Applying innovative educational principles when classes grow and resources are limited

Minimizing Uncertainty in Semantic Identification When Computing Resources Are Limited

In this paper we examine the problem of automatic semantic identification of entities in multimedia documents from a computing point of view. Specifically, we identify as main points to consider the storage of the required knowledge and the computational complexity of the handling of the knowledge as well as of the actual identification process. In order to tackle the above we utilize (i) a spa...

Antibiotic stewardship: the "real world" when resources are limited.

Cost estimation when time and resources are limited: the Brief DATCAP.

The Drug Abuse Treatment Cost Analysis Program (DATCAP) was designed in the early 1990s as a research guide to collect and analyze financial data from addiction treatment programs. The addiction research community could clearly benefit from a version of the DATCAP that reduced the time and effort required for its administration without compromising the integrity of its cost estimates. This pape...

Applying Ontologies to Educational Resources Retrieval driven by Cultural Aspects

This work presents the architecture used in the ongoing e-learning EduCa Project. The approach is based in a strong use of ontologies for the retrieval, management and clustered of electronic educational resources according to user’s cultural aspects. Cultural aspects are preferences and ways of behavior determined by the person’s culture. In this project, the cultural aspects are just the feat...

When Does Lack of Resources Make New Firms Innovative?

We extend the resource-based perspective to explain innovation in new firms that have yet to develop resources. Using data on firms’ efforts to commercialize technological inventions, we tested a model of the environmental conditions under which new firms’ lack of resources alternately promotes or constrains innovation. We found that new firm innovation is greater in competitive and small marke...