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.

Ledning är en av de sex militära grundförmågorna i vår doktrin, ledningens syfte är att inrikta en militär insats mot ett gemensamt militärt mål och att samordna de militära resurser som behövs för att lösa uppgiften. Vår doktrin har till uppgift att förmedla ett gemensamt förhållningssätt för att skapa ett gemensamt språk mellan staber, chefer och underlydande som underlättar ledning. Doktrinen till trots så finns en begreppsförvirring inom ledning där att leda, ledning och ledarskap inte särskiljs den här undersökningen studerar varför det råder en begreppsförvirring inom ledning.Genom en jämförande studie mellan den svenska doktrinen och den brittiska motsvarigheten mäter undersökningen hur väl doktrinerna skildrar ett ledningssystem och förmedlar ett militärt ledarskap i förhållande till de två teorierna; dynamiska OODA-loopen och utvecklande ledarskap.Undersökningens resultat pekar på att den svenska doktrinen beskriver hur funktionen ledning ska genomföras för att befrämja uppdragstaktik. Begreppsförvirringen uppstår eftersom den svenska doktrinen beskriver ett hur men inte ett varför eller ett vad ledning ska göra, vilket ger olika beskrivningar av ledning på olika militära ledningsnivåer.

Bakgrund: Reumatoid atrit (RA) är en av de mest kända reumatiska sjukdomarna och kan beskrivas som en kronisk, systemisk, inflammatorisk sjukdom. Sjukdomen drabbar ca 1 % av befolkningen. Fysiologiska och anatomiska störningar som kan drabba personer med RA är rörelse- och belastningssmärta, nedsatt rörlighet, leddeformitet, nedsatt muskelfunktion och nedsatt kondition. Syfte: Att undersöka vilka metoder för, och vilka effekter av, fysisk träning som fanns dokumenterade i vetenskaplig litteratur för personer med reumatoid artrit. Metod: En datasökning gjordes på databaserna PubMed, SweMed + och Cochrane.

The school can be seen as a place that reflects the wider community. Here is a school welfare officer an important representative of the school social work. The main subject of our study is to clarify how the school welfare officers? talk about documentation in the individual meeting with the pupil. Through individual interviews with five school welfare officers in elementary schools in three municipalities in the southern part ofSweden, we have attempted to explore these main research question.In addition to qualitative interviews we have accomplished a survey study that included 178 school welfare officers throughout the country.The result of our two studies demonstrates the school welfare officers? free work where the choice to document or not is wide.

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 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.