Taken together, these findings had uncovered the cellular basis for mental representation: "I have maintained that the prefrontal neuron's capacity for sustained activation in the absence of external stimulation is the cellular basis of mental representation and the essential building block for information processing systems in the human brain.
Semiconductor quantum dots (QDs) obtained by epitaxial growth are attracting much interest because of their potential use as building blocks for quantum information processing and communication devices [1].
Single semiconductor quantum dots (QDs) are the building blocks for future information processing platforms, such as quantum cryptography and quantum computing [1 3].
The standard also includes provisions for specifying sensor metadata, both for existing and new sensors and can thus provide the necessary building blocks for acquiring contextual information about the sensors.
The abundant 3-D data, according to Mr. Waibel, could one day become the information building blocks for creating rich 3-D experiences — perhaps holograms that can be programmed according to a person's interests.
The fabrication of semiconductor quantum nanostructures based on self-assembly has deeply attracted the research community because of the interest in fundamental physics and the potential applications of these systems as building blocks for novel devices and quantum information technologies [1 3].
QDs are currently deeply investigated for their potentiality as building blocks for novel optoelectronic devices and for quantum information technologies.
Three stations dealt with LO foundational information used as building blocks for HO processing, and two stations dealt with HO integration built upon the LO foundation.
According to Bonissone (2012), a multi-criteria decision making process is followed in order to (1) create the model by pre-selecting the initial building blocks for the assembly and compiling their meta-information, which is an off-line phase, and (2) perform dynamic model assembly, where the best subset of models for a given query is selected on-line, i.e. during runtime.
Building blocks for all heme species are available in the Supporting Information.
