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Christina De Cesaris's Projects

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Analysis of the factors which caused or reduced highway fatalities across US in 2018.

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Arbovirus Modeling and Prediction to Forecast Mosquito-Borne Disease Outbreaks

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Investigates the relationship between smoking and alcohol use on beta-carotene and retinol concentrations in blood plasma.

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Explores the relationship between population demographics, various crime rates, and shall carry gun laws across different regions of the United States between 1977-1999 using a propensity weighted mixed linear effects model.

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A look into at the relationship between population density in California Counties and COVID rates, for a pre-determined time period after COVID became pervasive in California.

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CS32 Projects and Homeworks

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Machine Learning Problem Sets Winter 2020

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Database for human gait analysis consisting of continues recordings of combined activities, such as walking, running, taking stairs up and down, sitting down, and so on; and the data recorded are segmented and annotated. Data were collected from a body sensor network consisting of six wearable inertial sensors (accelerometer and gyroscope) located on the right and left thighs, shins, and feet. Additionally, two EMG sensors were used on the quadriceps (front thigh) to measure muscle activity.

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Logistic regression analysis performed on a complex dataset of mushroom profiles with the goal of determining the characteristics which make a mushroom edible or inedible to humans.

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Multinomial logistic regression modeling used to determine influential factors in nicotine usage status

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RShiny Physics classroom learning tool. An interactive, graphical program which relates position, velocity, and acceleration graphically as a function of time using initial values input by the user.

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Machine Learning Modeling Approach to Analyze Standardized Agricultural Survey Data Collected in 21 Countries to determine factors influencing individual Market Orientation (MO) and Percent Poverty Index (PPI).

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