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Comparison of 2 Alternative Systems for Measuring Vertical Jump Height
Mariah Fixen and Scott Staiger
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Detecting and Mitigating Cyberattacks Targeting Healthcare Transactions
Robert Cannistra, Josh Stroschein, and Yong Wang
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EFFECTIVENESS OF TRANSFER LEARNING ON MEDICAL IMAGE CLASSIFICATION USING CHEST-XRAY 14 DATASET
James Boit and David Zeng
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Factors influencing curriculum adoption in undergraduate cybersecurity programs
Todd Whittaker and Cherie Noteboom
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How Does the Visualization of Data Change how it is Interpreted?
Alexis VanderWilt and Cherie Noteboom
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Impact of Backward Design on 4th Grade Mathematics Students’ Understanding of Adding and Subtracting Whole Numbers
Andrew Fiegen and Kindra Schneider
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Impact of Social Networks on the Spread of Disease
Alexis VanderWilt, Mark Spanier, and Jeffrey S. Palmer
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INCORPORATING SEQUENTIAL FEATURE MAPS FEEDING INTO MULTIPLE PATHS
Rajesh Godasu, David Zeng, James Boit, and Seema Bhandari
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Measuring the Authenticity of Mixed-Reality Teaching Environments
Kevin Smith, Dan Klumper, and Andrew Fiegen
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Multi-path Sequential Fine-tuning of Pre-trained Models for Medical Image Classification Part I
David Zeng, James Boit, Rajesh Godasu, and Seema Bhandari
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Predicting Hospital Readmissions of Diabetic patients - A Machine Learning Approach
Giridhar Reddy Bojja and Omar El-Gayar
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Profiling Volatile Constituents of Homemade Preserved Foods Prepared in Early 1950s South Dakota (USA) Using Solid-Phase Microextraction (SPME) with Gas Chromatography–Mass Spectrometry (GC-MS) Determination
Lucas Leinen, Vaille Swenson, Hope Juntunen, Scott McKay, Samantha O'Hanlon, Patrick Videau, and Michael Gaylor
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Profiling Volatile Emissions from Sewage Sludge Land-Applied Across Washington State (USA) Using Headspace Sampling with Gas Chromatography-Mass Spectrometry (GC-MS) Determination
Kaytlyn Schaefer, Lucas Leinen, Vaille Swenson, Bailey Moody, Hope Juntunen, Scott McKay, Silvia Beurmann, Samantha O'Hanlon, Richard Honour, Robert Hale, Patrick Videau, and Michael Gaylor
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SMART AGRICULTURE BEYOND INDUSTRY: ANALYZING THE FUTURE OF AGRICULTURE THROUGH SOCIAL MEDIA INSIGHTS
Martinson Ofori and Omar El-Gayar
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The Impact of the Minimum Leverage Ratio on South Dakota Community Banks
Yen-Ling Chang and Daniel Talley
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Understanding the Influence of Digital Divide and Socio-Economic Factors on the Prevalence of Diabetes
Loknath Sai Ambati, Omar El-Gayar, and Nevine Nawar
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Using Minecraft Education Edition to Teach Cybersecurity Self-Defense
Jacob Geary, Tatum Ronke, and Mark Geary
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Improving Survey Methods to Better Detect Rare Grassland Birds in South Dakota
Kassy Hendricks, Kristel K. Bakker, and Chuck Dieter
- Breeding Bird Survey (BBS) data for grassland bird populations has shown the most rapid decline of any 0ther bird group due to the continual loss and fragmentation of grassland habitat (Sauer et al. 2013, Askins et al. 2007).
- Roadside surveys such as BBS may be providing inaccurate assessments of population trends.
- Some grassland birds occur on few BBS routes, occur in low numbers per route, or show high year-to-year fluctuations in number (Dale et al. 2005).
- Some species may exhibit an apparent aversion to or are attracted to roadsides. (Wellicome et al. 2014).
- Habitat near roads may not be representative of the region (Niemuth et al. 2007).
- State BBS trend data is classified as having low credibility for rare grassland birds due to small sample size, low abundance, or imprecise results suggesting that improvements to methodology are necessary.
The annual Research Symposium at DSU is an opportunity for faculty and students to challenge each other to ask better questions, embed them in excellent research design, share compelling findings, and renew this process with persistent curiosity.
The Symposium hosts a diverse cross-section of ongoing undergraduate and graduate research happening at DSU, and often includes supplementary programming such as guest speakers and demonstrations.
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