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A comparison of force adaptation in toddlers and adults during a drawer opening task.

Sci Rep

January 2025

Department of Psychology, Faculty of Psychology and Sport Science, Justus Liebig University, Otto-Behaghel-Str. 10F, 35394, Gießen, Germany.

Adapting movements to rapidly changing conditions is fundamental for interacting with our dynamic environment. This adaptability relies on internal models that predict and evaluate sensory outcomes to adjust motor commands. Even infants anticipate object properties for efficient grasping, suggesting the use of internal models.

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Breast milk (BM) is the main nutrition source for infants that plays a key role on growth and development. Human milk composition includes endogenous and exogenous substances, including endocrine disrupting chemicals (EDCs). EDCs are man-made environmental chemicals present in everyday environment and food that can disrupt the programming of endocrine signalling pathways during development, resulting in adverse effects that may not be apparent until much later in life.

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Background: Autism spectrum disorder (ASD) is a heterogeneous neurobiological condition characterized by behavioral problems and delayed neurodevelopment. Although transcranial magnetic stimulation (TMS) has been proposed as an alternative treatment for patients with ASD because of its promising benefits in reducing repetitive behaviors and enhancing executive functions, the use of high-intensity pulses (Hi-TMS) appears to be related to the side effects of the therapy. Low-intensity TMS (Li-TMS) has been partially investigated, but it may have clinical effects on ASD and simultaneously increase treatment safety.

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The preferred period hypothesis posits a slowing down of motor and perceptual rhythmic preferences with age, both reflecting an increase in the common internal oscillation period. This study further investigates the preferred period hypothesis by improving the measurement of perceptual rhythmic preferences through two tasks, tempo adjustment and tempo judgment, conducted in auditory and visual modalities. The study was conducted with three groups of children (5-6, 8-9, and 11-12 years old), and a group of young adults (21 to 30 years old) during the same time of the day.

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Purpose: This study explores uses of artificial intelligence (AI) in health professions education for non-psychomotor skills training at undergraduate, postgraduate, and continuing health professions education levels for education program development, delivery, and evaluation.

Method: This scoping review was conducted in 5 stages: (1) planning and research, (2) search strategy, (3) screening and selection, (4) review and recording data, and (5) synthesis. Seven bibliographic databases were searched using the main search terms artificial intelligence and continuing health professional education for articles that used AI for the purposes of non-psychomotor skills training for health professions education and involved health care professionals and/or trainees.

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