BACKGROUND We investigated the associations between traditional and environmentally preferable cleaning product exposure and dermal, respiratory, and musculoskeletal symptoms in a population of custodians. METHODS We analyzed associations between symptoms and exposure to traditional and environmentally preferable cleaning product exposure among 329 custodians. RESULTS We observed increased ...

We demonstrate XClean, a data cleaning system specifically geared towards cleaning XML data. XClean’s approach is based on a set of cleaning operators. Users may specify cleaning programs by combining operators using the declarative XClean/PL language, which is then compiled into XQuery. We plan to show XClean in action on several scenarios based on real-world data. A graphical user interface s...

The past efforts made on the corn cleaning dynamics were reviewed. Based on Discrete Element Method model, a simulation method for corn cleaning dynamics was then proposed, composing the following design factors: 1. 2-D discrete model and its related factors; 2. parities and magnitude of computation, consideration of the two factors upon application; 3. test platform design. The implementation ...

We demonstrate XClean, a data cleaning system specifically geared towards cleaning XML data. XClean’s approach is based on a set of cleaning operators. Users may specify cleaning programs by combining operators using the declarative XClean/PL language, which is then compiled into XQuery. We plan to show XClean in action on several scenarios based on real-world data. A graphical user interface s...

Analysts often clean dirty data iteratively–cleaning some data, executing the analysis, and then cleaning more data based on the results. We explore the iterative cleaning process in the context of statistical model training, which is an increasingly popular form of data analytics. We propose ActiveClean, which allows for progressive and iterative cleaning in statistical modeling problems while...