The purpose of this study was to examine the goals, possibilities and rationales that could be found in the discussions concerning the digging of ditches by governmental subsidiaries in order to drain the peat bogs of late nineteenth century Sweden. A further aim was to look at the effect on the landscape on a local level i.e. Släthults moss in Bäckaby parish, Småland in the south eastern part of Sweden. In order to be able to explain the connections between politics and landscape changes in a local population and its deciding bodies, influenced by ideas, science and production, a quadruple helix model developed from a triple helix model by Björn-Ola Linér was used. As a model of environmental history, three step thought was used, borrowed from Donald Worster.

Dairy farms have during a long time been under pressure and this situation was aggravated during the spring and summer of 2009, when profitability declined to historically low levels. Lower milk price and relatively high input prices have caused Swedish dairy farms great liquidity concerns and profitability problems. For a long time, Denmark has been identified as a leading country for the agrarian development with a leading structural rationalization and willingness to grow. In 2009, it was shown that the Danish agriculture, which is generally more leveraged, has difficulties in maintaining profitability and when market price of land started to fall, the proportion of technically insolvent agricultural enterprises rose dramatically. In light of this prevailing situation, this study highlights differences between Denmark and Sweden with the hope to learn from each other.

In the wake of a heightened interest in the Swedish Middle Ages, the need for knowledge has increased as well. The Swedish Middle Ages was an era when the country truly began to grow closer to the European sphere of culture. The forces behind this transformation are largely to be sought among the social elite, the budding aristocracy of Sweden. The process of becoming ?Europeans? brought with it great changes to Sweden, not the least in terms of the political arena.

The purpose of this study has been to investigate the prospects for Identifying and prosecuting individuals suspected of war crimes, within the process of exclusion from refugee status under article 1F(a) of the 1951 Refugee Convention, and using subsequent mechanisms for extradition or prosecution in international criminal law. A number of principles within human rights law and public international law have been advocated by the UNCHR and several human rights NGOs as necessary for a thorough application of the exclusion clauses; one that takes individual responsibility into account and upholds the aims and purposes of the exclusion clauses. There is a discussion as to whether specialised or accelerated exclusion procedures are justified for reasons of security and efficiency, or if they put the rights of the individual at risk and limit the opportunities for gathering information to support investigation and prosecution of the crime in question. Apart from the instruments of asylum law and procedure that have emerged within the EU harmonisation process, there are no general, binding rules on the procedural aspects of the exclusion clauses. One principle that regulates the consequences for the individual of exclusion from refugee status and decisions on extradition is, however, the principle of non-refoulement.

This report is made as a literature review, focusing on the work done to increase understanding of efficiency in the categories of substations and secondary heating systems, with respect to the deviation from the theoretically possible cooling off in the distribution network as well as the economic benefit that appear. The main purpose of a considerable part of the literature used in this report addresses the issue of Identifying individual causes of reduced cooling in district heating systems. These literature resources have been compiled and summarized as part of the report.The technology of district heating is associated with benefits such as better use of the energy in a fuel. This is the case of cogeneration plants where serial generation of electricity and thermal energy increases efficiency compared with the parallel generation where heat is generated locally and electricity is generated centrally. Serial generation thus allows for lower primary energy demand.

Focus of this study was on the underlying values behind consumers buying motives at the point of purchase of meat products in Sweden. Meat consumption in Sweden has increased and in 2012, almost 50% of all meat consumed was imported (SJV, 2013). This is the case despite of the fact that consumers frequently state the importance of Swedish country of origin on the meat products they purchase (www, LRF, 2, 2006). A rising public awareness about health, environmental issues, animal welfare and food safety coupled to meat consumption and meat production is scrutinized both from media and consumers. Due to rising concerns of production-methods of meat, consumers wants to make informed purchasing decisions of the meat they purchase (BEUC, 2013).

AbstractIntroduction: Hand Arm Risk Assessment Method (HARM) is a tool to assess the risks of deve­lo­ping complaints of the arm, neck or shoulders during manual work. The method was developed in the Netherlands primarily for employers, but is also used as an aid to work environment in­spec­tors. The purpose of this study was to evaluate the HARM-method for assessment of biomecha­nical exposure of the upper limbs when performing manual tasks as well as its suitability to be used within work environment inspection. Methods: Ten labour inspectors conducted assessments of five video-recorded work tasks. Assess­ments made with HARM were compared with those made with the Assessment of Re­pe­titive Tasks (ART) tool and with ACGIH Hand Actvity Level (HAL) - both methods for assess­ment of bio­mecha­nical exposure of the upper limbs - and with the model for the assessment of re­pe­titive work in the pro­visions of the Swedish Work Environ­ment Autho­rity on ergonomics for the prevention of mus­culo­skeletal disorders, AFS 1998:1.

Evaluations of open Ditch status and function, with an assessment of suitability of a conversion to a two stage ditch as a low maintenance alternative. To illustrate Swedish drainage problems this work focused on two agricultural drainage associations assessed in detail with a new method called MADRAS (Minnesota Agricultural Ditch Reach Assessment for Stability). With the assessment of the MADRAS method estimates were made to conclude the ditches operating problems. This was made through measurements of sediment depths, mass bank failures etc. in order to quantify ditch problems and propose practical actions for improved ditch stability and water quality. The MADRAS surveys were conducted in two main ditches that drains 2900 hectares of land on the northern shores of Mälaren. In the study measurements of the ditch cross-sections were also conducted to compare actual profiles with the original map profiles. The evaluation showed that parts of the studied ditch sections were operatively poor; main reason was mass bank failure, undercut channel banks, sediment aggregations and narrowed ditches. The profile survey shows that a majority of the profiles 80 % has sediment accumulations there remains only 64 % of the original profile from the map.

Bakgrund: I Sverige dör cirka 95 000 människor varje år och runt 80 % av dessa är i behov av palliativ vård. Palliativ vård är en vårdfilosofi som bygger på att ge stödjande och lindrande vård när botande vård inte längre är genomförbar. Vid den tidpunkt när patienten drabbats av en obotlig sjukdom sker en brytpunkt, vilket innebär att läkaren identifierar patientens aktuella tillstånd. När brytpunkten är identifierad erbjuds ett brytpunktsamtal. I samtalet planeras det för den kommande palliativa vården.

På aktiemarknaden skapas och förloras förmögenheter varje dag då investerare försöker förutspå marknadens upp och nedgångar. En av förutsättningarna för att skapa en förmögenhet inom aktiehandeln krävs bland annat en intuition för att förutspå och tolka marknaden, men allra viktigast är en bred kunskapsbas i kombination med tillgodosedd information från externa källor. Processen för hur kunskap hanteras och överförs inom en organisation kallas, Knowledge management eller kunskapshantering. Fungerar denna process bra så medför den flera fördelar inom organisationen; information behandlas snabbare, anställda kan fatta rätt beslut kvickare och kunskap behöver inte läras om på nytt. Vikten av att kunna fatta snabba beslut i osäkra och ständigt förändrande miljöer är något som starkt kan kännas igen på aktiemarknaden där ett snabbt beslut kan vara skillnaden på vinst och förlust.Syftet med denna rapport är att skapa förståelse för hur kunskapsutbytet sker inom Trading & Execution vid personalomsättning och upplärning på Capital Markets, Handelsbanken AB, Sverige.

This master thesis investigates the possibilities of using GPS-information from trains to create a model of a railway system, register the routes of the the trains and predict how the trains will travel in the railway system.The thesis work was done at Icomera AB which is a company that specializes in internet connected vehicle solutions.We describe how the GPS-information is sent from the trains in the form of samples and investigate limitations and possibilities with the available information. About three million samples from 83 SJ-trains were analysed and the samples were filtered with the intent of removing erroneous information. We here found that about 30 % of the samples from the trains were unreliable.A solution for how the samples from the trains can be used to create a model of the railway system traveled by the trains is presented. We use a large set of historical samples and use cluster nodes and Hermite curves to generate a graph that represent the railway system with stations, nodes and the railway itself. A fully automatic solution is not presented since it did not fit into the time frame of the thesis; instead we created a simple tool which can be used to manually finish the model of the railway system.Furthermore, we describe how the railway system and the samples from the train can be used to register the routes the trains travel.

This master thesis investigates the possibilities of using GPS-information from trains to create a model of a railway system, register the routes of the the trains and predict how the trains will travel in the railway system.The thesis work was done at Icomera AB which is a company that specializes in internet connected vehicle solutions.We describe how the GPS-information is sent from the trains in the form of samples and investigate limitations and possibilities with the available information. About three million samples from 83 SJ-trains were analysed and the samples were filtered with the intent of removing erroneous information. We here found that about 30 % of the samples from the trains were unreliable.A solution for how the samples from the trains can be used to create a model of the railway system traveled by the trains is presented. We use a large set of historical samples and use cluster nodes and Hermite curves to generate a graph that represent the railway system with stations, nodes and the railway itself. A fully automatic solution is not presented since it did not fit into the time frame of the thesis; instead we created a simple tool which can be used to manually finish the model of the railway system.Furthermore, we describe how the railway system and the samples from the train can be used to register the routes the trains travel.

This master thesis investigates the possibilities of using GPS-information from trains to create a model of a railway system, register the routes of the the trains and predict how the trains will travel in the railway system.The thesis work was done at Icomera AB which is a company that specializes in internet connected vehicle solutions.We describe how the GPS-information is sent from the trains in the form of samples and investigate limitations and possibilities with the available information. About three million samples from 83 SJ-trains were analysed and the samples were filtered with the intent of removing erroneous information. We here found that about 30 % of the samples from the trains were unreliable.A solution for how the samples from the trains can be used to create a model of the railway system traveled by the trains is presented. We use a large set of historical samples and use cluster nodes and Hermite curves to generate a graph that represent the railway system with stations, nodes and the railway itself. A fully automatic solution is not presented since it did not fit into the time frame of the thesis; instead we created a simple tool which can be used to manually finish the model of the railway system.Furthermore, we describe how the railway system and the samples from the train can be used to register the routes the trains travel.

This master thesis investigates the possibilities of using GPS-information from trains to create a model of a railway system, register the routes of the the trains and predict how the trains will travel in the railway system.The thesis work was done at Icomera AB which is a company that specializes in internet connected vehicle solutions.We describe how the GPS-information is sent from the trains in the form of samples and investigate limitations and possibilities with the available information. About three million samples from 83 SJ-trains were analysed and the samples were filtered with the intent of removing erroneous information. We here found that about 30 % of the samples from the trains were unreliable.A solution for how the samples from the trains can be used to create a model of the railway system traveled by the trains is presented. We use a large set of historical samples and use cluster nodes and Hermite curves to generate a graph that represent the railway system with stations, nodes and the railway itself. A fully automatic solution is not presented since it did not fit into the time frame of the thesis; instead we created a simple tool which can be used to manually finish the model of the railway system.Furthermore, we describe how the railway system and the samples from the train can be used to register the routes the trains travel.

This master thesis investigates the possibilities of using GPS-information from trains to create a model of a railway system, register the routes of the the trains and predict how the trains will travel in the railway system.The thesis work was done at Icomera AB which is a company that specializes in internet connected vehicle solutions.We describe how the GPS-information is sent from the trains in the form of samples and investigate limitations and possibilities with the available information. About three million samples from 83 SJ-trains were analysed and the samples were filtered with the intent of removing erroneous information. We here found that about 30 % of the samples from the trains were unreliable.A solution for how the samples from the trains can be used to create a model of the railway system traveled by the trains is presented. We use a large set of historical samples and use cluster nodes and Hermite curves to generate a graph that represent the railway system with stations, nodes and the railway itself. A fully automatic solution is not presented since it did not fit into the time frame of the thesis; instead we created a simple tool which can be used to manually finish the model of the railway system.Furthermore, we describe how the railway system and the samples from the train can be used to register the routes the trains travel.