A crucial task in the study of space weather is to predict and estimate the risk from GICs.
Community detection is a key task in the study of large networks, which has recently become a very important area of research [1 3].
Identifying genes that are differentially spliced between two groups of RNA-sequencing samples is an important basic task in the study of transcriptomes with next-generation sequencing technology.
Therefore, the characterization of self-adjoint (J-self-adjoint) extensions of a differential expression is a primary task in the study of its spectral problems; and the classical von Neumann self-adjoint extension theory and the Glazman-Krein-Naimark (GKN) theory for symmetric operators were established [9, 10].
Given that each web-site may present different knowledge systems (hence different ontologies), the construction of a common upper ontology for all ontological systems then become a foundational task in the study of ontology (e.g. SUMO, Niles and Pease 2001, DOLCE, Gangemi et al. 2003, and BFO, Smith and Grenon 2004).
Linking variation in quantitative traits to variation in the genome is an important, but challenging task in the study of life-history evolution.
Hence, while STG activation reflecting auditory (word) processing was equal for spelling and control task in the present study such activation was presumably reduced for the control task (relative to the spelling task) in the study of Rapp and Lipka.
Finding differentially expressed genes among different cancer tissues and cell lines and identifying gene expression signatures for each of them is a frequent task in the study of human gene expression using microarrays [ 11, 18, 19].
Here we test the idea that the learning of fast motor sequences, a commonly-used task in the study of skill learning, causes the development of more distinct cortical activation patterns associated with each individual sequence, independent of average activity changes.
