Royal Horse Artillery
In: Journal of the Royal United Service Institution, Band 41, Heft 234, S. 913-918
ISSN: 1744-0378
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In: Journal of the Royal United Service Institution, Band 41, Heft 234, S. 913-918
ISSN: 1744-0378
In: Wildlife research, Band 34, Heft 5, S. 379
ISSN: 1448-5494, 1035-3712
This study investigated the use of the grass-tree, Xanthorrhoea semiplana F.Muell. (family Xanthorrhoeaceae), for shelter by Rattus fuscipes (southern bush rat) in South Australia. Eight bush rats were radio-tracked for 4–8 days each. To identify the understorey shelters available to each animal, surveys were conducted using point-intercept sampling at 2-m intervals along transect lines. Grass-tree density was calculated in each area used by the radio-tracked animals, and canopy thickness of grass-trees selected for refuge was assigned a score; the availability of other potential shelters was also calculated. The results indicated that (1) R. fuscipes preferentially selected grass-trees over other understorey shelter; (2) the grass-trees chosen had thick canopy covers; (3) areas with high grass-tree densities were preferred for cover over areas with fewer grass-trees; and (4) grass-trees provided dense cover and, therefore, concealed burrows and nest sites.
For a decade, The Cancer Genome Atlas (TCGA) program collected clinicopathologic annotation data along with multi-platform molecular profiles of more than 11,000 human tumors across 33 different cancer types. TCGA clinical data contain key features representing the democratized nature of the data collection process. To ensure proper use of this large clinical dataset associated with genomic features, we developed a standardized dataset named the TCGA Pan-Cancer Clinical Data Resource (TCGA-CDR), which includes four major clinical outcome endpoints. In addition to detailing major challenges and statistical limitations encountered during the effort of integrating the acquired clinical data, we present a summary that includes endpoint usage recommendations for each cancer type. These TCGA-CDR findings appear to be consistent with cancer genomics studies independent of the TCGA effort and provide opportunities for investigating cancer biology using clinical correlates at an unprecedented scale. Analysis of clinicopathologic annotations for over 11,000 cancer patients in the TCGA program leads to the generation of TCGA Clinical Data Resource, which provides recommendations of clinical outcome endpoint usage for 33 cancer types.
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