Search for dissertations about: "central flow"
Showing result 1 - 5 of 366 swedish dissertations containing the words central flow.
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1. Interaction of flows with slender structures and liquid-infused surfaces
Abstract : Surface textures and protrusions can be used to control or gain information about a flow. We investigate the solid-flow interaction of filamentous structures and liquid-infused surfaces (LIS). Both filamentous structures and LIS are used by organisms and can be exploited in technical applications. READ MORE
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2. Visual Flow Display for Pilot Spatial Orientation
Abstract : Pilot spatial disorientation (SD) is a significant cause of incidents and fatal accidents in aviation. The pilot is susceptible to SD especially in low visibility when the visual system is deprived of information from outside the cockpit. READ MORE
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3. Unpacking the Flow : Knowledge Transfer in MNCs
Abstract : Multinational corporations (MNCs) are increasingly competing on their ability to utilise knowledge sourced from various parts of the world. In order to draw full advantage of a multinational presence, harnessing the potential of peripheral knowledge assets is a main strategic imperative. READ MORE
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4. The metamorphic history of Naxos (central Cyclades, Greece) : Deciphering the Oligocene and Miocene exhumation events
Abstract : High pressure, low temperature (HP-LT) rocks observed at the surface of the Earth are evidence ofpast subduction zones. Understanding the tectonics processes that control the exhumation of HP-LT metamorphic rocks in these subduction zones requires full comprehension of the pressure-temperature-time (P–T–t) cycle that the rocks experienced. READ MORE
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5. Observational Uncertainties in Water-Resources Modelling in Central America : Methods for Uncertainty Estimation and Model Evaluation
Abstract : Knowledge about spatial and temporal variability of hydrological processes is central for sustainable water-resources management, and such knowledge is created from observational data. Hydrologic models are necessary for prediction for time periods and areas lacking data, but are affected by observational uncertainties. READ MORE