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Spatiotemporal Air Quality Analysis and Prediction in Franklin County, Ohio: A Google Earth Engine-Based GIS, Remote Sensing, and Machine Learning Approach
This study uses Google Earth Engine (GEE), remote sensing, and machine learning to analyze and predict air quality in Franklin County, Ohio. Satellite data from Sentinel-5P and MODIS were combined with ground-based measurements and meteorological data to map spatiotemporal patterns of pollutants like PM2.5 and NOâ‚‚. Machine learning models, including Random Forest, achieved high accuracy in predicting pollutant levels and identifying key factors such as traffic density and land use. The results revealed seasonal trends and pollution hotspots, offering actionable insights for air quality management and demonstrating the potential of GEE-based frameworks for scalable environmental monitoring
Don\u27t Let the Hate Distract You: Anti-LGBTQ+ Attacks as a Tool of Campaign Disinformation
A study of under what conditions anti-LGBTQ+ disinformation occurs during campaigns, the financial make ups of these races, and how understanding anti-LGBTQ+ attacks as disinformation can further our understanding of the modern political arena
Understanding metabolic impacts of light pollution on a free-living sparrow
Our study aims to understand whether nighttime activity patterns and oxalic acid levels in birds are affected by light pollution
Great Bend Solar Project
Productivity forecast based on weather and required acceleration to meet schedule
Recovery of S8 on Nonlinear Scales
In this project, I am evaluating how accurately we can determine the properties of dark energy and cosmic structure growth from mock measurements of the distribution of galaxies, in order to test how this analysis method will perform on real data from the Dark Energy Spectroscopic Instrument (DESI)
Examining Alexithymia and Negative Emotion Differentiation as Correlates of Depressive Symptoms
This project aims to determine if the similar yet distinct constructs of alexithymia or negative emotion differentiation are more strongly correlated with depressive symptoms to inform interventions for depression
Cannabidiol as a Potential Sunscreen Additive: Narrative Review
Cannabidiol (CBD), a non-psychoactive phytocannabinoid from Cannabis sativa, has demonstrated antioxidant, anti-inflammatory, and cytoprotective properties, making it a promising candidate as a sunscreen additive
May 5, 2025 - Passed - PRC - Resolution for Changing Faculty Handbook Language on Appeals of Faculty File Contents
Fear as a Political Tool: How Disinformation and Conspiracies Impact American Politics
By comparing the disinformation spread by the Senate Leadership Fund in 2024 with conspiracies surrounding the AIDS virus in the 1980s, and analyzing how the Senate Leadership Fund and Donald Trump’s rhetoric in political advertisements can be toxic to a democracy, the larger impact of disinformation can be seen
School-Based Speech-Language Pathologists\u27 Perspectives on Neurodiversity and Neurodiversity-Affirming Practice
The goal of this study is to gather current school-based SLPs\u27 understanding of the neurodiversity paradigm and whether or how they are implementing neuro-affirming tenets into their practice