| 1. |
- Aidoukovitch, Alexandra, et al.
(författare)
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Strontium chloride promotes cell proliferation in a human osteoblast cell line
- 2014
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Rapport (övrigt vetenskapligt/konstnärligt)abstract
- Strontium ranelate (SrRan) is the active component of drugs currently used for reducing the risk of fractures in patients suffering from osteoporosis. Despite extensive use, the underlying mechanisms of action of Sr2+ are not fully understood. In the present study, we assess the impact of SrCl2 on human osteoblast activity and proliferation. Cultures of the human osteoblast-like cell line MG63 were treated for 72 h in presence of 0.1 mM, 1 mM, 5 mM and 10 mM SrCl2 or vehicle, used in control groups. Cells were counted manually using a Bürker chamber. Total protein content was determined by colorimetric analysis performed by a microplate reader using Bio-Rad protein assay. Alkaline phosphatase (ALP) activity was determined enzymatically and normalized to total protein content in each sample. Cell viability was assessed using the MTT assay. Treatment with 5 mM SrCl2 for 72 h enhanced total MG63 cell protein content by 37% compared to controls (p<0.01). A lower concentration (0.1 mM) of SrCl2 had no effect on total protein. Incubation with 5 mM SrCl2 for 72 h increased MG63 cell number by 38% compared to controls (p<0.001). The SrCl2-induced increase in cell number was associated with enhanced (+14% compared to controls, p<0.05) cell viability. Treatment with a higher concentration (10 mM) of SrCl2 enhanced cell number similar to 5 mM SrCl2 (+54% compared to controls, p<0.05). Treatment with 0.1 or 5 mM SrCl2 for 72 h had no effect (p>0.05) on MG63 cell ALP activity, while 1 mM SrCl2 reduced ALP activity as well as total protein content by about 25% compared to controls (p<0.05). The current results demonstrate that treatment with SrCl2 for 72 h, at concentrations higher than 1 mM promotes cell proliferation in human osteoblast-like cells, suggesting that Sr2+ may enhance bone formation through this mechanism.
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| 5. |
- Svensson, Daniel, 1979, et al.
(författare)
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An Alternative Derivation of the Cardinalized Probability Hypothesis Density Filter
- 2008
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Rapport (övrigt vetenskapligt/konstnärligt)abstract
- In this report, an alternative approach to derive the Gaussian mixture cardinalized probability hypothesis density (GM-CPHD) filter is presented. The derivations differ in that the presented ones are based on "ordinary" statistics, while the original GM-CPHD derivation started from the finite set statistics (FISST) description of the CPHD filter. The results of the derivations are compared with filter update equations presented in another paper. The sets of equations are not completely equivalent. However, initial performance evaluations of the approaches indicate similar performance. Future work is needed to understand the differences between different GM-CPHD filter equations.
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| 6. |
- Svensson, Daniel, 1983-, et al.
(författare)
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'Science Says' : Swedish Sports Coaching and Science During the Twentieth Century
- 2021
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Ingår i: Sports Coaching in Europe. - London : Routledge. - 9780367542689 - 9781003088448 ; , s. 56-75
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Bokkapitel (övrigt vetenskapligt/konstnärligt)abstract
- On 29 June 1958, Sweden played Brazil in the World Cup final in men’s football in Stockholm. Even though the Swedish team lost 5–2 the players were celebrated as heroes. However, the Swedish Football Association (SvFF) argued that players in Swedish clubs needed to train more and differently. What followed was a process of professionalization and scientization of Swedish coaching, a process that had begun a decade earlier in endurance sports. Soon, physiologists were involved with testing, evaluating and monitoring athletes, designing training setups, and even team selection. They used the latest scientific theories, technologies, and tests to make training and coaching less about experience and more about comparability and evidentiality. This ‘scientific turn’ in Swedish sports from the 1950s onwards was part of a larger rationalization of Swedish society in which science in general, particularly physiology, played a major role. It co-evolved with a growing participation by women and a reinterpretation of gender roles. We argue that, while traditionally based on experiential knowledge and personal experience, Swedish coaching went through a sportification process that made it more specialized, rationalized, and professionalized. In the end, it became an ideal to listen to what science says.
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| 7. |
- Svensson, Daniel, 1979, et al.
(författare)
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The multitarget Set JPDA filter with target identity
- 2011
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Ingår i: Proceedings of SPIE: Signal Processing, Sensor Fusion, and Target Recognition XX. Conference on Signal Processing, Sensor Fusion, and Target Recognition XX Orlando, FL, APR 25-27, 2011. - : SPIE. - 0277-786X. - 9780819486240 ; 8050
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Konferensbidrag (övrigt vetenskapligt/konstnärligt)abstract
- The Set JPDA (SJPDA) filter is a recently developed multi-target tracking filter that utilizes the relationbetween the density of a random finite set and the ordinary density of a state vector to improve on the JointProbabilistic Data Association (JPDA) filter. One advantage to the filter is the improved accuracy of the Gaussianapproximations of the JPDA, which result in avoidance of track coalescence. In the original presentation of theSJPDA filter, the focus was on problems where target identity is not relevant, and it was shown that the filterperforms better than the JPDA filter for such problems. The improved performance of the SJPDA is due toits relaxation of the labeling constraint that hampers most tracking approaches. However, if track identity isof interest a record of it may be kept even with a label-free approach such as the SJPDA: label-free targets arelocalized via the SJPDA, and then the identities are recalled as an overlay.
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| 8. |
- Svensson, Daniel, 1979, et al.
(författare)
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The Set IMMJPDA filter for multitarget tracking
- 2011
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Ingår i: Proceedings of SPIE: Signal Processing, Sensor Fusion, and Target Recognition XX. Conference on Signal Processing, Sensor Fusion, and Target Recognition XX Orlando, FL, APR 25-27, 2011. - : SPIE. - 0277-786X. - 9780819486240 ; 8050
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Konferensbidrag (övrigt vetenskapligt/konstnärligt)abstract
- The Set JPDA (SJPDA) filter is a recently developed multi-target tracking filter that utilizes the relationbetween the density of a random finite set and the ordinary density of a state vector to improve on the JointProbabilistic Data Association (JPDA) filter. One advantage to the filter is the improved accuracy of theGaussian approximations of the JPDA, which results in avoidance of track coalescence. Another advantage is animproved estimation accuracy in terms of a measure which disregards target identity. In this paper we extend thefilter to also consider multiple motion models. As a basis for the extension we use the Interacting Multiple Model(IMM) algorithm. We derive three alternative filters that we jointly refer to as Set IMMJPDA (SIMMJPDA).They are based on two alternative descriptions of the IMMJPDA filter. In the paper, we also present simulationresults for a two-target tracking scenario, which show improved tracking performance for the Set IMMJPDAfilter when evaluated with a measure that disregards target identity.
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- Svensson, Daniel, 1983-, et al.
(författare)
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Tränaren och tekniken : Om teknologins växande roll i svensk elitfotboll
- 2020
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Ingår i: Idrottsforskaren. - Lund : Svensk Förening för Beteende- och Samhällsvetenskaplig Idrottsforskning (SVEBI). ; 2020
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Tidskriftsartikel (övrigt vetenskapligt/konstnärligt)abstract
- De senaste 100 åren har teknikens och vetenskapens betydelse för träning och tränarskap ökat lavinartat. Från att ha spelat en undanskymd roll under 1900-talets första hälft, har ny teknologi och nya forskningsrön, i syfte att förbättra prestationerna, blivit en central del av idrotten. Utvecklingen har kallats för en tekno-vetenskaplig revolution (Fouché, 2017). Det senaste decenniet har utvecklingen fortsatt och accelererat. Allt mer avancerad teknik används för att övervaka, utvärdera och optimera träningen i en rad sporter. Denna utveckling väcker frågor. Vad betyder den ökade användningen av avancerad teknik för coaching i praktiken? Vilka fördelar respektive risker kan uppstå och hur kan de hanteras? Dessa frågor är i fokus i ett pågående forskningsprojekt, som tittar närmare på användandet av teknik för att analysera idrottsliga prestationer inom svensk herrelitfotboll. Specifikt studerar vi teknikens roll för träningen i föreningarna i Allsvenskan.Genom att utrusta blivande tränare med verktyg för att själva hantera och värdera teknik i coachingen, kan många av de historiska misstagen (övertro på tekniska lösningar, oförmåga att kommunicera testresultat och andra värden på ett meningsfullt vis, etcetera) undvikas. Tekniken ger ökade möjligheter för tränare att mäta och i praktiken övervaka sina spelare. Detta ställer nya krav på etiska överväganden från både tränare och klubbar.
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| 10. |
- Svensson, Lennart, 1976, et al.
(författare)
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Set JPDA Filter for Multi-Target Tracking
- 2010
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Rapport (övrigt vetenskapligt/konstnärligt)abstract
- In this report we show that when targets are closely spaced, traditional trackingalgorithms can be adjusted to perform better under a performance measure thatdisregards identity. More specifically, we propose an adjusted version of the JointProbabilistic Data Association (JPDA) filter, which we call Set JPDA (SJPDA).Through examples and theory we motivate the new approach, and show its possibilities.To decrease the computational requirements, we further show that the SJPDAfilter can be formulated as a continuous optimization problem which is fairly easy tohandle. Optimal approximations are also discussed, and an algorithm, KLSJPDA,which provides optimal Gaussian approximations in the Kullback-Leibler sense isderived. Finally, we evaluate the SJPDA filter on two scenarios with closely spacedtargets, and compare the performance in terms of the mean Optimal SubpatternAssignment (MOSPA) measure with the JPDA filter, and also with the GaussianmixtureCPHD filter. The results show that the SJPDA filter performs substantiallybetter than the JPDA filter, and almost as well as the more complex GM-CPHDfilter.
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