Hypersonic static stability investigation of a Tomahawk 20-percent-scale model Technical report, 27 May - 2 Jun. 1966

Hypersonic static stability investigation of Tomahawk rocket mode

Development of high energy density primary batteries Fourth quarterly report, 22 Mar. - 21 Jun. 1966

High energy density primary batteries for space flight applications - electrolyte systems, cell systems, and positive electrode constructio

Development of high energy density primary batteries First quarterly report, 22 Jun. - 21 Oct. 1965

Electrode and electrolyte studies for lithium- copper fluoride batterie

Development of high energy density primary batteries 200 watt hours per pound total battery weight minimum Final report, 10 Jun. 1964 - 9 Jun. 1965

High energy density lithium-anode primary cells developed with energy-to-weight ratios over 200 watt hours per poun

A comparison of regionalisation methods for catchment model parameters

International audienceIn this study we examine the relative performance of a range of methods for transposing catchment model parameters to ungauged catchments. We calibrate 11 parameters of a semi-distributed conceptual rainfall-runoff model to daily runoff and snow cover data of 320 Austrian catchments in the period 1987-1997 and verify the model for the period 1976-1986. We evaluate the predictive accuracy of the regionalisation methods by jack-knife cross-validation against daily runoff and snow cover data. The results indicate that two methods perform best. The first is a kriging approach where the model parameters are regionalised independently from each other based on their spatial correlation. The second is a similarity approach where the complete set of model parameters is transposed from a donor catchment that is most similar in terms of its physiographic attributes (mean catchment elevation, stream network density, lake index, areal proportion of porous aquifers, land use, soils and geology). For the calibration period, the median Nash-Sutcliffe model efficiency ME of daily runoff is 0.67 for both methods as compared to ME=0.72 for the at-site simulations. For the verification period, the corresponding efficiencies are 0.62 and 0.66. All regionalisation methods perform similar in terms of simulating snow cover

A model of manufacturer-driven governing mechanisms and distributor performance

Drawing from relational exchange, dependence, and agency theories the authors explain that it is not only the type of governing mechanisms but also the proper sequencing of them that improves a manufacturer-distributor relationship and performance. Dependence affected relationship continuity positively. Monitoring affected the second order relational norm construct, comprising information sharing and flexibility, positively. Relational norm positively affected relationship continuity. Dependence, relationship continuity, monitoring, and relational norm affected distributor performance positively

Методические указания к самостоятельному изучению курса "Университетское образование" студентами-иностранцами

Методические указания разработаны в соответствии с программой учебного курса "Университетское образование" и составлена в соответствии с образовательной программой подготовительного отделения факультета международного образования, которая занимает важное место в системе подготовки кадров высших учебных заведений Украины. Методические указания рассчитаны на иностранных студентов подготовительного отделения ЗВО III-IV уровней аккредитации и содержат общие сведения об учебном курсе, тематический план и структуру курса, требования к уровню компетентности студентов, рекомендованную литературу по темам курса, темы практических занятий, образцы вопросов к тестовому и итоговому контролям, систему оценивания учебных достижений студентов

Organization Structure and Service Capabilities as Predictors of Supply Chain Performance: B2B Seller’s Perspective

In buyer-seller exchanges the seller not only provides the goods and service but also transfers its organization capabilities on to the buying firm. Improper selection and usage of these capabilities may reduce the seller’s sustainable competitive edge in future transactions in this supply chain. Through field interviews and Resource Based View literature, the authors propose and test a model linking organization structure, service capabilities, and seller’s satisfaction and performance in business-to-business exchanges. Based on eighty-seven responses, the results indicate that autonomous structure has a positive impact on all three service capabilities. Formalization has a positive influence on only logistics service capability. The service capabilities had a direct impact only on satisfaction. The supply chain performance link in the model was mediated through satisfaction

Flood risk assessment and associated uncertainty

International audienceFlood disaster mitigation strategies should be based on a comprehensive assessment of the flood risk combined with a thorough investigation of the uncertainties associated with the risk assessment procedure. Within the "German Research Network of Natural Disasters" (DFNK) the working group "Flood Risk Analysis" investigated the flood process chain from precipitation, runoff generation and concentration in the catchment, flood routing in the river network, possible failure of flood protection measures, inundation to economic damage. The working group represented each of these processes by deterministic, spatially distributed models at different scales. While these models provide the necessary understanding of the flood process chain, they are not suitable for risk and uncertainty analyses due to their complex nature and high CPU-time demand. We have therefore developed a stochastic flood risk model consisting of simplified model components associated with the components of the process chain. We parameterised these model components based on the results of the complex deterministic models and used them for the risk and uncertainty analysis in a Monte Carlo framework. The Monte Carlo framework is hierarchically structured in two layers representing two different sources of uncertainty, aleatory uncertainty (due to natural and anthropogenic variability) and epistemic uncertainty (due to incomplete knowledge of the system). The model allows us to calculate probabilities of occurrence for events of different magnitudes along with the expected economic damage in a target area in the first layer of the Monte Carlo framework, i.e. to assess the economic risks, and to derive uncertainty bounds associated with these risks in the second layer. It is also possible to identify the contributions of individual sources of uncertainty to the overall uncertainty. It could be shown that the uncertainty caused by epistemic sources significantly alters the results obtained with aleatory uncertainty alone. The model was applied to reaches of the river Rhine downstream of Cologne