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 explosion of information technology has given users direct access to an ocean of information. Increased availability puts increasing demands on the ability of students and researchers to search for, filter, and structure information. In response, the role of the research library has shifted from being primarily an information resource to being an educational resource with a focus on teaching users what is known as information literacy. This thesis is a study of user-education at the Karolinska Institute Library KIB, the largest medical library in the Nordic countries. KIB has invested significant resources in developing user-education, and has a full-time user-education developer and a formal pedagogical platform for user-education.

Huvudsyftet med denna studie är att mäta sambanden mellan de svenska indikatorerna DVIS samt Konjunkturbarometern Hushåll gentemot Stockholmsbörsen, och jämföra resultaten mot observationer från tidigare studier på utländska marknader. Studien belyser samtidigt svårigheterna med att mäta marknadssentiment på ett sådant sätt som eftersträvas för att kunna förklara irrationella marknadsrörelser eller uppkomsten av bubblor. För att uppnå huvudsyftet analyseras månadsvisa medelvärden mellan 2001 och 2008 genom bivarat analys, där de tidigare nämnda indikatorerna, som antas motsvara marknadssentimentet, jämförs mot OMXS30 samt fyra urval av aktier, som representerar aktiemarknadens avkastning. Totalt analyseras 40 aktier utifrån omsättning och börsvärde. Signifikanta samband påträffas mellan båda indikatorerna och Stockholmsbörsens utveckling, vilket givet antagandet att dessa speglar marknadssentiment indikerar att marknadspsykologi har en väsentlig påverkan på aktiemarknadens prisnivå.

The aim: was to describe and compare a group of experts and critical care nurses' agreement in detecting delirium in intubated, ventilator treated patients with sedation / analgesia, before and after an in house training intervention with the instrument Confusion Assessment Method for the Intensive Care Unit (CAM-ICU).Method: A quasi-experimental study, one group pretest - posttest design. A convenience sample of 17 critical care nurses in a general intensive care unit included. To detect delirium the instrument CAM-ICU was used, 21 paired tests before and 22 after an educational intervention.Main Results: The results showed that after an in house training intervention sensitivity and kappa coefficient improved of the characteristic 1 "acute onset and fluctuating course," an improvement that was significant. In other features, and overall values were signs of numerical improvement and deterioration in sensitivity, specificity and kappa coefficient but no significant change.Conclusion: Implementing a new instrument for detecting delirium in clinical practice requires education and follow-up. A small sample of critical care nurses with varying ability to use the new instrument and the fact that patients' status may change rapidly making it difficult to draw any conclusions from this study.

Beacon AB has been producing Gobos for some time. A Gobo is a small round sheet used in projectors almost like a slide. It is used mostly in the commercial and entertainment business. Today these Gobos are created by using a film (also called mask). A digital exposure machine called LIOS has been developed to make it possible to create Gobos using direct exposure.

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.

Storage of biomass is associated with problems like heat development, biomasslosses, and reduction of the fuel quality. Certain processes such as biological- andchemical degradation are responsible for these storage problems. This master?sthesis was carried out at Vattenfall Research and Development AB and is alignedtowards quantifying the biomass losses from short-term storage (1-2 months) ofbark and recovered wood. The biomass was stored in outdoor piles during differentseasons, campaign 1 (summer) and campaign 2 (autumn).

One of the social services primary missions is to protect children from suffering harm. Social service work should work based on the child?s best and have the child's perspective in mind. In all cases involving children, the focus is on the child's needs and interests and is regulated in Convention on the Rights of the Child (CRC). Both of the previous research and this study reveal the various markers that are evident in the social services handling of honor related cases.

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.

In a time when concern for the environment is a topic that is met with both love and hatred, organic goods and services become increasingly common on the market. Communication efforts with the purpose of increasing the proportion of organic products consumed are being conducted by both private and public actors. However, achieving attitudinal and behavioral change within complex areas such as this comes with many difficulties.Within public opinion change, a common way of achieving a change in behavior is to use fear appeals and scare tactics. Earlier studies have shown that messages prompting a low level of fear can be more effective than messages prompting a high level of fear, since a high level of fear tends to raise defense mechanisms in the consumer. The purpose of this essay is to examine whether fear and defense mechanisms is a problem when it comes to making consumers choose organic products, as well as studying whether messages prompting low levels of fear are more effective than those prompting high levels of fear.This quantitative study is conducted in the form of a questionnaire-based experiment, comparing the effectiveness of two messages prompting different levels of fear.

Adherence to medical ordination is low and for long-time medication it is estimated to be as low as 50 percent. Depending on the prescribed drug this could lead to adverse effects and/or loss of effect of the drug. Information about why a drug is prescribed is important patient information and is thought to help increase compliance with the physician?s prescription. According to results from a recent study of visits to the emergency room at Karolinska Universitetssjukhuset in Solna, Stockholm, medically related problems were the cause in about 30 percent of the cases.

The main focus of this master?s thesis concerns the relation between subject representation, power and gender. Classification systems and subject heading lists are products of their cultural and social context and some subjects and disciplines are given a greater value than others. Our aim in this thesis is twofold; to discuss and critically analyse the prevailing gender norms that are expressed trough classification systems and subject heading lists and to examine how they manage to represent gender studies as a multidisciplinary subject in theory as well as in practice. We are also discussing the particular problems with the representation of multidisciplinary subjects in general.

Bakgrund: Evidens styrker att teamrehabilitering är en lämplig rehabiliteringsform för patienter med reumatiska sjukdomar. Gruppträning har i tidigare studier visat goda resultat för personer med reumatisk sjukdom. Dock är forskning om den subjektiva upplevelsen av gruppträningen bristfällig.Syfte: Syftet med studien är att ur ett socialkognitivt perspektiv undersöka vilka upplevelser och erfarenheter deltagare med reumatisk sjukdom fått av den gruppträning som ingår i teamrehabiliteringen.Metod: Studien har en kvalitativ design med induktiv ansats. Semistrukturerade intervjuer utfördes. Fem deltagare inkluderades och det insamlade materialet analyserades genom en kvalitativ innehållsanalys.Resultat: Det framkom att deltagarna hade en positiv uppfattning om teamrehabiliteringen och att de tog med sig många erfarenheter därifrån.

A manufacturing machine at the engineering company Sandvik Coromant has a positioning table which task is to move an item linearly. The positioning table has a linear motor capable of high velocity and acceleration. This makes it possible to achieve short cycle times and a more profitable production.The purpose of this thesis is to bring forward a new concept which is more adapted to the requirements of the positioning table. The reason is that the current positioning table provides an unnecessarily positioning accuracy of 0.01 mm, while the requirement for the positioning accuracy is just 0.1 mm. The goal is to reduce manufacturing and component costs.To develop a suitable solution an approach for the concept development process has been performed.

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.