| 1. |
- Andersson, Jonas, et al.
(författare)
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Diabetes mellitus, high BMI and low education level predict sudden cardiac death within 24 hours of incident myocardial infarction
- 2016
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Ingår i: European Journal of Preventive Cardiology. - : Oxford University Press (OUP). - 2047-4873 .- 2047-4881. ; 23:17, s. 1814-1820
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Tidskriftsartikel (refereegranskat)abstract
- BACKGROUND: More than half of cardiovascular mortality occurs outside the hospital, mainly due to consistently low survival rates from out-of-hospital cardiac arrest.METHODS: This is a prospective, nested, case-control study derived from the Västerbotten Intervention Programme and the World Health Organization's Multinational Monitoring of Trends and Determinants in Cardiovascular Disease study in northern Sweden (1986-2006). To determine predictors for sudden cardiac death risk factors for cardiovascular disease were compared between incident myocardial infarction with sudden cardiac death (n = 363) and survivors of incident myocardial infarction (n = 1998) using multivariate logistic regression analysis.RESULTS: Diabetes had the strongest association with sudden cardiac death out of all evaluated risk factors (odds ratio (OR) 1.83, 95% confidence interval (CI) 1.30-2.59), followed by low education (OR 1.55, 95% CI 1.19-2.01), high body mass index (OR 1.05, 95% CI 1.02-1.08) and male sex (OR 1.42, 95% CI 1.001-2.01).CONCLUSIONS: The pattern of risk factors for incident myocardial infarction is different among survivors and those who die within 24 hours. The risk factors that contribute the most to death within 24 hours are diabetes mellitus, high body mass index and low education level, and can be addressed at both the public health level and by general practitioners.
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| 2. |
- Hansen, Christian, et al.
(författare)
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A novel α-synuclein-GFP mouse model displays progressive motor impairment, olfactory dysfunction and accumulation of α-synuclein-GFP.
- 2013
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Ingår i: Neurobiology of Disease. - : Elsevier BV. - 0969-9961. ; 56C:April,30, s. 145-155
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Tidskriftsartikel (refereegranskat)abstract
- Compelling evidence suggests that accumulation and aggregation of alpha-synuclein (α-syn) contribute to the pathogenesis of Parkinson's disease (PD). Here, we describe a novel Bacterial Artificial Chromosome (BAC) transgenic model, in which we have expressed wild-type human α-syn fused to green fluorescent protein (GFP), under control of the mouse α-syn promoter. We observed a widespread and high expression of α-syn-GFP in multiple brain regions, including the dopaminergic neurons of the substantia nigra pars compacta (SNpc) and the ventral tegmental area, the olfactory bulb as well as in neocortical neurons. With increasing age, transgenic mice exhibited reductions in amphetamine-induced locomotor activity in the open field, impaired rotarod performance and a reduced striatal dopamine release, as measured by amperometry. In addition, they progressively developed deficits in an odor discrimination test. Western blot analysis revealed that α-syn-GFP and phospho-α-syn levels increased in multiple brain regions, as the mice grew older. Further, we observed, by immunohistochemical staining for phospho-α-syn and in vivo by two-photon microscopy, the formation of α-syn aggregates as the mice aged. The latter illustrates that the model can be used to track α-syn aggregation in vivo. In summary, this novel BAC α-syn-GFP model mimics a unique set of aspects of PD progression combined with the possibility of tracking α-syn aggregation in neocortex of living mice. Therefore, this α-syn-GFP-mouse model can provide a powerful tool that will facilitate the study of α-syn biology and its involvement in PD pathogenesis.
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| 3. |
- Ho, Quan, 1975-, et al.
(författare)
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A Web-Enabled Visualization Toolkit for Geovisual Analytics
- 2012
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Ingår i: Information Visualization. - : Sage Publications. - 1473-8716 .- 1473-8724. ; 11:1, s. 22-42
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Tidskriftsartikel (refereegranskat)abstract
- A framework and class library (GAV Flash) implemented in Adobe’s ActionScript is introduced, designed with the intention to significantly shorten the time and effort needed to develop customized web-enabled applications for geovisual analytics tasks. Through an atomic layered component architecture, GAV Flash provides a collection of interactive geo- and information visualization representations for exploring high dimensional spaces and extended with motion behavior. Versatile interaction methods are drawn from many data visualization research areas and optimized for dynamic web visualization of spatio-temporal and multivariate data. Based on layered component thinking and the use of programming interface mechanism the GAV Flash architecture is open and facilitates the creation of new or improved versions of existing components so that ideas can be tried out or optimized rapidly in a fully functional environment. Not only is GAV Flash a tool for interactive visualization but also supports storytelling around visual analytics in which visual representations not only serve as a discovery tool for individuals but also as a mean to share stories among users fostering a social style of collaborative data analysis. A mechanism “snapshot” for saving the explorative results of a reasoning process is introduced that aids collaboration and publication of gained insight and knowledge embedded as dynamic visualizations in blogs or web pages with associative metadata or “storytelling”.
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| 4. |
- Ho, Quan, 1975-, et al.
(författare)
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A Web-Enabled Visualization Toolkit for Geovisual Analytics
- 2011
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Ingår i: Proceedings of SPIE, the International Society for Optical Engineering. - SPIE, Bellingham WA, ETATS-UNIS : SPIE - International Society for Optical Engineering. - 9780819484055 ; , s. 78680R-78680R-12
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Konferensbidrag (refereegranskat)abstract
- We introduce a framework and class library (GAV Flash) implemented in Adobe’s ActionScript, designed with the intention to significantly shorten the time and effort needed to develop customized web-enabled applications for visual analytics or geovisual analytics tasks. Through an atomic layered component architecture, GAV Flash provides a collection of common geo- and information visualization representations extended with motion behavior including scatter matrix, extended parallel coordinates, table lens, choropleth map and treemap, integrated in a multiple, time-linked layout. Versatile interaction methods are drawn from many data visualization research areas and optimized for dynamic web visualization of spatio-temporal and multivariate data. Based on layered component thinking and the use of programming interface mechanism the GAV Flash architecture is open and facilitates the creation of new or improved versions of existing components so that ideas can be tried out or optimized rapidly in a fully functional environment. Following the Visual Analytics mantra, a mechanism “snapshot” for saving the explorative results of a reasoning process is developed that aids collaboration and publication of gained insight and knowledge embedded as dynamic visualizations in blogs or web pages with associative metadata or “storytelling”.
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| 5. |
- Ho, Quan, 1975-, et al.
(författare)
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Geovisual analytics framework integrated with storytelling applied to HTML5
- 2013
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Ingår i: The 16th AGILE International Conference on Geographic Information Science.
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Konferensbidrag (refereegranskat)abstract
- The paper considers how the integration between visualization and storytelling can make statistical findings more comprehensible and accessible to the general public. Traditional practices for geovisual analytics methods applied to official statistics require tools for greater user participation and an improved user experience. The approach set out in this paper allows the analyst (the author) to communicate with interested readers through visual discoveries captured in snapshots with descriptive text. The paper introduces HTML5 based geovisual analytics tools that facilitate storytelling aimed at producing statistical news content in support of an automatic authoring process. The author simply presses a button to publish the knowledge gained from a visual interactive discovery process within an interactive web context that could more engagingly draw the user into reflections and sometimes change a perspective altogether.Keywords: Geovisual analytics, storytelling, HTML5
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| 6. |
- Jern, Mikael, et al.
(författare)
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Geovisual Analytics Tools for Communicating Emergency and Early Warning
- 2010
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Ingår i: Geographic Information and Cartography for Risk and Crisis Management. - Berlin, Heidelberg : Springer Berlin/Heidelberg. - 9783642034411 - 9783642034428
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Bokkapitel (refereegranskat)abstract
- The large and ever-increasing amounts of multi-dimensional, multi-source, time-varying and geospatial digital information represent a major challenge for the analyst. The need to analyse and make decisions based on these information streams, often in time-critical situations, demands efficient, integrated and interactive tools that aid the user to explore, present and communicate visually large information spaces. This approach has been encapsulated in the idea of Geovisual Analytics, an emerging interdisciplinary field based on the principles from Visual Analytics that facilitates analytical reasoning and decision making through integrated and highly interactive visual interfaces and creative visualization of complex and dynamic data. Geovisual analytics supports geo-information for emergency and early warning systems through a science that augments analyst and decision-maker capabilities to assimilate complex situations and reach informed decisions. Geovisual analytics originates from geovisualization and information visualization but also growing particularly on a high degree of synergy from scientific visualization. In this context, we introduce a web-enabled toolkit GeoAnalytics Visualization (GAV) and associate demonstrators developed in close collaboration with SMHI and OECD, composed of GAV components facilitating a broad collection of dynamic visualization methods integrated with the Adobe© Flash© and Flex©development platform. We also seek to support collaborative knowledge sharing.
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| 7. |
- Lundblad, Kristina, et al.
(författare)
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Dokument, taktilitet och "diakonisk doft". Om några förmågor och egenskaper hos det analoga och det digitala
- 2014
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Ingår i: Återkopplingar. - 1654-6601. - 9789198196122 - 9789198196702 ; 28, s. 349-363
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Bokkapitel (refereegranskat)abstract
- Uppfattningen att digital text är immateriell är fortfarande utbredd och kanske är det förklaringen till att det inte skrivs särskilt mycket om betydelsen hos och effekterna av det jag menar utgör det digitala dokumentets materialitet – de digitala mediernas hårdvaror. Utformningen av och funktionen hos dessa har en lång rad implikationer för såväl individ som samhälle, och jag berör några av dem i denna artikel liksom jag diskuterar vad det analoga dokumentet kan göra som det digitala inte kan.
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| 8. |
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| 9. |
- Lundblad, Patrik, 1982-
(författare)
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Applied Geovisual Analytics and Storytelling
- 2013
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Doktorsavhandling (övrigt vetenskapligt/konstnärligt)abstract
- 'Geovisual Analytics' represents a cross-disciplinary research that looks for innovative methods to interactively visualize and solve large spatio-temporal related visualization problems for multivariate data through a visual discovery, reasoning and collaborative process. The name emphasizes the link with the well-known research discipline of Visual Analytics and could be viewed as sub-area with its specific focus on space and time posing specific research problems.This thesis focuses on the design, implementation and evaluation of interactive analytical spatio-temporal and multivariate representations demonstrated in several application scenarios which contributes to our understanding of how technology, people and spatial representations of information work effectively together. Data are analysed through the use of coordinated and time-linked views controlled by a time slider. Trends are detected through several visual representations simultaneously, each of which is best suited to highlight different patterns and can help stimulate the analytical visual thinking process so characteristic for geovisual analytics reasoning. Interactive features include tooltips, brushing, highlight, visual inquiry, and conditioned statistics filter mechanisms that can discover outliers and simultaneously update all views.To support knowledge capture and the communication and publishing of gained insights from the data exploration process, a visual storytelling concept with snapshots is introduced where the author can capture the visual data exploration process and share it. Snapshots are memorized interactive visualization views that are captured and later on recreated, so that the reader of the story can see the same mental interactive scenario as the author of the story. These snapshots are then part of a story where the author writes an explanatory text and uses the snapshots to highlight key words. These highlights will allow the reader to recreate the data views used by the author and will guide the reader to the visual discoveries made.The contributions of this thesis are divided into two parts, where the first part includes applications based on geovisual analytics methods for exploring complex weather data and finding patterns and relationships within the data. Earlier, the use of data visualization has been very limited and the introduction of geovisual analytics and the techniques used have significantly improved the visual analysis process as well as increased the flexibility. The results of this research are today used by SMHI to improve optimization and safety of voyages and monitoring of the weather along Swedish roads. Formative evaluations were performed with domain analysts with the purpose to explore qualitative usability issues with respect to visual representations and interactive representation.Furthermore, this thesis contributes with a visual storytelling approach which aims at giving domain experts novel methods for capturing and sharing information discoveries in a way that the reader can follow the process of visual exploration. This approach has been tested and verified within the domain of public statistics, where national and regional statistics is published to the public through the use of embedded interactive visualizations and a story that can engage the reader. The concept of visual storytelling has also been introduced to educators, where stories are used as interactive teaching material for students to make national and regional statistics interactive and visually understandable to the students. It will also challenge the students to investigate new theories and then communicate them visually.
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| 10. |
- Lundblad, Patrik, 1982-, et al.
(författare)
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Exploratory Visualization for Weather Data Verification
- 2011
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Ingår i: Proceedings of the 15th Information Visualisation (IV), 2011. - : IEEE. - 9781457708688 ; , s. 306-313
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Konferensbidrag (refereegranskat)abstract
- Today weather forecasts assist in the preparation of roads during the winter season to avoid accidents resulting from snow, rain and slipperiness. As with any weather forecast there is always a search for improvement. One way to do this is by verifying the forecasted parameters with the actual weather observed in the forecasted area. To facilitate identification of significant trends and patterns within weather data we have developed an application based on interactive information visualization techniques. The application was created in close collaboration with domain experts from the Swedish Meteorological and Hydrological Institute and initial feedback from a performed user study shows that interactive visualization speeds up the analysis process as well as increases flexibility compared to currently used manual methods.
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