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.

Stabilization of subgrade is an internationally common technique to improve the characteristics of a soft soil. Improving the stiffness and bearing capacity of the subgrade enables the pavement to be designed with reduced depths of subbase and basecourse aggregates. This makes the stabilization technique both economically and environmentally interesting. Both natural and stabilized soils have high inherent property variability that should be considered when the characteristic value is derived. By analyzing the spatial variability in stabilized and natural subgrades it is possible get the parameters needed for reliability?based modeling of soil properties.

Målet med Brunnsviken Brief Quality of Life Inventory (BBQ) är att skapa en kortfattad och lättadministrerad skattningsskala för självupplevd livskvalitet med goda psykometriska egenskaper vilken är gratis för alla att använda. I framtagningen av BBQ har data insamlad med Quality of Life Inventory (QOLI) i tidigare studier använts för att identifiera de livsområden med störst betydelse för självupplevd livskvalitet. I aktuell studie har normvärden tagits fram för den i studien ingående undersökningsgruppen bestående av 167 psykologistudenter. Studien har visat att BBQ har utmärkt reliabilitet (test-retest), 0,89. Vidare hade BBQ lika god validitet för undersökningsgruppen som QOLI.

Tidigare studier har visat att bristen på strukturell empowerment på vårdavdelning ofta leder till försämrad personalhälsa, sämre arbetsmiljö och mindre samarbete med kollegor samt högre grad av utmattningssymtom. Syftet med studien var att beskriva vårdpersonalens upplevelse av strukturell empowerment vid en akut kirurg- och ortopedavdelning, samt att undersöka om det finns några skillnader mellan sjuksköterskors och undersköterskors skattning av strukturell empowerment. Ytterligare ett syfte var att beskriva vårdpersonalens upplevelse av arbetstillfredsställelse samt att reliabilitetstesta ett instrument som mäter strukturell empowerment. Data gällande strukturell empowerment samlades in med instrumentet Condition of Work Effectiveness Questionnaire (CWEQ och CWEQ II) och data gällande arbetstillfredsställelse samlades in med en studiespecifik fråga. Femtioen enkäter delades ut, 43 personer svarade vid första mätningen och 39 personer vid andra mätningen.

Sedan ?de? internationella ?redovisningsstandarderna ?info?rdes ?2005 ?har ?redovisningen ?av ?inkomstskatt ?blivit ?mer ?transparent. ?Fo?retagens ?omgivning ?sta?ller ?allt ?ho?gre ?krav ?pa? ?att ?intressenterna ?skall ?fo?rses ?med ?upplysningar ?ga?llande ?vad ?som ?pa?verkar ?deras ?inkomstskatt. ?Thomas ?Andersson, ?partner ?pa? ?Deloitte ?och ?verksam ?pa? ?avdelningen ?Corporate? and ?International ?Tax ?Services, ?ma?rker ?i ?sitt ?arbete ?att ?klienterna ?har ?ett ?sto?rre ?intresse ?fo?r ?effektiv ?skatt.? Betydelsen ?av ?att ?fra?mst ?a?gare ?och ?investerare ?skall ?fa? ?fullsta?ndig ?och ?anva?ndbar ?information? om ?fo?retagens ?effektiva ?skatt? har? gjort ?att? fo?rfattarna ?fa?tt ?i ?uppdrag ?av ?Thomas ?Andersson ?att ?underso?ka? hur ?Sveriges ?sto?rsta ?koncerner ?redovisar ?sin ?effektiva ?skatt.Fo?rfattarna har ?formulerat ?fo?ljande ?forskningsfra?gor ?fo?r ?denna ?studie: ?Hur ?redovisar ?Sveriges ?sto?rsta ?koncerner ?sin ?effektiva ?skatt? ?Finns ?det ?na?gra? samband? mellan? den? effektiva ?skattens ?storlek ?och ?antalet ?uppfyllda ?underso?kningspunkter? Syftet? med ?denna ?studie ?a?r ?att ?identifiera ?hur ?Sveriges ?sto?rsta ?koncerner ?redovisar ?sin ?effektiva ?skatt ?samt ?att ?urskilja ?vilka? skillnader ?som ?finns ?mellan ?koncernernas ?redovisning.

In this thesis, the TEI (Text Encoding Initiative) encoding scheme is investigated as a system for storing metadata about manuscript material and 18th century first prints in the Swedenborg Archives at the Swedish Royal Academy of Sciences. The aim of the study is to test the functionality of TEI as a metadata system in cataloguing a special collection. Some criteria of functionality are formulated, and examples of encoded catalogue entries are described and analysed. It is demonstrated how descriptive metadata have been registered within the TEI header, while structural metadata have been recorded within the text element of the TEI file. On the whole, TEI is considered to be a functional tool that matches the present purposes.

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 present study aims to investigate the phonological development of typically developing monolingual Swedish speaking children aged three to four years. The result could be used in the standardization of a new phonological test material for clinical speech and language pathology assessments. One-hundred and thirty four children aged three and four years (73 girls and 61 boys) were assessed with the new material. The children were tested in kindergartens in three communities in southeastern Sweden. Their assessments were audio recorded, transcribed phonetically and analyzed with Percentage Phonemes Correct (PPC) and Percentage of Words Correct (PWC).

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.