An Anger-based Approach-Avoidance Modification Training Targeting Dysfunctional Beliefs in Adults with Elevated Stress – Results from a Randomized Controlled Pilot Study
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
1 Online-Ressource.
- Sprache
-
Englisch
- Erschienen in
-
An Anger-based Approach-Avoidance Modification Training Targeting Dysfunctional Beliefs in Adults with Elevated Stress – Results from a Randomized Controlled Pilot Study ; day:2 ; month:7 ; year:2024 ; pages:1-25
International journal of cognitive therapy ; (2.7.2024), 1-25
- Urheber
-
Keinert, Marie
Schindler-Gmelch, Lena
Eskofier, Bjoern M.
Berking, Matthias
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1007/s41811-024-00218-z
- URN
-
urn:nbn:de:101:1-2409202141474.367244462115
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:21 MESZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Keinert, Marie
- Schindler-Gmelch, Lena
- Eskofier, Bjoern M.
- Berking, Matthias
- SpringerLink (Online service)
Ähnliche Objekte (12)
Data Mining in the U.S. National Toxicology Program (NTP) Database Reveals a Potential Bias Regarding Liver Tumors in Rodents Irrespective of the Test Agent
A Robust Kalman Framework with Resampling and Optimal Smoothing
Hidden Markov Model-Based Smart Annotation for Benchmark Cyclic Activity Recognition Database Using Wearables
Cyclic motion analysis using inertial sensors and machine learning
Human Activity Recognition Using Binary Sensors, BLE Beacons, an Intelligent Floor and Acceleration Data: A Machine Learning Approach
Experimental Validation of Real-Time Ski Jumping Tracking System Based on Wearable Sensors
Hierarchical, Multi-Sensor Based Classification of Daily Life Activities: Comparison with State-of-the-Art Algorithms Using a Benchmark Dataset
Evaluating the feasibility and exploring the efficacy of an emotion-based approach-avoidance modification training (eAAMT) in the context of perceived stress in an adult sample — protocol of a parallel randomized controlled pilot study
Smart Annotation of Cyclic Data Using Hierarchical Hidden Markov Models
Human Activity Recognition in Daily Life and Sports Using Inertial Sensors
Framework for Simultaneous Indoor Localization, Mapping, and Human Activity Recognition in Ambient Assisted Living Scenarios
Exploring Smart Agents for the Interaction with Multimodal Mediated Environments
Data Mining in the U.S. National Toxicology Program (NTP) Database Reveals a Potential Bias Regarding Liver Tumors in Rodents Irrespective of the Test Agent
A Robust Kalman Framework with Resampling and Optimal Smoothing
Hidden Markov Model-Based Smart Annotation for Benchmark Cyclic Activity Recognition Database Using Wearables
Cyclic motion analysis using inertial sensors and machine learning
Human Activity Recognition Using Binary Sensors, BLE Beacons, an Intelligent Floor and Acceleration Data: A Machine Learning Approach
Experimental Validation of Real-Time Ski Jumping Tracking System Based on Wearable Sensors
Hierarchical, Multi-Sensor Based Classification of Daily Life Activities: Comparison with State-of-the-Art Algorithms Using a Benchmark Dataset
Evaluating the feasibility and exploring the efficacy of an emotion-based approach-avoidance modification training (eAAMT) in the context of perceived stress in an adult sample — protocol of a parallel randomized controlled pilot study
Smart Annotation of Cyclic Data Using Hierarchical Hidden Markov Models
Human Activity Recognition in Daily Life and Sports Using Inertial Sensors
Framework for Simultaneous Indoor Localization, Mapping, and Human Activity Recognition in Ambient Assisted Living Scenarios
Exploring Smart Agents for the Interaction with Multimodal Mediated Environments
Data Mining in the U.S. National Toxicology Program (NTP) Database Reveals a Potential Bias Regarding Liver Tumors in Rodents Irrespective of the Test Agent
A Robust Kalman Framework with Resampling and Optimal Smoothing
Hidden Markov Model-Based Smart Annotation for Benchmark Cyclic Activity Recognition Database Using Wearables
Cyclic motion analysis using inertial sensors and machine learning
Human Activity Recognition Using Binary Sensors, BLE Beacons, an Intelligent Floor and Acceleration Data: A Machine Learning Approach
Experimental Validation of Real-Time Ski Jumping Tracking System Based on Wearable Sensors
Hierarchical, Multi-Sensor Based Classification of Daily Life Activities: Comparison with State-of-the-Art Algorithms Using a Benchmark Dataset
Evaluating the feasibility and exploring the efficacy of an emotion-based approach-avoidance modification training (eAAMT) in the context of perceived stress in an adult sample — protocol of a parallel randomized controlled pilot study
Smart Annotation of Cyclic Data Using Hierarchical Hidden Markov Models
Human Activity Recognition in Daily Life and Sports Using Inertial Sensors
Framework for Simultaneous Indoor Localization, Mapping, and Human Activity Recognition in Ambient Assisted Living Scenarios