7,893 research outputs found

    No.455 Leslie Ellison

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    Transcript (36 pages) of interview by Elizabeth Shuput with Leslie Ellison, a rock climbing expert, on October 25, 2006Leslie Ellison (b. 1951) grew up in Connecticut, where he learned to climb. He received a degree in Anthropology from the University of Maine in 1973. In the early seventies he came out to Utah with his brother Bruce to ski, and came the next season with Kurt Ottman to climb. He fell in love with the granite in Little Cottonwood Canyon, and applied to to graduate school at the University of Utah, where he received a master\u27s degree in 1976 in Parks and Recreation Administration. Ellison discusses climbing with many famous Utah climbers, describes various climbs, and talks about first ascents. He has also climbed in South America, Canada, on Baffin Island, and in the Himalayas. Outdoor Recreation Project. Interviewer: Elizabeth Shupu

    Seabed foraging by Antarctic krill: Implications for stock assessment, bentho-pelagic coupling, and the vertical transfer of iron

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    A compilation of more than 30 studies shows that adult Antarctic krill (Euphausia superba) may frequent benthic habitats year-round, in shelf as well as oceanic waters and throughout their circumpolar range. Net and acoustic data from the Scotia Sea show that in summer 2-20% of the population reside at depths between 200 and 2000 m, and that large aggregations can form above the seabed. Local differences in the vertical distribution of krill indicate that reduced feeding success in surface waters, either due to predator encounter or food shortage, might initiate such deep migrations and results in benthic feeding. Fatty acid and microscopic analyses of stomach content confirm two different foraging habitats for Antarctic krill: the upper ocean, where fresh phytoplankton is the main food source, and deeper water or the seabed, where detritus and copepods are consumed. Krill caught in upper waters retain signals of benthic feeding, suggesting frequent and dynamic exchange between surface and seabed. Krill contained up to 260 nmol iron per stomach when returning from seabed feeding. About 5% of this iron is labile, i.e., potentially available to phytoplankton. Due to their large biomass, frequent benthic feeding, and acidic digestion of particulate iron, krill might facilitate an input of new iron to Southern Ocean surface waters. Deep migrations and foraging at the seabed are significant parts of krill ecology, and the vertical fluxes involved in this behavior are important for the coupling of benthic and pelagic food webs and their elemental repositories

    A machine learning approach to rank pre-season flight schedules

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    The rate of air traffic demand increase in Europe is exceeding the pace of capacity generating concept and infrastructure development, resulting in imbalances between traffic demand and capacity.To mitigate airport congestion, in the strategic phase, i.e., up to 6 months prior to the day of the flight execution, pre-season flight schedules are implemented at the busiest airports in Europe. The aim of the pre-season flight schedules is to limit the number of scheduled flights during peak hours.This paper proposes a machine learning approach to classify the pre-season scheduled flights as delayed or cancelled with high accuracy. We also identify the most significant features for the output of the classification algorithms. Further, we propose a generic method to rank pre-season flight schedules using a set of predefined, airport performance indicators. We employ this method to rank 10 pre-season flight schedules, where the performance indicators are derived from the flight delay and cancellation predictions. We apply the flight classification and ranking algorithms at London Heathrow Airport, one of the busiest airports in Europe. Together with the development of dedicated pre-season flight schedule optimization models, our proposed approach supports an integrated pre-season flight schedule assessment, where pre-season flight schedules are re-evaluated with respect to on-time airport performance.Aerospace Engineerin

    Towards a prediction of the intensity of a harmattan season

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    The harmattan is a seasonal phenomena in West Africa. It is a dry and warm wind which is able to transport large dust plumes. This study aims to get insight in possible triggers that may have influence on the harmattan season itself.To find a seasonal predictor which can predict the intensity of the next harmattan season, historical data is analyzed. Changes in de Inter-Tropical Convergence Zone seem to have a significant influence on the harmattan season
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