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.

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.

Reading old handwritten documents can be a real challenge for genealogists, especially as some documents in Sweden are written in the old German alphabet that is not used today. Much research has been done on how to enable computers to read old handwritten documents, but computers have so far not reached the level of reading that expert humans have. The focus seems to be on the computers reading the document with or without the help of human experts, with the aim of making the documents available in easily read form. I have, however, not found any research on how computers can help non-expert humans trying to read handwritten documents. In this project I have focused especially on beginning genealogists as reading gets easier with practice, and you need the help more in the beginning. By conducting interviews and observations with genealogists I established that reading is an issue and that there are many factors involved that make it difficult to read.

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 Thesis purpose is in the context of system development validate the Scrum Methodology. Projects concerning information technology are difficult to manage and tend to fail in quality, time or costs. Scrum presents a new view of the system development. Better cooperation between customers and developers, continuous follow-up on daily basis and extensive communication in the development team are all characteristics of Scrum. Scrum is described as a new paradigm by its founders but has been criticized by experts of system development too.

There are a large number of studies on colour and its influence on human feelings, but thereare only a few studies on the association between feelings and colour combinations. Thisstudie investigates the association between colour combinations consisting of three equallysized colours and the feelings they convey. The methodology used in this studie follows theinstructions from the Nippon Colour & Design Research Institute (NCD) in Japan, NCD havestudied consumer psychology towards colour and colour combinations for several decades.This study used semantically differential scales to evaluate existing colour combinations fromNCD to descriptive adjectives and creation of new colour combinations to explore therelationship between colour combinations and conveyed feelings. A total of 69 peopleparticipated in the tests. The main conclusions formed by this study are: (1) the feelingsconnected with the colour combinations differ partly between the Swedish population and theNCD and (2) the Swedish population have similar feeling associations to most colourcombinations, except for trend dependent adjectives such asmodern, cool etc.

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.

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.