the cell boundaries. However, Bidcell or Baysor’s results may have accurate results to the real segmentation boundaries. Future studies would benefit from testing by altering parameters and comparing them to the default parameters’ segmentation results.
Embedding Bipartite and Complete Graphs on Orientable and Non-Orientable Surfaces
(2024-12-24) Briol, Blake
In this paper we will observe the progress having been made in the embedding of regular
euler impure graph embeddings on orientable and non-orientable surfaces including the
torus T2, real projective plane (RP2), and klein bottle where regular graphs are a graph
with a set of nodes where every node can connect to every other node denoted by Km. We
will also discuss a partition to be made within an infinite family of euler impure graphs on
orientable surfaces as given by Davies and Pfender. We will do so by considering natural
solutions to the g/2 floor stipulation. After which, we will discuss constructions of bipartite
euler impure graph embeddings on orientable and non-orientable surfaces and their
properties where bipartite graphs are graphs with 2 sets of nodes that can connect to every
node in the other set denoted by K(m,n). We will also discuss arbitrary node embeddings on
the 4-faces of these bipartite euler-impure graph constructions. This construction is heavily
inspired by the methodology toward the regular case in the paper,”Edge-maximal graphs
on orientable and some non-orientable surfaces,” written by Davies and Pfender.
Infrared Observations of Variable Brightness Stars and Determining Their Period
(2024-12-27) Oellrich, Luke
Understanding college students’ trust in news
(2024-12-05) Farnsworth, Chloe