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6,541 to 6,550 of 6,826 Results

01_3_NINA-1_SPIRIT2013_33_item_checklist.pdf Apr 23, 2020 - NTNU Intranasal Naloxone Trial (NINA-1) Study documents Adobe PDF - 100.2 KB - MD5: 5225602d1b3fdff2f18a9189a37b8db6 Standard Protocol Items: Recommendations for Interventional Trials (SPIRIT 2013) This statement provides evidence for the minimum content of the NINA-1 trial protocol as outlined by SPIRIT
02_NINA-1_IB_version_7_March2020.pdf Apr 23, 2020 - NTNU Intranasal Naloxone Trial (NINA-1) Study documents Adobe PDF - 1.1 MB - MD5: b7b54792d295074da50ddc8a6c820739 INVESTIGATOR’S BROCHURE PRODUCT: Nalokson DnE Nasal Spray 14 mg/mL
05_3_NINA-1_Financing_Contract_NTNU_FarmaIndusriAS.pdf Apr 23, 2020 - NTNU Intranasal Naloxone Trial (NINA-1) Study documents Adobe PDF - 971.7 KB - MD5: 3448326f647098679153a61679819f99 Agreements between NTNU and Farma Industri governing the funding of Study Medicine and ensuring NTNU full ownership of trial results.
05_3_NINA-1_Financing_Regional_Health_Authority(EN_NO).pdf 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
06_1_NINA-1_National_Ethics_Approval_March_2017_(EN_NO).pdf 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
06_1_NINA-1_Regional_Ethics_Approval_March_2020(EN_NO).pdf 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
06_1_NINA-1_Regional_Ethics_Approval_Oct_2017(EN_NO).pdf 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
06_2_NINA-1_First_trial_approval_NoMA_December_2017.pdf 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
06_2_NINA-1_Protocol_v_3_3_approval_NoMA_March_2020.pdf 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
Replication Data for: A gradient boosting approach for optimal selection of bidding strategies: Simple model - Original variables 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...

01_3_NINA-1_SPIRIT2013_33_item_checklist.pdf

Apr 23, 2020 - NTNU Intranasal Naloxone Trial (NINA-1) Study documents

Adobe PDF - 100.2 KB -

Standard Protocol Items: Recommendations for Interventional Trials (SPIRIT 2013) This statement provides evidence for the minimum content of the NINA-1 trial protocol as outlined by SPIRIT

02_NINA-1_IB_version_7_March2020.pdf

Apr 23, 2020 - NTNU Intranasal Naloxone Trial (NINA-1) Study documents

Adobe PDF - 1.1 MB -

INVESTIGATOR’S BROCHURE PRODUCT: Nalokson DnE Nasal Spray 14 mg/mL

05_3_NINA-1_Financing_Contract_NTNU_FarmaIndusriAS.pdf

Apr 23, 2020 - NTNU Intranasal Naloxone Trial (NINA-1) Study documents

Adobe PDF - 971.7 KB -

Agreements between NTNU and Farma Industri governing the funding of Study Medicine and ensuring NTNU full ownership of trial results.

05_3_NINA-1_Financing_Regional_Health_Authority(EN_NO).pdf

Apr 23, 2020 - NTNU Intranasal Naloxone Trial (NINA-1) Study documents

Adobe PDF - 3.3 MB -

Financing for PhD position for Arne Skulberg supervised by Prof. Ola Dale and main funding for NINA-1

06_1_NINA-1_National_Ethics_Approval_March_2017_(EN_NO).pdf

Apr 23, 2020 - NTNU Intranasal Naloxone Trial (NINA-1) Study documents

Adobe PDF - 7.8 MB -

Trial approval and review by The National Committee for Medical and Health Research Ethics (NEM) in Norway

06_1_NINA-1_Regional_Ethics_Approval_March_2020(EN_NO).pdf

Apr 23, 2020 - NTNU Intranasal Naloxone Trial (NINA-1) Study documents

Adobe PDF - 1.0 MB -

Approval of protocol version 3.3 06. March 2020 by The Regional Committee for Medical and Health Research Ethics (REC) in Norway

06_1_NINA-1_Regional_Ethics_Approval_Oct_2017(EN_NO).pdf

Apr 23, 2020 - NTNU Intranasal Naloxone Trial (NINA-1) Study documents

Adobe PDF - 3.2 MB -

Approval of protocol NINA-1 trial by The Regional Committee for Medical and Health Research Ethics (REC) in Norway

06_2_NINA-1_First_trial_approval_NoMA_December_2017.pdf

Apr 23, 2020 - NTNU Intranasal Naloxone Trial (NINA-1) Study documents

Adobe PDF - 215.7 KB -

Original approval by The Norwegian Medicines Agency

06_2_NINA-1_Protocol_v_3_3_approval_NoMA_March_2020.pdf

Apr 23, 2020 - NTNU Intranasal Naloxone Trial (NINA-1) Study documents

Adobe PDF - 155.9 KB -

Approval by Norwegian Medicines Agency protocol amendments version 3.3 dated 6th March 2020

Replication Data for: A gradient boosting approach for optimal selection of bidding strategies: Simple model - Original variables

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...

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