Maybe not for me

Compare Me Maybe: Crowd Entity Resolution Interfaces

We study the problem of enhancing entity resolution (ER) with the help of crowdsourcing. ER is the problem of identifying records that refer to the same real-world entity and can be an extremely difficult process for computer algorithms alone. For example, figuring out which images refer to the same person can be a hard task for computers, but an easy one for humans. An important component of c...

Crawl Me Maybe: Iterative Linked Dataset Preservation

The abundance of Linked Data being published, updated, and interlinked calls for strategies to preserve datasets in a scalable way. In this paper, we propose a system that iteratively crawls and captures the evolution of linked datasets based on flexible crawl definitions. The captured deltas of datasets are decomposed into two conceptual sets: evolution of (i)metadata and (ii)the actual data c...

Probiotics for antibiotic-associated diarrhea--maybe, maybe not!

duced the risk of severe necrotizing enterocolitis and mortality in preterm infants [5, 6] . The potential benefits and safety profile of probiotics for extremely low birth weight infants have not yet been determined. The treatment of gastrointestinal infections continues to be one of the main targets of probiotics use, aimed at the prevention of community-acquired diarrhea as well as an effect...

Selective stopping? Maybe not.

Selective stopping paradigms address selectivity in controlled behavior, as subjects stop certain responses or responses to certain stimuli. The literature has discussed 2 strategies for selective stopping. First, selective stopping may prolong the stop process by adding a discrimination stage (Independent Discriminate then Stop). Second, selective stopping may involve stopping nonselectively a...

Breast screening: the facts--or maybe not.