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- Ambrosi, Aurelie, et al.
(author)
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Development of heart block in children of SSA/SSB-autoantibody-positive women is associated with maternal age and displays a season-of-birth pattern
- 2012
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In: Annals of the Rheumatic Diseases. - London : BMJ Publishing Group. - 0003-4967 .- 1468-2060. ; 71:3, s. 334-340
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Journal article (peer-reviewed)abstract
- Objective Congenital heart block may develop in the fetuses of Ro/SSA-positive and La/SSB-positive mothers. Recurrence rates of only 10-20% despite persisting maternal antibodies indicate that additional factors are critical for the establishment of heart block. The authors investigated the influence of other maternal and fetal factors on heart block development in a Swedish population-based cohort. less thanbrgreater than less thanbrgreater thanMethods The influence of fetal gender, maternal age, parity and time of birth on heart block development was analysed in 145 families, including Ro/La-positive (n=190) and Ro/La-negative (n=165) pregnancies. less thanbrgreater than less thanbrgreater thanResults There was a recurrence rate of 12.1% in Ro/La-positive women, and no recurrence in Ro/La-negative women. Fetal gender and parity did not influence the development of heart block in either group. Maternal age in Ro/La-positive pregnancies with a child affected by heart block was, however, significantly higher than in pregnancies resulting in babies without heart block (pandlt;0.05). Seasonal timing of pregnancy influenced the outcome. Gestational susceptibility weeks 18-24 occurring during January-March correlated with a higher proportion of children with heart block and lower vitamin D levels during the same period in a representative sample of Swedish women and a corresponding higher proportion of children with heart block born in the summer (pandlt;0.02). Maternal age or seasonal timing of pregnancy did not affect the outcome in Ro/La-negative pregnancies. less thanbrgreater than less thanbrgreater thanConclusion This study identifies maternal age and seasonal timing of pregnancy as novel risk factors for heart block development in children of Ro/La-positive women. These observations may be useful for counselling when pregnancy is considered.
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| 6. |
- Appelquist, Karin, et al.
(author)
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Karaktärisering av Bohusgranit i samband med utbyggnad av E6, norra Bohuslän
- 2011
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Reports (peer-reviewed)abstract
- Tunnslipsundersökningar samt Los Angeles (LA)-analys har utförts på fem olika typer av Bohusgraniter, provtagna längs utbyggnad av väg E6 mellan Strömstad och Tanumshede. Undersökningen har utförts som ett led i utvecklingen av nya, alternativa provningsmetoder för vägmaterial som bättre återspeglar funktionsegenskaperna hos berget. Huvudsyftet med undersökningen är att undersöka hur mekaniska egenskaper (i det här fallet LA-värde) kan kopplas till bergarternas petrografiska egenskaper. Resultaten visar att bergarternas motstånd mot fragmentering (LA-värde) är beroende av en kombination av dess omvandlingsgrad, mikrosprickor och kornstorlek. LA-värdet i de undersökta proverna är främst beroende av provets omvandlingsgrad av plagioklas. Andelen mikrosprickor är i sin tur ofta kopplat till omvandlingsgraden. Ju högre andel sericit-omvandlad plagioklas desto färre mikrosprickor och mindre sprickpropagering, vilket ökar provets motstånd mot fragmentering (lägre LA-värde). Även kornstorleken har betydelse för provets motstånd mot fragmentering, vilket är särskilt tydligt för provet med minst kornstorlek.
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- Eliasson-Lappalainen, Rosmari, et al.
(author)
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Erfarenheter i akademins tassemarker
- 2014
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In: Det personliga är sociologiskt. 14 professorer om svensk sociologi. - : Sveriges Sociologförbund. - 9789147115037 ; , s. 57-78
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Book chapter (peer-reviewed)
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| 9. |
- Eliasson, Mattias, et al.
(author)
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Strategy for optimizing LC-MS data processing in Metabolomics : A design of experiments approach
- 2012
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In: Analytical Chemistry. - : American Chemical Society (ACS). - 0003-2700 .- 1520-6882. ; 84:15, s. 6869-6876
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Journal article (peer-reviewed)abstract
- A strategy for optimizing LC-MS metabolomics data processing is proposed. We applied this strategy on the XCMS open source package written in R on both human and plant biology data. The strategy is a sequential design of experiments (DoE) based on a dilution series from a pooled sample and a measure of correlation between diluted concentrations and integrated peak areas. The reliability index metric, used to define peak quality, simultaneously favors reliable peaks and disfavors unreliable peaks using a weighted ratio between peaks with high and low response linearity. DoE optimization resulted in the case studies in more than 57% improvement in the reliability index compared to the use of the default settings. The proposed strategy can be applied to any other data processing software involving parameters to be tuned, e.g., MZmine 2. It can also be fully automated and used as a module in a complete metabolomics data processing pipeline.
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| 10. |
- Eliasson, Salomon, et al.
(author)
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Systematic and random errors between collocated satellite ice water path observations
- 2013
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In: Journal of Geophysical Research - Atmospheres. - : John Wiley & Sons. - 2169-897X .- 2169-8996. ; 118:6, s. 2629-2642
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Journal article (peer-reviewed)abstract
- There remains large disagreement between IWP in observational datasets, largely because the sensors observe different parts of the ice particle size distribution. A detailed comparison of retrieved IWP from satellite observations in the Tropics ({plus minus}30{degree sign} latitude) in 2007 is made using collocated measurements. The DARDAR IWP dataset, based on combined Radar/Lidar measurements, is used as a reference as it provides arguably the best estimate of the total column IWP. For each dataset, usable IWP dynamic ranges are inferred from this comparison. IWP retrievals based on solar reflectance measurements, MODIS, and AVHRR-based CMSAF, and PATMOS-x, were found to be correlated with DARDAR over a large IWP range (~20-7000 g/m-2;). The random errors of the collocated datasets have a close to log-normal distribution, and the combined random error of MODIS and DARDAR is less than a factor of 2, which also sets the upper limit for MODIS alone. In the same way the upper limit for the random error of all considered datasets is determined. Datasets based on passive microwave measurements,MSPPS, MiRS, and CMO, are largely correlated with DARDAR for IWP values larger than approximately 700 g/m². The combined uncertainty between these datasets and DARDAR in this range is slightly less MODIS-DARDAR, but the systematic bias is nearly an order of magnitude.
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