This is a study on how a group of ten pupils choose their upper secondary schools (gymnasium). All pupils are ninth graders in a middle school in Husby which is a suburb of Stockholm. Like the big majority of Husby citizens, they all have immigrant backgrounds and their time in Sweden varies; some are born here while others are born abroad and migrated later with their parents. My aim was to understand their upper secondary school choices through own and their parents? "cultural capital".

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.

SvenskaDetta är en kvalitativ studie som är baserad på semistrukturerade intervjuer. Syftet med detta arbete är att ta reda på hur två matematiklärare och en specialpedagog ser på/beskriver matematik­svårigheter och hur de arbetar med elevernas matematiksvårigheter som de upp­täcker hos sina elever. Jag är väldigt intresserad av att höra vilka matematik­svårigheter och orsaker till matematiksvårigheter lärarna ser hos sina elever samt lära mig hur skolan och lärarna jobbar med dessa svårigheter hos eleverna. Samtliga informanter hade samma svar på mina forskningsfrågor. I resultaten av hela min studie har jag kommit fram till att orsaker till elevernas matematiksvårigheter bland annat är: dåliga baskunskaper, låga baskunskaper förståelse av positionssystem samt begrepp.

A tax penalty is an administrative penalty and is levied when the tax obligated provides false information for the guidance of their own taxation. Further can the taxpayer also be punished for tax evasion for the same false reporting. However, this is contrary to the European Convention that we should not be tried or punished twice for the same crime. The Supreme Court has through practice from 2013 ruled that the right not to be punished twice for the same offense shall include the system in force concerning tax and tax offenses. The Supreme Court has by this judgment determined that the system of penalty and tax evasion is not compatible with the dual test ban.In the light of the judgment the Government submitted in November 2014 a draft to the council regarding double test ban regarding penalty and tax evasion.

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.

Syfte och frågeställningar. Syftet med studien var att via ett maximalt och ett submaximalt cykelergometertest (Ekblom-Bak test) ta reda på maximal syreupptagningsförmåga hos relativt friska kvinnor och män i åldern 65 ? 78 år, samt att se hur väl det submaximala mätvärdet korrelerade med det direkt uppmätta maximala värdet. Målsättningen var också att jämföra testvärdena mellan två separata förtest och ett eftertest efter en 6 veckors träningsperiod. Frågeställningar: (1) Vilken maximal syreupptagningsförmåga har relativt friska kvinnor och män i åldern 65 ? 77 år? (2) Hur väl korrelerar det beräknade VO2max-värdet från det submaximala cykelergometertestet med direkt syreupptagningsmätning från ett maximalt cykelergometertest i den aktuella åldersgruppen.

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.

Syftet med studien var att undersöka sjuåriga flickors och deras mödraras attityder till mat/ätande samt att undersöka om det förekom ett samband mellan mödrars och döttrars attityder till mat/ätande. Studien var en delstudie ur IDA-projektet som hade en prospektiv longitudinell design. Flickor och deras mödrar rekryterades genom ett slumpmässigt stratifierat urval av skolor i Uppsala län. Sammanlagt 161 flickor och deras mödrar (n=133) deltog. För att bedöma attityder till mat/ätande har två självskattningsformulär använts, Children?s Eating Attitude test (ChEAT) för flickorna samt Eating Attitude Test (EAT) för mödrarna.

Bakgrund Det sker många matförgiftningar i Sverige varje år, kostnaden för matförgiftningar ligger runt 730 miljoner per år, vilket är en stor kostnad för skattebetalarna. Matförgiftningar är ett samlingsnamn för olika förgiftningar via mat. Grundförutsättningar för en säker livsmedelshantering är god personlig hygien, kontroll vid mottagning av varor och temperaturkontroller av livsmedlet. I en studie i USA var det 182 av 313 som hade blivit matförgiftade. 22 % av deltagarna trodde att det var på en plats utanför hemmet.

Thesis purpose: The aim of this paper is to extend the knowledge of what influences the purchase decision of functional food in the store. By applying the M-R model in a new setting - the dairy department in grocery retailing in Sweden - and adding variables related to health attitudes, the aim is to contribute to existing research concerning in-store purchase decision making and store environment as well as consumer attitudes. Methodology: This thesis employs a quantitative strategy with a deductive approach and data has been collected with questionnaires. Theoretical perspective: Environmental psychology serves as an overarching framework where, more specifically, certain aspects of store atmospherics and some variables concomitant to health attitudes provide the theoretical base. Empirical data: The empirical data consists of customer purchasing a functional food product, Proviva, and this is contrasted with a test group, Bravo.

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.