The developed methodology is widely applicable and can be used to simultaneously obtain reliable, cost-effective and continuous estimates of SSC, POC and PN with a single sensor.
It is known that the MU-MIMO system can serve multiple users simultaneously with reliable communications and that it can provide higher data rates than the point-to-point MIMO system owing to multiuser diversity [1 3].
Thus, efforts were devoted to developing miniaturized diagnostic systems based on microfluidic platforms or nanomaterials for pathogen detection and analysis that circumvent the necessity of sophisticated infrastructure and sample preparation procedures, paving the way for a faster diagnosis with reduced implementation costs, while simultaneously providing reliable epidemiological data [8 14].
For such targets, assessment of SNPs and multisite variations (MSVs) - comprehensively called single nucleotide variations (SNVs) - simultaneously with reliable CN estimation is extraordinarily challenging.
If, however, the toxic effect is the result of several different mechanisms working sequentially or simultaneously, then reliable prediction is still difficult at present (Knudsen et al. 2015).
A key issue in developing this database was to provide the hepatologic community with a powerful but simultaneously highly reliable and comprehensive database to perform systems biology based high-throughput searches and comparison of gene expression, our database was linked to multiple other sources of genomic or genetic information and gene expression information in particular.
Geithner et al must simultaneously produce a reliable accounting of bank balance sheets while simultaneously doing all within their honest powers to preserve and promote confidence in the banking system and the economy.
Frequently, what is needed, or at least wanted, are sensors that are simultaneously cheap, fast, reliable, selective, sensitive, robust, and easy to use.
A fluorescent multiprobe PCR assay was designed specifically and validated to genotype both SNP simultaneously in a reliable and cost-effective manner.
This procedure allows using sufficiently large training sets while simultaneously obtaining a reliable estimation of classification accuracy.
