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1:st person impressions of akrasia: Troubleshooting (2001-06-01)

1. Formal arguments against full 1:st person knowledge of motivation. 2. Empirical evidence against 1:st person knowledge of motivation. 3. Sensitivity to background factors. 4. Individuation of options. 5. Charitable or paternalistic interpretation. 6. The role of self-diagnosis in deliberation. 7. Conclusions

Managing human fear of bears and wolves

Decision-makers and managers spend substantial amounts of funding everyday on various interventions aimed at management of the large carnivores, for example different measures to mitigate depredation on livestock, e.g., removal of carnivores and fencing of livestock (see Linnell et al. 1996 for an extensive review). Management of species that occur in low numbers is challenging as relatively small

On the Expanding Properties of Gallager's LDPC Matrices

This paper investigates expanding properties of ensembles of random bipartite graphs whose adjacency matrices are Gallager's low-density parity-check matrices. Two methods for calculating the expansion coefficient are demonstrated. It is shown that in the ensemble of the considered bipartite graphs, there exist graphs which have better expanding properties than the previously known expanders.

Design of close to optimal Euclidean distance MIMO-precoders

In this work we study the problem of constructing precoders for spatially multiplexed multiple-input multiple output (MIMO) channels with close to optimal minimum Euclidean distance. In order to exploit the full potential of such designs, an ML detector must be used. Our design takes the decoding complexity into account and constrain it to a reasonable level. For our simplest case, the ML detector

Electromagnetic dispersion modeling and measurements for HVDC power cables

This paper provides a general framework for electromagnetic modeling, computation and measurements regarding the wave propagation characteristics of High-Voltage Direct Current (HVDC) power cables. The modeling is focused on very long (10 km or more) HVDC power cables and the relevant frequency range is therefore in the low-frequency regime of about 0-100 kHz. An exact dispersion relation is form