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In Physics of Fluids, Vega et al. researched human tears at the micron level to reveal new ways of customizing artificial tears to address individual symptoms of dry eye disease. The detailed insights they gained about the composition and behavior of tears could also apply to the study of ocular pathogens as well as other biological fluids. The authors collected healthy human tears and tested 10 different formulations of artificial tears and applied microrheology methods using dynamic light scattering.

from Top Health News -- ScienceDaily https://ift.tt/qIzTXE4

Robots and artificial intelligence (AI) are expected to play a key role in nursing practice in the future. In this regard, researchers from Japan ask whether intelligent machines can replace humans as nurses. They investigate the potential of current advancements in robotics and AI to replicate the ethical concepts attributed to nurses, including advocacy, accountability, cooperation, and caring. While these technologies hold promise in enhancing healthcare practices, their integration into nursing requires careful consideration.

from Top Health News -- ScienceDaily https://ift.tt/08DjaHe

'Metarecognition' is the ability to objectively monitor, control, and improve one's learning ability. Researchers demonstrated that the human brain exhibits metacognitive abilities that regulate implicit motor learning to maximize monetary rewards. Unlike artificial intelligence, which is perpetually optimal, human metacognition exhibits an asymmetric bias in managing rewards (monetary gain) and punishments (monetary loss).

from Top Health News -- ScienceDaily https://ift.tt/7UWaEG0

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