1,720,952 research outputs found
Starting Collaborations in the Food & Beverage Industry: A case study on the implementation of a novel packaging technology in new products
No full textIndustrial Design EngineeringStrategic Product Desig
Tropisch Noorden
No full textDit boek bevat twee typen tekst. Om te beginnen, een reisverslag met als titel Handwerk. Dit is geschreven in de vorm van twintig korte hoofdstukjes waarin ik mijn gedachten laat dwalen over de zeden en gewoonten, het landschap en de geschiedenis van onze duitse buren. Hierop aan sluit een filosofisch-wetenschappelijk opstel, getiteld Richtlijnen en Zichtlijnen, waarin ik de historische context en de esthetische kwaliteit van het Wörlitzer landschapspark in Anhalt-Dessau aan een nader onderzoek onderwerp, na er in het eerste deel van dit boek allerlei vermoedens op te hebben losgelaten. Ik ontwikkel hierin een hypothese over de culturele en symbolische betekenis van de perspectieven in dit fraaie duitse paradijs - dit 'Gartenreich', zoals zijn schepper Vorst Franz het placht te noemen.ArchitectureArchitectur
Multi-timescale shoreline change modelling
No full textShoreline change is affected by a multitude of complex processes operating at various spatiotemporal scales. Comprehensive multi-year simulations of shoreline changes and forecasts are feasible with process-based models. However, these detailed and computationally expensive numerical simulations do not always lead to increased predictive skill in comparison to simpler shoreline models (Davidson et al., 2013). ShoreFor (Davidson et al., 2013) employs the concept of (dis-) equilibrium of shoreline location following Wright and Short (1985). In this research, the current ShoreFor model (Splinter et al., 2014) is used as baseline. ShoreFor seeks for an optimum decay factor that best describes the morphological response of a coastal system to the corresponding hydrodynamic forcing. This parameter is measured in days and effectively controls the shoreline response timescale. Currently, the ShoreFor model provides a single value for φ, representing a single dominant shoreline response timescale. As morphological systems can contain multiple dominant timescale responses, a new approach to multi-timescale shoreline change modelling is proposed. Three video-derived datasets are used to improve the model towards a generally applicable one which incorporates multiple temporal scales: Narrabeen (Australia), Nha Trang (Vietnam) and Grand Popo (Benin). Each dataset has different hydrodynamic- and morphological characteristics. The storm timescale is a dominant mode of shoreline response for Narrabeen, whereas for Nha Trang and Grand Popo the seasonal timescale is the most dominant. Furthermore, all sites are subjected to more modes of shoreline response such that the application of a single memory decay factor will hamper shoreline modelling. The existing model is improved using 3 steps.In the first step, the raw wave- and shoreline signals are filtered to distinguish temporal scales. Then filtered temporal scales in shoreline position are forced with the corresponding scales in the wave signals. For each temporal scale, a distinct memory decay factor φ is found. In the second step, the effect of small temporal scales in wave forcing on larger temporal scales in shoreline position is accounted for. The improved model takes this effect into account using the envelope of the filtered wave signals. The envelope is used to force the model and to calculate shoreline change with the same timescale. In the third and final step, the effect of large temporal scales in shoreline position on smaller scales in shoreline response is accounted for. The efficiency with which waves induce cross-shore sediment transport can be dependent on the large scale shoreline variation. A time varying response factor c is introduced that controls the efficiency with which waves induce cross-shore sediment transport. The dynamic response factor varies over time with the shape of the larger scale shoreline signal: it represents the effect of the large scale shoreline variation on the smaller scale shoreline response.Civil Engineering | Hydraulic Engineerin
Response to “Comment on ‘The viscoelastic response of Brownian suspensions’?” [J. Chem. Phys. 114, 3339 (2001)]
No full textOur original article presented computer simulation results for the viscoelastic response of a simple model colloidal suspension. We compared our results for the viscosity with a theoretical prediction of Verberg et al. [R. Verberg, I. M. de Schepper, and E. G. D. Cohen, Phys. Rev. E 55, 3143 (1997)] and found poor agreement. It is suggested in the previous comment that a comparison with a modified expression is more appropriate. In response we explain the basis of our comparison and expand on how a different interpretation could be made, leading to an expression of the form Felderhof suggests is appropriate. Nonetheless, as stated in the comment, the agreement with simulation is poor, no matter which of the two possible theoretical expressions is used. We also seek to clarify our position concerning the form of the high frequency response at low volume fraction. Our finding is that the ratio of this to the high frequency response in the zero density limit is not the radial distribution function at contact, as predicted by Verberg et al. [R. Verberg, I. M. de Schepper, M. J. Feigenbaum, and E. G. D. Cohen, J. Stat. Phys. 87, 1037 (1997)], but is a rather smaller quantity.Computational PhysicsApplied Science
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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