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Compositional Loess modeling

Cleveland (1979) is usually credited with the introduction of the locally weighted regression, Loess. The concept was further developed by Cleveland and Devlin (1988). The general idea is that for an arbitrary number of explanatory data points xi the value of a dependent variable is estimated ŷi. The ŷi is the fitted value from a dth degree polynomial in xi. (In practice often d = 1.) The ŷi is fi

Legal Empowerment of Informal Workers: Alternative models of regulation for street vendors in Bogota, Colombia

Many street vendors live under constant fear of eviction and harassment because the law does not recognize their businesses and they work outside the rule of law. Furthermore, in some cities street vending is a criminal offence to public order and vendors can be sent to prison. Using the empowerment theory, defended by Hernando De Soto, this article will examine to what extent formalization - unde

A Decomposition Result in Linear-Quadratic Coordinated Control

Scalability is a fundamental requirement in control design for large-scale systems. Typically, it needs to be considered explicitly at the expense of performance degradation and more complicated design procedures. In this paper, we present a class of large scale systems where scalability is an inherent property of the optimal centralized solution. More specifically, we study a coordination problem

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The impact of Claude Lévi-Strauss and structuralism in the Nordic countries.

Intracerebral grafting of neuronal cell suspensions. II. Survival and growth of nigral cells implanted in different brain sites

Dissociated dopamine-rich cell suspensions were prepared from the ventral mesencephalon of rat embryos and injected in one or several sites in striatal and non-striatal regions in the dopaminergically denervated brain of adult rats. While the grafts survived well in all sites, the dopamine fibre outgrowth was markedly different depending on whether the grafts occurred in an area normally innervate

Tillämpningar av adaptiv reglering

The paper describes different ways of using adaptive control in industrial applications. Many practical issues must, however, be considered when implementing an adaptive control algorithm. There is a large discrepancy between simulation or academic algorithms and practical algorithms. Several applications an case studies are presented and the advantages of adaptive control are discussed.