One must consider cost effectiveness when deciding how resources within the health sector should be distributed. Quality adjusted life years (QALYs) are used to measure the value of different medical treatments. QALY is based on utility maximization theory, which suggests that a QALY is always a QALY regardless of who receives it. Therefore, a produced QALY is worth the same regardless of the age or the initial health of the patient. Previous research has shown that these assumptions do not seem to fit the real preferences of individuals.

There exist several known methods for calculation of radio coverage for ground-based systems. As far as we know there are no equivalent methods for the case of flying platforms when the altitudes and speeds are significantly different to those of ground-based systems. This thesis describes the theoretical concepts behind calculations of radio coverage for flying platforms. An investigation is made to sort out what is important and possible to employ in a model for simulations. A method is described and implemented in a program for evaluation of flying radio systems.

The purpose of my study was to visualize how teachers works with multilingual children in pre-school, the methods used to stimulate and develop primary and secondary language and how teachers does see second languages development with the help of the primary language. The study consists of qualitative methods in form of interviews which are made with four teachers who work within the pre-school. The findings during the collection of data (interviews) are going to be connected to the relevant literature on the subject I have chosen.The result showed that the concrete materials are used to stimulate and develop primary- as the secondary language and that the teachers have different opinions on secondary languages development with the help of primary language even if the primary language seems to be an important asset of all teachers that I interviewed..

Manual signs are an augmentative and alternative communication mode which enables and facilitates communication for persons with impairments in speech, language and hearing. There are different ways of teaching signs to persons with intellectual disabilities. One of them is milieu teaching, which is a method where the teaching takes place in natural settings. This method has proven to give good results in generalization and maintenance. Teaching signs to staff in groups has been shown to be effective.

This paper describes the evolutionary development of an information system for a small company. The company performs overhaul of forklifts and cleaning machines. The company has already an information system that handles the reports from these overhauls but it needs a supplementary tool that assist the chief planner to plan forthcoming overhauls.It should be able to display coming overhauls in a timetable and eventually print them, either to a PDF file or to a document. The timetables this function produces will help the chief planner and the assemblers to get a good overview of their day-to-day work.The tool needs to be intelligent in that way that it takes into consideration were in the country different assignments will be performed. So that time consuming travels over great distances can be avoided.

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.

This paper shortly describes the coronavirus family, bovine corona viruses (BCV) properties and two diseases that BCV causes, winter dysentery and calf diarrhoea. The purpose of the study was to compare different diagnostic methods to detect BCV. Different methods are discussed, PCR, ELISA, immunofluorescense and virus isolation. Investigations were made in three different herds with winter dysentery; one dairy cattle farm with about 100 cows of different ages, one testing station for bulls with about 150 bulls and another small dairy cattle farm with 26 cows and 20 replacement heifers and calves. Faeces and nasal swabs were analysed with PCR and ELISA. The result shows that PCR seems to be a reliable method for detecting BCV but that the ELISA test can not be used as a reliable diagnostic method to analyse samples from animals with winter dysentery..

The development of productivity in the construction industry has long been at a steady state compared to the manufacturing industry. Studies have shown that, amongst other things, waste on construction sites can reach up to one third of the total production cost. This has been observed from different aspects, and change is forthcoming.This thesis aims to provide a foundation for an increased productivity at production sites of building bridges. It is primarily based on a field study at Skanska, at a bridge construction site near Grängesberg. Via continuous interviews with the whole production crew, construction workers and management, information on interference and possibilities of improvement at the work site has been documented.

The purpose of my study is to determine students? attitudes to the Natural Science subject. I want to contribute to scientific discourse about different learning styles that can respond to childrens? requirements in teaching as well as to determine the student?s experience of learning styles. The studies were carried out at an upper secondary school in Stockholm (spring term 2011) for three different classes.

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.