This suggests that M. rubrum is a very competitive bloom species in Dapeng’ao cove, and when there is a suitable physical regime with enriched nutrients,
the risk of a M. rubrum bloom will increase and harm the aquaculture industry in Daya Bay. “
“The special article “Assessment scales for disorders of consciousness: Evidence-based recommendations for clinical practice and research” was published in the December 2010 issue of the Archives of Physical Medicine and Rehabilitation (91:1795-1813). In January 2011, the American Congress of Rehabilitation Medicine received word that “The American Academy of Neurology affirms the value of this manuscript. “
“Much recent computational work in psycholinguistics has called upon RO4929097 datasheet insights from information theory to bridge between psycholinguistic experiments and statistical models of language. Jaeger (2010), for example, argues that information-theoretic considerations can explain speakers’ structural choices in sentence Selleckchem Veliparib production. Likewise, in sentence comprehension, each word conveys a certain amount of information
and – to the extent that language comprehension is information processing – this amount should be predictive of how much cognitive effort is required to process the word (Hale, 2006 and Levy, 2008). The amount of information conveyed by a word (or word information for short) can be computed from probabilistic models of the language, whereas the amount Lonafarnib research buy of cognitive effort involved in processing a word can be observed, for example by measuring word reading times. Comparisons between word-information
values and reading times have indeed revealed that more informative words take longer to read (e.g., Frank, 2013 and Smith and Levy, 2013). Studies that investigate how word information relates to reading time are not necessarily concerned with explaining any particular psycholinguistic phenomenon. Rather, they tend to apply large-scale regression analyses to uncover the general relation between quantitative predictions and reading times on each word of a text corpus. In the current paper, we apply such a parametric (non-factorial) experimental design to investigate the effect of word information on the ERP response during sentence reading. That is, we bridge between computational, probabilistic models of language processing and the neural computations involved in sentence comprehension. The rapid serial visual presentation procedure that is typical for EEG reading studies (and was also applied in our experiment) enforces that all words are read in strictly serial order. Hence, the comprehension process for a k -word sentence can be assumed to comprise a sequence of comprehension events for k words: w1,w2,…,wkw1,w2,…,wk, or w1…kw1…k for short. The different measures of information that have been put forth as cognitively relevant to sentence processing are all rooted in a probabilistic formalization of such word-by-word comprehension.