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  • 1
    Publication Date: 2012-08-28
    Description: There are two competing hypotheses for the origin of the Indo-European language family. The conventional view places the homeland in the Pontic steppes about 6000 years ago. An alternative hypothesis claims that the languages spread from Anatolia with the expansion of farming 8000 to 9500 years ago. We used Bayesian phylogeographic approaches, together with basic vocabulary data from 103 ancient and contemporary Indo-European languages, to explicitly model the expansion of the family and test these hypotheses. We found decisive support for an Anatolian origin over a steppe origin. Both the inferred timing and root location of the Indo-European language trees fit with an agricultural expansion from Anatolia beginning 8000 to 9500 years ago. These results highlight the critical role that phylogeographic inference can play in resolving debates about human prehistory.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4112997/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4112997/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Bouckaert, Remco -- Lemey, Philippe -- Dunn, Michael -- Greenhill, Simon J -- Alekseyenko, Alexander V -- Drummond, Alexei J -- Gray, Russell D -- Suchard, Marc A -- Atkinson, Quentin D -- 260864/European Research Council/International -- R01 GM086887/GM/NIGMS NIH HHS/ -- R01 HG006139/HG/NHGRI NIH HHS/ -- New York, N.Y. -- Science. 2012 Aug 24;337(6097):957-60. doi: 10.1126/science.1219669.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Computer Science, University of Auckland, Auckland 1142, New Zealand.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/22923579" target="_blank"〉PubMed〈/a〉
    Keywords: Agriculture/history ; Bayes Theorem ; *Cultural Evolution ; History, Ancient ; Humans ; Language/*history ; Linguistics/history ; Phylogeography ; Turkey ; Vocabulary
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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  • 2
    Publication Date: 2004-11-30
    Description: The widespread extinctions of large mammals at the end of the Pleistocene epoch have often been attributed to the depredations of humans; here we present genetic evidence that questions this assumption. We used ancient DNA and Bayesian techniques to reconstruct a detailed genetic history of bison throughout the late Pleistocene and Holocene epochs. Our analyses depict a large diverse population living throughout Beringia until around 37,000 years before the present, when the population's genetic diversity began to decline dramatically. The timing of this decline correlates with environmental changes associated with the onset of the last glacial cycle, whereas archaeological evidence does not support the presence of large populations of humans in Eastern Beringia until more than 15,000 years later.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Shapiro, Beth -- Drummond, Alexei J -- Rambaut, Andrew -- Wilson, Michael C -- Matheus, Paul E -- Sher, Andrei V -- Pybus, Oliver G -- Gilbert, M Thomas P -- Barnes, Ian -- Binladen, Jonas -- Willerslev, Eske -- Hansen, Anders J -- Baryshnikov, Gennady F -- Burns, James A -- Davydov, Sergei -- Driver, Jonathan C -- Froese, Duane G -- Harington, C Richard -- Keddie, Grant -- Kosintsev, Pavel -- Kunz, Michael L -- Martin, Larry D -- Stephenson, Robert O -- Storer, John -- Tedford, Richard -- Zimov, Sergei -- Cooper, Alan -- New York, N.Y. -- Science. 2004 Nov 26;306(5701):1561-5.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Henry Wellcome Ancient Biomolecules Centre, Oxford University, South Parks Road, Oxford OX13PS, UK.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/15567864" target="_blank"〉PubMed〈/a〉
    Keywords: Alaska ; Animals ; Bayes Theorem ; *Bison/classification/genetics ; Canada ; China ; *Climate ; DNA, Mitochondrial/genetics ; Environment ; *Fossils ; Genetic Variation ; Genetics, Population ; Human Activities ; Humans ; North America ; Phylogeny ; Population Dynamics ; Sequence Analysis, DNA ; Time
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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  • 3
    Publication Date: 2012-10-30
    Description: Pancreatic cancer is a highly lethal malignancy with few effective therapies. We performed exome sequencing and copy number analysis to define genomic aberrations in a prospectively accrued clinical cohort (n = 142) of early (stage I and II) sporadic pancreatic ductal adenocarcinoma. Detailed analysis of 99 informative tumours identified substantial heterogeneity with 2,016 non-silent mutations and 1,628 copy-number variations. We define 16 significantly mutated genes, reaffirming known mutations (KRAS, TP53, CDKN2A, SMAD4, MLL3, TGFBR2, ARID1A and SF3B1), and uncover novel mutated genes including additional genes involved in chromatin modification (EPC1 and ARID2), DNA damage repair (ATM) and other mechanisms (ZIM2, MAP2K4, NALCN, SLC16A4 and MAGEA6). Integrative analysis with in vitro functional data and animal models provided supportive evidence for potential roles for these genetic aberrations in carcinogenesis. Pathway-based analysis of recurrently mutated genes recapitulated clustering in core signalling pathways in pancreatic ductal adenocarcinoma, and identified new mutated genes in each pathway. We also identified frequent and diverse somatic aberrations in genes described traditionally as embryonic regulators of axon guidance, particularly SLIT/ROBO signalling, which was also evident in murine Sleeping Beauty transposon-mediated somatic mutagenesis models of pancreatic cancer, providing further supportive evidence for the potential involvement of axon guidance genes in pancreatic carcinogenesis.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3530898/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3530898/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Biankin, Andrew V -- Waddell, Nicola -- Kassahn, Karin S -- Gingras, Marie-Claude -- Muthuswamy, Lakshmi B -- Johns, Amber L -- Miller, David K -- Wilson, Peter J -- Patch, Ann-Marie -- Wu, Jianmin -- Chang, David K -- Cowley, Mark J -- Gardiner, Brooke B -- Song, Sarah -- Harliwong, Ivon -- Idrisoglu, Senel -- Nourse, Craig -- Nourbakhsh, Ehsan -- Manning, Suzanne -- Wani, Shivangi -- Gongora, Milena -- Pajic, Marina -- Scarlett, Christopher J -- Gill, Anthony J -- Pinho, Andreia V -- Rooman, Ilse -- Anderson, Matthew -- Holmes, Oliver -- Leonard, Conrad -- Taylor, Darrin -- Wood, Scott -- Xu, Qinying -- Nones, Katia -- Fink, J Lynn -- Christ, Angelika -- Bruxner, Tim -- Cloonan, Nicole -- Kolle, Gabriel -- Newell, Felicity -- Pinese, Mark -- Mead, R Scott -- Humphris, Jeremy L -- Kaplan, Warren -- Jones, Marc D -- Colvin, Emily K -- Nagrial, Adnan M -- Humphrey, Emily S -- Chou, Angela -- Chin, Venessa T -- Chantrill, Lorraine A -- Mawson, Amanda -- Samra, Jaswinder S -- Kench, James G -- Lovell, Jessica A -- Daly, Roger J -- Merrett, Neil D -- Toon, Christopher -- Epari, Krishna -- Nguyen, Nam Q -- Barbour, Andrew -- Zeps, Nikolajs -- Australian Pancreatic Cancer Genome Initiative -- Kakkar, Nipun -- Zhao, Fengmei -- Wu, Yuan Qing -- Wang, Min -- Muzny, Donna M -- Fisher, William E -- Brunicardi, F Charles -- Hodges, Sally E -- Reid, Jeffrey G -- Drummond, Jennifer -- Chang, Kyle -- Han, Yi -- Lewis, Lora R -- Dinh, Huyen -- Buhay, Christian J -- Beck, Timothy -- Timms, Lee -- Sam, Michelle -- Begley, Kimberly -- Brown, Andrew -- Pai, Deepa -- Panchal, Ami -- Buchner, Nicholas -- De Borja, Richard -- Denroche, Robert E -- Yung, Christina K -- Serra, Stefano -- Onetto, Nicole -- Mukhopadhyay, Debabrata -- Tsao, Ming-Sound -- Shaw, Patricia A -- Petersen, Gloria M -- Gallinger, Steven -- Hruban, Ralph H -- Maitra, Anirban -- Iacobuzio-Donahue, Christine A -- Schulick, Richard D -- Wolfgang, Christopher L -- Morgan, Richard A -- Lawlor, Rita T -- Capelli, Paola -- Corbo, Vincenzo -- Scardoni, Maria -- Tortora, Giampaolo -- Tempero, Margaret A -- Mann, Karen M -- Jenkins, Nancy A -- Perez-Mancera, Pedro A -- Adams, David J -- Largaespada, David A -- Wessels, Lodewyk F A -- Rust, Alistair G -- Stein, Lincoln D -- Tuveson, David A -- Copeland, Neal G -- Musgrove, Elizabeth A -- Scarpa, Aldo -- Eshleman, James R -- Hudson, Thomas J -- Sutherland, Robert L -- Wheeler, David A -- Pearson, John V -- McPherson, John D -- Gibbs, Richard A -- Grimmond, Sean M -- 13031/Cancer Research UK/United Kingdom -- 2P50CA101955/CA/NCI NIH HHS/ -- P01CA134292/CA/NCI NIH HHS/ -- P50 CA101955/CA/NCI NIH HHS/ -- P50 CA102701/CA/NCI NIH HHS/ -- P50CA062924/CA/NCI NIH HHS/ -- R01 CA097075/CA/NCI NIH HHS/ -- R01 CA97075/CA/NCI NIH HHS/ -- U54 HG003273/HG/NHGRI NIH HHS/ -- Cancer Research UK/United Kingdom -- Wellcome Trust/United Kingdom -- England -- Nature. 2012 Nov 15;491(7424):399-405. doi: 10.1038/nature11547. Epub 2012 Oct 24.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉The Kinghorn Cancer Centre, 370 Victoria Street, Darlinghurst, Sydney, New South Wales 2010, Australia.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/23103869" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; Axons/*metabolism ; Carcinoma, Pancreatic Ductal/*genetics/*pathology ; Gene Dosage ; Gene Expression Regulation, Neoplastic ; Genome/*genetics ; Humans ; Kaplan-Meier Estimate ; Mice ; Mutation ; Pancreatic Neoplasms/*genetics/*pathology ; Proteins/genetics ; Signal Transduction
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
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  • 4
    Publication Date: 2009-01-24
    Description: Debates about human prehistory often center on the role that population expansions play in shaping biological and cultural diversity. Hypotheses on the origin of the Austronesian settlers of the Pacific are divided between a recent "pulse-pause" expansion from Taiwan and an older "slow-boat" diffusion from Wallacea. We used lexical data and Bayesian phylogenetic methods to construct a phylogeny of 400 languages. In agreement with the pulse-pause scenario, the language trees place the Austronesian origin in Taiwan approximately 5230 years ago and reveal a series of settlement pauses and expansion pulses linked to technological and social innovations. These results are robust to assumptions about the rooting and calibration of the trees and demonstrate the combined power of linguistic scholarship, database technologies, and computational phylogenetic methods for resolving questions about human prehistory.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Gray, R D -- Drummond, A J -- Greenhill, S J -- New York, N.Y. -- Science. 2009 Jan 23;323(5913):479-83. doi: 10.1126/science.1166858.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Psychology, University of Auckland, Private Bag 92019, Auckland 1142, New Zealand.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/19164742" target="_blank"〉PubMed〈/a〉
    Keywords: Bayes Theorem ; Databases, Factual ; *Emigration and Immigration/history ; History, Ancient ; Humans ; *Language ; Linguistics ; *Oceanic Ancestry Group/history ; Pacific Islands ; Philippines ; Phylogeny ; Polynesia ; Population Dynamics ; Taiwan ; Vocabulary
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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  • 5
    Publication Date: 2019-07-13
    Description: A supersonic coaxial jet facility has been designed to provide experimental data suitable for the validation of CFD codes used to analyze high-speed propulsion flows. The center jet is of a light gas and the coflow jet is of air, and the mixing layer between them is compressible. Various methods have been employed in characterizing the jet flow field, including schlieren visualization, pitot, total temperature and gas sampling probe surveying, and RELIEF velocimetry. A Navier-Stokes code has been used to calculate the nozzle flow field and the results compared to the experiment.
    Keywords: Aircraft Design, Testing and Performance
    Type: AIAA Paper 99-3588 , 30th AIAA Fluid Dynamics Conference; Jun 28, 1999 - Jul 01, 1999; Norfolk, VA; United States
    Format: application/pdf
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  • 6
    Publication Date: 2019-07-11
    Description: The purpose of the present overview is to summarize the current knowledge of the NATO contributors. All the topics will be addressed in this chapter, with references and some examples. This background enhances the level of knowledge of the NATO scramjet community, which will be used for writing the specific chapters of the Report. Some previous overviews have been published on scramjet technology worldwide. NASA, DOD, the U.S. industry and global community have studied scramjet-powered hypersonic vehicles for over 40 years. Within the U.S. alone, NASA, DOD (DARPA, U.S. Navy and USAF), and industry have participated in hypersonic technology development. Over this time NASA Langley Research Center continuously studied hypersonic system design, aerothermodynamics, scramjet propulsion, propulsion-airframe integration, high temperature materials and structural architectures, and associated facilities, instrumentation and test methods. These modestly funded programs were substantially augmented during the National Aero-Space Plane (X-30) Program, which spent more than $3B between 1984 and 1995, and brought the DOD and other NASA Centers, universities and industry back into hypersonics. In addition, significant progress was achieved in all technologies required for hypersonic flight, and much of that technology was transferred into other programs, such as X-33, DC-X, X-37, X-43, etc. In addition, technology transfer impacted numerous other industries, including automotive, medical, sports and aerospace.
    Keywords: Aircraft Design, Testing and Performance
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  • 7
    Publication Date: 2019-07-11
    Description: At flight speeds, the residence time for atmospheric air ingested into a scramjet inlet and exiting from the engine nozzle is on the order of a millisecond. Therefore, fuel injected into the air must efficiently mix within tens of microseconds and react to release its energy in the combustor. The overall combustion process should be mixing controlled to provide a stable operating environment; in reality, however, combustion in the upstream portion of the combustor, particularly at higher Mach numbers, is kinetically controlled where ignition delay times are on the same order as the fluid scale. Both mixing and combustion time scales must be considered in a detailed study of mixing and reaction in a scramjet to understand the flow processes and to ultimately achieve a successful design. Although the geometric configuration of a scramjet is relatively simple compared to a turbomachinery design, the flow physics associated with the simultaneous injection of fuel from multiple injector configurations, and the mixing and combustion of that fuel downstream of the injectors is still quite complex. For this reason, many researchers have considered the more tractable problem of a spatially developing, primarily supersonic, chemically reacting mixing layer or jet that relaxes only the complexities introduced by engine geometry. All of the difficulties introduced by the fluid mechanics, combustion chemistry, and interactions between these phenomena can be retained in the reacting mixing layer, making it an ideal problem for the detailed study of supersonic reacting flow in a scramjet. With a good understanding of the physics of the scramjet internal flowfield, the designer can then return to the actual scramjet geometry with this knowledge and apply engineering design tools that more properly account for the complex physics. This approach will guide the discussion in the remainder of this section.
    Keywords: Aircraft Design, Testing and Performance
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