The effects of dexmedetomidine and butorphanol sedation on skin reactivity during intradermal testing in healthy dogs were evaluated. The effects of dexmedetomidine and butorphanol were compared to medetomidine, a sedative agent having scientific proof of not interfering with skin test reactivity, in a randomised, double blind, cross over study performed on 8 adult dogs. The dogs were sedated with medetomidine (Domitor vet.®, 0,01 ml kg-1) intravenously, or dexmedetomidine and butorphanol intramuscularly (Dexdomitor vet.®, 0,01 ml kg-1; Dolorex vet., 0,01 ml kg-1) after which they received intradermal injections of positive control solutions (histamine 0,1 mg ml-1, 0,05 mg ml-1, 0,025 mg ml-1), a negative control solution (0,9 % NaCl) and allergen extract (Dermatophagoides farinae, Cladosporium and Artemisia vulgaris). After a wash out period the trial was repeated with a reversed sedation protocol.Skin reactivity (wheal size, induration and erythema) and quality of sedation (immobilization, response to stimuli and injections as well as over all working conditions) were evaluated. The combination of dexmedetomidine and butorphanol provided reliable, good sedation and analgesia without adverse effects.

The ability to tackle NP-hard problems has been greatly extended by the introduction of Metaheuristics (see Blum & Roli (2003)) for a summary of most Metaheuristics, general problem-independent optimisation algorithms extending the hill-climbing local search approach to escape local minima. One of these algorithms is Iterated Local Search (ILS) (Lourenco et al., 2002; Stützle, 1999a, p. 25ff), a recent easy to implement but powerful algorithm with results comparable or superior to other state-of-the-art methods for many combinatorial optimisation problems, among them the Traveling Salesman (TSP) and Quadratic Assignment Problem (QAP). ILS iteratively samples local minima by modifying the current local minimum and restartinga local search porcedure on this modified solution. This thesis will show how ILS can be implemented for MSA.

AbstractValue Added Tax, VAT, is a general consumption tax that is added to almost all consumption of goods and services. Despite the extensive work of harmonization of the VAT system relating to electronic services, it can be difficulties in determining the taxable land, something that could affect the internal market in a negative way. The Swedish companyStardollABwas double taxed on certain electronic services that they provided consumers in theUK. The problems that lead to double taxation must be identified to ensure free competition and free movement within the internal market. The principle of neutrality pervades the whole of the EU VAT system which can be derived from principles of the Treaty, establishing the common market, and the introduction of the VAT Directive.

The ability to tackle NP-hard problems has been greatly extended by the introduction of Metaheuristics (see Blum & Roli (2003)) for a summary of most Metaheuristics, general problem-independent optimisation algorithms extending the hill-climbing local search approach to escape local minima. One of these algorithms is Iterated Local Search (ILS) (Lourenco et al., 2002; Stützle, 1999a, p. 25ff), a recent easy to implement but powerful algorithm with results comparable or superior to other state-of-the-art methods for many combinatorial optimisation problems, among them the Traveling Salesman (TSP) and Quadratic Assignment Problem (QAP). ILS iteratively samples local minima by modifying the current local minimum and restartinga local search porcedure on this modified solution. This thesis will show how ILS can be implemented for MSA.

The ability to tackle NP-hard problems has been greatly extended by the introduction of Metaheuristics (see Blum & Roli (2003)) for a summary of most Metaheuristics, general problem-independent optimisation algorithms extending the hill-climbing local search approach to escape local minima. One of these algorithms is Iterated Local Search (ILS) (Lourenco et al., 2002; Stützle, 1999a, p. 25ff), a recent easy to implement but powerful algorithm with results comparable or superior to other state-of-the-art methods for many combinatorial optimisation problems, among them the Traveling Salesman (TSP) and Quadratic Assignment Problem (QAP). ILS iteratively samples local minima by modifying the current local minimum and restartinga local search porcedure on this modified solution. This thesis will show how ILS can be implemented for MSA.

The ability to tackle NP-hard problems has been greatly extended by the introduction of Metaheuristics (see Blum & Roli (2003)) for a summary of most Metaheuristics, general problem-independent optimisation algorithms extending the hill-climbing local search approach to escape local minima. One of these algorithms is Iterated Local Search (ILS) (Lourenco et al., 2002; Stützle, 1999a, p. 25ff), a recent easy to implement but powerful algorithm with results comparable or superior to other state-of-the-art methods for many combinatorial optimisation problems, among them the Traveling Salesman (TSP) and Quadratic Assignment Problem (QAP). ILS iteratively samples local minima by modifying the current local minimum and restartinga local search porcedure on this modified solution. This thesis will show how ILS can be implemented for MSA.

The ability to tackle NP-hard problems has been greatly extended by the introduction of Metaheuristics (see Blum & Roli (2003)) for a summary of most Metaheuristics, general problem-independent optimisation algorithms extending the hill-climbing local search approach to escape local minima. One of these algorithms is Iterated Local Search (ILS) (Lourenco et al., 2002; Stützle, 1999a, p. 25ff), a recent easy to implement but powerful algorithm with results comparable or superior to other state-of-the-art methods for many combinatorial optimisation problems, among them the Traveling Salesman (TSP) and Quadratic Assignment Problem (QAP). ILS iteratively samples local minima by modifying the current local minimum and restartinga local search porcedure on this modified solution. This thesis will show how ILS can be implemented for MSA.

The debate surrounding the opinion polls of the political party Sverigedemokraterna, and later their results in the Swedish election has been evident. The purpose of the study is to investigate how norms of equal treatment in social work practice might be influenced by Sverigedemokraterna's understanding of culture, ethnicity, nationality and religion. The thesis is outlined through the works of Teun van Dijk and Ruth Wodak (2000) regarding racist discourse in politics, Giorel Curran (2004) explaining lesser established parties influence on the broader discourses and Anders Hellström and Tom Nilsson (2010) attempting to ideologically position Sverigedemokraterna. With the method for analyzing policy documents designed by Carol Bacchi (2009) the latest motions from Sverigedemokraterna has been analyzed. Bacchi?s theoretical framework, together with theory concerning the expression of modern racism of John Hodge (1999), Paul Gilroy (1999) and Bennedict Anderson (1996) amongst others has been used to create an understanding of the material.

The purpose of this study was, if possible, to find a housing system for growing bulls that was as optimal as possible for the animal welfare. In order to select housing systems you must take into account the size of the group, body weight and the type of floor. Seven of the international most common housing systems were compared, straw bedding, deep straw bedding, sliding straw bedding, concrete slatted floor, rubber coated slatted floor, cubicles and feeding cubicles. Studies that have examined the proportion of tail, claw and leg injuries and the presence of unnatural behavior in the different systems. In summary, all studies showed that soft underlay were beneficial for the animals in terms of the proportion of bone lesions and swellings.

The ability to tackle NP-hard problems has been greatly extended by the introduction of Metaheuristics (see Blum & Roli (2003)) for a summary of most Metaheuristics, general problem-independent optimisation algorithms extending the hill-climbing local search approach to escape local minima. One of these algorithms is Iterated Local Search (ILS) (Lourenco et al., 2002; Stützle, 1999a, p. 25ff), a recent easy to implement but powerful algorithm with results comparable or superior to other state-of-the-art methods for many combinatorial optimisation problems, among them the Traveling Salesman (TSP) and Quadratic Assignment Problem (QAP). ILS iteratively samples local minima by modifying the current local minimum and restartinga local search porcedure on this modified solution. This thesis will show how ILS can be implemented for MSA.

The ability to tackle NP-hard problems has been greatly extended by the introduction of Metaheuristics (see Blum & Roli (2003)) for a summary of most Metaheuristics, general problem-independent optimisation algorithms extending the hill-climbing local search approach to escape local minima. One of these algorithms is Iterated Local Search (ILS) (Lourenco et al., 2002; Stützle, 1999a, p. 25ff), a recent easy to implement but powerful algorithm with results comparable or superior to other state-of-the-art methods for many combinatorial optimisation problems, among them the Traveling Salesman (TSP) and Quadratic Assignment Problem (QAP). ILS iteratively samples local minima by modifying the current local minimum and restartinga local search porcedure on this modified solution. This thesis will show how ILS can be implemented for MSA.

The ability to tackle NP-hard problems has been greatly extended by the introduction of Metaheuristics (see Blum & Roli (2003)) for a summary of most Metaheuristics, general problem-independent optimisation algorithms extending the hill-climbing local search approach to escape local minima. One of these algorithms is Iterated Local Search (ILS) (Lourenco et al., 2002; Stützle, 1999a, p. 25ff), a recent easy to implement but powerful algorithm with results comparable or superior to other state-of-the-art methods for many combinatorial optimisation problems, among them the Traveling Salesman (TSP) and Quadratic Assignment Problem (QAP). ILS iteratively samples local minima by modifying the current local minimum and restartinga local search porcedure on this modified solution. This thesis will show how ILS can be implemented for MSA.

The ability to tackle NP-hard problems has been greatly extended by the introduction of Metaheuristics (see Blum & Roli (2003)) for a summary of most Metaheuristics, general problem-independent optimisation algorithms extending the hill-climbing local search approach to escape local minima. One of these algorithms is Iterated Local Search (ILS) (Lourenco et al., 2002; Stützle, 1999a, p. 25ff), a recent easy to implement but powerful algorithm with results comparable or superior to other state-of-the-art methods for many combinatorial optimisation problems, among them the Traveling Salesman (TSP) and Quadratic Assignment Problem (QAP). ILS iteratively samples local minima by modifying the current local minimum and restartinga local search porcedure on this modified solution. This thesis will show how ILS can be implemented for MSA.

The ability to tackle NP-hard problems has been greatly extended by the introduction of Metaheuristics (see Blum & Roli (2003)) for a summary of most Metaheuristics, general problem-independent optimisation algorithms extending the hill-climbing local search approach to escape local minima. One of these algorithms is Iterated Local Search (ILS) (Lourenco et al., 2002; Stützle, 1999a, p. 25ff), a recent easy to implement but powerful algorithm with results comparable or superior to other state-of-the-art methods for many combinatorial optimisation problems, among them the Traveling Salesman (TSP) and Quadratic Assignment Problem (QAP). ILS iteratively samples local minima by modifying the current local minimum and restartinga local search porcedure on this modified solution. This thesis will show how ILS can be implemented for MSA.

Although women express a desire to be managers and although they constitute the majority of Sweden's newly graduated academics, they are still heavily underrepresented on senior management level in the Swedish private sector, where men hold as much as 95 % of the top positions. Considering the massive waste of resources that this implies, this thesis sets out to investigate the underlying reasons for the skewed gender distribution on senior management level in two Swedish professional services companies - an industry where the described problem has been palpable. Additionally, the thesis explores the effects of actively working for increased gender equality. With a basis in gender and organization theory, a broad theoretical framework has been compiled and applied to a qualitative case study design. The thesis reveals seven distinct impediments, which together create a parable of an obstacles course, that prevent women from advancing the corporate ladder in the same manner as their male colleagues.