Många sjöar är idag påverkade av mänsklig aktivitet, bland annat är 1 % av Sveriges sjöar eutrofierade, däribland Ekoln. Ekoln är en stor sjö i Uppsala län söder om Uppsala som länge varit eutrofierad. Fyrisån och Örsundaån är de största inflödena till Ekoln och Sävjaån är ett betydande biflöde till Fyrisån. Kungsängsverket är Uppsalas reningsverk och har sitt utlopp i Fyrisån och som ett led i att minska eutrofieringen byggdes fosforreningen ut 1972. Fosforhalterna i Ekoln sjönk och algblomningarna blev färre.

The development of the web has become an attractive area, with continuously and rapid development in the area it has led to a big change in the way of learning. Learning is a concept with many definitions, but a definition that is many at hand is that learning means that individuals seeking new knowledge and experiences that shape their goals, behavior and environment.With the development of the web a new way of learning emerged, E-learning. E-learning integrates information technology with the traditional learning to offers a flexible way of learning for students where they won't be dependent on time, place or others issues that would prevent their learning. E-learning takes shape of an application, LMS (Learning Management System). Today LMS are widely used in many universities, but with new technique comes new problems. The constant developments of the LMS have made the decision to use LMS difficult.

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.

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.

Symmetrisk Lupoid onychodystrofi, SLO, beskrevs för första gången på mitten av 90-talet. Sjukdomen karaktäriseras av att alla klor avlossas inom en kort tidsperiod utan att andra samtidiga systemiska fynd ses. Den bakomliggandeorsaken till sjukdomen är ännu inte känd, men eftersom liknande histologiska fynd som vid systemisk lupus erythematosus, SLE och kutan lupus erythematosus, LE, kan identifieras har en autoimmun bakgrund misstänkts.Hörnstenen i SLE-diagnostiken är ANA-test, för att påvisa cirkulerande antinukleära antikroppar. I enstaka studier har man tidigare hos vissa hundar med SLO kunnat påvisa ANA.Syftet med den här studien har varit att göra ANA-test på hundar med symmetrisk kloavlossning och SLO, samt att genom journalstudier beskriva hur sjukdomen ser ut i Sverige idag.Hundar provtagna och testade för ANA är sju bearded collies, fem riesenschnauzer, tre Rhodesian ridgeback och en toypudel samt tolv kontrollhundar av raserna bearded collie, riesenschnauzer och Rhodesian ridgeback. Samtliga hundar var negativa för ANA.

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.

Det har genom åren förts en diskussion om RAD och andra snabba utvecklingsmetoder. Det här arbetet handlar det om att utveckla IS med hjälp av RAD-verktyg. Utveckling kommer att göras av olika personer med varierande IT-erfarenheter. Genom att låta personerna vara med i observationen finns det en möjlighet att se vilka som klarar av att utveckla ett IS liknande scenariot som används i studien.Ett scenario har utvecklats och verifierats med hjälp av en IT-forskare på Högskolan i Skövde, att det är ett rimligt scenario. Vidare har det i sin tur används som underlag till intervjuer för att verifiera ifall det är ett troligt och rimligt scenario som har en verklighetsanknytning.

I föreliggande studie har unga flickors attityder till ätande över tid studeras, samt sambandet mellan föräldrars attityder till mat och ätande och deras döttrars attityder. Detta gjordes genom frågeformulären Children´s Eating Attitudes Test (ChEAT) och Eating Attitudes Test (EAT), från IDA-projektet (Identification of Dieting in Adolescent girls) som delades ut i 40 olika skolor i Uppsala län år 1995 samt 2000. Resultatet visade att det var elva procent av 14åringarna som låg i riskzonen (riskbeteende = 16-72 p) för att utveckla ett stört ätbeteende, medan det inte var någon utav nioåringarna som låg i riskzonen (M 9år = 1,88 M 14 år = 4,35p=.001). Inget signifikant samband mellan varken mammans och flickornas ätbeteende eller pappans och flickornas ätbeteende kunde ses. För att problem med ätstörningar hos ungaflickor ska minska tycker författarna att det är viktigt att föräldrar informeras om hur tidigt deras barn blir medvetna om kroppsideal samt matfrågor.