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- 2019
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Journal article (peer-reviewed)
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| 3. |
- Citterio, Michele, et al.
(author)
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Automatic weather stations for basic and applied glaciological research
- 2015
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In: Geological Survey of Denmark and Greenland Bulletin. - 1811-4598 .- 1604-8156. ; 33, s. 69-72
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Journal article (peer-reviewed)abstract
- Since the early 1980s, the Geological Survey of Denmark and Greenland (GEUS) glaciology group has developed automatic weather stations (AWSs) and operated them on the Greenland ice sheet and on local glaciers to support glaciological research and monitoring projects (e.g. Olesen & Braithwaite 1989; Ahlstrøm et al. 2008). GEUS has also operated AWSs in connection with consultancy services in relation to mining and hydropower pre-feasibility studies (Colgan et al. 2015). Over the years, the design of the AWS has evolved, partly due to technological advances and partly due to lessons learned in the field. At the same time, we have kept the initial goal in focus: long-term, year-round accurate recording of ice ablation, snow depth and the physical parameters that determine the energy budget of glacierised surfaces. GEUS has an extensive record operating AWSs in the harsh Arctic environment of the diverse ablation areas of the Greenland ice sheet, glaciers and ice caps [...].The GEUS AWS model in use now is a reliable tool that is adapted to the environmental and logistical conditions of polar regions. It has a proven record of more than 150 stationyears of deployment in Greenland since its introduction in 2007–2008, and a success rate of c. 90% defined as the fraction of months with more than 80% valid air-temperature measurements over the total deployment time of the 25 stations in the field. The rest of this paper focuses on the technical aspects of the GEUS AWS, and provides an overview of its design and capabilities.
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| 4. |
- Fausto, Robert S., et al.
(author)
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Greenland ice sheet melt area from MODIS (2000–2014)
- 2015
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In: Geological Survey of Denmark and Greenland Bulletin. - 1811-4598 .- 1604-8156. ; 33, s. 57-60
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Journal article (peer-reviewed)abstract
- The Greenland ice sheet is an excellent observatory for global climate change. Meltwater from the 1.8 million km2 large ice sheet influences oceanic temperature and salinity, nutrient fluxes and global sea level (IPCC 2013). Surface reflectivity is a key driver of surface melt rates (Box et al. 2012). Mapping of different ice-sheet surface types provides a clear indicator of where changes in ice-sheet surface reflectivity are most prominent. Here, we present an updated version of a surface classification algorithm that utilises NASA’s Moderateresolution Imaging Spectroradiometer (MODIS) sensor on the Terra satellite to systematically monitor ice-sheet surface melt (Fausto et al. 2007). Our aim is to determine the areal extent of three surface types over the 2000–2014 period: glacier ice, melting snow (including percolation areas) and dry snow (Cuff ey & Paterson 2010). Monthly 1 km2 resolution surface-type grids can be downloaded via the CryoClim internet portal (www.cryoclim.net). In this report, we briefly describe the updated classification algorithm, validation of surface types and inter-annual variability in surface types.
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| 5. |
- Ivarsson, Andreas, 1984-, et al.
(author)
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Psychosocial factors and sport injuries: Meta-analyses for prediction and prevention
- 2017
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In: Sports Medicine. - Auckland : Springer Science and Business Media LLC. - 0112-1642 .- 1179-2035. ; 47:2, s. 353-365
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Journal article (peer-reviewed)abstract
- Background Several studies have suggested that psychosocial variables can increase the risk of becoming injured during sport participation. Objectives The main objectives of these meta-analyses were to examine (i) the effect sizes of relationships between the psychosocial variables (suggested as injury predictors in the model of stress and athletic injury) and injury rates, and (ii) the effects of psychological interventions aimed at reducing injury occurrence (prevention). Methods Electronic databases as well as specific sport and exercise psychology journals were searched. The literature review resulted in 48 published studies containing 161 effect sizes for injury prediction and seven effect sizes for injury prevention. Results The results showed that stress responses (r = 0.27, 80 % CI [0.20, 0.33]) and history of stressors (r = 0.13, 80 % CI [0.11, 0.15]) had the strongest associations with injury rates. Also, the results from the path analysis showed that the stress response mediated the relationship between history of stressors and injury rates. For injury prevention studies, all studies included (N = 7) showed decreased injury rates in the treatment groups compared to control groups. Conclusion The results support the model’s suggestion that psychosocial variables, as well as psychologically, based interventions, can influence injury risk among athletes.
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| 6. |
- Ivarsson, Andreas, et al.
(author)
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Things We Still Haven't Learned (So Far)
- 2015
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In: Journal of Sport & Exercise Psychology (JSEP). - Champaign, IL : Human Kinetics. - 0895-2779 .- 1543-2904. ; 37:4, s. 449-461
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Journal article (peer-reviewed)abstract
- Null hypothesis significance testing (NHST) is like an immortal horse that some researchers have been trying to beat to death for over 50 years but without any success. In this article we discuss the flaws in NHST, the historical background in relation to both Fisher's and Neyman and Pearson's statistical ideas, the common misunderstandings of what p < .05 actually means, and the 2010 APA publication manual's clear, but most often ignored, instructions to report effect sizes and to interpret what they all mean in the real world. In addition, we discuss how Bayesian statistics can be used to overcome some of the problems with NHST. We then analyze quantitative articles published over the past three years (2012-2014) in two top-rated sport and exercise psychology journals to determine whether we have learned what we should have learned decades ago about our use and meaningful interpretations of statistics.
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| 7. |
- Adalbjörnsson, Stefan, et al.
(author)
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Conjugate priors for Gaussian emission plsa recommender systems
- 2016
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In: 2016 24th European Signal Processing Conference, EUSIPCO 2016. - 9780992862657 ; 2016-November, s. 2096-2100
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Conference paper (peer-reviewed)abstract
- Collaborative filtering for recommender systems seeks to learn and predict user preferences for a collection of items by identifying similarities between users on the basis of their past interest or interaction with the items in question. In this work, we present a conjugate prior regularized extension of Hofmann's Gaussian emission probabilistic latent semantic analysis model, able to overcome the over-fitting problem restricting the performance of the earlier formulation. Furthermore, in experiments using the EachMovie and MovieLens data sets, it is shown that the proposed regularized model achieves significantly improved prediction accuracy of user preferences as compared to the latent semantic analysis model without priors.
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| 8. |
- Adlercreutz, Ludvig, et al.
(author)
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Optimizing the Natural Gas Engine for CO2 reduction
- 2016
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In: SAE Technical Papers. - 400 Commonwealth Drive, Warrendale, PA, United States : SAE International. - 0148-7191.
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Conference paper (peer-reviewed)abstract
- With alternative fuels having moved more into market in light of their reduction of emissions of CO2 and other air pollutants, the spark ignited internal combustion engine design has only been affected to small extent. The development of combustion engines running on natural gas or Biogas have been focused to maintain driveability on gasoline, creating a multi fuel platform which does not fully utilise the alternative fuels' potential. However, optimising these concepts on a fundamental level for gas operation shows a great potential to increase the level of utilisation and effectiveness of the engine and thereby meeting the emissions legislation. The project described in this paper has focused on optimising a combustion concept for CNG combustion on a single cylinder research engine. The ICE's efficiency at full load and the fuels characteristics, including its knock resistance, is of primary interest - together with part load performance and overall fuel consumption. In the process of increasing the efficiency of the engine the following areas have been of primary interest, increased compression ratio, thermal load at high cylinder pressure and the use of EGR to further increase efficiency. The overall goal in the project was to reduce the CO2-emissions while maintaining the performance and characteristics of the engine. The ambition is to reduce specific tail-pipe CO2-emissions in g/kWh by 50% compared to a modern gasoline engine. The goal was close to being reached at 45% reduction at full load and 25-34% on part load. This was done by theoretically downsizing the engine and increasing the specific performance of the engine.
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| 9. |
- Ahmed, Niaz, et al.
(author)
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Consensus statements and recommendations from the ESO-Karolinska Stroke Update Conference, Stockholm 11-13 November 2018.
- 2019
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In: European Stroke Journal. - : SAGE Publications. - 2396-9873 .- 2396-9881. ; 4:4, s. 307-317
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Journal article (peer-reviewed)abstract
- The purpose of the European Stroke Organisation-Karolinska Stroke Update Conference is to provide updates on recent stroke therapy research and to give an opportunity for the participants to discuss how these results may be implemented into clinical routine. The meeting started 22 years ago as Karolinska Stroke Update, but since 2014 it is a joint conference with European Stroke Organisation. Importantly, it provides a platform for discussion on the European Stroke Organisation guidelines process and on recommendations to the European Stroke Organisation guidelines committee on specific topics. By this, it adds a direct influence from stroke professionals otherwise not involved in committees and work groups on the guideline procedure. The discussions at the conference may also inspire new guidelines when motivated. The topics raised at the meeting are selected by the scientific programme committee mainly based on recent important scientific publications. This year's European Stroke Organisation-Karolinska Stroke Update Meeting was held in Stockholm on 11-13 November 2018. There were 11 scientific sessions discussed in the meeting including two short sessions. Each session except the short sessions produced a consensus statement (Full version with background, issues, conclusions and references are published as web-material and at www.eso-karolinska.org and http://eso-stroke.org) and recommendations which were prepared by a writing committee consisting of session chair(s), scientific secretary and speakers. These statements were presented to the 250 participants of the meeting. In the open meeting, general participants commented on the consensus statement and recommendations and the final document were adjusted based on the discussion from the general participants Recommendations (grade of evidence) were graded according to the 1998 Karolinska Stroke Update meeting with regard to the strength of evidence. Grade A Evidence: Strong support from randomised controlled trials and statistical reviews (at least one randomised controlled trial plus one statistical review). Grade B Evidence: Support from randomised controlled trials and statistical reviews (one randomised controlled trial or one statistical review). Grade C Evidence: No reasonable support from randomised controlled trials, recommendations based on small randomised and/or non-randomised controlled trials evidence.
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| 10. |
- Andersen, Mark B., 1951-, et al.
(author)
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A methodology of loving kindness : how interpersonal neurobiology, compassion, and transference can inform researcher–participant encounters and storytelling
- 2016
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In: Qualitative Research in Sport, Exercise and Health. - Abingdon, Oxon : Routledge. - 2159-676X .- 2159-6778. ; 8:1, s. 1-20
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Journal article (peer-reviewed)abstract
- This article concerns some central aspects of methodology in qualitative research: the participants’ and investigators’ storytelling, and the main instruments in many interview-based qualitative studies, the researchers themselves. We discuss several ethical and interpersonal aspects of qualitative research encounters between investigators and their interviewee participants. Interviewing research participants is a fundamentally exploitative process, and we make suggestions for how we can temper that exploitation by giving something of value back to our participants and to make sure the well-being of the participant is not compromised by our actions. Many research topics in qualitative studies concern experiences of stress, distress and trauma, and interviewees re-telling their stories may become retraumatised. Such retraumatisation constitutes abuse on the part of the researcher. To counter potential abuse and exploitation, we discuss how researchers, as the central instruments in interview-based investigations, can use knowledge of interpersonal neurobiology, psychodynamic theory and mindful practice to enable them to hold their participants (and their participants’ stories) in loving care and maybe even help in healing processes. © 2015 Taylor & Francis
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