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cDNA clones for four different N-methyl-D-aspartate (NMDA) receptor subunits (NMDAR2A-NMDAR2D) were isolated through polymerase chain reactions followed by molecular screening of a rat brain cDNA library. These subunits are only about 15% identical with the key subunit of the NMDA receptor (NMDAR1) but are highly homologous (approximately 50% homology) with(More)
The N-methyl-D-aspartate (NMDA) receptor plays an important role in glutamate-mediated neuronal plasticity and neurotoxicity in the central nervous system. This receptor is composed of a fundamental subunit (NMDAR1) and its potentiating subunits (NMDAR2A-NMDAR2D). The NMDA receptor is distinct from other glutamate receptor channels because of its high Ca2+(More)
This paper proposes a method for detecting temporal changes of the three-dimensional structure of an outdoor scene from its multi-view images captured at two separate times. For the images, we consider those captured by a camera mounted on a vehicle running in a city street. The method estimates scene structures probabilistically, not deterministically, and(More)
Automated visual analysis is an effective method for understanding changes in natural phenomena over massive city-scale landscapes. However, the viewpoint spectrum across which image data can be acquired is extremely wide, ranging from macro-level overhead (aerial) images spanning several kilometers to micro-level front-parallel (street-view) images that(More)
Human activity recognition by wearable sensors will enable a next-generation human-oriented ubiquitous computing. However, most of the existing research on human activity recognition is based on a small number of subjects, and lab-created-data. To overcome this problem, we hold HASC Challenge as a technical challenge to collect the data for activity(More)