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Uncertainty and disability are simultaneously well-studied and enigmatic conditions in medicine. Yet while uncertainty and disability have individually received significant attention, little mind has been paid to how they interact. Common assumptions and biases underscore the frequently negative view of both conditions. However, overemphasis on reducing and eliminating uncertainty has negatively impacted physicians beholden to a culture that venerates certainty. At the same time, medicine's focus on fixing and curing disability, which is founded on ableist practices and policies, has led to deleterious patient health outcomes. If what is required for equitable, person-centered care is a greater tolerance of uncertainty, then we might derive wider benefits from approaches with demonstrated efficacy in dismantling ableist logic. For this reason, we employ the social model of disability to formulate three interrelated strategies for reframing uncertainty as a source of possibility in clinical encounters and life more broadly. The first strategy entails reappraising mental models that have contributed to structural barriers. Applying Paul Han's framework for tolerance to pervasive sources of bias, we argue that reappraisal inhibits certainty preference from erasing the subjectivities that invigorate our collective wisdom and grant significance to our lived experiences. The second strategy involves reexamining ways of knowing that have controlled ways of being. By applying a critical lens to the labels and categories indispensable to contemporary knowledge systems, we illustrate how an ethics of uncertainty can help us realize the principles of epistemic justice. The third strategy involves replacing the "un-choosing of disability" as described by the disabled poet and activist Eli Clare with the reclaiming of uncertainty. This approach reveals how creating a medical culture that fosters meaning and purpose can positively influence the relational aspects of care. Collectively, these strategies form the foundation of a praxis necessary to foster tolerance of uncertainty and bodily variability throughout medicine. We conclude by demonstrating how leaning into the discomfort inherent to paradoxes can transform uncertainty from a limiting factor to a liberating force for epistemic justice.
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http://dx.doi.org/10.1080/10401334.2025.2521002 | DOI Listing |
Environ Monit Assess
September 2025
School of Civil Engineering, Putian University, Putian City, 351100, China.
Land degradation (LD) is a critical environmental challenge caused by human activities and climate change. Reversing degraded land requires effective LD monitoring. The UN Sustainable Development Goal (SDG) indicator 15.
View Article and Find Full Text PDFBr J Cancer
September 2025
Centre for Cancer Screening, Prevention and Early Diagnosis, Wolfson Institute of Population Health, Queen Mary University of London, London, E1 1HH, UK.
Background: Multi-cancer detection (MCED) blood tests have the potential to screen for early-stage cancers. Understanding how people experience an MCED cancer signal result is vital prior to any future implementation. We explored experiences in a trial context.
View Article and Find Full Text PDFISA Trans
September 2025
School of Automation, Northwestern Polytechnical University,1 Dongxiang Road, Chang'an District, Xi'an, Shaanxi 710129, PR China. Electronic address:
A novel practical predefined-time sliding mode control strategy is proposed for the flight formation of a small tandem-rotor wheeled UAV (TRW-UAV) with unknown upper bound external disturbances and uncertainties in this paper. Firstly, a new predefined-time sliding mode surface is proposed to guide all errors of the position and velocity loops to converge to the origin in a predefined-time. Furthermore, a dynamic surface control approach is utilized to circumvent the higher-order differentiation when controlling the actuator loop.
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September 2025
School of Astronautics, Harbin Institute of Technology, Harbin, China. Electronic address:
For space missions such as extraterrestrial sample collection, robotic rover exploration, and astronaut landings, the complex terrain and diverse gravitational environments make ground-based micro-low-gravity experimental systems essential for testing and validating spacecraft performance as well as supporting astronaut training. The suspended gravity unloading (SGO) system is a key device commonly used to simulate micro-low-gravity environments. However, the SGO system faces challenges due to model uncertainty and external disturbances, which limit improvements in control accuracy.
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