I Love My Wife But Oh! Her Family

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Anywhere

https://digitalcommons.library.umaine.edu/mmb-vp/1052/thumbnail.jp

Lubrication

Discussion GroupSuggested Topics: Introduction Plant Wide Maintenance and Problems Effective Maintenance Programs Best Practices Oil Varnish Oil / Grease Type and Selection Testing and Maintenance Including Frequency Mixing and Compatibility Lubrication Systems and Auxiliaries API 614 Systems Oil Mist Systems Grease System

A GIS-driven integrated real-time surveillance pilot system for national West Nile virus dead bird surveillance in Canada

BACKGROUND: An extensive West Nile virus surveillance program of dead birds, mosquitoes, horses, and human infection has been launched as a result of West Nile virus first being reported in Canada in 2001. Some desktop and web GIS have been applied to West Nile virus dead bird surveillance. There have been urgent needs for a comprehensive GIS services and real-time surveillance. RESULTS: A pilot system was developed to integrate real-time surveillance, real-time GIS, and Open GIS technology in order to enhance West Nile virus dead bird surveillance in Canada. Driven and linked by the newly developed real-time web GIS technology, this integrated real-time surveillance system includes conventional real-time web-based surveillance components, integrated real-time GIS components, and integrated Open GIS components. The pilot system identified the major GIS functions and capacities that may be important to public health surveillance. The six web GIS clients provide a wide range of GIS tools for public health surveillance. The pilot system has been serving Canadian national West Nile virus dead bird surveillance since 2005 and is adaptable to serve other disease surveillance. CONCLUSION: This pilot system has streamlined, enriched and enhanced national West Nile virus dead bird surveillance in Canada, improved productivity, and reduced operation cost. Its real-time GIS technology, static map technology, WMS integration, and its integration with non-GIS real-time surveillance system made this pilot system unique in surveillance and public health GIS

Lubrication

Discussion Grou

Lubrication

Discussion GroupSuggested Topics: Introduction Plant Wide Maintenance and Problems Effective Maintenance Programs Best Practices Oil Varnish Oil / Grease Type and Selection Testing and Maintenance Including Frequency Mixing and Compatibility Lubrication Systems and Auxiliaries API 614 Systems Oil Mist Systems Grease System

Lubrication

Discussion Grou

Analysis and Control of Chain Mobility in Protein Hydrogels

Coiled-coil domains can direct the assembly of protein block copolymers into physically cross-linked, viscoelastic hydrogels. Here, we describe the use of fluorescence recovery after photobleaching (FRAP) to probe chain mobility in reversible hydrogels assembled from engineered proteins bearing terminal coiled-coil domains. We show that chain mobility can be related to the underlying dynamics of the coiled-coil domains by application of a three-state “hopping” model of chain migration. We further show that genetic programming allows the effective mobility of network chains to be varied 500-fold through modest changes in protein sequence. Destabilization of the coiled-coil domains by site-directed mutagenesis increases the effective diffusivity of probe chains. Conversely, probe mobility is reduced by expanding the hydrophobic surface area of the coiled-coil domains through introduction of the bulky leucine surrogate homoisoleucine. Predictions from the three-state model imply asymmetric sequential binding of the terminal domains. Brownian Dynamics simulations suggest that binding asymmetry is a general feature of reversible gels, arising from a loss in entropy as chains transition to a conformationally restricted bridged state

Lubrication

Discussion Grou

Scihadoop: Array-based query processing in hadoop.

ABSTRACT Hadoop has become the de facto platform for large-scale data analysis in commercial applications, and increasingly so in scientific applications. However, Hadoop's byte stream data model causes inefficiencies when used to process scientific data that is commonly stored in highly-structured, array-based binary file formats. This limits the scalability of Hadoop applications in science. We introduce SciHadoop, a Hadoop plugin allowing scientists to specify logical queries over array-based data models. SciHadoop executes queries as map/reduce programs defined over the logical data model. We describe the implementation of a SciHadoop prototype for NetCDF data sets, and quantify the performance of five separate optimizations that address the following goals for a representative holistic aggregate function query: reduce total data transfers, reduce remote reads, and reduce unnecessary reads. Two optimizations allow holistic functions to be evaluated opportunistically during the map phase; Two additional optimizations intelligently partition input data to increase read locality, and one optimization avoids block scans by examining the data dependencies of an executing query to prune input partitions. Experiments involving a holistic function show run-time improvements of up to 8x, with drastic reductions of I/O, both locally, and over the network