The results were not indicative of complete separation of microbiotas based on the host phenotypes (ANOSIM, P > 0.05 for all host traits) indicating that the groups divided by age, gender, skin humidity, and pigmentation did not include significantly different microbial compositions.
We proposed an 18-equation system dynamic mathematical model and showed that the model has significant potential to predict possible pathogenesis of sepsis based on the host's physiological conditions.
T cell infiltration is emerging as novel type of cancer biomarker based on the host immune response.
The classification is based on the host matrix composition of the core and the shell, or the distribution of dopant ions within the core and the shell.
In this paper, a new approach to infectious disease diagnosis is explored based on the host gene expression of four selected mRNA markers predicting infectious disease severity [ 1– 4].
In the case of the endosymbiotic interactions between legumes and either glomeromycetes or rhizobia, research in many laboratories has to a large extent identified the genetic bases of the host mechanisms involved in the perception of fungal and bacterial signals, leading to the characterization of a common transduction pathway, the CSSP [ 30, 31].
However, the existing mobile multicast schemes mostly focus on the mobility of receivers based on the host-based mobility solution that requires the MN to participate in the mobility management.
Until now, many approaches have been proposed, but a majority of them are based on the host-based mobility solution [1, 2], such as Mobile IPv6 (MIPv6) [3].
In this study, we designed a kind of photoresponsive hydrogel microsphere for three-dimensional (3D) cell culture, which is based on the host-guest interaction of β-cyclodextrin (β-CD) and Azobenzene.
In conclusion, we find that GIs and chromosomes have similar relative entropy (D KL), which may be due to amelioration of the foreign DNA towards the base composition of the host chromosome.
