U.S. chemical and biological defense respirators: an illustrated history
In: Schiffer military/aviation history
In: Schiffer military history
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In: Schiffer military/aviation history
In: Schiffer military history
In: A Spectrum book
In: The American journal of sociology, Band 83, Heft 4, S. 1051-1053
ISSN: 1537-5390
In: The American journal of sociology, Band 75, Heft 6, S. 1039-1041
ISSN: 1537-5390
In: The American journal of sociology, Band 74, Heft 6, S. 720-731
ISSN: 1537-5390
In: Marine corps gazette: the Marine Corps Association newsletter, Band 80, Heft 10, S. 33-34
ISSN: 0025-3170
In: American review of politics, Band 23, S. 93-121
ISSN: 1051-5054
The political landscape of the South traditionally has been dominated by the monolith of the Democratic Party. In the last decades of the 20th century, the political climate was reversed, with many southern states voting Republican, especially in national elections. This political shift is examined in the context of economic, social, & cultural shifts in the South, beginning in 1950, the end of V. O. Key's seminal work, & ending in 2000. This political shift is quantified with an adaptation of the Ranney Index of Party Competition. 9 Tables, 22 References. Adapted from the source document.
In: American review of politics, Band 23, Heft Spr/Sum, S. 93-122
ISSN: 1051-5054
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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