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The details are recorded in a database to avoid duplication and to stop profiteers from stockpiling and reselling the bulbs.
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*The subset of data used was selected by using a cutoff of at least 3 records in the database to avoid making inference about host orders or virus families, for which we had very little information.
An additional check was performed after entering the data in the database, to avoid inconsistencies due to any mistakes in the data input.
At the global scale, the analysis of the yield gap is either based on comparing crop growth models with actual yields as reported in statistics [ 57] or based on empirical techniques that compare highest achieved yields with actual yields reported in the same database to avoid bias due to the use of multiple, inconsistent data sources [ 53,54].
This was crosschecked with the airway database to avoid misclassification of patients in whom cardiac arrest was misdiagnosed on the intubation note in the airway database; for example, situations in which a "code blue" response was called to summon rapid assistance for a deteriorating patient who was not in full cardiopulmonary arrest.
In the present study we chose the CNKI database as the database to avoid selection bias.
First, all the mRNAs used in the present study have prior biological information annotated in the UCSC and NCBI databases to avoid reference genome errors as much as possible.
The resulting siRNA sequence was BLAST searched against known genes sequences in all available databases to avoid complementary paring with any known ion channel sequences.
Similarly, when previous research turns out to be erroneous, it should be stated clearly in databases to avoid confusion.
All the primers were subjected to BLAST search both in the human genome and the transcriptome databases to avoid amplification of nonspecific genomic or RNA sequences including pseudogenes and their RNA products.
More specifically, for fact-dimension tables, PathCase-SB caches all small dimension tables (e.g., reaction participant roles) in the database subschemas to avoid multiple disk-based joins with the fact table (e.g., reaction participants) in that subschema.
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