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The studies in this thesis have shown that the partitioning of endoglucanase I (EGI, Cel7B) from T. reesei could be significantly improved by relatively minor genetic engineering. By adding short peptides composed of tryptophan and proline residues to EGI, extreme partitioning could be obtained. The site of the tag fusion was shown to be crucial for the efficiency of the tag. Methods suitable for

A full-scale in-line primary sludge hydrolysis experiment was conducted in one out of four primary settlers at the Klagshamn Wastewater Treatment Plant (WWTP) to test if the wastewater quality can be improved in terms of providing easily accessible carbon for possible pre-denitrification and the reduction of external carbon sources. The amount of easily accessible carbon produced, in the form of t

Faster-than-Nyquist (FTN) signaling is a trellis coding method that maintains the error rate while reducing signal bandwidth. The combined effect is to move closer to capacity. We study some basic receiver issues: How to model the signaling efficiently in discrete time, how much the Viterbi receiver can be truncated, and how to combine the method with an outer code. The methods are modeling for mi

Affordable and competitive industrial automation is of key importance for small and medium enterprises, in Europe and elsewhere. A key factor is the introduction of new robot automation concepts that ease fast deployment and extend available task repertoire. The Gantry-Tau manipulator is a new robot concept. In contrast to other parallel kinematic manipulators (PKMs), it has a large working range.

The use of a hybrid copper and fiber architecture is attractive in both fixed access and mobile backhauling scenarios. This trend led the industry and academia to start developing the fourth generation broadband system, which aims at achieving bitrates of 1 Gbps over short copper loops. In this context, accurate models of short twisted-pair cables operating at relatively high frequencies are key e

Electrochemical reactions at the anode triple phase boundary (TPB) proceed on the basis of the fuel concentration, which depends on transport processes within the porous anode and the heterogeneous reforming chemistry. Microscale modeling is needed to describe these interactions with an acceptable accuracy. The aim of this article is to investigate if it is possible to use a multiscale approach to

This report titled Best available technologies and techniques for large point sources has been prepared within the framework of the programme on Regional Air Pollution in Developing Countries (RAPIDC), Phase III conducted during the period 2005-2008. RAPIDC is funded by the Department of Infrastructure and Economic Cooperation (INEC) of the Swedish International Development Cooperation Agency SIDA

Using accurate correlated wave functions calculated earlier by Bunge and by Larsson, we have constructed the Hohenberg-Kohn-Sham density functionals and exchange-correlation (ground-state) potentials and have obtained orbital energy eigenvalues for a number of light atoms by in principle exact numerical algorithms. While the uppermost occupied density-functional eigenvalue always gives an exact ex

Pollinators are critical for food security; however, their contribution to the pollination of locally important crops is still unclear, especially for non-bee pollinators. We reviewed the diversity, conservation status, and role of bee and non-bee pollinators in 83 different crops described either as important for the global food market or of local importance. Bees are the most commonly recorded c

This paper focuses on tech giants as active drivers of a phase of globalization characterized by growth in digital services trade combined with a general shift to intangible assets. By analysing how Google, Amazon and Microsoft organize their innovation activities, we show that they continuously monopolize knowledge while outsourcing innovation steps to other firms and research institutions. The p

Tensor-valued diffusion encoding facilitates data analysis by q-space trajectory imaging. By modeling the diffusion signal of heterogeneous tissues with a diffusion tensor distribution (DTD) and modulating the encoding tensor shape, this novel approach allows disentangling variations in diffusivity from microscopic anisotropy, orientation dispersion, and mixtures of multiple isotropic diffusivitie