Sentence examples for customized sense from inspiring English sources

Because it runs a customized Sense build of Android, it's likely going to be a bit before we see the 2.2 version of that.

Take Google's Nexus One, stick HTC's customized Sense user interface on it, replace the trackball with a nifty optical trackpad – and bam! You've got the Desire.

"One of the things that anyone that writes an app or a piece of code that goes into an object can do is say 'I want this recognized and if you have definitions from these sources they take priority'," says Lynch, discussing how different services and users could implement and customize Sense to fit their world view.

Morsut, L. et al. Engineering customized cell sensing and response behaviors using synthetic notch receptors.

These proof-of-concept examples demonstrate the great potential for using biological logic circuits to customize cell sensing and signalling for many useful applications (Khalil and Collins, 2010; Wang and Buck, 2012; Weber and Fussenegger, 2012).

Customization: the game elements and feedback can be customized, thus promoting a sense of belonging to the "game" and to the community.

The shape of the graphene composite sponge can easily be arbitrarily customized in order to sense more accurately in practical applications.

Control siRNA (siGENOME Non-Targeting siRNA Pool #2, Thermo Scientific, Germany) and customized RGS5-targeting siRNA (sense: CCUGAAGUCUGAAUUCAGU, antisense: CCAUGAAUGUGGACUGGCA) was purchased from Sigma-Aldrich and used at a concentration of 100 nM.

A commercially available thin-layer flow-through amperometric detector, with the sensing block customized in an original design, was applied to the screening of drug compounds known as acetylcholinesterase (AChE) inhibitors.

This paper describes the use of a commercially available thin-layer flow through a detector with the sensing block customized in an original design for acetylcholinesterase (AChE) immobilization and suitable for inhibition studies by flow injection analysis (FI).

The model relies on geographic information systems (GIS), artificial neural network (ANN) routines, remote sensing, and customized geospatial tools and can be used to help understand what factors are most important to land-use change.