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Most Recent Additions*

Predicting Kidney Stone Disease Through Models and Machine Learning
Ally Atkins

Investigating the environmental effects on the evolution of galaxies in groups and clusters
Srihari Balaji

Feasibility of an in-home remote exercise intervention for older adults with mild cognitive impairment during the COVID-19 pandemic: a pilot study
Claudia Dalterio

Predicting Incoming Union College Class Profiles using Machine Learning
Jason D'Amico

Applications of Metal Nanoparticles and Comparison of Nanosheets with Gold and Nanosheets without Gold using Atomic Force Microscopy
Jana Davis

Remote administered in-home interactive Physical and Cognitive Exercise Study (iPACES v2.8) for youth on the Autism Spectrum: A feasibility pilot
IreLee Ferguson

Applications of Chaotic Oscillators for MIMO Radar/Ladar systems
Meesha Gupta

Optical Investigations of the Cataclysmic Variable Stars HP Lib and NY Lup
Christos Kakogiannis

Biomarker and cognitive improvements for MCI patients after neuro-exergaming: Pedal and play for brain health (iPACES v2.5 and 2.75)
Kartik Nath

Modeling of Incident Radiation on a Solar Collector at Different Tilt Angles
Matthew Rueter

Design of Collection Systems and Semi-Autonomous Controls for a Tick Collection Robot
Christopher Simmons

Two Major and Compounding Crises in the US Examined: COVID-19 and Racial Injustice
Jenna Smith

Thermal Modelling of Aerogel-Based Washcoats for Three-Way Catalytic Conversion: Effects of Washcoat Composition and Thickness on Light-Off Time
Allison Stanec

Developing a Computational Model to Diagnose Patients with Dementia
Christina Vu

Theatre Accessibility
Evan Warren

Group Theoretic Matrix Multiplication
Jingyu Yao

Real-Time Hand Tracking Virtual Reality Interface
Zhang Lu

Flournoy, John Manly

*Updated as of 08/12/20.