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9,027 result(s) for "Turner, W"
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Renegade : Henry Miller and the making of Tropic of Cancer
\"How Henry Miller, renegade and failed writer, came to understand what literary dynamite he had in him and, drawing on two centuries of New World history, folklore, and popular culture, sent his \"war whoop\" out over the roofs of the world\"-- Provided by publisher.
Rock blocks
Consider representation theory associated to symmetric groups, or to Hecke algebras in type A, or to $q$-Schur algebras, or to finite general linear groups in non-describing characteristic. Rock blocks are certain combinatorially defined blocks appearing in such a representation theory, first observed by R. Rouquier. Rock blocks are much more symmetric than general blocks, and every block is derived equivalent to a Rock block. Motivated by a theorem of J. Chuang and R. Kessar in the case of symmetric group blocks of abelian defect, the author pursues a structure theorem for these blocks.
The kid and me : a novel
\"In The Kid and Me, Frederick Turner deftly re-creates the Lincoln County War in what was then New Mexico Territory. The 1878 war pitted an established faction led by James Dolan against new arrivals in the county led by John Tunstall and Alexander McSween. When Tunstall and McSween opened a dry-goods store in 1876 in a direct challenge to Dolan's monopoly on the dry-goods business, trouble was inevitable. Both the Dolan and the Tunstall-McSween factions garnered supporters, including lawmen, criminal gangs, and ranch hands. The ambush and murder of Tunstall by a local sheriff's posse loyal to Dolan sparked a wave of revenge killings and bloody reprisals in which Billy the Kid--one of Tunstall's ranch hands--played a prominent role. Narrated by George Coe, an aged veteran of New Mexico's Lincoln County War but now a devout painter of village churches, The Kid and Me tells what it felt like to ride alongside Billy the Kid, whom Coe both admired and greatly feared. Gang loyalty, extreme violence, political corruption in the highest places, and profound moral ambiguity characterize this tale of what made the American West wild.\"-- Provided by publisher.
Nonhybrid, finished microbial genome assemblies from long-read SMRT sequencing data
Unlike hybrid approaches that use multiple libraries for de novo assembly, the hierarchical genome-assembly process uses data from only a single long-read SMRT sequencing library to produce high-quality finished microbial genome or BAC assemblies in an automated workflow. We present a hierarchical genome-assembly process (HGAP) for high-quality de novo microbial genome assemblies using only a single, long-insert shotgun DNA library in conjunction with Single Molecule, Real-Time (SMRT) DNA sequencing. Our method uses the longest reads as seeds to recruit all other reads for construction of highly accurate preassembled reads through a directed acyclic graph–based consensus procedure, which we follow with assembly using off-the-shelf long-read assemblers. In contrast to hybrid approaches, HGAP does not require highly accurate raw reads for error correction. We demonstrate efficient genome assembly for several microorganisms using as few as three SMRT Cell zero-mode waveguide arrays of sequencing and for BACs using just one SMRT Cell. Long repeat regions can be successfully resolved with this workflow. We also describe a consensus algorithm that incorporates SMRT sequencing primary quality values to produce de novo genome sequence exceeding 99.999% accuracy.
Inferred inflow forecast horizons guiding reservoir release decisions across the United States
Medium- to long-range forecasts often guide reservoir release decisions to support water management objectives, including mitigating flood and drought risks. While there is a burgeoning field of science targeted at improving forecast products and associated decision support models, data describing how and when forecasts are applied in practice remain undeveloped. This lack of knowledge may prevent hydrological modelers from developing accurate reservoir release schemes for large-scale, distributed hydrology models that are increasingly used to assess the vulnerabilities of large regions to hydrological stress. We address this issue by estimating seasonally varying, regulated inflow forecast horizons used in the operations of more than 300 dams throughout the conterminous United States (CONUS). For each dam, we take actual forward observed inflows (perfect foresight) as a proxy for forecasted flows available to the operator and then identify for each week of the year the forward horizon that best explains the release decisions taken. Resulting “horizon curves” specify for each dam the inferred inflow forecast horizon as a function of the week of the water year. These curves are analyzed for strength of evidence for contribution of medium- to long-range forecasts in decision making. We use random forest classification to estimate that approximately 80 % of large dams and reservoirs in the US (1553±50 out of 1927 dams with at least 10 Mm3 storage capacity) adopt medium- to long-range inflow forecasts to inform release decisions during at least part of the water year. Long-range forecast horizons (more than 6 weeks ahead) are detected in the operations of reservoirs located in high-elevation regions of the western US, where snowpack information likely guides the release. A simulation exercise conducted on four key western US reservoirs indicates that forecast-informed models of reservoir operations may outperform models that neglect the horizon curve – including during flood and drought conditions.
Comparison of potential drinking water source contamination across one hundred U.S. cities
Drinking water supplies of cities are exposed to potential contamination arising from land use and other anthropogenic activities in local and distal source watersheds. Because water quality sampling surveys are often piecemeal, regionally inconsistent, and incomplete with respect to unregulated contaminants, the United States lacks a detailed comparison of potential source water contamination across all of its large cities. Here we combine national-scale geospatial datasets with hydrologic simulations to compute two metrics representing potential contamination of water supplies from point and nonpoint sources for over a hundred U.S. cities. We reveal enormous diversity in anthropogenic activities across watersheds with corresponding disparities in the potential contamination of drinking water supplies to cities. Approximately 5% of large cities rely on water that is composed primarily of runoff from non-pristine lands (e.g., agriculture, residential, industrial), while four-fifths of all large cities that withdraw surface water are exposed to treated wastewater in their supplies. In the U.S. today nearly no surface waters are drinkable without treatment. Here, the authors demonstrate that four-fifths of cities that withdraw surface water are supplying water that includes a portion of treated wastewater, concentrated in the Midwest, the South, and Texas.
J.M.W. Turner
J.M.W. Turner (1775-1851) is arguably Britain's greatest painter. An extraordinary and prolific artist of incredible range, his pioneering explorations in oils and watercolours, his innovative use of colour and the proliferation of his work through print media enabled him to forge a stellar reputation in his own time. Yet, his dramatic landscapes, marine paintings and revelatory scenes of industry, war and contemporary life are as captivating to audiences today as they were then. This book is an essential introduction to the life and work of this influential artist. Tracing Turner's journey from his modest beginnings and formative years, through to his tours and engagement with the British and Continental landscape, alongside pioneering historical, biblical and classical narrative paintings, it highlights his breathtaking technical skill and deep engagement with his own times.
Compound climate events transform electrical power shortfall risk in the Pacific Northwest
Power system reliability is sensitive to climate-driven variations in both energy demand and water availability, yet the combined effect of these impacts is rarely evaluated. Here we show that combined climate change impacts on loads and hydropower generation may have a transformative effect on the nature and seasonality of power shortfall risk in the U.S. Pacific Northwest. Under climate change, potential shortfall events occur more readily, but are significantly less severe in nature. A seasonal reversal in shortfall risk occurs: winter shortfalls are eradicated due to reduced building heating demands, while summer shortfalls multiply as increased peak loads for day-time cooling coincide with impaired hydropower generation. Many of these summer shortfalls go unregistered when climate change impacts on loads and hydropower dispatch are analyzed in isolation—highlighting an important role of compound events. Climate change will affect both the demand for electrical power and the generating capabilities of hydropower plants. Here the authors investigated the combined impact of these effects in the US Pacific Northwest by considering the dynamics of the regional  power grid, where they reveal a profound impact of climate change on power shortfall risk by the year 2035.