AbstractTitle: The ?Investigator? and the ?Updater? ? new patterns of news use among young adults.Number of pages: 48Author: Anna StrinnholmTutor: Amelie HössjerCourse: Media and Communications, D- levelPeriod: Fall of 2005University: Division of Media and Communication, Department of Information Science, Uppsala UniversityPurpose/Aim: The aim of this essay is to provide an description of how daily newspaper, TV, radio and the Internet are used by young adults in order to contribute to Lennar Weibulls model ?a typology of the Swedish mediasystem from an audience perspectiv?.Method/Material: The method of gathering of empirical material has been conducted by interviewing eight people of how they use daily newspapers, TV, radio and The internet to inform themselves of the daily news. The empirical material has then been analysed by applying a two step method, of first making a summary of the interviews and secondly making a comparison with a model of Lennart Weibull ?a typology of the Swedish mediasystem from an audience perspectiv? .Main results:Two different types of ideal media users can be drawn from the empirical research, the ?Investigator? and the ?Updater?. The updater search for news to stay updated and relies on the Internet as main source of information.

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 Internet offers an abundance of information. This information is easy to access in technical terms, however it is difficult to find. At present there is a wide variety of search services to choose from. This master's thesis is about selecting the appropriate search service for a certain question. Are different types of services suitable for different types of questions, and if so, which services for which questions?To answer this, I have undertaken one theoretical and one empirical study.

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.

Our aim with this study is to investigate whether or not Utbildningsradions - which is a public broadcasting agency - educational programmes reproduce the existing gender patterns of the female and male genders. We have chosen to analyse two educational programmes, Home Farm Twins and Rena rama forntiden.We use a social constructionist theory regarding the construction and reproduction of gender and the method we have chosen to use is a qualitative content analysis to study the educational programmes.Our conclusion is that in the case of Home Farm Twins, it reproduces the current stereotypes that exist in society. Rena rama forntiden on the other hand does not, the program has got a clear gender perspective in regards to its content. Though it can be said that in some ways it does not reflect upon the gender patterns that exist in society today, to a satisfactionary extent.Utbildningsradion does not achieve its policy concerning Home Farm Twins, but on the other hand it shows that in the case of Rena rama forntiden they do own up to the standards regarding cultural diversity and creative aim..

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 Master?s thesis aims to map and analyse publishing patterns at two academic departments at the University of Gothenburg - the department of Physics and the department of History. The investigation has been guided by a set of questions: Who chooses to publish their scientific outcomes? In which forums do they publish findings? In what kind of media are the results published? What type of findings get to be published? The departments' publication lists have been examined, covering the years 2004-2007. Furthermore, ten scientists have been asked to describe factors contributing to their individual publishing pattern.

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 purpose of this Master?s thesis is to investigate how librarians solve difficult reference questions. The aim is to discuss the nature of reference work ? do librarians make conscious decisions regarding search strategies or do they rely principally on their instincts, or simply chance. The thesis is a qualitative study.

The purpose of this Master's thesis is to examine if stereotype gender patterns are showing, and how they are showing, in the picture books that have the highest number of loan in Sweden?s three biggest cities. It is also a purpose to show if these gender patterns can be compared to the outlook on gender in the curriculum. The method used is a qualitative text analysis. 13 picture books are analyzed on the basis of Yvonne Hirdman?s theories on gender and Maria Nikolajeva?s theories on children?s literature.

This paper is a literature study on search engine optimization (SEO) considering the leader of the search engine market: Google. There´s an introductory background description of Google and its methods of  crawling the Internet and indexing the web pages, along with a brief review of the famous PageRank algorithm. The purpose of this paper is to describe the major important methods for improved rankings on Google´s result lists. These methods could be categorized as on-page methods tied to the website to be optimized or off-page methods that are external to the website such as link development. Furthermore the most common unethical methods are described, known as ?black hat?, which is the secondary purpose of the text.

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 study investigated how banner ads, depending on its quality and placement,can capture a user's attention while searching for editorial content in an online newspaper. Furthermore, the user's search strategy was also studied to see whether it varied depending on the placement of an ad. An experiment was conducted where 20 subjects searched for articles in a Swedish online newspaper while their eye ovement was recorded with a headmounted eye?tracker. In each search task the online newspaper contained either a low quality ad or a high quality ad.