Holopedium gibberum - an indicator of soft-water lakes? [Translation from: Fauna 21 130-132, 1968.]

In fresh waters the planktonic Crustacea are represented mainly by the two large groups, the Copepoda and the Cladocera. This study focuses on Holopedium gibberum and examines if the plankton is an indicator of soft-water lakes. H. gibberum is found throughout the northern half of the globe but its distribution is scattered and irregular. The study is based on a literature review and samples taken from water bodies in Norway

Open String/Open D-Brane Dualities: Old and New

We examine magnetic and electric near horizon regions of maximally supersymmetric D-brane and NS5-brane bound states and find transformations between near horizon regions with worldvolume dual magnetic and electric fluxes. These point to dual formulations of NCYM, NCOS and OD$p$ theories in the limit of weak coupling and large spatial or temporal non-commutativity length scale in terms of weakly coupled theories with fixed worldvolume dual non-commutativity based on open D-branes. We also examine the strong coupling behavior of the open D-brane theories and propose a unified web of dualities involving strong/weak coupling as well as large/small non-commutativity scale.Comment: 33 pages, Latex, 8 diagrams, added references and a remar

Effects of a nonadiabatic wall on supersonic shock/boundary-layer interactions

Direct numerical simulations are employed to investigate a shock wave impinging on a turbulent boundary layer at free-stream Mach number M=2.28 with different wall thermal conditions, including adiabatic, cooled, and heated, for a wide range of deflection angles. It is found that the thermal boundary condition at the wall has a large effect on the size of the interaction region and on the level of pressure fluctuations. The distribution of the Stanton number shows a good agreement with prior experimental studies and confirms the strong heat transfer and complex pattern within the interaction region. An effort was also made to describe the unsteady features of the flow by means of wall pressure and heat flux spectra. Numerical results indicate that the changes in the interaction length due to the wall thermal condition are mainly linked to the incoming boundary layer, which is in agreement with previous experimental studies

Disaggregating Density A Knowledge Spillover Analysis Using Geo-Coded Data

This paper exploits a geocoded, publicly audited, full population dataset on employment and wages in Sweden's city areas, to analyze the relationship between density of economic activity and individual wages. The analysis is based on 250-by-250 meter (about 0.15 miles), 1 km2, 9 km2 and 100 km2 squares. Fixed effects individual-level wage regressions confirm that workers are positively affected by proximity to economic activity, but that the results are dependent on spatial resolution. A doubling of density in a 250 meter square is associated with a 3.7 percent increase in wages, holding individual characteristics and industry structure constant. Basing the analysis on any of the larger squares decreases the elasticity by about one third, confirming the modifiable areal unit problem, and lending support to arguments in favor of the attenuation of human capital spillover effects

Reducing the Bias of Causality Measures

Measures of the direction and strength of the interdependence between two time series are evaluated and modified in order to reduce the bias in the estimation of the measures, so that they give zero values when there is no causal effect. For this, point shuffling is employed as used in the frame of surrogate data. This correction is not specific to a particular measure and it is implemented here on measures based on state space reconstruction and information measures. The performance of the causality measures and their modifications is evaluated on simulated uncoupled and coupled dynamical systems and for different settings of embedding dimension, time series length and noise level. The corrected measures, and particularly the suggested corrected transfer entropy, turn out to stabilize at the zero level in the absence of causal effect and detect correctly the direction of information flow when it is present. The measures are also evaluated on electroencephalograms (EEG) for the detection of the information flow in the brain of an epileptic patient. The performance of the measures on EEG is interpreted, in view of the results from the simulation study.Comment: 30 pages, 12 figures, accepted to Physical Review