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Automating airborne pollen classification: Identifying and interpreting hard samples for classifiers
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Patient perspectives on health care models in cardiac surgery: a qualitative evaluation
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Pressure-dependent magnetism of the Kitaev candidate Li2RhO3
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Flow of electrorheological fluid under conditions of slip on the boundary
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Assessing the Clinical and Functional Status of COPD Patients Using Speech Analysis During and After Exacerbation
Published 2025-01-01“…Wolfgang Mayr,1,* Andreas Triantafyllopoulos,2,3,* Anton Batliner,2,3 Björn W Schuller,2– 5 Thomas M Berghaus1,6 1Department of Cardiology, Respiratory Medicine and Intensive Care, University Hospital Augsburg, Augsburg, Germany; 2Chair of Health Informatics (CHI), Department of Clinical Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany; 3Munich Center for Machine Learning (MCML), Munich, Germany; 4Group on Language Audio, & Music (GLAM), Imperial College, London, UK; 5Munich Data Science Institute (MDSI), Munich, Germany; 6Medical Faculty, Ludwig Maximilians University of Munich, Munich, Germany*These authors contributed equally to this workCorrespondence: Wolfgang Mayr, Department of Cardiology, Respiratory Medicine and Intensive Care, University Hospital Augsburg, Stenglinstrasse 2, Augsburg, D-86156, Germany, Email wolfgang.mayr@uk-augsburg.de Andreas Triantafyllopoulos, Chair of Health Informatics, Department of Clinical Medicine, Klinikum rechts der Isar, Technical University of Munich, Ismaninger Straße 22, Munich, 81675, Germany, Email andreas.triantafyllopoulos@tum.deBackground: Chronic obstructive pulmonary disease (COPD) affects breathing, speech production, and coughing. …”
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Socially interactive industrial robots: a PAD model of flow for emotional co-regulation
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Acoustic lattice resonances and generalised Rayleigh–Bloch waves
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Protocol for a living systematic review for the management of concussion in adults
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