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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
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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