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115.8Average days
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25 valid samples · Newest publication first
Review days = acceptance date − received date. PDF, DOI, and publisher-page sources are retained.

143 days

Positive End‐Expiratory Pressure, Tidal Volume, and Fraction of Inspired Oxygen During General Anaesthesia in High‐Risk Patients—A Randomised Clinical Feasibility Trial

Authors
Maria B. Pælestik; Benjamin H. Risager; Signe Ø. Mortensen; Olav L. Schjørring; Jannie Bisgaard; Kasper G. Berthelsen; Rikke Balsløv; Leif Bach; Kim B. Pælestik; Jørgen G. R. Rossau; Carsten Poulsen; Christoffer Sølling; Jannie T. Sørensen; Mathilde Enevoldsen; Lærke D. D. Petersen; Stine T. Zwisler; Nicole M. Brahe; Anders M. Rasmussen; Ida A. Guldberg; Maria A. Joost; Henning B. Nielsen; Ulrick S. Espelund; Lone Dragnes Brix; Jens A. K. Petersen; Christian F. Eriksen; Anders G. Kjærgaard; Pia D. Dinesen; Malene L. Abildgren; Mikael F. Vallentin; Marie K. Jessen; Simon T. Vistisen; Casper H. Nørholt; Cecilie D. Baltsen; Lotte K. Andersen; Frederik G. Hansen; Lea W. Frilund; Sofie Winther; Asger Granfelt; Lars W. AndersenShow moreShow less
Affiliations
1. Department of Clinical Medicine Aarhus University Aarhus Denmark; 2. Department of Anaesthesiology and Intensive Care Aarhus University Hospital Aarhus Denmark; 3. Department of Anaesthesiology and Intensive Care Aalborg University Hospital Aalborg Denmark; 4. Department of Clinical Medicine Aalborg University Aalborg Denmark; 5. Department of Operation and Intensive Care Randers Regional Hospital Randers Denmark; 6. Department of Operation and Intensive Care Viborg Regional Hospital Viborg Denmark; 7. Department of Anaesthesiology and Intensive Care Odense University Hospital Odense Denmark; 8. Department of Anaesthesiology and Intensive Care Zealand University Hospital Køge Denmark; 9. Faculty of Health and Medical Sciences University of Copenhagen Copenhagen Denmark; 10. Department of Anaesthesiology and Intensive Care Horsens Regional Hospital Horsens Denmark; 11. Prehospital Emergency Medical Services, Central Denmark Region Aarhus DenmarkShow moreShow less
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Machine Learning and Life-Cycle Assessment for Predicting and Optimizing Carbon Emissions in Urban Wastewater Treatment

SampleLatest 5 valid paper samples from 2026

Average review62 days

Median65 days

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