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Design teams will perform market analysis and explore the intellectual property space around their ideas and rapidly iterate them into a final prototype via digital manufacturing (e.g., 3D CAD files manifested via robotic printing or machining); advanced instruction on these tools will be given, and quantitative marketing will be used as feedback.

In this paper, we take into account the dependency among the leakage, the temperature, and the supply voltage in our theoretical analysis and explore the fundamental characteristics on how to employ dynamic voltage scaling (DVS) to reduce the peak operating temperature.

During the subsequent discussion we hope to draw connections between these two seemingly disparate sites of analysis and explore the boundaries of the frontiers of the nineteenth and early twentieth century.

It is therefore of great interest to design a new method combining a tag-based technique such as LongSAGE with a high throughput sequencing technology in order to perform deep transcriptome analysis and explore the large complexity of the transcriptome.

We also demonstrate the utility of the Asclepias data for phylogenomic analysis and explore the utility of the probes for Hyb-Seq in another genus of the same subtribe, Calotropis R. Br. (Asclepiadineae), and a more distantly related genus, Matelea Aubl.

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Authors should also consider the possibility of abstaining from meta-analysis and explore the reasons for the heterogeneity instead, and we identified several reviews where this might have been better.

This talk reviews emerging big data sources for social scientific analysis and explores the challenges these present.

This study further examined the association between selected maternal occupations and a variety of birth defects identified from prior analysis and explored the effect of work hours and number of jobs held and potential interaction between folic acid and occupation.

The RAPID framework was useful in supporting our analysis and exploring the multiple overlaps between the different analytical categories.

The findings of the study will help in developing new technologies and tools for computational analysis and exploring the relationship between disease and changes in the human microbiome.

The impact of imputation was assessed by examining imputed and non-imputed values, comparing with a complete-case analysis, and exploring the sensitivity of imputation models.

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