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Time domain theory of the macroscopic Maxwell equations
A time domain description of linear macroscopic electromagnetic phenomena is considered. We show that it is always possible to model the constitutive relations with a symmetric, positive definite optical response together with a convolution integral. An initial-boundary value problem is formulated for the macroscopic Maxwell equations together with a reflection operator modeling the exterior regio
SAXS experiments of polycarbonate with in-situ loading
Industrial Accelerators
Modeling the cooling effect in compressed air assisted machining
Döva och matematik - vad är speciellt?
Zygmunt Baumans levnadskonst
The dark matter of the Bologna process - the phenomenon "learning outcomes"
Nobilissime Domine Episcope, Fautor et Maecenas Optime. En skånsk 1600-talspräst skriver till sin biskop
Eta Carinae: Preparing for the Next Spectroscopic Event and What We May Learn
Islanding detection and connection requirements
Corporate Distress and Restructuring with Macroeconomic Fluctuations: The Cases of GM and Ford
Gränsdragningen för Universitetslärare i Relationen gentemot Studenterna – en analys av det egna förhållningssättet till yrkesmässighet och det privata
En nutida gesällvandring - Utlandspraktik vid sex svenska industrigymnasier
Svenskar har under en längre tid besökt internationella kunskapscentra. Redan under medeltiden började hantverkare att göra gesällvandringar på kontinenten och senare reste ingenjörer till ledande industriländer. Dessa grupper kom tillbaka med nya kunskaper som bidrog till att Sverige inte bara kunde hänga med i den teknologiska utvecklingen utan också under perioder tillhöra de ledande länderna.
Macroeconomic fluctuations as a source of luck in CEO compensation
Another look at the exact bit error probability for Viterbi decoding of convolutional codes
In 1995, Best et al. published a formula for the exact bit error probability for Viterbi decoding of the rate R=1/2, memory m=1 (2-state) convolutional encoder with generator matrix G(D)=(1 1+D) when used to communicate over the binary symmetric channel. Their method was later extended to the rate R=1/2, memory m=2 (4-state) generator matrix G(D)=(1+D^2 1+D+D^2) by Lentmaier et al. In this paper,