School of Informatics and Computing IUPUI School of Informatics https://hdl.handle.net/1805/193 2022-10-02T13:10:46Z 2022-10-02T13:10:46Z Putting Theory into Practice: Incorporating Digital Curation Skills into a Library and Information Science Curriculum Pieczko, Brandon T. https://hdl.handle.net/1805/30151 2022-09-30T06:03:14Z 2022-09-28T00:00:00Z Putting Theory into Practice: Incorporating Digital Curation Skills into a Library and Information Science Curriculum Pieczko, Brandon T. This presentation discusses lessons learned from the development of a new course to introduce Master of Library and Information Science students to practical tools and techniques for curating born-digital archival objects. The course was developed in response to increasing demand from students seeking practical, hands-on digital curation learning experiences. Lessons learned, challenges encountered, and limitations discovered from two offerings of the course, as well as areas for improvement in future iterations of the course, are discussed. Presented at the 2022 Best Practices Exchange (un)Conference in Nashville, TN on 2022-09-28. 2022-09-28T00:00:00Z Integrated miR-mRNA Network Underlying Hepatic Fat Accumulation in Humans Srivastava, Rajneesh Wang, Xiaoliang Lin, Jingmei Wei, Rongrong Chaturvedi, Praneet Chalasani, Naga P. Janga, Sarath Chandra Liu, Wanqing https://hdl.handle.net/1805/28783 2022-04-27T06:02:51Z Integrated miR-mRNA Network Underlying Hepatic Fat Accumulation in Humans Srivastava, Rajneesh; Wang, Xiaoliang; Lin, Jingmei; Wei, Rongrong; Chaturvedi, Praneet; Chalasani, Naga P.; Janga, Sarath Chandra; Liu, Wanqing Background: An integrate miRs and mRNAs analysis in the development of Non-Alcoholic Fatty Liver Disease (NAFLD) and Non-Alcoholic Steatohepatitis (NASH) is lacking. We aimed to identify miRs as well as the miR-mRNA regulatory network involved in hepatic fat accumulation and human NAFLD. Materials and Methods: Hepatic fat content (HFC) was measured, and liver histology was characterized for 73 liver tissue samples. MicroRNAs and mRNAs significantly associated with HFC were identified based on genome-wide mRNA and miR expression profiling data. These miRs and mRNAs were further used to build miR-mRNA association networks in NAFLD and normal samples based on the potential miR-mRNA targeting, as well as to conduct a pathway enrichment analysis. Results: We identified 62 miRs significantly correlated with HFC (p<0.05), with miR-518b and miR-19b demonstrated to be the most significant positive and negative correlation with HFC, respectively (p<0.008 for both). Many miRs that were previously associated with NAFLD/NASH were also observed. Integrated network analysis indicated that a few miRs-30b*, 616, 17*, 129-5p, 204, and 20a controlled >80% of HFC-associated mRNAs in this network, and the regulation network was significantly rewired from normal to NAFLD. Pathway analyses revealed that inflammation pathways mediated by chemokine and cytokine signaling, Wnt signaling, lntegrin signaling and Natural killer cell mediated cytotoxicity were enriched (p<0.05) in hepatic fat accumulation. Digitized for IUPUI ScholarWorks inclusion in 2021. Patient-Centered Decision Support for Pediatric Asthma Screening: A Web-based Interface for Parents Zolnoori, Maryam Schilling, Katherine Jones, Josette https://hdl.handle.net/1805/28782 2022-04-27T06:02:53Z Patient-Centered Decision Support for Pediatric Asthma Screening: A Web-based Interface for Parents Zolnoori, Maryam; Schilling, Katherine; Jones, Josette Asthma in children is a global health crisis. Differential diagnosis of asthma is a complex process. Significant disconnects exist between disease prevalence vs. diagnoses. Families ignore or misunderstand asthma signs and symptoms. Families experience barriers to screening and diagnosis: health literacy, costs, travel and time, limited access to expert care, etc. Under-diagnosis results in significant individual and societal burdens. Early diagnosis leads to more effective disease management. Digitized for IUPUI ScholarWorks inclusion in 2021. Ontological Based CDSS in the Management of Breast Cancer Yekkaluri, Sruthi Jones, Josette Kulanthaivel, Anand https://hdl.handle.net/1805/28781 2022-04-27T06:02:52Z Ontological Based CDSS in the Management of Breast Cancer Yekkaluri, Sruthi; Jones, Josette; Kulanthaivel, Anand Accurate diagnosis is a key to ensure the most appropriate treatment. The diagnosis accuracy depends on physician's knowledge on the patient case. The ontological based CDSS is based on comprehending the diagnostic process and criteria to make accurate diagnosis and appropriate treatment plan. Digitized for IUPUI ScholarWorks inclusion in 2021.
https://scholarworks.iupui.edu/feed/atom_1.0/1805/193
scholarworks.iupui.edu
crawl=CC-MAIN-2022-40
6593
application/http; msgtype=response
sha1:KGSRMK77FNNVEB6LNL2ZCHVVPMVI7TK7
<urn:uuid:b074280e-c178-458b-bd1a-6df7496ec5c8>
2022-10-02T13:10:46Z
134.68.190.85
application/atom+xml
sha1:KEPS7XX6EWBO5NAFX7M22H3ETPF3KO23
<urn:uuid:153ee656-f4a9-4064-98c2-3db41622ef34>
https://scholarworks.iupui.edu/feed/atom_1.0/1805/193
response
<urn:uuid:52322944-5305-4630-ba30-3ed04d6ee017>
isPartOf: CC-MAIN-2022-40
publisher: Common Crawl
description: Wide crawl of the web for September/October 2022
operator: Common Crawl Admin (info@commoncrawl.org)
hostname: ip-10-67-67-62
software: Apache Nutch 1.19 (modified, https://github.com/commoncrawl/nutch/)
robots: checked via crawler-commons 1.4-SNAPSHOT (https://github.com/crawler-commons/crawler-commons)
format: WARC File Format 1.1
conformsTo: https://iipc.github.io/warc-specifications/specifications/warc-format/warc-1.1/