Children are constantly faced with challenges. They need to learn to persist but also to disengage from (still) unsolvable or too resource-consuming tasks. We examined the role of observing parental behavior in a challenging task for children's goal regulation behavior in the same task (modeling effect) and its transfer to another type of task (transfer effect). Goal regulation behavior was expressed as the number of task switches within the same type of task, with more task switches indicating increasingly disengaging behavior. In a correlational study (N = 42, M = 9.0 years, SD = 0.8) and an experimental study (N = 66, M = 9.2 years, SD = 1.4), children imitated their parents' behavior in the same type of task. Moreover, they generalized this behavior to another type of task when experiencing difficulties in goal pursuit in the correlational study as well as in the engagement condition of the experimental study, but not in the disengagement condition. The results suggest that children imitate and generalize their parents' persistent behavior but only selectively imitate their disengagement behavior.
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http://dx.doi.org/10.1016/j.jecp.2022.105463 | DOI Listing |
Front Artif Intell
January 2025
School of Engineering, Institute of Computer Science, Intelligent Information Systems Research Group, Zurich University of Applied Sciences, Winterthur, Switzerland.
Many different methods for prompting large language models have been developed since the emergence of OpenAI's ChatGPT in November 2022. In this work, we evaluate six different few-shot prompting methods. The first set of experiments evaluates three frameworks that focus on the quantity or type of shots in a prompt: a baseline method with a simple prompt and a small number of shots, random few-shot prompting with 10, 20, and 30 shots, and similarity-based few-shot prompting.
View Article and Find Full Text PDFInt J Sports Physiol Perform
January 2025
Laboratory of the Metabolic Adaptations to Exercise Under Physiological and Pathological Conditions (AME2P) UPR 3533, CRNH Auvergne, Clermont Auvergne University, Clermont-Ferrand, France.
Purpose: The impact of weight cycling (WC)-successive weight loss (WL) and weight regain (WG)-on athlete performance is well documented, but effects on appetite are not. This study assessed the impact of a WC episode on dietary and appetitive profiles in athletes, considering sex and sport type.
Methods: Athletes (28 male, 20 female) from combat (n = 23), strength (n = 12), and endurance (n = 13) sports participated in 3 conditions during a WC episode (baseline, WL, WG).
Unlabelled: Autism Spectrum Disorder (ASD) is characterized by restricted and repetitive behaviors and social differences, both of which may manifest, in part, from underlying differences in corticostriatal circuits and reinforcement learning. Here, we investigated reinforcement learning in mice with mutations in either or , both high-confidence ASD risk genes associated with major syndromic forms of ASD. Using an odor-based two-alternative forced choice (2AFC) task, we tested adolescent mice of both sexes and found male and heterozygote (Het) mice showed enhanced learning performance compared to their wild type (WT) siblings.
View Article and Find Full Text PDFNat Commun
January 2025
Department of Biostatistics, University of Michigan, Ann Arbor, MI, USA.
An essential task in spatial transcriptomics is identifying spatially variable genes (SVGs). Here, we present Celina, a statistical method for systematically detecting cell type-specific SVGs (ct-SVGs)-a subset of SVGs exhibiting distinct spatial expression patterns within specific cell types. Celina utilizes a spatially varying coefficient model to accurately capture each gene's spatial expression pattern in relation to the distribution of cell types across tissue locations, ensuring effective type I error control and high power.
View Article and Find Full Text PDFJ Sport Health Sci
January 2025
School of Medical and Health Sciences, Edith Cowan University, Joondalup WA 6027, Australia.
Background: While muscle contractility increases with muscle temperature, there is no consensus on the best warm-up protocol to use before resistance training or sports exercise due to the range of possible warm-up and testing combinations available. Therefore, the objective of the current study was to determine the effects of different warm-up types (active, exercise-based vs. passive) on muscle function tested using different activation methods (voluntary vs.
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