Uncertainty is a feature of healthcare practice. In recognition of this, multiple health profession governing bodies identify uncertainty tolerance as a healthcare graduate attribute and evaluate uncertainty tolerance within new graduate cohorts. While it is clear that uncertainty tolerance development for healthcare learners is valued, gaps remain for practically addressing this within healthcare curricula. Guiding frameworks for practical approaches supporting uncertainty tolerance development in healthcare learners remains sparse, particularly outside of medicine and in certain geographical locations. As uncertainty tolerance is increasingly recognised as being, at least in part, state-based (e.g. contextually changeable)- a broader understanding of teaching practices supporting uncertainty tolerance development in diverse health professions is warranted. This study explored educators' teaching practices for purposefully stimulating learners' uncertainty tolerance. Semi-structured interviews investigated how academics at a single institution, from diverse fields and health professions, stimulate uncertainty across multiple learning contexts. Framework analysis identified three themes for stimulating uncertainty: Purposeful questioning, Forecasting uncertainty, and Placing learners in unfamiliar environments, with characterisation of these themes (and related subthemes) also described. Many of the identified themes align with aspects of existing learning theories suggesting that curricular frameworks supporting learner uncertainty tolerance development may be informed by theories beyond the boundaries of health professions education research.
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http://dx.doi.org/10.1007/s10459-024-10345-z | DOI Listing |
Sci Rep
January 2025
Faculty of Engineering, Helwan University, Cairo, Egypt.
Frequency regulation in isolated microgrids is challenging due to system uncertainties and varying load demands. This study presents an optimal µ-synthesis robust control strategy that regulates microgrid frequency while enhancing system performance and stability-a proposed fixed-structure approach for selecting performance and robustness weights, informed by subsystem frequency analysis. The controller is optimized using multi-objective particle swarm optimization (MOPSO) and multi-objective genetic algorithm (MOGA) under inequality constraints, employing a Pareto front to identify optimal solutions.
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January 2025
Radiological Techniques Department, College of Health and Medical Techniques, AL-Mustaqbal University, Hillah, Babil, 51001, Iraq.
This paper proposes a hybrid stochastic-robust optimization framework for sizing a photovoltaic/tidal/fuel cell (PV/TDL/FC) system to meet an annual educational building demand based on hydrogen storage via unscented transformation (UT), and information gap decision theory-based risk-averse strategy (IGDT-RA). The hybrid framework integrates the strengths of UT for scenario generation and IGDT-RA (hybrid UT-IGDT-RA) for optimizing the system robustness and maximum uncertainty radius (MRU) of building energy demand and renewable resource generation. The deterministic model focuses on minimizing the cost of energy production over the project's lifespan (CEPLS) and considers a reliability constraint defined as the demand shortage probability (DSHP).
View Article and Find Full Text PDFBull Cancer
January 2025
Palliative Care Unit, ULR 2694 METRICS, CHU de Lille, Université de Lille, 59000 Lille, France.
Introduction: Immune checkpoint inhibition has revolutionized the management of metastatic melanoma, including in the final stages of disease progression: because it is well tolerated, some teams do not discontinue it in hopes of slowing disease progression. The risks are that treatment may be continued unnecessarily, causing side effects, and reduce access to specialist palliative care, in addition to increasing the cost of treatment.
Method: We explored the experiences of 10 patients in a university hospital with metastatic melanoma under continued immune checkpoint inhibitors combined with specialist palliative care.
PLoS One
January 2025
College of Mining, Liaoning Technical University, Fuxin, Liaoning Province, People's Republic of China.
The determination of optimal production capacity for open-pit mines is influenced by various economic and technical factors and is highly susceptible to uncertainties. To effectively address the impact of uncertainty on capacity planning, this study develops a production capacity planning model for open-pit coal mines, based on the theory of economies of scale and incorporating multiple uncertainty constraints. A novel method is proposed to quantify and propagate the uncertainties of key capacity control factors, alongside a comprehensive uncertainty analysis framework for total revenue.
View Article and Find Full Text PDFAm J Physiol Heart Circ Physiol
January 2025
Department of Pharmacology, Physiology and Neurobiology, University of Cincinnati College of Medicine, Cincinnati, OH.
Lower body negative pressure (LBNP) has been used for decades in humans to model arterial baroreceptor unloading and represents a powerful tool for evaluating cardiovascular responses to orthostatic challenge. However, LBNP studies in animals have been limited to conditions of anesthesia or sedation, where cardiovascular reflexes are altered. Given the consequent uncertainties, the usefulness of LBNP studies in these preclinical models has been severely hampered.
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