AbstractJerfström, M. (2013). Mission overweight and obesity ? how do child-care centers operate? C-thesis in Public Health. Faculty of Health and Occupational Studies.

This study analyzes the discursive content of four history textbooks in order to demonstrate how national identities are formed and how they differ from each other. This was done through discourse analysis guided by social constructivism and John M. Hobson?s dichotomy of East and West. The study shows that textbooks mainly construct national identities in three ways; first by making a clear distinction between ?The Self? and ?The Other?, second by preserving a world order based on the notions of the invariant hegemony of the nation-state, and third by utilizing stereotype based dissimilarities in order to accentuate existing differences between nationalities. Implicit ideals and values in the historical discourse play an important part in the construction of identities; however sends a contradictory and ambiguous message.

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Idag råder det stor konkurrens mellan kommuner, regioner och länder gällande människors uppmärksamhet och val av både bostadsort och resemål. För att en destination ska verka attraktiv för en potentiell besökare är det viktigt att destinationen har en bra image. Om de som bor på orten, det vill säga de med bäst kunskap om orten, inte trivs eller talar illa om orten påverkar det destinationens image negativt. För om de som har bäst kunskap om destinationen inte trivs eller talar gott om orten, vem ska då lockas till att besöka den? Med det som bakgrund ville vi undersöka hur invånarna i våra hemorter, Boden och Mariestad, uppfattar sin hemort, vad sprider de för bild om orten utåt och hur kan orterna arbeta för att förbättra detta?Syftet med föreliggande uppsats är att utveckla strategier för Boden och Mariestad om hur de kan ta hjälp av upplevelseproduktion för att uppnå stoltare invånare, som i sin tur talar gott om sin hemort i möte med utomstående.

There are several methods avaliable to find areas of interest, but most fail at detecting such areas in cluttered scenes. In this paper two methods will be presented and tested in a qualitative perspective. The first is the darg operator, which is used to detect three dimensional convex or concave objects by calculating the derivative of the argument of the gradient in one direction of four rotated versions. The four versions are thereafter added together in their original orientation. A multi scale version is recommended to avoid the problem that the standard deviation of the Gaussians, combined with the derivatives, controls the scale of the object, which is detected.

The SAB-system (Klassifikationssystem för svenska bibliotek) was created almost a hundred years ago and has often been viewed as insufficient among many academic libraries. KB (Kungliga Biblioteket) has therefore decided to change to DDC (Dewey Decimal Classification) which means that the Swedish libraries are now facing a challenge that involves a change to a new classification system. This is a comparable situation that occured when the SAB-system was created. The aim of this Master?s thesis is to examine the Swedish library sector´s approach to a new classification system, first to the SAB-system and then to DDC.

Ett starkt arbetsgivarvarumärke blir allt viktigare för att attrahera, rekrytera och behålla medarbetare. Vårt uppdrag har varit att studera vilka faktorer medarbetare i Skellefteå kommun ser som attraktiva med sin arbetsgivare. Studiens syfte har varit att undersöka och skapa en djupare förståelse för vad medarbetarna inom identifierade bristyrken i Skellefteå kommun upplever som attraktiva faktorer hos arbetsgivaren och arbetet, samt vad medarbetarna har för syn på organisationens image. Tillvägagångssättet för vår studie har utgått från kvalitativa fokusgruppsintervjuer samt en gruppintervju. De resultat som framkommit från intervjuerna har analyserats för att nå en slutsats samt för att svara på studiens syfte och frågeställningar.

The subject of this thesis is the application of Support Vector Machines on two totally different applications, facial expressions recognition and remote sensing.The basic idea of kernel algorithms is to transpose input data in a higher dimensional space, the feature space, in which linear operations on the data can be processed more easily. These operations in the feature space can be expressed in terms of input data thanks to the kernel functions. Support Vector Machines is a classifier using this kernel method by computing, in the feature space and on basis of examples of the different classes, hyperplanes that separate the classes. The hyperplanes in the feature space correspond to non linear surfaces in the input space.Concerning facial expressions, the aim is to train and test a classifier able to recognise, on basis of some pictures of faces, which emotion (among these six ones: anger, disgust, fear, joy, sad, and surprise) that is expressed by the person in the picture. In this application, each picture has to be seen has a point in an N-dimensional space where N is the number of pixels in the image.The second application is the detection of camouflage nets hidden in vegetation using a hyperspectral image taken by an aircraft.

The concept of corporate social responsibility (CSR) has lately gained popularity throughout the globalized world. Swedish retail industry is no exception. Though increased levels of explicitly claimed responsibilities of companies, a number of other facts points out a development that contradicts this trend. Labour conditions and forms of employment is substantially retrograding, with an increased level of insecurity characterizing the Swedish retail labour market. At the same time, almost all Swedish retail companies explicitly state claims on social responsibility.

The aim of this thesis is to describe the subject indexing of images performed at the provincial museum of Jämtland and to evaluate the inter-indexer consistency at the museum. The main questions are: How are photographs indexed in the database SOFIE foto regarding Outline-codes, subject headings and natural language keywords? How does these procedures compare to research and indexing projects? How consistent are the indexers at the museum when choosing Outline-codes, subject headings and natural language keywords? Answers are sought by reading articles about classification, image indexing, indexing language, indexing consistency and by looking at a number of projects attempting to standardise image indexing practice in Sweden. The indexing practice at the museum is also described. In addition a minor inter-indexing consistency study, based on the subject indexing of ten photographs made by five indexers at the museum, is performed.

Syfte: Arbetet syftar till att undersöka Försäkringskassans imagearbete och hur de arbetar med att skapa en image som rättvist avspeglar den nya identiteten ?Den Nya Försäkringskassan?.Metod: Vi utgår ifrån ett hermeneutiskt tolkande perspektiv för att skapa djupare förståelse i det som undersöks. Detta kombineras med en abduktiv ansats vid alstringen av kunskap där vi väger teori och empiri lika tungt, samt skapar dessa med hänsyn till varandra. Datainsamlingen består av både kvantitativa och kvalitativa insamlingsmetoder så som primärdata i form av semistruktureradeintervjuer och en enkätundersökning. Sekundärdata genom årsredovisning och budgetunderlag.

The purpose of this thesis is to analyze the perception of Christianity in nine textbooks andidentify changes in-between them and over time. The content of the textbooks will also bediscussed in relation to the steering documents connected to each book.I have chosen to focus on three curriculums, Lgy 70, Lpf 94 and Gy 11. My researchquestions are: how Christianity is treated in textbooks in religious studies in relation to theperception of Jesus, God and man? What are the differences/similarities across time andlearning materials? In what way does the textbooks change with the syllabuses?Text consumption and discursive practices is analyzed with the help of a set of tools thatare based on the critical discourse analysis and Fairclough's three-dimensional model. Theimage of Jesus, if described by a textbook, is also analysed.Three textbooks were chosen from each curricula.

The purpose of this study was to analyze the two thinning models: Bergvik Skog´s thinning model, which is based on total stems and dominant height, And Swedish forest agency´s thinning model which is based on basal area, habitat index, dominant height and recommended number of stems at final felling in Heureka´s StandWise and PlanWise. The data we chosen for our study were taken from the Swedish National Forest Inventory and we were creating a simulated stand based on a great number of sample plots in Region three from The Swedish National Forest Inventory. We had chosen to create one stand with low habitat index (T20) and one with high habitat index (T24). Our purpose were to come as close as possible to a natural stand in central Sweden. We performed the thinning in StandWise and analyzed the data I Excel files. Our thinning optimizing´s were performed and analyzed in PlanWise. There wasn´t any big differences between the thinning on the lower habitat index.

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BakgrundSamordningsförbundet i Trelleborg är ett nybildat förbund som samordnar och finansierar projekt som genomförs av Arbetsförmedlingen, Försäkringskassan, Region Skåne och Trelleborgs kommun. Samordningen ska förhindra att personer, som på grund av sjukdom är utan förvärvsarbete, hamnar i en gråzon mellan myndigheterna och inte får tillräckligt stöd. Samordningsförbundet önskar kommunicera mer effektivt och aktivt inom och utanför förbundet men har inget planerat kommunikationsarbete.Syfte Studien ger kunskap om förbundets identitet och image med avsikt att skapa en övergripande plan för profilering. Utifrån resultaten tas strategier fram för kommunikationsinsatser med olika målgrupper. Genomförande En fallstudie har genomförts av Samordningsförbundet.