Discovering some of the impact of the hidden curriculum (HC) while doing a postgraduate diploma in pediatric palliative care (PPC) in South Africa (SA), six graduates reflected on their formal and informal learning. To navigate the HC the transformative learning theory is used as a bridge connecting the formal and informal learning between interprofessional education where diversity is an enabler to enhance learning outcomes and shift perspectives to enhance patient care. The graduates were guided through the stages of the competency model to reflect on their learning experience. The authors believe that the experiential lessons reflected on, both clinical and psychosocial, can assist with not only strengthening the particular multidisciplinary needs of students, but also to align the HC and formal curricula. These lessons can also aid toward upscaling the need for PPC education in the SA context.
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http://dx.doi.org/10.1089/jpm.2023.0470 | DOI Listing |
Cognition
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.
View Article and Find Full Text PDFNat Commun
January 2025
College of Chemistry, Nankai University, Tianjin, China.
Pathogenic intracellular bacteria pose a significant threat to global public health due to the barriers presented by host cells hindering the timely detection of hidden bacteria and the effective delivery of therapeutic agents. To address these challenges, we propose a tandem diagnosis-guided treatment paradigm. A supramolecular sensor array is developed for simple, rapid, accurate, and high-throughput identification of intracellular bacteria.
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