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Found 10001 publications. Showing page 362 of 401:

Publication  
Year  
Category

Analytical techniques in metabolomics

David, Arthur; Rostkowski, Pawel

2020

Analytical intercomparison of heavy metals in precipitation, 2008. EMEP/CCC

Uggerud, H.T.; Hjellbrekke, A.-G.

2009

Analytical intercomparison of heavy metals in precipitation, 2007. EMEP/CCC

Uggerud, H.T.; Hjellbrakke, A.-G.

2008

2003

2002

2001

Analytical chemistry

Hanssen, Linda

2022

Analytical challenges hamper perfluoroalkyl research.

Martin, J.W.; Kannan, K.; Berger, U.; de Voogt, P.; Field, J.; Franklin, J.; Giesy, J.P.; Harner, T.; Muir, D.C.G.; Scott, B.; Kaiser, M.; Järnberg, U.; Jones, K.C., Mabury, S.A.; Schroeder, H.; Simcik, M.; Sottani, C.; van Bavel, B.; Kärrman, A., Lindström, G.; van Leeuwen, S.

2004

Analysis of variability in atmospheric methane in the Arctic.

Thompson, R.; Stohl, A.; Myhre, C.L.; Fisher, R.; Lowry, D.; Nisbet, E.; Aalto, T.; Dlugokencky, E.; Crotwell, A.

2014

Analysis of variability in atmospheric methane in the Arctic. NILU PP

Thompson, R.; Stohl, A.; Myhre, C.L.; Fisher, R.; Lowry, D.; Nisbet, E.; Aalto, T.; Dlugokencky, E.; Crotwell, A.

2014

Analysis of the effect of indoor environment on pupils’ health in one Norwegian school during COVID-19 pandemic

Ulvestad, Anita; Cao, Guangyu; Gustavsen, Kai; Vogt, Matthias; Rismyhr, Tore; Yang, Zhirong

The aim of this project is to investigate and predict the quantified effect of indoor environment on pupils’ health in schools in Norway during the COVID-19 pandemic. The results are based on field measurements of the indoor environment in a Norwegian school. In addition, a survey (Mitt Inneklima) from NAAF was given to the pupils, and the result was investigated by using a machine learning model. From the field measurements it was found that the indoor temperature was generally too high, the relative humidity was too low, and the CO2- concentration was typically below 1000 ppm. The survey shows that more pupils are experiencing various indoor climate problems every week compared to the reference school for almost all of the parameters. By using machine learning, it is found that Too hot is an important feature for 11 of the 12 health problems, while Dry air is an important feature for nine of them.

2021

Analysis of station classification. ETC/ACM Technical Paper, 2012/17

Malherbe, L.; Ung, A.; Schneider, P.; de Leeuw, F.

2013

Analysis of station classification and network design in Europe. ETC/ACM Technical Paper, 2013/18

Malherbe, L.; Ung, A.; Schneider, P.; Jimmink, B.; de Leeuw, F.

2013

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Year
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