To elucidate the importance of nematode infaunal migration in determining small-scale temporal and spatial heterogeneity and the role of organic matter deposits in this process in the deep sea, this study combined measurements of nematode colonisation and food-uptake.
To begin to unravel the traits that allow Leptoseris spp. to exploit deep habitats, this study uses molecular genetic techniques to examine the interaction between endosymbiotic dinoflagellates in the genus Symbiodinium and mesophotic corals in the genus Leptoseris.
By applying the DGE deep sequencing, this study investigated the transcriptome profile of resynthesized B. napus and its diploid progenitors, as well as natural B. napus, with an aim to illustrate the gene expression differences during polyploidization.
These differences were more pronounced amongst the deeper species in this study, i.e. for E. rostrata and S. variabilis, 25.1% and 30.3% of records respectively were found to be undersaturated in Orr et al. [23] compared with 11.2% and 11.1% in Steinacher et al. [21].
The stress regime around the deepest foci of this study, estimated by the focal mechanisms, is lateral compression parallel to WNW-ESE, nearly parallel to the direction of the maximum dip of the slab.
We did not measure the life shortening effect of continuous deep sedation in this study.
Using deep sequencing technology, this study has produced a gonad transcriptome of A. suum.
The deep sequencing of this study allowed us to examine differential expression of inferred transcripts and shed light on their functions due to the association of the gene expression with molecular function.
Inspired by the recent successes of deep transfer learning, in this study, we propose a deep transfer learning framework for automatic ICD-9 coding.
However, there are many scientific and practical reasons for deeper exploring it in this study.
