One of their most recent publications is [19] Entrapment of microbial and plant cells in beaded polymers. Which was published in journal .

More information about K. Nilsson research including statistics on their citations can be found on their Copernicus Academic profile page.

K. Nilsson's Articles: (3)

[19] Entrapment of microbial and plant cells in beaded polymers

Publisher SummaryThis chapter describes a mild immobilization procedure for the preparation of beaded uniform biocatalysts with retained cell viability. The method is based on a two-phase system in which the hydrophobic phase is composed of an inert liquid, such as vegetable or paraffin oil. The procedure is relatively simple to carry out, and it can be used for a wide variety of polymers. The chapter discusses the detail procedures for the entrapment of microbial and plant cells in agarose and κ-carrageenan. When agarose is chosen, the quality with the highest gelling temperature that is tolerable by the cells should be used as chemically modified agarose has lower mechanical strength and smaller pore size as compared to unmodified agarose. The preparation of spherical polyacrylamide containing microbial cells is given in the chapter.

Industrial applications of production planning with optimal electricity demand

AbstractThe differentiation of the electricity tariff is a way to influence the electricity demand. Savings can be made when part of the electricity demand can be shifted to low-rate periods. However, the optimal production flow is often related to the electricity demand in a non-linear way. For an industry with an approximately linear electricity demand the optimal production schedule implies decreased production to yield a decreased electricity demand. A strongly non-linear electricity demand, on the other hand, may even imply an increased production to yield a decreased electricity demand. The optimal production schedules of three industrial cases are studied in response to two price constructions, represented as two differentiated tariffs.

A modular, massively parallel computer architecture for trainable real-time control systems

AbstractA new system-architectural concept for trainable real-time control systems is based on resource adequacy both in processing and communication. Cyclically executing programs in distributed nodes communicate via a shared high-speed medium. Static scheduling of programs and communication implies that the maximum possible work-load can always be handled in a time-deterministic manner. The use of Artificial Neural Networks (ANN) algorithms and trainability implies a new system development strategy based on a Continuous Development paradigm. An implementation of the Architectural concept is presented. The communication speed is measured in Gbps and the access method is TDMA. An implementation of the system-development strategy is also presented.

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