News on demand considered useless: An explorative assessment of database news publication features

this paper describes the video scenario, details the interviews and their results, answers the main questions tentatively and finaLLy identifies what appears to be promising research direction

Economic relations and economic cooperation between the Nordic countries in the nineteenth century

Aineisto on Opiskelijakirjaston digitoimaa ja Opiskelijakirjasto vastaa aineiston käyttöluvist

Operational prediction of forest attributes using standardised harvester data and airborne laser scanning data in Sweden

With cut-to-length harvesters, tree stems are measured and cut into different timber assortments at the time of felling. These measurement data collected from harvested trees can be used for decision-support at different levels of the forest industry chain and also for forest planning when combined with remote sensing data. The aim of this study was to examine the operational application for predicting merchantable stem volume, basal area, basal area-weighted mean tree height, basal area-weighted mean stem diameter and diameter distribution at stand level with airborne laser scanning data and harvester data from final felling operations. The area-based approach using k-MSN estimation was evaluated for six different variants of spatial partitioning. The results were stand level predictions with relative root mean square errors of 11-14%, 10-15%, 3-4% and 6-7% for merchantable stem volume, basal area, basal area-weighted mean tree height and basal area-weighted mean stem diameter, respectively. Predictions of stem diameter distributions resulted in error indices of 0.13-0.14. The results demonstrate that harvester data from cut forests may serve as ground truth to airborne laser scanning data and provide accurate forest estimates at stand level. The predicted diameter distributions could be useful for improving yield estimates and bucking simulations

Representativeness of personality and involvement preferences in a web-based survey on healthcare decision-making

Background: Obtaining a sample that is representative of the group of interest is of utmost importance in questionnaire studies. In a survey using a state authorized web-portal for citizen communication with authorities, we wanted to investigate the view of adult men on patient involvement in health care decision-making regarding Prostate-Specific Antigen test for prostatic cancer. In this paper, we report on sample characteristics and representativeness of our sample in terms of personality and baseline involvement preferences. Methods: We compared personality profiles (BFI-10) and baseline healthcare decision-making preferences (CPS) in our sample (n = 6756) to internationally available datasets. Pooled data from a) US, UK, Canada, Australia, and New Zealand (n = 1512), b) Germany, Netherlands, Switzerland, and Belgium (n = 1136), and c) Norway, Sweden, Finland, and Denmark (n = 1313) were used for BFI-10 comparisons. Regarding CPS, we compared our sample with three previous datasets relating to decision-making in cancer (n = 425, 387, and 199). Results: Although statistically significant differences particularly appeared in large dataset comparisons, sample BFI-10 and CPS profiles mostly were within the range of those previously reported. Similarity was greatest in BFI-10 comparisons with group a) where no statistically significant difference could be established in factors 'agreeableness' and 'neuroticism' (p = .095 and .578, respectively). Conclusion: Despite some variation, our sample displays personality and baseline preference profiles that are generally similar to those described in previous international studies. For example, this was the case with the BFI-10 'agreeableness' measure (incl. trust and fault-finding items), an important factor in healthcare decision-making

The negative effects of oppression in the recovery process

The aim of this project was to study if and how experiences of oppression on the grounds of mental distress and gender affect the reclaiming and (re)construction of identities in the recovery process. In this study 33 narratives were analysed using framework analysis. The analysis showed that the experience of oppression affected the participants negatively along emotional and psychological pathways and affected their life activities, that is, their recovery process was negatively affected. By using a British disability studies perspective on oppression [Thomas, C. 2010, Thomas, C. 2010. “Medical Sociology and Disability Theory.” In 'New Directions in the Sociology of Chronic and Disabling Conditions. Assaults on the Lifeworld', edited by G. Scambler, and S Scambler, 37–56. Houndmills: Palgrave Macmillan. [Crossref], [Google Scholar]. “Medical Sociology and Disability Theory.” In 'New Directions in the Sociology of Chronic and Disabling Conditions. Assaults on the Lifeworld', edited by G. Scambler, and S Scambler, 37–56. Palgrave Macmillan] the understanding of experiences of mental distress and recovery was argued to be deepened. The process of recovery was in the light of the findings argued to be a highly social and not just an individualistic process, where social factors like experiences of oppression could become a barrier in the recovery process

The TRANSFORM DSE – an interactive decision support environment for serving smart city strategy development and local measure implementation

The contribution deals with the decision support tool developed within the EU FP7 TRANSFORM project, a collaboration of varoiuous partners including 6 cities (Amsterdam, Copenhagen, Genova, Hamburg, Lyon and Vienna) aiming to achieve a significant progress in the transformation towards Smart Cities. The project rests on three main pillars: the development of a Transformation Agenda, designing a Decision Support Environment (DSE) and developing local measure implementation plans. The DSE is carried out by the AIT – Austrian Institute of Technology GmbH and Accenture B.V. supported by Macomi B.V. as sub-contractor of Accenture. The TRANSFORM DSE tool addresses several features: an “easy to use” interactive scenario development- and result mapping, allowing selection, virtual allocation of measures and finally assessing the local and city-wide effects of the measures regarding impacts on urban environment – due to energy use and greenhouse gas emissions, and on the economy – through implementation costs and effects on the cities’ employment and income. The paper gives an introduction on the topic, describes the process to gather user requirements, decribes the tool design regarding data base, graphical user interface and measure editor and depicts some results through screen shots. Conclusoins will be made rearding the user requirement gathering process, the tool functiality requirments and an outlook discusses steps to improve the toll and extend the functionality