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Comparison of the nucleotide and amino acid sequences with Genebank databases demonstrated that the beta toxin of C. haemolyticum exhibits high homology with other bacterial PLPCs.
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Experimental results using ground-based cloud databases demonstrate that the proposed method can achieve better results than the current methods.
The experimental results on six face recognition databases and two object recognition databases demonstrate that the proposed methods outperform the competitors used in the experiments.
Experiments on the MNIST and CIFAR-10 databases demonstrate that the proposed approaches are comparable with state-of-the-art deep learning architectures in the literature.
Extensive experiments performed on three types of palmprint databases demonstrate that the proposed approach has excellent performance in comparison with previously proposed state-of-the-art approaches.
Experimental results on various public face databases demonstrate that the proposed algorithm provides a better feature representation for classification and achieves higher recognition rates compared with several state-of-the-art algorithms.
Experiments on public databases demonstrate that the proposed method achieves promising performance in evaluating traditional distortions, and it outperforms the existing metrics when used for quality evaluation of color-distorted images.
Search in the GenBank database demonstrated that the SacB gene was present only in the genome of the carriage N. menigitidis strain alpha275 (Genbank AM889138), but not in pathogenic strains.
Validation against the Trent clinical database demonstrated that the algorithm was 95% sensitive and 93% specific in detecting treatment and 100% sensitive and 93% specific for detecting treatment outcome.
Additionally, other recent papers analysing data from the National Taiwan Insurance database demonstrated that the odds ratio (OR) of prior chronic rhino-sinusitis (CRS) for subjects with NPC is 3.83 [95% confidence interval (CI) 3.23 4.53] compared with controls after adjusting for income, urbanization, geographic location, tobacco use, and alcohol abuse/dependence syndrome [ 22– 22].
Analysis of the wheat DNA sequences available in databases demonstrated that Fatima elements are present in all the three genomes (A, B, and D) of common wheat.
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CEO of Professional Science Editing for Scientists @ prosciediting.com