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The purpose of this investigation was to explore how decision situations with varying degrees of perceived risk affect people’s attitudes to human and artificial intelligence (AI) decision-making support. While previous studies have focused on the trust, fairness, reliability and fear of artificial intelligence, robots and algorithms in relation to decision support, the risk inherent in the decision situation has been largely ignored. An online survey with a mixed approach was conducted to investigate artificial intelligence and human decision support in risky situations. Two scenarios were presented to the survey participants. In the scenario where the perceived situational risk was low, selecting a restaurant, people expressed a positive attitude towards relying on and accepting recommendations provided by an AI. In contrast, in the perceived high-risk scenario, purchasing a home, people expressed an equal reluctance to rely on or accept both AI and human recommendations. The limitations of this investigation are primarily related to the challenges of creating a common understanding of concepts such as AI and a relatively homogenous survey group. The implication of this study is that AI may currently be best applied to situations characterized by perceived low risk if the intention is to convince people to rely on and accept AI recommendations, and in the future if AI becomes autonomous, to accept decisions.

This report analyzes the consequences of the proposed changes to the revenue framework presented in the report Ei R2017:07. The analysis is made for Mellersta Skånes Kraft, a small electricity grid company located in the countryside of Skåne county. The analysis presents investment proposals for future regulatory periods. Energimarknadsinspektionen controls electricity grid owners revenues by setting a revenue framework they are obligated to follow. The revenue framework is divided into regulatory periods that extends over four years, before each regulatory period the regulatory framework is reviewed. This can entail burdensome administrative work, especially for small electricity grid companies as they do not always have the time or resources to fully evaluate the consequences of the changes that are about to come. The analysis is based on Ei's proposal to change their determination of depreciation times, determination of WACC and their age determination of specific parts of the power grid. In the result, the revenue frame is presented for two investment options as well as for the existing electricity grid in selected areas in the MSK grid. The result shows that the revenue framework will fall considerably between the current and future regulatory period, much due to the companies’ WACC is expected to decrease and the proposal to abolish the 38-year rule.

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Bakgrund: I Sverige utförs cirka 40 000 koronarangiografier årligen. I samband med koronarangiografi används intraarteriellt jodkontrastmedel. Tyreoidea (sköldkörteln) är avgörande för metabolismen och hormonproduktionen kan påverkas av jod-injicering. Skador och biverkningar på tyreoidea efter jodkontrast tillförsel är inte lika omdiskuterat som inducerade njurskador. Syfte: Syftet var att sammanställa hur tyreoidea påverkas av intraarteriellt jodkontrastmedel efter koronarangiografi.Metod:Denna studie genomfördessom en allmän litteraturstudie. Databaserna PubMed och Cinahl användes och totalt inkluderades och analyserades 10 vetenskapliga artiklar i resultatet. Resultat:Studiens resultat sammanfattades i två kategorier; Patienter med “eutyroid (frisk) tyreoidea” och patienter med “avvikande tyreoidea” före studiernas start. Resultatet för varje kategori visade hur tyreoidea påverkades efter en koronarangiografi med jodkontrastmedel. Båda kategorierna visade att det förekom patienter som utvecklade olika former av tyreoideadysfunktion. Slutsats: Rapportens resultat samstämmer med de nationella rekommendationerna för jodkontrastmedel att hänsyn ska tas till patientens tyreoideastatus före en koronarangiografi. Detta för att eventuellt kunna premedicinera riskpatienter och uppmana remittenten om uppföljning av fritt T3, fritt T4 och TSH.

Waiting lines is something people experience every day but many  people still hate them especially at grocery stores. For many years, the manual barcode reader has been optimal solution to deal with waiting lines at grocery stores. But, recently, Amazon and Hypercity have  shown that it could be more effective to use mobile self – checkout services to remove waiting lines. In Sweden, the idea of having a mobile self – checkout service has not yet reached out to the larger part of the market. There is, therefore, possible to benefit from introducing a mobile self – checkout service before the competitions start to move. The purpose of this study has, therefore, been to design a mobile  self – checkout service for grocery stores which fulfills the user  experiences better than available self - checkout services. The research has been conducted through a case study, this has been done to  understand the depth of the customers’ user experiences. The result has shown that people don’t like to spend too much time learning a new system and want to be competent at carrying out tasks without too much effort. The result concludes that users have high requirements for efficiency, this is because they want to perform their intended tasks without having to waste much time. The users desire to carry out their tasks with as few steps as possible. If possible, the users want tasks to be completed similar to Amazons 1 – Click technique which allows  customers to make online purchases with a single click.

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