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  Results from the intercalibration of optical low-light calibration sources 2011 

  Brändström, B. Urban E.; Enell, Carl-Fredrik; Widell, Ola; Hansson, Thord; Whiter, Daniel; Mäkinen, Sanna; Mikhaylova, Daria; Axelsson, Katarina; Sigernes, Fred; Gulbrandsen, Njål; Schlatter, Nicola M.; Gjendem, Amund Gjerde; Cai, L.; Reistad, Jone Peter; Daae, Marianne; Demissie, Teferi Dejene; Andalsvik, Yngvild Linnea; Roberts, Owen; Poluyanov, Stepan Viktorovich; Chernouss, Sergey (Journal article; Tidsskriftartikkel; Peer reviewed, 2012-05-03)

  Following the 38th Annual European Meeting on Atmospheric Studies by Optical Methods in Siuntio in Finland, an intercalibration workshop for optical low light calibration sources was held in Sodankylä, Finland. The main purpose of this workshop was to provide a comparable scale for absolute measurements of aurora and airglow. All sources brought to the intercalibration workshop were compared to the ...
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  Troubled waters - Where is the bridge? Confronting marine plastic pollution from international watercourses 

  Finska, Linda; Howden, Julie Gjørtz (Journal article; Tidsskriftartikkel; Peer reviewed, 2018-11-19)

  A considerable volume of marine plastic pollution derives from watercourses, and many of the world's largest and most heavily polluted watercourses are international. In spite of the clear factual link between the utilization and protection of international watercourses and marine plastic pollution there is hardly any interaction between the legal sub‐fields of international water law and marine ...
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  T cell and monocyte/macrophage activation markers associate with adverse outcome, but give limited prognostic value in anemic patients with heart failure: results from RED-HF 

  Abraityte, Aurelija; Aukrust, Pål; Kou, Lei; Anand, Inder S.; Young, James; Mcmurray, John J.V.; van Veldhuisen, Dirk J.; Gullestad, Lars; Ueland, Thor (Journal article; Tidsskriftartikkel; Preprint; Manuskript, 2018-07-26)

  <i>Background</i>: Activated leukocytes may contribute to the development and progression of heart failure (HF). We investigated the predictive value of circulating levels of stable and readily detectable markers reflecting both monocyte/macrophage and T-cell activity, on clinical outcomes in HF patients with reduced ejection fraction (HFrEF).<p> <p><i>Methods</i>: The association between ...
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  Know Your Heart: Rationale, design and conduct of a cross-sectional study of cardiovascular structure, function and risk factors in 4500 men and women aged 35-69 years from two Russian cities, 2015-18 

  Cook, Sarah; Malyutina, S; Kudryavtsev, Alexander; Averina, Maria; Bobrova, Natalia; Boytsov, S; Brage, S; Clark, TG; Diez Benavente, S; Eggen, Anne Elise; Hopstock, Laila Arnesdatter; Hughes, A; Johansen, Heidi; Kholmatova, Kamila; Kichigina, A; Kontsevaya, Anna; Kornev, M; Leong, D; Magnus, Per; Mathiesen, Ellisiv B.; McKee, M; Morgan, K; Nilssen, Odd-Ragnar; Plakhov, I; Quint, JK; Rapala, A; Ryabikov, A; Saburova, Lyudmila; Schirmer, Henrik; Shapkina, M; Shiekh, Suhail; Shkolnikov, VM; Stylidis, Michael; Voevoda, Mikhail; Westgate, Kate; Leon, David Adrew (Journal article; Tidsskriftartikkel; Peer reviewed, 2018-06-04)

  Russia has one of the highest rates of cardiovascular disease in the world. The International Project on Cardiovascular Disease in Russia (IPCDR) was set up to understand the reasons for this. A substantial component of this study was the Know Your Heart Study devoted to characterising the nature and causes of cardiovascular disease in Russia by conducting large cross-sectional surveys in two Russian ...
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  Urban land cover classification with missing data modalities using deep convolutional neural networks 

  Kampffmeyer, Michael C.; Salberg, Arnt Børre; Jenssen, Robert (Journal article; Tidsskriftartikkel; Peer reviewed, 2018-06-14)

  Automatic urban land cover classification is a fundamental problem in remote sensing, e.g., for environmental monitoring. The problem is highly challenging, as classes generally have high interclass and low intraclass variances. Techniques to improve urban land cover classification performance in remote sensing include fusion of data from different sensors with different data modalities. However, ...

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