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Fishes of The Cypress Creek System, Tennessee River Drainage: Historical Records, Recent Fish Fauna, and Index of Biotic Integrity Assessment - Geological Survey of Alabama Bulletin 190
Full text linkCypress Creek is a northern tributary to the Tennessee River (Pickwick Lake) in Lauderdale County, Alabama, and Wayne County, Tennessee, with a drainage area of 214 square miles. Although repeatedly sampled for fishes such as Slackwater Darter, Etheostoma boschungi, Tuscumbia Darter, E. tuscumbia, and Flame Chub, Hemitremia flammea, over the past several decades, the last comprehensive fish survey of the watershed was conducted in 1971, and changes in the fish fauna and community composition may have occurred. Historical data (1845‐ 2019) containing 5,105 records was compiled for 109 species reported at least once from the Cypress Creek system. Samples from 2009‐19 (primarily in 2015‐16) at 83 localities were collected by seining, backpack electrofishing, and a limited number of boat electrofishing efforts. Community composition was analyzed for 39 collections using the Index of Biotic Integrity. One hundred thirty‐one collections yielded 2,453 records containing a total of 80 species, with a mean of 21 species per collection, including several species of interest. Multiple species (e.g., Pirate Perch, Aphredoderus sayanus) that were rare in historical collections were proportionally documented more frequently in this study when sampling appropriate habitats in select tributaries. The current fish fauna of Cypress Creek includes 99 species, which represents high species diversity for this relatively moderate‐sized stream, when compared to rivers and streams frequently referenced for their fish diversity. Index of Biotic Integrity scores varied among tributaries, suggesting differing anthropogenic impacts on fish community composition across the watershed. Future development within the watershed should be closely monitored to ensure the aquatic biodiversity of this stream is not compromised
Think Outside the Download: Growing IR Collections to Make Data-Driven Decisions
Full text linkWhen institutional repository managers think about the impact of the IR, they typically consider download counts or other usage metrics. But what if our collections could be a pivotal data source for making important decisions across the university? Using the lens of faculty publications, we will discuss several strategies for uploading new submissions to ensure a thorough picture of the data. We will then consider examples for using this data, such as highlighting research for faculty promotion and tenure decisions and identifying where faculty publish to assist libraries in negotiating OA-friendly agreements with publishers
Advocating for Open Educational Resources (OER) from a Staff Position
Full text linkPresentation given at the 2nd Annual Alabama Support Staff Workshop.https://ir.una.edu/libfacpresentation/1050/thumbnail.jp
Investigating user perceptions of mobile app privacy: An analysis of user-submitted app reviews
No full text© 2020, IGI Global. Copying or distributing in print or electronic forms without written permission of IGI Global is prohibited. Mobile devices and third-party applications are used by over 4.5 billion people worldwide. Third-party applications often request or even require authorized access to personal information through mobile device components. Application developers explain the need for access in their privacy policies, yet many users are concerned about the privacy implications of allowing access to their personal information. This article explores how user perceptions of privacy affect user sentiment by analyzing over five million user-submitted text reviews and star ratings collected over a four-year period. The authors use supervised machine learning to classify privacy and non-privacy-related reviews. The authors then use natural language processing sentiment analysis to compare differences between the groups. Additionally, the article explores various aspects of both privacy and non-privacy-related reviews using self-reported measurements such as star rating and helpfulness tags
Teaching introductory programming from A to Z: Twenty-six tips from the trenches
No full text© 2020, ISCAP- Information Systems and Computing Academic Professionals. A solid foundation in computer programming is critical for students to succeed in advanced computing courses, but teaching such an introductory course is challenging. Therefore, it is important to develop better approaches in order to improve teaching effectiveness and enhance student learning. In this paper, we present 26 tips for teaching introductory programming drawn from the experiences of four well-qualified college professors. It is our hope that our peers can pick up some tips from this paper, apply them in their own classroom, improve their teaching effectiveness, and ultimately enhance student learning
