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  A distinctive rare earth element signature for pyrite oxidation and glacial weathering 

  Jang, Kwangchul; Bayon, Germain; Pourret, Olivier; Joe, Young Jin; Kim, Jung-Hyun; Byun, Eunji; Forwick, Matthias; León, Rafael; Nam, Seung-Il (Journal article; Tidsskriftartikkel; Peer reviewed, 2024-05-15)

  The application of rare earth elements (REE) and neodymium (Nd) isotopes to authigenic Fe-(oxyhydr)oxide phases leached from marine sediments can be used for reconstructing past ocean circulation and chemical weathering patterns on nearby continental landmasses. To explore the behaviour of REE during chemical weathering in glacial environments, we analyzed the authigenic fraction of glacimarine ...
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  Towards seamless environmental prediction–development of Pan-Eurasian EXperiment (PEEX) modelling platform 

  Mahura, Alexander; Baklanov, Alexander; Makkonen, Risto; Boy, Michael; Petäjä, Tuukka; Lappalainen, Hanna K.; Nuterman, Roman; Kerminen, Veli-Matti; Arnold, Stephen R.; Jochum, Markus; Shvidenko, Anatoly; Esau, Igor; Sofiev, Mikhail; Stohl, Andreas; Aalto, Tuula; Bai, Jianhui; Chen, Chuchu; Cheng, Yafang; Drofa, Oxana; Huang, Mei; Järvi, Leena; Kokkola, Harri; Kouznetsov, Rostislav; Li, Tingting; Malguzzi, Piero; Monks, Sarah; Poulsen, Mads Bruun; Noe, Steffen M.; Palamarchuk, Yuliia; Foreback, Benjamin; Clusius, Petri; Rasmussen, Till Andreas Soya; She, Jun; Sørensen, Jens Havskov; Spracklen, Dominick; Su, Hang; Tonttila, Juha; Wang, Siwen; Wang, Jiandong; Wolf, Tobias; Yu, Yongqiang; Zhang, Qing; Zhang, Wei; Zhang, Wen; Zheng, Xunhua; Li, Siqi; Li, Yong; Zhou, Putian; Kulmala, Markku (Journal article; Tidsskriftartikkel; Peer reviewed, 2024-04-09)

  The Pan-Eurasian Experiment Modelling Platform (PEEX-MP) is one of the key blocks of the PEEX Research Programme. The PEEX MP has more than 30 models and is directed towards seamless environmental prediction. The main focus area is the Arctic-boreal regions and China. The models used in PEEX-MP cover several main components of the Earth’s system, such as the atmosphere, hydrosphere, pedosphere and ...
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  Life starts with plastic: High occurrence of plastic pieces in fledglings of northern fulmars 

  Collard, France; Benjaminsen, Stine Charlotte; Herzke, Dorte; Husabø, Eirin; Sagerup, Kjetil; Tulatz, Felix; Gabrielsen, Geir W. (Journal article; Tidsskriftartikkel; Peer reviewed, 2024-04-11)

  Plastic pollution threatens many organisms around the world. In particular, the northern fulmar, Fulmarus glacialis, is known to ingest high quantities of plastics. Since data are sparse in the Eurasian Arctic, we investigated plastic burdens in the stomachs of fulmar fledglings from Kongsfjorden, Svalbard. Fifteen birds were collected and only particles larger than 1 mm were extracted, characterised ...
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  Combined Contaminant Levels from Local Harvested Food Items in the Norwegian–Finnish–Russian Border Region 

  Nalbandyan-Schwarz, Anna; Pedersen, Kristine Bondo; Evenset, Anita; Heimstad, Eldbjørg Sofie; Sandanger, Torkjel Manning; Myllynen, Päivi; Rautio, Arja (Journal article; Tidsskriftartikkel; Peer reviewed, 2024-04-08)

  This paper presents the results of a multidisciplinary study with the aim of assessing the potential combined risk from consuming locally harvested food products in the Euro-Arctic region of Norway, Finland, and Russia. The three important contaminant groups—radioactive substances, heavy metals, and persistent organic pollutants (POPs)—were measured in food samples such as berries, mushrooms, fish, ...
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  A Machine Learning Approach to Predict Post-stroke Fatigue. The Nor-COAST study 

  Luzum, Geske; Thrane, Gyrd; Aam, Stina; Eldholm, Rannveig Sakshaug; Grambaite, Ramune; Munthe-Kaas, Ragnhild; Thingstad, Anne Pernille Mæhle; Saltvedt, Ingvild; Askim, Torunn (Journal article; Tidsskriftartikkel, 2024-01-17)

  Objective - This study aimed to predict fatigue 18 months post-stroke by utilizing comprehensive data from the acute and sub-acute phases after stroke in a machine-learning set-up.<p> <p>Design - A prospective multicenter cohort-study with 18-month follow-up.<p> <p>Setting - Outpatient clinics at 3 university hospitals and 2 local hospitals.<p> <p>Participants - 474 participants with the ...

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