Diana Diaz

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—Information Retrieval (IR) techniques have gained widespread acceptance as a method for automating traceabil-ity recovery. These techniques recover links between software artifacts based on their textual similarity, i.e., the higher the similarity, the higher the likelihood that there is a link between the two artifacts. A common problem with all IR-based(More)
With the explosion of high-throughput data, an effective integrative analysis is needed to decipher the knowledge accumulated in multiple studies. However, batch effects, patient heterogeneity, and disease complexity all complicate the integration of data from different sources. Here we introduce TOMAS, a novel meta-analysis framework that transforms the(More)
We describe the series of iterative steps used to develop a smoking relapse-prevention intervention customized to the needs of cancer patients. Informed by relevant literature and a series of preliminary studies, an educational tool (DVD) was developed to target the unique smoking relapse risk factors among cancer patients. Learner verification interviews(More)
— This paper presents a study designed to understand the effect of using a talking head in academic videos frequently used in video-based learning approaches, such Massive Open Online Courses. The experiment consisted of exposing participants to videos about different types of open software licenses. Each participant was exposed to 3 videos, each with a(More)
In presenting this thesis as a partial fulfillment of the requirements for an advanced degree from Emory University, I hereby grant to Emory University and its agents the non-exclusive license to archive, make accessible, and display my Thesis in whole or in part in all forms of media, now or hereafter known, including display on the world wide web. I(More)
Cigarette smoking is associated with a range of cancers and is related to five of seven leading causes of death in Puerto Rico. Minimal self-help interventions have shown promising results in reaching participants and preventing relapse from smoking. Specifically, a collection of eight self-help booklets has demonstrated efficacy (Brandon et al., 2000;(More)
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