The long and short AMPAR subunits appear to serve different functions in AMPAR surface expression, and a subunit-specific AMPAR trafficking model has been proposed to explain how LTP is expressed and maintained. To summarize, the forward trafficking characteristics of the long-tail GluR1 subunit...
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amount tuft cushion ream lining agglutination sliver rock accumulation solid piece heap stash fragment bulge drop strip bank pool build-up plate stick billet division stone moiety stack deposit parcel rod partition muck stave cutting board boulder ...
(notably render the inserts as new CartIds would be created. If you did not have any other table to update (which is probably not true as you probably would update the Cart table (for the total amount column or a last update date column), you would then do an implicit transaction and...
Since the number of retrievable images is often limited for each query, we combine the synonyms and further augment them with different parts of speech, aiming at retrieving a large amount of data. For example, "amuse- ment" is augmented with other word forms lik...
invention is equally applicable to CLOBs, BLOBs, large varchars or other datatypes. As used herein, CLOB refers to character large object which is a database field that holds a large amount of text or character data while BLOB (a synonym for LOB) refers to binary large object which is a...
we show that SynthID-Text provides improved detection performance while also preserving a greater amount of the underlying diversity within the LLM responses. We also show that SynthID-Text, similar to other generative watermarking schemes, has negligible computational impact in the context of a larg...
s network. Specifically when a user is trying to perform a zone transfer it sends a DNS query to list all DNS information like name servers, host names, MX and CNAME records, zone serial number, Time to live records etc. Due to the amount of information that can be obtained DNS zone ...
However, there exists a large amount of domain knowledge related to the observed diseases, and omitting this valuable information during modeling and training stages would clearly lead to suboptimal performance of any approach41. In this section we describe DiseaseAndGenes2Diseases (DAG2D), a ...