8 resultados para Scandinavia

em Dalarna University College Electronic Archive


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In the keynote, major reforestation challenges in Scandinavia will be highlighted. The following countries make up Scandinavia: Iceland, Norway, Sweden, Finland and Denmark. For Iceland, with only a forest cover of 2%, a major reforestation challenge is the deforestation and overgrazing in combination with land degradation and extensive soil erosion. The challenges include the conflicts with livestock farmers. For centuries the commons were used for sheep and horse grazing. However, more and more of farmer grazing land have been fenced up, allowing the regeneration of birch and plantations of other species to increase. With a forest cover of 37% and 69% respectively, for decades a major reforestation challenge in Norway and Sweden has been the risk of seedling damages from the pine weevil. Unprotected seedlings can have a survival rate of less than 25% after being planted. Pine weevils feed on the bark of planted young seedlings at regeneration sites. If the seedling is girdled, it will not survive. In Sweden, and soon in Norway, pesticides have been forbidden. In the keynote, new methods and technology will be presented based on non-chemical protection. In Finland, with a forest cover of 75%, a major reforestation challenge is linked to the forest structure. The structure of Finnish forestry includes many private forests in combination with small regeneration sites. This implies a situation where logistics and methods for lifting and field storage provide a major challenge in order to preserve seedling quality until the planting date. Due to this situation, new logistic systems and technologies are being developed in Finland, including new seedling cultivation programs (including cultivation under Light Emitting Diodes (LEDs)) to match the access of fresh planting stock to different planting dates. In Denmark, with a forest cover of 13%, a major reforestation challenge is the possibility of future plantations based on a wide range of relevant species. For this to become a realistic option, new methods and technology have to be developed in reforestation activities that support this possibility. These methods and technology should make it possible to not be limited to certain species due to problems and restrictions during field establishment. This due to the prospect of establishing stable, healthy, and productive stands of various forest species that can be adapted to future climate change.

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This master’s thesis deals with the cultural diversity policies of Denmark and Sweden within the cultural sector. It attempts at explaining why these two “most-similar” scandinavian countries having in common the same cultural model, “the architect model”, opted for different policies when it came to cultural diversity: Assimilationism for Denmark and multiculturalism for Sweden. I show that though institutional and power-interest factors had an impact, ideas as “programmatic beliefs” (Sheri E. Berman 2001) or “frames” (Erik Bleich 2003) played the ultimate role. I evaluate their relative importance by analyzing the anthropological dimension of the countries cultural policies since 1969. The study confirms that at least in the cultural sector, Danish policies have been assimilationist and Swedish ones multiculturalist and proposes a new classification of terms.By investigating immigrants cultures, it fills a gap left by previous researchers working on a common Nordic cultural model.

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This special issue of Nordic Journal of English Studies is devoted to the research in Irish Studies being carried out in Scandinavia by a group of scholars based in Denmark, Norway and Sweden, as well as scholars associated—in one way or another—with Scandinavia. Denmark is represented by the University of Aalborg; Norway, by scholars affiliated to the Universities of Agder, the Artic University of Norway, Bergen, and Stavanger; and Sweden is represented by scholars from the universities of Dalarna, Göteborg, Stockholm, Södertörn and Umeå. Included also in this special issue is the work of two former students, who completed their Masters’ degree in Irish literature at DUCIS (Dalarna University Centre for Irish Studies), Sweden—from Norway and China respectively. The collection also contains an article by Dara Waldron, Limerick Institute of Technology, Ireland, whof recently presented his research at the Higher Seminar in Dalarna. Contributions by the Irish poet, Mary O’Donnell, who participated in the Nordic Irish Studies Network (NISN) conference, hosted by DUCIS in December 2012, are also included.

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This special issue of Nordic Journal of English Studies is devoted to the research in Irish Studies being carried out in Scandinavia by a group of scholars based in Denmark, Norway and Sweden, as well as scholars associated—in one way or another—with Scandinavia. Denmark is represented by the University of Aalborg; Norway, by scholars affiliated to the Universities of Agder, the Artic University of Norway, Bergen, and Stavanger; and Sweden is represented by scholars from the universities of Dalarna, Göteborg, Stockholm, Södertörn and Umeå. Included also in this special issue is the work of two former students, who completed their Masters’ degree in Irish literature at DUCIS (Dalarna University Centre for Irish Studies), Sweden—from Norway and China respectively. The collection also contains an article by Dara Waldron, Limerick Institute of Technology, Ireland, whof recently presented his research at the Higher Seminar in Dalarna. Contributions by the Irish poet, Mary O’Donnell, who participated in the Nordic Irish Studies Network (NISN) conference, hosted by DUCIS in December 2012, are also included.

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Stora och komplexa kodbaser med bristfällig kodförståelse är ett problem som blir allt vanligare bland företag idag. Bristfällig kodförståelse resulterar i längre tidsåtgång vid underhåll och modifiering av koden, vilket för ett företag leder till ökade kostnader. Clean Code anses enligt somliga vara lösningen på detta problem. Clean Code är en samling riktlinjer och principer för hur man skriver kod som är enkel att förstå och underhålla. Ett kunskapsglapp identifierades vad gäller empirisk data som undersöker Clean Codes påverkan på kodförståelse. Studiens frågeställning var: Hur påverkas förståelsen vid modifiering av kod som är refaktoriserad enligt Clean Code principerna för namngivning och att skriva funktioner? För att undersöka hur Clean Code påverkar kodförståelsen utfördes ett fältexperiment tillsammans med företaget CGM Lab Scandinavia i Borlänge, där data om tidsåtgång och upplevd förståelse hos testdeltagare samlades in och analyserades. Studiens resultat visar ingen tydlig förbättring eller försämring av kodförståelsen då endast den upplevda kodförståelsen verkar påverkas. Alla testdeltagare föredrar Clean Code framför Dirty Code även om tidsåtgången inte påverkas. Detta leder fram till slutsatsen att Clean Codes effekter kanske inte är omedelbara då utvecklare inte hunnit anpassa sig till Clean Code, och därför inte kan utnyttja det till fullo. Studien ger en fingervisning om Clean Codes potential att förbättra kodförståelsen.

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The national railway administrations in Scandinavia, Germany, and Austria mainly resort to manual inspections to control vegetation growth along railway embankments. Manually inspecting railways is slow and time consuming. A more worrying aspect concerns the fact that human observers are often unable to estimate the true cover of vegetation on railway embankments. Further human observers often tend to disagree with each other when more than one observer is engaged for inspection. Lack of proper techniques to identify the true cover of vegetation even result in the excess usage of herbicides; seriously harming the environment and threating the ecology. Hence work in this study has investigated aspects relevant to human variationand agreement to be able to report better inspection routines. This was studied by mainly carrying out two separate yet relevant investigations.First, thirteen observers were separately asked to estimate the vegetation cover in nine imagesacquired (in nadir view) over the railway tracks. All such estimates were compared relatively and an analysis of variance resulted in a significant difference on the observers’ cover estimates (p<0.05). Bearing in difference between the observers, a second follow-up field-study on the railway tracks was initiated and properly investigated. Two railway segments (strata) representingdifferent levels of vegetationwere carefully selected. Five sample plots (each covering an area of one-by-one meter) were randomizedfrom each stratumalong the rails from the aforementioned segments and ten images were acquired in nadir view. Further three observers (with knowledge in the railway maintenance domain) were separately asked to estimate the plant cover by visually examining theplots. Again an analysis of variance resulted in a significant difference on the observers’ cover estimates (p<0.05) confirming the result from the first investigation.The differences in observations are compared against a computer vision algorithm which detects the "true" cover of vegetation in a given image. The true cover is defined as the amount of greenish pixels in each image as detected by the computer vision algorithm. Results achieved through comparison strongly indicate that inconsistency is prevalent among the estimates reported by the observers. Hence, an automated approach reporting the use of computer vision is suggested, thus transferring the manual inspections into objective monitored inspections