6,941 to 6,950 of 7,223 Results
Apr 23, 2020 -
NTNU Intranasal Naloxone Trial (NINA-1) Study documents
Adobe PDF - 3.3 MB -
MD5: a95cf2d72d1dfc324e125ab8dcba0430
Financing for PhD position for Arne Skulberg supervised by Prof. Ola Dale and main funding for NINA-1 |
Apr 23, 2020 -
NTNU Intranasal Naloxone Trial (NINA-1) Study documents
Adobe PDF - 7.8 MB -
MD5: ea3a92eae5a70cf98e2cfe42711db753
Trial approval and review by The National Committee for Medical and Health Research Ethics (NEM) in Norway |
Apr 23, 2020 -
NTNU Intranasal Naloxone Trial (NINA-1) Study documents
Adobe PDF - 1.0 MB -
MD5: b30e40d8eb4857663520f6a8324ea060
Approval of protocol version 3.3 06. March 2020 by The Regional Committee for Medical and Health Research Ethics (REC) in Norway |
Apr 23, 2020 -
NTNU Intranasal Naloxone Trial (NINA-1) Study documents
Adobe PDF - 3.2 MB -
MD5: 8b4cd65e220676bfb371089df4dd65d4
Approval of protocol NINA-1 trial by The Regional Committee for Medical and Health Research Ethics (REC) in Norway |
Apr 23, 2020 -
NTNU Intranasal Naloxone Trial (NINA-1) Study documents
Adobe PDF - 215.7 KB -
MD5: 8b31c095c16a2690bb775cdaafc2e6f2
Original approval by The Norwegian Medicines Agency |
Apr 23, 2020 -
NTNU Intranasal Naloxone Trial (NINA-1) Study documents
Adobe PDF - 155.9 KB -
MD5: 90cf357930d8ea3bd0161b7b9c63acb4
Approval by Norwegian Medicines Agency protocol amendments version 3.3 dated 6th March 2020 |
Apr 20, 2020
Riddervold, Hans Ole, 2020, "Replication Data for: A gradient boosting approach for optimal selection of bidding strategies: Simple model - Original variables", https://doi.org/10.18710/WNKSVX, DataverseNO, V1, UNF:6:gXehgeAeqs6FWVHODiWuAQ== [fileUNF]
Access to an increasing amount of data opens for the application of machine learning models to predict the best combination of models and strategies for bidding of hydro power in a de-regulated market for any given day. This data-set describe the historical performance-gap of two... |
Apr 20, 2020 -
Replication Data for: A gradient boosting approach for optimal selection of bidding strategies: Simple model - Original variables
Plain Text - 1.5 KB -
MD5: 08bd9bc8bb6ff0eef16ace084c8df545
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Apr 20, 2020 -
Replication Data for: A gradient boosting approach for optimal selection of bidding strategies: Simple model - Original variables
Tabular Data - 223.4 KB - 15 Variables, 1045 Observations - UNF:6:gXehgeAeqs6FWVHODiWuAQ==
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Feb 3, 2020
ter Maat, Geertje W., 2020, "Replication Data for: Separating geometry- from stress-induced remanent magnetization in magnetite with ilmenite lamellae from the Stardalur basalts, Iceland", https://doi.org/10.18710/GHHUNU, DataverseNO, V1, UNF:6:8ErThoqOgotQt1AclommUA== [fileUNF]
Bulk rock magnetic measurements (hysteresis loops, backfield curves and FORC diagrams) were done on basalts from the Stardalur volcano. Realistic geometries of magnetite grains from those basalts were obtained by FIB-SEM nanotomography. Meshes of these geometries were used to cre... |