Medicine and Health Sciences Commons^™

Fertile Lands And Bodies: Connecting The Green Revolution, Pesticides, And Women’S Reproductive Health, Sarah M.K. Cycon

Pitzer Senior Theses

Environmentalists, social scientists, and economists have long critiqued the enduring impacts of the Green Revolution’s diffusion of agricultural technologies throughout the Global South. However, largely missing from the myriad analyses is the relationship between those technologies, namely pesticides, and health outcomes. This thesis explores the social and biological mechanisms through which excessive pesticide use culminated into adverse reproductive health outcomes for rural women in the Global South. Drawing together the history of the Green Revolution’s use of DDT, its social and economic impacts, and the biology of pesticide contamination in women’s bodies exposes how the Green Revolution situated women in …

Just Beautiful Portrays Of The Mind? The Relevance Of Aesthetic Strategies On Knowledge Creation In Neuroscience, Valerie Kummer

The STEAM Journal

We live in the age of big data. All types of data are being generated at an increasing rate but theories about the strategies and methods to visualize them is lagging. One of the main challenges we face today in research is to keep up with the massive amounts of data we produce (Allen, Elena A. et.al, 2012). Especially in the field of neuroscience and its use of imaging technologies, the vast array of data has risen to such a high number that it is impossible to grasp the inherent information without additional software tools and intelligent interfaces. Only through …

A Letter To The Steam Journal Readers, Deborah Freund

The STEAM Journal

A letter to the readers from the President of Claremont Graduate University, President Deborah Freund, welcoming the inaugural issue of 'The STEAM Journal'.

A Machine Learning Approach To Diagnosis Of Parkinson’S Disease, Sumaiya F. Hashmi

CMC Senior Theses

I will investigate applications of machine learning algorithms to medical data, adaptations of differences in data collection, and the use of ensemble techniques.

Focusing on the binary classification problem of Parkinson’s Disease (PD) diagnosis, I will apply machine learning algorithms to a primary dataset consisting of voice recordings from healthy and PD subjects. Specifically, I will use Artificial Neural Networks, Support Vector Machines, and an Ensemble Learning algorithm to reproduce results from [MS12] and [GM09].

Next, I will adapt a secondary regression dataset of PD recordings and combine it with the primary binary classification dataset, testing various techniques to consolidate …