| We present an accurate model and procedures for predicting the common physical design characteristics of standard cell layouts (i.e., the interconnection length and the chip area). The predicted results are obtained from analysis of the net list only, that is, no prior knowledge of the functionality of the design is used. Random and optimized placements, global routing, and detailed routing a...

Managing scientific data requires tools that can track complex provenance information about digital resources and workflows. RDF triples are a convenient abstraction for combining independentlygenerated factual statements, including statements about provenance [1]. Harvesting is a strategy for asynchronously acquiring distributed information for the purposes of aggregation and analysis [2]. Har...

Quantitation of cell density in tissues has proven problematic over the years. The manual microscopic methodology, where an investigator visually samples multiple areas within slides of tissue sections, has long remained the basic 'standard' for many studies and for routine histopathologic reporting. Nevertheless, novel techniques that may provide a more standardized approach to quantitation of...

Data analysis in management applications often requires to handle data with a large number of variables. Therefore, dimensionality reduction represents a common and important step in the analysis of multivariate data by methods of both statistics and data mining. This paper gives an overview of robust dimensionality procedures, which are resistant against the presence of outlying measurements. ...

This paper compares the degree to which a model with endogenous debt constraints versus a standard incomplete markets model can explain the lack of risk sharing observed in cross-section micro data. The model with endogenous debt constraints does not restrict the menu of tradeable assets, but assumes that contracts can only be enforced by the threat of exclusion from credit markets upon default...