Introduction: Hidden curricula are those contents learned that do not belong to the formal curriculum. Narrative medicine allows knowledge of health professionals' experiences. Approaching to the hidden curriculum can allow modifying or reinforcing instances of the nonformal learning.
Objective: Analyze narrative medical students' productions to identify hidden curriculum contents.
Population And Methods: A cross-sectional study was conducted with Pediatric students during 2017.
Results: All the students of the course (14) participated and performed 50 narrative productions: 53 % corresponded to the hospitalization context, 17 % to ambulatory care, 17 % to the emergency center and 13 % to neonatology. The main topics described were doctor-patient communication, importance of family inclusion in the pediatric consultation, empathy, impact of chronic disease in children and communication of bad news.
Conclusions: Narrative productions allowed an approximation to the hidden curriculum through reflections on professional actions.
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http://dx.doi.org/10.5546/aap.2020.290 | DOI Listing |
Front Digit Health
January 2025
Department of Demography & Social Statistics, Federal University, Birnin-Kebbi, Kebbi State, Nigeria.
Background: Fertility preferences refer to the number of children an individual would like to have, regardless of any obstacles that may stand in the way of fulfilling their aspirations. Despite the creation and application of numerous interventions, the overall fertility rate in West African nations, particularly Nigeria, is still high at 5.3% according to 2018 Nigeria Demographic and Health Survey data.
View Article and Find Full Text PDFCognition
January 2025
Chair of Philosophy of Mind, Faculty of Philosophy, Philosophy of Science and Religious Studies Ludwig-Maximilians-Universität München, Munich, Germany; Munich Center for Neuroscience, Ludwig-Maximilians-Universität München, Munich, Germany; Institute of Philosophy, School of Advanced Study, University of London, London, UK; Cognition, Values, Behaviour Lab, Ludwig-Maximilians-Universität München, Munich, Germany. Electronic address:
The sense of agency is the subjective feeling of control over one's own actions and the associated outcomes. Here, we asked whether and to what extent the reasons behind our choices (operationalized by value differences, expected utility, and counterfactual option sets) drive our sense of agency. We simultaneously tested these three dimensions during a novel value-based decision-making task while recording explicit (self-reported) and implicit (brain signals) measures of agency.
View Article and Find Full Text PDFSmall
January 2025
College of Physical Science and Technology, Xiamen University, Xiamen, 361005, P. R. China.
Twisted bilayer graphene (TBG) has drawn considerable attention due to its angle-dependent electrical, optical, and mechanical properties, yet preparing and identifying samples at specific angles on a large scale remains challenging and labor-intensive. Here, a data-driven strategy that leverages Raman spectroscopy is proposed in combination with deep learning to rapidly and non-destructively decode and predict the twist angle of TBG across the full angular range. By processing high-dimensional Raman data, the deep learning model extracts hidden information to achieve precise twist angle identification.
View Article and Find Full Text PDFActa Bioeng Biomech
September 2024
Faculty of Computer Science, Kazimierz Wielki University, Bydgoszcz, Poland.
Monitoring and assessing the level of lower limb motor skills using the Biodex System plays an important role in the training of football players and in post-traumatic rehabilitation. The aim of this study was to build and test an artificial intelligence-based model to assess the peak torque of the lower limb extensors and flexors. The model was based on real-world results in three groups: hearing ( = 19) and deaf football players ( = 28) and non-training deaf pupils ( = 46).
View Article and Find Full Text PDFSci Rep
January 2025
Department of Computer Science and Engineering, Engineering College Ajmer, Ajmer, Rajasthan, India.
To combat dynamically loaded code in anti-emulated environments, DLCDroid is an Android app analysis framework. DL-CDroid uses the reflection API to effectively identify information leaks due to dynamically loaded code within malicious apps, incorporating static and dynamic analysis techniques. The Dynamically Loaded Code (DLC) technique employs Java features to allow Android apps to dynamically expand their functionality at runtime.
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